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| author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2023-04-03 07:31:54 +0000 |
|---|---|---|
| committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2023-04-03 07:31:54 +0000 |
| commit | b38d717d5933fdae3fe85c87df7aee9a251fb58e (patch) | |
| tree | 6db21a44ffea4c832dcab29688bfaf1c1dc124f9 /tests | |
| parent | Releasing debian version 11.4.1-1. (diff) | |
| download | sqlglot-b38d717d5933fdae3fe85c87df7aee9a251fb58e.tar.xz sqlglot-b38d717d5933fdae3fe85c87df7aee9a251fb58e.zip | |
Merging upstream version 11.4.5.
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to '')
27 files changed, 13517 insertions, 74 deletions
diff --git a/tests/dialects/test_bigquery.py b/tests/dialects/test_bigquery.py index e731b50..e210292 100644 --- a/tests/dialects/test_bigquery.py +++ b/tests/dialects/test_bigquery.py @@ -6,6 +6,8 @@ class TestBigQuery(Validator): dialect = "bigquery" def test_bigquery(self): + self.validate_identity("SELECT AS STRUCT 1 AS a, 2 AS b") + self.validate_identity("SELECT AS VALUE STRUCT(1 AS a, 2 AS b)") self.validate_identity("SELECT STRUCT<ARRAY<STRING>>(['2023-01-17'])") self.validate_identity("SELECT * FROM q UNPIVOT(values FOR quarter IN (b, c))") self.validate_identity( @@ -13,6 +15,15 @@ class TestBigQuery(Validator): ) self.validate_all("LEAST(x, y)", read={"sqlite": "MIN(x, y)"}) + self.validate_all("CAST(x AS CHAR)", write={"bigquery": "CAST(x AS STRING)"}) + self.validate_all("CAST(x AS NCHAR)", write={"bigquery": "CAST(x AS STRING)"}) + self.validate_all("CAST(x AS NVARCHAR)", write={"bigquery": "CAST(x AS STRING)"}) + self.validate_all( + "SELECT ARRAY(SELECT AS STRUCT 1 a, 2 b)", + write={ + "bigquery": "SELECT ARRAY(SELECT AS STRUCT 1 AS a, 2 AS b)", + }, + ) self.validate_all( "REGEXP_CONTAINS('foo', '.*')", read={"bigquery": "REGEXP_CONTAINS('foo', '.*')"}, diff --git a/tests/dialects/test_dialect.py b/tests/dialects/test_dialect.py index 6214c43..0805e9c 100644 --- a/tests/dialects/test_dialect.py +++ b/tests/dialects/test_dialect.py @@ -812,11 +812,13 @@ class TestDialect(Validator): self.validate_all( "JSON_EXTRACT(x, 'y')", read={ + "mysql": "JSON_EXTRACT(x, 'y')", "postgres": "x->'y'", "presto": "JSON_EXTRACT(x, 'y')", "starrocks": "x -> 'y'", }, write={ + "mysql": "JSON_EXTRACT(x, 'y')", "oracle": "JSON_EXTRACT(x, 'y')", "postgres": "x -> 'y'", "presto": "JSON_EXTRACT(x, 'y')", @@ -835,6 +837,17 @@ class TestDialect(Validator): }, ) self.validate_all( + "JSON_EXTRACT_SCALAR(stream_data, '$.data.results')", + read={ + "hive": "GET_JSON_OBJECT(stream_data, '$.data.results')", + "mysql": "stream_data ->> '$.data.results'", + }, + write={ + "hive": "GET_JSON_OBJECT(stream_data, '$.data.results')", + "mysql": "stream_data ->> '$.data.results'", + }, + ) + self.validate_all( "JSONB_EXTRACT(x, 'y')", read={ "postgres": "x#>'y'", @@ -1000,6 +1013,7 @@ class TestDialect(Validator): self.validate_identity("some.column LIKE 'foo' || another.column || 'bar' || LOWER(x)") self.validate_identity("some.column LIKE 'foo' + another.column + 'bar'") + self.validate_all("LIKE(x, 'z')", write={"": "'z' LIKE x"}) self.validate_all( "x ILIKE '%y'", read={ @@ -1196,9 +1210,13 @@ class TestDialect(Validator): ) self.validate_all( "SELECT x FROM y LIMIT 10", + read={ + "tsql": "SELECT TOP 10 x FROM y", + }, write={ "sqlite": "SELECT x FROM y LIMIT 10", "oracle": "SELECT x FROM y FETCH FIRST 10 ROWS ONLY", + "tsql": "SELECT x FROM y FETCH FIRST 10 ROWS ONLY", }, ) self.validate_all( @@ -1493,6 +1511,46 @@ SELECT }, ) + def test_logarithm(self): + self.validate_all( + "LOG(x)", + read={ + "duckdb": "LOG(x)", + "postgres": "LOG(x)", + "redshift": "LOG(x)", + "sqlite": "LOG(x)", + "teradata": "LOG(x)", + }, + ) + self.validate_all( + "LN(x)", + read={ + "bigquery": "LOG(x)", + "clickhouse": "LOG(x)", + "databricks": "LOG(x)", + "drill": "LOG(x)", + "hive": "LOG(x)", + "mysql": "LOG(x)", + "tsql": "LOG(x)", + }, + ) + self.validate_all( + "LOG(b, n)", + read={ + "bigquery": "LOG(n, b)", + "databricks": "LOG(b, n)", + "drill": "LOG(b, n)", + "hive": "LOG(b, n)", + "mysql": "LOG(b, n)", + "oracle": "LOG(b, n)", + "postgres": "LOG(b, n)", + "snowflake": "LOG(b, n)", + "spark": "LOG(b, n)", + "sqlite": "LOG(b, n)", + "tsql": "LOG(n, b)", + }, + ) + def test_count_if(self): self.validate_identity("COUNT_IF(DISTINCT cond)") diff --git a/tests/dialects/test_duckdb.py b/tests/dialects/test_duckdb.py index 1cabade..a15e6b4 100644 --- a/tests/dialects/test_duckdb.py +++ b/tests/dialects/test_duckdb.py @@ -125,6 +125,7 @@ class TestDuckDB(Validator): "SELECT a['x space'] FROM (SELECT {'x space': 1, 'y': 2, 'z': 3} AS a)" ) + self.validate_all("x ~ y", write={"duckdb": "REGEXP_MATCHES(x, y)"}) self.validate_all("SELECT * FROM 'x.y'", write={"duckdb": 'SELECT * FROM "x.y"'}) self.validate_all( "WITH 'x' AS (SELECT 1) SELECT * FROM x", diff --git a/tests/dialects/test_hive.py b/tests/dialects/test_hive.py index 8484805..0161f1e 100644 --- a/tests/dialects/test_hive.py +++ b/tests/dialects/test_hive.py @@ -247,6 +247,30 @@ class TestHive(Validator): def test_time(self): self.validate_all( + "(UNIX_TIMESTAMP(y) - UNIX_TIMESTAMP(x)) * 1000", + read={ + "presto": "DATE_DIFF('millisecond', x, y)", + }, + ) + self.validate_all( + "UNIX_TIMESTAMP(y) - UNIX_TIMESTAMP(x)", + read={ + "presto": "DATE_DIFF('second', x, y)", + }, + ) + self.validate_all( + "(UNIX_TIMESTAMP(y) - UNIX_TIMESTAMP(x)) / 60", + read={ + "presto": "DATE_DIFF('minute', x, y)", + }, + ) + self.validate_all( + "(UNIX_TIMESTAMP(y) - UNIX_TIMESTAMP(x)) / 3600", + read={ + "presto": "DATE_DIFF('hour', x, y)", + }, + ) + self.validate_all( "DATEDIFF(a, b)", write={ "duckdb": "DATE_DIFF('day', CAST(b AS DATE), CAST(a AS DATE))", diff --git a/tests/dialects/test_mysql.py b/tests/dialects/test_mysql.py index 5f8560a..5059d05 100644 --- a/tests/dialects/test_mysql.py +++ b/tests/dialects/test_mysql.py @@ -16,6 +16,7 @@ class TestMySQL(Validator): ) def test_identity(self): + self.validate_identity("x ->> '$.name'") self.validate_identity("SELECT CAST(`a`.`b` AS INT) FROM foo") self.validate_identity("SELECT TRIM(LEADING 'bla' FROM ' XXX ')") self.validate_identity("SELECT TRIM(TRAILING 'bla' FROM ' XXX ')") @@ -424,6 +425,10 @@ COMMENT='客户账户表'""" show = self.validate_identity("SHOW INDEX FROM foo FROM bar") self.assertEqual(show.text("db"), "bar") + self.validate_all( + "SHOW INDEX FROM bar.foo", write={"mysql": "SHOW INDEX FROM foo FROM bar"} + ) + def test_show_db_like_or_where_sql(self): for key in [ "OPEN TABLES", diff --git a/tests/dialects/test_oracle.py b/tests/dialects/test_oracle.py index 4dc3f1b..80fa0f1 100644 --- a/tests/dialects/test_oracle.py +++ b/tests/dialects/test_oracle.py @@ -12,6 +12,24 @@ class TestOracle(Validator): self.validate_identity("SELECT e1.x, e2.x FROM e e1, e e2 WHERE e1.y = e2.y (+)") self.validate_identity("SELECT e1.x, e2.x FROM e e1, e e2 WHERE e1.y (+) = e2.y (+)") + def test_hints(self): + self.validate_identity("SELECT /*+ USE_NL(A B) */ A.COL_TEST FROM TABLE_A A, TABLE_B B") + self.validate_identity( + "SELECT /*+ INDEX(v.j jhist_employee_ix (employee_id start_date)) */ * FROM v" + ) + self.validate_identity( + "SELECT /*+ USE_NL(A B C) */ A.COL_TEST FROM TABLE_A A, TABLE_B B, TABLE_C C" + ) + self.validate_identity( + "SELECT /*+ NO_INDEX(employees emp_empid) */ employee_id FROM employees WHERE employee_id > 200" + ) + self.validate_identity( + "SELECT /*+ NO_INDEX_FFS(items item_order_ix) */ order_id FROM order_items items" + ) + self.validate_identity( + "SELECT /*+ LEADING(e j) */ * FROM employees e, departments d, job_history j WHERE e.department_id = d.department_id AND e.hire_date = j.start_date" + ) + def test_xml_table(self): self.validate_identity("XMLTABLE('x')") self.validate_identity("XMLTABLE('x' RETURNING SEQUENCE BY REF)") diff --git a/tests/dialects/test_postgres.py b/tests/dialects/test_postgres.py index c8dea95..a89ae30 100644 --- a/tests/dialects/test_postgres.py +++ b/tests/dialects/test_postgres.py @@ -194,8 +194,9 @@ class TestPostgres(Validator): write={ "postgres": "SELECT * FROM x FETCH FIRST 1 ROWS ONLY", "presto": "SELECT * FROM x FETCH FIRST 1 ROWS ONLY", - "hive": "SELECT * FROM x FETCH FIRST 1 ROWS ONLY", - "spark": "SELECT * FROM x FETCH FIRST 1 ROWS ONLY", + "hive": "SELECT * FROM x LIMIT 1", + "spark": "SELECT * FROM x LIMIT 1", + "sqlite": "SELECT * FROM x LIMIT 1", }, ) self.validate_all( diff --git a/tests/dialects/test_presto.py b/tests/dialects/test_presto.py index 0a9111c..1762e7a 100644 --- a/tests/dialects/test_presto.py +++ b/tests/dialects/test_presto.py @@ -370,6 +370,12 @@ class TestPresto(Validator): self.validate_identity("APPROX_PERCENTILE(a, b, c, d)") self.validate_all( + "SELECT JSON_OBJECT(KEY 'key1' VALUE 1, KEY 'key2' VALUE TRUE)", + write={ + "presto": "SELECT JSON_OBJECT('key1': 1, 'key2': TRUE)", + }, + ) + self.validate_all( "ARRAY_AGG(x ORDER BY y DESC)", write={ "hive": "COLLECT_LIST(x)", diff --git a/tests/dialects/test_snowflake.py b/tests/dialects/test_snowflake.py index 5f6efce..940fa50 100644 --- a/tests/dialects/test_snowflake.py +++ b/tests/dialects/test_snowflake.py @@ -530,6 +530,7 @@ class TestSnowflake(Validator): "snowflake": "DATEADD(DAY, 5, CAST('2008-12-25' AS DATE))", }, ) + self.validate_identity("DATEDIFF(DAY, 5, CAST('2008-12-25' AS DATE))") def test_semi_structured_types(self): self.validate_identity("SELECT CAST(a AS VARIANT)") @@ -814,6 +815,7 @@ FROM persons AS p, LATERAL FLATTEN(input => p.c, path => 'contact') AS f, LATERA self.assertIsInstance(like, exp.LikeAny) self.assertIsInstance(ilike, exp.ILikeAny) + like.sql() # check that this doesn't raise def test_match_recognize(self): for row in ( diff --git a/tests/dialects/test_spark.py b/tests/dialects/test_spark.py index 5b21349..b12f272 100644 --- a/tests/dialects/test_spark.py +++ b/tests/dialects/test_spark.py @@ -212,6 +212,7 @@ TBLPROPERTIES ( self.validate_identity("TRIM(BOTH 'SL' FROM 'SSparkSQLS')") self.validate_identity("TRIM(LEADING 'SL' FROM 'SSparkSQLS')") self.validate_identity("TRIM(TRAILING 'SL' FROM 'SSparkSQLS')") + self.validate_identity("SPLIT(str, pattern, lim)") self.validate_all( "CAST(x AS TIMESTAMP)", read={"trino": "CAST(x AS TIMESTAMP(6) WITH TIME ZONE)"} diff --git a/tests/dialects/test_sqlite.py b/tests/dialects/test_sqlite.py index 98c4a79..fd9e52b 100644 --- a/tests/dialects/test_sqlite.py +++ b/tests/dialects/test_sqlite.py @@ -56,6 +56,11 @@ class TestSQLite(Validator): ) def test_sqlite(self): + self.validate_all("SELECT LIKE(y, x)", write={"sqlite": "SELECT x LIKE y"}) + self.validate_all("SELECT GLOB('*y*', 'xyz')", write={"sqlite": "SELECT 'xyz' GLOB '*y*'"}) + self.validate_all( + "SELECT LIKE('%y%', 'xyz', '')", write={"sqlite": "SELECT 'xyz' LIKE '%y%' ESCAPE ''"} + ) self.validate_all( "CURRENT_DATE", read={ diff --git a/tests/dialects/test_tsql.py b/tests/dialects/test_tsql.py index 4224a1e..60867be 100644 --- a/tests/dialects/test_tsql.py +++ b/tests/dialects/test_tsql.py @@ -7,6 +7,7 @@ class TestTSQL(Validator): def test_tsql(self): self.validate_identity("SELECT CASE WHEN a > 1 THEN b END") + self.validate_identity("SELECT * FROM taxi ORDER BY 1 OFFSET 0 ROWS FETCH NEXT 3 ROWS ONLY") self.validate_identity("END") self.validate_identity("@x") self.validate_identity("#x") @@ -567,15 +568,21 @@ WHERE write={"spark": "LAST_DAY(ADD_MONTHS(CURRENT_TIMESTAMP(), -1))"}, ) - def test_variables(self): - # In TSQL @, # can be used as a prefix for variables/identifiers - expr = parse_one("@x", read="tsql") - self.assertIsInstance(expr, exp.Column) - self.assertIsInstance(expr.this, exp.Identifier) - + def test_identifier_prefixes(self): expr = parse_one("#x", read="tsql") self.assertIsInstance(expr, exp.Column) self.assertIsInstance(expr.this, exp.Identifier) + self.assertEqual(expr.sql("tsql"), "#x") + + expr = parse_one("@x", read="tsql") + self.assertIsInstance(expr, exp.Parameter) + self.assertIsInstance(expr.this, exp.Var) + self.assertEqual(expr.sql("tsql"), "@x") + + table = parse_one("select * from @x", read="tsql").args["from"].expressions[0] + self.assertIsInstance(table, exp.Table) + self.assertIsInstance(table.this, exp.Parameter) + self.assertIsInstance(table.this.this, exp.Var) def test_system_time(self): self.validate_all( diff --git a/tests/fixtures/identity.sql b/tests/fixtures/identity.sql index 3551423..5fab65b 100644 --- a/tests/fixtures/identity.sql +++ b/tests/fixtures/identity.sql @@ -74,6 +74,7 @@ a.b.INT(1.234) INT(x / 100) time * 100 int * 100 +dec + 1 x IN (-1, 1) x IN ('a', 'a''a') x IN ((1)) @@ -114,7 +115,6 @@ SPLIT(SPLIT(referrer, 'utm_source=')[OFFSET(1)], "&")[OFFSET(0)] x[ORDINAL(1)][SAFE_OFFSET(2)] x GLOB '??-*' x GLOB y -LIKE(x, 'z') ILIKE(x, 'z') x LIKE SUBSTR('abc', 1, 1) x LIKE y @@ -272,6 +272,7 @@ SELECT a FROM test WHERE TRUE OR NOT EXISTS(SELECT * FROM x) SELECT a AS any, b AS some, c AS all, d AS exists FROM test WHERE a = ANY (SELECT 1) SELECT a FROM test WHERE a > ALL (SELECT 1) SELECT a FROM test WHERE (a, b) IN (SELECT 1, 2) +SELECT X((SELECT 1) UNION (SELECT 2)) SELECT a FROM test ORDER BY a SELECT a FROM test ORDER BY a, b SELECT x FROM tests ORDER BY a DESC, b DESC, c @@ -646,6 +647,7 @@ DROP TABLE a.b DROP TABLE IF EXISTS a DROP TABLE IF EXISTS a.b DROP TABLE a CASCADE +DROP TABLE s_hajo CASCADE CONSTRAINTS DROP VIEW a DROP VIEW a.b DROP VIEW IF EXISTS a @@ -697,7 +699,7 @@ WITH a AS (SELECT * FROM b) DELETE FROM a WITH a AS (SELECT * FROM b) CACHE TABLE a SELECT ? AS ? FROM x WHERE b BETWEEN ? AND ? GROUP BY ?, 1 LIMIT ? SELECT :hello, ? FROM x LIMIT :my_limit -SELECT * FROM x FETCH NEXT @take ROWS ONLY OFFSET @skip +SELECT * FROM x OFFSET @skip FETCH NEXT @take ROWS ONLY WITH a AS ((SELECT b.foo AS foo, b.bar AS bar FROM b) UNION ALL (SELECT c.foo AS foo, c.bar AS bar FROM c)) SELECT * FROM a WITH a AS ((SELECT 1 AS b) UNION ALL (SELECT 1 AS b)) SELECT * FROM a SELECT (WITH x AS (SELECT 1 AS y) SELECT * FROM x) AS z @@ -762,11 +764,13 @@ ALTER TABLE pets ADD CONSTRAINT pets_persons_fk FOREIGN KEY (owner_first_name, o ALTER TABLE pets ADD CONSTRAINT pets_name_not_cute_chk CHECK (LENGTH(name) < 20) ALTER TABLE people10m ADD CONSTRAINT dateWithinRange CHECK (birthDate > '1900-01-01') ALTER TABLE people10m ADD CONSTRAINT validIds CHECK (id > 1 AND id < 99999999) ENFORCED +ALTER TABLE s_ut ADD CONSTRAINT s_ut_uq UNIQUE hajo ALTER TABLE baa ADD CONSTRAINT boo PRIMARY KEY (x, y) NOT ENFORCED DEFERRABLE INITIALLY DEFERRED NORELY ALTER TABLE baa ADD CONSTRAINT boo PRIMARY KEY (x, y) NOT ENFORCED DEFERRABLE INITIALLY DEFERRED NORELY ALTER TABLE baa ADD CONSTRAINT boo FOREIGN KEY (x, y) REFERENCES persons ON UPDATE NO ACTION ON DELETE NO ACTION MATCH FULL ALTER TABLE a ADD PRIMARY KEY (x, y) NOT ENFORCED ALTER TABLE a ADD FOREIGN KEY (x, y) REFERENCES bla +SELECT partition FROM a SELECT end FROM a SELECT id FROM b.a AS a QUALIFY ROW_NUMBER() OVER (PARTITION BY br ORDER BY sadf DESC) = 1 SELECT LEFT.FOO FROM BLA AS LEFT @@ -776,3 +780,23 @@ SELECT * FROM x WHERE name ILIKE ANY XXX('a', 'b') SELECT * FROM x WHERE name LIKE ANY XXX('a', 'b') a OVERLAPS b GRANT INSERT ON foo TO bla +PRAGMA quick_check +PRAGMA QUICK_CHECK(0) +PRAGMA QUICK_CHECK('sqlite_master') +PRAGMA schema.quick_check +PRAGMA schema.QUICK_CHECK(0) +PRAGMA schema.QUICK_CHECK('sqlite_master') +PRAGMA synchronous = 2 +PRAGMA synchronous = FULL +PRAGMA memory_limit = '1GB' +PRAGMA schema.synchronous = 2 +PRAGMA schema.synchronous = FULL +PRAGMA schema.memory_limit = '1GB' +JSON_OBJECT() +JSON_OBJECT('key1': 1, 'key2': TRUE) +JSON_OBJECT('id': '5', 'fld1': 'bla', 'fld2': 'bar') +JSON_OBJECT('x': NULL, 'y': 1 NULL ON NULL) +JSON_OBJECT('x': NULL, 'y': 1 WITH UNIQUE KEYS) +JSON_OBJECT('x': NULL, 'y': 1 ABSENT ON NULL WITH UNIQUE KEYS) +JSON_OBJECT('x': 1 RETURNING VARCHAR(100)) +JSON_OBJECT('x': 1 RETURNING VARBINARY FORMAT JSON ENCODING UTF8) diff --git a/tests/fixtures/optimizer/canonicalize.sql b/tests/fixtures/optimizer/canonicalize.sql index 50fee7f..7582f3a 100644 --- a/tests/fixtures/optimizer/canonicalize.sql +++ b/tests/fixtures/optimizer/canonicalize.sql @@ -10,6 +10,9 @@ SELECT CAST(1 AS VARCHAR) AS "a" FROM "w" AS "w"; SELECT CAST(1 + 3.2 AS DOUBLE) AS a FROM w AS w; SELECT 1 + 3.2 AS "a" FROM "w" AS "w"; +SELECT CAST("2022-01-01" AS DATE) + INTERVAL '1' day; +SELECT CAST("2022-01-01" AS DATE) + INTERVAL '1' "day" AS "_col_0"; + -------------------------------------- -- Ensure boolean predicates -------------------------------------- diff --git a/tests/fixtures/optimizer/optimizer.sql b/tests/fixtures/optimizer/optimizer.sql index 0b5504d..c5112b2 100644 --- a/tests/fixtures/optimizer/optimizer.sql +++ b/tests/fixtures/optimizer/optimizer.sql @@ -461,3 +461,43 @@ SELECT * FROM "db1"."tbl" AS "tbl" CROSS JOIN "db2"."tbl" AS "tbl_2"; + +SELECT +*, +IFF( + IFF( + uploaded_at >= '2022-06-16', + 'workday', + 'bamboohr' + ) = source_system, + 1, + 0 +) AS sort_order +FROM +unioned +WHERE +( + source_system = 'workday' + AND '9999-01-01' >= '2022-06-16' +) +OR ( + source_system = 'bamboohr' + AND '0001-01-01' < '2022-06-16' +) QUALIFY ROW_NUMBER() OVER ( + PARTITION BY unique_filter_key + ORDER BY + sort_order DESC, + 1 +) = 1; +SELECT + *, + IFF( + IFF("unioned"."uploaded_at" >= '2022-06-16', 'workday', 'bamboohr') = "unioned"."source_system", + 1, + 0 + ) AS "sort_order" +FROM "unioned" AS "unioned" +WHERE + "unioned"."source_system" = 'bamboohr' OR "unioned"."source_system" = 'workday' +QUALIFY + ROW_NUMBER() OVER (PARTITION BY "unioned"."unique_filter_key" ORDER BY "unioned"."sort_order" DESC, 1) = 1; diff --git a/tests/fixtures/optimizer/qualify_columns.sql b/tests/fixtures/optimizer/qualify_columns.sql index 46c576a..df65e65 100644 --- a/tests/fixtures/optimizer/qualify_columns.sql +++ b/tests/fixtures/optimizer/qualify_columns.sql @@ -92,6 +92,12 @@ SELECT SUM(x.a) AS c FROM x AS x JOIN y AS y ON x.b = y.b GROUP BY y.c; SELECT COALESCE(x.a) AS d FROM x JOIN y ON x.b = y.b GROUP BY d; SELECT COALESCE(x.a) AS d FROM x AS x JOIN y AS y ON x.b = y.b GROUP BY COALESCE(x.a); +SELECT a + 1 AS d FROM x WHERE d > 1; +SELECT x.a + 1 AS d FROM x AS x WHERE x.a + 1 > 1; + +SELECT a + 1 AS d, d + 2 FROM x; +SELECT x.a + 1 AS d, x.a + 1 + 2 AS _col_1 FROM x AS x; + SELECT a AS a, b FROM x ORDER BY a; SELECT x.a AS a, x.b AS b FROM x AS x ORDER BY a; @@ -282,6 +288,30 @@ SELECT COALESCE(x.b, y.b) AS b FROM x AS x JOIN y AS y ON x.b = y.b WHERE COALES SELECT b FROM x JOIN y USING (b) JOIN z USING (b); SELECT COALESCE(x.b, y.b, z.b) AS b FROM x AS x JOIN y AS y ON x.b = y.b JOIN z AS z ON x.b = z.b; +SELECT * FROM x JOIN y USING(b); +SELECT x.a AS a, COALESCE(x.b, y.b) AS b, y.c AS c FROM x AS x JOIN y AS y ON x.b = y.b; + +SELECT x.* FROM x JOIN y USING(b); +SELECT x.a AS a, COALESCE(x.b, y.b) AS b FROM x AS x JOIN y AS y ON x.b = y.b; + +SELECT * FROM x LEFT JOIN y USING(b); +SELECT x.a AS a, COALESCE(x.b, y.b) AS b, y.c AS c FROM x AS x LEFT JOIN y AS y ON x.b = y.b; + +SELECT b FROM x JOIN y USING(b); +SELECT COALESCE(x.b, y.b) AS b FROM x AS x JOIN y AS y ON x.b = y.b; + +SELECT b, c FROM x JOIN y USING(b); +SELECT COALESCE(x.b, y.b) AS b, y.c AS c FROM x AS x JOIN y AS y ON x.b = y.b; + +SELECT b, c FROM y JOIN z USING(b, c); +SELECT COALESCE(y.b, z.b) AS b, COALESCE(y.c, z.c) AS c FROM y AS y JOIN z AS z ON y.b = z.b AND y.c = z.c; + +SELECT * FROM y JOIN z USING(b, c); +SELECT COALESCE(y.b, z.b) AS b, COALESCE(y.c, z.c) AS c FROM y AS y JOIN z AS z ON y.b = z.b AND y.c = z.c; + +SELECT * FROM y JOIN z USING(b, c) WHERE b = 2 AND c = 3; +SELECT COALESCE(y.b, z.b) AS b, COALESCE(y.c, z.c) AS c FROM y AS y JOIN z AS z ON y.b = z.b AND y.c = z.c WHERE COALESCE(y.b, z.b) = 2 AND COALESCE(y.c, z.c) = 3; + -------------------------------------- -- Hint with table reference -------------------------------------- diff --git a/tests/fixtures/optimizer/simplify.sql b/tests/fixtures/optimizer/simplify.sql index 4e9e70c..08e8700 100644 --- a/tests/fixtures/optimizer/simplify.sql +++ b/tests/fixtures/optimizer/simplify.sql @@ -141,6 +141,9 @@ A OR C; (A OR C) AND (A OR B OR C); A OR C; +A AND (B AND C) AND (D AND E); +A AND B AND C AND D AND E; + -------------------------------------- -- Elimination -------------------------------------- @@ -249,6 +252,12 @@ x = x; (('a' = 'a') AND TRUE and NOT FALSE); TRUE; +(x = y) and z; +x = y AND z; + +x * (1 - y); +x * (1 - y); + -------------------------------------- -- Literals -------------------------------------- @@ -310,7 +319,7 @@ TRUE; 8.0; 6 - 2 + 4 * 2 + a; -12 + a; +a + 12; a + 1 + 1 + 2; a + 4; @@ -367,7 +376,7 @@ interval '1' year + date '1998-01-01'; CAST('1999-01-01' AS DATE); interval '1' year + date '1998-01-01' + 3 * 7 * 4; -CAST('1999-01-01' AS DATE) + 84; +84 + CAST('1999-01-01' AS DATE); date '1998-12-01' - interval '90' foo; CAST('1998-12-01' AS DATE) - INTERVAL '90' foo; @@ -554,3 +563,6 @@ x <= 10 AND x >= 9; 1 < x AND 3 < x; x > 3; + +'a' < 'b'; +TRUE; diff --git a/tests/fixtures/optimizer/tpc-ds/tpc-ds.sql b/tests/fixtures/optimizer/tpc-ds/tpc-ds.sql new file mode 100644 index 0000000..b92ad37 --- /dev/null +++ b/tests/fixtures/optimizer/tpc-ds/tpc-ds.sql @@ -0,0 +1,12613 @@ +-------------------------------------- +-- TPC-DS 1 +-------------------------------------- +WITH customer_total_return + AS (SELECT sr_customer_sk AS ctr_customer_sk, + sr_store_sk AS ctr_store_sk, + Sum(sr_return_amt) AS ctr_total_return + FROM store_returns, + date_dim + WHERE sr_returned_date_sk = d_date_sk + AND d_year = 2001 + GROUP BY sr_customer_sk, + sr_store_sk) +SELECT c_customer_id +FROM customer_total_return ctr1, + store, + customer +WHERE ctr1.ctr_total_return > (SELECT Avg(ctr_total_return) * 1.2 + FROM customer_total_return ctr2 + WHERE ctr1.ctr_store_sk = ctr2.ctr_store_sk) + AND s_store_sk = ctr1.ctr_store_sk + AND s_state = 'TN' + AND ctr1.ctr_customer_sk = c_customer_sk +ORDER BY c_customer_id +LIMIT 100; +WITH "customer_total_return" AS ( + SELECT + "store_returns"."sr_customer_sk" AS "ctr_customer_sk", + "store_returns"."sr_store_sk" AS "ctr_store_sk", + SUM("store_returns"."sr_return_amt") AS "ctr_total_return" + FROM "store_returns" AS "store_returns" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" = 2001 + AND "store_returns"."sr_returned_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "store_returns"."sr_customer_sk", + "store_returns"."sr_store_sk" +), "_u_0" AS ( + SELECT + AVG("ctr2"."ctr_total_return") * 1.2 AS "_col_0", + "ctr2"."ctr_store_sk" AS "_u_1" + FROM "customer_total_return" AS "ctr2" + GROUP BY + "ctr2"."ctr_store_sk" +) +SELECT + "customer"."c_customer_id" AS "c_customer_id" +FROM "customer_total_return" AS "ctr1" +LEFT JOIN "_u_0" AS "_u_0" + ON "ctr1"."ctr_store_sk" = "_u_0"."_u_1" +JOIN "store" AS "store" + ON "store"."s_state" = 'TN' AND "store"."s_store_sk" = "ctr1"."ctr_store_sk" +JOIN "customer" AS "customer" + ON "ctr1"."ctr_customer_sk" = "customer"."c_customer_sk" +WHERE + "ctr1"."ctr_total_return" > "_u_0"."_col_0" +ORDER BY + "c_customer_id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 2 +-------------------------------------- +WITH wscs + AS (SELECT sold_date_sk, + sales_price + FROM (SELECT ws_sold_date_sk sold_date_sk, + ws_ext_sales_price sales_price + FROM web_sales) + UNION ALL + (SELECT cs_sold_date_sk sold_date_sk, + cs_ext_sales_price sales_price + FROM catalog_sales)), + wswscs + AS (SELECT d_week_seq, + Sum(CASE + WHEN ( d_day_name = 'Sunday' ) THEN sales_price + ELSE NULL + END) sun_sales, + Sum(CASE + WHEN ( d_day_name = 'Monday' ) THEN sales_price + ELSE NULL + END) mon_sales, + Sum(CASE + WHEN ( d_day_name = 'Tuesday' ) THEN sales_price + ELSE NULL + END) tue_sales, + Sum(CASE + WHEN ( d_day_name = 'Wednesday' ) THEN sales_price + ELSE NULL + END) wed_sales, + Sum(CASE + WHEN ( d_day_name = 'Thursday' ) THEN sales_price + ELSE NULL + END) thu_sales, + Sum(CASE + WHEN ( d_day_name = 'Friday' ) THEN sales_price + ELSE NULL + END) fri_sales, + Sum(CASE + WHEN ( d_day_name = 'Saturday' ) THEN sales_price + ELSE NULL + END) sat_sales + FROM wscs, + date_dim + WHERE d_date_sk = sold_date_sk + GROUP BY d_week_seq) +SELECT d_week_seq1, + Round(sun_sales1 / sun_sales2, 2), + Round(mon_sales1 / mon_sales2, 2), + Round(tue_sales1 / tue_sales2, 2), + Round(wed_sales1 / wed_sales2, 2), + Round(thu_sales1 / thu_sales2, 2), + Round(fri_sales1 / fri_sales2, 2), + Round(sat_sales1 / sat_sales2, 2) +FROM (SELECT wswscs.d_week_seq d_week_seq1, + sun_sales sun_sales1, + mon_sales mon_sales1, + tue_sales tue_sales1, + wed_sales wed_sales1, + thu_sales thu_sales1, + fri_sales fri_sales1, + sat_sales sat_sales1 + FROM wswscs, + date_dim + WHERE date_dim.d_week_seq = wswscs.d_week_seq + AND d_year = 1998) y, + (SELECT wswscs.d_week_seq d_week_seq2, + sun_sales sun_sales2, + mon_sales mon_sales2, + tue_sales tue_sales2, + wed_sales wed_sales2, + thu_sales thu_sales2, + fri_sales fri_sales2, + sat_sales sat_sales2 + FROM wswscs, + date_dim + WHERE date_dim.d_week_seq = wswscs.d_week_seq + AND d_year = 1998 + 1) z +WHERE d_week_seq1 = d_week_seq2 - 53 +ORDER BY d_week_seq1; +WITH "wscs" AS ( + SELECT + "web_sales"."ws_sold_date_sk" AS "sold_date_sk", + "web_sales"."ws_ext_sales_price" AS "sales_price" + FROM "web_sales" AS "web_sales" + UNION ALL + ( + SELECT + "catalog_sales"."cs_sold_date_sk" AS "sold_date_sk", + "catalog_sales"."cs_ext_sales_price" AS "sales_price" + FROM "catalog_sales" AS "catalog_sales" + ) +), "wswscs" AS ( + SELECT + "date_dim"."d_week_seq" AS "d_week_seq", + SUM( + CASE WHEN "date_dim"."d_day_name" = 'Sunday' THEN "wscs"."sales_price" ELSE NULL END + ) AS "sun_sales", + SUM( + CASE WHEN "date_dim"."d_day_name" = 'Monday' THEN "wscs"."sales_price" ELSE NULL END + ) AS "mon_sales", + SUM( + CASE + WHEN "date_dim"."d_day_name" = 'Tuesday' + THEN "wscs"."sales_price" + ELSE NULL + END + ) AS "tue_sales", + SUM( + CASE + WHEN "date_dim"."d_day_name" = 'Wednesday' + THEN "wscs"."sales_price" + ELSE NULL + END + ) AS "wed_sales", + SUM( + CASE + WHEN "date_dim"."d_day_name" = 'Thursday' + THEN "wscs"."sales_price" + ELSE NULL + END + ) AS "thu_sales", + SUM( + CASE WHEN "date_dim"."d_day_name" = 'Friday' THEN "wscs"."sales_price" ELSE NULL END + ) AS "fri_sales", + SUM( + CASE + WHEN "date_dim"."d_day_name" = 'Saturday' + THEN "wscs"."sales_price" + ELSE NULL + END + ) AS "sat_sales" + FROM "wscs" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_date_sk" = "wscs"."sold_date_sk" + GROUP BY + "date_dim"."d_week_seq" +) +SELECT + "wswscs"."d_week_seq" AS "d_week_seq1", + ROUND("wswscs"."sun_sales" / "wswscs_2"."sun_sales", 2) AS "_col_1", + ROUND("wswscs"."mon_sales" / "wswscs_2"."mon_sales", 2) AS "_col_2", + ROUND("wswscs"."tue_sales" / "wswscs_2"."tue_sales", 2) AS "_col_3", + ROUND("wswscs"."wed_sales" / "wswscs_2"."wed_sales", 2) AS "_col_4", + ROUND("wswscs"."thu_sales" / "wswscs_2"."thu_sales", 2) AS "_col_5", + ROUND("wswscs"."fri_sales" / "wswscs_2"."fri_sales", 2) AS "_col_6", + ROUND("wswscs"."sat_sales" / "wswscs_2"."sat_sales", 2) AS "_col_7" +FROM "wswscs" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_week_seq" = "wswscs"."d_week_seq" AND "date_dim"."d_year" = 1998 +JOIN "wswscs" AS "wswscs_2" + ON "wswscs"."d_week_seq" = "wswscs_2"."d_week_seq" - 53 +CROSS JOIN "date_dim" AS "date_dim_2" +WHERE + "date_dim_2"."d_week_seq" = "wswscs_2"."d_week_seq" AND "date_dim_2"."d_year" = 1999 +ORDER BY + "d_week_seq1"; + +-------------------------------------- +-- TPC-DS 3 +-------------------------------------- +SELECT dt.d_year, + item.i_brand_id brand_id, + item.i_brand brand, + Sum(ss_ext_discount_amt) sum_agg +FROM date_dim dt, + store_sales, + item +WHERE dt.d_date_sk = store_sales.ss_sold_date_sk + AND store_sales.ss_item_sk = item.i_item_sk + AND item.i_manufact_id = 427 + AND dt.d_moy = 11 +GROUP BY dt.d_year, + item.i_brand, + item.i_brand_id +ORDER BY dt.d_year, + sum_agg DESC, + brand_id +LIMIT 100; +SELECT + "date_dim"."d_year" AS "d_year", + "item"."i_brand_id" AS "brand_id", + "item"."i_brand" AS "brand", + SUM("store_sales"."ss_ext_discount_amt") AS "sum_agg" +FROM "date_dim" AS "date_dim" +JOIN "store_sales" AS "store_sales" + ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk" +JOIN "item" AS "item" + ON "item"."i_manufact_id" = 427 AND "store_sales"."ss_item_sk" = "item"."i_item_sk" +WHERE + "date_dim"."d_moy" = 11 +GROUP BY + "date_dim"."d_year", + "item"."i_brand", + "item"."i_brand_id" +ORDER BY + "date_dim"."d_year", + "sum_agg" DESC, + "brand_id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 4 +-------------------------------------- +WITH year_total + AS (SELECT c_customer_id customer_id, + c_first_name customer_first_name, + c_last_name customer_last_name, + c_preferred_cust_flag customer_preferred_cust_flag + , + c_birth_country + customer_birth_country, + c_login customer_login, + c_email_address customer_email_address, + d_year dyear, + Sum(( ( ss_ext_list_price - ss_ext_wholesale_cost + - ss_ext_discount_amt + ) + + + ss_ext_sales_price ) / 2) year_total, + 's' sale_type + FROM customer, + store_sales, + date_dim + WHERE c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + GROUP BY c_customer_id, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_country, + c_login, + c_email_address, + d_year + UNION ALL + SELECT c_customer_id customer_id, + c_first_name customer_first_name, + c_last_name customer_last_name, + c_preferred_cust_flag + customer_preferred_cust_flag, + c_birth_country customer_birth_country + , + c_login + customer_login, + c_email_address customer_email_address + , + d_year dyear + , + Sum(( ( ( cs_ext_list_price + - cs_ext_wholesale_cost + - cs_ext_discount_amt + ) + + cs_ext_sales_price ) / 2 )) year_total, + 'c' sale_type + FROM customer, + catalog_sales, + date_dim + WHERE c_customer_sk = cs_bill_customer_sk + AND cs_sold_date_sk = d_date_sk + GROUP BY c_customer_id, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_country, + c_login, + c_email_address, + d_year + UNION ALL + SELECT c_customer_id customer_id, + c_first_name customer_first_name, + c_last_name customer_last_name, + c_preferred_cust_flag + customer_preferred_cust_flag, + c_birth_country customer_birth_country + , + c_login + customer_login, + c_email_address customer_email_address + , + d_year dyear + , + Sum(( ( ( ws_ext_list_price + - ws_ext_wholesale_cost + - ws_ext_discount_amt + ) + + ws_ext_sales_price ) / 2 )) year_total, + 'w' sale_type + FROM customer, + web_sales, + date_dim + WHERE c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + GROUP BY c_customer_id, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_country, + c_login, + c_email_address, + d_year) +SELECT t_s_secyear.customer_id, + t_s_secyear.customer_first_name, + t_s_secyear.customer_last_name, + t_s_secyear.customer_preferred_cust_flag +FROM year_total t_s_firstyear, + year_total t_s_secyear, + year_total t_c_firstyear, + year_total t_c_secyear, + year_total t_w_firstyear, + year_total t_w_secyear +WHERE t_s_secyear.customer_id = t_s_firstyear.customer_id + AND t_s_firstyear.customer_id = t_c_secyear.customer_id + AND t_s_firstyear.customer_id = t_c_firstyear.customer_id + AND t_s_firstyear.customer_id = t_w_firstyear.customer_id + AND t_s_firstyear.customer_id = t_w_secyear.customer_id + AND t_s_firstyear.sale_type = 's' + AND t_c_firstyear.sale_type = 'c' + AND t_w_firstyear.sale_type = 'w' + AND t_s_secyear.sale_type = 's' + AND t_c_secyear.sale_type = 'c' + AND t_w_secyear.sale_type = 'w' + AND t_s_firstyear.dyear = 2001 + AND t_s_secyear.dyear = 2001 + 1 + AND t_c_firstyear.dyear = 2001 + AND t_c_secyear.dyear = 2001 + 1 + AND t_w_firstyear.dyear = 2001 + AND t_w_secyear.dyear = 2001 + 1 + AND t_s_firstyear.year_total > 0 + AND t_c_firstyear.year_total > 0 + AND t_w_firstyear.year_total > 0 + AND CASE + WHEN t_c_firstyear.year_total > 0 THEN t_c_secyear.year_total / + t_c_firstyear.year_total + ELSE NULL + END > CASE + WHEN t_s_firstyear.year_total > 0 THEN + t_s_secyear.year_total / + t_s_firstyear.year_total + ELSE NULL + END + AND CASE + WHEN t_c_firstyear.year_total > 0 THEN t_c_secyear.year_total / + t_c_firstyear.year_total + ELSE NULL + END > CASE + WHEN t_w_firstyear.year_total > 0 THEN + t_w_secyear.year_total / + t_w_firstyear.year_total + ELSE NULL + END +ORDER BY t_s_secyear.customer_id, + t_s_secyear.customer_first_name, + t_s_secyear.customer_last_name, + t_s_secyear.customer_preferred_cust_flag +LIMIT 100; +WITH "customer_2" AS ( + SELECT + "customer"."c_customer_sk" AS "c_customer_sk", + "customer"."c_customer_id" AS "c_customer_id", + "customer"."c_first_name" AS "c_first_name", + "customer"."c_last_name" AS "c_last_name", + "customer"."c_preferred_cust_flag" AS "c_preferred_cust_flag", + "customer"."c_birth_country" AS "c_birth_country", + "customer"."c_login" AS "c_login", + "customer"."c_email_address" AS "c_email_address" + FROM "customer" AS "customer" +), "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year" + FROM "date_dim" AS "date_dim" +), "cte" AS ( + SELECT + "customer"."c_customer_id" AS "customer_id", + "customer"."c_first_name" AS "customer_first_name", + "customer"."c_last_name" AS "customer_last_name", + "customer"."c_preferred_cust_flag" AS "customer_preferred_cust_flag", + "date_dim"."d_year" AS "dyear", + SUM( + ( + ( + "store_sales"."ss_ext_list_price" - "store_sales"."ss_ext_wholesale_cost" - "store_sales"."ss_ext_discount_amt" + ) + "store_sales"."ss_ext_sales_price" + ) / 2 + ) AS "year_total", + 's' AS "sale_type" + FROM "customer_2" AS "customer" + JOIN "store_sales" AS "store_sales" + ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "customer"."c_customer_id", + "customer"."c_first_name", + "customer"."c_last_name", + "customer"."c_preferred_cust_flag", + "customer"."c_birth_country", + "customer"."c_login", + "customer"."c_email_address", + "date_dim"."d_year" +), "cte_2" AS ( + SELECT + "customer"."c_customer_id" AS "customer_id", + "customer"."c_first_name" AS "customer_first_name", + "customer"."c_last_name" AS "customer_last_name", + "customer"."c_preferred_cust_flag" AS "customer_preferred_cust_flag", + "date_dim"."d_year" AS "dyear", + SUM( + ( + ( + ( + "catalog_sales"."cs_ext_list_price" - "catalog_sales"."cs_ext_wholesale_cost" - "catalog_sales"."cs_ext_discount_amt" + ) + "catalog_sales"."cs_ext_sales_price" + ) / 2 + ) + ) AS "year_total", + 'c' AS "sale_type" + FROM "customer_2" AS "customer" + JOIN "catalog_sales" AS "catalog_sales" + ON "customer"."c_customer_sk" = "catalog_sales"."cs_bill_customer_sk" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "customer"."c_customer_id", + "customer"."c_first_name", + "customer"."c_last_name", + "customer"."c_preferred_cust_flag", + "customer"."c_birth_country", + "customer"."c_login", + "customer"."c_email_address", + "date_dim"."d_year" +), "cte_3" AS ( + SELECT + "customer"."c_customer_id" AS "customer_id", + "customer"."c_first_name" AS "customer_first_name", + "customer"."c_last_name" AS "customer_last_name", + "customer"."c_preferred_cust_flag" AS "customer_preferred_cust_flag", + "date_dim"."d_year" AS "dyear", + SUM( + ( + ( + ( + "web_sales"."ws_ext_list_price" - "web_sales"."ws_ext_wholesale_cost" - "web_sales"."ws_ext_discount_amt" + ) + "web_sales"."ws_ext_sales_price" + ) / 2 + ) + ) AS "year_total", + 'w' AS "sale_type" + FROM "customer_2" AS "customer" + JOIN "web_sales" AS "web_sales" + ON "customer"."c_customer_sk" = "web_sales"."ws_bill_customer_sk" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "customer"."c_customer_id", + "customer"."c_first_name", + "customer"."c_last_name", + "customer"."c_preferred_cust_flag", + "customer"."c_birth_country", + "customer"."c_login", + "customer"."c_email_address", + "date_dim"."d_year" +), "cte_4" AS ( + SELECT + "cte_2"."customer_id" AS "customer_id", + "cte_2"."customer_first_name" AS "customer_first_name", + "cte_2"."customer_last_name" AS "customer_last_name", + "cte_2"."customer_preferred_cust_flag" AS "customer_preferred_cust_flag", + "cte_2"."dyear" AS "dyear", + "cte_2"."year_total" AS "year_total", + "cte_2"."sale_type" AS "sale_type" + FROM "cte_2" AS "cte_2" + UNION ALL + SELECT + "cte_3"."customer_id" AS "customer_id", + "cte_3"."customer_first_name" AS "customer_first_name", + "cte_3"."customer_last_name" AS "customer_last_name", + "cte_3"."customer_preferred_cust_flag" AS "customer_preferred_cust_flag", + "cte_3"."dyear" AS "dyear", + "cte_3"."year_total" AS "year_total", + "cte_3"."sale_type" AS "sale_type" + FROM "cte_3" AS "cte_3" +), "year_total" AS ( + SELECT + "cte"."customer_id" AS "customer_id", + "cte"."customer_first_name" AS "customer_first_name", + "cte"."customer_last_name" AS "customer_last_name", + "cte"."customer_preferred_cust_flag" AS "customer_preferred_cust_flag", + "cte"."dyear" AS "dyear", + "cte"."year_total" AS "year_total", + "cte"."sale_type" AS "sale_type" + FROM "cte" AS "cte" + UNION ALL + SELECT + "cte_4"."customer_id" AS "customer_id", + "cte_4"."customer_first_name" AS "customer_first_name", + "cte_4"."customer_last_name" AS "customer_last_name", + "cte_4"."customer_preferred_cust_flag" AS "customer_preferred_cust_flag", + "cte_4"."dyear" AS "dyear", + "cte_4"."year_total" AS "year_total", + "cte_4"."sale_type" AS "sale_type" + FROM "cte_4" AS "cte_4" +) +SELECT + "t_s_secyear"."customer_id" AS "customer_id", + "t_s_secyear"."customer_first_name" AS "customer_first_name", + "t_s_secyear"."customer_last_name" AS "customer_last_name", + "t_s_secyear"."customer_preferred_cust_flag" AS "customer_preferred_cust_flag" +FROM "year_total" AS "t_s_firstyear" +JOIN "year_total" AS "t_s_secyear" + ON "t_s_secyear"."customer_id" = "t_s_firstyear"."customer_id" + AND "t_s_secyear"."dyear" = 2002 + AND "t_s_secyear"."sale_type" = 's' +JOIN "year_total" AS "t_c_secyear" + ON "t_c_secyear"."dyear" = 2002 + AND "t_c_secyear"."sale_type" = 'c' + AND "t_s_firstyear"."customer_id" = "t_c_secyear"."customer_id" +JOIN "year_total" AS "t_w_firstyear" + ON "t_s_firstyear"."customer_id" = "t_w_firstyear"."customer_id" + AND "t_w_firstyear"."dyear" = 2001 + AND "t_w_firstyear"."sale_type" = 'w' + AND "t_w_firstyear"."year_total" > 0 +JOIN "year_total" AS "t_w_secyear" + ON "t_s_firstyear"."customer_id" = "t_w_secyear"."customer_id" + AND "t_w_secyear"."dyear" = 2002 + AND "t_w_secyear"."sale_type" = 'w' +JOIN "year_total" AS "t_c_firstyear" + ON "t_c_firstyear"."dyear" = 2001 + AND "t_c_firstyear"."sale_type" = 'c' + AND "t_c_firstyear"."year_total" > 0 + AND "t_s_firstyear"."customer_id" = "t_c_firstyear"."customer_id" + AND CASE + WHEN "t_c_firstyear"."year_total" > 0 + THEN "t_c_secyear"."year_total" / "t_c_firstyear"."year_total" + ELSE NULL + END > CASE + WHEN "t_s_firstyear"."year_total" > 0 + THEN "t_s_secyear"."year_total" / "t_s_firstyear"."year_total" + ELSE NULL + END + AND CASE + WHEN "t_c_firstyear"."year_total" > 0 + THEN "t_c_secyear"."year_total" / "t_c_firstyear"."year_total" + ELSE NULL + END > CASE + WHEN "t_w_firstyear"."year_total" > 0 + THEN "t_w_secyear"."year_total" / "t_w_firstyear"."year_total" + ELSE NULL + END +WHERE + "t_s_firstyear"."dyear" = 2001 + AND "t_s_firstyear"."sale_type" = 's' + AND "t_s_firstyear"."year_total" > 0 +ORDER BY + "t_s_secyear"."customer_id", + "t_s_secyear"."customer_first_name", + "t_s_secyear"."customer_last_name", + "t_s_secyear"."customer_preferred_cust_flag" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 5 +-------------------------------------- +WITH ssr AS +( + SELECT s_store_id, + Sum(sales_price) AS sales, + Sum(profit) AS profit, + Sum(return_amt) AS returns1, + Sum(net_loss) AS profit_loss + FROM ( + SELECT ss_store_sk AS store_sk, + ss_sold_date_sk AS date_sk, + ss_ext_sales_price AS sales_price, + ss_net_profit AS profit, + Cast(0 AS DECIMAL(7,2)) AS return_amt, + Cast(0 AS DECIMAL(7,2)) AS net_loss + FROM store_sales + UNION ALL + SELECT sr_store_sk AS store_sk, + sr_returned_date_sk AS date_sk, + Cast(0 AS DECIMAL(7,2)) AS sales_price, + Cast(0 AS DECIMAL(7,2)) AS profit, + sr_return_amt AS return_amt, + sr_net_loss AS net_loss + FROM store_returns ) salesreturns, + date_dim, + store + WHERE date_sk = d_date_sk + AND d_date BETWEEN Cast('2002-08-22' AS DATE) AND ( + Cast('2002-08-22' AS DATE) + INTERVAL '14' day) + AND store_sk = s_store_sk + GROUP BY s_store_id) , csr AS +( + SELECT cp_catalog_page_id, + sum(sales_price) AS sales, + sum(profit) AS profit, + sum(return_amt) AS returns1, + sum(net_loss) AS profit_loss + FROM ( + SELECT cs_catalog_page_sk AS page_sk, + cs_sold_date_sk AS date_sk, + cs_ext_sales_price AS sales_price, + cs_net_profit AS profit, + cast(0 AS decimal(7,2)) AS return_amt, + cast(0 AS decimal(7,2)) AS net_loss + FROM catalog_sales + UNION ALL + SELECT cr_catalog_page_sk AS page_sk, + cr_returned_date_sk AS date_sk, + cast(0 AS decimal(7,2)) AS sales_price, + cast(0 AS decimal(7,2)) AS profit, + cr_return_amount AS return_amt, + cr_net_loss AS net_loss + FROM catalog_returns ) salesreturns, + date_dim, + catalog_page + WHERE date_sk = d_date_sk + AND d_date BETWEEN cast('2002-08-22' AS date) AND ( + cast('2002-08-22' AS date) + INTERVAL '14' day) + AND page_sk = cp_catalog_page_sk + GROUP BY cp_catalog_page_id) , wsr AS +( + SELECT web_site_id, + sum(sales_price) AS sales, + sum(profit) AS profit, + sum(return_amt) AS returns1, + sum(net_loss) AS profit_loss + FROM ( + SELECT ws_web_site_sk AS wsr_web_site_sk, + ws_sold_date_sk AS date_sk, + ws_ext_sales_price AS sales_price, + ws_net_profit AS profit, + cast(0 AS decimal(7,2)) AS return_amt, + cast(0 AS decimal(7,2)) AS net_loss + FROM web_sales + UNION ALL + SELECT ws_web_site_sk AS wsr_web_site_sk, + wr_returned_date_sk AS date_sk, + cast(0 AS decimal(7,2)) AS sales_price, + cast(0 AS decimal(7,2)) AS profit, + wr_return_amt AS return_amt, + wr_net_loss AS net_loss + FROM web_returns + LEFT OUTER JOIN web_sales + ON ( + wr_item_sk = ws_item_sk + AND wr_order_number = ws_order_number) ) salesreturns, + date_dim, + web_site + WHERE date_sk = d_date_sk + AND d_date BETWEEN cast('2002-08-22' AS date) AND ( + cast('2002-08-22' AS date) + INTERVAL '14' day) + AND wsr_web_site_sk = web_site_sk + GROUP BY web_site_id) +SELECT + channel , + id , + sum(sales) AS sales , + sum(returns1) AS returns1 , + sum(profit) AS profit +FROM ( + SELECT 'store channel' AS channel , + 'store' + || s_store_id AS id , + sales , + returns1 , + (profit - profit_loss) AS profit + FROM ssr + UNION ALL + SELECT 'catalog channel' AS channel , + 'catalog_page' + || cp_catalog_page_id AS id , + sales , + returns1 , + (profit - profit_loss) AS profit + FROM csr + UNION ALL + SELECT 'web channel' AS channel , + 'web_site' + || web_site_id AS id , + sales , + returns1 , + (profit - profit_loss) AS profit + FROM wsr ) x +GROUP BY rollup (channel, id) +ORDER BY channel , + id +LIMIT 100; +WITH "salesreturns" AS ( + SELECT + "store_sales"."ss_store_sk" AS "store_sk", + "store_sales"."ss_sold_date_sk" AS "date_sk", + "store_sales"."ss_ext_sales_price" AS "sales_price", + "store_sales"."ss_net_profit" AS "profit", + CAST(0 AS DECIMAL(7, 2)) AS "return_amt", + CAST(0 AS DECIMAL(7, 2)) AS "net_loss" + FROM "store_sales" AS "store_sales" + UNION ALL + SELECT + "store_returns"."sr_store_sk" AS "store_sk", + "store_returns"."sr_returned_date_sk" AS "date_sk", + CAST(0 AS DECIMAL(7, 2)) AS "sales_price", + CAST(0 AS DECIMAL(7, 2)) AS "profit", + "store_returns"."sr_return_amt" AS "return_amt", + "store_returns"."sr_net_loss" AS "net_loss" + FROM "store_returns" AS "store_returns" +), "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_date" AS "d_date" + FROM "date_dim" AS "date_dim" + WHERE + CAST("date_dim"."d_date" AS DATE) <= CAST('2002-09-05' AS DATE) + AND CAST("date_dim"."d_date" AS DATE) >= CAST('2002-08-22' AS DATE) +), "ssr" AS ( + SELECT + "store"."s_store_id" AS "s_store_id", + SUM("salesreturns"."sales_price") AS "sales", + SUM("salesreturns"."profit") AS "profit", + SUM("salesreturns"."return_amt") AS "returns1", + SUM("salesreturns"."net_loss") AS "profit_loss" + FROM "salesreturns" AS "salesreturns" + JOIN "date_dim_2" AS "date_dim" + ON "salesreturns"."date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "salesreturns"."store_sk" = "store"."s_store_sk" + GROUP BY + "store"."s_store_id" +), "salesreturns_2" AS ( + SELECT + "catalog_sales"."cs_catalog_page_sk" AS "page_sk", + "catalog_sales"."cs_sold_date_sk" AS "date_sk", + "catalog_sales"."cs_ext_sales_price" AS "sales_price", + "catalog_sales"."cs_net_profit" AS "profit", + CAST(0 AS DECIMAL(7, 2)) AS "return_amt", + CAST(0 AS DECIMAL(7, 2)) AS "net_loss" + FROM "catalog_sales" AS "catalog_sales" + UNION ALL + SELECT + "catalog_returns"."cr_catalog_page_sk" AS "page_sk", + "catalog_returns"."cr_returned_date_sk" AS "date_sk", + CAST(0 AS DECIMAL(7, 2)) AS "sales_price", + CAST(0 AS DECIMAL(7, 2)) AS "profit", + "catalog_returns"."cr_return_amount" AS "return_amt", + "catalog_returns"."cr_net_loss" AS "net_loss" + FROM "catalog_returns" AS "catalog_returns" +), "csr" AS ( + SELECT + "catalog_page"."cp_catalog_page_id" AS "cp_catalog_page_id", + SUM("salesreturns"."sales_price") AS "sales", + SUM("salesreturns"."profit") AS "profit", + SUM("salesreturns"."return_amt") AS "returns1", + SUM("salesreturns"."net_loss") AS "profit_loss" + FROM "salesreturns_2" AS "salesreturns" + JOIN "date_dim_2" AS "date_dim" + ON "salesreturns"."date_sk" = "date_dim"."d_date_sk" + JOIN "catalog_page" AS "catalog_page" + ON "salesreturns"."page_sk" = "catalog_page"."cp_catalog_page_sk" + GROUP BY + "catalog_page"."cp_catalog_page_id" +), "salesreturns_3" AS ( + SELECT + "web_sales"."ws_web_site_sk" AS "wsr_web_site_sk", + "web_sales"."ws_sold_date_sk" AS "date_sk", + "web_sales"."ws_ext_sales_price" AS "sales_price", + "web_sales"."ws_net_profit" AS "profit", + CAST(0 AS DECIMAL(7, 2)) AS "return_amt", + CAST(0 AS DECIMAL(7, 2)) AS "net_loss" + FROM "web_sales" AS "web_sales" + UNION ALL + SELECT + "web_sales"."ws_web_site_sk" AS "wsr_web_site_sk", + "web_returns"."wr_returned_date_sk" AS "date_sk", + CAST(0 AS DECIMAL(7, 2)) AS "sales_price", + CAST(0 AS DECIMAL(7, 2)) AS "profit", + "web_returns"."wr_return_amt" AS "return_amt", + "web_returns"."wr_net_loss" AS "net_loss" + FROM "web_returns" AS "web_returns" + LEFT JOIN "web_sales" AS "web_sales" + ON "web_returns"."wr_item_sk" = "web_sales"."ws_item_sk" + AND "web_returns"."wr_order_number" = "web_sales"."ws_order_number" +), "wsr" AS ( + SELECT + "web_site"."web_site_id" AS "web_site_id", + SUM("salesreturns"."sales_price") AS "sales", + SUM("salesreturns"."profit") AS "profit", + SUM("salesreturns"."return_amt") AS "returns1", + SUM("salesreturns"."net_loss") AS "profit_loss" + FROM "salesreturns_3" AS "salesreturns" + JOIN "date_dim_2" AS "date_dim" + ON "salesreturns"."date_sk" = "date_dim"."d_date_sk" + JOIN "web_site" AS "web_site" + ON "salesreturns"."wsr_web_site_sk" = "web_site"."web_site_sk" + GROUP BY + "web_site"."web_site_id" +), "cte_10" AS ( + SELECT + 'catalog channel' AS "channel", + 'catalog_page' || "csr"."cp_catalog_page_id" AS "id", + "csr"."sales" AS "sales", + "csr"."returns1" AS "returns1", + "csr"."profit" - "csr"."profit_loss" AS "profit" + FROM "csr" + UNION ALL + SELECT + 'web channel' AS "channel", + 'web_site' || "wsr"."web_site_id" AS "id", + "wsr"."sales" AS "sales", + "wsr"."returns1" AS "returns1", + "wsr"."profit" - "wsr"."profit_loss" AS "profit" + FROM "wsr" +), "x" AS ( + SELECT + 'store channel' AS "channel", + 'store' || "ssr"."s_store_id" AS "id", + "ssr"."sales" AS "sales", + "ssr"."returns1" AS "returns1", + "ssr"."profit" - "ssr"."profit_loss" AS "profit" + FROM "ssr" + UNION ALL + SELECT + "cte_10"."channel" AS "channel", + "cte_10"."id" AS "id", + "cte_10"."sales" AS "sales", + "cte_10"."returns1" AS "returns1", + "cte_10"."profit" AS "profit" + FROM "cte_10" AS "cte_10" +) +SELECT + "x"."channel" AS "channel", + "x"."id" AS "id", + SUM("x"."sales") AS "sales", + SUM("x"."returns1") AS "returns1", + SUM("x"."profit") AS "profit" +FROM "x" AS "x" +GROUP BY +ROLLUP ( + "x"."channel", + "x"."id" +) +ORDER BY + "channel", + "id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 6 +-------------------------------------- +SELECT a.ca_state state, + Count(*) cnt +FROM customer_address a, + customer c, + store_sales s, + date_dim d, + item i +WHERE a.ca_address_sk = c.c_current_addr_sk + AND c.c_customer_sk = s.ss_customer_sk + AND s.ss_sold_date_sk = d.d_date_sk + AND s.ss_item_sk = i.i_item_sk + AND d.d_month_seq = (SELECT DISTINCT ( d_month_seq ) + FROM date_dim + WHERE d_year = 1998 + AND d_moy = 7) + AND i.i_current_price > 1.2 * (SELECT Avg(j.i_current_price) + FROM item j + WHERE j.i_category = i.i_category) +GROUP BY a.ca_state +HAVING Count(*) >= 10 +ORDER BY cnt +LIMIT 100; +WITH "_u_0" AS ( + SELECT DISTINCT + "date_dim"."d_month_seq" AS "_col_0" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_moy" = 7 AND "date_dim"."d_year" = 1998 +), "_u_1" AS ( + SELECT + AVG("j"."i_current_price") AS "_col_0", + "j"."i_category" AS "_u_2" + FROM "item" AS "j" + GROUP BY + "j"."i_category" +) +SELECT + "customer_address"."ca_state" AS "state", + COUNT(*) AS "cnt" +FROM "customer_address" AS "customer_address" +CROSS JOIN "_u_0" AS "_u_0" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_month_seq" = "_u_0"."_col_0" +JOIN "store_sales" AS "store_sales" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" +JOIN "item" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" +LEFT JOIN "_u_1" AS "_u_1" + ON "_u_1"."_u_2" = "item"."i_category" +JOIN "customer" AS "customer" + ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk" + AND "customer_address"."ca_address_sk" = "customer"."c_current_addr_sk" +WHERE + "item"."i_current_price" > 1.2 * "_u_1"."_col_0" +GROUP BY + "customer_address"."ca_state" +HAVING + COUNT(*) >= 10 +ORDER BY + "cnt" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 7 +-------------------------------------- +SELECT i_item_id, + Avg(ss_quantity) agg1, + Avg(ss_list_price) agg2, + Avg(ss_coupon_amt) agg3, + Avg(ss_sales_price) agg4 +FROM store_sales, + customer_demographics, + date_dim, + item, + promotion +WHERE ss_sold_date_sk = d_date_sk + AND ss_item_sk = i_item_sk + AND ss_cdemo_sk = cd_demo_sk + AND ss_promo_sk = p_promo_sk + AND cd_gender = 'F' + AND cd_marital_status = 'W' + AND cd_education_status = '2 yr Degree' + AND ( p_channel_email = 'N' + OR p_channel_event = 'N' ) + AND d_year = 1998 +GROUP BY i_item_id +ORDER BY i_item_id +LIMIT 100; +SELECT + "item"."i_item_id" AS "i_item_id", + AVG("store_sales"."ss_quantity") AS "agg1", + AVG("store_sales"."ss_list_price") AS "agg2", + AVG("store_sales"."ss_coupon_amt") AS "agg3", + AVG("store_sales"."ss_sales_price") AS "agg4" +FROM "store_sales" AS "store_sales" +JOIN "customer_demographics" AS "customer_demographics" + ON "customer_demographics"."cd_education_status" = '2 yr Degree' + AND "customer_demographics"."cd_gender" = 'F' + AND "customer_demographics"."cd_marital_status" = 'W' + AND "store_sales"."ss_cdemo_sk" = "customer_demographics"."cd_demo_sk" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" = 1998 + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" +JOIN "item" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" +JOIN "promotion" AS "promotion" + ON ( + "promotion"."p_channel_email" = 'N' OR "promotion"."p_channel_event" = 'N' + ) + AND "store_sales"."ss_promo_sk" = "promotion"."p_promo_sk" +GROUP BY + "item"."i_item_id" +ORDER BY + "i_item_id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 8 +-------------------------------------- +SELECT s_store_name, + Sum(ss_net_profit) +FROM store_sales, + date_dim, + store, + (SELECT ca_zip + FROM (SELECT Substr(ca_zip, 1, 5) ca_zip + FROM customer_address + WHERE Substr(ca_zip, 1, 5) IN ( '67436', '26121', '38443', + '63157', + '68856', '19485', '86425', + '26741', + '70991', '60899', '63573', + '47556', + '56193', '93314', '87827', + '62017', + '85067', '95390', '48091', + '10261', + '81845', '41790', '42853', + '24675', + '12840', '60065', '84430', + '57451', + '24021', '91735', '75335', + '71935', + '34482', '56943', '70695', + '52147', + '56251', '28411', '86653', + '23005', + '22478', '29031', '34398', + '15365', + '42460', '33337', '59433', + '73943', + '72477', '74081', '74430', + '64605', + '39006', '11226', '49057', + '97308', + '42663', '18187', '19768', + '43454', + '32147', '76637', '51975', + '11181', + '45630', '33129', '45995', + '64386', + '55522', '26697', '20963', + '35154', + '64587', '49752', '66386', + '30586', + '59286', '13177', '66646', + '84195', + '74316', '36853', '32927', + '12469', + '11904', '36269', '17724', + '55346', + '12595', '53988', '65439', + '28015', + '63268', '73590', '29216', + '82575', + '69267', '13805', '91678', + '79460', + '94152', '14961', '15419', + '48277', + '62588', '55493', '28360', + '14152', + '55225', '18007', '53705', + '56573', + '80245', '71769', '57348', + '36845', + '13039', '17270', '22363', + '83474', + '25294', '43269', '77666', + '15488', + '99146', '64441', '43338', + '38736', + '62754', '48556', '86057', + '23090', + '38114', '66061', '18910', + '84385', + '23600', '19975', '27883', + '65719', + '19933', '32085', '49731', + '40473', + '27190', '46192', '23949', + '44738', + '12436', '64794', '68741', + '15333', + '24282', '49085', '31844', + '71156', + '48441', '17100', '98207', + '44982', + '20277', '71496', '96299', + '37583', + '22206', '89174', '30589', + '61924', + '53079', '10976', '13104', + '42794', + '54772', '15809', '56434', + '39975', + '13874', '30753', '77598', + '78229', + '59478', '12345', '55547', + '57422', + '42600', '79444', '29074', + '29752', + '21676', '32096', '43044', + '39383', + '37296', '36295', '63077', + '16572', + '31275', '18701', '40197', + '48242', + '27219', '49865', '84175', + '30446', + '25165', '13807', '72142', + '70499', + '70464', '71429', '18111', + '70857', + '29545', '36425', '52706', + '36194', + '42963', '75068', '47921', + '74763', + '90990', '89456', '62073', + '88397', + '73963', '75885', '62657', + '12530', + '81146', '57434', '25099', + '41429', + '98441', '48713', '52552', + '31667', + '14072', '13903', '44709', + '85429', + '58017', '38295', '44875', + '73541', + '30091', '12707', '23762', + '62258', + '33247', '78722', '77431', + '14510', + '35656', '72428', '92082', + '35267', + '43759', '24354', '90952', + '11512', + '21242', '22579', '56114', + '32339', + '52282', '41791', '24484', + '95020', + '28408', '99710', '11899', + '43344', + '72915', '27644', '62708', + '74479', + '17177', '32619', '12351', + '91339', + '31169', '57081', '53522', + '16712', + '34419', '71779', '44187', + '46206', + '96099', '61910', '53664', + '12295', + '31837', '33096', '10813', + '63048', + '31732', '79118', '73084', + '72783', + '84952', '46965', '77956', + '39815', + '32311', '75329', '48156', + '30826', + '49661', '13736', '92076', + '74865', + '88149', '92397', '52777', + '68453', + '32012', '21222', '52721', + '24626', + '18210', '42177', '91791', + '75251', + '82075', '44372', '45542', + '20609', + '60115', '17362', '22750', + '90434', + '31852', '54071', '33762', + '14705', + '40718', '56433', '30996', + '40657', + '49056', '23585', '66455', + '41021', + '74736', '72151', '37007', + '21729', + '60177', '84558', '59027', + '93855', + '60022', '86443', '19541', + '86886', + '30532', '39062', '48532', + '34713', + '52077', '22564', '64638', + '15273', + '31677', '36138', '62367', + '60261', + '80213', '42818', '25113', + '72378', + '69802', '69096', '55443', + '28820', + '13848', '78258', '37490', + '30556', + '77380', '28447', '44550', + '26791', + '70609', '82182', '33306', + '43224', + '22322', '86959', '68519', + '14308', + '46501', '81131', '34056', + '61991', + '19896', '87804', '65774', + '92564' ) + INTERSECT + SELECT ca_zip + FROM (SELECT Substr(ca_zip, 1, 5) ca_zip, + Count(*) cnt + FROM customer_address, + customer + WHERE ca_address_sk = c_current_addr_sk + AND c_preferred_cust_flag = 'Y' + GROUP BY ca_zip + HAVING Count(*) > 10)A1)A2) V1 +WHERE ss_store_sk = s_store_sk + AND ss_sold_date_sk = d_date_sk + AND d_qoy = 2 + AND d_year = 2000 + AND ( Substr(s_zip, 1, 2) = Substr(V1.ca_zip, 1, 2) ) +GROUP BY s_store_name +ORDER BY s_store_name +LIMIT 100; +WITH "a1" AS ( + SELECT + SUBSTR("customer_address"."ca_zip", 1, 5) AS "ca_zip" + FROM "customer_address" AS "customer_address", "customer" AS "customer" + WHERE + "customer"."c_preferred_cust_flag" = 'Y' + AND "customer_address"."ca_address_sk" = "customer"."c_current_addr_sk" + GROUP BY + "customer_address"."ca_zip" + HAVING + COUNT(*) > 10 +), "a2" AS ( + SELECT + SUBSTR("customer_address"."ca_zip", 1, 5) AS "ca_zip" + FROM "customer_address" AS "customer_address" + WHERE + SUBSTR("customer_address"."ca_zip", 1, 5) IN ('67436', '26121', '38443', '63157', '68856', '19485', '86425', '26741', '70991', '60899', '63573', '47556', '56193', '93314', '87827', '62017', '85067', '95390', '48091', '10261', '81845', '41790', '42853', '24675', '12840', '60065', '84430', '57451', '24021', '91735', '75335', '71935', '34482', '56943', '70695', '52147', '56251', '28411', '86653', '23005', '22478', '29031', '34398', '15365', '42460', '33337', '59433', '73943', '72477', '74081', '74430', '64605', '39006', '11226', '49057', '97308', '42663', '18187', '19768', '43454', '32147', '76637', '51975', '11181', '45630', '33129', '45995', '64386', '55522', '26697', '20963', '35154', '64587', '49752', '66386', '30586', '59286', '13177', '66646', '84195', '74316', '36853', '32927', '12469', '11904', '36269', '17724', '55346', '12595', '53988', '65439', '28015', '63268', '73590', '29216', '82575', '69267', '13805', '91678', '79460', '94152', '14961', '15419', '48277', '62588', '55493', '28360', '14152', '55225', '18007', '53705', '56573', '80245', '71769', '57348', '36845', '13039', '17270', '22363', '83474', '25294', '43269', '77666', '15488', '99146', '64441', '43338', '38736', '62754', '48556', '86057', '23090', '38114', '66061', '18910', '84385', '23600', '19975', '27883', '65719', '19933', '32085', '49731', '40473', '27190', '46192', '23949', '44738', '12436', '64794', '68741', '15333', '24282', '49085', '31844', '71156', '48441', '17100', '98207', '44982', '20277', '71496', '96299', '37583', '22206', '89174', '30589', '61924', '53079', '10976', '13104', '42794', '54772', '15809', '56434', '39975', '13874', '30753', '77598', '78229', '59478', '12345', '55547', '57422', '42600', '79444', '29074', '29752', '21676', '32096', '43044', '39383', '37296', '36295', '63077', '16572', '31275', '18701', '40197', '48242', '27219', '49865', '84175', '30446', '25165', '13807', '72142', '70499', '70464', '71429', '18111', '70857', '29545', '36425', '52706', '36194', '42963', '75068', '47921', '74763', '90990', '89456', '62073', '88397', '73963', '75885', '62657', '12530', '81146', '57434', '25099', '41429', '98441', '48713', '52552', '31667', '14072', '13903', '44709', '85429', '58017', '38295', '44875', '73541', '30091', '12707', '23762', '62258', '33247', '78722', '77431', '14510', '35656', '72428', '92082', '35267', '43759', '24354', '90952', '11512', '21242', '22579', '56114', '32339', '52282', '41791', '24484', '95020', '28408', '99710', '11899', '43344', '72915', '27644', '62708', '74479', '17177', '32619', '12351', '91339', '31169', '57081', '53522', '16712', '34419', '71779', '44187', '46206', '96099', '61910', '53664', '12295', '31837', '33096', '10813', '63048', '31732', '79118', '73084', '72783', '84952', '46965', '77956', '39815', '32311', '75329', '48156', '30826', '49661', '13736', '92076', '74865', '88149', '92397', '52777', '68453', '32012', '21222', '52721', '24626', '18210', '42177', '91791', '75251', '82075', '44372', '45542', '20609', '60115', '17362', '22750', '90434', '31852', '54071', '33762', '14705', '40718', '56433', '30996', '40657', '49056', '23585', '66455', '41021', '74736', '72151', '37007', '21729', '60177', '84558', '59027', '93855', '60022', '86443', '19541', '86886', '30532', '39062', '48532', '34713', '52077', '22564', '64638', '15273', '31677', '36138', '62367', '60261', '80213', '42818', '25113', '72378', '69802', '69096', '55443', '28820', '13848', '78258', '37490', '30556', '77380', '28447', '44550', '26791', '70609', '82182', '33306', '43224', '22322', '86959', '68519', '14308', '46501', '81131', '34056', '61991', '19896', '87804', '65774', '92564') + INTERSECT + SELECT + "a1"."ca_zip" AS "ca_zip" + FROM "a1" AS "a1" +) +SELECT + "store"."s_store_name" AS "s_store_name", + SUM("store_sales"."ss_net_profit") AS "_col_1" +FROM "store_sales" AS "store_sales" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_qoy" = 2 + AND "date_dim"."d_year" = 2000 + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" +JOIN "store" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_store_sk" +JOIN "a2" AS "a2" + ON SUBSTR("store"."s_zip", 1, 2) = SUBSTR("a2"."ca_zip", 1, 2) +GROUP BY + "store"."s_store_name" +ORDER BY + "s_store_name" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 9 +-------------------------------------- +SELECT CASE + WHEN (SELECT Count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 1 AND 20) > 3672 THEN + (SELECT Avg(ss_ext_list_price) + FROM store_sales + WHERE + ss_quantity BETWEEN 1 AND 20) + ELSE (SELECT Avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 1 AND 20) + END bucket1, + CASE + WHEN (SELECT Count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 21 AND 40) > 3392 THEN + (SELECT Avg(ss_ext_list_price) + FROM store_sales + WHERE + ss_quantity BETWEEN 21 AND 40) + ELSE (SELECT Avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 21 AND 40) + END bucket2, + CASE + WHEN (SELECT Count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 41 AND 60) > 32784 THEN + (SELECT Avg(ss_ext_list_price) + FROM store_sales + WHERE + ss_quantity BETWEEN 41 AND 60) + ELSE (SELECT Avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 41 AND 60) + END bucket3, + CASE + WHEN (SELECT Count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 61 AND 80) > 26032 THEN + (SELECT Avg(ss_ext_list_price) + FROM store_sales + WHERE + ss_quantity BETWEEN 61 AND 80) + ELSE (SELECT Avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 61 AND 80) + END bucket4, + CASE + WHEN (SELECT Count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 81 AND 100) > 23982 THEN + (SELECT Avg(ss_ext_list_price) + FROM store_sales + WHERE + ss_quantity BETWEEN 81 AND 100) + ELSE (SELECT Avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 81 AND 100) + END bucket5 +FROM reason +WHERE r_reason_sk = 1; +WITH "_u_0" AS ( + SELECT + COUNT(*) AS "_col_0" + FROM "store_sales" AS "store_sales" + WHERE + "store_sales"."ss_quantity" <= 20 AND "store_sales"."ss_quantity" >= 1 +), "_u_1" AS ( + SELECT + AVG("store_sales"."ss_ext_list_price") AS "_col_0" + FROM "store_sales" AS "store_sales" + WHERE + "store_sales"."ss_quantity" <= 20 AND "store_sales"."ss_quantity" >= 1 +), "_u_2" AS ( + SELECT + AVG("store_sales"."ss_net_profit") AS "_col_0" + FROM "store_sales" AS "store_sales" + WHERE + "store_sales"."ss_quantity" <= 20 AND "store_sales"."ss_quantity" >= 1 +), "_u_3" AS ( + SELECT + COUNT(*) AS "_col_0" + FROM "store_sales" AS "store_sales" + WHERE + "store_sales"."ss_quantity" <= 40 AND "store_sales"."ss_quantity" >= 21 +), "_u_4" AS ( + SELECT + AVG("store_sales"."ss_ext_list_price") AS "_col_0" + FROM "store_sales" AS "store_sales" + WHERE + "store_sales"."ss_quantity" <= 40 AND "store_sales"."ss_quantity" >= 21 +), "_u_5" AS ( + SELECT + AVG("store_sales"."ss_net_profit") AS "_col_0" + FROM "store_sales" AS "store_sales" + WHERE + "store_sales"."ss_quantity" <= 40 AND "store_sales"."ss_quantity" >= 21 +), "_u_6" AS ( + SELECT + COUNT(*) AS "_col_0" + FROM "store_sales" AS "store_sales" + WHERE + "store_sales"."ss_quantity" <= 60 AND "store_sales"."ss_quantity" >= 41 +), "_u_7" AS ( + SELECT + AVG("store_sales"."ss_ext_list_price") AS "_col_0" + FROM "store_sales" AS "store_sales" + WHERE + "store_sales"."ss_quantity" <= 60 AND "store_sales"."ss_quantity" >= 41 +), "_u_8" AS ( + SELECT + AVG("store_sales"."ss_net_profit") AS "_col_0" + FROM "store_sales" AS "store_sales" + WHERE + "store_sales"."ss_quantity" <= 60 AND "store_sales"."ss_quantity" >= 41 +), "_u_9" AS ( + SELECT + COUNT(*) AS "_col_0" + FROM "store_sales" AS "store_sales" + WHERE + "store_sales"."ss_quantity" <= 80 AND "store_sales"."ss_quantity" >= 61 +), "_u_10" AS ( + SELECT + AVG("store_sales"."ss_ext_list_price") AS "_col_0" + FROM "store_sales" AS "store_sales" + WHERE + "store_sales"."ss_quantity" <= 80 AND "store_sales"."ss_quantity" >= 61 +), "_u_11" AS ( + SELECT + AVG("store_sales"."ss_net_profit") AS "_col_0" + FROM "store_sales" AS "store_sales" + WHERE + "store_sales"."ss_quantity" <= 80 AND "store_sales"."ss_quantity" >= 61 +), "_u_12" AS ( + SELECT + COUNT(*) AS "_col_0" + FROM "store_sales" AS "store_sales" + WHERE + "store_sales"."ss_quantity" <= 100 AND "store_sales"."ss_quantity" >= 81 +), "_u_13" AS ( + SELECT + AVG("store_sales"."ss_ext_list_price") AS "_col_0" + FROM "store_sales" AS "store_sales" + WHERE + "store_sales"."ss_quantity" <= 100 AND "store_sales"."ss_quantity" >= 81 +), "_u_14" AS ( + SELECT + AVG("store_sales"."ss_net_profit") AS "_col_0" + FROM "store_sales" AS "store_sales" + WHERE + "store_sales"."ss_quantity" <= 100 AND "store_sales"."ss_quantity" >= 81 +) +SELECT + CASE WHEN "_u_0"."_col_0" > 3672 THEN "_u_1"."_col_0" ELSE "_u_2"."_col_0" END AS "bucket1", + CASE WHEN "_u_3"."_col_0" > 3392 THEN "_u_4"."_col_0" ELSE "_u_5"."_col_0" END AS "bucket2", + CASE WHEN "_u_6"."_col_0" > 32784 THEN "_u_7"."_col_0" ELSE "_u_8"."_col_0" END AS "bucket3", + CASE WHEN "_u_9"."_col_0" > 26032 THEN "_u_10"."_col_0" ELSE "_u_11"."_col_0" END AS "bucket4", + CASE WHEN "_u_12"."_col_0" > 23982 THEN "_u_13"."_col_0" ELSE "_u_14"."_col_0" END AS "bucket5" +FROM "reason" AS "reason" +CROSS JOIN "_u_0" AS "_u_0" +CROSS JOIN "_u_1" AS "_u_1" +CROSS JOIN "_u_2" AS "_u_2" +CROSS JOIN "_u_3" AS "_u_3" +CROSS JOIN "_u_4" AS "_u_4" +CROSS JOIN "_u_5" AS "_u_5" +CROSS JOIN "_u_6" AS "_u_6" +CROSS JOIN "_u_7" AS "_u_7" +CROSS JOIN "_u_8" AS "_u_8" +CROSS JOIN "_u_9" AS "_u_9" +CROSS JOIN "_u_10" AS "_u_10" +CROSS JOIN "_u_11" AS "_u_11" +CROSS JOIN "_u_12" AS "_u_12" +CROSS JOIN "_u_13" AS "_u_13" +CROSS JOIN "_u_14" AS "_u_14" +WHERE + "reason"."r_reason_sk" = 1; + +-------------------------------------- +-- TPC-DS 10 +-------------------------------------- +SELECT cd_gender, + cd_marital_status, + cd_education_status, + Count(*) cnt1, + cd_purchase_estimate, + Count(*) cnt2, + cd_credit_rating, + Count(*) cnt3, + cd_dep_count, + Count(*) cnt4, + cd_dep_employed_count, + Count(*) cnt5, + cd_dep_college_count, + Count(*) cnt6 +FROM customer c, + customer_address ca, + customer_demographics +WHERE c.c_current_addr_sk = ca.ca_address_sk + AND ca_county IN ( 'Lycoming County', 'Sheridan County', + 'Kandiyohi County', + 'Pike County', + 'Greene County' ) + AND cd_demo_sk = c.c_current_cdemo_sk + AND EXISTS (SELECT * + FROM store_sales, + date_dim + WHERE c.c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 2002 + AND d_moy BETWEEN 4 AND 4 + 3) + AND ( EXISTS (SELECT * + FROM web_sales, + date_dim + WHERE c.c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 2002 + AND d_moy BETWEEN 4 AND 4 + 3) + OR EXISTS (SELECT * + FROM catalog_sales, + date_dim + WHERE c.c_customer_sk = cs_ship_customer_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 2002 + AND d_moy BETWEEN 4 AND 4 + 3) ) +GROUP BY cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating, + cd_dep_count, + cd_dep_employed_count, + cd_dep_college_count +ORDER BY cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating, + cd_dep_count, + cd_dep_employed_count, + cd_dep_college_count +LIMIT 100; +WITH "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_date_id" AS "d_date_id", + "date_dim"."d_date" AS "d_date", + "date_dim"."d_month_seq" AS "d_month_seq", + "date_dim"."d_week_seq" AS "d_week_seq", + "date_dim"."d_quarter_seq" AS "d_quarter_seq", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_dow" AS "d_dow", + "date_dim"."d_moy" AS "d_moy", + "date_dim"."d_dom" AS "d_dom", + "date_dim"."d_qoy" AS "d_qoy", + "date_dim"."d_fy_year" AS "d_fy_year", + "date_dim"."d_fy_quarter_seq" AS "d_fy_quarter_seq", + "date_dim"."d_fy_week_seq" AS "d_fy_week_seq", + "date_dim"."d_day_name" AS "d_day_name", + "date_dim"."d_quarter_name" AS "d_quarter_name", + "date_dim"."d_holiday" AS "d_holiday", + "date_dim"."d_weekend" AS "d_weekend", + "date_dim"."d_following_holiday" AS "d_following_holiday", + "date_dim"."d_first_dom" AS "d_first_dom", + "date_dim"."d_last_dom" AS "d_last_dom", + "date_dim"."d_same_day_ly" AS "d_same_day_ly", + "date_dim"."d_same_day_lq" AS "d_same_day_lq", + "date_dim"."d_current_day" AS "d_current_day", + "date_dim"."d_current_week" AS "d_current_week", + "date_dim"."d_current_month" AS "d_current_month", + "date_dim"."d_current_quarter" AS "d_current_quarter", + "date_dim"."d_current_year" AS "d_current_year" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_moy" <= 7 AND "date_dim"."d_moy" >= 4 AND "date_dim"."d_year" = 2002 +), "_u_0" AS ( + SELECT + "store_sales"."ss_customer_sk" AS "_u_1" + FROM "store_sales" AS "store_sales" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "store_sales"."ss_customer_sk" +), "_u_2" AS ( + SELECT + "web_sales"."ws_bill_customer_sk" AS "_u_3" + FROM "web_sales" AS "web_sales" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "web_sales"."ws_bill_customer_sk" +), "_u_4" AS ( + SELECT + "catalog_sales"."cs_ship_customer_sk" AS "_u_5" + FROM "catalog_sales" AS "catalog_sales" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "catalog_sales"."cs_ship_customer_sk" +) +SELECT + "customer_demographics"."cd_gender" AS "cd_gender", + "customer_demographics"."cd_marital_status" AS "cd_marital_status", + "customer_demographics"."cd_education_status" AS "cd_education_status", + COUNT(*) AS "cnt1", + "customer_demographics"."cd_purchase_estimate" AS "cd_purchase_estimate", + COUNT(*) AS "cnt2", + "customer_demographics"."cd_credit_rating" AS "cd_credit_rating", + COUNT(*) AS "cnt3", + "customer_demographics"."cd_dep_count" AS "cd_dep_count", + COUNT(*) AS "cnt4", + "customer_demographics"."cd_dep_employed_count" AS "cd_dep_employed_count", + COUNT(*) AS "cnt5", + "customer_demographics"."cd_dep_college_count" AS "cd_dep_college_count", + COUNT(*) AS "cnt6" +FROM "customer" AS "customer" +LEFT JOIN "_u_0" AS "_u_0" + ON "customer"."c_customer_sk" = "_u_0"."_u_1" +LEFT JOIN "_u_2" AS "_u_2" + ON "customer"."c_customer_sk" = "_u_2"."_u_3" +LEFT JOIN "_u_4" AS "_u_4" + ON "customer"."c_customer_sk" = "_u_4"."_u_5" +JOIN "customer_address" AS "customer_address" + ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk" + AND "customer_address"."ca_county" IN ('Lycoming County', 'Sheridan County', 'Kandiyohi County', 'Pike County', 'Greene County') +JOIN "customer_demographics" AS "customer_demographics" + ON "customer_demographics"."cd_demo_sk" = "customer"."c_current_cdemo_sk" +WHERE + NOT "_u_0"."_u_1" IS NULL + AND ( + NOT "_u_2"."_u_3" IS NULL OR NOT "_u_4"."_u_5" IS NULL + ) +GROUP BY + "customer_demographics"."cd_gender", + "customer_demographics"."cd_marital_status", + "customer_demographics"."cd_education_status", + "customer_demographics"."cd_purchase_estimate", + "customer_demographics"."cd_credit_rating", + "customer_demographics"."cd_dep_count", + "customer_demographics"."cd_dep_employed_count", + "customer_demographics"."cd_dep_college_count" +ORDER BY + "cd_gender", + "cd_marital_status", + "cd_education_status", + "cd_purchase_estimate", + "cd_credit_rating", + "cd_dep_count", + "cd_dep_employed_count", + "cd_dep_college_count" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 11 +-------------------------------------- +WITH year_total + AS (SELECT c_customer_id customer_id, + c_first_name customer_first_name + , + c_last_name + customer_last_name, + c_preferred_cust_flag + customer_preferred_cust_flag + , + c_birth_country + customer_birth_country, + c_login customer_login, + c_email_address + customer_email_address, + d_year dyear, + Sum(ss_ext_list_price - ss_ext_discount_amt) year_total, + 's' sale_type + FROM customer, + store_sales, + date_dim + WHERE c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + GROUP BY c_customer_id, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_country, + c_login, + c_email_address, + d_year + UNION ALL + SELECT c_customer_id customer_id, + c_first_name customer_first_name + , + c_last_name + customer_last_name, + c_preferred_cust_flag + customer_preferred_cust_flag + , + c_birth_country + customer_birth_country, + c_login customer_login, + c_email_address + customer_email_address, + d_year dyear, + Sum(ws_ext_list_price - ws_ext_discount_amt) year_total, + 'w' sale_type + FROM customer, + web_sales, + date_dim + WHERE c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + GROUP BY c_customer_id, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_country, + c_login, + c_email_address, + d_year) +SELECT t_s_secyear.customer_id, + t_s_secyear.customer_first_name, + t_s_secyear.customer_last_name, + t_s_secyear.customer_birth_country +FROM year_total t_s_firstyear, + year_total t_s_secyear, + year_total t_w_firstyear, + year_total t_w_secyear +WHERE t_s_secyear.customer_id = t_s_firstyear.customer_id + AND t_s_firstyear.customer_id = t_w_secyear.customer_id + AND t_s_firstyear.customer_id = t_w_firstyear.customer_id + AND t_s_firstyear.sale_type = 's' + AND t_w_firstyear.sale_type = 'w' + AND t_s_secyear.sale_type = 's' + AND t_w_secyear.sale_type = 'w' + AND t_s_firstyear.dyear = 2001 + AND t_s_secyear.dyear = 2001 + 1 + AND t_w_firstyear.dyear = 2001 + AND t_w_secyear.dyear = 2001 + 1 + AND t_s_firstyear.year_total > 0 + AND t_w_firstyear.year_total > 0 + AND CASE + WHEN t_w_firstyear.year_total > 0 THEN t_w_secyear.year_total / + t_w_firstyear.year_total + ELSE 0.0 + END > CASE + WHEN t_s_firstyear.year_total > 0 THEN + t_s_secyear.year_total / + t_s_firstyear.year_total + ELSE 0.0 + END +ORDER BY t_s_secyear.customer_id, + t_s_secyear.customer_first_name, + t_s_secyear.customer_last_name, + t_s_secyear.customer_birth_country +LIMIT 100; +WITH "customer_2" AS ( + SELECT + "customer"."c_customer_sk" AS "c_customer_sk", + "customer"."c_customer_id" AS "c_customer_id", + "customer"."c_first_name" AS "c_first_name", + "customer"."c_last_name" AS "c_last_name", + "customer"."c_preferred_cust_flag" AS "c_preferred_cust_flag", + "customer"."c_birth_country" AS "c_birth_country", + "customer"."c_login" AS "c_login", + "customer"."c_email_address" AS "c_email_address" + FROM "customer" AS "customer" +), "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year" + FROM "date_dim" AS "date_dim" +), "cte" AS ( + SELECT + "customer"."c_customer_id" AS "customer_id", + "customer"."c_first_name" AS "customer_first_name", + "customer"."c_last_name" AS "customer_last_name", + "customer"."c_birth_country" AS "customer_birth_country", + "date_dim"."d_year" AS "dyear", + SUM("store_sales"."ss_ext_list_price" - "store_sales"."ss_ext_discount_amt") AS "year_total", + 's' AS "sale_type" + FROM "customer_2" AS "customer" + JOIN "store_sales" AS "store_sales" + ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "customer"."c_customer_id", + "customer"."c_first_name", + "customer"."c_last_name", + "customer"."c_preferred_cust_flag", + "customer"."c_birth_country", + "customer"."c_login", + "customer"."c_email_address", + "date_dim"."d_year" +), "cte_2" AS ( + SELECT + "customer"."c_customer_id" AS "customer_id", + "customer"."c_first_name" AS "customer_first_name", + "customer"."c_last_name" AS "customer_last_name", + "customer"."c_birth_country" AS "customer_birth_country", + "date_dim"."d_year" AS "dyear", + SUM("web_sales"."ws_ext_list_price" - "web_sales"."ws_ext_discount_amt") AS "year_total", + 'w' AS "sale_type" + FROM "customer_2" AS "customer" + JOIN "web_sales" AS "web_sales" + ON "customer"."c_customer_sk" = "web_sales"."ws_bill_customer_sk" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "customer"."c_customer_id", + "customer"."c_first_name", + "customer"."c_last_name", + "customer"."c_preferred_cust_flag", + "customer"."c_birth_country", + "customer"."c_login", + "customer"."c_email_address", + "date_dim"."d_year" +), "year_total" AS ( + SELECT + "cte"."customer_id" AS "customer_id", + "cte"."customer_first_name" AS "customer_first_name", + "cte"."customer_last_name" AS "customer_last_name", + "cte"."customer_birth_country" AS "customer_birth_country", + "cte"."dyear" AS "dyear", + "cte"."year_total" AS "year_total", + "cte"."sale_type" AS "sale_type" + FROM "cte" AS "cte" + UNION ALL + SELECT + "cte_2"."customer_id" AS "customer_id", + "cte_2"."customer_first_name" AS "customer_first_name", + "cte_2"."customer_last_name" AS "customer_last_name", + "cte_2"."customer_birth_country" AS "customer_birth_country", + "cte_2"."dyear" AS "dyear", + "cte_2"."year_total" AS "year_total", + "cte_2"."sale_type" AS "sale_type" + FROM "cte_2" AS "cte_2" +) +SELECT + "t_s_secyear"."customer_id" AS "customer_id", + "t_s_secyear"."customer_first_name" AS "customer_first_name", + "t_s_secyear"."customer_last_name" AS "customer_last_name", + "t_s_secyear"."customer_birth_country" AS "customer_birth_country" +FROM "year_total" AS "t_s_firstyear" +JOIN "year_total" AS "t_s_secyear" + ON "t_s_secyear"."customer_id" = "t_s_firstyear"."customer_id" + AND "t_s_secyear"."dyear" = 2002 + AND "t_s_secyear"."sale_type" = 's' +JOIN "year_total" AS "t_w_secyear" + ON "t_s_firstyear"."customer_id" = "t_w_secyear"."customer_id" + AND "t_w_secyear"."dyear" = 2002 + AND "t_w_secyear"."sale_type" = 'w' +JOIN "year_total" AS "t_w_firstyear" + ON "t_s_firstyear"."customer_id" = "t_w_firstyear"."customer_id" + AND "t_w_firstyear"."dyear" = 2001 + AND "t_w_firstyear"."sale_type" = 'w' + AND "t_w_firstyear"."year_total" > 0 + AND CASE + WHEN "t_w_firstyear"."year_total" > 0 + THEN "t_w_secyear"."year_total" / "t_w_firstyear"."year_total" + ELSE 0.0 + END > CASE + WHEN "t_s_firstyear"."year_total" > 0 + THEN "t_s_secyear"."year_total" / "t_s_firstyear"."year_total" + ELSE 0.0 + END +WHERE + "t_s_firstyear"."dyear" = 2001 + AND "t_s_firstyear"."sale_type" = 's' + AND "t_s_firstyear"."year_total" > 0 +ORDER BY + "t_s_secyear"."customer_id", + "t_s_secyear"."customer_first_name", + "t_s_secyear"."customer_last_name", + "t_s_secyear"."customer_birth_country" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 12 +-------------------------------------- +SELECT + i_item_id , + i_item_desc , + i_category , + i_class , + i_current_price , + Sum(ws_ext_sales_price) AS itemrevenue , + Sum(ws_ext_sales_price)*100/Sum(Sum(ws_ext_sales_price)) OVER (partition BY i_class) AS revenueratio +FROM web_sales , + item , + date_dim +WHERE ws_item_sk = i_item_sk +AND i_category IN ('Home', + 'Men', + 'Women') +AND ws_sold_date_sk = d_date_sk +AND d_date BETWEEN Cast('2000-05-11' AS DATE) AND ( + Cast('2000-05-11' AS DATE) + INTERVAL '30' day) +GROUP BY i_item_id , + i_item_desc , + i_category , + i_class , + i_current_price +ORDER BY i_category , + i_class , + i_item_id , + i_item_desc , + revenueratio +LIMIT 100; +SELECT + "item"."i_item_id" AS "i_item_id", + "item"."i_item_desc" AS "i_item_desc", + "item"."i_category" AS "i_category", + "item"."i_class" AS "i_class", + "item"."i_current_price" AS "i_current_price", + SUM("web_sales"."ws_ext_sales_price") AS "itemrevenue", + SUM("web_sales"."ws_ext_sales_price") * 100 / SUM(SUM("web_sales"."ws_ext_sales_price")) OVER (PARTITION BY "item"."i_class") AS "revenueratio" +FROM "web_sales" AS "web_sales" +JOIN "item" AS "item" + ON "item"."i_category" IN ('Home', 'Men', 'Women') + AND "web_sales"."ws_item_sk" = "item"."i_item_sk" +JOIN "date_dim" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + AND CAST("date_dim"."d_date" AS DATE) <= CAST('2000-06-10' AS DATE) + AND CAST("date_dim"."d_date" AS DATE) >= CAST('2000-05-11' AS DATE) +GROUP BY + "item"."i_item_id", + "item"."i_item_desc", + "item"."i_category", + "item"."i_class", + "item"."i_current_price" +ORDER BY + "i_category", + "i_class", + "i_item_id", + "i_item_desc", + "revenueratio" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 13 +-------------------------------------- +SELECT Avg(ss_quantity), + Avg(ss_ext_sales_price), + Avg(ss_ext_wholesale_cost), + Sum(ss_ext_wholesale_cost) +FROM store_sales, + store, + customer_demographics, + household_demographics, + customer_address, + date_dim +WHERE s_store_sk = ss_store_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 2001 + AND ( ( ss_hdemo_sk = hd_demo_sk + AND cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'U' + AND cd_education_status = 'Advanced Degree' + AND ss_sales_price BETWEEN 100.00 AND 150.00 + AND hd_dep_count = 3 ) + OR ( ss_hdemo_sk = hd_demo_sk + AND cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'M' + AND cd_education_status = 'Primary' + AND ss_sales_price BETWEEN 50.00 AND 100.00 + AND hd_dep_count = 1 ) + OR ( ss_hdemo_sk = hd_demo_sk + AND cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'D' + AND cd_education_status = 'Secondary' + AND ss_sales_price BETWEEN 150.00 AND 200.00 + AND hd_dep_count = 1 ) ) + AND ( ( ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ( 'AZ', 'NE', 'IA' ) + AND ss_net_profit BETWEEN 100 AND 200 ) + OR ( ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ( 'MS', 'CA', 'NV' ) + AND ss_net_profit BETWEEN 150 AND 300 ) + OR ( ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ( 'GA', 'TX', 'NJ' ) + AND ss_net_profit BETWEEN 50 AND 250 ) ); +SELECT + AVG("store_sales"."ss_quantity") AS "_col_0", + AVG("store_sales"."ss_ext_sales_price") AS "_col_1", + AVG("store_sales"."ss_ext_wholesale_cost") AS "_col_2", + SUM("store_sales"."ss_ext_wholesale_cost") AS "_col_3" +FROM "store_sales" AS "store_sales" +JOIN "store" AS "store" + ON "store"."s_store_sk" = "store_sales"."ss_store_sk" +CROSS JOIN "household_demographics" AS "household_demographics" +JOIN "customer_demographics" AS "customer_demographics" + ON "customer_demographics"."cd_demo_sk" = "store_sales"."ss_cdemo_sk" + AND "customer_demographics"."cd_education_status" = 'Advanced Degree' + AND "customer_demographics"."cd_education_status" = 'Primary' + AND "customer_demographics"."cd_education_status" = 'Secondary' + AND "customer_demographics"."cd_marital_status" = 'D' + AND "customer_demographics"."cd_marital_status" = 'M' + AND "customer_demographics"."cd_marital_status" = 'U' + AND "household_demographics"."hd_dep_count" = 1 + AND "household_demographics"."hd_dep_count" = 3 + AND "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "store_sales"."ss_sales_price" <= 100.00 + AND "store_sales"."ss_sales_price" >= 150.00 +JOIN "customer_address" AS "customer_address" + ON ( + "customer_address"."ca_country" = 'United States' + AND "customer_address"."ca_state" IN ('AZ', 'NE', 'IA') + AND "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + AND "store_sales"."ss_net_profit" <= 200 + AND "store_sales"."ss_net_profit" >= 100 + ) + OR ( + "customer_address"."ca_country" = 'United States' + AND "customer_address"."ca_state" IN ('GA', 'TX', 'NJ') + AND "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + AND "store_sales"."ss_net_profit" <= 250 + AND "store_sales"."ss_net_profit" >= 50 + ) + OR ( + "customer_address"."ca_country" = 'United States' + AND "customer_address"."ca_state" IN ('MS', 'CA', 'NV') + AND "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + AND "store_sales"."ss_net_profit" <= 300 + AND "store_sales"."ss_net_profit" >= 150 + ) +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" = 2001 + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk"; + +-------------------------------------- +-- TPC-DS 14 +-------------------------------------- +WITH cross_items + AS (SELECT i_item_sk ss_item_sk + FROM item, + (SELECT iss.i_brand_id brand_id, + iss.i_class_id class_id, + iss.i_category_id category_id + FROM store_sales, + item iss, + date_dim d1 + WHERE ss_item_sk = iss.i_item_sk + AND ss_sold_date_sk = d1.d_date_sk + AND d1.d_year BETWEEN 1999 AND 1999 + 2 + INTERSECT + SELECT ics.i_brand_id, + ics.i_class_id, + ics.i_category_id + FROM catalog_sales, + item ics, + date_dim d2 + WHERE cs_item_sk = ics.i_item_sk + AND cs_sold_date_sk = d2.d_date_sk + AND d2.d_year BETWEEN 1999 AND 1999 + 2 + INTERSECT + SELECT iws.i_brand_id, + iws.i_class_id, + iws.i_category_id + FROM web_sales, + item iws, + date_dim d3 + WHERE ws_item_sk = iws.i_item_sk + AND ws_sold_date_sk = d3.d_date_sk + AND d3.d_year BETWEEN 1999 AND 1999 + 2) + WHERE i_brand_id = brand_id + AND i_class_id = class_id + AND i_category_id = category_id), + avg_sales + AS (SELECT Avg(quantity * list_price) average_sales + FROM (SELECT ss_quantity quantity, + ss_list_price list_price + FROM store_sales, + date_dim + WHERE ss_sold_date_sk = d_date_sk + AND d_year BETWEEN 1999 AND 1999 + 2 + UNION ALL + SELECT cs_quantity quantity, + cs_list_price list_price + FROM catalog_sales, + date_dim + WHERE cs_sold_date_sk = d_date_sk + AND d_year BETWEEN 1999 AND 1999 + 2 + UNION ALL + SELECT ws_quantity quantity, + ws_list_price list_price + FROM web_sales, + date_dim + WHERE ws_sold_date_sk = d_date_sk + AND d_year BETWEEN 1999 AND 1999 + 2) x) +SELECT channel, + i_brand_id, + i_class_id, + i_category_id, + Sum(sales), + Sum(number_sales) +FROM (SELECT 'store' channel, + i_brand_id, + i_class_id, + i_category_id, + Sum(ss_quantity * ss_list_price) sales, + Count(*) number_sales + FROM store_sales, + item, + date_dim + WHERE ss_item_sk IN (SELECT ss_item_sk + FROM cross_items) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1999 + 2 + AND d_moy = 11 + GROUP BY i_brand_id, + i_class_id, + i_category_id + HAVING Sum(ss_quantity * ss_list_price) > (SELECT average_sales + FROM avg_sales) + UNION ALL + SELECT 'catalog' channel, + i_brand_id, + i_class_id, + i_category_id, + Sum(cs_quantity * cs_list_price) sales, + Count(*) number_sales + FROM catalog_sales, + item, + date_dim + WHERE cs_item_sk IN (SELECT ss_item_sk + FROM cross_items) + AND cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 1999 + 2 + AND d_moy = 11 + GROUP BY i_brand_id, + i_class_id, + i_category_id + HAVING Sum(cs_quantity * cs_list_price) > (SELECT average_sales + FROM avg_sales) + UNION ALL + SELECT 'web' channel, + i_brand_id, + i_class_id, + i_category_id, + Sum(ws_quantity * ws_list_price) sales, + Count(*) number_sales + FROM web_sales, + item, + date_dim + WHERE ws_item_sk IN (SELECT ss_item_sk + FROM cross_items) + AND ws_item_sk = i_item_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 1999 + 2 + AND d_moy = 11 + GROUP BY i_brand_id, + i_class_id, + i_category_id + HAVING Sum(ws_quantity * ws_list_price) > (SELECT average_sales + FROM avg_sales)) y +GROUP BY rollup ( channel, i_brand_id, i_class_id, i_category_id ) +ORDER BY channel, + i_brand_id, + i_class_id, + i_category_id +LIMIT 100; +WITH "item_2" AS ( + SELECT + "item"."i_item_sk" AS "i_item_sk", + "item"."i_brand_id" AS "i_brand_id", + "item"."i_class_id" AS "i_class_id", + "item"."i_category_id" AS "i_category_id" + FROM "item" AS "item" +), "d1" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_year" <= 2001 AND "date_dim"."d_year" >= 1999 +), "cte_4" AS ( + SELECT + "ics"."i_brand_id" AS "i_brand_id", + "ics"."i_class_id" AS "i_class_id", + "ics"."i_category_id" AS "i_category_id" + FROM "catalog_sales" AS "catalog_sales" + CROSS JOIN "item_2" AS "ics" + CROSS JOIN "d1" AS "d2" + WHERE + "catalog_sales"."cs_item_sk" = "ics"."i_item_sk" + AND "catalog_sales"."cs_sold_date_sk" = "d2"."d_date_sk" + INTERSECT + SELECT + "iws"."i_brand_id" AS "i_brand_id", + "iws"."i_class_id" AS "i_class_id", + "iws"."i_category_id" AS "i_category_id" + FROM "web_sales" AS "web_sales" + CROSS JOIN "item_2" AS "iws" + CROSS JOIN "d1" AS "d3" + WHERE + "web_sales"."ws_item_sk" = "iws"."i_item_sk" + AND "web_sales"."ws_sold_date_sk" = "d3"."d_date_sk" +), "_q_0" AS ( + SELECT + "iss"."i_brand_id" AS "brand_id", + "iss"."i_class_id" AS "class_id", + "iss"."i_category_id" AS "category_id" + FROM "store_sales" AS "store_sales" + CROSS JOIN "item_2" AS "iss" + CROSS JOIN "d1" AS "d1" + WHERE + "store_sales"."ss_item_sk" = "iss"."i_item_sk" + AND "store_sales"."ss_sold_date_sk" = "d1"."d_date_sk" + INTERSECT + SELECT + "cte_4"."i_brand_id" AS "i_brand_id", + "cte_4"."i_class_id" AS "i_class_id", + "cte_4"."i_category_id" AS "i_category_id" + FROM "cte_4" AS "cte_4" +), "cte_8" AS ( + SELECT + "catalog_sales"."cs_quantity" AS "quantity", + "catalog_sales"."cs_list_price" AS "list_price" + FROM "catalog_sales" AS "catalog_sales" + JOIN "d1" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + UNION ALL + SELECT + "web_sales"."ws_quantity" AS "quantity", + "web_sales"."ws_list_price" AS "list_price" + FROM "web_sales" AS "web_sales" + JOIN "d1" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" +), "x" AS ( + SELECT + "store_sales"."ss_quantity" AS "quantity", + "store_sales"."ss_list_price" AS "list_price" + FROM "store_sales" AS "store_sales" + JOIN "d1" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + UNION ALL + SELECT + "cte_8"."quantity" AS "quantity", + "cte_8"."list_price" AS "list_price" + FROM "cte_8" AS "cte_8" +), "avg_sales" AS ( + SELECT + AVG("x"."quantity" * "x"."list_price") AS "average_sales" + FROM "x" AS "x" +), "_u_0" AS ( + SELECT + "item"."i_item_sk" AS "ss_item_sk" + FROM "item_2" AS "item" + JOIN "_q_0" AS "_q_0" + ON "item"."i_brand_id" = "_q_0"."brand_id" + AND "item"."i_category_id" = "_q_0"."category_id" + AND "item"."i_class_id" = "_q_0"."class_id" + GROUP BY + "item"."i_item_sk" +), "_u_1" AS ( + SELECT + "avg_sales"."average_sales" AS "average_sales" + FROM "avg_sales" +), "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_moy" AS "d_moy" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_moy" = 11 AND "date_dim"."d_year" = 2001 +), "cte_9" AS ( + SELECT + 'store' AS "channel", + "item"."i_brand_id" AS "i_brand_id", + "item"."i_class_id" AS "i_class_id", + "item"."i_category_id" AS "i_category_id", + SUM("store_sales"."ss_quantity" * "store_sales"."ss_list_price") AS "sales", + COUNT(*) AS "number_sales" + FROM "store_sales" AS "store_sales" + LEFT JOIN "_u_0" AS "_u_0" + ON "store_sales"."ss_item_sk" = "_u_0"."ss_item_sk" + CROSS JOIN "_u_1" AS "_u_1" + JOIN "item_2" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + NOT "_u_0"."ss_item_sk" IS NULL + GROUP BY + "item"."i_brand_id", + "item"."i_class_id", + "item"."i_category_id" + HAVING + SUM("store_sales"."ss_quantity" * "store_sales"."ss_list_price") > MAX("_u_1"."average_sales") +), "cte_10" AS ( + SELECT + 'catalog' AS "channel", + "item"."i_brand_id" AS "i_brand_id", + "item"."i_class_id" AS "i_class_id", + "item"."i_category_id" AS "i_category_id", + SUM("catalog_sales"."cs_quantity" * "catalog_sales"."cs_list_price") AS "sales", + COUNT(*) AS "number_sales" + FROM "catalog_sales" AS "catalog_sales" + LEFT JOIN "_u_0" AS "_u_2" + ON "catalog_sales"."cs_item_sk" = "_u_2"."ss_item_sk" + CROSS JOIN "_u_1" AS "_u_3" + JOIN "item_2" AS "item" + ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + NOT "_u_2"."ss_item_sk" IS NULL + GROUP BY + "item"."i_brand_id", + "item"."i_class_id", + "item"."i_category_id" + HAVING + SUM("catalog_sales"."cs_quantity" * "catalog_sales"."cs_list_price") > MAX("_u_3"."average_sales") +), "cte_11" AS ( + SELECT + 'web' AS "channel", + "item"."i_brand_id" AS "i_brand_id", + "item"."i_class_id" AS "i_class_id", + "item"."i_category_id" AS "i_category_id", + SUM("web_sales"."ws_quantity" * "web_sales"."ws_list_price") AS "sales", + COUNT(*) AS "number_sales" + FROM "web_sales" AS "web_sales" + LEFT JOIN "_u_0" AS "_u_4" + ON "web_sales"."ws_item_sk" = "_u_4"."ss_item_sk" + CROSS JOIN "_u_1" AS "_u_5" + JOIN "item_2" AS "item" + ON "web_sales"."ws_item_sk" = "item"."i_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + NOT "_u_4"."ss_item_sk" IS NULL + GROUP BY + "item"."i_brand_id", + "item"."i_class_id", + "item"."i_category_id" + HAVING + SUM("web_sales"."ws_quantity" * "web_sales"."ws_list_price") > MAX("_u_5"."average_sales") +), "cte_12" AS ( + SELECT + "cte_10"."channel" AS "channel", + "cte_10"."i_brand_id" AS "i_brand_id", + "cte_10"."i_class_id" AS "i_class_id", + "cte_10"."i_category_id" AS "i_category_id", + "cte_10"."sales" AS "sales", + "cte_10"."number_sales" AS "number_sales" + FROM "cte_10" AS "cte_10" + UNION ALL + SELECT + "cte_11"."channel" AS "channel", + "cte_11"."i_brand_id" AS "i_brand_id", + "cte_11"."i_class_id" AS "i_class_id", + "cte_11"."i_category_id" AS "i_category_id", + "cte_11"."sales" AS "sales", + "cte_11"."number_sales" AS "number_sales" + FROM "cte_11" AS "cte_11" +), "y" AS ( + SELECT + "cte_9"."channel" AS "channel", + "cte_9"."i_brand_id" AS "i_brand_id", + "cte_9"."i_class_id" AS "i_class_id", + "cte_9"."i_category_id" AS "i_category_id", + "cte_9"."sales" AS "sales", + "cte_9"."number_sales" AS "number_sales" + FROM "cte_9" AS "cte_9" + UNION ALL + SELECT + "cte_12"."channel" AS "channel", + "cte_12"."i_brand_id" AS "i_brand_id", + "cte_12"."i_class_id" AS "i_class_id", + "cte_12"."i_category_id" AS "i_category_id", + "cte_12"."sales" AS "sales", + "cte_12"."number_sales" AS "number_sales" + FROM "cte_12" AS "cte_12" +) +SELECT + "y"."channel" AS "channel", + "y"."i_brand_id" AS "i_brand_id", + "y"."i_class_id" AS "i_class_id", + "y"."i_category_id" AS "i_category_id", + SUM("y"."sales") AS "_col_4", + SUM("y"."number_sales") AS "_col_5" +FROM "y" AS "y" +GROUP BY +ROLLUP ( + "y"."channel", + "y"."i_brand_id", + "y"."i_class_id", + "y"."i_category_id" +) +ORDER BY + "channel", + "i_brand_id", + "i_class_id", + "i_category_id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 15 +-------------------------------------- +SELECT ca_zip, + Sum(cs_sales_price) +FROM catalog_sales, + customer, + customer_address, + date_dim +WHERE cs_bill_customer_sk = c_customer_sk + AND c_current_addr_sk = ca_address_sk + AND ( Substr(ca_zip, 1, 5) IN ( '85669', '86197', '88274', '83405', + '86475', '85392', '85460', '80348', + '81792' ) + OR ca_state IN ( 'CA', 'WA', 'GA' ) + OR cs_sales_price > 500 ) + AND cs_sold_date_sk = d_date_sk + AND d_qoy = 1 + AND d_year = 1998 +GROUP BY ca_zip +ORDER BY ca_zip +LIMIT 100; +SELECT + "customer_address"."ca_zip" AS "ca_zip", + SUM("catalog_sales"."cs_sales_price") AS "_col_1" +FROM "catalog_sales" AS "catalog_sales" +JOIN "customer_address" AS "customer_address" + ON "catalog_sales"."cs_sales_price" > 500 + OR "customer_address"."ca_state" IN ('CA', 'WA', 'GA') + OR SUBSTR("customer_address"."ca_zip", 1, 5) IN ('85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792') +JOIN "customer" AS "customer" + ON "catalog_sales"."cs_bill_customer_sk" = "customer"."c_customer_sk" + AND "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk" +JOIN "date_dim" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + AND "date_dim"."d_qoy" = 1 + AND "date_dim"."d_year" = 1998 +GROUP BY + "customer_address"."ca_zip" +ORDER BY + "ca_zip" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 16 +-------------------------------------- +SELECT + Count(DISTINCT cs_order_number) AS "order count" , + Sum(cs_ext_ship_cost) AS "total shipping cost" , + Sum(cs_net_profit) AS "total net profit" +FROM catalog_sales cs1 , + date_dim , + customer_address , + call_center +WHERE d_date BETWEEN '2002-3-01' AND ( + Cast('2002-3-01' AS DATE) + INTERVAL '60' day) +AND cs1.cs_ship_date_sk = d_date_sk +AND cs1.cs_ship_addr_sk = ca_address_sk +AND ca_state = 'IA' +AND cs1.cs_call_center_sk = cc_call_center_sk +AND cc_county IN ('Williamson County', + 'Williamson County', + 'Williamson County', + 'Williamson County', + 'Williamson County' ) +AND EXISTS + ( + SELECT * + FROM catalog_sales cs2 + WHERE cs1.cs_order_number = cs2.cs_order_number + AND cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk) +AND NOT EXISTS + ( + SELECT * + FROM catalog_returns cr1 + WHERE cs1.cs_order_number = cr1.cr_order_number) +ORDER BY count(DISTINCT cs_order_number) +LIMIT 100; +WITH "_u_0" AS ( + SELECT + "cs2"."cs_order_number" AS "_u_1", + ARRAY_AGG("cs2"."cs_warehouse_sk") AS "_u_2" + FROM "catalog_sales" AS "cs2" + GROUP BY + "cs2"."cs_order_number" +), "_u_3" AS ( + SELECT + "cr1"."cr_order_number" AS "_u_4" + FROM "catalog_returns" AS "cr1" + GROUP BY + "cr1"."cr_order_number" +) +SELECT + COUNT(DISTINCT "catalog_sales"."cs_order_number") AS "order count", + SUM("catalog_sales"."cs_ext_ship_cost") AS "total shipping cost", + SUM("catalog_sales"."cs_net_profit") AS "total net profit" +FROM "catalog_sales" AS "catalog_sales" +LEFT JOIN "_u_0" AS "_u_0" + ON "catalog_sales"."cs_order_number" = "_u_0"."_u_1" +LEFT JOIN "_u_3" AS "_u_3" + ON "catalog_sales"."cs_order_number" = "_u_3"."_u_4" +JOIN "date_dim" AS "date_dim" + ON "catalog_sales"."cs_ship_date_sk" = "date_dim"."d_date_sk" + AND "date_dim"."d_date" >= '2002-3-01' + AND CAST("date_dim"."d_date" AS DATE) <= ( + CAST('2002-3-01' AS DATE) + INTERVAL '60' "day" + ) +JOIN "customer_address" AS "customer_address" + ON "catalog_sales"."cs_ship_addr_sk" = "customer_address"."ca_address_sk" + AND "customer_address"."ca_state" = 'IA' +JOIN "call_center" AS "call_center" + ON "call_center"."cc_county" IN ('Williamson County', 'Williamson County', 'Williamson County', 'Williamson County', 'Williamson County') + AND "catalog_sales"."cs_call_center_sk" = "call_center"."cc_call_center_sk" +WHERE + "_u_3"."_u_4" IS NULL + AND ARRAY_ANY("_u_0"."_u_2", "_x" -> "catalog_sales"."cs_warehouse_sk" <> "_x") + AND NOT "_u_0"."_u_1" IS NULL +ORDER BY + COUNT(DISTINCT "catalog_sales"."cs_order_number") +LIMIT 100; + +-------------------------------------- +-- TPC-DS 17 +-------------------------------------- +SELECT i_item_id, + i_item_desc, + s_state, + Count(ss_quantity) AS + store_sales_quantitycount, + Avg(ss_quantity) AS + store_sales_quantityave, + Stddev_samp(ss_quantity) AS + store_sales_quantitystdev, + Stddev_samp(ss_quantity) / Avg(ss_quantity) AS + store_sales_quantitycov, + Count(sr_return_quantity) AS + store_returns_quantitycount, + Avg(sr_return_quantity) AS + store_returns_quantityave, + Stddev_samp(sr_return_quantity) AS + store_returns_quantitystdev, + Stddev_samp(sr_return_quantity) / Avg(sr_return_quantity) AS + store_returns_quantitycov, + Count(cs_quantity) AS + catalog_sales_quantitycount, + Avg(cs_quantity) AS + catalog_sales_quantityave, + Stddev_samp(cs_quantity) / Avg(cs_quantity) AS + catalog_sales_quantitystdev, + Stddev_samp(cs_quantity) / Avg(cs_quantity) AS + catalog_sales_quantitycov +FROM store_sales, + store_returns, + catalog_sales, + date_dim d1, + date_dim d2, + date_dim d3, + store, + item +WHERE d1.d_quarter_name = '1999Q1' + AND d1.d_date_sk = ss_sold_date_sk + AND i_item_sk = ss_item_sk + AND s_store_sk = ss_store_sk + AND ss_customer_sk = sr_customer_sk + AND ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number + AND sr_returned_date_sk = d2.d_date_sk + AND d2.d_quarter_name IN ( '1999Q1', '1999Q2', '1999Q3' ) + AND sr_customer_sk = cs_bill_customer_sk + AND sr_item_sk = cs_item_sk + AND cs_sold_date_sk = d3.d_date_sk + AND d3.d_quarter_name IN ( '1999Q1', '1999Q2', '1999Q3' ) +GROUP BY i_item_id, + i_item_desc, + s_state +ORDER BY i_item_id, + i_item_desc, + s_state +LIMIT 100; +WITH "d3" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_quarter_name" AS "d_quarter_name" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_quarter_name" IN ('1999Q1', '1999Q2', '1999Q3') +) +SELECT + "item"."i_item_id" AS "i_item_id", + "item"."i_item_desc" AS "i_item_desc", + "store"."s_state" AS "s_state", + COUNT("store_sales"."ss_quantity") AS "store_sales_quantitycount", + AVG("store_sales"."ss_quantity") AS "store_sales_quantityave", + STDDEV_SAMP("store_sales"."ss_quantity") AS "store_sales_quantitystdev", + STDDEV_SAMP("store_sales"."ss_quantity") / AVG("store_sales"."ss_quantity") AS "store_sales_quantitycov", + COUNT("store_returns"."sr_return_quantity") AS "store_returns_quantitycount", + AVG("store_returns"."sr_return_quantity") AS "store_returns_quantityave", + STDDEV_SAMP("store_returns"."sr_return_quantity") AS "store_returns_quantitystdev", + STDDEV_SAMP("store_returns"."sr_return_quantity") / AVG("store_returns"."sr_return_quantity") AS "store_returns_quantitycov", + COUNT("catalog_sales"."cs_quantity") AS "catalog_sales_quantitycount", + AVG("catalog_sales"."cs_quantity") AS "catalog_sales_quantityave", + STDDEV_SAMP("catalog_sales"."cs_quantity") / AVG("catalog_sales"."cs_quantity") AS "catalog_sales_quantitystdev", + STDDEV_SAMP("catalog_sales"."cs_quantity") / AVG("catalog_sales"."cs_quantity") AS "catalog_sales_quantitycov" +FROM "store_sales" AS "store_sales" +CROSS JOIN "d3" AS "d3" +JOIN "catalog_sales" AS "catalog_sales" + ON "catalog_sales"."cs_sold_date_sk" = "d3"."d_date_sk" +JOIN "store_returns" AS "store_returns" + ON "store_returns"."sr_customer_sk" = "catalog_sales"."cs_bill_customer_sk" + AND "store_returns"."sr_item_sk" = "catalog_sales"."cs_item_sk" + AND "store_sales"."ss_customer_sk" = "store_returns"."sr_customer_sk" + AND "store_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + AND "store_sales"."ss_ticket_number" = "store_returns"."sr_ticket_number" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk" + AND "date_dim"."d_quarter_name" = '1999Q1' +JOIN "d3" AS "d2" + ON "store_returns"."sr_returned_date_sk" = "d2"."d_date_sk" +JOIN "store" AS "store" + ON "store"."s_store_sk" = "store_sales"."ss_store_sk" +JOIN "item" AS "item" + ON "item"."i_item_sk" = "store_sales"."ss_item_sk" +GROUP BY + "item"."i_item_id", + "item"."i_item_desc", + "store"."s_state" +ORDER BY + "i_item_id", + "i_item_desc", + "s_state" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 18 +-------------------------------------- +SELECT i_item_id, + ca_country, + ca_state, + ca_county, + Avg(Cast(cs_quantity AS NUMERIC(12, 2))) agg1, + Avg(Cast(cs_list_price AS NUMERIC(12, 2))) agg2, + Avg(Cast(cs_coupon_amt AS NUMERIC(12, 2))) agg3, + Avg(Cast(cs_sales_price AS NUMERIC(12, 2))) agg4, + Avg(Cast(cs_net_profit AS NUMERIC(12, 2))) agg5, + Avg(Cast(c_birth_year AS NUMERIC(12, 2))) agg6, + Avg(Cast(cd1.cd_dep_count AS NUMERIC(12, 2))) agg7 +FROM catalog_sales, + customer_demographics cd1, + customer_demographics cd2, + customer, + customer_address, + date_dim, + item +WHERE cs_sold_date_sk = d_date_sk + AND cs_item_sk = i_item_sk + AND cs_bill_cdemo_sk = cd1.cd_demo_sk + AND cs_bill_customer_sk = c_customer_sk + AND cd1.cd_gender = 'F' + AND cd1.cd_education_status = 'Secondary' + AND c_current_cdemo_sk = cd2.cd_demo_sk + AND c_current_addr_sk = ca_address_sk + AND c_birth_month IN ( 8, 4, 2, 5, + 11, 9 ) + AND d_year = 2001 + AND ca_state IN ( 'KS', 'IA', 'AL', 'UT', + 'VA', 'NC', 'TX' ) +GROUP BY rollup ( i_item_id, ca_country, ca_state, ca_county ) +ORDER BY ca_country, + ca_state, + ca_county, + i_item_id +LIMIT 100; +SELECT + "item"."i_item_id" AS "i_item_id", + "customer_address"."ca_country" AS "ca_country", + "customer_address"."ca_state" AS "ca_state", + "customer_address"."ca_county" AS "ca_county", + AVG(CAST("catalog_sales"."cs_quantity" AS DECIMAL(12, 2))) AS "agg1", + AVG(CAST("catalog_sales"."cs_list_price" AS DECIMAL(12, 2))) AS "agg2", + AVG(CAST("catalog_sales"."cs_coupon_amt" AS DECIMAL(12, 2))) AS "agg3", + AVG(CAST("catalog_sales"."cs_sales_price" AS DECIMAL(12, 2))) AS "agg4", + AVG(CAST("catalog_sales"."cs_net_profit" AS DECIMAL(12, 2))) AS "agg5", + AVG(CAST("customer"."c_birth_year" AS DECIMAL(12, 2))) AS "agg6", + AVG(CAST("customer_demographics"."cd_dep_count" AS DECIMAL(12, 2))) AS "agg7" +FROM "catalog_sales" AS "catalog_sales" +JOIN "customer_demographics" AS "customer_demographics" + ON "catalog_sales"."cs_bill_cdemo_sk" = "customer_demographics"."cd_demo_sk" + AND "customer_demographics"."cd_education_status" = 'Secondary' + AND "customer_demographics"."cd_gender" = 'F' +JOIN "customer" AS "customer" + ON "catalog_sales"."cs_bill_customer_sk" = "customer"."c_customer_sk" + AND "customer"."c_birth_month" IN (8, 4, 2, 5, 11, 9) +JOIN "customer_demographics" AS "customer_demographics_2" + ON "customer"."c_current_cdemo_sk" = "customer_demographics_2"."cd_demo_sk" +JOIN "customer_address" AS "customer_address" + ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk" + AND "customer_address"."ca_state" IN ('KS', 'IA', 'AL', 'UT', 'VA', 'NC', 'TX') +JOIN "date_dim" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + AND "date_dim"."d_year" = 2001 +JOIN "item" AS "item" + ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk" +GROUP BY +ROLLUP ( + "item"."i_item_id", + "customer_address"."ca_country", + "customer_address"."ca_state", + "customer_address"."ca_county" +) +ORDER BY + "ca_country", + "ca_state", + "ca_county", + "i_item_id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 20 +-------------------------------------- +SELECT + i_item_id , + i_item_desc , + i_category , + i_class , + i_current_price , + Sum(cs_ext_sales_price) AS itemrevenue , + Sum(cs_ext_sales_price)*100/Sum(Sum(cs_ext_sales_price)) OVER (partition BY i_class) AS revenueratio +FROM catalog_sales , + item , + date_dim +WHERE cs_item_sk = i_item_sk +AND i_category IN ('Children', + 'Women', + 'Electronics') +AND cs_sold_date_sk = d_date_sk +AND d_date BETWEEN Cast('2001-02-03' AS DATE) AND ( + Cast('2001-02-03' AS DATE) + INTERVAL '30' day) +GROUP BY i_item_id , + i_item_desc , + i_category , + i_class , + i_current_price +ORDER BY i_category , + i_class , + i_item_id , + i_item_desc , + revenueratio +LIMIT 100; +SELECT + "item"."i_item_id" AS "i_item_id", + "item"."i_item_desc" AS "i_item_desc", + "item"."i_category" AS "i_category", + "item"."i_class" AS "i_class", + "item"."i_current_price" AS "i_current_price", + SUM("catalog_sales"."cs_ext_sales_price") AS "itemrevenue", + SUM("catalog_sales"."cs_ext_sales_price") * 100 / SUM(SUM("catalog_sales"."cs_ext_sales_price")) OVER (PARTITION BY "item"."i_class") AS "revenueratio" +FROM "catalog_sales" AS "catalog_sales" +JOIN "item" AS "item" + ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk" + AND "item"."i_category" IN ('Children', 'Women', 'Electronics') +JOIN "date_dim" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + AND CAST("date_dim"."d_date" AS DATE) <= CAST('2001-03-05' AS DATE) + AND CAST("date_dim"."d_date" AS DATE) >= CAST('2001-02-03' AS DATE) +GROUP BY + "item"."i_item_id", + "item"."i_item_desc", + "item"."i_category", + "item"."i_class", + "item"."i_current_price" +ORDER BY + "i_category", + "i_class", + "i_item_id", + "i_item_desc", + "revenueratio" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 21 +-------------------------------------- +SELECT + * +FROM ( + SELECT w_warehouse_name , + i_item_id , + Sum( + CASE + WHEN ( + Cast(d_date AS DATE) < Cast ('2000-05-13' AS DATE)) THEN inv_quantity_on_hand + ELSE 0 + END) AS inv_before , + Sum( + CASE + WHEN ( + Cast(d_date AS DATE) >= Cast ('2000-05-13' AS DATE)) THEN inv_quantity_on_hand + ELSE 0 + END) AS inv_after + FROM inventory , + warehouse , + item , + date_dim + WHERE i_current_price BETWEEN 0.99 AND 1.49 + AND i_item_sk = inv_item_sk + AND inv_warehouse_sk = w_warehouse_sk + AND inv_date_sk = d_date_sk + AND d_date BETWEEN (Cast ('2000-05-13' AS DATE) - INTERVAL '30' day) AND ( + cast ('2000-05-13' AS date) + INTERVAL '30' day) + GROUP BY w_warehouse_name, + i_item_id) x +WHERE ( + CASE + WHEN inv_before > 0 THEN inv_after / inv_before + ELSE NULL + END) BETWEEN 2.0/3.0 AND 3.0/2.0 +ORDER BY w_warehouse_name , + i_item_id +LIMIT 100; +WITH "x" AS ( + SELECT + "warehouse"."w_warehouse_name" AS "w_warehouse_name", + "item"."i_item_id" AS "i_item_id", + SUM( + CASE + WHEN CAST("date_dim"."d_date" AS DATE) < CAST('2000-05-13' AS DATE) + THEN "inventory"."inv_quantity_on_hand" + ELSE 0 + END + ) AS "inv_before", + SUM( + CASE + WHEN CAST("date_dim"."d_date" AS DATE) >= CAST('2000-05-13' AS DATE) + THEN "inventory"."inv_quantity_on_hand" + ELSE 0 + END + ) AS "inv_after" + FROM "inventory" AS "inventory" + JOIN "warehouse" AS "warehouse" + ON "inventory"."inv_warehouse_sk" = "warehouse"."w_warehouse_sk" + JOIN "item" AS "item" + ON "item"."i_current_price" <= 1.49 + AND "item"."i_current_price" >= 0.99 + AND "item"."i_item_sk" = "inventory"."inv_item_sk" + JOIN "date_dim" AS "date_dim" + ON "inventory"."inv_date_sk" = "date_dim"."d_date_sk" + AND CAST("date_dim"."d_date" AS DATE) <= CAST('2000-06-12' AS DATE) + AND CAST("date_dim"."d_date" AS DATE) >= CAST('2000-04-13' AS DATE) + GROUP BY + "warehouse"."w_warehouse_name", + "item"."i_item_id" +) +SELECT + "x"."w_warehouse_name" AS "w_warehouse_name", + "x"."i_item_id" AS "i_item_id", + "x"."inv_before" AS "inv_before", + "x"."inv_after" AS "inv_after" +FROM "x" AS "x" +WHERE + CASE WHEN "x"."inv_before" > 0 THEN "x"."inv_after" / "x"."inv_before" ELSE NULL END <= 1.5 + AND CASE WHEN "x"."inv_before" > 0 THEN "x"."inv_after" / "x"."inv_before" ELSE NULL END >= 0.6666666666666666666666666667 +ORDER BY + "x"."w_warehouse_name", + "x"."i_item_id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 22 +-------------------------------------- +SELECT i_product_name, + i_brand, + i_class, + i_category, + Avg(inv_quantity_on_hand) qoh +FROM inventory, + date_dim, + item, + warehouse +WHERE inv_date_sk = d_date_sk + AND inv_item_sk = i_item_sk + AND inv_warehouse_sk = w_warehouse_sk + AND d_month_seq BETWEEN 1205 AND 1205 + 11 +GROUP BY rollup( i_product_name, i_brand, i_class, i_category ) +ORDER BY qoh, + i_product_name, + i_brand, + i_class, + i_category +LIMIT 100; +SELECT + "item"."i_product_name" AS "i_product_name", + "item"."i_brand" AS "i_brand", + "item"."i_class" AS "i_class", + "item"."i_category" AS "i_category", + AVG("inventory"."inv_quantity_on_hand") AS "qoh" +FROM "inventory" AS "inventory" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_month_seq" <= 1216 + AND "date_dim"."d_month_seq" >= 1205 + AND "inventory"."inv_date_sk" = "date_dim"."d_date_sk" +JOIN "item" AS "item" + ON "inventory"."inv_item_sk" = "item"."i_item_sk" +JOIN "warehouse" AS "warehouse" + ON "inventory"."inv_warehouse_sk" = "warehouse"."w_warehouse_sk" +GROUP BY +ROLLUP ( + "item"."i_product_name", + "item"."i_brand", + "item"."i_class", + "item"."i_category" +) +ORDER BY + "qoh", + "i_product_name", + "i_brand", + "i_class", + "i_category" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 23 +-------------------------------------- +WITH frequent_ss_items + AS (SELECT Substr(i_item_desc, 1, 30) itemdesc, + i_item_sk item_sk, + d_date solddate, + Count(*) cnt + FROM store_sales, + date_dim, + item + WHERE ss_sold_date_sk = d_date_sk + AND ss_item_sk = i_item_sk + AND d_year IN ( 1998, 1998 + 1, 1998 + 2, 1998 + 3 ) + GROUP BY Substr(i_item_desc, 1, 30), + i_item_sk, + d_date + HAVING Count(*) > 4), + max_store_sales + AS (SELECT Max(csales) tpcds_cmax + FROM (SELECT c_customer_sk, + Sum(ss_quantity * ss_sales_price) csales + FROM store_sales, + customer, + date_dim + WHERE ss_customer_sk = c_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year IN ( 1998, 1998 + 1, 1998 + 2, 1998 + 3 ) + GROUP BY c_customer_sk)), + best_ss_customer + AS (SELECT c_customer_sk, + Sum(ss_quantity * ss_sales_price) ssales + FROM store_sales, + customer + WHERE ss_customer_sk = c_customer_sk + GROUP BY c_customer_sk + HAVING Sum(ss_quantity * ss_sales_price) > + ( 95 / 100.0 ) * (SELECT * + FROM max_store_sales)) +SELECT Sum(sales) +FROM (SELECT cs_quantity * cs_list_price sales + FROM catalog_sales, + date_dim + WHERE d_year = 1998 + AND d_moy = 6 + AND cs_sold_date_sk = d_date_sk + AND cs_item_sk IN (SELECT item_sk + FROM frequent_ss_items) + AND cs_bill_customer_sk IN (SELECT c_customer_sk + FROM best_ss_customer) + UNION ALL + SELECT ws_quantity * ws_list_price sales + FROM web_sales, + date_dim + WHERE d_year = 1998 + AND d_moy = 6 + AND ws_sold_date_sk = d_date_sk + AND ws_item_sk IN (SELECT item_sk + FROM frequent_ss_items) + AND ws_bill_customer_sk IN (SELECT c_customer_sk + FROM best_ss_customer)) LIMIT 100; +WITH "frequent_ss_items" AS ( + SELECT + "item"."i_item_sk" AS "item_sk" + FROM "store_sales" AS "store_sales" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" IN (1998, 1999, 2000, 2001) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "item" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + GROUP BY + SUBSTR("item"."i_item_desc", 1, 30), + "item"."i_item_sk", + "date_dim"."d_date" + HAVING + COUNT(*) > 4 +), "customer_2" AS ( + SELECT + "customer"."c_customer_sk" AS "c_customer_sk" + FROM "customer" AS "customer" +), "_q_0" AS ( + SELECT + SUM("store_sales"."ss_quantity" * "store_sales"."ss_sales_price") AS "csales" + FROM "store_sales" AS "store_sales" + JOIN "customer_2" AS "customer" + ON "store_sales"."ss_customer_sk" = "customer"."c_customer_sk" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" IN (1998, 1999, 2000, 2001) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "customer"."c_customer_sk" +), "max_store_sales" AS ( + SELECT + MAX("_q_0"."csales") AS "tpcds_cmax" + FROM "_q_0" AS "_q_0" +), "best_ss_customer" AS ( + SELECT + "customer"."c_customer_sk" AS "c_customer_sk" + FROM "store_sales" AS "store_sales" + CROSS JOIN "max_store_sales" + JOIN "customer_2" AS "customer" + ON "store_sales"."ss_customer_sk" = "customer"."c_customer_sk" + GROUP BY + "customer"."c_customer_sk" + HAVING + SUM("store_sales"."ss_quantity" * "store_sales"."ss_sales_price") > 0.95 * MAX("max_store_sales"."tpcds_cmax") +), "_u_1" AS ( + SELECT + "frequent_ss_items"."item_sk" AS "item_sk" + FROM "frequent_ss_items" + GROUP BY + "frequent_ss_items"."item_sk" +), "_u_2" AS ( + SELECT + "best_ss_customer"."c_customer_sk" AS "c_customer_sk" + FROM "best_ss_customer" + GROUP BY + "best_ss_customer"."c_customer_sk" +), "date_dim_4" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_moy" AS "d_moy" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_moy" = 6 AND "date_dim"."d_year" = 1998 +), "_q_1" AS ( + SELECT + "catalog_sales"."cs_quantity" * "catalog_sales"."cs_list_price" AS "sales" + FROM "catalog_sales" AS "catalog_sales" + LEFT JOIN "_u_1" AS "_u_1" + ON "catalog_sales"."cs_item_sk" = "_u_1"."item_sk" + LEFT JOIN "_u_2" AS "_u_2" + ON "catalog_sales"."cs_bill_customer_sk" = "_u_2"."c_customer_sk" + JOIN "date_dim_4" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + NOT "_u_1"."item_sk" IS NULL AND NOT "_u_2"."c_customer_sk" IS NULL + UNION ALL + SELECT + "web_sales"."ws_quantity" * "web_sales"."ws_list_price" AS "sales" + FROM "web_sales" AS "web_sales" + LEFT JOIN "_u_1" AS "_u_3" + ON "web_sales"."ws_item_sk" = "_u_3"."item_sk" + LEFT JOIN "_u_2" AS "_u_4" + ON "web_sales"."ws_bill_customer_sk" = "_u_4"."c_customer_sk" + JOIN "date_dim_4" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + NOT "_u_3"."item_sk" IS NULL AND NOT "_u_4"."c_customer_sk" IS NULL +) +SELECT + SUM("_q_1"."sales") AS "_col_0" +FROM "_q_1" AS "_q_1" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 24 +-------------------------------------- +WITH ssales + AS (SELECT c_last_name, + c_first_name, + s_store_name, + ca_state, + s_state, + i_color, + i_current_price, + i_manager_id, + i_units, + i_size, + Sum(ss_net_profit) netpaid + FROM store_sales, + store_returns, + store, + item, + customer, + customer_address + WHERE ss_ticket_number = sr_ticket_number + AND ss_item_sk = sr_item_sk + AND ss_customer_sk = c_customer_sk + AND ss_item_sk = i_item_sk + AND ss_store_sk = s_store_sk + AND c_birth_country = Upper(ca_country) + AND s_zip = ca_zip + AND s_market_id = 6 + GROUP BY c_last_name, + c_first_name, + s_store_name, + ca_state, + s_state, + i_color, + i_current_price, + i_manager_id, + i_units, + i_size) +SELECT c_last_name, + c_first_name, + s_store_name, + Sum(netpaid) paid +FROM ssales +WHERE i_color = 'papaya' +GROUP BY c_last_name, + c_first_name, + s_store_name +HAVING Sum(netpaid) > (SELECT 0.05 * Avg(netpaid) + FROM ssales); +WITH "ssales" AS ( + SELECT + "customer"."c_last_name" AS "c_last_name", + "customer"."c_first_name" AS "c_first_name", + "store"."s_store_name" AS "s_store_name", + "item"."i_color" AS "i_color", + SUM("store_sales"."ss_net_profit") AS "netpaid" + FROM "store_sales" AS "store_sales" + JOIN "store_returns" AS "store_returns" + ON "store_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + AND "store_sales"."ss_ticket_number" = "store_returns"."sr_ticket_number" + JOIN "store" AS "store" + ON "store"."s_market_id" = 6 AND "store_sales"."ss_store_sk" = "store"."s_store_sk" + JOIN "item" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + JOIN "customer" AS "customer" + ON "store_sales"."ss_customer_sk" = "customer"."c_customer_sk" + JOIN "customer_address" AS "customer_address" + ON "customer"."c_birth_country" = UPPER("customer_address"."ca_country") + AND "store"."s_zip" = "customer_address"."ca_zip" + GROUP BY + "customer"."c_last_name", + "customer"."c_first_name", + "store"."s_store_name", + "customer_address"."ca_state", + "store"."s_state", + "item"."i_color", + "item"."i_current_price", + "item"."i_manager_id", + "item"."i_units", + "item"."i_size" +), "_u_0" AS ( + SELECT + 0.05 * AVG("ssales"."netpaid") AS "_col_0" + FROM "ssales" +) +SELECT + "ssales"."c_last_name" AS "c_last_name", + "ssales"."c_first_name" AS "c_first_name", + "ssales"."s_store_name" AS "s_store_name", + SUM("ssales"."netpaid") AS "paid" +FROM "ssales" +CROSS JOIN "_u_0" AS "_u_0" +WHERE + "ssales"."i_color" = 'papaya' +GROUP BY + "ssales"."c_last_name", + "ssales"."c_first_name", + "ssales"."s_store_name" +HAVING + SUM("ssales"."netpaid") > MAX("_u_0"."_col_0"); + +-------------------------------------- +-- TPC-DS 25 +-------------------------------------- +SELECT i_item_id, + i_item_desc, + s_store_id, + s_store_name, + Max(ss_net_profit) AS store_sales_profit, + Max(sr_net_loss) AS store_returns_loss, + Max(cs_net_profit) AS catalog_sales_profit +FROM store_sales, + store_returns, + catalog_sales, + date_dim d1, + date_dim d2, + date_dim d3, + store, + item +WHERE d1.d_moy = 4 + AND d1.d_year = 2001 + AND d1.d_date_sk = ss_sold_date_sk + AND i_item_sk = ss_item_sk + AND s_store_sk = ss_store_sk + AND ss_customer_sk = sr_customer_sk + AND ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number + AND sr_returned_date_sk = d2.d_date_sk + AND d2.d_moy BETWEEN 4 AND 10 + AND d2.d_year = 2001 + AND sr_customer_sk = cs_bill_customer_sk + AND sr_item_sk = cs_item_sk + AND cs_sold_date_sk = d3.d_date_sk + AND d3.d_moy BETWEEN 4 AND 10 + AND d3.d_year = 2001 +GROUP BY i_item_id, + i_item_desc, + s_store_id, + s_store_name +ORDER BY i_item_id, + i_item_desc, + s_store_id, + s_store_name +LIMIT 100; +WITH "d3" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_moy" AS "d_moy" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_moy" <= 10 AND "date_dim"."d_moy" >= 4 AND "date_dim"."d_year" = 2001 +) +SELECT + "item"."i_item_id" AS "i_item_id", + "item"."i_item_desc" AS "i_item_desc", + "store"."s_store_id" AS "s_store_id", + "store"."s_store_name" AS "s_store_name", + MAX("store_sales"."ss_net_profit") AS "store_sales_profit", + MAX("store_returns"."sr_net_loss") AS "store_returns_loss", + MAX("catalog_sales"."cs_net_profit") AS "catalog_sales_profit" +FROM "store_sales" AS "store_sales" +CROSS JOIN "d3" AS "d3" +JOIN "catalog_sales" AS "catalog_sales" + ON "catalog_sales"."cs_sold_date_sk" = "d3"."d_date_sk" +JOIN "store_returns" AS "store_returns" + ON "store_returns"."sr_customer_sk" = "catalog_sales"."cs_bill_customer_sk" + AND "store_returns"."sr_item_sk" = "catalog_sales"."cs_item_sk" + AND "store_sales"."ss_customer_sk" = "store_returns"."sr_customer_sk" + AND "store_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + AND "store_sales"."ss_ticket_number" = "store_returns"."sr_ticket_number" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk" + AND "date_dim"."d_moy" = 4 + AND "date_dim"."d_year" = 2001 +JOIN "d3" AS "d2" + ON "store_returns"."sr_returned_date_sk" = "d2"."d_date_sk" +JOIN "store" AS "store" + ON "store"."s_store_sk" = "store_sales"."ss_store_sk" +JOIN "item" AS "item" + ON "item"."i_item_sk" = "store_sales"."ss_item_sk" +GROUP BY + "item"."i_item_id", + "item"."i_item_desc", + "store"."s_store_id", + "store"."s_store_name" +ORDER BY + "i_item_id", + "i_item_desc", + "s_store_id", + "s_store_name" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 26 +-------------------------------------- +SELECT i_item_id, + Avg(cs_quantity) agg1, + Avg(cs_list_price) agg2, + Avg(cs_coupon_amt) agg3, + Avg(cs_sales_price) agg4 +FROM catalog_sales, + customer_demographics, + date_dim, + item, + promotion +WHERE cs_sold_date_sk = d_date_sk + AND cs_item_sk = i_item_sk + AND cs_bill_cdemo_sk = cd_demo_sk + AND cs_promo_sk = p_promo_sk + AND cd_gender = 'F' + AND cd_marital_status = 'W' + AND cd_education_status = 'Secondary' + AND ( p_channel_email = 'N' + OR p_channel_event = 'N' ) + AND d_year = 2000 +GROUP BY i_item_id +ORDER BY i_item_id +LIMIT 100; +SELECT + "item"."i_item_id" AS "i_item_id", + AVG("catalog_sales"."cs_quantity") AS "agg1", + AVG("catalog_sales"."cs_list_price") AS "agg2", + AVG("catalog_sales"."cs_coupon_amt") AS "agg3", + AVG("catalog_sales"."cs_sales_price") AS "agg4" +FROM "catalog_sales" AS "catalog_sales" +JOIN "customer_demographics" AS "customer_demographics" + ON "catalog_sales"."cs_bill_cdemo_sk" = "customer_demographics"."cd_demo_sk" + AND "customer_demographics"."cd_education_status" = 'Secondary' + AND "customer_demographics"."cd_gender" = 'F' + AND "customer_demographics"."cd_marital_status" = 'W' +JOIN "date_dim" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + AND "date_dim"."d_year" = 2000 +JOIN "item" AS "item" + ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk" +JOIN "promotion" AS "promotion" + ON "catalog_sales"."cs_promo_sk" = "promotion"."p_promo_sk" + AND ( + "promotion"."p_channel_email" = 'N' OR "promotion"."p_channel_event" = 'N' + ) +GROUP BY + "item"."i_item_id" +ORDER BY + "i_item_id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 27 +-------------------------------------- +SELECT i_item_id, + s_state, + Grouping(s_state) g_state, + Avg(ss_quantity) agg1, + Avg(ss_list_price) agg2, + Avg(ss_coupon_amt) agg3, + Avg(ss_sales_price) agg4 +FROM store_sales, + customer_demographics, + date_dim, + store, + item +WHERE ss_sold_date_sk = d_date_sk + AND ss_item_sk = i_item_sk + AND ss_store_sk = s_store_sk + AND ss_cdemo_sk = cd_demo_sk + AND cd_gender = 'M' + AND cd_marital_status = 'D' + AND cd_education_status = 'College' + AND d_year = 2000 + AND s_state IN ( 'TN', 'TN', 'TN', 'TN', + 'TN', 'TN' ) +GROUP BY rollup ( i_item_id, s_state ) +ORDER BY i_item_id, + s_state +LIMIT 100; +SELECT + "item"."i_item_id" AS "i_item_id", + "store"."s_state" AS "s_state", + GROUPING("store"."s_state") AS "g_state", + AVG("store_sales"."ss_quantity") AS "agg1", + AVG("store_sales"."ss_list_price") AS "agg2", + AVG("store_sales"."ss_coupon_amt") AS "agg3", + AVG("store_sales"."ss_sales_price") AS "agg4" +FROM "store_sales" AS "store_sales" +JOIN "customer_demographics" AS "customer_demographics" + ON "customer_demographics"."cd_education_status" = 'College' + AND "customer_demographics"."cd_gender" = 'M' + AND "customer_demographics"."cd_marital_status" = 'D' + AND "store_sales"."ss_cdemo_sk" = "customer_demographics"."cd_demo_sk" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" = 2000 + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" +JOIN "store" AS "store" + ON "store"."s_state" IN ('TN', 'TN', 'TN', 'TN', 'TN', 'TN') + AND "store_sales"."ss_store_sk" = "store"."s_store_sk" +JOIN "item" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" +GROUP BY +ROLLUP ( + "item"."i_item_id", + "store"."s_state" +) +ORDER BY + "i_item_id", + "s_state" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 28 +-------------------------------------- +SELECT * +FROM (SELECT Avg(ss_list_price) B1_LP, + Count(ss_list_price) B1_CNT, + Count(DISTINCT ss_list_price) B1_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 0 AND 5 + AND ( ss_list_price BETWEEN 18 AND 18 + 10 + OR ss_coupon_amt BETWEEN 1939 AND 1939 + 1000 + OR ss_wholesale_cost BETWEEN 34 AND 34 + 20 )) B1, + (SELECT Avg(ss_list_price) B2_LP, + Count(ss_list_price) B2_CNT, + Count(DISTINCT ss_list_price) B2_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 6 AND 10 + AND ( ss_list_price BETWEEN 1 AND 1 + 10 + OR ss_coupon_amt BETWEEN 35 AND 35 + 1000 + OR ss_wholesale_cost BETWEEN 50 AND 50 + 20 )) B2, + (SELECT Avg(ss_list_price) B3_LP, + Count(ss_list_price) B3_CNT, + Count(DISTINCT ss_list_price) B3_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 11 AND 15 + AND ( ss_list_price BETWEEN 91 AND 91 + 10 + OR ss_coupon_amt BETWEEN 1412 AND 1412 + 1000 + OR ss_wholesale_cost BETWEEN 17 AND 17 + 20 )) B3, + (SELECT Avg(ss_list_price) B4_LP, + Count(ss_list_price) B4_CNT, + Count(DISTINCT ss_list_price) B4_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 16 AND 20 + AND ( ss_list_price BETWEEN 9 AND 9 + 10 + OR ss_coupon_amt BETWEEN 5270 AND 5270 + 1000 + OR ss_wholesale_cost BETWEEN 29 AND 29 + 20 )) B4, + (SELECT Avg(ss_list_price) B5_LP, + Count(ss_list_price) B5_CNT, + Count(DISTINCT ss_list_price) B5_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 21 AND 25 + AND ( ss_list_price BETWEEN 45 AND 45 + 10 + OR ss_coupon_amt BETWEEN 826 AND 826 + 1000 + OR ss_wholesale_cost BETWEEN 5 AND 5 + 20 )) B5, + (SELECT Avg(ss_list_price) B6_LP, + Count(ss_list_price) B6_CNT, + Count(DISTINCT ss_list_price) B6_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 26 AND 30 + AND ( ss_list_price BETWEEN 174 AND 174 + 10 + OR ss_coupon_amt BETWEEN 5548 AND 5548 + 1000 + OR ss_wholesale_cost BETWEEN 42 AND 42 + 20 )) B6 +LIMIT 100; +WITH "b1" AS ( + SELECT + AVG("store_sales"."ss_list_price") AS "b1_lp", + COUNT("store_sales"."ss_list_price") AS "b1_cnt", + COUNT(DISTINCT "store_sales"."ss_list_price") AS "b1_cntd" + FROM "store_sales" AS "store_sales" + WHERE + ( + "store_sales"."ss_coupon_amt" <= 2939 AND "store_sales"."ss_coupon_amt" >= 1939 + OR "store_sales"."ss_list_price" <= 28 AND "store_sales"."ss_list_price" >= 18 + OR "store_sales"."ss_wholesale_cost" <= 54 AND "store_sales"."ss_wholesale_cost" >= 34 + ) + AND "store_sales"."ss_quantity" <= 5 + AND "store_sales"."ss_quantity" >= 0 +), "b2" AS ( + SELECT + AVG("store_sales"."ss_list_price") AS "b2_lp", + COUNT("store_sales"."ss_list_price") AS "b2_cnt", + COUNT(DISTINCT "store_sales"."ss_list_price") AS "b2_cntd" + FROM "store_sales" AS "store_sales" + WHERE + ( + "store_sales"."ss_coupon_amt" <= 1035 AND "store_sales"."ss_coupon_amt" >= 35 + OR "store_sales"."ss_list_price" <= 11 AND "store_sales"."ss_list_price" >= 1 + OR "store_sales"."ss_wholesale_cost" <= 70 AND "store_sales"."ss_wholesale_cost" >= 50 + ) + AND "store_sales"."ss_quantity" <= 10 + AND "store_sales"."ss_quantity" >= 6 +), "b3" AS ( + SELECT + AVG("store_sales"."ss_list_price") AS "b3_lp", + COUNT("store_sales"."ss_list_price") AS "b3_cnt", + COUNT(DISTINCT "store_sales"."ss_list_price") AS "b3_cntd" + FROM "store_sales" AS "store_sales" + WHERE + ( + "store_sales"."ss_coupon_amt" <= 2412 AND "store_sales"."ss_coupon_amt" >= 1412 + OR "store_sales"."ss_list_price" <= 101 AND "store_sales"."ss_list_price" >= 91 + OR "store_sales"."ss_wholesale_cost" <= 37 AND "store_sales"."ss_wholesale_cost" >= 17 + ) + AND "store_sales"."ss_quantity" <= 15 + AND "store_sales"."ss_quantity" >= 11 +), "b4" AS ( + SELECT + AVG("store_sales"."ss_list_price") AS "b4_lp", + COUNT("store_sales"."ss_list_price") AS "b4_cnt", + COUNT(DISTINCT "store_sales"."ss_list_price") AS "b4_cntd" + FROM "store_sales" AS "store_sales" + WHERE + ( + "store_sales"."ss_coupon_amt" <= 6270 AND "store_sales"."ss_coupon_amt" >= 5270 + OR "store_sales"."ss_list_price" <= 19 AND "store_sales"."ss_list_price" >= 9 + OR "store_sales"."ss_wholesale_cost" <= 49 AND "store_sales"."ss_wholesale_cost" >= 29 + ) + AND "store_sales"."ss_quantity" <= 20 + AND "store_sales"."ss_quantity" >= 16 +), "b5" AS ( + SELECT + AVG("store_sales"."ss_list_price") AS "b5_lp", + COUNT("store_sales"."ss_list_price") AS "b5_cnt", + COUNT(DISTINCT "store_sales"."ss_list_price") AS "b5_cntd" + FROM "store_sales" AS "store_sales" + WHERE + ( + "store_sales"."ss_coupon_amt" <= 1826 AND "store_sales"."ss_coupon_amt" >= 826 + OR "store_sales"."ss_list_price" <= 55 AND "store_sales"."ss_list_price" >= 45 + OR "store_sales"."ss_wholesale_cost" <= 25 AND "store_sales"."ss_wholesale_cost" >= 5 + ) + AND "store_sales"."ss_quantity" <= 25 + AND "store_sales"."ss_quantity" >= 21 +), "b6" AS ( + SELECT + AVG("store_sales"."ss_list_price") AS "b6_lp", + COUNT("store_sales"."ss_list_price") AS "b6_cnt", + COUNT(DISTINCT "store_sales"."ss_list_price") AS "b6_cntd" + FROM "store_sales" AS "store_sales" + WHERE + ( + "store_sales"."ss_coupon_amt" <= 6548 AND "store_sales"."ss_coupon_amt" >= 5548 + OR "store_sales"."ss_list_price" <= 184 AND "store_sales"."ss_list_price" >= 174 + OR "store_sales"."ss_wholesale_cost" <= 62 AND "store_sales"."ss_wholesale_cost" >= 42 + ) + AND "store_sales"."ss_quantity" <= 30 + AND "store_sales"."ss_quantity" >= 26 +) +SELECT + "b1"."b1_lp" AS "b1_lp", + "b1"."b1_cnt" AS "b1_cnt", + "b1"."b1_cntd" AS "b1_cntd", + "b2"."b2_lp" AS "b2_lp", + "b2"."b2_cnt" AS "b2_cnt", + "b2"."b2_cntd" AS "b2_cntd", + "b3"."b3_lp" AS "b3_lp", + "b3"."b3_cnt" AS "b3_cnt", + "b3"."b3_cntd" AS "b3_cntd", + "b4"."b4_lp" AS "b4_lp", + "b4"."b4_cnt" AS "b4_cnt", + "b4"."b4_cntd" AS "b4_cntd", + "b5"."b5_lp" AS "b5_lp", + "b5"."b5_cnt" AS "b5_cnt", + "b5"."b5_cntd" AS "b5_cntd", + "b6"."b6_lp" AS "b6_lp", + "b6"."b6_cnt" AS "b6_cnt", + "b6"."b6_cntd" AS "b6_cntd" +FROM "b1" AS "b1" +CROSS JOIN "b2" AS "b2" +CROSS JOIN "b3" AS "b3" +CROSS JOIN "b4" AS "b4" +CROSS JOIN "b5" AS "b5" +CROSS JOIN "b6" AS "b6" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 29 +-------------------------------------- +SELECT i_item_id, + i_item_desc, + s_store_id, + s_store_name, + Avg(ss_quantity) AS store_sales_quantity, + Avg(sr_return_quantity) AS store_returns_quantity, + Avg(cs_quantity) AS catalog_sales_quantity +FROM store_sales, + store_returns, + catalog_sales, + date_dim d1, + date_dim d2, + date_dim d3, + store, + item +WHERE d1.d_moy = 4 + AND d1.d_year = 1998 + AND d1.d_date_sk = ss_sold_date_sk + AND i_item_sk = ss_item_sk + AND s_store_sk = ss_store_sk + AND ss_customer_sk = sr_customer_sk + AND ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number + AND sr_returned_date_sk = d2.d_date_sk + AND d2.d_moy BETWEEN 4 AND 4 + 3 + AND d2.d_year = 1998 + AND sr_customer_sk = cs_bill_customer_sk + AND sr_item_sk = cs_item_sk + AND cs_sold_date_sk = d3.d_date_sk + AND d3.d_year IN ( 1998, 1998 + 1, 1998 + 2 ) +GROUP BY i_item_id, + i_item_desc, + s_store_id, + s_store_name +ORDER BY i_item_id, + i_item_desc, + s_store_id, + s_store_name +LIMIT 100; +SELECT + "item"."i_item_id" AS "i_item_id", + "item"."i_item_desc" AS "i_item_desc", + "store"."s_store_id" AS "s_store_id", + "store"."s_store_name" AS "s_store_name", + AVG("store_sales"."ss_quantity") AS "store_sales_quantity", + AVG("store_returns"."sr_return_quantity") AS "store_returns_quantity", + AVG("catalog_sales"."cs_quantity") AS "catalog_sales_quantity" +FROM "store_sales" AS "store_sales" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" IN (1998, 1999, 2000) +JOIN "catalog_sales" AS "catalog_sales" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" +JOIN "store_returns" AS "store_returns" + ON "store_returns"."sr_customer_sk" = "catalog_sales"."cs_bill_customer_sk" + AND "store_returns"."sr_item_sk" = "catalog_sales"."cs_item_sk" + AND "store_sales"."ss_customer_sk" = "store_returns"."sr_customer_sk" + AND "store_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + AND "store_sales"."ss_ticket_number" = "store_returns"."sr_ticket_number" +JOIN "date_dim" AS "date_dim_2" + ON "date_dim_2"."d_date_sk" = "store_sales"."ss_sold_date_sk" + AND "date_dim_2"."d_moy" = 4 + AND "date_dim_2"."d_year" = 1998 +JOIN "date_dim" AS "date_dim_3" + ON "date_dim_3"."d_moy" <= 7 + AND "date_dim_3"."d_moy" >= 4 + AND "date_dim_3"."d_year" = 1998 + AND "store_returns"."sr_returned_date_sk" = "date_dim_3"."d_date_sk" +JOIN "store" AS "store" + ON "store"."s_store_sk" = "store_sales"."ss_store_sk" +JOIN "item" AS "item" + ON "item"."i_item_sk" = "store_sales"."ss_item_sk" +GROUP BY + "item"."i_item_id", + "item"."i_item_desc", + "store"."s_store_id", + "store"."s_store_name" +ORDER BY + "i_item_id", + "i_item_desc", + "s_store_id", + "s_store_name" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 30 +-------------------------------------- +WITH customer_total_return + AS (SELECT wr_returning_customer_sk AS ctr_customer_sk, + ca_state AS ctr_state, + Sum(wr_return_amt) AS ctr_total_return + FROM web_returns, + date_dim, + customer_address + WHERE wr_returned_date_sk = d_date_sk + AND d_year = 2000 + AND wr_returning_addr_sk = ca_address_sk + GROUP BY wr_returning_customer_sk, + ca_state) +SELECT c_customer_id, + c_salutation, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_day, + c_birth_month, + c_birth_year, + c_birth_country, + c_login, + c_email_address, + c_last_review_date, + ctr_total_return +FROM customer_total_return ctr1, + customer_address, + customer +WHERE ctr1.ctr_total_return > (SELECT Avg(ctr_total_return) * 1.2 + FROM customer_total_return ctr2 + WHERE ctr1.ctr_state = ctr2.ctr_state) + AND ca_address_sk = c_current_addr_sk + AND ca_state = 'IN' + AND ctr1.ctr_customer_sk = c_customer_sk +ORDER BY c_customer_id, + c_salutation, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_day, + c_birth_month, + c_birth_year, + c_birth_country, + c_login, + c_email_address, + c_last_review_date, + ctr_total_return +LIMIT 100; +WITH "customer_total_return" AS ( + SELECT + "web_returns"."wr_returning_customer_sk" AS "ctr_customer_sk", + "customer_address"."ca_state" AS "ctr_state", + SUM("web_returns"."wr_return_amt") AS "ctr_total_return" + FROM "web_returns" AS "web_returns" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" = 2000 + AND "web_returns"."wr_returned_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address" AS "customer_address" + ON "web_returns"."wr_returning_addr_sk" = "customer_address"."ca_address_sk" + GROUP BY + "web_returns"."wr_returning_customer_sk", + "customer_address"."ca_state" +), "_u_0" AS ( + SELECT + AVG("ctr2"."ctr_total_return") * 1.2 AS "_col_0", + "ctr2"."ctr_state" AS "_u_1" + FROM "customer_total_return" AS "ctr2" + GROUP BY + "ctr2"."ctr_state" +) +SELECT + "customer"."c_customer_id" AS "c_customer_id", + "customer"."c_salutation" AS "c_salutation", + "customer"."c_first_name" AS "c_first_name", + "customer"."c_last_name" AS "c_last_name", + "customer"."c_preferred_cust_flag" AS "c_preferred_cust_flag", + "customer"."c_birth_day" AS "c_birth_day", + "customer"."c_birth_month" AS "c_birth_month", + "customer"."c_birth_year" AS "c_birth_year", + "customer"."c_birth_country" AS "c_birth_country", + "customer"."c_login" AS "c_login", + "customer"."c_email_address" AS "c_email_address", + "customer"."c_last_review_date" AS "c_last_review_date", + "ctr1"."ctr_total_return" AS "ctr_total_return" +FROM "customer_total_return" AS "ctr1" +LEFT JOIN "_u_0" AS "_u_0" + ON "ctr1"."ctr_state" = "_u_0"."_u_1" +JOIN "customer" AS "customer" + ON "ctr1"."ctr_customer_sk" = "customer"."c_customer_sk" +JOIN "customer_address" AS "customer_address" + ON "customer_address"."ca_address_sk" = "customer"."c_current_addr_sk" + AND "customer_address"."ca_state" = 'IN' +WHERE + "ctr1"."ctr_total_return" > "_u_0"."_col_0" +ORDER BY + "c_customer_id", + "c_salutation", + "c_first_name", + "c_last_name", + "c_preferred_cust_flag", + "c_birth_day", + "c_birth_month", + "c_birth_year", + "c_birth_country", + "c_login", + "c_email_address", + "c_last_review_date", + "ctr_total_return" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 31 +-------------------------------------- +WITH ss + AS (SELECT ca_county, + d_qoy, + d_year, + Sum(ss_ext_sales_price) AS store_sales + FROM store_sales, + date_dim, + customer_address + WHERE ss_sold_date_sk = d_date_sk + AND ss_addr_sk = ca_address_sk + GROUP BY ca_county, + d_qoy, + d_year), + ws + AS (SELECT ca_county, + d_qoy, + d_year, + Sum(ws_ext_sales_price) AS web_sales + FROM web_sales, + date_dim, + customer_address + WHERE ws_sold_date_sk = d_date_sk + AND ws_bill_addr_sk = ca_address_sk + GROUP BY ca_county, + d_qoy, + d_year) +SELECT ss1.ca_county, + ss1.d_year, + ws2.web_sales / ws1.web_sales web_q1_q2_increase, + ss2.store_sales / ss1.store_sales store_q1_q2_increase, + ws3.web_sales / ws2.web_sales web_q2_q3_increase, + ss3.store_sales / ss2.store_sales store_q2_q3_increase +FROM ss ss1, + ss ss2, + ss ss3, + ws ws1, + ws ws2, + ws ws3 +WHERE ss1.d_qoy = 1 + AND ss1.d_year = 2001 + AND ss1.ca_county = ss2.ca_county + AND ss2.d_qoy = 2 + AND ss2.d_year = 2001 + AND ss2.ca_county = ss3.ca_county + AND ss3.d_qoy = 3 + AND ss3.d_year = 2001 + AND ss1.ca_county = ws1.ca_county + AND ws1.d_qoy = 1 + AND ws1.d_year = 2001 + AND ws1.ca_county = ws2.ca_county + AND ws2.d_qoy = 2 + AND ws2.d_year = 2001 + AND ws1.ca_county = ws3.ca_county + AND ws3.d_qoy = 3 + AND ws3.d_year = 2001 + AND CASE + WHEN ws1.web_sales > 0 THEN ws2.web_sales / ws1.web_sales + ELSE NULL + END > CASE + WHEN ss1.store_sales > 0 THEN + ss2.store_sales / ss1.store_sales + ELSE NULL + END + AND CASE + WHEN ws2.web_sales > 0 THEN ws3.web_sales / ws2.web_sales + ELSE NULL + END > CASE + WHEN ss2.store_sales > 0 THEN + ss3.store_sales / ss2.store_sales + ELSE NULL + END +ORDER BY ss1.d_year; +WITH "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_qoy" AS "d_qoy" + FROM "date_dim" AS "date_dim" +), "customer_address_2" AS ( + SELECT + "customer_address"."ca_address_sk" AS "ca_address_sk", + "customer_address"."ca_county" AS "ca_county" + FROM "customer_address" AS "customer_address" +), "ss" AS ( + SELECT + "customer_address"."ca_county" AS "ca_county", + "date_dim"."d_qoy" AS "d_qoy", + "date_dim"."d_year" AS "d_year", + SUM("store_sales"."ss_ext_sales_price") AS "store_sales" + FROM "store_sales" AS "store_sales" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + GROUP BY + "customer_address"."ca_county", + "date_dim"."d_qoy", + "date_dim"."d_year" +), "ws" AS ( + SELECT + "customer_address"."ca_county" AS "ca_county", + "date_dim"."d_qoy" AS "d_qoy", + "date_dim"."d_year" AS "d_year", + SUM("web_sales"."ws_ext_sales_price") AS "web_sales" + FROM "web_sales" AS "web_sales" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "web_sales"."ws_bill_addr_sk" = "customer_address"."ca_address_sk" + GROUP BY + "customer_address"."ca_county", + "date_dim"."d_qoy", + "date_dim"."d_year" +) +SELECT + "ss1"."ca_county" AS "ca_county", + "ss1"."d_year" AS "d_year", + "ws2"."web_sales" / "ws1"."web_sales" AS "web_q1_q2_increase", + "ss2"."store_sales" / "ss1"."store_sales" AS "store_q1_q2_increase", + "ws3"."web_sales" / "ws2"."web_sales" AS "web_q2_q3_increase", + "ss3"."store_sales" / "ss2"."store_sales" AS "store_q2_q3_increase" +FROM "ss" AS "ss1" +JOIN "ss" AS "ss2" + ON "ss1"."ca_county" = "ss2"."ca_county" AND "ss2"."d_qoy" = 2 AND "ss2"."d_year" = 2001 +JOIN "ws" AS "ws2" + ON "ws2"."d_qoy" = 2 AND "ws2"."d_year" = 2001 +JOIN "ws" AS "ws1" + ON "ss1"."ca_county" = "ws1"."ca_county" + AND "ws1"."ca_county" = "ws2"."ca_county" + AND "ws1"."d_qoy" = 1 + AND "ws1"."d_year" = 2001 + AND CASE + WHEN "ws1"."web_sales" > 0 + THEN "ws2"."web_sales" / "ws1"."web_sales" + ELSE NULL + END > CASE + WHEN "ss1"."store_sales" > 0 + THEN "ss2"."store_sales" / "ss1"."store_sales" + ELSE NULL + END +JOIN "ws" AS "ws3" + ON "ws1"."ca_county" = "ws3"."ca_county" AND "ws3"."d_qoy" = 3 AND "ws3"."d_year" = 2001 +JOIN "ss" AS "ss3" + ON "ss2"."ca_county" = "ss3"."ca_county" + AND "ss3"."d_qoy" = 3 + AND "ss3"."d_year" = 2001 + AND CASE + WHEN "ws2"."web_sales" > 0 + THEN "ws3"."web_sales" / "ws2"."web_sales" + ELSE NULL + END > CASE + WHEN "ss2"."store_sales" > 0 + THEN "ss3"."store_sales" / "ss2"."store_sales" + ELSE NULL + END +WHERE + "ss1"."d_qoy" = 1 AND "ss1"."d_year" = 2001 +ORDER BY + "ss1"."d_year"; + +-------------------------------------- +-- TPC-DS 32 +-------------------------------------- +SELECT + Sum(cs_ext_discount_amt) AS "excess discount amount" +FROM catalog_sales , + item , + date_dim +WHERE i_manufact_id = 610 +AND i_item_sk = cs_item_sk +AND d_date BETWEEN '2001-03-04' AND ( + Cast('2001-03-04' AS DATE) + INTERVAL '90' day) +AND d_date_sk = cs_sold_date_sk +AND cs_ext_discount_amt > + ( + SELECT 1.3 * avg(cs_ext_discount_amt) + FROM catalog_sales , + date_dim + WHERE cs_item_sk = i_item_sk + AND d_date BETWEEN '2001-03-04' AND ( + cast('2001-03-04' AS date) + INTERVAL '90' day) + AND d_date_sk = cs_sold_date_sk ) +LIMIT 100; +WITH "catalog_sales_2" AS ( + SELECT + "catalog_sales"."cs_sold_date_sk" AS "cs_sold_date_sk", + "catalog_sales"."cs_item_sk" AS "cs_item_sk", + "catalog_sales"."cs_ext_discount_amt" AS "cs_ext_discount_amt" + FROM "catalog_sales" AS "catalog_sales" +), "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_date" AS "d_date" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_date" >= '2001-03-04' + AND CAST("date_dim"."d_date" AS DATE) <= CAST('2001-06-02' AS DATE) +), "_u_0" AS ( + SELECT + 1.3 * AVG("catalog_sales"."cs_ext_discount_amt") AS "_col_0", + "catalog_sales"."cs_item_sk" AS "_u_1" + FROM "catalog_sales_2" AS "catalog_sales" + JOIN "date_dim_2" AS "date_dim" + ON "date_dim"."d_date_sk" = "catalog_sales"."cs_sold_date_sk" + GROUP BY + "catalog_sales"."cs_item_sk" +) +SELECT + SUM("catalog_sales"."cs_ext_discount_amt") AS "excess discount amount" +FROM "catalog_sales_2" AS "catalog_sales" +JOIN "item" AS "item" + ON "item"."i_item_sk" = "catalog_sales"."cs_item_sk" AND "item"."i_manufact_id" = 610 +LEFT JOIN "_u_0" AS "_u_0" + ON "_u_0"."_u_1" = "item"."i_item_sk" +JOIN "date_dim_2" AS "date_dim" + ON "date_dim"."d_date_sk" = "catalog_sales"."cs_sold_date_sk" +WHERE + "catalog_sales"."cs_ext_discount_amt" > "_u_0"."_col_0" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 33 +-------------------------------------- +WITH ss + AS (SELECT i_manufact_id, + Sum(ss_ext_sales_price) total_sales + FROM store_sales, + date_dim, + customer_address, + item + WHERE i_manufact_id IN (SELECT i_manufact_id + FROM item + WHERE i_category IN ( 'Books' )) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 3 + AND ss_addr_sk = ca_address_sk + AND ca_gmt_offset = -5 + GROUP BY i_manufact_id), + cs + AS (SELECT i_manufact_id, + Sum(cs_ext_sales_price) total_sales + FROM catalog_sales, + date_dim, + customer_address, + item + WHERE i_manufact_id IN (SELECT i_manufact_id + FROM item + WHERE i_category IN ( 'Books' )) + AND cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 3 + AND cs_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -5 + GROUP BY i_manufact_id), + ws + AS (SELECT i_manufact_id, + Sum(ws_ext_sales_price) total_sales + FROM web_sales, + date_dim, + customer_address, + item + WHERE i_manufact_id IN (SELECT i_manufact_id + FROM item + WHERE i_category IN ( 'Books' )) + AND ws_item_sk = i_item_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 3 + AND ws_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -5 + GROUP BY i_manufact_id) +SELECT i_manufact_id, + Sum(total_sales) total_sales +FROM (SELECT * + FROM ss + UNION ALL + SELECT * + FROM cs + UNION ALL + SELECT * + FROM ws) tmp1 +GROUP BY i_manufact_id +ORDER BY total_sales +LIMIT 100; +WITH "item_2" AS ( + SELECT + "item"."i_item_sk" AS "i_item_sk", + "item"."i_manufact_id" AS "i_manufact_id" + FROM "item" AS "item" +), "_u_0" AS ( + SELECT + "item"."i_manufact_id" AS "i_manufact_id" + FROM "item" AS "item" + WHERE + "item"."i_category" IN ('Books') + GROUP BY + "item"."i_manufact_id" +), "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_moy" AS "d_moy" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_moy" = 3 AND "date_dim"."d_year" = 1999 +), "customer_address_2" AS ( + SELECT + "customer_address"."ca_address_sk" AS "ca_address_sk", + "customer_address"."ca_gmt_offset" AS "ca_gmt_offset" + FROM "customer_address" AS "customer_address" + WHERE + "customer_address"."ca_gmt_offset" = -5 +), "ss" AS ( + SELECT + "item"."i_manufact_id" AS "i_manufact_id", + SUM("store_sales"."ss_ext_sales_price") AS "total_sales" + FROM "store_sales" AS "store_sales" + JOIN "item_2" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + LEFT JOIN "_u_0" AS "_u_0" + ON "item"."i_manufact_id" = "_u_0"."i_manufact_id" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + WHERE + NOT "_u_0"."i_manufact_id" IS NULL + GROUP BY + "item"."i_manufact_id" +), "cs" AS ( + SELECT + "item"."i_manufact_id" AS "i_manufact_id", + SUM("catalog_sales"."cs_ext_sales_price") AS "total_sales" + FROM "catalog_sales" AS "catalog_sales" + JOIN "item_2" AS "item" + ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk" + LEFT JOIN "_u_0" AS "_u_1" + ON "item"."i_manufact_id" = "_u_1"."i_manufact_id" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "catalog_sales"."cs_bill_addr_sk" = "customer_address"."ca_address_sk" + WHERE + NOT "_u_1"."i_manufact_id" IS NULL + GROUP BY + "item"."i_manufact_id" +), "ws" AS ( + SELECT + "item"."i_manufact_id" AS "i_manufact_id", + SUM("web_sales"."ws_ext_sales_price") AS "total_sales" + FROM "web_sales" AS "web_sales" + JOIN "item_2" AS "item" + ON "web_sales"."ws_item_sk" = "item"."i_item_sk" + LEFT JOIN "_u_0" AS "_u_2" + ON "item"."i_manufact_id" = "_u_2"."i_manufact_id" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "web_sales"."ws_bill_addr_sk" = "customer_address"."ca_address_sk" + WHERE + NOT "_u_2"."i_manufact_id" IS NULL + GROUP BY + "item"."i_manufact_id" +), "cte_4" AS ( + SELECT + "cs"."i_manufact_id" AS "i_manufact_id", + "cs"."total_sales" AS "total_sales" + FROM "cs" + UNION ALL + SELECT + "ws"."i_manufact_id" AS "i_manufact_id", + "ws"."total_sales" AS "total_sales" + FROM "ws" +), "tmp1" AS ( + SELECT + "ss"."i_manufact_id" AS "i_manufact_id", + "ss"."total_sales" AS "total_sales" + FROM "ss" + UNION ALL + SELECT + "cte_4"."i_manufact_id" AS "i_manufact_id", + "cte_4"."total_sales" AS "total_sales" + FROM "cte_4" AS "cte_4" +) +SELECT + "tmp1"."i_manufact_id" AS "i_manufact_id", + SUM("tmp1"."total_sales") AS "total_sales" +FROM "tmp1" AS "tmp1" +GROUP BY + "tmp1"."i_manufact_id" +ORDER BY + "total_sales" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 34 +-------------------------------------- +SELECT c_last_name, + c_first_name, + c_salutation, + c_preferred_cust_flag, + ss_ticket_number, + cnt +FROM (SELECT ss_ticket_number, + ss_customer_sk, + Count(*) cnt + FROM store_sales, + date_dim, + store, + household_demographics + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND ( date_dim.d_dom BETWEEN 1 AND 3 + OR date_dim.d_dom BETWEEN 25 AND 28 ) + AND ( household_demographics.hd_buy_potential = '>10000' + OR household_demographics.hd_buy_potential = 'unknown' ) + AND household_demographics.hd_vehicle_count > 0 + AND ( CASE + WHEN household_demographics.hd_vehicle_count > 0 THEN + household_demographics.hd_dep_count / + household_demographics.hd_vehicle_count + ELSE NULL + END ) > 1.2 + AND date_dim.d_year IN ( 1999, 1999 + 1, 1999 + 2 ) + AND store.s_county IN ( 'Williamson County', 'Williamson County', + 'Williamson County', + 'Williamson County' + , + 'Williamson County', 'Williamson County', + 'Williamson County', + 'Williamson County' + ) + GROUP BY ss_ticket_number, + ss_customer_sk) dn, + customer +WHERE ss_customer_sk = c_customer_sk + AND cnt BETWEEN 15 AND 20 +ORDER BY c_last_name, + c_first_name, + c_salutation, + c_preferred_cust_flag DESC; +WITH "dn" AS ( + SELECT + "store_sales"."ss_ticket_number" AS "ss_ticket_number", + "store_sales"."ss_customer_sk" AS "ss_customer_sk", + COUNT(*) AS "cnt" + FROM "store_sales" AS "store_sales" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" IN (1999, 2000, 2001) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + AND ( + ( + "date_dim"."d_dom" <= 28 AND "date_dim"."d_dom" >= 25 + ) + OR ( + "date_dim"."d_dom" <= 3 AND "date_dim"."d_dom" >= 1 + ) + ) + JOIN "store" AS "store" + ON "store"."s_county" IN ('Williamson County', 'Williamson County', 'Williamson County', 'Williamson County', 'Williamson County', 'Williamson County', 'Williamson County', 'Williamson County') + AND "store_sales"."ss_store_sk" = "store"."s_store_sk" + JOIN "household_demographics" AS "household_demographics" + ON ( + "household_demographics"."hd_buy_potential" = '>10000' + OR "household_demographics"."hd_buy_potential" = 'unknown' + ) + AND "household_demographics"."hd_vehicle_count" > 0 + AND "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND CASE + WHEN "household_demographics"."hd_vehicle_count" > 0 + THEN "household_demographics"."hd_dep_count" / "household_demographics"."hd_vehicle_count" + ELSE NULL + END > 1.2 + GROUP BY + "store_sales"."ss_ticket_number", + "store_sales"."ss_customer_sk" +) +SELECT + "customer"."c_last_name" AS "c_last_name", + "customer"."c_first_name" AS "c_first_name", + "customer"."c_salutation" AS "c_salutation", + "customer"."c_preferred_cust_flag" AS "c_preferred_cust_flag", + "dn"."ss_ticket_number" AS "ss_ticket_number", + "dn"."cnt" AS "cnt" +FROM "dn" AS "dn" +JOIN "customer" AS "customer" + ON "dn"."ss_customer_sk" = "customer"."c_customer_sk" +WHERE + "dn"."cnt" <= 20 AND "dn"."cnt" >= 15 +ORDER BY + "c_last_name", + "c_first_name", + "c_salutation", + "c_preferred_cust_flag" DESC; + +-------------------------------------- +-- TPC-DS 35 +-------------------------------------- +SELECT ca_state, + cd_gender, + cd_marital_status, + cd_dep_count, + Count(*) cnt1, + Stddev_samp(cd_dep_count), + Avg(cd_dep_count), + Max(cd_dep_count), + cd_dep_employed_count, + Count(*) cnt2, + Stddev_samp(cd_dep_employed_count), + Avg(cd_dep_employed_count), + Max(cd_dep_employed_count), + cd_dep_college_count, + Count(*) cnt3, + Stddev_samp(cd_dep_college_count), + Avg(cd_dep_college_count), + Max(cd_dep_college_count) +FROM customer c, + customer_address ca, + customer_demographics +WHERE c.c_current_addr_sk = ca.ca_address_sk + AND cd_demo_sk = c.c_current_cdemo_sk + AND EXISTS (SELECT * + FROM store_sales, + date_dim + WHERE c.c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 2001 + AND d_qoy < 4) + AND ( EXISTS (SELECT * + FROM web_sales, + date_dim + WHERE c.c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 2001 + AND d_qoy < 4) + OR EXISTS (SELECT * + FROM catalog_sales, + date_dim + WHERE c.c_customer_sk = cs_ship_customer_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 2001 + AND d_qoy < 4) ) +GROUP BY ca_state, + cd_gender, + cd_marital_status, + cd_dep_count, + cd_dep_employed_count, + cd_dep_college_count +ORDER BY ca_state, + cd_gender, + cd_marital_status, + cd_dep_count, + cd_dep_employed_count, + cd_dep_college_count +LIMIT 100; +WITH "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_date_id" AS "d_date_id", + "date_dim"."d_date" AS "d_date", + "date_dim"."d_month_seq" AS "d_month_seq", + "date_dim"."d_week_seq" AS "d_week_seq", + "date_dim"."d_quarter_seq" AS "d_quarter_seq", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_dow" AS "d_dow", + "date_dim"."d_moy" AS "d_moy", + "date_dim"."d_dom" AS "d_dom", + "date_dim"."d_qoy" AS "d_qoy", + "date_dim"."d_fy_year" AS "d_fy_year", + "date_dim"."d_fy_quarter_seq" AS "d_fy_quarter_seq", + "date_dim"."d_fy_week_seq" AS "d_fy_week_seq", + "date_dim"."d_day_name" AS "d_day_name", + "date_dim"."d_quarter_name" AS "d_quarter_name", + "date_dim"."d_holiday" AS "d_holiday", + "date_dim"."d_weekend" AS "d_weekend", + "date_dim"."d_following_holiday" AS "d_following_holiday", + "date_dim"."d_first_dom" AS "d_first_dom", + "date_dim"."d_last_dom" AS "d_last_dom", + "date_dim"."d_same_day_ly" AS "d_same_day_ly", + "date_dim"."d_same_day_lq" AS "d_same_day_lq", + "date_dim"."d_current_day" AS "d_current_day", + "date_dim"."d_current_week" AS "d_current_week", + "date_dim"."d_current_month" AS "d_current_month", + "date_dim"."d_current_quarter" AS "d_current_quarter", + "date_dim"."d_current_year" AS "d_current_year" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_qoy" < 4 AND "date_dim"."d_year" = 2001 +), "_u_0" AS ( + SELECT + "store_sales"."ss_customer_sk" AS "_u_1" + FROM "store_sales" AS "store_sales" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "store_sales"."ss_customer_sk" +), "_u_2" AS ( + SELECT + "web_sales"."ws_bill_customer_sk" AS "_u_3" + FROM "web_sales" AS "web_sales" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "web_sales"."ws_bill_customer_sk" +), "_u_4" AS ( + SELECT + "catalog_sales"."cs_ship_customer_sk" AS "_u_5" + FROM "catalog_sales" AS "catalog_sales" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "catalog_sales"."cs_ship_customer_sk" +) +SELECT + "customer_address"."ca_state" AS "ca_state", + "customer_demographics"."cd_gender" AS "cd_gender", + "customer_demographics"."cd_marital_status" AS "cd_marital_status", + "customer_demographics"."cd_dep_count" AS "cd_dep_count", + COUNT(*) AS "cnt1", + STDDEV_SAMP("customer_demographics"."cd_dep_count") AS "_col_5", + AVG("customer_demographics"."cd_dep_count") AS "_col_6", + MAX("customer_demographics"."cd_dep_count") AS "_col_7", + "customer_demographics"."cd_dep_employed_count" AS "cd_dep_employed_count", + COUNT(*) AS "cnt2", + STDDEV_SAMP("customer_demographics"."cd_dep_employed_count") AS "_col_10", + AVG("customer_demographics"."cd_dep_employed_count") AS "_col_11", + MAX("customer_demographics"."cd_dep_employed_count") AS "_col_12", + "customer_demographics"."cd_dep_college_count" AS "cd_dep_college_count", + COUNT(*) AS "cnt3", + STDDEV_SAMP("customer_demographics"."cd_dep_college_count") AS "_col_15", + AVG("customer_demographics"."cd_dep_college_count") AS "_col_16", + MAX("customer_demographics"."cd_dep_college_count") AS "_col_17" +FROM "customer" AS "customer" +LEFT JOIN "_u_0" AS "_u_0" + ON "customer"."c_customer_sk" = "_u_0"."_u_1" +LEFT JOIN "_u_2" AS "_u_2" + ON "customer"."c_customer_sk" = "_u_2"."_u_3" +LEFT JOIN "_u_4" AS "_u_4" + ON "customer"."c_customer_sk" = "_u_4"."_u_5" +JOIN "customer_address" AS "customer_address" + ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk" +JOIN "customer_demographics" AS "customer_demographics" + ON "customer_demographics"."cd_demo_sk" = "customer"."c_current_cdemo_sk" +WHERE + NOT "_u_0"."_u_1" IS NULL + AND ( + NOT "_u_2"."_u_3" IS NULL OR NOT "_u_4"."_u_5" IS NULL + ) +GROUP BY + "customer_address"."ca_state", + "customer_demographics"."cd_gender", + "customer_demographics"."cd_marital_status", + "customer_demographics"."cd_dep_count", + "customer_demographics"."cd_dep_employed_count", + "customer_demographics"."cd_dep_college_count" +ORDER BY + "ca_state", + "cd_gender", + "cd_marital_status", + "cd_dep_count", + "cd_dep_employed_count", + "cd_dep_college_count" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 36 +-------------------------------------- +SELECT Sum(ss_net_profit) / Sum(ss_ext_sales_price) AS + gross_margin, + i_category, + i_class, + Grouping(i_category) + Grouping(i_class) AS + lochierarchy, + Rank() + OVER ( + partition BY Grouping(i_category)+Grouping(i_class), CASE + WHEN Grouping( + i_class) = 0 THEN i_category END + ORDER BY Sum(ss_net_profit)/Sum(ss_ext_sales_price) ASC) AS + rank_within_parent +FROM store_sales, + date_dim d1, + item, + store +WHERE d1.d_year = 2000 + AND d1.d_date_sk = ss_sold_date_sk + AND i_item_sk = ss_item_sk + AND s_store_sk = ss_store_sk + AND s_state IN ( 'TN', 'TN', 'TN', 'TN', + 'TN', 'TN', 'TN', 'TN' ) +GROUP BY rollup( i_category, i_class ) +ORDER BY lochierarchy DESC, + CASE + WHEN lochierarchy = 0 THEN i_category + END, + rank_within_parent +LIMIT 100; +SELECT + SUM("store_sales"."ss_net_profit") / SUM("store_sales"."ss_ext_sales_price") AS "gross_margin", + "item"."i_category" AS "i_category", + "item"."i_class" AS "i_class", + GROUPING("item"."i_category") + GROUPING("item"."i_class") AS "lochierarchy", + RANK() OVER (PARTITION BY GROUPING("item"."i_category") + GROUPING("item"."i_class"), CASE WHEN GROUPING("item"."i_class") = 0 THEN "item"."i_category" END ORDER BY SUM("store_sales"."ss_net_profit") / SUM("store_sales"."ss_ext_sales_price")) AS "rank_within_parent" +FROM "store_sales" AS "store_sales" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk" + AND "date_dim"."d_year" = 2000 +JOIN "item" AS "item" + ON "item"."i_item_sk" = "store_sales"."ss_item_sk" +JOIN "store" AS "store" + ON "store"."s_state" IN ('TN', 'TN', 'TN', 'TN', 'TN', 'TN', 'TN', 'TN') + AND "store"."s_store_sk" = "store_sales"."ss_store_sk" +GROUP BY +ROLLUP ( + "item"."i_category", + "item"."i_class" +) +ORDER BY + "lochierarchy" DESC, + CASE WHEN "lochierarchy" = 0 THEN "item"."i_category" END, + "rank_within_parent" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 37 +-------------------------------------- +SELECT + i_item_id , + i_item_desc , + i_current_price +FROM item, + inventory, + date_dim, + catalog_sales +WHERE i_current_price BETWEEN 20 AND 20 + 30 +AND inv_item_sk = i_item_sk +AND d_date_sk=inv_date_sk +AND d_date BETWEEN Cast('1999-03-06' AS DATE) AND ( + Cast('1999-03-06' AS DATE) + INTERVAL '60' day) +AND i_manufact_id IN (843,815,850,840) +AND inv_quantity_on_hand BETWEEN 100 AND 500 +AND cs_item_sk = i_item_sk +GROUP BY i_item_id, + i_item_desc, + i_current_price +ORDER BY i_item_id +LIMIT 100; +SELECT + "item"."i_item_id" AS "i_item_id", + "item"."i_item_desc" AS "i_item_desc", + "item"."i_current_price" AS "i_current_price" +FROM "item" AS "item" +JOIN "inventory" AS "inventory" + ON "inventory"."inv_item_sk" = "item"."i_item_sk" + AND "inventory"."inv_quantity_on_hand" <= 500 + AND "inventory"."inv_quantity_on_hand" >= 100 +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_date_sk" = "inventory"."inv_date_sk" + AND CAST("date_dim"."d_date" AS DATE) <= CAST('1999-05-05' AS DATE) + AND CAST("date_dim"."d_date" AS DATE) >= CAST('1999-03-06' AS DATE) +JOIN "catalog_sales" AS "catalog_sales" + ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk" +WHERE + "item"."i_current_price" <= 50 + AND "item"."i_current_price" >= 20 + AND "item"."i_manufact_id" IN (843, 815, 850, 840) +GROUP BY + "item"."i_item_id", + "item"."i_item_desc", + "item"."i_current_price" +ORDER BY + "i_item_id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 38 +-------------------------------------- +SELECT Count(*) +FROM (SELECT DISTINCT c_last_name, + c_first_name, + d_date + FROM store_sales, + date_dim, + customer + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_customer_sk = customer.c_customer_sk + AND d_month_seq BETWEEN 1188 AND 1188 + 11 + INTERSECT + SELECT DISTINCT c_last_name, + c_first_name, + d_date + FROM catalog_sales, + date_dim, + customer + WHERE catalog_sales.cs_sold_date_sk = date_dim.d_date_sk + AND catalog_sales.cs_bill_customer_sk = customer.c_customer_sk + AND d_month_seq BETWEEN 1188 AND 1188 + 11 + INTERSECT + SELECT DISTINCT c_last_name, + c_first_name, + d_date + FROM web_sales, + date_dim, + customer + WHERE web_sales.ws_sold_date_sk = date_dim.d_date_sk + AND web_sales.ws_bill_customer_sk = customer.c_customer_sk + AND d_month_seq BETWEEN 1188 AND 1188 + 11) hot_cust +LIMIT 100; +WITH "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_date" AS "d_date", + "date_dim"."d_month_seq" AS "d_month_seq" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_month_seq" <= 1199 AND "date_dim"."d_month_seq" >= 1188 +), "customer_2" AS ( + SELECT + "customer"."c_customer_sk" AS "c_customer_sk", + "customer"."c_first_name" AS "c_first_name", + "customer"."c_last_name" AS "c_last_name" + FROM "customer" AS "customer" +), "cte" AS ( + SELECT DISTINCT + "customer"."c_last_name" AS "c_last_name", + "customer"."c_first_name" AS "c_first_name", + "date_dim"."d_date" AS "d_date" + FROM "store_sales" AS "store_sales" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_2" AS "customer" + ON "store_sales"."ss_customer_sk" = "customer"."c_customer_sk" +), "cte_2" AS ( + SELECT DISTINCT + "customer"."c_last_name" AS "c_last_name", + "customer"."c_first_name" AS "c_first_name", + "date_dim"."d_date" AS "d_date" + FROM "catalog_sales" AS "catalog_sales" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_2" AS "customer" + ON "catalog_sales"."cs_bill_customer_sk" = "customer"."c_customer_sk" +), "cte_3" AS ( + SELECT DISTINCT + "customer"."c_last_name" AS "c_last_name", + "customer"."c_first_name" AS "c_first_name", + "date_dim"."d_date" AS "d_date" + FROM "web_sales" AS "web_sales" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_2" AS "customer" + ON "web_sales"."ws_bill_customer_sk" = "customer"."c_customer_sk" +), "cte_4" AS ( + SELECT + "cte_2"."c_last_name" AS "c_last_name", + "cte_2"."c_first_name" AS "c_first_name", + "cte_2"."d_date" AS "d_date" + FROM "cte_2" AS "cte_2" + INTERSECT + SELECT + "cte_3"."c_last_name" AS "c_last_name", + "cte_3"."c_first_name" AS "c_first_name", + "cte_3"."d_date" AS "d_date" + FROM "cte_3" AS "cte_3" +), "hot_cust" AS ( + SELECT + "cte"."c_last_name" AS "c_last_name", + "cte"."c_first_name" AS "c_first_name", + "cte"."d_date" AS "d_date" + FROM "cte" AS "cte" + INTERSECT + SELECT + "cte_4"."c_last_name" AS "c_last_name", + "cte_4"."c_first_name" AS "c_first_name", + "cte_4"."d_date" AS "d_date" + FROM "cte_4" AS "cte_4" +) +SELECT + COUNT(*) AS "_col_0" +FROM "hot_cust" AS "hot_cust" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 39 +-------------------------------------- +WITH inv + AS (SELECT w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy, + stdev, + mean, + CASE mean + WHEN 0 THEN NULL + ELSE stdev / mean + END cov + FROM (SELECT w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy, + Stddev_samp(inv_quantity_on_hand) stdev, + Avg(inv_quantity_on_hand) mean + FROM inventory, + item, + warehouse, + date_dim + WHERE inv_item_sk = i_item_sk + AND inv_warehouse_sk = w_warehouse_sk + AND inv_date_sk = d_date_sk + AND d_year = 2002 + GROUP BY w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy) foo + WHERE CASE mean + WHEN 0 THEN 0 + ELSE stdev / mean + END > 1) +SELECT inv1.w_warehouse_sk, + inv1.i_item_sk, + inv1.d_moy, + inv1.mean, + inv1.cov, + inv2.w_warehouse_sk, + inv2.i_item_sk, + inv2.d_moy, + inv2.mean, + inv2.cov +FROM inv inv1, + inv inv2 +WHERE inv1.i_item_sk = inv2.i_item_sk + AND inv1.w_warehouse_sk = inv2.w_warehouse_sk + AND inv1.d_moy = 1 + AND inv2.d_moy = 1 + 1 +ORDER BY inv1.w_warehouse_sk, + inv1.i_item_sk, + inv1.d_moy, + inv1.mean, + inv1.cov, + inv2.d_moy, + inv2.mean, + inv2.cov; +WITH "foo" AS ( + SELECT + "warehouse"."w_warehouse_sk" AS "w_warehouse_sk", + "item"."i_item_sk" AS "i_item_sk", + "date_dim"."d_moy" AS "d_moy", + STDDEV_SAMP("inventory"."inv_quantity_on_hand") AS "stdev", + AVG("inventory"."inv_quantity_on_hand") AS "mean" + FROM "inventory" AS "inventory" + JOIN "item" AS "item" + ON "inventory"."inv_item_sk" = "item"."i_item_sk" + JOIN "warehouse" AS "warehouse" + ON "inventory"."inv_warehouse_sk" = "warehouse"."w_warehouse_sk" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" = 2002 AND "inventory"."inv_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "warehouse"."w_warehouse_name", + "warehouse"."w_warehouse_sk", + "item"."i_item_sk", + "date_dim"."d_moy" +), "inv" AS ( + SELECT + "foo"."w_warehouse_sk" AS "w_warehouse_sk", + "foo"."i_item_sk" AS "i_item_sk", + "foo"."d_moy" AS "d_moy", + "foo"."mean" AS "mean", + CASE "foo"."mean" WHEN 0 THEN NULL ELSE "foo"."stdev" / "foo"."mean" END AS "cov" + FROM "foo" AS "foo" + WHERE + CASE "foo"."mean" WHEN 0 THEN 0 ELSE "foo"."stdev" / "foo"."mean" END > 1 +) +SELECT + "inv1"."w_warehouse_sk" AS "w_warehouse_sk", + "inv1"."i_item_sk" AS "i_item_sk", + "inv1"."d_moy" AS "d_moy", + "inv1"."mean" AS "mean", + "inv1"."cov" AS "cov", + "inv2"."w_warehouse_sk" AS "w_warehouse_sk", + "inv2"."i_item_sk" AS "i_item_sk", + "inv2"."d_moy" AS "d_moy", + "inv2"."mean" AS "mean", + "inv2"."cov" AS "cov" +FROM "inv" AS "inv1" +JOIN "inv" AS "inv2" + ON "inv1"."i_item_sk" = "inv2"."i_item_sk" + AND "inv1"."w_warehouse_sk" = "inv2"."w_warehouse_sk" + AND "inv2"."d_moy" = 2 +WHERE + "inv1"."d_moy" = 1 +ORDER BY + "inv1"."w_warehouse_sk", + "inv1"."i_item_sk", + "inv1"."d_moy", + "inv1"."mean", + "inv1"."cov", + "inv2"."d_moy", + "inv2"."mean", + "inv2"."cov"; + +-------------------------------------- +-- TPC-DS 40 +-------------------------------------- +SELECT + w_state , + i_item_id , + Sum( + CASE + WHEN ( + Cast(d_date AS DATE) < Cast ('2002-06-01' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash,0) + ELSE 0 + END) AS sales_before , + Sum( + CASE + WHEN ( + Cast(d_date AS DATE) >= Cast ('2002-06-01' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash,0) + ELSE 0 + END) AS sales_after +FROM catalog_sales +LEFT OUTER JOIN catalog_returns +ON ( + cs_order_number = cr_order_number + AND cs_item_sk = cr_item_sk) , + warehouse , + item , + date_dim +WHERE i_current_price BETWEEN 0.99 AND 1.49 +AND i_item_sk = cs_item_sk +AND cs_warehouse_sk = w_warehouse_sk +AND cs_sold_date_sk = d_date_sk +AND d_date BETWEEN (Cast ('2002-06-01' AS DATE) - INTERVAL '30' day) AND ( + cast ('2002-06-01' AS date) + INTERVAL '30' day) +GROUP BY w_state, + i_item_id +ORDER BY w_state, + i_item_id +LIMIT 100; +SELECT + "warehouse"."w_state" AS "w_state", + "item"."i_item_id" AS "i_item_id", + SUM( + CASE + WHEN CAST("date_dim"."d_date" AS DATE) < CAST('2002-06-01' AS DATE) + THEN "catalog_sales"."cs_sales_price" - COALESCE("catalog_returns"."cr_refunded_cash", 0) + ELSE 0 + END + ) AS "sales_before", + SUM( + CASE + WHEN CAST("date_dim"."d_date" AS DATE) >= CAST('2002-06-01' AS DATE) + THEN "catalog_sales"."cs_sales_price" - COALESCE("catalog_returns"."cr_refunded_cash", 0) + ELSE 0 + END + ) AS "sales_after" +FROM "catalog_sales" AS "catalog_sales" +LEFT JOIN "catalog_returns" AS "catalog_returns" + ON "catalog_sales"."cs_item_sk" = "catalog_returns"."cr_item_sk" + AND "catalog_sales"."cs_order_number" = "catalog_returns"."cr_order_number" +JOIN "warehouse" AS "warehouse" + ON "catalog_sales"."cs_warehouse_sk" = "warehouse"."w_warehouse_sk" +JOIN "item" AS "item" + ON "item"."i_current_price" <= 1.49 + AND "item"."i_current_price" >= 0.99 + AND "item"."i_item_sk" = "catalog_sales"."cs_item_sk" +JOIN "date_dim" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + AND CAST("date_dim"."d_date" AS DATE) <= CAST('2002-07-01' AS DATE) + AND CAST("date_dim"."d_date" AS DATE) >= CAST('2002-05-02' AS DATE) +GROUP BY + "warehouse"."w_state", + "item"."i_item_id" +ORDER BY + "w_state", + "i_item_id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 41 +-------------------------------------- +SELECT Distinct(i_product_name) +FROM item i1 +WHERE i_manufact_id BETWEEN 765 AND 765 + 40 + AND (SELECT Count(*) AS item_cnt + FROM item + WHERE ( i_manufact = i1.i_manufact + AND ( ( i_category = 'Women' + AND ( i_color = 'dim' + OR i_color = 'green' ) + AND ( i_units = 'Gross' + OR i_units = 'Dozen' ) + AND ( i_size = 'economy' + OR i_size = 'petite' ) ) + OR ( i_category = 'Women' + AND ( i_color = 'navajo' + OR i_color = 'aquamarine' ) + AND ( i_units = 'Case' + OR i_units = 'Unknown' ) + AND ( i_size = 'large' + OR i_size = 'N/A' ) ) + OR ( i_category = 'Men' + AND ( i_color = 'indian' + OR i_color = 'dark' ) + AND ( i_units = 'Oz' + OR i_units = 'Lb' ) + AND ( i_size = 'extra large' + OR i_size = 'small' ) ) + OR ( i_category = 'Men' + AND ( i_color = 'peach' + OR i_color = 'purple' ) + AND ( i_units = 'Tbl' + OR i_units = 'Bunch' ) + AND ( i_size = 'economy' + OR i_size = 'petite' ) ) ) ) + OR ( i_manufact = i1.i_manufact + AND ( ( i_category = 'Women' + AND ( i_color = 'orchid' + OR i_color = 'peru' ) + AND ( i_units = 'Carton' + OR i_units = 'Cup' ) + AND ( i_size = 'economy' + OR i_size = 'petite' ) ) + OR ( i_category = 'Women' + AND ( i_color = 'violet' + OR i_color = 'papaya' ) + AND ( i_units = 'Ounce' + OR i_units = 'Box' ) + AND ( i_size = 'large' + OR i_size = 'N/A' ) ) + OR ( i_category = 'Men' + AND ( i_color = 'drab' + OR i_color = 'grey' ) + AND ( i_units = 'Each' + OR i_units = 'N/A' ) + AND ( i_size = 'extra large' + OR i_size = 'small' ) ) + OR ( i_category = 'Men' + AND ( i_color = 'chocolate' + OR i_color = 'antique' ) + AND ( i_units = 'Dram' + OR i_units = 'Gram' ) + AND ( i_size = 'economy' + OR i_size = 'petite' ) ) ) )) > 0 +ORDER BY i_product_name +LIMIT 100; +SELECT DISTINCT + "i1"."i_product_name" AS "_col_0" +FROM "item" AS "i1" +WHERE + "i1"."i_manufact_id" <= 805 + AND "i1"."i_manufact_id" >= 765 + AND ( + SELECT + COUNT(*) AS "item_cnt" + FROM "item" AS "item" + WHERE + ( + "item"."i_manufact" = "i1"."i_manufact" + AND ( + ( + "item"."i_category" = 'Men' + AND ( + "item"."i_color" = 'antique' OR "item"."i_color" = 'chocolate' + ) + AND ( + "item"."i_size" = 'economy' OR "item"."i_size" = 'petite' + ) + AND ( + "item"."i_units" = 'Dram' OR "item"."i_units" = 'Gram' + ) + ) + OR ( + "item"."i_category" = 'Men' + AND ( + "item"."i_color" = 'drab' OR "item"."i_color" = 'grey' + ) + AND ( + "item"."i_size" = 'extra large' OR "item"."i_size" = 'small' + ) + AND ( + "item"."i_units" = 'Each' OR "item"."i_units" = 'N/A' + ) + ) + OR ( + "item"."i_category" = 'Women' + AND ( + "item"."i_color" = 'orchid' OR "item"."i_color" = 'peru' + ) + AND ( + "item"."i_size" = 'economy' OR "item"."i_size" = 'petite' + ) + AND ( + "item"."i_units" = 'Carton' OR "item"."i_units" = 'Cup' + ) + ) + OR ( + "item"."i_category" = 'Women' + AND ( + "item"."i_color" = 'papaya' OR "item"."i_color" = 'violet' + ) + AND ( + "item"."i_size" = 'N/A' OR "item"."i_size" = 'large' + ) + AND ( + "item"."i_units" = 'Box' OR "item"."i_units" = 'Ounce' + ) + ) + ) + ) + OR ( + "item"."i_manufact" = "i1"."i_manufact" + AND ( + ( + "item"."i_category" = 'Men' + AND ( + "item"."i_color" = 'dark' OR "item"."i_color" = 'indian' + ) + AND ( + "item"."i_size" = 'extra large' OR "item"."i_size" = 'small' + ) + AND ( + "item"."i_units" = 'Lb' OR "item"."i_units" = 'Oz' + ) + ) + OR ( + "item"."i_category" = 'Men' + AND ( + "item"."i_color" = 'peach' OR "item"."i_color" = 'purple' + ) + AND ( + "item"."i_size" = 'economy' OR "item"."i_size" = 'petite' + ) + AND ( + "item"."i_units" = 'Bunch' OR "item"."i_units" = 'Tbl' + ) + ) + OR ( + "item"."i_category" = 'Women' + AND ( + "item"."i_color" = 'aquamarine' OR "item"."i_color" = 'navajo' + ) + AND ( + "item"."i_size" = 'N/A' OR "item"."i_size" = 'large' + ) + AND ( + "item"."i_units" = 'Case' OR "item"."i_units" = 'Unknown' + ) + ) + OR ( + "item"."i_category" = 'Women' + AND ( + "item"."i_color" = 'dim' OR "item"."i_color" = 'green' + ) + AND ( + "item"."i_size" = 'economy' OR "item"."i_size" = 'petite' + ) + AND ( + "item"."i_units" = 'Dozen' OR "item"."i_units" = 'Gross' + ) + ) + ) + ) + ) > 0 +ORDER BY + "i1"."i_product_name" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 42 +-------------------------------------- +SELECT dt.d_year, + item.i_category_id, + item.i_category, + Sum(ss_ext_sales_price) +FROM date_dim dt, + store_sales, + item +WHERE dt.d_date_sk = store_sales.ss_sold_date_sk + AND store_sales.ss_item_sk = item.i_item_sk + AND item.i_manager_id = 1 + AND dt.d_moy = 12 + AND dt.d_year = 2000 +GROUP BY dt.d_year, + item.i_category_id, + item.i_category +ORDER BY Sum(ss_ext_sales_price) DESC, + dt.d_year, + item.i_category_id, + item.i_category +LIMIT 100; +SELECT + "date_dim"."d_year" AS "d_year", + "item"."i_category_id" AS "i_category_id", + "item"."i_category" AS "i_category", + SUM("store_sales"."ss_ext_sales_price") AS "_col_3" +FROM "date_dim" AS "date_dim" +JOIN "store_sales" AS "store_sales" + ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk" +JOIN "item" AS "item" + ON "item"."i_manager_id" = 1 AND "store_sales"."ss_item_sk" = "item"."i_item_sk" +WHERE + "date_dim"."d_moy" = 12 AND "date_dim"."d_year" = 2000 +GROUP BY + "date_dim"."d_year", + "item"."i_category_id", + "item"."i_category" +ORDER BY + SUM("store_sales"."ss_ext_sales_price") DESC, + "date_dim"."d_year", + "item"."i_category_id", + "item"."i_category" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 43 +-------------------------------------- +SELECT s_store_name, + s_store_id, + Sum(CASE + WHEN ( d_day_name = 'Sunday' ) THEN ss_sales_price + ELSE NULL + END) sun_sales, + Sum(CASE + WHEN ( d_day_name = 'Monday' ) THEN ss_sales_price + ELSE NULL + END) mon_sales, + Sum(CASE + WHEN ( d_day_name = 'Tuesday' ) THEN ss_sales_price + ELSE NULL + END) tue_sales, + Sum(CASE + WHEN ( d_day_name = 'Wednesday' ) THEN ss_sales_price + ELSE NULL + END) wed_sales, + Sum(CASE + WHEN ( d_day_name = 'Thursday' ) THEN ss_sales_price + ELSE NULL + END) thu_sales, + Sum(CASE + WHEN ( d_day_name = 'Friday' ) THEN ss_sales_price + ELSE NULL + END) fri_sales, + Sum(CASE + WHEN ( d_day_name = 'Saturday' ) THEN ss_sales_price + ELSE NULL + END) sat_sales +FROM date_dim, + store_sales, + store +WHERE d_date_sk = ss_sold_date_sk + AND s_store_sk = ss_store_sk + AND s_gmt_offset = -5 + AND d_year = 2002 +GROUP BY s_store_name, + s_store_id +ORDER BY s_store_name, + s_store_id, + sun_sales, + mon_sales, + tue_sales, + wed_sales, + thu_sales, + fri_sales, + sat_sales +LIMIT 100; +SELECT + "store"."s_store_name" AS "s_store_name", + "store"."s_store_id" AS "s_store_id", + SUM( + CASE + WHEN "date_dim"."d_day_name" = 'Sunday' + THEN "store_sales"."ss_sales_price" + ELSE NULL + END + ) AS "sun_sales", + SUM( + CASE + WHEN "date_dim"."d_day_name" = 'Monday' + THEN "store_sales"."ss_sales_price" + ELSE NULL + END + ) AS "mon_sales", + SUM( + CASE + WHEN "date_dim"."d_day_name" = 'Tuesday' + THEN "store_sales"."ss_sales_price" + ELSE NULL + END + ) AS "tue_sales", + SUM( + CASE + WHEN "date_dim"."d_day_name" = 'Wednesday' + THEN "store_sales"."ss_sales_price" + ELSE NULL + END + ) AS "wed_sales", + SUM( + CASE + WHEN "date_dim"."d_day_name" = 'Thursday' + THEN "store_sales"."ss_sales_price" + ELSE NULL + END + ) AS "thu_sales", + SUM( + CASE + WHEN "date_dim"."d_day_name" = 'Friday' + THEN "store_sales"."ss_sales_price" + ELSE NULL + END + ) AS "fri_sales", + SUM( + CASE + WHEN "date_dim"."d_day_name" = 'Saturday' + THEN "store_sales"."ss_sales_price" + ELSE NULL + END + ) AS "sat_sales" +FROM "date_dim" AS "date_dim" +JOIN "store_sales" AS "store_sales" + ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk" +JOIN "store" AS "store" + ON "store"."s_gmt_offset" = -5 AND "store"."s_store_sk" = "store_sales"."ss_store_sk" +WHERE + "date_dim"."d_year" = 2002 +GROUP BY + "store"."s_store_name", + "store"."s_store_id" +ORDER BY + "s_store_name", + "s_store_id", + "sun_sales", + "mon_sales", + "tue_sales", + "wed_sales", + "thu_sales", + "fri_sales", + "sat_sales" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 44 +-------------------------------------- +SELECT asceding.rnk, + i1.i_product_name best_performing, + i2.i_product_name worst_performing +FROM (SELECT * + FROM (SELECT item_sk, + Rank() + OVER ( + ORDER BY rank_col ASC) rnk + FROM (SELECT ss_item_sk item_sk, + Avg(ss_net_profit) rank_col + FROM store_sales ss1 + WHERE ss_store_sk = 4 + GROUP BY ss_item_sk + HAVING Avg(ss_net_profit) > 0.9 * + (SELECT Avg(ss_net_profit) + rank_col + FROM store_sales + WHERE ss_store_sk = 4 + AND ss_cdemo_sk IS + NULL + GROUP BY ss_store_sk))V1) + V11 + WHERE rnk < 11) asceding, + (SELECT * + FROM (SELECT item_sk, + Rank() + OVER ( + ORDER BY rank_col DESC) rnk + FROM (SELECT ss_item_sk item_sk, + Avg(ss_net_profit) rank_col + FROM store_sales ss1 + WHERE ss_store_sk = 4 + GROUP BY ss_item_sk + HAVING Avg(ss_net_profit) > 0.9 * + (SELECT Avg(ss_net_profit) + rank_col + FROM store_sales + WHERE ss_store_sk = 4 + AND ss_cdemo_sk IS + NULL + GROUP BY ss_store_sk))V2) + V21 + WHERE rnk < 11) descending, + item i1, + item i2 +WHERE asceding.rnk = descending.rnk + AND i1.i_item_sk = asceding.item_sk + AND i2.i_item_sk = descending.item_sk +ORDER BY asceding.rnk +LIMIT 100; +WITH "_u_0" AS ( + SELECT + AVG("store_sales"."ss_net_profit") AS "rank_col" + FROM "store_sales" AS "store_sales" + WHERE + "store_sales"."ss_cdemo_sk" IS NULL AND "store_sales"."ss_store_sk" = 4 + GROUP BY + "store_sales"."ss_store_sk" +), "v1" AS ( + SELECT + "ss1"."ss_item_sk" AS "item_sk", + AVG("ss1"."ss_net_profit") AS "rank_col" + FROM "store_sales" AS "ss1" + CROSS JOIN "_u_0" AS "_u_0" + WHERE + "ss1"."ss_store_sk" = 4 + GROUP BY + "ss1"."ss_item_sk" + HAVING + AVG("ss1"."ss_net_profit") > 0.9 * MAX("_u_0"."rank_col") +), "v11" AS ( + SELECT + "v1"."item_sk" AS "item_sk", + RANK() OVER (ORDER BY "v1"."rank_col") AS "rnk" + FROM "v1" AS "v1" +), "v2" AS ( + SELECT + "ss1"."ss_item_sk" AS "item_sk", + AVG("ss1"."ss_net_profit") AS "rank_col" + FROM "store_sales" AS "ss1" + CROSS JOIN "_u_0" AS "_u_1" + WHERE + "ss1"."ss_store_sk" = 4 + GROUP BY + "ss1"."ss_item_sk" + HAVING + AVG("ss1"."ss_net_profit") > 0.9 * MAX("_u_1"."rank_col") +), "v21" AS ( + SELECT + "v2"."item_sk" AS "item_sk", + RANK() OVER (ORDER BY "v2"."rank_col" DESC) AS "rnk" + FROM "v2" AS "v2" +), "i1" AS ( + SELECT + "item"."i_item_sk" AS "i_item_sk", + "item"."i_product_name" AS "i_product_name" + FROM "item" AS "item" +) +SELECT + "v11"."rnk" AS "rnk", + "i1"."i_product_name" AS "best_performing", + "i2"."i_product_name" AS "worst_performing" +FROM "v11" AS "v11" +JOIN "v21" AS "v21" + ON "v11"."rnk" = "v21"."rnk" AND "v21"."rnk" < 11 +JOIN "i1" AS "i1" + ON "i1"."i_item_sk" = "v11"."item_sk" +JOIN "i1" AS "i2" + ON "i2"."i_item_sk" = "v21"."item_sk" +WHERE + "v11"."rnk" < 11 +ORDER BY + "v11"."rnk" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 45 +-------------------------------------- +SELECT ca_zip, + ca_state, + Sum(ws_sales_price) +FROM web_sales, + customer, + customer_address, + date_dim, + item +WHERE ws_bill_customer_sk = c_customer_sk + AND c_current_addr_sk = ca_address_sk + AND ws_item_sk = i_item_sk + AND ( Substr(ca_zip, 1, 5) IN ( '85669', '86197', '88274', '83405', + '86475', '85392', '85460', '80348', + '81792' ) + OR i_item_id IN (SELECT i_item_id + FROM item + WHERE i_item_sk IN ( 2, 3, 5, 7, + 11, 13, 17, 19, + 23, 29 )) ) + AND ws_sold_date_sk = d_date_sk + AND d_qoy = 1 + AND d_year = 2000 +GROUP BY ca_zip, + ca_state +ORDER BY ca_zip, + ca_state +LIMIT 100; +WITH "_u_0" AS ( + SELECT + "item"."i_item_id" AS "i_item_id" + FROM "item" AS "item" + WHERE + "item"."i_item_sk" IN (2, 3, 5, 7, 11, 13, 17, 19, 23, 29) + GROUP BY + "item"."i_item_id" +) +SELECT + "customer_address"."ca_zip" AS "ca_zip", + "customer_address"."ca_state" AS "ca_state", + SUM("web_sales"."ws_sales_price") AS "_col_2" +FROM "web_sales" AS "web_sales" +JOIN "item" AS "item" + ON "web_sales"."ws_item_sk" = "item"."i_item_sk" +LEFT JOIN "_u_0" AS "_u_0" + ON "item"."i_item_id" = "_u_0"."i_item_id" +JOIN "customer" AS "customer" + ON "web_sales"."ws_bill_customer_sk" = "customer"."c_customer_sk" +JOIN "customer_address" AS "customer_address" + ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_qoy" = 1 + AND "date_dim"."d_year" = 2000 + AND "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" +WHERE + NOT "_u_0"."i_item_id" IS NULL + OR SUBSTR("customer_address"."ca_zip", 1, 5) IN ('85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792') +GROUP BY + "customer_address"."ca_zip", + "customer_address"."ca_state" +ORDER BY + "ca_zip", + "ca_state" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 46 +-------------------------------------- +SELECT c_last_name, + c_first_name, + ca_city, + bought_city, + ss_ticket_number, + amt, + profit +FROM (SELECT ss_ticket_number, + ss_customer_sk, + ca_city bought_city, + Sum(ss_coupon_amt) amt, + Sum(ss_net_profit) profit + FROM store_sales, + date_dim, + store, + household_demographics, + customer_address + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND store_sales.ss_addr_sk = customer_address.ca_address_sk + AND ( household_demographics.hd_dep_count = 6 + OR household_demographics.hd_vehicle_count = 0 ) + AND date_dim.d_dow IN ( 6, 0 ) + AND date_dim.d_year IN ( 2000, 2000 + 1, 2000 + 2 ) + AND store.s_city IN ( 'Midway', 'Fairview', 'Fairview', + 'Fairview', + 'Fairview' ) + GROUP BY ss_ticket_number, + ss_customer_sk, + ss_addr_sk, + ca_city) dn, + customer, + customer_address current_addr +WHERE ss_customer_sk = c_customer_sk + AND customer.c_current_addr_sk = current_addr.ca_address_sk + AND current_addr.ca_city <> bought_city +ORDER BY c_last_name, + c_first_name, + ca_city, + bought_city, + ss_ticket_number +LIMIT 100; +WITH "customer_address_2" AS ( + SELECT + "customer_address"."ca_address_sk" AS "ca_address_sk", + "customer_address"."ca_city" AS "ca_city" + FROM "customer_address" AS "customer_address" +), "dn" AS ( + SELECT + "store_sales"."ss_ticket_number" AS "ss_ticket_number", + "store_sales"."ss_customer_sk" AS "ss_customer_sk", + "customer_address"."ca_city" AS "bought_city", + SUM("store_sales"."ss_coupon_amt") AS "amt", + SUM("store_sales"."ss_net_profit") AS "profit" + FROM "store_sales" AS "store_sales" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_dow" IN (6, 0) + AND "date_dim"."d_year" IN (2000, 2001, 2002) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store"."s_city" IN ('Midway', 'Fairview', 'Fairview', 'Fairview', 'Fairview') + AND "store_sales"."ss_store_sk" = "store"."s_store_sk" + JOIN "household_demographics" AS "household_demographics" + ON ( + "household_demographics"."hd_dep_count" = 6 + OR "household_demographics"."hd_vehicle_count" = 0 + ) + AND "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + JOIN "customer_address_2" AS "customer_address" + ON "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + GROUP BY + "store_sales"."ss_ticket_number", + "store_sales"."ss_customer_sk", + "store_sales"."ss_addr_sk", + "customer_address"."ca_city" +) +SELECT + "customer"."c_last_name" AS "c_last_name", + "customer"."c_first_name" AS "c_first_name", + "current_addr"."ca_city" AS "ca_city", + "dn"."bought_city" AS "bought_city", + "dn"."ss_ticket_number" AS "ss_ticket_number", + "dn"."amt" AS "amt", + "dn"."profit" AS "profit" +FROM "dn" AS "dn" +JOIN "customer_address_2" AS "current_addr" + ON "current_addr"."ca_city" <> "dn"."bought_city" +JOIN "customer" AS "customer" + ON "customer"."c_current_addr_sk" = "current_addr"."ca_address_sk" + AND "dn"."ss_customer_sk" = "customer"."c_customer_sk" +ORDER BY + "c_last_name", + "c_first_name", + "ca_city", + "bought_city", + "ss_ticket_number" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 47 +-------------------------------------- +WITH v1 + AS (SELECT i_category, + i_brand, + s_store_name, + s_company_name, + d_year, + d_moy, + Sum(ss_sales_price) sum_sales, + Avg(Sum(ss_sales_price)) + OVER ( + partition BY i_category, i_brand, s_store_name, + s_company_name, + d_year) + avg_monthly_sales, + Rank() + OVER ( + partition BY i_category, i_brand, s_store_name, + s_company_name + ORDER BY d_year, d_moy) rn + FROM item, + store_sales, + date_dim, + store + WHERE ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND ( d_year = 1999 + OR ( d_year = 1999 - 1 + AND d_moy = 12 ) + OR ( d_year = 1999 + 1 + AND d_moy = 1 ) ) + GROUP BY i_category, + i_brand, + s_store_name, + s_company_name, + d_year, + d_moy), + v2 + AS (SELECT v1.i_category, + v1.d_year, + v1.d_moy, + v1.avg_monthly_sales, + v1.sum_sales, + v1_lag.sum_sales psum, + v1_lead.sum_sales nsum + FROM v1, + v1 v1_lag, + v1 v1_lead + WHERE v1.i_category = v1_lag.i_category + AND v1.i_category = v1_lead.i_category + AND v1.i_brand = v1_lag.i_brand + AND v1.i_brand = v1_lead.i_brand + AND v1.s_store_name = v1_lag.s_store_name + AND v1.s_store_name = v1_lead.s_store_name + AND v1.s_company_name = v1_lag.s_company_name + AND v1.s_company_name = v1_lead.s_company_name + AND v1.rn = v1_lag.rn + 1 + AND v1.rn = v1_lead.rn - 1) +SELECT * +FROM v2 +WHERE d_year = 1999 + AND avg_monthly_sales > 0 + AND CASE + WHEN avg_monthly_sales > 0 THEN Abs(sum_sales - avg_monthly_sales) + / + avg_monthly_sales + ELSE NULL + END > 0.1 +ORDER BY sum_sales - avg_monthly_sales, + 3 +LIMIT 100; +WITH "v1" AS ( + SELECT + "item"."i_category" AS "i_category", + "item"."i_brand" AS "i_brand", + "store"."s_store_name" AS "s_store_name", + "store"."s_company_name" AS "s_company_name", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_moy" AS "d_moy", + SUM("store_sales"."ss_sales_price") AS "sum_sales", + AVG(SUM("store_sales"."ss_sales_price")) OVER (PARTITION BY "item"."i_category", "item"."i_brand", "store"."s_store_name", "store"."s_company_name", "date_dim"."d_year") AS "avg_monthly_sales", + RANK() OVER (PARTITION BY "item"."i_category", "item"."i_brand", "store"."s_store_name", "store"."s_company_name" ORDER BY "date_dim"."d_year", "date_dim"."d_moy") AS "rn" + FROM "item" AS "item" + JOIN "store_sales" AS "store_sales" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + JOIN "date_dim" AS "date_dim" + ON ( + "date_dim"."d_moy" = 1 OR "date_dim"."d_moy" = 12 OR "date_dim"."d_year" = 1999 + ) + AND ( + "date_dim"."d_moy" = 1 OR "date_dim"."d_year" = 1998 OR "date_dim"."d_year" = 1999 + ) + AND ( + "date_dim"."d_moy" = 12 OR "date_dim"."d_year" = 1999 OR "date_dim"."d_year" = 2000 + ) + AND ( + "date_dim"."d_year" = 1998 OR "date_dim"."d_year" = 1999 OR "date_dim"."d_year" = 2000 + ) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_store_sk" + GROUP BY + "item"."i_category", + "item"."i_brand", + "store"."s_store_name", + "store"."s_company_name", + "date_dim"."d_year", + "date_dim"."d_moy" +) +SELECT + "v1"."i_category" AS "i_category", + "v1"."d_year" AS "d_year", + "v1"."d_moy" AS "d_moy", + "v1"."avg_monthly_sales" AS "avg_monthly_sales", + "v1"."sum_sales" AS "sum_sales", + "v1_lag"."sum_sales" AS "psum", + "v1_lead"."sum_sales" AS "nsum" +FROM "v1" +JOIN "v1" AS "v1_lag" + ON "v1"."i_brand" = "v1_lag"."i_brand" + AND "v1"."i_category" = "v1_lag"."i_category" + AND "v1"."rn" = "v1_lag"."rn" + 1 + AND "v1"."s_company_name" = "v1_lag"."s_company_name" + AND "v1"."s_store_name" = "v1_lag"."s_store_name" +JOIN "v1" AS "v1_lead" + ON "v1"."i_brand" = "v1_lead"."i_brand" + AND "v1"."i_category" = "v1_lead"."i_category" + AND "v1"."rn" = "v1_lead"."rn" - 1 + AND "v1"."s_company_name" = "v1_lead"."s_company_name" + AND "v1"."s_store_name" = "v1_lead"."s_store_name" +WHERE + "v1"."avg_monthly_sales" > 0 + AND "v1"."d_year" = 1999 + AND CASE + WHEN "v1"."avg_monthly_sales" > 0 + THEN ABS("v1"."sum_sales" - "v1"."avg_monthly_sales") / "v1"."avg_monthly_sales" + ELSE NULL + END > 0.1 +ORDER BY + "v1"."sum_sales" - "v1"."avg_monthly_sales", + "v1"."d_moy" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 48 +-------------------------------------- +SELECT Sum (ss_quantity) +FROM store_sales, + store, + customer_demographics, + customer_address, + date_dim +WHERE s_store_sk = ss_store_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1999 + AND ( ( cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'W' + AND cd_education_status = 'Secondary' + AND ss_sales_price BETWEEN 100.00 AND 150.00 ) + OR ( cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'M' + AND cd_education_status = 'Advanced Degree' + AND ss_sales_price BETWEEN 50.00 AND 100.00 ) + OR ( cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'D' + AND cd_education_status = '2 yr Degree' + AND ss_sales_price BETWEEN 150.00 AND 200.00 ) ) + AND ( ( ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ( 'TX', 'NE', 'MO' ) + AND ss_net_profit BETWEEN 0 AND 2000 ) + OR ( ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ( 'CO', 'TN', 'ND' ) + AND ss_net_profit BETWEEN 150 AND 3000 ) + OR ( ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ( 'OK', 'PA', 'CA' ) + AND ss_net_profit BETWEEN 50 AND 25000 ) ); +SELECT + SUM("store_sales"."ss_quantity") AS "_col_0" +FROM "store_sales" AS "store_sales" +JOIN "store" AS "store" + ON "store"."s_store_sk" = "store_sales"."ss_store_sk" +JOIN "customer_demographics" AS "customer_demographics" + ON ( + "customer_demographics"."cd_demo_sk" = "store_sales"."ss_cdemo_sk" + AND "customer_demographics"."cd_education_status" = '2 yr Degree' + AND "customer_demographics"."cd_marital_status" = 'D' + AND "store_sales"."ss_sales_price" <= 200.00 + AND "store_sales"."ss_sales_price" >= 150.00 + ) + OR ( + "customer_demographics"."cd_demo_sk" = "store_sales"."ss_cdemo_sk" + AND "customer_demographics"."cd_education_status" = 'Advanced Degree' + AND "customer_demographics"."cd_marital_status" = 'M' + AND "store_sales"."ss_sales_price" <= 100.00 + AND "store_sales"."ss_sales_price" >= 50.00 + ) + OR ( + "customer_demographics"."cd_demo_sk" = "store_sales"."ss_cdemo_sk" + AND "customer_demographics"."cd_education_status" = 'Secondary' + AND "customer_demographics"."cd_marital_status" = 'W' + AND "store_sales"."ss_sales_price" <= 150.00 + AND "store_sales"."ss_sales_price" >= 100.00 + ) +JOIN "customer_address" AS "customer_address" + ON ( + "customer_address"."ca_country" = 'United States' + AND "customer_address"."ca_state" IN ('CO', 'TN', 'ND') + AND "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + AND "store_sales"."ss_net_profit" <= 3000 + AND "store_sales"."ss_net_profit" >= 150 + ) + OR ( + "customer_address"."ca_country" = 'United States' + AND "customer_address"."ca_state" IN ('OK', 'PA', 'CA') + AND "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + AND "store_sales"."ss_net_profit" <= 25000 + AND "store_sales"."ss_net_profit" >= 50 + ) + OR ( + "customer_address"."ca_country" = 'United States' + AND "customer_address"."ca_state" IN ('TX', 'NE', 'MO') + AND "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + AND "store_sales"."ss_net_profit" <= 2000 + AND "store_sales"."ss_net_profit" >= 0 + ) +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" = 1999 + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk"; + +-------------------------------------- +-- TPC-DS 49 +-------------------------------------- +SELECT 'web' AS channel, + web.item, + web.return_ratio, + web.return_rank, + web.currency_rank +FROM (SELECT item, + return_ratio, + currency_ratio, + Rank() + OVER ( + ORDER BY return_ratio) AS return_rank, + Rank() + OVER ( + ORDER BY currency_ratio) AS currency_rank + FROM (SELECT ws.ws_item_sk AS + item, + ( Cast(Sum(COALESCE(wr.wr_return_quantity, 0)) AS DEC(15, + 4)) / + Cast( + Sum(COALESCE(ws.ws_quantity, 0)) AS DEC(15, 4)) ) AS + return_ratio, + ( Cast(Sum(COALESCE(wr.wr_return_amt, 0)) AS DEC(15, 4)) + / Cast( + Sum( + COALESCE(ws.ws_net_paid, 0)) AS DEC(15, + 4)) ) AS + currency_ratio + FROM web_sales ws + LEFT OUTER JOIN web_returns wr + ON ( ws.ws_order_number = wr.wr_order_number + AND ws.ws_item_sk = wr.wr_item_sk ), + date_dim + WHERE wr.wr_return_amt > 10000 + AND ws.ws_net_profit > 1 + AND ws.ws_net_paid > 0 + AND ws.ws_quantity > 0 + AND ws_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 12 + GROUP BY ws.ws_item_sk) in_web) web +WHERE ( web.return_rank <= 10 + OR web.currency_rank <= 10 ) +UNION +SELECT 'catalog' AS channel, + catalog.item, + catalog.return_ratio, + catalog.return_rank, + catalog.currency_rank +FROM (SELECT item, + return_ratio, + currency_ratio, + Rank() + OVER ( + ORDER BY return_ratio) AS return_rank, + Rank() + OVER ( + ORDER BY currency_ratio) AS currency_rank + FROM (SELECT cs.cs_item_sk AS + item, + ( Cast(Sum(COALESCE(cr.cr_return_quantity, 0)) AS DEC(15, + 4)) / + Cast( + Sum(COALESCE(cs.cs_quantity, 0)) AS DEC(15, 4)) ) AS + return_ratio, + ( Cast(Sum(COALESCE(cr.cr_return_amount, 0)) AS DEC(15, 4 + )) / + Cast(Sum( + COALESCE(cs.cs_net_paid, 0)) AS DEC( + 15, 4)) ) AS + currency_ratio + FROM catalog_sales cs + LEFT OUTER JOIN catalog_returns cr + ON ( cs.cs_order_number = cr.cr_order_number + AND cs.cs_item_sk = cr.cr_item_sk ), + date_dim + WHERE cr.cr_return_amount > 10000 + AND cs.cs_net_profit > 1 + AND cs.cs_net_paid > 0 + AND cs.cs_quantity > 0 + AND cs_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 12 + GROUP BY cs.cs_item_sk) in_cat) catalog +WHERE ( catalog.return_rank <= 10 + OR catalog.currency_rank <= 10 ) +UNION +SELECT 'store' AS channel, + store.item, + store.return_ratio, + store.return_rank, + store.currency_rank +FROM (SELECT item, + return_ratio, + currency_ratio, + Rank() + OVER ( + ORDER BY return_ratio) AS return_rank, + Rank() + OVER ( + ORDER BY currency_ratio) AS currency_rank + FROM (SELECT sts.ss_item_sk AS + item, + ( Cast(Sum(COALESCE(sr.sr_return_quantity, 0)) AS DEC(15, + 4)) / + Cast( + Sum(COALESCE(sts.ss_quantity, 0)) AS DEC(15, 4)) ) AS + return_ratio, + ( Cast(Sum(COALESCE(sr.sr_return_amt, 0)) AS DEC(15, 4)) + / Cast( + Sum( + COALESCE(sts.ss_net_paid, 0)) AS DEC(15, 4)) ) AS + currency_ratio + FROM store_sales sts + LEFT OUTER JOIN store_returns sr + ON ( sts.ss_ticket_number = + sr.sr_ticket_number + AND sts.ss_item_sk = sr.sr_item_sk ), + date_dim + WHERE sr.sr_return_amt > 10000 + AND sts.ss_net_profit > 1 + AND sts.ss_net_paid > 0 + AND sts.ss_quantity > 0 + AND ss_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 12 + GROUP BY sts.ss_item_sk) in_store) store +WHERE ( store.return_rank <= 10 + OR store.currency_rank <= 10 ) +ORDER BY 1, + 4, + 5 +LIMIT 100; +WITH "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_moy" AS "d_moy" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_moy" = 12 AND "date_dim"."d_year" = 1999 +), "in_web" AS ( + SELECT + "web_sales"."ws_item_sk" AS "item", + CAST(SUM(COALESCE("web_returns"."wr_return_quantity", 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE("web_sales"."ws_quantity", 0)) AS DECIMAL(15, 4)) AS "return_ratio", + CAST(SUM(COALESCE("web_returns"."wr_return_amt", 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE("web_sales"."ws_net_paid", 0)) AS DECIMAL(15, 4)) AS "currency_ratio" + FROM "web_sales" AS "web_sales" + LEFT JOIN "web_returns" AS "web_returns" + ON "web_sales"."ws_item_sk" = "web_returns"."wr_item_sk" + AND "web_sales"."ws_order_number" = "web_returns"."wr_order_number" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + "web_returns"."wr_return_amt" > 10000 + AND "web_sales"."ws_net_paid" > 0 + AND "web_sales"."ws_net_profit" > 1 + AND "web_sales"."ws_quantity" > 0 + GROUP BY + "web_sales"."ws_item_sk" +), "web" AS ( + SELECT + "in_web"."item" AS "item", + "in_web"."return_ratio" AS "return_ratio", + RANK() OVER (ORDER BY "in_web"."return_ratio") AS "return_rank", + RANK() OVER (ORDER BY "in_web"."currency_ratio") AS "currency_rank" + FROM "in_web" AS "in_web" +), "in_cat" AS ( + SELECT + "catalog_sales"."cs_item_sk" AS "item", + CAST(SUM(COALESCE("catalog_returns"."cr_return_quantity", 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE("catalog_sales"."cs_quantity", 0)) AS DECIMAL(15, 4)) AS "return_ratio", + CAST(SUM(COALESCE("catalog_returns"."cr_return_amount", 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE("catalog_sales"."cs_net_paid", 0)) AS DECIMAL(15, 4)) AS "currency_ratio" + FROM "catalog_sales" AS "catalog_sales" + LEFT JOIN "catalog_returns" AS "catalog_returns" + ON "catalog_sales"."cs_item_sk" = "catalog_returns"."cr_item_sk" + AND "catalog_sales"."cs_order_number" = "catalog_returns"."cr_order_number" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + "catalog_returns"."cr_return_amount" > 10000 + AND "catalog_sales"."cs_net_paid" > 0 + AND "catalog_sales"."cs_net_profit" > 1 + AND "catalog_sales"."cs_quantity" > 0 + GROUP BY + "catalog_sales"."cs_item_sk" +), "catalog" AS ( + SELECT + "in_cat"."item" AS "item", + "in_cat"."return_ratio" AS "return_ratio", + RANK() OVER (ORDER BY "in_cat"."return_ratio") AS "return_rank", + RANK() OVER (ORDER BY "in_cat"."currency_ratio") AS "currency_rank" + FROM "in_cat" AS "in_cat" +), "in_store" AS ( + SELECT + "store_sales"."ss_item_sk" AS "item", + CAST(SUM(COALESCE("store_returns"."sr_return_quantity", 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE("store_sales"."ss_quantity", 0)) AS DECIMAL(15, 4)) AS "return_ratio", + CAST(SUM(COALESCE("store_returns"."sr_return_amt", 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE("store_sales"."ss_net_paid", 0)) AS DECIMAL(15, 4)) AS "currency_ratio" + FROM "store_sales" AS "store_sales" + LEFT JOIN "store_returns" AS "store_returns" + ON "store_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + AND "store_sales"."ss_ticket_number" = "store_returns"."sr_ticket_number" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + "store_returns"."sr_return_amt" > 10000 + AND "store_sales"."ss_net_paid" > 0 + AND "store_sales"."ss_net_profit" > 1 + AND "store_sales"."ss_quantity" > 0 + GROUP BY + "store_sales"."ss_item_sk" +), "store" AS ( + SELECT + "in_store"."item" AS "item", + "in_store"."return_ratio" AS "return_ratio", + RANK() OVER (ORDER BY "in_store"."return_ratio") AS "return_rank", + RANK() OVER (ORDER BY "in_store"."currency_ratio") AS "currency_rank" + FROM "in_store" AS "in_store" +), "cte_3" AS ( + SELECT + 'store' AS "channel", + "store"."item" AS "item", + "store"."return_ratio" AS "return_ratio", + "store"."return_rank" AS "return_rank", + "store"."currency_rank" AS "currency_rank" + FROM "store" AS "store" + WHERE + "store"."currency_rank" <= 10 OR "store"."return_rank" <= 10 + ORDER BY + 'store', + "store"."return_rank", + "store"."currency_rank" + LIMIT 100 +), "cte_4" AS ( + SELECT + 'catalog' AS "channel", + "catalog"."item" AS "item", + "catalog"."return_ratio" AS "return_ratio", + "catalog"."return_rank" AS "return_rank", + "catalog"."currency_rank" AS "currency_rank" + FROM "catalog" AS "catalog" + WHERE + "catalog"."currency_rank" <= 10 OR "catalog"."return_rank" <= 10 + UNION + SELECT + "cte_3"."channel" AS "channel", + "cte_3"."item" AS "item", + "cte_3"."return_ratio" AS "return_ratio", + "cte_3"."return_rank" AS "return_rank", + "cte_3"."currency_rank" AS "currency_rank" + FROM "cte_3" AS "cte_3" +) +SELECT + 'web' AS "channel", + "web"."item" AS "item", + "web"."return_ratio" AS "return_ratio", + "web"."return_rank" AS "return_rank", + "web"."currency_rank" AS "currency_rank" +FROM "web" AS "web" +WHERE + "web"."currency_rank" <= 10 OR "web"."return_rank" <= 10 +UNION +SELECT + "cte_4"."channel" AS "channel", + "cte_4"."item" AS "item", + "cte_4"."return_ratio" AS "return_ratio", + "cte_4"."return_rank" AS "return_rank", + "cte_4"."currency_rank" AS "currency_rank" +FROM "cte_4" AS "cte_4"; + +-------------------------------------- +-- TPC-DS 50 +-------------------------------------- +SELECT s_store_name, + s_company_id, + s_street_number, + s_street_name, + s_street_type, + s_suite_number, + s_city, + s_county, + s_state, + s_zip, + Sum(CASE + WHEN ( sr_returned_date_sk - ss_sold_date_sk <= 30 ) THEN 1 + ELSE 0 + END) AS "30 days", + Sum(CASE + WHEN ( sr_returned_date_sk - ss_sold_date_sk > 30 ) + AND ( sr_returned_date_sk - ss_sold_date_sk <= 60 ) + THEN 1 + ELSE 0 + END) AS "31-60 days", + Sum(CASE + WHEN ( sr_returned_date_sk - ss_sold_date_sk > 60 ) + AND ( sr_returned_date_sk - ss_sold_date_sk <= 90 ) + THEN 1 + ELSE 0 + END) AS "61-90 days", + Sum(CASE + WHEN ( sr_returned_date_sk - ss_sold_date_sk > 90 ) + AND ( sr_returned_date_sk - ss_sold_date_sk <= 120 ) + THEN 1 + ELSE 0 + END) AS "91-120 days", + Sum(CASE + WHEN ( sr_returned_date_sk - ss_sold_date_sk > 120 ) THEN 1 + ELSE 0 + END) AS ">120 days" +FROM store_sales, + store_returns, + store, + date_dim d1, + date_dim d2 +WHERE d2.d_year = 2002 + AND d2.d_moy = 9 + AND ss_ticket_number = sr_ticket_number + AND ss_item_sk = sr_item_sk + AND ss_sold_date_sk = d1.d_date_sk + AND sr_returned_date_sk = d2.d_date_sk + AND ss_customer_sk = sr_customer_sk + AND ss_store_sk = s_store_sk +GROUP BY s_store_name, + s_company_id, + s_street_number, + s_street_name, + s_street_type, + s_suite_number, + s_city, + s_county, + s_state, + s_zip +ORDER BY s_store_name, + s_company_id, + s_street_number, + s_street_name, + s_street_type, + s_suite_number, + s_city, + s_county, + s_state, + s_zip +LIMIT 100; +SELECT + "store"."s_store_name" AS "s_store_name", + "store"."s_company_id" AS "s_company_id", + "store"."s_street_number" AS "s_street_number", + "store"."s_street_name" AS "s_street_name", + "store"."s_street_type" AS "s_street_type", + "store"."s_suite_number" AS "s_suite_number", + "store"."s_city" AS "s_city", + "store"."s_county" AS "s_county", + "store"."s_state" AS "s_state", + "store"."s_zip" AS "s_zip", + SUM( + CASE + WHEN "store_returns"."sr_returned_date_sk" - "store_sales"."ss_sold_date_sk" <= 30 + THEN 1 + ELSE 0 + END + ) AS "30 days", + SUM( + CASE + WHEN "store_returns"."sr_returned_date_sk" - "store_sales"."ss_sold_date_sk" <= 60 + AND "store_returns"."sr_returned_date_sk" - "store_sales"."ss_sold_date_sk" > 30 + THEN 1 + ELSE 0 + END + ) AS "31-60 days", + SUM( + CASE + WHEN "store_returns"."sr_returned_date_sk" - "store_sales"."ss_sold_date_sk" <= 90 + AND "store_returns"."sr_returned_date_sk" - "store_sales"."ss_sold_date_sk" > 60 + THEN 1 + ELSE 0 + END + ) AS "61-90 days", + SUM( + CASE + WHEN "store_returns"."sr_returned_date_sk" - "store_sales"."ss_sold_date_sk" <= 120 + AND "store_returns"."sr_returned_date_sk" - "store_sales"."ss_sold_date_sk" > 90 + THEN 1 + ELSE 0 + END + ) AS "91-120 days", + SUM( + CASE + WHEN "store_returns"."sr_returned_date_sk" - "store_sales"."ss_sold_date_sk" > 120 + THEN 1 + ELSE 0 + END + ) AS ">120 days" +FROM "store_sales" AS "store_sales" +JOIN "store_returns" AS "store_returns" + ON "store_sales"."ss_customer_sk" = "store_returns"."sr_customer_sk" + AND "store_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + AND "store_sales"."ss_ticket_number" = "store_returns"."sr_ticket_number" +JOIN "store" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_store_sk" +JOIN "date_dim" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" +JOIN "date_dim" AS "date_dim_2" + ON "date_dim_2"."d_moy" = 9 + AND "date_dim_2"."d_year" = 2002 + AND "store_returns"."sr_returned_date_sk" = "date_dim_2"."d_date_sk" +GROUP BY + "store"."s_store_name", + "store"."s_company_id", + "store"."s_street_number", + "store"."s_street_name", + "store"."s_street_type", + "store"."s_suite_number", + "store"."s_city", + "store"."s_county", + "store"."s_state", + "store"."s_zip" +ORDER BY + "s_store_name", + "s_company_id", + "s_street_number", + "s_street_name", + "s_street_type", + "s_suite_number", + "s_city", + "s_county", + "s_state", + "s_zip" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 51 +-------------------------------------- +WITH web_v1 AS +( + SELECT ws_item_sk item_sk, + d_date, + sum(Sum(ws_sales_price)) OVER (partition BY ws_item_sk ORDER BY d_date rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) cume_sales + FROM web_sales , + date_dim + WHERE ws_sold_date_sk=d_date_sk + AND d_month_seq BETWEEN 1192 AND 1192+11 + AND ws_item_sk IS NOT NULL + GROUP BY ws_item_sk, + d_date), store_v1 AS +( + SELECT ss_item_sk item_sk, + d_date, + sum(sum(ss_sales_price)) OVER (partition BY ss_item_sk ORDER BY d_date rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) cume_sales + FROM store_sales , + date_dim + WHERE ss_sold_date_sk=d_date_sk + AND d_month_seq BETWEEN 1192 AND 1192+11 + AND ss_item_sk IS NOT NULL + GROUP BY ss_item_sk, + d_date) +SELECT + * +FROM ( + SELECT item_sk , + d_date , + web_sales , + store_sales , + max(web_sales) OVER (partition BY item_sk ORDER BY d_date rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) web_cumulative , + max(store_sales) OVER (partition BY item_sk ORDER BY d_date rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) store_cumulative + FROM ( + SELECT + CASE + WHEN web.item_sk IS NOT NULL THEN web.item_sk + ELSE store.item_sk + END item_sk , + CASE + WHEN web.d_date IS NOT NULL THEN web.d_date + ELSE store.d_date + END d_date , + web.cume_sales web_sales , + store.cume_sales store_sales + FROM web_v1 web + FULL OUTER JOIN store_v1 store + ON ( + web.item_sk = store.item_sk + AND web.d_date = store.d_date) )x )y +WHERE web_cumulative > store_cumulative +ORDER BY item_sk , + d_date +LIMIT 100; +WITH "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_date" AS "d_date", + "date_dim"."d_month_seq" AS "d_month_seq" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_month_seq" <= 1203 AND "date_dim"."d_month_seq" >= 1192 +), "web_v1" AS ( + SELECT + "web_sales"."ws_item_sk" AS "item_sk", + "date_dim"."d_date" AS "d_date", + SUM(SUM("web_sales"."ws_sales_price")) OVER (PARTITION BY "web_sales"."ws_item_sk" ORDER BY "date_dim"."d_date" rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) AS "cume_sales" + FROM "web_sales" AS "web_sales" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + NOT "web_sales"."ws_item_sk" IS NULL + GROUP BY + "web_sales"."ws_item_sk", + "date_dim"."d_date" +), "store_v1" AS ( + SELECT + "store_sales"."ss_item_sk" AS "item_sk", + "date_dim"."d_date" AS "d_date", + SUM(SUM("store_sales"."ss_sales_price")) OVER (PARTITION BY "store_sales"."ss_item_sk" ORDER BY "date_dim"."d_date" rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) AS "cume_sales" + FROM "store_sales" AS "store_sales" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + NOT "store_sales"."ss_item_sk" IS NULL + GROUP BY + "store_sales"."ss_item_sk", + "date_dim"."d_date" +), "y" AS ( + SELECT + CASE + WHEN NOT "web"."item_sk" IS NULL + THEN "web"."item_sk" + ELSE "store"."item_sk" + END AS "item_sk", + CASE WHEN NOT "web"."d_date" IS NULL THEN "web"."d_date" ELSE "store"."d_date" END AS "d_date", + "web"."cume_sales" AS "web_sales", + "store"."cume_sales" AS "store_sales", + MAX("web"."cume_sales") OVER (PARTITION BY CASE + WHEN NOT "web"."item_sk" IS NULL + THEN "web"."item_sk" + ELSE "store"."item_sk" + END ORDER BY CASE WHEN NOT "web"."d_date" IS NULL THEN "web"."d_date" ELSE "store"."d_date" END rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) AS "web_cumulative", + MAX("store"."cume_sales") OVER (PARTITION BY CASE + WHEN NOT "web"."item_sk" IS NULL + THEN "web"."item_sk" + ELSE "store"."item_sk" + END ORDER BY CASE WHEN NOT "web"."d_date" IS NULL THEN "web"."d_date" ELSE "store"."d_date" END rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) AS "store_cumulative" + FROM "web_v1" AS "web" + FULL JOIN "store_v1" AS "store" + ON "web"."d_date" = "store"."d_date" AND "web"."item_sk" = "store"."item_sk" +) +SELECT + "y"."item_sk" AS "item_sk", + "y"."d_date" AS "d_date", + "y"."web_sales" AS "web_sales", + "y"."store_sales" AS "store_sales", + "y"."web_cumulative" AS "web_cumulative", + "y"."store_cumulative" AS "store_cumulative" +FROM "y" AS "y" +WHERE + "y"."web_cumulative" > "y"."store_cumulative" +ORDER BY + "y"."item_sk", + "y"."d_date" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 52 +-------------------------------------- +SELECT dt.d_year, + item.i_brand_id brand_id, + item.i_brand brand, + Sum(ss_ext_sales_price) ext_price +FROM date_dim dt, + store_sales, + item +WHERE dt.d_date_sk = store_sales.ss_sold_date_sk + AND store_sales.ss_item_sk = item.i_item_sk + AND item.i_manager_id = 1 + AND dt.d_moy = 11 + AND dt.d_year = 1999 +GROUP BY dt.d_year, + item.i_brand, + item.i_brand_id +ORDER BY dt.d_year, + ext_price DESC, + brand_id +LIMIT 100; +SELECT + "date_dim"."d_year" AS "d_year", + "item"."i_brand_id" AS "brand_id", + "item"."i_brand" AS "brand", + SUM("store_sales"."ss_ext_sales_price") AS "ext_price" +FROM "date_dim" AS "date_dim" +JOIN "store_sales" AS "store_sales" + ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk" +JOIN "item" AS "item" + ON "item"."i_manager_id" = 1 AND "store_sales"."ss_item_sk" = "item"."i_item_sk" +WHERE + "date_dim"."d_moy" = 11 AND "date_dim"."d_year" = 1999 +GROUP BY + "date_dim"."d_year", + "item"."i_brand", + "item"."i_brand_id" +ORDER BY + "date_dim"."d_year", + "ext_price" DESC, + "brand_id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 53 +-------------------------------------- +SELECT * +FROM (SELECT i_manufact_id, + Sum(ss_sales_price) sum_sales, + Avg(Sum(ss_sales_price)) + OVER ( + partition BY i_manufact_id) avg_quarterly_sales + FROM item, + store_sales, + date_dim, + store + WHERE ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND d_month_seq IN ( 1199, 1199 + 1, 1199 + 2, 1199 + 3, + 1199 + 4, 1199 + 5, 1199 + 6, 1199 + 7, + 1199 + 8, 1199 + 9, 1199 + 10, 1199 + 11 ) + AND ( ( i_category IN ( 'Books', 'Children', 'Electronics' ) + AND i_class IN ( 'personal', 'portable', 'reference', + 'self-help' ) + AND i_brand IN ( 'scholaramalgamalg #14', + 'scholaramalgamalg #7' + , + 'exportiunivamalg #9', + 'scholaramalgamalg #9' ) + ) + OR ( i_category IN ( 'Women', 'Music', 'Men' ) + AND i_class IN ( 'accessories', 'classical', + 'fragrances', + 'pants' ) + AND i_brand IN ( 'amalgimporto #1', + 'edu packscholar #1', + 'exportiimporto #1', + 'importoamalg #1' ) ) ) + GROUP BY i_manufact_id, + d_qoy) tmp1 +WHERE CASE + WHEN avg_quarterly_sales > 0 THEN Abs (sum_sales - avg_quarterly_sales) + / + avg_quarterly_sales + ELSE NULL + END > 0.1 +ORDER BY avg_quarterly_sales, + sum_sales, + i_manufact_id +LIMIT 100; +WITH "tmp1" AS ( + SELECT + "item"."i_manufact_id" AS "i_manufact_id", + SUM("store_sales"."ss_sales_price") AS "sum_sales", + AVG(SUM("store_sales"."ss_sales_price")) OVER (PARTITION BY "item"."i_manufact_id") AS "avg_quarterly_sales" + FROM "item" AS "item" + JOIN "store_sales" AS "store_sales" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_month_seq" IN (1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_store_sk" + WHERE + ( + "item"."i_brand" IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1') + OR "item"."i_brand" IN ('scholaramalgamalg #14', 'scholaramalgamalg #7', 'exportiunivamalg #9', 'scholaramalgamalg #9') + ) + AND ( + "item"."i_brand" IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1') + OR "item"."i_category" IN ('Books', 'Children', 'Electronics') + ) + AND ( + "item"."i_brand" IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1') + OR "item"."i_class" IN ('personal', 'portable', 'reference', 'self-help') + ) + AND ( + "item"."i_category" IN ('Books', 'Children', 'Electronics') + OR "item"."i_category" IN ('Women', 'Music', 'Men') + ) + AND ( + "item"."i_category" IN ('Books', 'Children', 'Electronics') + OR "item"."i_class" IN ('accessories', 'classical', 'fragrances', 'pants') + ) + AND ( + "item"."i_category" IN ('Women', 'Music', 'Men') + OR "item"."i_class" IN ('personal', 'portable', 'reference', 'self-help') + ) + AND ( + "item"."i_class" IN ('accessories', 'classical', 'fragrances', 'pants') + OR "item"."i_class" IN ('personal', 'portable', 'reference', 'self-help') + ) + GROUP BY + "item"."i_manufact_id", + "date_dim"."d_qoy" +) +SELECT + "tmp1"."i_manufact_id" AS "i_manufact_id", + "tmp1"."sum_sales" AS "sum_sales", + "tmp1"."avg_quarterly_sales" AS "avg_quarterly_sales" +FROM "tmp1" AS "tmp1" +WHERE + CASE + WHEN "tmp1"."avg_quarterly_sales" > 0 + THEN ABS("tmp1"."sum_sales" - "tmp1"."avg_quarterly_sales") / "tmp1"."avg_quarterly_sales" + ELSE NULL + END > 0.1 +ORDER BY + "tmp1"."avg_quarterly_sales", + "tmp1"."sum_sales", + "tmp1"."i_manufact_id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 54 +-------------------------------------- +WITH my_customers + AS (SELECT DISTINCT c_customer_sk, + c_current_addr_sk + FROM (SELECT cs_sold_date_sk sold_date_sk, + cs_bill_customer_sk customer_sk, + cs_item_sk item_sk + FROM catalog_sales + UNION ALL + SELECT ws_sold_date_sk sold_date_sk, + ws_bill_customer_sk customer_sk, + ws_item_sk item_sk + FROM web_sales) cs_or_ws_sales, + item, + date_dim, + customer + WHERE sold_date_sk = d_date_sk + AND item_sk = i_item_sk + AND i_category = 'Sports' + AND i_class = 'fitness' + AND c_customer_sk = cs_or_ws_sales.customer_sk + AND d_moy = 5 + AND d_year = 2000), + my_revenue + AS (SELECT c_customer_sk, + Sum(ss_ext_sales_price) AS revenue + FROM my_customers, + store_sales, + customer_address, + store, + date_dim + WHERE c_current_addr_sk = ca_address_sk + AND ca_county = s_county + AND ca_state = s_state + AND ss_sold_date_sk = d_date_sk + AND c_customer_sk = ss_customer_sk + AND d_month_seq BETWEEN (SELECT DISTINCT d_month_seq + 1 + FROM date_dim + WHERE d_year = 2000 + AND d_moy = 5) AND + (SELECT DISTINCT + d_month_seq + 3 + FROM date_dim + WHERE d_year = 2000 + AND d_moy = 5) + GROUP BY c_customer_sk), + segments + AS (SELECT Cast(( revenue / 50 ) AS INT) AS segment + FROM my_revenue) +SELECT segment, + Count(*) AS num_customers, + segment * 50 AS segment_base +FROM segments +GROUP BY segment +ORDER BY segment, + num_customers +LIMIT 100; +WITH "cs_or_ws_sales" AS ( + SELECT + "catalog_sales"."cs_sold_date_sk" AS "sold_date_sk", + "catalog_sales"."cs_bill_customer_sk" AS "customer_sk", + "catalog_sales"."cs_item_sk" AS "item_sk" + FROM "catalog_sales" AS "catalog_sales" + UNION ALL + SELECT + "web_sales"."ws_sold_date_sk" AS "sold_date_sk", + "web_sales"."ws_bill_customer_sk" AS "customer_sk", + "web_sales"."ws_item_sk" AS "item_sk" + FROM "web_sales" AS "web_sales" +), "my_customers" AS ( + SELECT DISTINCT + "customer"."c_customer_sk" AS "c_customer_sk", + "customer"."c_current_addr_sk" AS "c_current_addr_sk" + FROM "cs_or_ws_sales" AS "cs_or_ws_sales" + JOIN "item" AS "item" + ON "cs_or_ws_sales"."item_sk" = "item"."i_item_sk" + AND "item"."i_category" = 'Sports' + AND "item"."i_class" = 'fitness' + JOIN "date_dim" AS "date_dim" + ON "cs_or_ws_sales"."sold_date_sk" = "date_dim"."d_date_sk" + AND "date_dim"."d_moy" = 5 + AND "date_dim"."d_year" = 2000 + JOIN "customer" AS "customer" + ON "customer"."c_customer_sk" = "cs_or_ws_sales"."customer_sk" +), "_u_0" AS ( + SELECT DISTINCT + "date_dim"."d_month_seq" + 1 AS "_col_0" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_moy" = 5 AND "date_dim"."d_year" = 2000 +), "_u_1" AS ( + SELECT DISTINCT + "date_dim"."d_month_seq" + 3 AS "_col_0" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_moy" = 5 AND "date_dim"."d_year" = 2000 +), "my_revenue" AS ( + SELECT + SUM("store_sales"."ss_ext_sales_price") AS "revenue" + FROM "my_customers" + CROSS JOIN "date_dim" AS "date_dim" + JOIN "_u_0" AS "_u_0" + ON "date_dim"."d_month_seq" >= "_u_0"."_col_0" + JOIN "_u_1" AS "_u_1" + ON "date_dim"."d_month_seq" <= "_u_1"."_col_0" + JOIN "store_sales" AS "store_sales" + ON "my_customers"."c_customer_sk" = "store_sales"."ss_customer_sk" + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address" AS "customer_address" + ON "my_customers"."c_current_addr_sk" = "customer_address"."ca_address_sk" + JOIN "store" AS "store" + ON "customer_address"."ca_county" = "store"."s_county" + AND "customer_address"."ca_state" = "store"."s_state" + GROUP BY + "my_customers"."c_customer_sk" +) +SELECT + CAST(( + "my_revenue"."revenue" / 50 + ) AS INT) AS "segment", + COUNT(*) AS "num_customers", + CAST(( + "my_revenue"."revenue" / 50 + ) AS INT) * 50 AS "segment_base" +FROM "my_revenue" +GROUP BY + CAST(( + "my_revenue"."revenue" / 50 + ) AS INT) +ORDER BY + "segment", + "num_customers" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 55 +-------------------------------------- +SELECT i_brand_id brand_id, + i_brand brand, + Sum(ss_ext_sales_price) ext_price +FROM date_dim, + store_sales, + item +WHERE d_date_sk = ss_sold_date_sk + AND ss_item_sk = i_item_sk + AND i_manager_id = 33 + AND d_moy = 12 + AND d_year = 1998 +GROUP BY i_brand, + i_brand_id +ORDER BY ext_price DESC, + i_brand_id +LIMIT 100; +SELECT + "item"."i_brand_id" AS "brand_id", + "item"."i_brand" AS "brand", + SUM("store_sales"."ss_ext_sales_price") AS "ext_price" +FROM "date_dim" AS "date_dim" +JOIN "store_sales" AS "store_sales" + ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk" +JOIN "item" AS "item" + ON "item"."i_manager_id" = 33 AND "store_sales"."ss_item_sk" = "item"."i_item_sk" +WHERE + "date_dim"."d_moy" = 12 AND "date_dim"."d_year" = 1998 +GROUP BY + "item"."i_brand", + "item"."i_brand_id" +ORDER BY + "ext_price" DESC, + "item"."i_brand_id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 56 +-------------------------------------- +WITH ss + AS (SELECT i_item_id, + Sum(ss_ext_sales_price) total_sales + FROM store_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN (SELECT i_item_id + FROM item + WHERE i_color IN ( 'firebrick', 'rosy', 'white' ) + ) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1998 + AND d_moy = 3 + AND ss_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id), + cs + AS (SELECT i_item_id, + Sum(cs_ext_sales_price) total_sales + FROM catalog_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN (SELECT i_item_id + FROM item + WHERE i_color IN ( 'firebrick', 'rosy', 'white' ) + ) + AND cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 1998 + AND d_moy = 3 + AND cs_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id), + ws + AS (SELECT i_item_id, + Sum(ws_ext_sales_price) total_sales + FROM web_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN (SELECT i_item_id + FROM item + WHERE i_color IN ( 'firebrick', 'rosy', 'white' ) + ) + AND ws_item_sk = i_item_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 1998 + AND d_moy = 3 + AND ws_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id) +SELECT i_item_id, + Sum(total_sales) total_sales +FROM (SELECT * + FROM ss + UNION ALL + SELECT * + FROM cs + UNION ALL + SELECT * + FROM ws) tmp1 +GROUP BY i_item_id +ORDER BY total_sales +LIMIT 100; +WITH "item_2" AS ( + SELECT + "item"."i_item_sk" AS "i_item_sk", + "item"."i_item_id" AS "i_item_id" + FROM "item" AS "item" +), "_u_0" AS ( + SELECT + "item"."i_item_id" AS "i_item_id" + FROM "item" AS "item" + WHERE + "item"."i_color" IN ('firebrick', 'rosy', 'white') + GROUP BY + "item"."i_item_id" +), "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_moy" AS "d_moy" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_moy" = 3 AND "date_dim"."d_year" = 1998 +), "customer_address_2" AS ( + SELECT + "customer_address"."ca_address_sk" AS "ca_address_sk", + "customer_address"."ca_gmt_offset" AS "ca_gmt_offset" + FROM "customer_address" AS "customer_address" + WHERE + "customer_address"."ca_gmt_offset" = -6 +), "ss" AS ( + SELECT + "item"."i_item_id" AS "i_item_id", + SUM("store_sales"."ss_ext_sales_price") AS "total_sales" + FROM "store_sales" AS "store_sales" + JOIN "item_2" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + LEFT JOIN "_u_0" AS "_u_0" + ON "item"."i_item_id" = "_u_0"."i_item_id" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + WHERE + NOT "_u_0"."i_item_id" IS NULL + GROUP BY + "item"."i_item_id" +), "cs" AS ( + SELECT + "item"."i_item_id" AS "i_item_id", + SUM("catalog_sales"."cs_ext_sales_price") AS "total_sales" + FROM "catalog_sales" AS "catalog_sales" + JOIN "item_2" AS "item" + ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk" + LEFT JOIN "_u_0" AS "_u_1" + ON "item"."i_item_id" = "_u_1"."i_item_id" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "catalog_sales"."cs_bill_addr_sk" = "customer_address"."ca_address_sk" + WHERE + NOT "_u_1"."i_item_id" IS NULL + GROUP BY + "item"."i_item_id" +), "ws" AS ( + SELECT + "item"."i_item_id" AS "i_item_id", + SUM("web_sales"."ws_ext_sales_price") AS "total_sales" + FROM "web_sales" AS "web_sales" + JOIN "item_2" AS "item" + ON "web_sales"."ws_item_sk" = "item"."i_item_sk" + LEFT JOIN "_u_0" AS "_u_2" + ON "item"."i_item_id" = "_u_2"."i_item_id" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "web_sales"."ws_bill_addr_sk" = "customer_address"."ca_address_sk" + WHERE + NOT "_u_2"."i_item_id" IS NULL + GROUP BY + "item"."i_item_id" +), "cte_4" AS ( + SELECT + "cs"."i_item_id" AS "i_item_id", + "cs"."total_sales" AS "total_sales" + FROM "cs" + UNION ALL + SELECT + "ws"."i_item_id" AS "i_item_id", + "ws"."total_sales" AS "total_sales" + FROM "ws" +), "tmp1" AS ( + SELECT + "ss"."i_item_id" AS "i_item_id", + "ss"."total_sales" AS "total_sales" + FROM "ss" + UNION ALL + SELECT + "cte_4"."i_item_id" AS "i_item_id", + "cte_4"."total_sales" AS "total_sales" + FROM "cte_4" AS "cte_4" +) +SELECT + "tmp1"."i_item_id" AS "i_item_id", + SUM("tmp1"."total_sales") AS "total_sales" +FROM "tmp1" AS "tmp1" +GROUP BY + "tmp1"."i_item_id" +ORDER BY + "total_sales" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 57 +-------------------------------------- +WITH v1 + AS (SELECT i_category, + i_brand, + cc_name, + d_year, + d_moy, + Sum(cs_sales_price) sum_sales + , + Avg(Sum(cs_sales_price)) + OVER ( + partition BY i_category, i_brand, cc_name, d_year) + avg_monthly_sales + , + Rank() + OVER ( + partition BY i_category, i_brand, cc_name + ORDER BY d_year, d_moy) rn + FROM item, + catalog_sales, + date_dim, + call_center + WHERE cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND cc_call_center_sk = cs_call_center_sk + AND ( d_year = 2000 + OR ( d_year = 2000 - 1 + AND d_moy = 12 ) + OR ( d_year = 2000 + 1 + AND d_moy = 1 ) ) + GROUP BY i_category, + i_brand, + cc_name, + d_year, + d_moy), + v2 + AS (SELECT v1.i_brand, + v1.d_year, + v1.avg_monthly_sales, + v1.sum_sales, + v1_lag.sum_sales psum, + v1_lead.sum_sales nsum + FROM v1, + v1 v1_lag, + v1 v1_lead + WHERE v1.i_category = v1_lag.i_category + AND v1.i_category = v1_lead.i_category + AND v1.i_brand = v1_lag.i_brand + AND v1.i_brand = v1_lead.i_brand + AND v1. cc_name = v1_lag. cc_name + AND v1. cc_name = v1_lead. cc_name + AND v1.rn = v1_lag.rn + 1 + AND v1.rn = v1_lead.rn - 1) +SELECT * +FROM v2 +WHERE d_year = 2000 + AND avg_monthly_sales > 0 + AND CASE + WHEN avg_monthly_sales > 0 THEN Abs(sum_sales - avg_monthly_sales) + / + avg_monthly_sales + ELSE NULL + END > 0.1 +ORDER BY sum_sales - avg_monthly_sales, + 3 +LIMIT 100; +WITH "v1" AS ( + SELECT + "item"."i_category" AS "i_category", + "item"."i_brand" AS "i_brand", + "call_center"."cc_name" AS "cc_name", + "date_dim"."d_year" AS "d_year", + SUM("catalog_sales"."cs_sales_price") AS "sum_sales", + AVG(SUM("catalog_sales"."cs_sales_price")) OVER (PARTITION BY "item"."i_category", "item"."i_brand", "call_center"."cc_name", "date_dim"."d_year") AS "avg_monthly_sales", + RANK() OVER (PARTITION BY "item"."i_category", "item"."i_brand", "call_center"."cc_name" ORDER BY "date_dim"."d_year", "date_dim"."d_moy") AS "rn" + FROM "item" AS "item" + JOIN "catalog_sales" AS "catalog_sales" + ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk" + JOIN "date_dim" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + AND ( + "date_dim"."d_moy" = 1 OR "date_dim"."d_moy" = 12 OR "date_dim"."d_year" = 2000 + ) + AND ( + "date_dim"."d_moy" = 1 OR "date_dim"."d_year" = 1999 OR "date_dim"."d_year" = 2000 + ) + AND ( + "date_dim"."d_moy" = 12 OR "date_dim"."d_year" = 2000 OR "date_dim"."d_year" = 2001 + ) + AND ( + "date_dim"."d_year" = 1999 OR "date_dim"."d_year" = 2000 OR "date_dim"."d_year" = 2001 + ) + JOIN "call_center" AS "call_center" + ON "call_center"."cc_call_center_sk" = "catalog_sales"."cs_call_center_sk" + GROUP BY + "item"."i_category", + "item"."i_brand", + "call_center"."cc_name", + "date_dim"."d_year", + "date_dim"."d_moy" +) +SELECT + "v1"."i_brand" AS "i_brand", + "v1"."d_year" AS "d_year", + "v1"."avg_monthly_sales" AS "avg_monthly_sales", + "v1"."sum_sales" AS "sum_sales", + "v1_lag"."sum_sales" AS "psum", + "v1_lead"."sum_sales" AS "nsum" +FROM "v1" +JOIN "v1" AS "v1_lag" + ON "v1"."cc_name" = "v1_lag"."cc_name" + AND "v1"."i_brand" = "v1_lag"."i_brand" + AND "v1"."i_category" = "v1_lag"."i_category" + AND "v1"."rn" = "v1_lag"."rn" + 1 +JOIN "v1" AS "v1_lead" + ON "v1"."cc_name" = "v1_lead"."cc_name" + AND "v1"."i_brand" = "v1_lead"."i_brand" + AND "v1"."i_category" = "v1_lead"."i_category" + AND "v1"."rn" = "v1_lead"."rn" - 1 +WHERE + "v1"."avg_monthly_sales" > 0 + AND "v1"."d_year" = 2000 + AND CASE + WHEN "v1"."avg_monthly_sales" > 0 + THEN ABS("v1"."sum_sales" - "v1"."avg_monthly_sales") / "v1"."avg_monthly_sales" + ELSE NULL + END > 0.1 +ORDER BY + "v1"."sum_sales" - "v1"."avg_monthly_sales", + "v1"."avg_monthly_sales" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 59 +-------------------------------------- +WITH wss + AS (SELECT d_week_seq, + ss_store_sk, + Sum(CASE + WHEN ( d_day_name = 'Sunday' ) THEN ss_sales_price + ELSE NULL + END) sun_sales, + Sum(CASE + WHEN ( d_day_name = 'Monday' ) THEN ss_sales_price + ELSE NULL + END) mon_sales, + Sum(CASE + WHEN ( d_day_name = 'Tuesday' ) THEN ss_sales_price + ELSE NULL + END) tue_sales, + Sum(CASE + WHEN ( d_day_name = 'Wednesday' ) THEN ss_sales_price + ELSE NULL + END) wed_sales, + Sum(CASE + WHEN ( d_day_name = 'Thursday' ) THEN ss_sales_price + ELSE NULL + END) thu_sales, + Sum(CASE + WHEN ( d_day_name = 'Friday' ) THEN ss_sales_price + ELSE NULL + END) fri_sales, + Sum(CASE + WHEN ( d_day_name = 'Saturday' ) THEN ss_sales_price + ELSE NULL + END) sat_sales + FROM store_sales, + date_dim + WHERE d_date_sk = ss_sold_date_sk + GROUP BY d_week_seq, + ss_store_sk) +SELECT s_store_name1, + s_store_id1, + d_week_seq1, + sun_sales1 / sun_sales2, + mon_sales1 / mon_sales2, + tue_sales1 / tue_sales2, + wed_sales1 / wed_sales2, + thu_sales1 / thu_sales2, + fri_sales1 / fri_sales2, + sat_sales1 / sat_sales2 +FROM (SELECT s_store_name s_store_name1, + wss.d_week_seq d_week_seq1, + s_store_id s_store_id1, + sun_sales sun_sales1, + mon_sales mon_sales1, + tue_sales tue_sales1, + wed_sales wed_sales1, + thu_sales thu_sales1, + fri_sales fri_sales1, + sat_sales sat_sales1 + FROM wss, + store, + date_dim d + WHERE d.d_week_seq = wss.d_week_seq + AND ss_store_sk = s_store_sk + AND d_month_seq BETWEEN 1196 AND 1196 + 11) y, + (SELECT s_store_name s_store_name2, + wss.d_week_seq d_week_seq2, + s_store_id s_store_id2, + sun_sales sun_sales2, + mon_sales mon_sales2, + tue_sales tue_sales2, + wed_sales wed_sales2, + thu_sales thu_sales2, + fri_sales fri_sales2, + sat_sales sat_sales2 + FROM wss, + store, + date_dim d + WHERE d.d_week_seq = wss.d_week_seq + AND ss_store_sk = s_store_sk + AND d_month_seq BETWEEN 1196 + 12 AND 1196 + 23) x +WHERE s_store_id1 = s_store_id2 + AND d_week_seq1 = d_week_seq2 - 52 +ORDER BY s_store_name1, + s_store_id1, + d_week_seq1 +LIMIT 100; +WITH "wss" AS ( + SELECT + "date_dim"."d_week_seq" AS "d_week_seq", + "store_sales"."ss_store_sk" AS "ss_store_sk", + SUM( + CASE + WHEN "date_dim"."d_day_name" = 'Sunday' + THEN "store_sales"."ss_sales_price" + ELSE NULL + END + ) AS "sun_sales", + SUM( + CASE + WHEN "date_dim"."d_day_name" = 'Monday' + THEN "store_sales"."ss_sales_price" + ELSE NULL + END + ) AS "mon_sales", + SUM( + CASE + WHEN "date_dim"."d_day_name" = 'Tuesday' + THEN "store_sales"."ss_sales_price" + ELSE NULL + END + ) AS "tue_sales", + SUM( + CASE + WHEN "date_dim"."d_day_name" = 'Wednesday' + THEN "store_sales"."ss_sales_price" + ELSE NULL + END + ) AS "wed_sales", + SUM( + CASE + WHEN "date_dim"."d_day_name" = 'Thursday' + THEN "store_sales"."ss_sales_price" + ELSE NULL + END + ) AS "thu_sales", + SUM( + CASE + WHEN "date_dim"."d_day_name" = 'Friday' + THEN "store_sales"."ss_sales_price" + ELSE NULL + END + ) AS "fri_sales", + SUM( + CASE + WHEN "date_dim"."d_day_name" = 'Saturday' + THEN "store_sales"."ss_sales_price" + ELSE NULL + END + ) AS "sat_sales" + FROM "store_sales" AS "store_sales" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk" + GROUP BY + "date_dim"."d_week_seq", + "store_sales"."ss_store_sk" +), "x" AS ( + SELECT + "wss"."d_week_seq" AS "d_week_seq2", + "store"."s_store_id" AS "s_store_id2", + "wss"."sun_sales" AS "sun_sales2", + "wss"."mon_sales" AS "mon_sales2", + "wss"."tue_sales" AS "tue_sales2", + "wss"."wed_sales" AS "wed_sales2", + "wss"."thu_sales" AS "thu_sales2", + "wss"."fri_sales" AS "fri_sales2", + "wss"."sat_sales" AS "sat_sales2" + FROM "wss", "store" AS "store", "date_dim" AS "date_dim" + WHERE + "date_dim"."d_month_seq" <= 1219 + AND "date_dim"."d_month_seq" >= 1208 + AND "date_dim"."d_week_seq" = "wss"."d_week_seq" + AND "wss"."ss_store_sk" = "store"."s_store_sk" +) +SELECT + "store"."s_store_name" AS "s_store_name1", + "store"."s_store_id" AS "s_store_id1", + "wss"."d_week_seq" AS "d_week_seq1", + "wss"."sun_sales" / "x"."sun_sales2" AS "_col_3", + "wss"."mon_sales" / "x"."mon_sales2" AS "_col_4", + "wss"."tue_sales" / "x"."tue_sales2" AS "_col_5", + "wss"."wed_sales" / "x"."wed_sales2" AS "_col_6", + "wss"."thu_sales" / "x"."thu_sales2" AS "_col_7", + "wss"."fri_sales" / "x"."fri_sales2" AS "_col_8", + "wss"."sat_sales" / "x"."sat_sales2" AS "_col_9" +FROM "wss" +JOIN "store" AS "store" + ON "wss"."ss_store_sk" = "store"."s_store_sk" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_month_seq" <= 1207 + AND "date_dim"."d_month_seq" >= 1196 + AND "date_dim"."d_week_seq" = "wss"."d_week_seq" +JOIN "x" AS "x" + ON "store"."s_store_id" = "x"."s_store_id2" + AND "wss"."d_week_seq" = "x"."d_week_seq2" - 52 +ORDER BY + "s_store_name1", + "s_store_id1", + "d_week_seq1" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 60 +-------------------------------------- +WITH ss + AS (SELECT i_item_id, + Sum(ss_ext_sales_price) total_sales + FROM store_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN (SELECT i_item_id + FROM item + WHERE i_category IN ( 'Jewelry' )) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 8 + AND ss_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id), + cs + AS (SELECT i_item_id, + Sum(cs_ext_sales_price) total_sales + FROM catalog_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN (SELECT i_item_id + FROM item + WHERE i_category IN ( 'Jewelry' )) + AND cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 8 + AND cs_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id), + ws + AS (SELECT i_item_id, + Sum(ws_ext_sales_price) total_sales + FROM web_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN (SELECT i_item_id + FROM item + WHERE i_category IN ( 'Jewelry' )) + AND ws_item_sk = i_item_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 8 + AND ws_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id) +SELECT i_item_id, + Sum(total_sales) total_sales +FROM (SELECT * + FROM ss + UNION ALL + SELECT * + FROM cs + UNION ALL + SELECT * + FROM ws) tmp1 +GROUP BY i_item_id +ORDER BY i_item_id, + total_sales +LIMIT 100; +WITH "item_2" AS ( + SELECT + "item"."i_item_sk" AS "i_item_sk", + "item"."i_item_id" AS "i_item_id" + FROM "item" AS "item" +), "_u_0" AS ( + SELECT + "item"."i_item_id" AS "i_item_id" + FROM "item" AS "item" + WHERE + "item"."i_category" IN ('Jewelry') + GROUP BY + "item"."i_item_id" +), "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_moy" AS "d_moy" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_moy" = 8 AND "date_dim"."d_year" = 1999 +), "customer_address_2" AS ( + SELECT + "customer_address"."ca_address_sk" AS "ca_address_sk", + "customer_address"."ca_gmt_offset" AS "ca_gmt_offset" + FROM "customer_address" AS "customer_address" + WHERE + "customer_address"."ca_gmt_offset" = -6 +), "ss" AS ( + SELECT + "item"."i_item_id" AS "i_item_id", + SUM("store_sales"."ss_ext_sales_price") AS "total_sales" + FROM "store_sales" AS "store_sales" + JOIN "item_2" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + LEFT JOIN "_u_0" AS "_u_0" + ON "item"."i_item_id" = "_u_0"."i_item_id" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + WHERE + NOT "_u_0"."i_item_id" IS NULL + GROUP BY + "item"."i_item_id" +), "cs" AS ( + SELECT + "item"."i_item_id" AS "i_item_id", + SUM("catalog_sales"."cs_ext_sales_price") AS "total_sales" + FROM "catalog_sales" AS "catalog_sales" + JOIN "item_2" AS "item" + ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk" + LEFT JOIN "_u_0" AS "_u_1" + ON "item"."i_item_id" = "_u_1"."i_item_id" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "catalog_sales"."cs_bill_addr_sk" = "customer_address"."ca_address_sk" + WHERE + NOT "_u_1"."i_item_id" IS NULL + GROUP BY + "item"."i_item_id" +), "ws" AS ( + SELECT + "item"."i_item_id" AS "i_item_id", + SUM("web_sales"."ws_ext_sales_price") AS "total_sales" + FROM "web_sales" AS "web_sales" + JOIN "item_2" AS "item" + ON "web_sales"."ws_item_sk" = "item"."i_item_sk" + LEFT JOIN "_u_0" AS "_u_2" + ON "item"."i_item_id" = "_u_2"."i_item_id" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "web_sales"."ws_bill_addr_sk" = "customer_address"."ca_address_sk" + WHERE + NOT "_u_2"."i_item_id" IS NULL + GROUP BY + "item"."i_item_id" +), "cte_4" AS ( + SELECT + "cs"."i_item_id" AS "i_item_id", + "cs"."total_sales" AS "total_sales" + FROM "cs" + UNION ALL + SELECT + "ws"."i_item_id" AS "i_item_id", + "ws"."total_sales" AS "total_sales" + FROM "ws" +), "tmp1" AS ( + SELECT + "ss"."i_item_id" AS "i_item_id", + "ss"."total_sales" AS "total_sales" + FROM "ss" + UNION ALL + SELECT + "cte_4"."i_item_id" AS "i_item_id", + "cte_4"."total_sales" AS "total_sales" + FROM "cte_4" AS "cte_4" +) +SELECT + "tmp1"."i_item_id" AS "i_item_id", + SUM("tmp1"."total_sales") AS "total_sales" +FROM "tmp1" AS "tmp1" +GROUP BY + "tmp1"."i_item_id" +ORDER BY + "i_item_id", + "total_sales" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 61 +-------------------------------------- +SELECT promotions, + total, + Cast(promotions AS DECIMAL(15, 4)) / + Cast(total AS DECIMAL(15, 4)) * 100 +FROM (SELECT Sum(ss_ext_sales_price) promotions + FROM store_sales, + store, + promotion, + date_dim, + customer, + customer_address, + item + WHERE ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND ss_promo_sk = p_promo_sk + AND ss_customer_sk = c_customer_sk + AND ca_address_sk = c_current_addr_sk + AND ss_item_sk = i_item_sk + AND ca_gmt_offset = -7 + AND i_category = 'Books' + AND ( p_channel_dmail = 'Y' + OR p_channel_email = 'Y' + OR p_channel_tv = 'Y' ) + AND s_gmt_offset = -7 + AND d_year = 2001 + AND d_moy = 12) promotional_sales, + (SELECT Sum(ss_ext_sales_price) total + FROM store_sales, + store, + date_dim, + customer, + customer_address, + item + WHERE ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND ss_customer_sk = c_customer_sk + AND ca_address_sk = c_current_addr_sk + AND ss_item_sk = i_item_sk + AND ca_gmt_offset = -7 + AND i_category = 'Books' + AND s_gmt_offset = -7 + AND d_year = 2001 + AND d_moy = 12) all_sales +ORDER BY promotions, + total +LIMIT 100; +WITH "store_2" AS ( + SELECT + "store"."s_store_sk" AS "s_store_sk", + "store"."s_gmt_offset" AS "s_gmt_offset" + FROM "store" AS "store" + WHERE + "store"."s_gmt_offset" = -7 +), "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_moy" AS "d_moy" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_moy" = 12 AND "date_dim"."d_year" = 2001 +), "customer_2" AS ( + SELECT + "customer"."c_customer_sk" AS "c_customer_sk", + "customer"."c_current_addr_sk" AS "c_current_addr_sk" + FROM "customer" AS "customer" +), "customer_address_2" AS ( + SELECT + "customer_address"."ca_address_sk" AS "ca_address_sk", + "customer_address"."ca_gmt_offset" AS "ca_gmt_offset" + FROM "customer_address" AS "customer_address" + WHERE + "customer_address"."ca_gmt_offset" = -7 +), "item_2" AS ( + SELECT + "item"."i_item_sk" AS "i_item_sk", + "item"."i_category" AS "i_category" + FROM "item" AS "item" + WHERE + "item"."i_category" = 'Books' +), "promotional_sales" AS ( + SELECT + SUM("store_sales"."ss_ext_sales_price") AS "promotions" + FROM "store_sales" AS "store_sales" + JOIN "store_2" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_store_sk" + JOIN "promotion" AS "promotion" + ON ( + "promotion"."p_channel_dmail" = 'Y' + OR "promotion"."p_channel_email" = 'Y' + OR "promotion"."p_channel_tv" = 'Y' + ) + AND "store_sales"."ss_promo_sk" = "promotion"."p_promo_sk" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_2" AS "customer" + ON "store_sales"."ss_customer_sk" = "customer"."c_customer_sk" + JOIN "customer_address_2" AS "customer_address" + ON "customer_address"."ca_address_sk" = "customer"."c_current_addr_sk" + JOIN "item_2" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" +), "all_sales" AS ( + SELECT + SUM("store_sales"."ss_ext_sales_price") AS "total" + FROM "store_sales" AS "store_sales", "store_2" AS "store", "date_dim_2" AS "date_dim", "customer_2" AS "customer", "customer_address_2" AS "customer_address", "item_2" AS "item" + WHERE + "customer_address"."ca_address_sk" = "customer"."c_current_addr_sk" + AND "store_sales"."ss_customer_sk" = "customer"."c_customer_sk" + AND "store_sales"."ss_item_sk" = "item"."i_item_sk" + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + AND "store_sales"."ss_store_sk" = "store"."s_store_sk" +) +SELECT + "promotional_sales"."promotions" AS "promotions", + "all_sales"."total" AS "total", + CAST("promotional_sales"."promotions" AS DECIMAL(15, 4)) / CAST("all_sales"."total" AS DECIMAL(15, 4)) * 100 AS "_col_2" +FROM "promotional_sales" AS "promotional_sales" +CROSS JOIN "all_sales" AS "all_sales" +ORDER BY + "promotions", + "total" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 62 +-------------------------------------- +SELECT Substr(w_warehouse_name, 1, 20), + sm_type, + web_name, + Sum(CASE + WHEN ( ws_ship_date_sk - ws_sold_date_sk <= 30 ) THEN 1 + ELSE 0 + END) AS "30 days", + Sum(CASE + WHEN ( ws_ship_date_sk - ws_sold_date_sk > 30 ) + AND ( ws_ship_date_sk - ws_sold_date_sk <= 60 ) THEN 1 + ELSE 0 + END) AS "31-60 days", + Sum(CASE + WHEN ( ws_ship_date_sk - ws_sold_date_sk > 60 ) + AND ( ws_ship_date_sk - ws_sold_date_sk <= 90 ) THEN 1 + ELSE 0 + END) AS "61-90 days", + Sum(CASE + WHEN ( ws_ship_date_sk - ws_sold_date_sk > 90 ) + AND ( ws_ship_date_sk - ws_sold_date_sk <= 120 ) THEN + 1 + ELSE 0 + END) AS "91-120 days", + Sum(CASE + WHEN ( ws_ship_date_sk - ws_sold_date_sk > 120 ) THEN 1 + ELSE 0 + END) AS ">120 days" +FROM web_sales, + warehouse, + ship_mode, + web_site, + date_dim +WHERE d_month_seq BETWEEN 1222 AND 1222 + 11 + AND ws_ship_date_sk = d_date_sk + AND ws_warehouse_sk = w_warehouse_sk + AND ws_ship_mode_sk = sm_ship_mode_sk + AND ws_web_site_sk = web_site_sk +GROUP BY Substr(w_warehouse_name, 1, 20), + sm_type, + web_name +ORDER BY Substr(w_warehouse_name, 1, 20), + sm_type, + web_name +LIMIT 100; +SELECT + SUBSTR("warehouse"."w_warehouse_name", 1, 20) AS "_col_0", + "ship_mode"."sm_type" AS "sm_type", + "web_site"."web_name" AS "web_name", + SUM( + CASE + WHEN "web_sales"."ws_ship_date_sk" - "web_sales"."ws_sold_date_sk" <= 30 + THEN 1 + ELSE 0 + END + ) AS "30 days", + SUM( + CASE + WHEN "web_sales"."ws_ship_date_sk" - "web_sales"."ws_sold_date_sk" <= 60 + AND "web_sales"."ws_ship_date_sk" - "web_sales"."ws_sold_date_sk" > 30 + THEN 1 + ELSE 0 + END + ) AS "31-60 days", + SUM( + CASE + WHEN "web_sales"."ws_ship_date_sk" - "web_sales"."ws_sold_date_sk" <= 90 + AND "web_sales"."ws_ship_date_sk" - "web_sales"."ws_sold_date_sk" > 60 + THEN 1 + ELSE 0 + END + ) AS "61-90 days", + SUM( + CASE + WHEN "web_sales"."ws_ship_date_sk" - "web_sales"."ws_sold_date_sk" <= 120 + AND "web_sales"."ws_ship_date_sk" - "web_sales"."ws_sold_date_sk" > 90 + THEN 1 + ELSE 0 + END + ) AS "91-120 days", + SUM( + CASE + WHEN "web_sales"."ws_ship_date_sk" - "web_sales"."ws_sold_date_sk" > 120 + THEN 1 + ELSE 0 + END + ) AS ">120 days" +FROM "web_sales" AS "web_sales" +JOIN "warehouse" AS "warehouse" + ON "web_sales"."ws_warehouse_sk" = "warehouse"."w_warehouse_sk" +JOIN "ship_mode" AS "ship_mode" + ON "web_sales"."ws_ship_mode_sk" = "ship_mode"."sm_ship_mode_sk" +JOIN "web_site" AS "web_site" + ON "web_sales"."ws_web_site_sk" = "web_site"."web_site_sk" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_month_seq" <= 1233 + AND "date_dim"."d_month_seq" >= 1222 + AND "web_sales"."ws_ship_date_sk" = "date_dim"."d_date_sk" +GROUP BY + SUBSTR("warehouse"."w_warehouse_name", 1, 20), + "ship_mode"."sm_type", + "web_site"."web_name" +ORDER BY + SUBSTR("warehouse"."w_warehouse_name", 1, 20), + "sm_type", + "web_name" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 63 +-------------------------------------- +SELECT * +FROM (SELECT i_manager_id, + Sum(ss_sales_price) sum_sales, + Avg(Sum(ss_sales_price)) + OVER ( + partition BY i_manager_id) avg_monthly_sales + FROM item, + store_sales, + date_dim, + store + WHERE ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND d_month_seq IN ( 1200, 1200 + 1, 1200 + 2, 1200 + 3, + 1200 + 4, 1200 + 5, 1200 + 6, 1200 + 7, + 1200 + 8, 1200 + 9, 1200 + 10, 1200 + 11 ) + AND ( ( i_category IN ( 'Books', 'Children', 'Electronics' ) + AND i_class IN ( 'personal', 'portable', 'reference', + 'self-help' ) + AND i_brand IN ( 'scholaramalgamalg #14', + 'scholaramalgamalg #7' + , + 'exportiunivamalg #9', + 'scholaramalgamalg #9' ) + ) + OR ( i_category IN ( 'Women', 'Music', 'Men' ) + AND i_class IN ( 'accessories', 'classical', + 'fragrances', + 'pants' ) + AND i_brand IN ( 'amalgimporto #1', + 'edu packscholar #1', + 'exportiimporto #1', + 'importoamalg #1' ) ) ) + GROUP BY i_manager_id, + d_moy) tmp1 +WHERE CASE + WHEN avg_monthly_sales > 0 THEN Abs (sum_sales - avg_monthly_sales) / + avg_monthly_sales + ELSE NULL + END > 0.1 +ORDER BY i_manager_id, + avg_monthly_sales, + sum_sales +LIMIT 100; +WITH "tmp1" AS ( + SELECT + "item"."i_manager_id" AS "i_manager_id", + SUM("store_sales"."ss_sales_price") AS "sum_sales", + AVG(SUM("store_sales"."ss_sales_price")) OVER (PARTITION BY "item"."i_manager_id") AS "avg_monthly_sales" + FROM "item" AS "item" + JOIN "store_sales" AS "store_sales" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_month_seq" IN (1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_store_sk" + WHERE + ( + "item"."i_brand" IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1') + OR "item"."i_brand" IN ('scholaramalgamalg #14', 'scholaramalgamalg #7', 'exportiunivamalg #9', 'scholaramalgamalg #9') + ) + AND ( + "item"."i_brand" IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1') + OR "item"."i_category" IN ('Books', 'Children', 'Electronics') + ) + AND ( + "item"."i_brand" IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1') + OR "item"."i_class" IN ('personal', 'portable', 'reference', 'self-help') + ) + AND ( + "item"."i_category" IN ('Books', 'Children', 'Electronics') + OR "item"."i_category" IN ('Women', 'Music', 'Men') + ) + AND ( + "item"."i_category" IN ('Books', 'Children', 'Electronics') + OR "item"."i_class" IN ('accessories', 'classical', 'fragrances', 'pants') + ) + AND ( + "item"."i_category" IN ('Women', 'Music', 'Men') + OR "item"."i_class" IN ('personal', 'portable', 'reference', 'self-help') + ) + AND ( + "item"."i_class" IN ('accessories', 'classical', 'fragrances', 'pants') + OR "item"."i_class" IN ('personal', 'portable', 'reference', 'self-help') + ) + GROUP BY + "item"."i_manager_id", + "date_dim"."d_moy" +) +SELECT + "tmp1"."i_manager_id" AS "i_manager_id", + "tmp1"."sum_sales" AS "sum_sales", + "tmp1"."avg_monthly_sales" AS "avg_monthly_sales" +FROM "tmp1" AS "tmp1" +WHERE + CASE + WHEN "tmp1"."avg_monthly_sales" > 0 + THEN ABS("tmp1"."sum_sales" - "tmp1"."avg_monthly_sales") / "tmp1"."avg_monthly_sales" + ELSE NULL + END > 0.1 +ORDER BY + "tmp1"."i_manager_id", + "tmp1"."avg_monthly_sales", + "tmp1"."sum_sales" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 64 +-------------------------------------- +WITH cs_ui + AS (SELECT cs_item_sk, + Sum(cs_ext_list_price) AS sale, + Sum(cr_refunded_cash + cr_reversed_charge + + cr_store_credit) AS refund + FROM catalog_sales, + catalog_returns + WHERE cs_item_sk = cr_item_sk + AND cs_order_number = cr_order_number + GROUP BY cs_item_sk + HAVING Sum(cs_ext_list_price) > 2 * Sum( + cr_refunded_cash + cr_reversed_charge + + cr_store_credit)), + cross_sales + AS (SELECT i_product_name product_name, + i_item_sk item_sk, + s_store_name store_name, + s_zip store_zip, + ad1.ca_street_number b_street_number, + ad1.ca_street_name b_streen_name, + ad1.ca_city b_city, + ad1.ca_zip b_zip, + ad2.ca_street_number c_street_number, + ad2.ca_street_name c_street_name, + ad2.ca_city c_city, + ad2.ca_zip c_zip, + d1.d_year AS syear, + d2.d_year AS fsyear, + d3.d_year s2year, + Count(*) cnt, + Sum(ss_wholesale_cost) s1, + Sum(ss_list_price) s2, + Sum(ss_coupon_amt) s3 + FROM store_sales, + store_returns, + cs_ui, + date_dim d1, + date_dim d2, + date_dim d3, + store, + customer, + customer_demographics cd1, + customer_demographics cd2, + promotion, + household_demographics hd1, + household_demographics hd2, + customer_address ad1, + customer_address ad2, + income_band ib1, + income_band ib2, + item + WHERE ss_store_sk = s_store_sk + AND ss_sold_date_sk = d1.d_date_sk + AND ss_customer_sk = c_customer_sk + AND ss_cdemo_sk = cd1.cd_demo_sk + AND ss_hdemo_sk = hd1.hd_demo_sk + AND ss_addr_sk = ad1.ca_address_sk + AND ss_item_sk = i_item_sk + AND ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number + AND ss_item_sk = cs_ui.cs_item_sk + AND c_current_cdemo_sk = cd2.cd_demo_sk + AND c_current_hdemo_sk = hd2.hd_demo_sk + AND c_current_addr_sk = ad2.ca_address_sk + AND c_first_sales_date_sk = d2.d_date_sk + AND c_first_shipto_date_sk = d3.d_date_sk + AND ss_promo_sk = p_promo_sk + AND hd1.hd_income_band_sk = ib1.ib_income_band_sk + AND hd2.hd_income_band_sk = ib2.ib_income_band_sk + AND cd1.cd_marital_status <> cd2.cd_marital_status + AND i_color IN ( 'cyan', 'peach', 'blush', 'frosted', + 'powder', 'orange' ) + AND i_current_price BETWEEN 58 AND 58 + 10 + AND i_current_price BETWEEN 58 + 1 AND 58 + 15 + GROUP BY i_product_name, + i_item_sk, + s_store_name, + s_zip, + ad1.ca_street_number, + ad1.ca_street_name, + ad1.ca_city, + ad1.ca_zip, + ad2.ca_street_number, + ad2.ca_street_name, + ad2.ca_city, + ad2.ca_zip, + d1.d_year, + d2.d_year, + d3.d_year) +SELECT cs1.product_name, + cs1.store_name, + cs1.store_zip, + cs1.b_street_number, + cs1.b_streen_name, + cs1.b_city, + cs1.b_zip, + cs1.c_street_number, + cs1.c_street_name, + cs1.c_city, + cs1.c_zip, + cs1.syear, + cs1.cnt, + cs1.s1, + cs1.s2, + cs1.s3, + cs2.s1, + cs2.s2, + cs2.s3, + cs2.syear, + cs2.cnt +FROM cross_sales cs1, + cross_sales cs2 +WHERE cs1.item_sk = cs2.item_sk + AND cs1.syear = 2001 + AND cs2.syear = 2001 + 1 + AND cs2.cnt <= cs1.cnt + AND cs1.store_name = cs2.store_name + AND cs1.store_zip = cs2.store_zip +ORDER BY cs1.product_name, + cs1.store_name, + cs2.cnt; +WITH "cs_ui" AS ( + SELECT + "catalog_sales"."cs_item_sk" AS "cs_item_sk" + FROM "catalog_sales" AS "catalog_sales" + JOIN "catalog_returns" AS "catalog_returns" + ON "catalog_sales"."cs_item_sk" = "catalog_returns"."cr_item_sk" + AND "catalog_sales"."cs_order_number" = "catalog_returns"."cr_order_number" + GROUP BY + "catalog_sales"."cs_item_sk" + HAVING + SUM("catalog_sales"."cs_ext_list_price") > 2 * SUM( + "catalog_returns"."cr_refunded_cash" + "catalog_returns"."cr_reversed_charge" + "catalog_returns"."cr_store_credit" + ) +), "d1" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year" + FROM "date_dim" AS "date_dim" +), "ib2" AS ( + SELECT + "income_band"."ib_income_band_sk" AS "ib_income_band_sk" + FROM "income_band" AS "income_band" +), "hd2" AS ( + SELECT + "household_demographics"."hd_demo_sk" AS "hd_demo_sk", + "household_demographics"."hd_income_band_sk" AS "hd_income_band_sk" + FROM "household_demographics" AS "household_demographics" +), "cd1" AS ( + SELECT + "customer_demographics"."cd_demo_sk" AS "cd_demo_sk", + "customer_demographics"."cd_marital_status" AS "cd_marital_status" + FROM "customer_demographics" AS "customer_demographics" +), "ad1" AS ( + SELECT + "customer_address"."ca_address_sk" AS "ca_address_sk", + "customer_address"."ca_street_number" AS "ca_street_number", + "customer_address"."ca_street_name" AS "ca_street_name", + "customer_address"."ca_city" AS "ca_city", + "customer_address"."ca_zip" AS "ca_zip" + FROM "customer_address" AS "customer_address" +), "cross_sales" AS ( + SELECT + "item"."i_product_name" AS "product_name", + "item"."i_item_sk" AS "item_sk", + "store"."s_store_name" AS "store_name", + "store"."s_zip" AS "store_zip", + "ad1"."ca_street_number" AS "b_street_number", + "ad1"."ca_street_name" AS "b_streen_name", + "ad1"."ca_city" AS "b_city", + "ad1"."ca_zip" AS "b_zip", + "ad2"."ca_street_number" AS "c_street_number", + "ad2"."ca_street_name" AS "c_street_name", + "ad2"."ca_city" AS "c_city", + "ad2"."ca_zip" AS "c_zip", + "d1"."d_year" AS "syear", + COUNT(*) AS "cnt", + SUM("store_sales"."ss_wholesale_cost") AS "s1", + SUM("store_sales"."ss_list_price") AS "s2", + SUM("store_sales"."ss_coupon_amt") AS "s3" + FROM "store_sales" AS "store_sales" + JOIN "store_returns" AS "store_returns" + ON "store_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + AND "store_sales"."ss_ticket_number" = "store_returns"."sr_ticket_number" + JOIN "cs_ui" + ON "store_sales"."ss_item_sk" = "cs_ui"."cs_item_sk" + JOIN "d1" AS "d1" + ON "store_sales"."ss_sold_date_sk" = "d1"."d_date_sk" + CROSS JOIN "ib2" AS "ib2" + JOIN "hd2" AS "hd2" + ON "hd2"."hd_income_band_sk" = "ib2"."ib_income_band_sk" + JOIN "customer" AS "customer" + ON "customer"."c_current_hdemo_sk" = "hd2"."hd_demo_sk" + AND "store_sales"."ss_customer_sk" = "customer"."c_customer_sk" + JOIN "d1" AS "d2" + ON "customer"."c_first_sales_date_sk" = "d2"."d_date_sk" + JOIN "d1" AS "d3" + ON "customer"."c_first_shipto_date_sk" = "d3"."d_date_sk" + JOIN "store" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_store_sk" + JOIN "cd1" AS "cd1" + ON "store_sales"."ss_cdemo_sk" = "cd1"."cd_demo_sk" + JOIN "cd1" AS "cd2" + ON "cd1"."cd_marital_status" <> "cd2"."cd_marital_status" + AND "customer"."c_current_cdemo_sk" = "cd2"."cd_demo_sk" + JOIN "promotion" AS "promotion" + ON "store_sales"."ss_promo_sk" = "promotion"."p_promo_sk" + JOIN "hd2" AS "hd1" + ON "store_sales"."ss_hdemo_sk" = "hd1"."hd_demo_sk" + JOIN "ad1" AS "ad1" + ON "store_sales"."ss_addr_sk" = "ad1"."ca_address_sk" + JOIN "ad1" AS "ad2" + ON "customer"."c_current_addr_sk" = "ad2"."ca_address_sk" + JOIN "ib2" AS "ib1" + ON "hd1"."hd_income_band_sk" = "ib1"."ib_income_band_sk" + JOIN "item" AS "item" + ON "item"."i_color" IN ('cyan', 'peach', 'blush', 'frosted', 'powder', 'orange') + AND "item"."i_current_price" <= 68 + AND "item"."i_current_price" >= 59 + AND "store_sales"."ss_item_sk" = "item"."i_item_sk" + GROUP BY + "item"."i_product_name", + "item"."i_item_sk", + "store"."s_store_name", + "store"."s_zip", + "ad1"."ca_street_number", + "ad1"."ca_street_name", + "ad1"."ca_city", + "ad1"."ca_zip", + "ad2"."ca_street_number", + "ad2"."ca_street_name", + "ad2"."ca_city", + "ad2"."ca_zip", + "d1"."d_year", + "d2"."d_year", + "d3"."d_year" +) +SELECT + "cs1"."product_name" AS "product_name", + "cs1"."store_name" AS "store_name", + "cs1"."store_zip" AS "store_zip", + "cs1"."b_street_number" AS "b_street_number", + "cs1"."b_streen_name" AS "b_streen_name", + "cs1"."b_city" AS "b_city", + "cs1"."b_zip" AS "b_zip", + "cs1"."c_street_number" AS "c_street_number", + "cs1"."c_street_name" AS "c_street_name", + "cs1"."c_city" AS "c_city", + "cs1"."c_zip" AS "c_zip", + "cs1"."syear" AS "syear", + "cs1"."cnt" AS "cnt", + "cs1"."s1" AS "s1", + "cs1"."s2" AS "s2", + "cs1"."s3" AS "s3", + "cs2"."s1" AS "s1", + "cs2"."s2" AS "s2", + "cs2"."s3" AS "s3", + "cs2"."syear" AS "syear", + "cs2"."cnt" AS "cnt" +FROM "cross_sales" AS "cs1" +JOIN "cross_sales" AS "cs2" + ON "cs1"."item_sk" = "cs2"."item_sk" + AND "cs1"."store_name" = "cs2"."store_name" + AND "cs1"."store_zip" = "cs2"."store_zip" + AND "cs2"."cnt" <= "cs1"."cnt" + AND "cs2"."syear" = 2002 +WHERE + "cs1"."syear" = 2001 +ORDER BY + "cs1"."product_name", + "cs1"."store_name", + "cs2"."cnt"; + +-------------------------------------- +-- TPC-DS 66 +-------------------------------------- +SELECT w_warehouse_name, + w_warehouse_sq_ft, + w_city, + w_county, + w_state, + w_country, + ship_carriers, + year1, + Sum(jan_sales) AS jan_sales, + Sum(feb_sales) AS feb_sales, + Sum(mar_sales) AS mar_sales, + Sum(apr_sales) AS apr_sales, + Sum(may_sales) AS may_sales, + Sum(jun_sales) AS jun_sales, + Sum(jul_sales) AS jul_sales, + Sum(aug_sales) AS aug_sales, + Sum(sep_sales) AS sep_sales, + Sum(oct_sales) AS oct_sales, + Sum(nov_sales) AS nov_sales, + Sum(dec_sales) AS dec_sales, + Sum(jan_sales / w_warehouse_sq_ft) AS jan_sales_per_sq_foot, + Sum(feb_sales / w_warehouse_sq_ft) AS feb_sales_per_sq_foot, + Sum(mar_sales / w_warehouse_sq_ft) AS mar_sales_per_sq_foot, + Sum(apr_sales / w_warehouse_sq_ft) AS apr_sales_per_sq_foot, + Sum(may_sales / w_warehouse_sq_ft) AS may_sales_per_sq_foot, + Sum(jun_sales / w_warehouse_sq_ft) AS jun_sales_per_sq_foot, + Sum(jul_sales / w_warehouse_sq_ft) AS jul_sales_per_sq_foot, + Sum(aug_sales / w_warehouse_sq_ft) AS aug_sales_per_sq_foot, + Sum(sep_sales / w_warehouse_sq_ft) AS sep_sales_per_sq_foot, + Sum(oct_sales / w_warehouse_sq_ft) AS oct_sales_per_sq_foot, + Sum(nov_sales / w_warehouse_sq_ft) AS nov_sales_per_sq_foot, + Sum(dec_sales / w_warehouse_sq_ft) AS dec_sales_per_sq_foot, + Sum(jan_net) AS jan_net, + Sum(feb_net) AS feb_net, + Sum(mar_net) AS mar_net, + Sum(apr_net) AS apr_net, + Sum(may_net) AS may_net, + Sum(jun_net) AS jun_net, + Sum(jul_net) AS jul_net, + Sum(aug_net) AS aug_net, + Sum(sep_net) AS sep_net, + Sum(oct_net) AS oct_net, + Sum(nov_net) AS nov_net, + Sum(dec_net) AS dec_net +FROM (SELECT w_warehouse_name, + w_warehouse_sq_ft, + w_city, + w_county, + w_state, + w_country, + 'ZOUROS' + || ',' + || 'ZHOU' AS ship_carriers, + d_year AS year1, + Sum(CASE + WHEN d_moy = 1 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS jan_sales, + Sum(CASE + WHEN d_moy = 2 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS feb_sales, + Sum(CASE + WHEN d_moy = 3 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS mar_sales, + Sum(CASE + WHEN d_moy = 4 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS apr_sales, + Sum(CASE + WHEN d_moy = 5 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS may_sales, + Sum(CASE + WHEN d_moy = 6 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS jun_sales, + Sum(CASE + WHEN d_moy = 7 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS jul_sales, + Sum(CASE + WHEN d_moy = 8 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS aug_sales, + Sum(CASE + WHEN d_moy = 9 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS sep_sales, + Sum(CASE + WHEN d_moy = 10 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS oct_sales, + Sum(CASE + WHEN d_moy = 11 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS nov_sales, + Sum(CASE + WHEN d_moy = 12 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS dec_sales, + Sum(CASE + WHEN d_moy = 1 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS jan_net, + Sum(CASE + WHEN d_moy = 2 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS feb_net, + Sum(CASE + WHEN d_moy = 3 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS mar_net, + Sum(CASE + WHEN d_moy = 4 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS apr_net, + Sum(CASE + WHEN d_moy = 5 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS may_net, + Sum(CASE + WHEN d_moy = 6 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS jun_net, + Sum(CASE + WHEN d_moy = 7 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS jul_net, + Sum(CASE + WHEN d_moy = 8 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS aug_net, + Sum(CASE + WHEN d_moy = 9 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS sep_net, + Sum(CASE + WHEN d_moy = 10 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS oct_net, + Sum(CASE + WHEN d_moy = 11 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS nov_net, + Sum(CASE + WHEN d_moy = 12 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS dec_net + FROM web_sales, + warehouse, + date_dim, + time_dim, + ship_mode + WHERE ws_warehouse_sk = w_warehouse_sk + AND ws_sold_date_sk = d_date_sk + AND ws_sold_time_sk = t_time_sk + AND ws_ship_mode_sk = sm_ship_mode_sk + AND d_year = 1998 + AND t_time BETWEEN 7249 AND 7249 + 28800 + AND sm_carrier IN ( 'ZOUROS', 'ZHOU' ) + GROUP BY w_warehouse_name, + w_warehouse_sq_ft, + w_city, + w_county, + w_state, + w_country, + d_year + UNION ALL + SELECT w_warehouse_name, + w_warehouse_sq_ft, + w_city, + w_county, + w_state, + w_country, + 'ZOUROS' + || ',' + || 'ZHOU' AS ship_carriers, + d_year AS year1, + Sum(CASE + WHEN d_moy = 1 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS jan_sales, + Sum(CASE + WHEN d_moy = 2 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS feb_sales, + Sum(CASE + WHEN d_moy = 3 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS mar_sales, + Sum(CASE + WHEN d_moy = 4 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS apr_sales, + Sum(CASE + WHEN d_moy = 5 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS may_sales, + Sum(CASE + WHEN d_moy = 6 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS jun_sales, + Sum(CASE + WHEN d_moy = 7 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS jul_sales, + Sum(CASE + WHEN d_moy = 8 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS aug_sales, + Sum(CASE + WHEN d_moy = 9 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS sep_sales, + Sum(CASE + WHEN d_moy = 10 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS oct_sales, + Sum(CASE + WHEN d_moy = 11 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS nov_sales, + Sum(CASE + WHEN d_moy = 12 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS dec_sales, + Sum(CASE + WHEN d_moy = 1 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS jan_net, + Sum(CASE + WHEN d_moy = 2 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS feb_net, + Sum(CASE + WHEN d_moy = 3 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS mar_net, + Sum(CASE + WHEN d_moy = 4 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS apr_net, + Sum(CASE + WHEN d_moy = 5 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS may_net, + Sum(CASE + WHEN d_moy = 6 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS jun_net, + Sum(CASE + WHEN d_moy = 7 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS jul_net, + Sum(CASE + WHEN d_moy = 8 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS aug_net, + Sum(CASE + WHEN d_moy = 9 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS sep_net, + Sum(CASE + WHEN d_moy = 10 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS oct_net, + Sum(CASE + WHEN d_moy = 11 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS nov_net, + Sum(CASE + WHEN d_moy = 12 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS dec_net + FROM catalog_sales, + warehouse, + date_dim, + time_dim, + ship_mode + WHERE cs_warehouse_sk = w_warehouse_sk + AND cs_sold_date_sk = d_date_sk + AND cs_sold_time_sk = t_time_sk + AND cs_ship_mode_sk = sm_ship_mode_sk + AND d_year = 1998 + AND t_time BETWEEN 7249 AND 7249 + 28800 + AND sm_carrier IN ( 'ZOUROS', 'ZHOU' ) + GROUP BY w_warehouse_name, + w_warehouse_sq_ft, + w_city, + w_county, + w_state, + w_country, + d_year) x +GROUP BY w_warehouse_name, + w_warehouse_sq_ft, + w_city, + w_county, + w_state, + w_country, + ship_carriers, + year1 +ORDER BY w_warehouse_name +LIMIT 100; +WITH "warehouse_2" AS ( + SELECT + "warehouse"."w_warehouse_sk" AS "w_warehouse_sk", + "warehouse"."w_warehouse_name" AS "w_warehouse_name", + "warehouse"."w_warehouse_sq_ft" AS "w_warehouse_sq_ft", + "warehouse"."w_city" AS "w_city", + "warehouse"."w_county" AS "w_county", + "warehouse"."w_state" AS "w_state", + "warehouse"."w_country" AS "w_country" + FROM "warehouse" AS "warehouse" +), "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_moy" AS "d_moy" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_year" = 1998 +), "time_dim_2" AS ( + SELECT + "time_dim"."t_time_sk" AS "t_time_sk", + "time_dim"."t_time" AS "t_time" + FROM "time_dim" AS "time_dim" + WHERE + "time_dim"."t_time" <= 36049 AND "time_dim"."t_time" >= 7249 +), "ship_mode_2" AS ( + SELECT + "ship_mode"."sm_ship_mode_sk" AS "sm_ship_mode_sk", + "ship_mode"."sm_carrier" AS "sm_carrier" + FROM "ship_mode" AS "ship_mode" + WHERE + "ship_mode"."sm_carrier" IN ('ZOUROS', 'ZHOU') +), "cte" AS ( + SELECT + "warehouse"."w_warehouse_name" AS "w_warehouse_name", + "warehouse"."w_warehouse_sq_ft" AS "w_warehouse_sq_ft", + "warehouse"."w_city" AS "w_city", + "warehouse"."w_county" AS "w_county", + "warehouse"."w_state" AS "w_state", + "warehouse"."w_country" AS "w_country", + 'ZOUROS' || ',' || 'ZHOU' AS "ship_carriers", + "date_dim"."d_year" AS "year1", + SUM( + CASE + WHEN "date_dim"."d_moy" = 1 + THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "jan_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 2 + THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "feb_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 3 + THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "mar_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 4 + THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "apr_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 5 + THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "may_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 6 + THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "jun_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 7 + THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "jul_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 8 + THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "aug_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 9 + THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "sep_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 10 + THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "oct_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 11 + THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "nov_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 12 + THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "dec_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 1 + THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "jan_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 2 + THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "feb_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 3 + THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "mar_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 4 + THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "apr_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 5 + THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "may_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 6 + THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "jun_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 7 + THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "jul_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 8 + THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "aug_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 9 + THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "sep_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 10 + THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "oct_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 11 + THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "nov_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 12 + THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity" + ELSE 0 + END + ) AS "dec_net" + FROM "web_sales" AS "web_sales" + JOIN "warehouse_2" AS "warehouse" + ON "web_sales"."ws_warehouse_sk" = "warehouse"."w_warehouse_sk" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "time_dim_2" AS "time_dim" + ON "web_sales"."ws_sold_time_sk" = "time_dim"."t_time_sk" + JOIN "ship_mode_2" AS "ship_mode" + ON "web_sales"."ws_ship_mode_sk" = "ship_mode"."sm_ship_mode_sk" + GROUP BY + "warehouse"."w_warehouse_name", + "warehouse"."w_warehouse_sq_ft", + "warehouse"."w_city", + "warehouse"."w_county", + "warehouse"."w_state", + "warehouse"."w_country", + "date_dim"."d_year" +), "cte_2" AS ( + SELECT + "warehouse"."w_warehouse_name" AS "w_warehouse_name", + "warehouse"."w_warehouse_sq_ft" AS "w_warehouse_sq_ft", + "warehouse"."w_city" AS "w_city", + "warehouse"."w_county" AS "w_county", + "warehouse"."w_state" AS "w_state", + "warehouse"."w_country" AS "w_country", + 'ZOUROS' || ',' || 'ZHOU' AS "ship_carriers", + "date_dim"."d_year" AS "year1", + SUM( + CASE + WHEN "date_dim"."d_moy" = 1 + THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "jan_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 2 + THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "feb_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 3 + THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "mar_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 4 + THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "apr_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 5 + THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "may_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 6 + THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "jun_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 7 + THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "jul_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 8 + THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "aug_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 9 + THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "sep_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 10 + THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "oct_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 11 + THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "nov_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 12 + THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "dec_sales", + SUM( + CASE + WHEN "date_dim"."d_moy" = 1 + THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "jan_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 2 + THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "feb_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 3 + THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "mar_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 4 + THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "apr_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 5 + THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "may_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 6 + THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "jun_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 7 + THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "jul_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 8 + THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "aug_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 9 + THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "sep_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 10 + THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "oct_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 11 + THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "nov_net", + SUM( + CASE + WHEN "date_dim"."d_moy" = 12 + THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity" + ELSE 0 + END + ) AS "dec_net" + FROM "catalog_sales" AS "catalog_sales" + JOIN "warehouse_2" AS "warehouse" + ON "catalog_sales"."cs_warehouse_sk" = "warehouse"."w_warehouse_sk" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "time_dim_2" AS "time_dim" + ON "catalog_sales"."cs_sold_time_sk" = "time_dim"."t_time_sk" + JOIN "ship_mode_2" AS "ship_mode" + ON "catalog_sales"."cs_ship_mode_sk" = "ship_mode"."sm_ship_mode_sk" + GROUP BY + "warehouse"."w_warehouse_name", + "warehouse"."w_warehouse_sq_ft", + "warehouse"."w_city", + "warehouse"."w_county", + "warehouse"."w_state", + "warehouse"."w_country", + "date_dim"."d_year" +), "x" AS ( + SELECT + "cte"."w_warehouse_name" AS "w_warehouse_name", + "cte"."w_warehouse_sq_ft" AS "w_warehouse_sq_ft", + "cte"."w_city" AS "w_city", + "cte"."w_county" AS "w_county", + "cte"."w_state" AS "w_state", + "cte"."w_country" AS "w_country", + "cte"."ship_carriers" AS "ship_carriers", + "cte"."year1" AS "year1", + "cte"."jan_sales" AS "jan_sales", + "cte"."feb_sales" AS "feb_sales", + "cte"."mar_sales" AS "mar_sales", + "cte"."apr_sales" AS "apr_sales", + "cte"."may_sales" AS "may_sales", + "cte"."jun_sales" AS "jun_sales", + "cte"."jul_sales" AS "jul_sales", + "cte"."aug_sales" AS "aug_sales", + "cte"."sep_sales" AS "sep_sales", + "cte"."oct_sales" AS "oct_sales", + "cte"."nov_sales" AS "nov_sales", + "cte"."dec_sales" AS "dec_sales", + "cte"."jan_net" AS "jan_net", + "cte"."feb_net" AS "feb_net", + "cte"."mar_net" AS "mar_net", + "cte"."apr_net" AS "apr_net", + "cte"."may_net" AS "may_net", + "cte"."jun_net" AS "jun_net", + "cte"."jul_net" AS "jul_net", + "cte"."aug_net" AS "aug_net", + "cte"."sep_net" AS "sep_net", + "cte"."oct_net" AS "oct_net", + "cte"."nov_net" AS "nov_net", + "cte"."dec_net" AS "dec_net" + FROM "cte" AS "cte" + UNION ALL + SELECT + "cte_2"."w_warehouse_name" AS "w_warehouse_name", + "cte_2"."w_warehouse_sq_ft" AS "w_warehouse_sq_ft", + "cte_2"."w_city" AS "w_city", + "cte_2"."w_county" AS "w_county", + "cte_2"."w_state" AS "w_state", + "cte_2"."w_country" AS "w_country", + "cte_2"."ship_carriers" AS "ship_carriers", + "cte_2"."year1" AS "year1", + "cte_2"."jan_sales" AS "jan_sales", + "cte_2"."feb_sales" AS "feb_sales", + "cte_2"."mar_sales" AS "mar_sales", + "cte_2"."apr_sales" AS "apr_sales", + "cte_2"."may_sales" AS "may_sales", + "cte_2"."jun_sales" AS "jun_sales", + "cte_2"."jul_sales" AS "jul_sales", + "cte_2"."aug_sales" AS "aug_sales", + "cte_2"."sep_sales" AS "sep_sales", + "cte_2"."oct_sales" AS "oct_sales", + "cte_2"."nov_sales" AS "nov_sales", + "cte_2"."dec_sales" AS "dec_sales", + "cte_2"."jan_net" AS "jan_net", + "cte_2"."feb_net" AS "feb_net", + "cte_2"."mar_net" AS "mar_net", + "cte_2"."apr_net" AS "apr_net", + "cte_2"."may_net" AS "may_net", + "cte_2"."jun_net" AS "jun_net", + "cte_2"."jul_net" AS "jul_net", + "cte_2"."aug_net" AS "aug_net", + "cte_2"."sep_net" AS "sep_net", + "cte_2"."oct_net" AS "oct_net", + "cte_2"."nov_net" AS "nov_net", + "cte_2"."dec_net" AS "dec_net" + FROM "cte_2" AS "cte_2" +) +SELECT + "x"."w_warehouse_name" AS "w_warehouse_name", + "x"."w_warehouse_sq_ft" AS "w_warehouse_sq_ft", + "x"."w_city" AS "w_city", + "x"."w_county" AS "w_county", + "x"."w_state" AS "w_state", + "x"."w_country" AS "w_country", + "x"."ship_carriers" AS "ship_carriers", + "x"."year1" AS "year1", + SUM("x"."jan_sales") AS "jan_sales", + SUM("x"."feb_sales") AS "feb_sales", + SUM("x"."mar_sales") AS "mar_sales", + SUM("x"."apr_sales") AS "apr_sales", + SUM("x"."may_sales") AS "may_sales", + SUM("x"."jun_sales") AS "jun_sales", + SUM("x"."jul_sales") AS "jul_sales", + SUM("x"."aug_sales") AS "aug_sales", + SUM("x"."sep_sales") AS "sep_sales", + SUM("x"."oct_sales") AS "oct_sales", + SUM("x"."nov_sales") AS "nov_sales", + SUM("x"."dec_sales") AS "dec_sales", + SUM("x"."jan_sales" / "x"."w_warehouse_sq_ft") AS "jan_sales_per_sq_foot", + SUM("x"."feb_sales" / "x"."w_warehouse_sq_ft") AS "feb_sales_per_sq_foot", + SUM("x"."mar_sales" / "x"."w_warehouse_sq_ft") AS "mar_sales_per_sq_foot", + SUM("x"."apr_sales" / "x"."w_warehouse_sq_ft") AS "apr_sales_per_sq_foot", + SUM("x"."may_sales" / "x"."w_warehouse_sq_ft") AS "may_sales_per_sq_foot", + SUM("x"."jun_sales" / "x"."w_warehouse_sq_ft") AS "jun_sales_per_sq_foot", + SUM("x"."jul_sales" / "x"."w_warehouse_sq_ft") AS "jul_sales_per_sq_foot", + SUM("x"."aug_sales" / "x"."w_warehouse_sq_ft") AS "aug_sales_per_sq_foot", + SUM("x"."sep_sales" / "x"."w_warehouse_sq_ft") AS "sep_sales_per_sq_foot", + SUM("x"."oct_sales" / "x"."w_warehouse_sq_ft") AS "oct_sales_per_sq_foot", + SUM("x"."nov_sales" / "x"."w_warehouse_sq_ft") AS "nov_sales_per_sq_foot", + SUM("x"."dec_sales" / "x"."w_warehouse_sq_ft") AS "dec_sales_per_sq_foot", + SUM("x"."jan_net") AS "jan_net", + SUM("x"."feb_net") AS "feb_net", + SUM("x"."mar_net") AS "mar_net", + SUM("x"."apr_net") AS "apr_net", + SUM("x"."may_net") AS "may_net", + SUM("x"."jun_net") AS "jun_net", + SUM("x"."jul_net") AS "jul_net", + SUM("x"."aug_net") AS "aug_net", + SUM("x"."sep_net") AS "sep_net", + SUM("x"."oct_net") AS "oct_net", + SUM("x"."nov_net") AS "nov_net", + SUM("x"."dec_net") AS "dec_net" +FROM "x" AS "x" +GROUP BY + "x"."w_warehouse_name", + "x"."w_warehouse_sq_ft", + "x"."w_city", + "x"."w_county", + "x"."w_state", + "x"."w_country", + "x"."ship_carriers", + "x"."year1" +ORDER BY + "w_warehouse_name" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 67 +-------------------------------------- +select * +from (select i_category + ,i_class + ,i_brand + ,i_product_name + ,d_year + ,d_qoy + ,d_moy + ,s_store_id + ,sumsales + ,rank() over (partition by i_category order by sumsales desc) rk + from (select i_category + ,i_class + ,i_brand + ,i_product_name + ,d_year + ,d_qoy + ,d_moy + ,s_store_id + ,sum(coalesce(ss_sales_price*ss_quantity,0)) sumsales + from store_sales + ,date_dim + ,store + ,item + where ss_sold_date_sk=d_date_sk + and ss_item_sk=i_item_sk + and ss_store_sk = s_store_sk + and d_month_seq between 1181 and 1181+11 + group by rollup(i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy,s_store_id))dw1) dw2 +where rk <= 100 +order by i_category + ,i_class + ,i_brand + ,i_product_name + ,d_year + ,d_qoy + ,d_moy + ,s_store_id + ,sumsales + ,rk +limit 100 +; +WITH "dw1" AS ( + SELECT + "item"."i_category" AS "i_category", + "item"."i_class" AS "i_class", + "item"."i_brand" AS "i_brand", + "item"."i_product_name" AS "i_product_name", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_qoy" AS "d_qoy", + "date_dim"."d_moy" AS "d_moy", + "store"."s_store_id" AS "s_store_id", + SUM(COALESCE("store_sales"."ss_sales_price" * "store_sales"."ss_quantity", 0)) AS "sumsales" + FROM "store_sales" AS "store_sales" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_month_seq" <= 1192 + AND "date_dim"."d_month_seq" >= 1181 + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_store_sk" + JOIN "item" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + GROUP BY + ROLLUP ( + "item"."i_category", + "item"."i_class", + "item"."i_brand", + "item"."i_product_name", + "date_dim"."d_year", + "date_dim"."d_qoy", + "date_dim"."d_moy", + "store"."s_store_id" + ) +), "dw2" AS ( + SELECT + "dw1"."i_category" AS "i_category", + "dw1"."i_class" AS "i_class", + "dw1"."i_brand" AS "i_brand", + "dw1"."i_product_name" AS "i_product_name", + "dw1"."d_year" AS "d_year", + "dw1"."d_qoy" AS "d_qoy", + "dw1"."d_moy" AS "d_moy", + "dw1"."s_store_id" AS "s_store_id", + "dw1"."sumsales" AS "sumsales", + RANK() OVER (PARTITION BY "dw1"."i_category" ORDER BY "dw1"."sumsales" DESC) AS "rk" + FROM "dw1" AS "dw1" +) +SELECT + "dw2"."i_category" AS "i_category", + "dw2"."i_class" AS "i_class", + "dw2"."i_brand" AS "i_brand", + "dw2"."i_product_name" AS "i_product_name", + "dw2"."d_year" AS "d_year", + "dw2"."d_qoy" AS "d_qoy", + "dw2"."d_moy" AS "d_moy", + "dw2"."s_store_id" AS "s_store_id", + "dw2"."sumsales" AS "sumsales", + "dw2"."rk" AS "rk" +FROM "dw2" AS "dw2" +WHERE + "dw2"."rk" <= 100 +ORDER BY + "dw2"."i_category", + "dw2"."i_class", + "dw2"."i_brand", + "dw2"."i_product_name", + "dw2"."d_year", + "dw2"."d_qoy", + "dw2"."d_moy", + "dw2"."s_store_id", + "dw2"."sumsales", + "dw2"."rk" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 68 +-------------------------------------- +SELECT c_last_name, + c_first_name, + ca_city, + bought_city, + ss_ticket_number, + extended_price, + extended_tax, + list_price +FROM (SELECT ss_ticket_number, + ss_customer_sk, + ca_city bought_city, + Sum(ss_ext_sales_price) extended_price, + Sum(ss_ext_list_price) list_price, + Sum(ss_ext_tax) extended_tax + FROM store_sales, + date_dim, + store, + household_demographics, + customer_address + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND store_sales.ss_addr_sk = customer_address.ca_address_sk + AND date_dim.d_dom BETWEEN 1 AND 2 + AND ( household_demographics.hd_dep_count = 8 + OR household_demographics.hd_vehicle_count = 3 ) + AND date_dim.d_year IN ( 1998, 1998 + 1, 1998 + 2 ) + AND store.s_city IN ( 'Fairview', 'Midway' ) + GROUP BY ss_ticket_number, + ss_customer_sk, + ss_addr_sk, + ca_city) dn, + customer, + customer_address current_addr +WHERE ss_customer_sk = c_customer_sk + AND customer.c_current_addr_sk = current_addr.ca_address_sk + AND current_addr.ca_city <> bought_city +ORDER BY c_last_name, + ss_ticket_number +LIMIT 100; +WITH "customer_address_2" AS ( + SELECT + "customer_address"."ca_address_sk" AS "ca_address_sk", + "customer_address"."ca_city" AS "ca_city" + FROM "customer_address" AS "customer_address" +), "dn" AS ( + SELECT + "store_sales"."ss_ticket_number" AS "ss_ticket_number", + "store_sales"."ss_customer_sk" AS "ss_customer_sk", + "customer_address"."ca_city" AS "bought_city", + SUM("store_sales"."ss_ext_sales_price") AS "extended_price", + SUM("store_sales"."ss_ext_list_price") AS "list_price", + SUM("store_sales"."ss_ext_tax") AS "extended_tax" + FROM "store_sales" AS "store_sales" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_dom" <= 2 + AND "date_dim"."d_dom" >= 1 + AND "date_dim"."d_year" IN (1998, 1999, 2000) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store"."s_city" IN ('Fairview', 'Midway') + AND "store_sales"."ss_store_sk" = "store"."s_store_sk" + JOIN "household_demographics" AS "household_demographics" + ON ( + "household_demographics"."hd_dep_count" = 8 + OR "household_demographics"."hd_vehicle_count" = 3 + ) + AND "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + JOIN "customer_address_2" AS "customer_address" + ON "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + GROUP BY + "store_sales"."ss_ticket_number", + "store_sales"."ss_customer_sk", + "store_sales"."ss_addr_sk", + "customer_address"."ca_city" +) +SELECT + "customer"."c_last_name" AS "c_last_name", + "customer"."c_first_name" AS "c_first_name", + "current_addr"."ca_city" AS "ca_city", + "dn"."bought_city" AS "bought_city", + "dn"."ss_ticket_number" AS "ss_ticket_number", + "dn"."extended_price" AS "extended_price", + "dn"."extended_tax" AS "extended_tax", + "dn"."list_price" AS "list_price" +FROM "dn" AS "dn" +JOIN "customer_address_2" AS "current_addr" + ON "current_addr"."ca_city" <> "dn"."bought_city" +JOIN "customer" AS "customer" + ON "customer"."c_current_addr_sk" = "current_addr"."ca_address_sk" + AND "dn"."ss_customer_sk" = "customer"."c_customer_sk" +ORDER BY + "c_last_name", + "ss_ticket_number" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 69 +-------------------------------------- +SELECT cd_gender, + cd_marital_status, + cd_education_status, + Count(*) cnt1, + cd_purchase_estimate, + Count(*) cnt2, + cd_credit_rating, + Count(*) cnt3 +FROM customer c, + customer_address ca, + customer_demographics +WHERE c.c_current_addr_sk = ca.ca_address_sk + AND ca_state IN ( 'KS', 'AZ', 'NE' ) + AND cd_demo_sk = c.c_current_cdemo_sk + AND EXISTS (SELECT * + FROM store_sales, + date_dim + WHERE c.c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 2004 + AND d_moy BETWEEN 3 AND 3 + 2) + AND ( NOT EXISTS (SELECT * + FROM web_sales, + date_dim + WHERE c.c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 2004 + AND d_moy BETWEEN 3 AND 3 + 2) + AND NOT EXISTS (SELECT * + FROM catalog_sales, + date_dim + WHERE c.c_customer_sk = cs_ship_customer_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 2004 + AND d_moy BETWEEN 3 AND 3 + 2) ) +GROUP BY cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating +ORDER BY cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating +LIMIT 100; +WITH "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_date_id" AS "d_date_id", + "date_dim"."d_date" AS "d_date", + "date_dim"."d_month_seq" AS "d_month_seq", + "date_dim"."d_week_seq" AS "d_week_seq", + "date_dim"."d_quarter_seq" AS "d_quarter_seq", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_dow" AS "d_dow", + "date_dim"."d_moy" AS "d_moy", + "date_dim"."d_dom" AS "d_dom", + "date_dim"."d_qoy" AS "d_qoy", + "date_dim"."d_fy_year" AS "d_fy_year", + "date_dim"."d_fy_quarter_seq" AS "d_fy_quarter_seq", + "date_dim"."d_fy_week_seq" AS "d_fy_week_seq", + "date_dim"."d_day_name" AS "d_day_name", + "date_dim"."d_quarter_name" AS "d_quarter_name", + "date_dim"."d_holiday" AS "d_holiday", + "date_dim"."d_weekend" AS "d_weekend", + "date_dim"."d_following_holiday" AS "d_following_holiday", + "date_dim"."d_first_dom" AS "d_first_dom", + "date_dim"."d_last_dom" AS "d_last_dom", + "date_dim"."d_same_day_ly" AS "d_same_day_ly", + "date_dim"."d_same_day_lq" AS "d_same_day_lq", + "date_dim"."d_current_day" AS "d_current_day", + "date_dim"."d_current_week" AS "d_current_week", + "date_dim"."d_current_month" AS "d_current_month", + "date_dim"."d_current_quarter" AS "d_current_quarter", + "date_dim"."d_current_year" AS "d_current_year" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_moy" <= 5 AND "date_dim"."d_moy" >= 3 AND "date_dim"."d_year" = 2004 +), "_u_0" AS ( + SELECT + "store_sales"."ss_customer_sk" AS "_u_1" + FROM "store_sales" AS "store_sales" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "store_sales"."ss_customer_sk" +), "_u_2" AS ( + SELECT + "web_sales"."ws_bill_customer_sk" AS "_u_3" + FROM "web_sales" AS "web_sales" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "web_sales"."ws_bill_customer_sk" +), "_u_4" AS ( + SELECT + "catalog_sales"."cs_ship_customer_sk" AS "_u_5" + FROM "catalog_sales" AS "catalog_sales" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "catalog_sales"."cs_ship_customer_sk" +) +SELECT + "customer_demographics"."cd_gender" AS "cd_gender", + "customer_demographics"."cd_marital_status" AS "cd_marital_status", + "customer_demographics"."cd_education_status" AS "cd_education_status", + COUNT(*) AS "cnt1", + "customer_demographics"."cd_purchase_estimate" AS "cd_purchase_estimate", + COUNT(*) AS "cnt2", + "customer_demographics"."cd_credit_rating" AS "cd_credit_rating", + COUNT(*) AS "cnt3" +FROM "customer" AS "customer" +LEFT JOIN "_u_0" AS "_u_0" + ON "customer"."c_customer_sk" = "_u_0"."_u_1" +LEFT JOIN "_u_2" AS "_u_2" + ON "customer"."c_customer_sk" = "_u_2"."_u_3" +LEFT JOIN "_u_4" AS "_u_4" + ON "customer"."c_customer_sk" = "_u_4"."_u_5" +JOIN "customer_address" AS "customer_address" + ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk" + AND "customer_address"."ca_state" IN ('KS', 'AZ', 'NE') +JOIN "customer_demographics" AS "customer_demographics" + ON "customer_demographics"."cd_demo_sk" = "customer"."c_current_cdemo_sk" +WHERE + "_u_2"."_u_3" IS NULL AND "_u_4"."_u_5" IS NULL AND NOT "_u_0"."_u_1" IS NULL +GROUP BY + "customer_demographics"."cd_gender", + "customer_demographics"."cd_marital_status", + "customer_demographics"."cd_education_status", + "customer_demographics"."cd_purchase_estimate", + "customer_demographics"."cd_credit_rating" +ORDER BY + "cd_gender", + "cd_marital_status", + "cd_education_status", + "cd_purchase_estimate", + "cd_credit_rating" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 70 +-------------------------------------- +SELECT Sum(ss_net_profit) AS total_sum, + s_state, + s_county, + Grouping(s_state) + Grouping(s_county) AS lochierarchy, + Rank() + OVER ( + partition BY Grouping(s_state)+Grouping(s_county), CASE WHEN + Grouping( + s_county) = 0 THEN s_state END + ORDER BY Sum(ss_net_profit) DESC) AS rank_within_parent +FROM store_sales, + date_dim d1, + store +WHERE d1.d_month_seq BETWEEN 1200 AND 1200 + 11 + AND d1.d_date_sk = ss_sold_date_sk + AND s_store_sk = ss_store_sk + AND s_state IN (SELECT s_state + FROM (SELECT s_state AS + s_state, + Rank() + OVER ( + partition BY s_state + ORDER BY Sum(ss_net_profit) DESC) AS + ranking + FROM store_sales, + store, + date_dim + WHERE d_month_seq BETWEEN 1200 AND 1200 + 11 + AND d_date_sk = ss_sold_date_sk + AND s_store_sk = ss_store_sk + GROUP BY s_state) tmp1 + WHERE ranking <= 5) +GROUP BY rollup( s_state, s_county ) +ORDER BY lochierarchy DESC, + CASE + WHEN lochierarchy = 0 THEN s_state + END, + rank_within_parent +LIMIT 100; +WITH "store_sales_2" AS ( + SELECT + "store_sales"."ss_sold_date_sk" AS "ss_sold_date_sk", + "store_sales"."ss_store_sk" AS "ss_store_sk", + "store_sales"."ss_net_profit" AS "ss_net_profit" + FROM "store_sales" AS "store_sales" +), "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_month_seq" AS "d_month_seq" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_month_seq" <= 1211 AND "date_dim"."d_month_seq" >= 1200 +), "tmp1" AS ( + SELECT + "store"."s_state" AS "s_state", + RANK() OVER (PARTITION BY "store"."s_state" ORDER BY SUM("store_sales"."ss_net_profit") DESC) AS "ranking" + FROM "store_sales_2" AS "store_sales" + JOIN "store" AS "store" + ON "store"."s_store_sk" = "store_sales"."ss_store_sk" + JOIN "date_dim_2" AS "date_dim" + ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk" + GROUP BY + "store"."s_state" +), "_u_0" AS ( + SELECT + "tmp1"."s_state" AS "s_state" + FROM "tmp1" AS "tmp1" + WHERE + "tmp1"."ranking" <= 5 + GROUP BY + "tmp1"."s_state" +) +SELECT + SUM("store_sales"."ss_net_profit") AS "total_sum", + "store"."s_state" AS "s_state", + "store"."s_county" AS "s_county", + GROUPING("store"."s_state") + GROUPING("store"."s_county") AS "lochierarchy", + RANK() OVER (PARTITION BY GROUPING("store"."s_state") + GROUPING("store"."s_county"), CASE WHEN GROUPING("store"."s_county") = 0 THEN "store"."s_state" END ORDER BY SUM("store_sales"."ss_net_profit") DESC) AS "rank_within_parent" +FROM "store_sales_2" AS "store_sales" +JOIN "store" AS "store" + ON "store"."s_store_sk" = "store_sales"."ss_store_sk" +LEFT JOIN "_u_0" AS "_u_0" + ON "store"."s_state" = "_u_0"."s_state" +JOIN "date_dim_2" AS "d1" + ON "d1"."d_date_sk" = "store_sales"."ss_sold_date_sk" +WHERE + NOT "_u_0"."s_state" IS NULL +GROUP BY +ROLLUP ( + "store"."s_state", + "store"."s_county" +) +ORDER BY + "lochierarchy" DESC, + CASE WHEN "lochierarchy" = 0 THEN "store"."s_state" END, + "rank_within_parent" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 71 +-------------------------------------- +SELECT i_brand_id brand_id, + i_brand brand, + t_hour, + t_minute, + Sum(ext_price) ext_price +FROM item, + (SELECT ws_ext_sales_price AS ext_price, + ws_sold_date_sk AS sold_date_sk, + ws_item_sk AS sold_item_sk, + ws_sold_time_sk AS time_sk + FROM web_sales, + date_dim + WHERE d_date_sk = ws_sold_date_sk + AND d_moy = 11 + AND d_year = 2001 + UNION ALL + SELECT cs_ext_sales_price AS ext_price, + cs_sold_date_sk AS sold_date_sk, + cs_item_sk AS sold_item_sk, + cs_sold_time_sk AS time_sk + FROM catalog_sales, + date_dim + WHERE d_date_sk = cs_sold_date_sk + AND d_moy = 11 + AND d_year = 2001 + UNION ALL + SELECT ss_ext_sales_price AS ext_price, + ss_sold_date_sk AS sold_date_sk, + ss_item_sk AS sold_item_sk, + ss_sold_time_sk AS time_sk + FROM store_sales, + date_dim + WHERE d_date_sk = ss_sold_date_sk + AND d_moy = 11 + AND d_year = 2001) AS tmp, + time_dim +WHERE sold_item_sk = i_item_sk + AND i_manager_id = 1 + AND time_sk = t_time_sk + AND ( t_meal_time = 'breakfast' + OR t_meal_time = 'dinner' ) +GROUP BY i_brand, + i_brand_id, + t_hour, + t_minute +ORDER BY ext_price DESC, + i_brand_id; +WITH "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_moy" AS "d_moy" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_moy" = 11 AND "date_dim"."d_year" = 2001 +), "cte_4" AS ( + SELECT + "catalog_sales"."cs_ext_sales_price" AS "ext_price", + "catalog_sales"."cs_item_sk" AS "sold_item_sk", + "catalog_sales"."cs_sold_time_sk" AS "time_sk" + FROM "catalog_sales" AS "catalog_sales" + CROSS JOIN "date_dim_2" AS "date_dim" + WHERE + "date_dim"."d_date_sk" = "catalog_sales"."cs_sold_date_sk" + UNION ALL + SELECT + "store_sales"."ss_ext_sales_price" AS "ext_price", + "store_sales"."ss_item_sk" AS "sold_item_sk", + "store_sales"."ss_sold_time_sk" AS "time_sk" + FROM "store_sales" AS "store_sales" + CROSS JOIN "date_dim_2" AS "date_dim" + WHERE + "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk" +), "tmp" AS ( + SELECT + "web_sales"."ws_ext_sales_price" AS "ext_price", + "web_sales"."ws_item_sk" AS "sold_item_sk", + "web_sales"."ws_sold_time_sk" AS "time_sk" + FROM "web_sales" AS "web_sales" + CROSS JOIN "date_dim_2" AS "date_dim" + WHERE + "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk" + UNION ALL + SELECT + "cte_4"."ext_price" AS "ext_price", + "cte_4"."sold_item_sk" AS "sold_item_sk", + "cte_4"."time_sk" AS "time_sk" + FROM "cte_4" AS "cte_4" +) +SELECT + "item"."i_brand_id" AS "brand_id", + "item"."i_brand" AS "brand", + "time_dim"."t_hour" AS "t_hour", + "time_dim"."t_minute" AS "t_minute", + SUM("tmp"."ext_price") AS "ext_price" +FROM "item" AS "item" +JOIN "tmp" AS "tmp" + ON "tmp"."sold_item_sk" = "item"."i_item_sk" +JOIN "time_dim" AS "time_dim" + ON ( + "time_dim"."t_meal_time" = 'breakfast' OR "time_dim"."t_meal_time" = 'dinner' + ) + AND "tmp"."time_sk" = "time_dim"."t_time_sk" +WHERE + "item"."i_manager_id" = 1 +GROUP BY + "item"."i_brand", + "item"."i_brand_id", + "time_dim"."t_hour", + "time_dim"."t_minute" +ORDER BY + "ext_price" DESC, + "item"."i_brand_id"; + +-------------------------------------- +-- TPC-DS 72 +-------------------------------------- +SELECT i_item_desc, + w_warehouse_name, + d1.d_week_seq, + Sum(CASE + WHEN p_promo_sk IS NULL THEN 1 + ELSE 0 + END) no_promo, + Sum(CASE + WHEN p_promo_sk IS NOT NULL THEN 1 + ELSE 0 + END) promo, + Count(*) total_cnt +FROM catalog_sales + JOIN inventory + ON ( cs_item_sk = inv_item_sk ) + JOIN warehouse + ON ( w_warehouse_sk = inv_warehouse_sk ) + JOIN item + ON ( i_item_sk = cs_item_sk ) + JOIN customer_demographics + ON ( cs_bill_cdemo_sk = cd_demo_sk ) + JOIN household_demographics + ON ( cs_bill_hdemo_sk = hd_demo_sk ) + JOIN date_dim d1 + ON ( cs_sold_date_sk = d1.d_date_sk ) + JOIN date_dim d2 + ON ( inv_date_sk = d2.d_date_sk ) + JOIN date_dim d3 + ON ( cs_ship_date_sk = d3.d_date_sk ) + LEFT OUTER JOIN promotion + ON ( cs_promo_sk = p_promo_sk ) + LEFT OUTER JOIN catalog_returns + ON ( cr_item_sk = cs_item_sk + AND cr_order_number = cs_order_number ) +WHERE d1.d_week_seq = d2.d_week_seq + AND inv_quantity_on_hand < cs_quantity + AND d3.d_date > d1.d_date + INTERVAL '5' day + AND hd_buy_potential = '501-1000' + AND d1.d_year = 2002 + AND cd_marital_status = 'M' +GROUP BY i_item_desc, + w_warehouse_name, + d1.d_week_seq +ORDER BY total_cnt DESC, + i_item_desc, + w_warehouse_name, + d_week_seq +LIMIT 100; +SELECT + "item"."i_item_desc" AS "i_item_desc", + "warehouse"."w_warehouse_name" AS "w_warehouse_name", + "date_dim_2"."d_week_seq" AS "d_week_seq", + SUM(CASE WHEN "promotion"."p_promo_sk" IS NULL THEN 1 ELSE 0 END) AS "no_promo", + SUM(CASE WHEN NOT "promotion"."p_promo_sk" IS NULL THEN 1 ELSE 0 END) AS "promo", + COUNT(*) AS "total_cnt" +FROM "catalog_sales" AS "catalog_sales" +JOIN "inventory" AS "inventory" + ON "catalog_sales"."cs_item_sk" = "inventory"."inv_item_sk" + AND "inventory"."inv_quantity_on_hand" < "catalog_sales"."cs_quantity" +JOIN "warehouse" AS "warehouse" + ON "warehouse"."w_warehouse_sk" = "inventory"."inv_warehouse_sk" +JOIN "item" AS "item" + ON "item"."i_item_sk" = "catalog_sales"."cs_item_sk" +JOIN "customer_demographics" AS "customer_demographics" + ON "catalog_sales"."cs_bill_cdemo_sk" = "customer_demographics"."cd_demo_sk" + AND "customer_demographics"."cd_marital_status" = 'M' +JOIN "household_demographics" AS "household_demographics" + ON "catalog_sales"."cs_bill_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "household_demographics"."hd_buy_potential" = '501-1000' +JOIN "date_dim" AS "date_dim" + ON "inventory"."inv_date_sk" = "date_dim"."d_date_sk" +JOIN "date_dim" AS "date_dim_2" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim_2"."d_date_sk" + AND "date_dim_2"."d_week_seq" = "date_dim"."d_week_seq" + AND "date_dim_2"."d_year" = 2002 +JOIN "date_dim" AS "date_dim_3" + ON "catalog_sales"."cs_ship_date_sk" = "date_dim_3"."d_date_sk" + AND "date_dim_3"."d_date" > CONCAT("date_dim_2"."d_date", INTERVAL '5' "day") +LEFT JOIN "promotion" AS "promotion" + ON "catalog_sales"."cs_promo_sk" = "promotion"."p_promo_sk" +LEFT JOIN "catalog_returns" AS "catalog_returns" + ON "catalog_returns"."cr_item_sk" = "catalog_sales"."cs_item_sk" + AND "catalog_returns"."cr_order_number" = "catalog_sales"."cs_order_number" +GROUP BY + "item"."i_item_desc", + "warehouse"."w_warehouse_name", + "date_dim_2"."d_week_seq" +ORDER BY + "total_cnt" DESC, + "i_item_desc", + "w_warehouse_name", + "d_week_seq" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 73 +-------------------------------------- +SELECT c_last_name, + c_first_name, + c_salutation, + c_preferred_cust_flag, + ss_ticket_number, + cnt +FROM (SELECT ss_ticket_number, + ss_customer_sk, + Count(*) cnt + FROM store_sales, + date_dim, + store, + household_demographics + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND date_dim.d_dom BETWEEN 1 AND 2 + AND ( household_demographics.hd_buy_potential = '>10000' + OR household_demographics.hd_buy_potential = '0-500' ) + AND household_demographics.hd_vehicle_count > 0 + AND CASE + WHEN household_demographics.hd_vehicle_count > 0 THEN + household_demographics.hd_dep_count / + household_demographics.hd_vehicle_count + ELSE NULL + END > 1 + AND date_dim.d_year IN ( 2000, 2000 + 1, 2000 + 2 ) + AND store.s_county IN ( 'Williamson County', 'Williamson County', + 'Williamson County', + 'Williamson County' + ) + GROUP BY ss_ticket_number, + ss_customer_sk) dj, + customer +WHERE ss_customer_sk = c_customer_sk + AND cnt BETWEEN 1 AND 5 +ORDER BY cnt DESC, + c_last_name ASC; +WITH "dj" AS ( + SELECT + "store_sales"."ss_ticket_number" AS "ss_ticket_number", + "store_sales"."ss_customer_sk" AS "ss_customer_sk", + COUNT(*) AS "cnt" + FROM "store_sales" AS "store_sales" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_dom" <= 2 + AND "date_dim"."d_dom" >= 1 + AND "date_dim"."d_year" IN (2000, 2001, 2002) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store"."s_county" IN ('Williamson County', 'Williamson County', 'Williamson County', 'Williamson County') + AND "store_sales"."ss_store_sk" = "store"."s_store_sk" + JOIN "household_demographics" AS "household_demographics" + ON ( + "household_demographics"."hd_buy_potential" = '0-500' + OR "household_demographics"."hd_buy_potential" = '>10000' + ) + AND "household_demographics"."hd_vehicle_count" > 0 + AND "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND CASE + WHEN "household_demographics"."hd_vehicle_count" > 0 + THEN "household_demographics"."hd_dep_count" / "household_demographics"."hd_vehicle_count" + ELSE NULL + END > 1 + GROUP BY + "store_sales"."ss_ticket_number", + "store_sales"."ss_customer_sk" +) +SELECT + "customer"."c_last_name" AS "c_last_name", + "customer"."c_first_name" AS "c_first_name", + "customer"."c_salutation" AS "c_salutation", + "customer"."c_preferred_cust_flag" AS "c_preferred_cust_flag", + "dj"."ss_ticket_number" AS "ss_ticket_number", + "dj"."cnt" AS "cnt" +FROM "dj" AS "dj" +JOIN "customer" AS "customer" + ON "dj"."ss_customer_sk" = "customer"."c_customer_sk" +WHERE + "dj"."cnt" <= 5 AND "dj"."cnt" >= 1 +ORDER BY + "cnt" DESC, + "c_last_name"; + +-------------------------------------- +-- TPC-DS 74 +-------------------------------------- +WITH year_total + AS (SELECT c_customer_id customer_id, + c_first_name customer_first_name, + c_last_name customer_last_name, + d_year AS year1, + Sum(ss_net_paid) year_total, + 's' sale_type + FROM customer, + store_sales, + date_dim + WHERE c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year IN ( 1999, 1999 + 1 ) + GROUP BY c_customer_id, + c_first_name, + c_last_name, + d_year + UNION ALL + SELECT c_customer_id customer_id, + c_first_name customer_first_name, + c_last_name customer_last_name, + d_year AS year1, + Sum(ws_net_paid) year_total, + 'w' sale_type + FROM customer, + web_sales, + date_dim + WHERE c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + AND d_year IN ( 1999, 1999 + 1 ) + GROUP BY c_customer_id, + c_first_name, + c_last_name, + d_year) +SELECT t_s_secyear.customer_id, + t_s_secyear.customer_first_name, + t_s_secyear.customer_last_name +FROM year_total t_s_firstyear, + year_total t_s_secyear, + year_total t_w_firstyear, + year_total t_w_secyear +WHERE t_s_secyear.customer_id = t_s_firstyear.customer_id + AND t_s_firstyear.customer_id = t_w_secyear.customer_id + AND t_s_firstyear.customer_id = t_w_firstyear.customer_id + AND t_s_firstyear.sale_type = 's' + AND t_w_firstyear.sale_type = 'w' + AND t_s_secyear.sale_type = 's' + AND t_w_secyear.sale_type = 'w' + AND t_s_firstyear.year1 = 1999 + AND t_s_secyear.year1 = 1999 + 1 + AND t_w_firstyear.year1 = 1999 + AND t_w_secyear.year1 = 1999 + 1 + AND t_s_firstyear.year_total > 0 + AND t_w_firstyear.year_total > 0 + AND CASE + WHEN t_w_firstyear.year_total > 0 THEN t_w_secyear.year_total / + t_w_firstyear.year_total + ELSE NULL + END > CASE + WHEN t_s_firstyear.year_total > 0 THEN + t_s_secyear.year_total / + t_s_firstyear.year_total + ELSE NULL + END +ORDER BY 1, + 2, + 3 +LIMIT 100; +WITH "customer_2" AS ( + SELECT + "customer"."c_customer_sk" AS "c_customer_sk", + "customer"."c_customer_id" AS "c_customer_id", + "customer"."c_first_name" AS "c_first_name", + "customer"."c_last_name" AS "c_last_name" + FROM "customer" AS "customer" +), "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_year" IN (1999, 2000) +), "cte" AS ( + SELECT + "customer"."c_customer_id" AS "customer_id", + "customer"."c_first_name" AS "customer_first_name", + "customer"."c_last_name" AS "customer_last_name", + "date_dim"."d_year" AS "year1", + SUM("store_sales"."ss_net_paid") AS "year_total", + 's' AS "sale_type" + FROM "customer_2" AS "customer" + JOIN "store_sales" AS "store_sales" + ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "customer"."c_customer_id", + "customer"."c_first_name", + "customer"."c_last_name", + "date_dim"."d_year" +), "cte_2" AS ( + SELECT + "customer"."c_customer_id" AS "customer_id", + "customer"."c_first_name" AS "customer_first_name", + "customer"."c_last_name" AS "customer_last_name", + "date_dim"."d_year" AS "year1", + SUM("web_sales"."ws_net_paid") AS "year_total", + 'w' AS "sale_type" + FROM "customer_2" AS "customer" + JOIN "web_sales" AS "web_sales" + ON "customer"."c_customer_sk" = "web_sales"."ws_bill_customer_sk" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "customer"."c_customer_id", + "customer"."c_first_name", + "customer"."c_last_name", + "date_dim"."d_year" +), "year_total" AS ( + SELECT + "cte"."customer_id" AS "customer_id", + "cte"."customer_first_name" AS "customer_first_name", + "cte"."customer_last_name" AS "customer_last_name", + "cte"."year1" AS "year1", + "cte"."year_total" AS "year_total", + "cte"."sale_type" AS "sale_type" + FROM "cte" AS "cte" + UNION ALL + SELECT + "cte_2"."customer_id" AS "customer_id", + "cte_2"."customer_first_name" AS "customer_first_name", + "cte_2"."customer_last_name" AS "customer_last_name", + "cte_2"."year1" AS "year1", + "cte_2"."year_total" AS "year_total", + "cte_2"."sale_type" AS "sale_type" + FROM "cte_2" AS "cte_2" +) +SELECT + "t_s_secyear"."customer_id" AS "customer_id", + "t_s_secyear"."customer_first_name" AS "customer_first_name", + "t_s_secyear"."customer_last_name" AS "customer_last_name" +FROM "year_total" AS "t_s_firstyear" +JOIN "year_total" AS "t_s_secyear" + ON "t_s_secyear"."customer_id" = "t_s_firstyear"."customer_id" + AND "t_s_secyear"."sale_type" = 's' + AND "t_s_secyear"."year1" = 2000 +JOIN "year_total" AS "t_w_secyear" + ON "t_s_firstyear"."customer_id" = "t_w_secyear"."customer_id" + AND "t_w_secyear"."sale_type" = 'w' + AND "t_w_secyear"."year1" = 2000 +JOIN "year_total" AS "t_w_firstyear" + ON "t_s_firstyear"."customer_id" = "t_w_firstyear"."customer_id" + AND "t_w_firstyear"."sale_type" = 'w' + AND "t_w_firstyear"."year1" = 1999 + AND "t_w_firstyear"."year_total" > 0 + AND CASE + WHEN "t_w_firstyear"."year_total" > 0 + THEN "t_w_secyear"."year_total" / "t_w_firstyear"."year_total" + ELSE NULL + END > CASE + WHEN "t_s_firstyear"."year_total" > 0 + THEN "t_s_secyear"."year_total" / "t_s_firstyear"."year_total" + ELSE NULL + END +WHERE + "t_s_firstyear"."sale_type" = 's' + AND "t_s_firstyear"."year1" = 1999 + AND "t_s_firstyear"."year_total" > 0 +ORDER BY + "t_s_secyear"."customer_id", + "t_s_secyear"."customer_first_name", + "t_s_secyear"."customer_last_name" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 75 +-------------------------------------- +WITH all_sales + AS (SELECT d_year, + i_brand_id, + i_class_id, + i_category_id, + i_manufact_id, + Sum(sales_cnt) AS sales_cnt, + Sum(sales_amt) AS sales_amt + FROM (SELECT d_year, + i_brand_id, + i_class_id, + i_category_id, + i_manufact_id, + cs_quantity - COALESCE(cr_return_quantity, 0) AS + sales_cnt, + cs_ext_sales_price - COALESCE(cr_return_amount, 0.0) AS + sales_amt + FROM catalog_sales + JOIN item + ON i_item_sk = cs_item_sk + JOIN date_dim + ON d_date_sk = cs_sold_date_sk + LEFT JOIN catalog_returns + ON ( cs_order_number = cr_order_number + AND cs_item_sk = cr_item_sk ) + WHERE i_category = 'Men' + UNION + SELECT d_year, + i_brand_id, + i_class_id, + i_category_id, + i_manufact_id, + ss_quantity - COALESCE(sr_return_quantity, 0) AS + sales_cnt, + ss_ext_sales_price - COALESCE(sr_return_amt, 0.0) AS + sales_amt + FROM store_sales + JOIN item + ON i_item_sk = ss_item_sk + JOIN date_dim + ON d_date_sk = ss_sold_date_sk + LEFT JOIN store_returns + ON ( ss_ticket_number = sr_ticket_number + AND ss_item_sk = sr_item_sk ) + WHERE i_category = 'Men' + UNION + SELECT d_year, + i_brand_id, + i_class_id, + i_category_id, + i_manufact_id, + ws_quantity - COALESCE(wr_return_quantity, 0) AS + sales_cnt, + ws_ext_sales_price - COALESCE(wr_return_amt, 0.0) AS + sales_amt + FROM web_sales + JOIN item + ON i_item_sk = ws_item_sk + JOIN date_dim + ON d_date_sk = ws_sold_date_sk + LEFT JOIN web_returns + ON ( ws_order_number = wr_order_number + AND ws_item_sk = wr_item_sk ) + WHERE i_category = 'Men') sales_detail + GROUP BY d_year, + i_brand_id, + i_class_id, + i_category_id, + i_manufact_id) +SELECT prev_yr.d_year AS prev_year, + curr_yr.d_year AS year1, + curr_yr.i_brand_id, + curr_yr.i_class_id, + curr_yr.i_category_id, + curr_yr.i_manufact_id, + prev_yr.sales_cnt AS prev_yr_cnt, + curr_yr.sales_cnt AS curr_yr_cnt, + curr_yr.sales_cnt - prev_yr.sales_cnt AS sales_cnt_diff, + curr_yr.sales_amt - prev_yr.sales_amt AS sales_amt_diff +FROM all_sales curr_yr, + all_sales prev_yr +WHERE curr_yr.i_brand_id = prev_yr.i_brand_id + AND curr_yr.i_class_id = prev_yr.i_class_id + AND curr_yr.i_category_id = prev_yr.i_category_id + AND curr_yr.i_manufact_id = prev_yr.i_manufact_id + AND curr_yr.d_year = 2002 + AND prev_yr.d_year = 2002 - 1 + AND Cast(curr_yr.sales_cnt AS DECIMAL(17, 2)) / Cast(prev_yr.sales_cnt AS + DECIMAL(17, 2)) + < 0.9 +ORDER BY sales_cnt_diff +LIMIT 100; +WITH "item_2" AS ( + SELECT + "item"."i_item_sk" AS "i_item_sk", + "item"."i_brand_id" AS "i_brand_id", + "item"."i_class_id" AS "i_class_id", + "item"."i_category_id" AS "i_category_id", + "item"."i_category" AS "i_category", + "item"."i_manufact_id" AS "i_manufact_id" + FROM "item" AS "item" + WHERE + "item"."i_category" = 'Men' +), "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year" + FROM "date_dim" AS "date_dim" +), "cte_4" AS ( + SELECT + "date_dim"."d_year" AS "d_year", + "item"."i_brand_id" AS "i_brand_id", + "item"."i_class_id" AS "i_class_id", + "item"."i_category_id" AS "i_category_id", + "item"."i_manufact_id" AS "i_manufact_id", + "store_sales"."ss_quantity" - COALESCE("store_returns"."sr_return_quantity", 0) AS "sales_cnt", + "store_sales"."ss_ext_sales_price" - COALESCE("store_returns"."sr_return_amt", 0.0) AS "sales_amt" + FROM "store_sales" AS "store_sales" + JOIN "item_2" AS "item" + ON "item"."i_item_sk" = "store_sales"."ss_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk" + LEFT JOIN "store_returns" AS "store_returns" + ON "store_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + AND "store_sales"."ss_ticket_number" = "store_returns"."sr_ticket_number" + UNION + SELECT + "date_dim"."d_year" AS "d_year", + "item"."i_brand_id" AS "i_brand_id", + "item"."i_class_id" AS "i_class_id", + "item"."i_category_id" AS "i_category_id", + "item"."i_manufact_id" AS "i_manufact_id", + "web_sales"."ws_quantity" - COALESCE("web_returns"."wr_return_quantity", 0) AS "sales_cnt", + "web_sales"."ws_ext_sales_price" - COALESCE("web_returns"."wr_return_amt", 0.0) AS "sales_amt" + FROM "web_sales" AS "web_sales" + JOIN "item_2" AS "item" + ON "item"."i_item_sk" = "web_sales"."ws_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk" + LEFT JOIN "web_returns" AS "web_returns" + ON "web_sales"."ws_item_sk" = "web_returns"."wr_item_sk" + AND "web_sales"."ws_order_number" = "web_returns"."wr_order_number" +), "sales_detail" AS ( + SELECT + "date_dim"."d_year" AS "d_year", + "item"."i_brand_id" AS "i_brand_id", + "item"."i_class_id" AS "i_class_id", + "item"."i_category_id" AS "i_category_id", + "item"."i_manufact_id" AS "i_manufact_id", + "catalog_sales"."cs_quantity" - COALESCE("catalog_returns"."cr_return_quantity", 0) AS "sales_cnt", + "catalog_sales"."cs_ext_sales_price" - COALESCE("catalog_returns"."cr_return_amount", 0.0) AS "sales_amt" + FROM "catalog_sales" AS "catalog_sales" + JOIN "item_2" AS "item" + ON "item"."i_item_sk" = "catalog_sales"."cs_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "date_dim"."d_date_sk" = "catalog_sales"."cs_sold_date_sk" + LEFT JOIN "catalog_returns" AS "catalog_returns" + ON "catalog_sales"."cs_item_sk" = "catalog_returns"."cr_item_sk" + AND "catalog_sales"."cs_order_number" = "catalog_returns"."cr_order_number" + UNION + SELECT + "cte_4"."d_year" AS "d_year", + "cte_4"."i_brand_id" AS "i_brand_id", + "cte_4"."i_class_id" AS "i_class_id", + "cte_4"."i_category_id" AS "i_category_id", + "cte_4"."i_manufact_id" AS "i_manufact_id", + "cte_4"."sales_cnt" AS "sales_cnt", + "cte_4"."sales_amt" AS "sales_amt" + FROM "cte_4" AS "cte_4" +), "all_sales" AS ( + SELECT + "sales_detail"."d_year" AS "d_year", + "sales_detail"."i_brand_id" AS "i_brand_id", + "sales_detail"."i_class_id" AS "i_class_id", + "sales_detail"."i_category_id" AS "i_category_id", + "sales_detail"."i_manufact_id" AS "i_manufact_id", + SUM("sales_detail"."sales_cnt") AS "sales_cnt", + SUM("sales_detail"."sales_amt") AS "sales_amt" + FROM "sales_detail" AS "sales_detail" + GROUP BY + "sales_detail"."d_year", + "sales_detail"."i_brand_id", + "sales_detail"."i_class_id", + "sales_detail"."i_category_id", + "sales_detail"."i_manufact_id" +) +SELECT + "prev_yr"."d_year" AS "prev_year", + "curr_yr"."d_year" AS "year1", + "curr_yr"."i_brand_id" AS "i_brand_id", + "curr_yr"."i_class_id" AS "i_class_id", + "curr_yr"."i_category_id" AS "i_category_id", + "curr_yr"."i_manufact_id" AS "i_manufact_id", + "prev_yr"."sales_cnt" AS "prev_yr_cnt", + "curr_yr"."sales_cnt" AS "curr_yr_cnt", + "curr_yr"."sales_cnt" - "prev_yr"."sales_cnt" AS "sales_cnt_diff", + "curr_yr"."sales_amt" - "prev_yr"."sales_amt" AS "sales_amt_diff" +FROM "all_sales" AS "curr_yr" +JOIN "all_sales" AS "prev_yr" + ON "curr_yr"."i_brand_id" = "prev_yr"."i_brand_id" + AND "curr_yr"."i_category_id" = "prev_yr"."i_category_id" + AND "curr_yr"."i_class_id" = "prev_yr"."i_class_id" + AND "curr_yr"."i_manufact_id" = "prev_yr"."i_manufact_id" + AND "prev_yr"."d_year" = 2001 + AND CAST("curr_yr"."sales_cnt" AS DECIMAL(17, 2)) / CAST("prev_yr"."sales_cnt" AS DECIMAL(17, 2)) < 0.9 +WHERE + "curr_yr"."d_year" = 2002 +ORDER BY + "sales_cnt_diff" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 76 +-------------------------------------- +SELECT channel, + col_name, + d_year, + d_qoy, + i_category, + Count(*) sales_cnt, + Sum(ext_sales_price) sales_amt +FROM (SELECT 'store' AS channel, + 'ss_hdemo_sk' col_name, + d_year, + d_qoy, + i_category, + ss_ext_sales_price ext_sales_price + FROM store_sales, + item, + date_dim + WHERE ss_hdemo_sk IS NULL + AND ss_sold_date_sk = d_date_sk + AND ss_item_sk = i_item_sk + UNION ALL + SELECT 'web' AS channel, + 'ws_ship_hdemo_sk' col_name, + d_year, + d_qoy, + i_category, + ws_ext_sales_price ext_sales_price + FROM web_sales, + item, + date_dim + WHERE ws_ship_hdemo_sk IS NULL + AND ws_sold_date_sk = d_date_sk + AND ws_item_sk = i_item_sk + UNION ALL + SELECT 'catalog' AS channel, + 'cs_warehouse_sk' col_name, + d_year, + d_qoy, + i_category, + cs_ext_sales_price ext_sales_price + FROM catalog_sales, + item, + date_dim + WHERE cs_warehouse_sk IS NULL + AND cs_sold_date_sk = d_date_sk + AND cs_item_sk = i_item_sk) foo +GROUP BY channel, + col_name, + d_year, + d_qoy, + i_category +ORDER BY channel, + col_name, + d_year, + d_qoy, + i_category +LIMIT 100; +WITH "item_2" AS ( + SELECT + "item"."i_item_sk" AS "i_item_sk", + "item"."i_category" AS "i_category" + FROM "item" AS "item" +), "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_qoy" AS "d_qoy" + FROM "date_dim" AS "date_dim" +), "cte_4" AS ( + SELECT + 'web' AS "channel", + 'ws_ship_hdemo_sk' AS "col_name", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_qoy" AS "d_qoy", + "item"."i_category" AS "i_category", + "web_sales"."ws_ext_sales_price" AS "ext_sales_price" + FROM "web_sales" AS "web_sales" + JOIN "item_2" AS "item" + ON "web_sales"."ws_item_sk" = "item"."i_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + "web_sales"."ws_ship_hdemo_sk" IS NULL + UNION ALL + SELECT + 'catalog' AS "channel", + 'cs_warehouse_sk' AS "col_name", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_qoy" AS "d_qoy", + "item"."i_category" AS "i_category", + "catalog_sales"."cs_ext_sales_price" AS "ext_sales_price" + FROM "catalog_sales" AS "catalog_sales" + JOIN "item_2" AS "item" + ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + "catalog_sales"."cs_warehouse_sk" IS NULL +), "foo" AS ( + SELECT + 'store' AS "channel", + 'ss_hdemo_sk' AS "col_name", + "date_dim"."d_year" AS "d_year", + "date_dim"."d_qoy" AS "d_qoy", + "item"."i_category" AS "i_category", + "store_sales"."ss_ext_sales_price" AS "ext_sales_price" + FROM "store_sales" AS "store_sales" + JOIN "item_2" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + "store_sales"."ss_hdemo_sk" IS NULL + UNION ALL + SELECT + "cte_4"."channel" AS "channel", + "cte_4"."col_name" AS "col_name", + "cte_4"."d_year" AS "d_year", + "cte_4"."d_qoy" AS "d_qoy", + "cte_4"."i_category" AS "i_category", + "cte_4"."ext_sales_price" AS "ext_sales_price" + FROM "cte_4" AS "cte_4" +) +SELECT + "foo"."channel" AS "channel", + "foo"."col_name" AS "col_name", + "foo"."d_year" AS "d_year", + "foo"."d_qoy" AS "d_qoy", + "foo"."i_category" AS "i_category", + COUNT(*) AS "sales_cnt", + SUM("foo"."ext_sales_price") AS "sales_amt" +FROM "foo" AS "foo" +GROUP BY + "foo"."channel", + "foo"."col_name", + "foo"."d_year", + "foo"."d_qoy", + "foo"."i_category" +ORDER BY + "channel", + "col_name", + "d_year", + "d_qoy", + "i_category" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 77 +-------------------------------------- + +WITH ss AS +( + SELECT s_store_sk, + Sum(ss_ext_sales_price) AS sales, + Sum(ss_net_profit) AS profit + FROM store_sales, + date_dim, + store + WHERE ss_sold_date_sk = d_date_sk + AND d_date BETWEEN Cast('2001-08-16' AS DATE) AND ( + Cast('2001-08-16' AS DATE) + INTERVAL '30' day) + AND ss_store_sk = s_store_sk + GROUP BY s_store_sk) , sr AS +( + SELECT s_store_sk, + sum(sr_return_amt) AS returns1, + sum(sr_net_loss) AS profit_loss + FROM store_returns, + date_dim, + store + WHERE sr_returned_date_sk = d_date_sk + AND d_date BETWEEN cast('2001-08-16' AS date) AND ( + cast('2001-08-16' AS date) + INTERVAL '30' day) + AND sr_store_sk = s_store_sk + GROUP BY s_store_sk), cs AS +( + SELECT cs_call_center_sk, + sum(cs_ext_sales_price) AS sales, + sum(cs_net_profit) AS profit + FROM catalog_sales, + date_dim + WHERE cs_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('2001-08-16' AS date) AND ( + cast('2001-08-16' AS date) + INTERVAL '30' day) + GROUP BY cs_call_center_sk ), cr AS +( + SELECT cr_call_center_sk, + sum(cr_return_amount) AS returns1, + sum(cr_net_loss) AS profit_loss + FROM catalog_returns, + date_dim + WHERE cr_returned_date_sk = d_date_sk + AND d_date BETWEEN cast('2001-08-16' AS date) AND ( + cast('2001-08-16' AS date) + INTERVAL '30' day) + GROUP BY cr_call_center_sk ), ws AS +( + SELECT wp_web_page_sk, + sum(ws_ext_sales_price) AS sales, + sum(ws_net_profit) AS profit + FROM web_sales, + date_dim, + web_page + WHERE ws_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('2001-08-16' AS date) AND ( + cast('2001-08-16' AS date) + INTERVAL '30' day) + AND ws_web_page_sk = wp_web_page_sk + GROUP BY wp_web_page_sk), wr AS +( + SELECT wp_web_page_sk, + sum(wr_return_amt) AS returns1, + sum(wr_net_loss) AS profit_loss + FROM web_returns, + date_dim, + web_page + WHERE wr_returned_date_sk = d_date_sk + AND d_date BETWEEN cast('2001-08-16' AS date) AND ( + cast('2001-08-16' AS date) + INTERVAL '30' day) + AND wr_web_page_sk = wp_web_page_sk + GROUP BY wp_web_page_sk) +SELECT + channel , + id , + sum(sales) AS sales , + sum(returns1) AS returns1 , + sum(profit) AS profit +FROM ( + SELECT 'store channel' AS channel , + ss.s_store_sk AS id , + sales , + COALESCE(returns1, 0) AS returns1 , + (profit - COALESCE(profit_loss,0)) AS profit + FROM ss + LEFT JOIN sr + ON ss.s_store_sk = sr.s_store_sk + UNION ALL + SELECT 'catalog channel' AS channel , + cs_call_center_sk AS id , + sales , + returns1 , + (profit - profit_loss) AS profit + FROM cs , + cr + UNION ALL + SELECT 'web channel' AS channel , + ws.wp_web_page_sk AS id , + sales , + COALESCE(returns1, 0) returns1 , + (profit - COALESCE(profit_loss,0)) AS profit + FROM ws + LEFT JOIN wr + ON ws.wp_web_page_sk = wr.wp_web_page_sk ) x +GROUP BY rollup (channel, id) +ORDER BY channel , + id +LIMIT 100; +WITH "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_date" AS "d_date" + FROM "date_dim" AS "date_dim" + WHERE + CAST("date_dim"."d_date" AS DATE) <= CAST('2001-09-15' AS DATE) + AND CAST("date_dim"."d_date" AS DATE) >= CAST('2001-08-16' AS DATE) +), "store_2" AS ( + SELECT + "store"."s_store_sk" AS "s_store_sk" + FROM "store" AS "store" +), "ss" AS ( + SELECT + "store"."s_store_sk" AS "s_store_sk", + SUM("store_sales"."ss_ext_sales_price") AS "sales", + SUM("store_sales"."ss_net_profit") AS "profit" + FROM "store_sales" AS "store_sales" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store_2" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_store_sk" + GROUP BY + "store"."s_store_sk" +), "sr" AS ( + SELECT + "store"."s_store_sk" AS "s_store_sk", + SUM("store_returns"."sr_return_amt") AS "returns1", + SUM("store_returns"."sr_net_loss") AS "profit_loss" + FROM "store_returns" AS "store_returns" + JOIN "date_dim_2" AS "date_dim" + ON "store_returns"."sr_returned_date_sk" = "date_dim"."d_date_sk" + JOIN "store_2" AS "store" + ON "store_returns"."sr_store_sk" = "store"."s_store_sk" + GROUP BY + "store"."s_store_sk" +), "cs" AS ( + SELECT + "catalog_sales"."cs_call_center_sk" AS "cs_call_center_sk", + SUM("catalog_sales"."cs_ext_sales_price") AS "sales", + SUM("catalog_sales"."cs_net_profit") AS "profit" + FROM "catalog_sales" AS "catalog_sales" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "catalog_sales"."cs_call_center_sk" +), "cr" AS ( + SELECT + SUM("catalog_returns"."cr_return_amount") AS "returns1", + SUM("catalog_returns"."cr_net_loss") AS "profit_loss" + FROM "catalog_returns" AS "catalog_returns" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_returns"."cr_returned_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "catalog_returns"."cr_call_center_sk" +), "web_page_2" AS ( + SELECT + "web_page"."wp_web_page_sk" AS "wp_web_page_sk" + FROM "web_page" AS "web_page" +), "ws" AS ( + SELECT + "web_page"."wp_web_page_sk" AS "wp_web_page_sk", + SUM("web_sales"."ws_ext_sales_price") AS "sales", + SUM("web_sales"."ws_net_profit") AS "profit" + FROM "web_sales" AS "web_sales" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "web_page_2" AS "web_page" + ON "web_sales"."ws_web_page_sk" = "web_page"."wp_web_page_sk" + GROUP BY + "web_page"."wp_web_page_sk" +), "wr" AS ( + SELECT + "web_page"."wp_web_page_sk" AS "wp_web_page_sk", + SUM("web_returns"."wr_return_amt") AS "returns1", + SUM("web_returns"."wr_net_loss") AS "profit_loss" + FROM "web_returns" AS "web_returns" + JOIN "date_dim_2" AS "date_dim" + ON "web_returns"."wr_returned_date_sk" = "date_dim"."d_date_sk" + JOIN "web_page_2" AS "web_page" + ON "web_returns"."wr_web_page_sk" = "web_page"."wp_web_page_sk" + GROUP BY + "web_page"."wp_web_page_sk" +), "cte_4" AS ( + SELECT + 'catalog channel' AS "channel", + "cs"."cs_call_center_sk" AS "id", + "cs"."sales" AS "sales", + "cr"."returns1" AS "returns1", + "cs"."profit" - "cr"."profit_loss" AS "profit" + FROM "cs" + CROSS JOIN "cr" + UNION ALL + SELECT + 'web channel' AS "channel", + "ws"."wp_web_page_sk" AS "id", + "ws"."sales" AS "sales", + COALESCE("wr"."returns1", 0) AS "returns1", + "ws"."profit" - COALESCE("wr"."profit_loss", 0) AS "profit" + FROM "ws" + LEFT JOIN "wr" + ON "ws"."wp_web_page_sk" = "wr"."wp_web_page_sk" +), "x" AS ( + SELECT + 'store channel' AS "channel", + "ss"."s_store_sk" AS "id", + "ss"."sales" AS "sales", + COALESCE("sr"."returns1", 0) AS "returns1", + "ss"."profit" - COALESCE("sr"."profit_loss", 0) AS "profit" + FROM "ss" + LEFT JOIN "sr" + ON "ss"."s_store_sk" = "sr"."s_store_sk" + UNION ALL + SELECT + "cte_4"."channel" AS "channel", + "cte_4"."id" AS "id", + "cte_4"."sales" AS "sales", + "cte_4"."returns1" AS "returns1", + "cte_4"."profit" AS "profit" + FROM "cte_4" AS "cte_4" +) +SELECT + "x"."channel" AS "channel", + "x"."id" AS "id", + SUM("x"."sales") AS "sales", + SUM("x"."returns1") AS "returns1", + SUM("x"."profit") AS "profit" +FROM "x" AS "x" +GROUP BY +ROLLUP ( + "x"."channel", + "x"."id" +) +ORDER BY + "channel", + "id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 78 +-------------------------------------- +WITH ws + AS (SELECT d_year AS ws_sold_year, + ws_item_sk, + ws_bill_customer_sk ws_customer_sk, + Sum(ws_quantity) ws_qty, + Sum(ws_wholesale_cost) ws_wc, + Sum(ws_sales_price) ws_sp + FROM web_sales + LEFT JOIN web_returns + ON wr_order_number = ws_order_number + AND ws_item_sk = wr_item_sk + JOIN date_dim + ON ws_sold_date_sk = d_date_sk + WHERE wr_order_number IS NULL + GROUP BY d_year, + ws_item_sk, + ws_bill_customer_sk), + cs + AS (SELECT d_year AS cs_sold_year, + cs_item_sk, + cs_bill_customer_sk cs_customer_sk, + Sum(cs_quantity) cs_qty, + Sum(cs_wholesale_cost) cs_wc, + Sum(cs_sales_price) cs_sp + FROM catalog_sales + LEFT JOIN catalog_returns + ON cr_order_number = cs_order_number + AND cs_item_sk = cr_item_sk + JOIN date_dim + ON cs_sold_date_sk = d_date_sk + WHERE cr_order_number IS NULL + GROUP BY d_year, + cs_item_sk, + cs_bill_customer_sk), + ss + AS (SELECT d_year AS ss_sold_year, + ss_item_sk, + ss_customer_sk, + Sum(ss_quantity) ss_qty, + Sum(ss_wholesale_cost) ss_wc, + Sum(ss_sales_price) ss_sp + FROM store_sales + LEFT JOIN store_returns + ON sr_ticket_number = ss_ticket_number + AND ss_item_sk = sr_item_sk + JOIN date_dim + ON ss_sold_date_sk = d_date_sk + WHERE sr_ticket_number IS NULL + GROUP BY d_year, + ss_item_sk, + ss_customer_sk) +SELECT ss_item_sk, + Round(ss_qty / ( COALESCE(ws_qty + cs_qty, 1) ), 2) ratio, + ss_qty store_qty, + ss_wc + store_wholesale_cost, + ss_sp + store_sales_price, + COALESCE(ws_qty, 0) + COALESCE(cs_qty, 0) + other_chan_qty, + COALESCE(ws_wc, 0) + COALESCE(cs_wc, 0) + other_chan_wholesale_cost, + COALESCE(ws_sp, 0) + COALESCE(cs_sp, 0) + other_chan_sales_price +FROM ss + LEFT JOIN ws + ON ( ws_sold_year = ss_sold_year + AND ws_item_sk = ss_item_sk + AND ws_customer_sk = ss_customer_sk ) + LEFT JOIN cs + ON ( cs_sold_year = ss_sold_year + AND cs_item_sk = cs_item_sk + AND cs_customer_sk = ss_customer_sk ) +WHERE COALESCE(ws_qty, 0) > 0 + AND COALESCE(cs_qty, 0) > 0 + AND ss_sold_year = 1999 +ORDER BY ss_item_sk, + ss_qty DESC, + ss_wc DESC, + ss_sp DESC, + other_chan_qty, + other_chan_wholesale_cost, + other_chan_sales_price, + Round(ss_qty / ( COALESCE(ws_qty + cs_qty, 1) ), 2) +LIMIT 100; +WITH "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year" + FROM "date_dim" AS "date_dim" +), "ws" AS ( + SELECT + "date_dim"."d_year" AS "ws_sold_year", + "web_sales"."ws_item_sk" AS "ws_item_sk", + "web_sales"."ws_bill_customer_sk" AS "ws_customer_sk", + SUM("web_sales"."ws_quantity") AS "ws_qty", + SUM("web_sales"."ws_wholesale_cost") AS "ws_wc", + SUM("web_sales"."ws_sales_price") AS "ws_sp" + FROM "web_sales" AS "web_sales" + LEFT JOIN "web_returns" AS "web_returns" + ON "web_returns"."wr_order_number" = "web_sales"."ws_order_number" + AND "web_sales"."ws_item_sk" = "web_returns"."wr_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + "web_returns"."wr_order_number" IS NULL + GROUP BY + "date_dim"."d_year", + "web_sales"."ws_item_sk", + "web_sales"."ws_bill_customer_sk" +), "cs" AS ( + SELECT + "date_dim"."d_year" AS "cs_sold_year", + "catalog_sales"."cs_item_sk" AS "cs_item_sk", + "catalog_sales"."cs_bill_customer_sk" AS "cs_customer_sk", + SUM("catalog_sales"."cs_quantity") AS "cs_qty", + SUM("catalog_sales"."cs_wholesale_cost") AS "cs_wc", + SUM("catalog_sales"."cs_sales_price") AS "cs_sp" + FROM "catalog_sales" AS "catalog_sales" + LEFT JOIN "catalog_returns" AS "catalog_returns" + ON "catalog_returns"."cr_order_number" = "catalog_sales"."cs_order_number" + AND "catalog_sales"."cs_item_sk" = "catalog_returns"."cr_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + "catalog_returns"."cr_order_number" IS NULL + GROUP BY + "date_dim"."d_year", + "catalog_sales"."cs_item_sk", + "catalog_sales"."cs_bill_customer_sk" +), "ss" AS ( + SELECT + "date_dim"."d_year" AS "ss_sold_year", + "store_sales"."ss_item_sk" AS "ss_item_sk", + "store_sales"."ss_customer_sk" AS "ss_customer_sk", + SUM("store_sales"."ss_quantity") AS "ss_qty", + SUM("store_sales"."ss_wholesale_cost") AS "ss_wc", + SUM("store_sales"."ss_sales_price") AS "ss_sp" + FROM "store_sales" AS "store_sales" + LEFT JOIN "store_returns" AS "store_returns" + ON "store_returns"."sr_ticket_number" = "store_sales"."ss_ticket_number" + AND "store_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + "store_returns"."sr_ticket_number" IS NULL + GROUP BY + "date_dim"."d_year", + "store_sales"."ss_item_sk", + "store_sales"."ss_customer_sk" +) +SELECT + "ss"."ss_item_sk" AS "ss_item_sk", + ROUND("ss"."ss_qty" / COALESCE("ws"."ws_qty" + "cs"."cs_qty", 1), 2) AS "ratio", + "ss"."ss_qty" AS "store_qty", + "ss"."ss_wc" AS "store_wholesale_cost", + "ss"."ss_sp" AS "store_sales_price", + COALESCE("ws"."ws_qty", 0) + COALESCE("cs"."cs_qty", 0) AS "other_chan_qty", + COALESCE("ws"."ws_wc", 0) + COALESCE("cs"."cs_wc", 0) AS "other_chan_wholesale_cost", + COALESCE("ws"."ws_sp", 0) + COALESCE("cs"."cs_sp", 0) AS "other_chan_sales_price" +FROM "ss" +LEFT JOIN "ws" + ON "ws"."ws_customer_sk" = "ss"."ss_customer_sk" + AND "ws"."ws_item_sk" = "ss"."ss_item_sk" + AND "ws"."ws_sold_year" = "ss"."ss_sold_year" +LEFT JOIN "cs" + ON "cs"."cs_customer_sk" = "ss"."ss_customer_sk" + AND "cs"."cs_item_sk" = "cs"."cs_item_sk" + AND "cs"."cs_sold_year" = "ss"."ss_sold_year" +WHERE + "ss"."ss_sold_year" = 1999 + AND COALESCE("cs"."cs_qty", 0) > 0 + AND COALESCE("ws"."ws_qty", 0) > 0 +ORDER BY + "ss_item_sk", + "ss"."ss_qty" DESC, + "ss"."ss_wc" DESC, + "ss"."ss_sp" DESC, + "other_chan_qty", + "other_chan_wholesale_cost", + "other_chan_sales_price", + ROUND("ss"."ss_qty" / COALESCE("ws"."ws_qty" + "cs"."cs_qty", 1), 2) +LIMIT 100; + +-------------------------------------- +-- TPC-DS 79 +-------------------------------------- +SELECT c_last_name, + c_first_name, + Substr(s_city, 1, 30), + ss_ticket_number, + amt, + profit +FROM (SELECT ss_ticket_number, + ss_customer_sk, + store.s_city, + Sum(ss_coupon_amt) amt, + Sum(ss_net_profit) profit + FROM store_sales, + date_dim, + store, + household_demographics + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND ( household_demographics.hd_dep_count = 8 + OR household_demographics.hd_vehicle_count > 4 ) + AND date_dim.d_dow = 1 + AND date_dim.d_year IN ( 2000, 2000 + 1, 2000 + 2 ) + AND store.s_number_employees BETWEEN 200 AND 295 + GROUP BY ss_ticket_number, + ss_customer_sk, + ss_addr_sk, + store.s_city) ms, + customer +WHERE ss_customer_sk = c_customer_sk +ORDER BY c_last_name, + c_first_name, + Substr(s_city, 1, 30), + profit +LIMIT 100; +WITH "ms" AS ( + SELECT + "store_sales"."ss_ticket_number" AS "ss_ticket_number", + "store_sales"."ss_customer_sk" AS "ss_customer_sk", + "store"."s_city" AS "s_city", + SUM("store_sales"."ss_coupon_amt") AS "amt", + SUM("store_sales"."ss_net_profit") AS "profit" + FROM "store_sales" AS "store_sales" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_dow" = 1 + AND "date_dim"."d_year" IN (2000, 2001, 2002) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store"."s_number_employees" <= 295 + AND "store"."s_number_employees" >= 200 + AND "store_sales"."ss_store_sk" = "store"."s_store_sk" + JOIN "household_demographics" AS "household_demographics" + ON ( + "household_demographics"."hd_dep_count" = 8 + OR "household_demographics"."hd_vehicle_count" > 4 + ) + AND "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + GROUP BY + "store_sales"."ss_ticket_number", + "store_sales"."ss_customer_sk", + "store_sales"."ss_addr_sk", + "store"."s_city" +) +SELECT + "customer"."c_last_name" AS "c_last_name", + "customer"."c_first_name" AS "c_first_name", + SUBSTR("ms"."s_city", 1, 30) AS "_col_2", + "ms"."ss_ticket_number" AS "ss_ticket_number", + "ms"."amt" AS "amt", + "ms"."profit" AS "profit" +FROM "ms" AS "ms" +JOIN "customer" AS "customer" + ON "ms"."ss_customer_sk" = "customer"."c_customer_sk" +ORDER BY + "c_last_name", + "c_first_name", + SUBSTR("ms"."s_city", 1, 30), + "profit" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 80 +-------------------------------------- +WITH ssr AS +( + SELECT s_store_id AS store_id, + Sum(ss_ext_sales_price) AS sales, + Sum(COALESCE(sr_return_amt, 0)) AS returns1, + Sum(ss_net_profit - COALESCE(sr_net_loss, 0)) AS profit + FROM store_sales + LEFT OUTER JOIN store_returns + ON ( + ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number), + date_dim, + store, + item, + promotion + WHERE ss_sold_date_sk = d_date_sk + AND d_date BETWEEN Cast('2000-08-26' AS DATE) AND ( + Cast('2000-08-26' AS DATE) + INTERVAL '30' day) + AND ss_store_sk = s_store_sk + AND ss_item_sk = i_item_sk + AND i_current_price > 50 + AND ss_promo_sk = p_promo_sk + AND p_channel_tv = 'N' + GROUP BY s_store_id) , csr AS +( + SELECT cp_catalog_page_id AS catalog_page_id, + sum(cs_ext_sales_price) AS sales, + sum(COALESCE(cr_return_amount, 0)) AS returns1, + sum(cs_net_profit - COALESCE(cr_net_loss, 0)) AS profit + FROM catalog_sales + LEFT OUTER JOIN catalog_returns + ON ( + cs_item_sk = cr_item_sk + AND cs_order_number = cr_order_number), + date_dim, + catalog_page, + item, + promotion + WHERE cs_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('2000-08-26' AS date) AND ( + cast('2000-08-26' AS date) + INTERVAL '30' day) + AND cs_catalog_page_sk = cp_catalog_page_sk + AND cs_item_sk = i_item_sk + AND i_current_price > 50 + AND cs_promo_sk = p_promo_sk + AND p_channel_tv = 'N' + GROUP BY cp_catalog_page_id) , wsr AS +( + SELECT web_site_id, + sum(ws_ext_sales_price) AS sales, + sum(COALESCE(wr_return_amt, 0)) AS returns1, + sum(ws_net_profit - COALESCE(wr_net_loss, 0)) AS profit + FROM web_sales + LEFT OUTER JOIN web_returns + ON ( + ws_item_sk = wr_item_sk + AND ws_order_number = wr_order_number), + date_dim, + web_site, + item, + promotion + WHERE ws_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('2000-08-26' AS date) AND ( + cast('2000-08-26' AS date) + INTERVAL '30' day) + AND ws_web_site_sk = web_site_sk + AND ws_item_sk = i_item_sk + AND i_current_price > 50 + AND ws_promo_sk = p_promo_sk + AND p_channel_tv = 'N' + GROUP BY web_site_id) +SELECT + channel , + id , + sum(sales) AS sales , + sum(returns1) AS returns1 , + sum(profit) AS profit +FROM ( + SELECT 'store channel' AS channel , + 'store' + || store_id AS id , + sales , + returns1 , + profit + FROM ssr + UNION ALL + SELECT 'catalog channel' AS channel , + 'catalog_page' + || catalog_page_id AS id , + sales , + returns1 , + profit + FROM csr + UNION ALL + SELECT 'web channel' AS channel , + 'web_site' + || web_site_id AS id , + sales , + returns1 , + profit + FROM wsr ) x +GROUP BY rollup (channel, id) +ORDER BY channel , + id +LIMIT 100; +WITH "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_date" AS "d_date" + FROM "date_dim" AS "date_dim" + WHERE + CAST("date_dim"."d_date" AS DATE) <= CAST('2000-09-25' AS DATE) + AND CAST("date_dim"."d_date" AS DATE) >= CAST('2000-08-26' AS DATE) +), "item_2" AS ( + SELECT + "item"."i_item_sk" AS "i_item_sk", + "item"."i_current_price" AS "i_current_price" + FROM "item" AS "item" + WHERE + "item"."i_current_price" > 50 +), "promotion_2" AS ( + SELECT + "promotion"."p_promo_sk" AS "p_promo_sk", + "promotion"."p_channel_tv" AS "p_channel_tv" + FROM "promotion" AS "promotion" + WHERE + "promotion"."p_channel_tv" = 'N' +), "ssr" AS ( + SELECT + "store"."s_store_id" AS "store_id", + SUM("store_sales"."ss_ext_sales_price") AS "sales", + SUM(COALESCE("store_returns"."sr_return_amt", 0)) AS "returns1", + SUM("store_sales"."ss_net_profit" - COALESCE("store_returns"."sr_net_loss", 0)) AS "profit" + FROM "store_sales" AS "store_sales" + LEFT JOIN "store_returns" AS "store_returns" + ON "store_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + AND "store_sales"."ss_ticket_number" = "store_returns"."sr_ticket_number" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_store_sk" + JOIN "item_2" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + JOIN "promotion_2" AS "promotion" + ON "store_sales"."ss_promo_sk" = "promotion"."p_promo_sk" + GROUP BY + "store"."s_store_id" +), "csr" AS ( + SELECT + "catalog_page"."cp_catalog_page_id" AS "catalog_page_id", + SUM("catalog_sales"."cs_ext_sales_price") AS "sales", + SUM(COALESCE("catalog_returns"."cr_return_amount", 0)) AS "returns1", + SUM("catalog_sales"."cs_net_profit" - COALESCE("catalog_returns"."cr_net_loss", 0)) AS "profit" + FROM "catalog_sales" AS "catalog_sales" + LEFT JOIN "catalog_returns" AS "catalog_returns" + ON "catalog_sales"."cs_item_sk" = "catalog_returns"."cr_item_sk" + AND "catalog_sales"."cs_order_number" = "catalog_returns"."cr_order_number" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "catalog_page" AS "catalog_page" + ON "catalog_sales"."cs_catalog_page_sk" = "catalog_page"."cp_catalog_page_sk" + JOIN "item_2" AS "item" + ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk" + JOIN "promotion_2" AS "promotion" + ON "catalog_sales"."cs_promo_sk" = "promotion"."p_promo_sk" + GROUP BY + "catalog_page"."cp_catalog_page_id" +), "wsr" AS ( + SELECT + "web_site"."web_site_id" AS "web_site_id", + SUM("web_sales"."ws_ext_sales_price") AS "sales", + SUM(COALESCE("web_returns"."wr_return_amt", 0)) AS "returns1", + SUM("web_sales"."ws_net_profit" - COALESCE("web_returns"."wr_net_loss", 0)) AS "profit" + FROM "web_sales" AS "web_sales" + LEFT JOIN "web_returns" AS "web_returns" + ON "web_sales"."ws_item_sk" = "web_returns"."wr_item_sk" + AND "web_sales"."ws_order_number" = "web_returns"."wr_order_number" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "web_site" AS "web_site" + ON "web_sales"."ws_web_site_sk" = "web_site"."web_site_sk" + JOIN "item_2" AS "item" + ON "web_sales"."ws_item_sk" = "item"."i_item_sk" + JOIN "promotion_2" AS "promotion" + ON "web_sales"."ws_promo_sk" = "promotion"."p_promo_sk" + GROUP BY + "web_site"."web_site_id" +), "cte_4" AS ( + SELECT + 'catalog channel' AS "channel", + 'catalog_page' || "csr"."catalog_page_id" AS "id", + "csr"."sales" AS "sales", + "csr"."returns1" AS "returns1", + "csr"."profit" AS "profit" + FROM "csr" + UNION ALL + SELECT + 'web channel' AS "channel", + 'web_site' || "wsr"."web_site_id" AS "id", + "wsr"."sales" AS "sales", + "wsr"."returns1" AS "returns1", + "wsr"."profit" AS "profit" + FROM "wsr" +), "x" AS ( + SELECT + 'store channel' AS "channel", + 'store' || "ssr"."store_id" AS "id", + "ssr"."sales" AS "sales", + "ssr"."returns1" AS "returns1", + "ssr"."profit" AS "profit" + FROM "ssr" + UNION ALL + SELECT + "cte_4"."channel" AS "channel", + "cte_4"."id" AS "id", + "cte_4"."sales" AS "sales", + "cte_4"."returns1" AS "returns1", + "cte_4"."profit" AS "profit" + FROM "cte_4" AS "cte_4" +) +SELECT + "x"."channel" AS "channel", + "x"."id" AS "id", + SUM("x"."sales") AS "sales", + SUM("x"."returns1") AS "returns1", + SUM("x"."profit") AS "profit" +FROM "x" AS "x" +GROUP BY +ROLLUP ( + "x"."channel", + "x"."id" +) +ORDER BY + "channel", + "id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 81 +-------------------------------------- + +WITH customer_total_return + AS (SELECT cr_returning_customer_sk AS ctr_customer_sk, + ca_state AS ctr_state, + Sum(cr_return_amt_inc_tax) AS ctr_total_return + FROM catalog_returns, + date_dim, + customer_address + WHERE cr_returned_date_sk = d_date_sk + AND d_year = 1999 + AND cr_returning_addr_sk = ca_address_sk + GROUP BY cr_returning_customer_sk, + ca_state) +SELECT c_customer_id, + c_salutation, + c_first_name, + c_last_name, + ca_street_number, + ca_street_name, + ca_street_type, + ca_suite_number, + ca_city, + ca_county, + ca_state, + ca_zip, + ca_country, + ca_gmt_offset, + ca_location_type, + ctr_total_return +FROM customer_total_return ctr1, + customer_address, + customer +WHERE ctr1.ctr_total_return > (SELECT Avg(ctr_total_return) * 1.2 + FROM customer_total_return ctr2 + WHERE ctr1.ctr_state = ctr2.ctr_state) + AND ca_address_sk = c_current_addr_sk + AND ca_state = 'TX' + AND ctr1.ctr_customer_sk = c_customer_sk +ORDER BY c_customer_id, + c_salutation, + c_first_name, + c_last_name, + ca_street_number, + ca_street_name, + ca_street_type, + ca_suite_number, + ca_city, + ca_county, + ca_state, + ca_zip, + ca_country, + ca_gmt_offset, + ca_location_type, + ctr_total_return +LIMIT 100; +WITH "customer_total_return" AS ( + SELECT + "catalog_returns"."cr_returning_customer_sk" AS "ctr_customer_sk", + "customer_address"."ca_state" AS "ctr_state", + SUM("catalog_returns"."cr_return_amt_inc_tax") AS "ctr_total_return" + FROM "catalog_returns" AS "catalog_returns" + JOIN "date_dim" AS "date_dim" + ON "catalog_returns"."cr_returned_date_sk" = "date_dim"."d_date_sk" + AND "date_dim"."d_year" = 1999 + JOIN "customer_address" AS "customer_address" + ON "catalog_returns"."cr_returning_addr_sk" = "customer_address"."ca_address_sk" + GROUP BY + "catalog_returns"."cr_returning_customer_sk", + "customer_address"."ca_state" +), "_u_0" AS ( + SELECT + AVG("ctr2"."ctr_total_return") * 1.2 AS "_col_0", + "ctr2"."ctr_state" AS "_u_1" + FROM "customer_total_return" AS "ctr2" + GROUP BY + "ctr2"."ctr_state" +) +SELECT + "customer"."c_customer_id" AS "c_customer_id", + "customer"."c_salutation" AS "c_salutation", + "customer"."c_first_name" AS "c_first_name", + "customer"."c_last_name" AS "c_last_name", + "customer_address"."ca_street_number" AS "ca_street_number", + "customer_address"."ca_street_name" AS "ca_street_name", + "customer_address"."ca_street_type" AS "ca_street_type", + "customer_address"."ca_suite_number" AS "ca_suite_number", + "customer_address"."ca_city" AS "ca_city", + "customer_address"."ca_county" AS "ca_county", + "customer_address"."ca_state" AS "ca_state", + "customer_address"."ca_zip" AS "ca_zip", + "customer_address"."ca_country" AS "ca_country", + "customer_address"."ca_gmt_offset" AS "ca_gmt_offset", + "customer_address"."ca_location_type" AS "ca_location_type", + "ctr1"."ctr_total_return" AS "ctr_total_return" +FROM "customer_total_return" AS "ctr1" +LEFT JOIN "_u_0" AS "_u_0" + ON "ctr1"."ctr_state" = "_u_0"."_u_1" +JOIN "customer" AS "customer" + ON "ctr1"."ctr_customer_sk" = "customer"."c_customer_sk" +JOIN "customer_address" AS "customer_address" + ON "customer_address"."ca_address_sk" = "customer"."c_current_addr_sk" + AND "customer_address"."ca_state" = 'TX' +WHERE + "ctr1"."ctr_total_return" > "_u_0"."_col_0" +ORDER BY + "c_customer_id", + "c_salutation", + "c_first_name", + "c_last_name", + "ca_street_number", + "ca_street_name", + "ca_street_type", + "ca_suite_number", + "ca_city", + "ca_county", + "ca_state", + "ca_zip", + "ca_country", + "ca_gmt_offset", + "ca_location_type", + "ctr_total_return" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 82 +-------------------------------------- + +SELECT + i_item_id , + i_item_desc , + i_current_price +FROM item, + inventory, + date_dim, + store_sales +WHERE i_current_price BETWEEN 63 AND 63+30 +AND inv_item_sk = i_item_sk +AND d_date_sk=inv_date_sk +AND d_date BETWEEN Cast('1998-04-27' AS DATE) AND ( + Cast('1998-04-27' AS DATE) + INTERVAL '60' day) +AND i_manufact_id IN (57,293,427,320) +AND inv_quantity_on_hand BETWEEN 100 AND 500 +AND ss_item_sk = i_item_sk +GROUP BY i_item_id, + i_item_desc, + i_current_price +ORDER BY i_item_id +LIMIT 100; +SELECT + "item"."i_item_id" AS "i_item_id", + "item"."i_item_desc" AS "i_item_desc", + "item"."i_current_price" AS "i_current_price" +FROM "item" AS "item" +JOIN "inventory" AS "inventory" + ON "inventory"."inv_item_sk" = "item"."i_item_sk" + AND "inventory"."inv_quantity_on_hand" <= 500 + AND "inventory"."inv_quantity_on_hand" >= 100 +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_date_sk" = "inventory"."inv_date_sk" + AND CAST("date_dim"."d_date" AS DATE) <= CAST('1998-06-26' AS DATE) + AND CAST("date_dim"."d_date" AS DATE) >= CAST('1998-04-27' AS DATE) +JOIN "store_sales" AS "store_sales" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" +WHERE + "item"."i_current_price" <= 93 + AND "item"."i_current_price" >= 63 + AND "item"."i_manufact_id" IN (57, 293, 427, 320) +GROUP BY + "item"."i_item_id", + "item"."i_item_desc", + "item"."i_current_price" +ORDER BY + "i_item_id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 83 +-------------------------------------- +WITH sr_items + AS (SELECT i_item_id item_id, + Sum(sr_return_quantity) sr_item_qty + FROM store_returns, + item, + date_dim + WHERE sr_item_sk = i_item_sk + AND d_date IN (SELECT d_date + FROM date_dim + WHERE d_week_seq IN (SELECT d_week_seq + FROM date_dim + WHERE + d_date IN ( '1999-06-30', + '1999-08-28', + '1999-11-18' + ))) + AND sr_returned_date_sk = d_date_sk + GROUP BY i_item_id), + cr_items + AS (SELECT i_item_id item_id, + Sum(cr_return_quantity) cr_item_qty + FROM catalog_returns, + item, + date_dim + WHERE cr_item_sk = i_item_sk + AND d_date IN (SELECT d_date + FROM date_dim + WHERE d_week_seq IN (SELECT d_week_seq + FROM date_dim + WHERE + d_date IN ( '1999-06-30', + '1999-08-28', + '1999-11-18' + ))) + AND cr_returned_date_sk = d_date_sk + GROUP BY i_item_id), + wr_items + AS (SELECT i_item_id item_id, + Sum(wr_return_quantity) wr_item_qty + FROM web_returns, + item, + date_dim + WHERE wr_item_sk = i_item_sk + AND d_date IN (SELECT d_date + FROM date_dim + WHERE d_week_seq IN (SELECT d_week_seq + FROM date_dim + WHERE + d_date IN ( '1999-06-30', + '1999-08-28', + '1999-11-18' + ))) + AND wr_returned_date_sk = d_date_sk + GROUP BY i_item_id) +SELECT sr_items.item_id, + sr_item_qty, + sr_item_qty / ( sr_item_qty + cr_item_qty + wr_item_qty ) / 3.0 * + 100 sr_dev, + cr_item_qty, + cr_item_qty / ( sr_item_qty + cr_item_qty + wr_item_qty ) / 3.0 * + 100 cr_dev, + wr_item_qty, + wr_item_qty / ( sr_item_qty + cr_item_qty + wr_item_qty ) / 3.0 * + 100 wr_dev, + ( sr_item_qty + cr_item_qty + wr_item_qty ) / 3.0 + average +FROM sr_items, + cr_items, + wr_items +WHERE sr_items.item_id = cr_items.item_id + AND sr_items.item_id = wr_items.item_id +ORDER BY sr_items.item_id, + sr_item_qty +LIMIT 100; +WITH "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_date" AS "d_date" + FROM "date_dim" AS "date_dim" +), "_u_0" AS ( + SELECT + "date_dim"."d_week_seq" AS "d_week_seq" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_date" IN ('1999-06-30', '1999-08-28', '1999-11-18') + GROUP BY + "date_dim"."d_week_seq" +), "_u_1" AS ( + SELECT + "date_dim"."d_date" AS "d_date" + FROM "date_dim" AS "date_dim" + LEFT JOIN "_u_0" AS "_u_0" + ON "date_dim"."d_week_seq" = "_u_0"."d_week_seq" + WHERE + NOT "_u_0"."d_week_seq" IS NULL + GROUP BY + "date_dim"."d_date" +), "item_2" AS ( + SELECT + "item"."i_item_sk" AS "i_item_sk", + "item"."i_item_id" AS "i_item_id" + FROM "item" AS "item" +), "sr_items" AS ( + SELECT + "item"."i_item_id" AS "item_id", + SUM("store_returns"."sr_return_quantity") AS "sr_item_qty" + FROM "store_returns" AS "store_returns" + JOIN "date_dim_2" AS "date_dim" + ON "store_returns"."sr_returned_date_sk" = "date_dim"."d_date_sk" + LEFT JOIN "_u_1" AS "_u_1" + ON "date_dim"."d_date" = "_u_1"."d_date" + JOIN "item_2" AS "item" + ON "store_returns"."sr_item_sk" = "item"."i_item_sk" + WHERE + NOT "_u_1"."d_date" IS NULL + GROUP BY + "item"."i_item_id" +), "_u_3" AS ( + SELECT + "date_dim"."d_date" AS "d_date" + FROM "date_dim" AS "date_dim" + LEFT JOIN "_u_0" AS "_u_2" + ON "date_dim"."d_week_seq" = "_u_2"."d_week_seq" + WHERE + NOT "_u_2"."d_week_seq" IS NULL + GROUP BY + "date_dim"."d_date" +), "cr_items" AS ( + SELECT + "item"."i_item_id" AS "item_id", + SUM("catalog_returns"."cr_return_quantity") AS "cr_item_qty" + FROM "catalog_returns" AS "catalog_returns" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_returns"."cr_returned_date_sk" = "date_dim"."d_date_sk" + LEFT JOIN "_u_3" AS "_u_3" + ON "date_dim"."d_date" = "_u_3"."d_date" + JOIN "item_2" AS "item" + ON "catalog_returns"."cr_item_sk" = "item"."i_item_sk" + WHERE + NOT "_u_3"."d_date" IS NULL + GROUP BY + "item"."i_item_id" +), "_u_5" AS ( + SELECT + "date_dim"."d_date" AS "d_date" + FROM "date_dim" AS "date_dim" + LEFT JOIN "_u_0" AS "_u_4" + ON "date_dim"."d_week_seq" = "_u_4"."d_week_seq" + WHERE + NOT "_u_4"."d_week_seq" IS NULL + GROUP BY + "date_dim"."d_date" +), "wr_items" AS ( + SELECT + "item"."i_item_id" AS "item_id", + SUM("web_returns"."wr_return_quantity") AS "wr_item_qty" + FROM "web_returns" AS "web_returns" + JOIN "date_dim_2" AS "date_dim" + ON "web_returns"."wr_returned_date_sk" = "date_dim"."d_date_sk" + LEFT JOIN "_u_5" AS "_u_5" + ON "date_dim"."d_date" = "_u_5"."d_date" + JOIN "item_2" AS "item" + ON "web_returns"."wr_item_sk" = "item"."i_item_sk" + WHERE + NOT "_u_5"."d_date" IS NULL + GROUP BY + "item"."i_item_id" +) +SELECT + "sr_items"."item_id" AS "item_id", + "sr_items"."sr_item_qty" AS "sr_item_qty", + "sr_items"."sr_item_qty" / ( + "sr_items"."sr_item_qty" + "cr_items"."cr_item_qty" + "wr_items"."wr_item_qty" + ) / 3.0 * 100 AS "sr_dev", + "cr_items"."cr_item_qty" AS "cr_item_qty", + "cr_items"."cr_item_qty" / ( + "sr_items"."sr_item_qty" + "cr_items"."cr_item_qty" + "wr_items"."wr_item_qty" + ) / 3.0 * 100 AS "cr_dev", + "wr_items"."wr_item_qty" AS "wr_item_qty", + "wr_items"."wr_item_qty" / ( + "sr_items"."sr_item_qty" + "cr_items"."cr_item_qty" + "wr_items"."wr_item_qty" + ) / 3.0 * 100 AS "wr_dev", + ( + "sr_items"."sr_item_qty" + "cr_items"."cr_item_qty" + "wr_items"."wr_item_qty" + ) / 3.0 AS "average" +FROM "sr_items" +JOIN "cr_items" + ON "sr_items"."item_id" = "cr_items"."item_id" +JOIN "wr_items" + ON "sr_items"."item_id" = "wr_items"."item_id" +ORDER BY + "sr_items"."item_id", + "sr_item_qty" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 84 +-------------------------------------- +SELECT c_customer_id AS customer_id, + c_last_name + || ', ' + || c_first_name AS customername +FROM customer, + customer_address, + customer_demographics, + household_demographics, + income_band, + store_returns +WHERE ca_city = 'Green Acres' + AND c_current_addr_sk = ca_address_sk + AND ib_lower_bound >= 54986 + AND ib_upper_bound <= 54986 + 50000 + AND ib_income_band_sk = hd_income_band_sk + AND cd_demo_sk = c_current_cdemo_sk + AND hd_demo_sk = c_current_hdemo_sk + AND sr_cdemo_sk = cd_demo_sk +ORDER BY c_customer_id +LIMIT 100; +SELECT + "customer"."c_customer_id" AS "customer_id", + "customer"."c_last_name" || ', ' || "customer"."c_first_name" AS "customername" +FROM "customer" AS "customer" +JOIN "customer_address" AS "customer_address" + ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk" + AND "customer_address"."ca_city" = 'Green Acres' +JOIN "customer_demographics" AS "customer_demographics" + ON "customer_demographics"."cd_demo_sk" = "customer"."c_current_cdemo_sk" +JOIN "household_demographics" AS "household_demographics" + ON "household_demographics"."hd_demo_sk" = "customer"."c_current_hdemo_sk" +JOIN "income_band" AS "income_band" + ON "income_band"."ib_income_band_sk" = "household_demographics"."hd_income_band_sk" + AND "income_band"."ib_lower_bound" >= 54986 + AND "income_band"."ib_upper_bound" <= 104986 +JOIN "store_returns" AS "store_returns" + ON "store_returns"."sr_cdemo_sk" = "customer_demographics"."cd_demo_sk" +ORDER BY + "customer"."c_customer_id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 85 +-------------------------------------- +SELECT Substr(r_reason_desc, 1, 20), + Avg(ws_quantity), + Avg(wr_refunded_cash), + Avg(wr_fee) +FROM web_sales, + web_returns, + web_page, + customer_demographics cd1, + customer_demographics cd2, + customer_address, + date_dim, + reason +WHERE ws_web_page_sk = wp_web_page_sk + AND ws_item_sk = wr_item_sk + AND ws_order_number = wr_order_number + AND ws_sold_date_sk = d_date_sk + AND d_year = 2001 + AND cd1.cd_demo_sk = wr_refunded_cdemo_sk + AND cd2.cd_demo_sk = wr_returning_cdemo_sk + AND ca_address_sk = wr_refunded_addr_sk + AND r_reason_sk = wr_reason_sk + AND ( ( cd1.cd_marital_status = 'W' + AND cd1.cd_marital_status = cd2.cd_marital_status + AND cd1.cd_education_status = 'Primary' + AND cd1.cd_education_status = cd2.cd_education_status + AND ws_sales_price BETWEEN 100.00 AND 150.00 ) + OR ( cd1.cd_marital_status = 'D' + AND cd1.cd_marital_status = cd2.cd_marital_status + AND cd1.cd_education_status = 'Secondary' + AND cd1.cd_education_status = cd2.cd_education_status + AND ws_sales_price BETWEEN 50.00 AND 100.00 ) + OR ( cd1.cd_marital_status = 'M' + AND cd1.cd_marital_status = cd2.cd_marital_status + AND cd1.cd_education_status = 'Advanced Degree' + AND cd1.cd_education_status = cd2.cd_education_status + AND ws_sales_price BETWEEN 150.00 AND 200.00 ) ) + AND ( ( ca_country = 'United States' + AND ca_state IN ( 'KY', 'ME', 'IL' ) + AND ws_net_profit BETWEEN 100 AND 200 ) + OR ( ca_country = 'United States' + AND ca_state IN ( 'OK', 'NE', 'MN' ) + AND ws_net_profit BETWEEN 150 AND 300 ) + OR ( ca_country = 'United States' + AND ca_state IN ( 'FL', 'WI', 'KS' ) + AND ws_net_profit BETWEEN 50 AND 250 ) ) +GROUP BY r_reason_desc +ORDER BY Substr(r_reason_desc, 1, 20), + Avg(ws_quantity), + Avg(wr_refunded_cash), + Avg(wr_fee) +LIMIT 100; +WITH "cd2" AS ( + SELECT + "customer_demographics"."cd_demo_sk" AS "cd_demo_sk", + "customer_demographics"."cd_marital_status" AS "cd_marital_status", + "customer_demographics"."cd_education_status" AS "cd_education_status" + FROM "customer_demographics" AS "customer_demographics" +) +SELECT + SUBSTR("reason"."r_reason_desc", 1, 20) AS "_col_0", + AVG("web_sales"."ws_quantity") AS "_col_1", + AVG("web_returns"."wr_refunded_cash") AS "_col_2", + AVG("web_returns"."wr_fee") AS "_col_3" +FROM "web_sales" AS "web_sales" +JOIN "web_returns" AS "web_returns" + ON "web_sales"."ws_item_sk" = "web_returns"."wr_item_sk" + AND "web_sales"."ws_order_number" = "web_returns"."wr_order_number" +JOIN "web_page" AS "web_page" + ON "web_sales"."ws_web_page_sk" = "web_page"."wp_web_page_sk" +JOIN "cd2" AS "cd2" + ON "cd2"."cd_demo_sk" = "web_returns"."wr_returning_cdemo_sk" +JOIN "cd2" AS "cd1" + ON "cd1"."cd_demo_sk" = "web_returns"."wr_refunded_cdemo_sk" + AND ( + ( + "cd1"."cd_education_status" = "cd2"."cd_education_status" + AND "cd1"."cd_education_status" = 'Advanced Degree' + AND "cd1"."cd_marital_status" = "cd2"."cd_marital_status" + AND "cd1"."cd_marital_status" = 'M' + AND "web_sales"."ws_sales_price" <= 200.00 + AND "web_sales"."ws_sales_price" >= 150.00 + ) + OR ( + "cd1"."cd_education_status" = "cd2"."cd_education_status" + AND "cd1"."cd_education_status" = 'Primary' + AND "cd1"."cd_marital_status" = "cd2"."cd_marital_status" + AND "cd1"."cd_marital_status" = 'W' + AND "web_sales"."ws_sales_price" <= 150.00 + AND "web_sales"."ws_sales_price" >= 100.00 + ) + OR ( + "cd1"."cd_education_status" = "cd2"."cd_education_status" + AND "cd1"."cd_education_status" = 'Secondary' + AND "cd1"."cd_marital_status" = "cd2"."cd_marital_status" + AND "cd1"."cd_marital_status" = 'D' + AND "web_sales"."ws_sales_price" <= 100.00 + AND "web_sales"."ws_sales_price" >= 50.00 + ) + ) +JOIN "customer_address" AS "customer_address" + ON "customer_address"."ca_address_sk" = "web_returns"."wr_refunded_addr_sk" + AND ( + ( + "customer_address"."ca_country" = 'United States' + AND "customer_address"."ca_state" IN ('FL', 'WI', 'KS') + AND "web_sales"."ws_net_profit" <= 250 + AND "web_sales"."ws_net_profit" >= 50 + ) + OR ( + "customer_address"."ca_country" = 'United States' + AND "customer_address"."ca_state" IN ('KY', 'ME', 'IL') + AND "web_sales"."ws_net_profit" <= 200 + AND "web_sales"."ws_net_profit" >= 100 + ) + OR ( + "customer_address"."ca_country" = 'United States' + AND "customer_address"."ca_state" IN ('OK', 'NE', 'MN') + AND "web_sales"."ws_net_profit" <= 300 + AND "web_sales"."ws_net_profit" >= 150 + ) + ) +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" = 2001 AND "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" +JOIN "reason" AS "reason" + ON "reason"."r_reason_sk" = "web_returns"."wr_reason_sk" +GROUP BY + "reason"."r_reason_desc" +ORDER BY + SUBSTR("reason"."r_reason_desc", 1, 20), + AVG("web_sales"."ws_quantity"), + AVG("web_returns"."wr_refunded_cash"), + AVG("web_returns"."wr_fee") +LIMIT 100; + +-------------------------------------- +-- TPC-DS 86 +-------------------------------------- +SELECT Sum(ws_net_paid) AS total_sum, + i_category, + i_class, + Grouping(i_category) + Grouping(i_class) AS lochierarchy, + Rank() + OVER ( + partition BY Grouping(i_category)+Grouping(i_class), CASE + WHEN Grouping( + i_class) = 0 THEN i_category END + ORDER BY Sum(ws_net_paid) DESC) AS rank_within_parent +FROM web_sales, + date_dim d1, + item +WHERE d1.d_month_seq BETWEEN 1183 AND 1183 + 11 + AND d1.d_date_sk = ws_sold_date_sk + AND i_item_sk = ws_item_sk +GROUP BY rollup( i_category, i_class ) +ORDER BY lochierarchy DESC, + CASE + WHEN lochierarchy = 0 THEN i_category + END, + rank_within_parent +LIMIT 100; +SELECT + SUM("web_sales"."ws_net_paid") AS "total_sum", + "item"."i_category" AS "i_category", + "item"."i_class" AS "i_class", + GROUPING("item"."i_category") + GROUPING("item"."i_class") AS "lochierarchy", + RANK() OVER (PARTITION BY GROUPING("item"."i_category") + GROUPING("item"."i_class"), CASE WHEN GROUPING("item"."i_class") = 0 THEN "item"."i_category" END ORDER BY SUM("web_sales"."ws_net_paid") DESC) AS "rank_within_parent" +FROM "web_sales" AS "web_sales" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk" + AND "date_dim"."d_month_seq" <= 1194 + AND "date_dim"."d_month_seq" >= 1183 +JOIN "item" AS "item" + ON "item"."i_item_sk" = "web_sales"."ws_item_sk" +GROUP BY +ROLLUP ( + "item"."i_category", + "item"."i_class" +) +ORDER BY + "lochierarchy" DESC, + CASE WHEN "lochierarchy" = 0 THEN "item"."i_category" END, + "rank_within_parent" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 87 +-------------------------------------- +select count(*) +from ((select distinct c_last_name, c_first_name, d_date + from store_sales, date_dim, customer + where store_sales.ss_sold_date_sk = date_dim.d_date_sk + and store_sales.ss_customer_sk = customer.c_customer_sk + and d_month_seq between 1188 and 1188+11) + except + (select distinct c_last_name, c_first_name, d_date + from catalog_sales, date_dim, customer + where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk + and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk + and d_month_seq between 1188 and 1188+11) + except + (select distinct c_last_name, c_first_name, d_date + from web_sales, date_dim, customer + where web_sales.ws_sold_date_sk = date_dim.d_date_sk + and web_sales.ws_bill_customer_sk = customer.c_customer_sk + and d_month_seq between 1188 and 1188+11) +) cool_cust +; +WITH "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_date" AS "d_date", + "date_dim"."d_month_seq" AS "d_month_seq" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_month_seq" <= 1199 AND "date_dim"."d_month_seq" >= 1188 +), "customer_2" AS ( + SELECT + "customer"."c_customer_sk" AS "c_customer_sk", + "customer"."c_first_name" AS "c_first_name", + "customer"."c_last_name" AS "c_last_name" + FROM "customer" AS "customer" +), "cte" AS ( + SELECT DISTINCT + "customer"."c_last_name" AS "c_last_name", + "customer"."c_first_name" AS "c_first_name", + "date_dim"."d_date" AS "d_date" + FROM "store_sales" AS "store_sales" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_2" AS "customer" + ON "store_sales"."ss_customer_sk" = "customer"."c_customer_sk" +), "cte_2" AS ( + SELECT DISTINCT + "customer"."c_last_name" AS "c_last_name", + "customer"."c_first_name" AS "c_first_name", + "date_dim"."d_date" AS "d_date" + FROM "catalog_sales" AS "catalog_sales" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_2" AS "customer" + ON "catalog_sales"."cs_bill_customer_sk" = "customer"."c_customer_sk" +), "cte_3" AS ( + SELECT DISTINCT + "customer"."c_last_name" AS "c_last_name", + "customer"."c_first_name" AS "c_first_name", + "date_dim"."d_date" AS "d_date" + FROM "web_sales" AS "web_sales" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_2" AS "customer" + ON "web_sales"."ws_bill_customer_sk" = "customer"."c_customer_sk" +), "cte_4" AS ( + ( + SELECT + "cte_2"."c_last_name" AS "c_last_name", + "cte_2"."c_first_name" AS "c_first_name", + "cte_2"."d_date" AS "d_date" + FROM "cte_2" AS "cte_2" + ) + EXCEPT + ( + SELECT + "cte_3"."c_last_name" AS "c_last_name", + "cte_3"."c_first_name" AS "c_first_name", + "cte_3"."d_date" AS "d_date" + FROM "cte_3" AS "cte_3" + ) +), "cool_cust" AS ( + ( + SELECT + "cte"."c_last_name" AS "c_last_name", + "cte"."c_first_name" AS "c_first_name", + "cte"."d_date" AS "d_date" + FROM "cte" AS "cte" + ) + EXCEPT + SELECT + "cte_4"."c_last_name" AS "c_last_name", + "cte_4"."c_first_name" AS "c_first_name", + "cte_4"."d_date" AS "d_date" + FROM "cte_4" AS "cte_4" +) +SELECT + COUNT(*) AS "_col_0" +FROM "cool_cust" AS "cool_cust"; + +-------------------------------------- +-- TPC-DS 88 +-------------------------------------- +select * +from + (select count(*) h8_30_to_9 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 8 + and time_dim.t_minute >= 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s1, + (select count(*) h9_to_9_30 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 9 + and time_dim.t_minute < 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s2, + (select count(*) h9_30_to_10 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 9 + and time_dim.t_minute >= 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s3, + (select count(*) h10_to_10_30 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 10 + and time_dim.t_minute < 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s4, + (select count(*) h10_30_to_11 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 10 + and time_dim.t_minute >= 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s5, + (select count(*) h11_to_11_30 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 11 + and time_dim.t_minute < 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s6, + (select count(*) h11_30_to_12 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 11 + and time_dim.t_minute >= 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s7, + (select count(*) h12_to_12_30 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 12 + and time_dim.t_minute < 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s8 +; +WITH "store_sales_2" AS ( + SELECT + "store_sales"."ss_sold_time_sk" AS "ss_sold_time_sk", + "store_sales"."ss_hdemo_sk" AS "ss_hdemo_sk", + "store_sales"."ss_store_sk" AS "ss_store_sk" + FROM "store_sales" AS "store_sales" +), "household_demographics_2" AS ( + SELECT + "household_demographics"."hd_demo_sk" AS "hd_demo_sk", + "household_demographics"."hd_dep_count" AS "hd_dep_count", + "household_demographics"."hd_vehicle_count" AS "hd_vehicle_count" + FROM "household_demographics" AS "household_demographics" + WHERE + ( + "household_demographics"."hd_dep_count" = -1 + OR "household_demographics"."hd_dep_count" = 2 + OR "household_demographics"."hd_dep_count" = 3 + ) + AND ( + "household_demographics"."hd_dep_count" = 2 + OR "household_demographics"."hd_dep_count" = 3 + OR "household_demographics"."hd_vehicle_count" <= 1 + ) + AND ( + "household_demographics"."hd_dep_count" = 3 + OR "household_demographics"."hd_vehicle_count" <= 4 + ) + AND "household_demographics"."hd_vehicle_count" <= 5 +), "store_2" AS ( + SELECT + "store"."s_store_sk" AS "s_store_sk", + "store"."s_store_name" AS "s_store_name" + FROM "store" AS "store" + WHERE + "store"."s_store_name" = 'ese' +), "s1" AS ( + SELECT + COUNT(*) AS "h8_30_to_9" + FROM "store_sales_2" AS "store_sales" + JOIN "household_demographics_2" AS "household_demographics" + ON "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + JOIN "time_dim" AS "time_dim" + ON "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk" + AND "time_dim"."t_hour" = 8 + AND "time_dim"."t_minute" >= 30 + JOIN "store_2" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_store_sk" +), "s2" AS ( + SELECT + COUNT(*) AS "h9_to_9_30" + FROM "store_sales_2" AS "store_sales", "household_demographics_2" AS "household_demographics", "time_dim" AS "time_dim", "store_2" AS "store" + WHERE + "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk" + AND "store_sales"."ss_store_sk" = "store"."s_store_sk" + AND "time_dim"."t_hour" = 9 + AND "time_dim"."t_minute" < 30 +), "s3" AS ( + SELECT + COUNT(*) AS "h9_30_to_10" + FROM "store_sales_2" AS "store_sales", "household_demographics_2" AS "household_demographics", "time_dim" AS "time_dim", "store_2" AS "store" + WHERE + "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk" + AND "store_sales"."ss_store_sk" = "store"."s_store_sk" + AND "time_dim"."t_hour" = 9 + AND "time_dim"."t_minute" >= 30 +), "s4" AS ( + SELECT + COUNT(*) AS "h10_to_10_30" + FROM "store_sales_2" AS "store_sales", "household_demographics_2" AS "household_demographics", "time_dim" AS "time_dim", "store_2" AS "store" + WHERE + "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk" + AND "store_sales"."ss_store_sk" = "store"."s_store_sk" + AND "time_dim"."t_hour" = 10 + AND "time_dim"."t_minute" < 30 +), "s5" AS ( + SELECT + COUNT(*) AS "h10_30_to_11" + FROM "store_sales_2" AS "store_sales", "household_demographics_2" AS "household_demographics", "time_dim" AS "time_dim", "store_2" AS "store" + WHERE + "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk" + AND "store_sales"."ss_store_sk" = "store"."s_store_sk" + AND "time_dim"."t_hour" = 10 + AND "time_dim"."t_minute" >= 30 +), "s6" AS ( + SELECT + COUNT(*) AS "h11_to_11_30" + FROM "store_sales_2" AS "store_sales", "household_demographics_2" AS "household_demographics", "time_dim" AS "time_dim", "store_2" AS "store" + WHERE + "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk" + AND "store_sales"."ss_store_sk" = "store"."s_store_sk" + AND "time_dim"."t_hour" = 11 + AND "time_dim"."t_minute" < 30 +), "s7" AS ( + SELECT + COUNT(*) AS "h11_30_to_12" + FROM "store_sales_2" AS "store_sales", "household_demographics_2" AS "household_demographics", "time_dim" AS "time_dim", "store_2" AS "store" + WHERE + "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk" + AND "store_sales"."ss_store_sk" = "store"."s_store_sk" + AND "time_dim"."t_hour" = 11 + AND "time_dim"."t_minute" >= 30 +), "s8" AS ( + SELECT + COUNT(*) AS "h12_to_12_30" + FROM "store_sales_2" AS "store_sales", "household_demographics_2" AS "household_demographics", "time_dim" AS "time_dim", "store_2" AS "store" + WHERE + "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk" + AND "store_sales"."ss_store_sk" = "store"."s_store_sk" + AND "time_dim"."t_hour" = 12 + AND "time_dim"."t_minute" < 30 +) +SELECT + "s1"."h8_30_to_9" AS "h8_30_to_9", + "s2"."h9_to_9_30" AS "h9_to_9_30", + "s3"."h9_30_to_10" AS "h9_30_to_10", + "s4"."h10_to_10_30" AS "h10_to_10_30", + "s5"."h10_30_to_11" AS "h10_30_to_11", + "s6"."h11_to_11_30" AS "h11_to_11_30", + "s7"."h11_30_to_12" AS "h11_30_to_12", + "s8"."h12_to_12_30" AS "h12_to_12_30" +FROM "s1" AS "s1" +CROSS JOIN "s2" AS "s2" +CROSS JOIN "s3" AS "s3" +CROSS JOIN "s4" AS "s4" +CROSS JOIN "s5" AS "s5" +CROSS JOIN "s6" AS "s6" +CROSS JOIN "s7" AS "s7" +CROSS JOIN "s8" AS "s8"; + +-------------------------------------- +-- TPC-DS 89 +-------------------------------------- +SELECT * +FROM (SELECT i_category, + i_class, + i_brand, + s_store_name, + s_company_name, + d_moy, + Sum(ss_sales_price) sum_sales, + Avg(Sum(ss_sales_price)) + OVER ( + partition BY i_category, i_brand, s_store_name, s_company_name + ) + avg_monthly_sales + FROM item, + store_sales, + date_dim, + store + WHERE ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND d_year IN ( 2002 ) + AND ( ( i_category IN ( 'Home', 'Men', 'Sports' ) + AND i_class IN ( 'paint', 'accessories', 'fitness' ) ) + OR ( i_category IN ( 'Shoes', 'Jewelry', 'Women' ) + AND i_class IN ( 'mens', 'pendants', 'swimwear' ) ) ) + GROUP BY i_category, + i_class, + i_brand, + s_store_name, + s_company_name, + d_moy) tmp1 +WHERE CASE + WHEN ( avg_monthly_sales <> 0 ) THEN ( + Abs(sum_sales - avg_monthly_sales) / avg_monthly_sales ) + ELSE NULL + END > 0.1 +ORDER BY sum_sales - avg_monthly_sales, + s_store_name +LIMIT 100; +WITH "tmp1" AS ( + SELECT + "item"."i_category" AS "i_category", + "item"."i_class" AS "i_class", + "item"."i_brand" AS "i_brand", + "store"."s_store_name" AS "s_store_name", + "store"."s_company_name" AS "s_company_name", + "date_dim"."d_moy" AS "d_moy", + SUM("store_sales"."ss_sales_price") AS "sum_sales", + AVG(SUM("store_sales"."ss_sales_price")) OVER (PARTITION BY "item"."i_category", "item"."i_brand", "store"."s_store_name", "store"."s_company_name") AS "avg_monthly_sales" + FROM "item" AS "item" + JOIN "store_sales" AS "store_sales" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" IN (2002) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_store_sk" + WHERE + ( + "item"."i_category" IN ('Home', 'Men', 'Sports') + OR "item"."i_category" IN ('Shoes', 'Jewelry', 'Women') + ) + AND ( + "item"."i_category" IN ('Home', 'Men', 'Sports') + OR "item"."i_class" IN ('mens', 'pendants', 'swimwear') + ) + AND ( + "item"."i_category" IN ('Shoes', 'Jewelry', 'Women') + OR "item"."i_class" IN ('paint', 'accessories', 'fitness') + ) + AND ( + "item"."i_class" IN ('mens', 'pendants', 'swimwear') + OR "item"."i_class" IN ('paint', 'accessories', 'fitness') + ) + GROUP BY + "item"."i_category", + "item"."i_class", + "item"."i_brand", + "store"."s_store_name", + "store"."s_company_name", + "date_dim"."d_moy" +) +SELECT + "tmp1"."i_category" AS "i_category", + "tmp1"."i_class" AS "i_class", + "tmp1"."i_brand" AS "i_brand", + "tmp1"."s_store_name" AS "s_store_name", + "tmp1"."s_company_name" AS "s_company_name", + "tmp1"."d_moy" AS "d_moy", + "tmp1"."sum_sales" AS "sum_sales", + "tmp1"."avg_monthly_sales" AS "avg_monthly_sales" +FROM "tmp1" AS "tmp1" +WHERE + CASE + WHEN "tmp1"."avg_monthly_sales" <> 0 + THEN ( + ABS("tmp1"."sum_sales" - "tmp1"."avg_monthly_sales") / "tmp1"."avg_monthly_sales" + ) + ELSE NULL + END > 0.1 +ORDER BY + "tmp1"."sum_sales" - "tmp1"."avg_monthly_sales", + "tmp1"."s_store_name" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 90 +-------------------------------------- + +SELECT Cast(amc AS DECIMAL(15, 4)) / Cast(pmc AS DECIMAL(15, 4)) + am_pm_ratio +FROM (SELECT Count(*) amc + FROM web_sales, + household_demographics, + time_dim, + web_page + WHERE ws_sold_time_sk = time_dim.t_time_sk + AND ws_ship_hdemo_sk = household_demographics.hd_demo_sk + AND ws_web_page_sk = web_page.wp_web_page_sk + AND time_dim.t_hour BETWEEN 12 AND 12 + 1 + AND household_demographics.hd_dep_count = 8 + AND web_page.wp_char_count BETWEEN 5000 AND 5200) at1, + (SELECT Count(*) pmc + FROM web_sales, + household_demographics, + time_dim, + web_page + WHERE ws_sold_time_sk = time_dim.t_time_sk + AND ws_ship_hdemo_sk = household_demographics.hd_demo_sk + AND ws_web_page_sk = web_page.wp_web_page_sk + AND time_dim.t_hour BETWEEN 20 AND 20 + 1 + AND household_demographics.hd_dep_count = 8 + AND web_page.wp_char_count BETWEEN 5000 AND 5200) pt +ORDER BY am_pm_ratio +LIMIT 100; +WITH "web_sales_2" AS ( + SELECT + "web_sales"."ws_sold_time_sk" AS "ws_sold_time_sk", + "web_sales"."ws_ship_hdemo_sk" AS "ws_ship_hdemo_sk", + "web_sales"."ws_web_page_sk" AS "ws_web_page_sk" + FROM "web_sales" AS "web_sales" +), "household_demographics_2" AS ( + SELECT + "household_demographics"."hd_demo_sk" AS "hd_demo_sk", + "household_demographics"."hd_dep_count" AS "hd_dep_count" + FROM "household_demographics" AS "household_demographics" + WHERE + "household_demographics"."hd_dep_count" = 8 +), "web_page_2" AS ( + SELECT + "web_page"."wp_web_page_sk" AS "wp_web_page_sk", + "web_page"."wp_char_count" AS "wp_char_count" + FROM "web_page" AS "web_page" + WHERE + "web_page"."wp_char_count" <= 5200 AND "web_page"."wp_char_count" >= 5000 +), "at1" AS ( + SELECT + COUNT(*) AS "amc" + FROM "web_sales_2" AS "web_sales" + JOIN "household_demographics_2" AS "household_demographics" + ON "web_sales"."ws_ship_hdemo_sk" = "household_demographics"."hd_demo_sk" + JOIN "time_dim" AS "time_dim" + ON "time_dim"."t_hour" <= 13 + AND "time_dim"."t_hour" >= 12 + AND "web_sales"."ws_sold_time_sk" = "time_dim"."t_time_sk" + JOIN "web_page_2" AS "web_page" + ON "web_sales"."ws_web_page_sk" = "web_page"."wp_web_page_sk" +), "pt" AS ( + SELECT + COUNT(*) AS "pmc" + FROM "web_sales_2" AS "web_sales", "household_demographics_2" AS "household_demographics", "time_dim" AS "time_dim", "web_page_2" AS "web_page" + WHERE + "time_dim"."t_hour" <= 21 + AND "time_dim"."t_hour" >= 20 + AND "web_sales"."ws_ship_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "web_sales"."ws_sold_time_sk" = "time_dim"."t_time_sk" + AND "web_sales"."ws_web_page_sk" = "web_page"."wp_web_page_sk" +) +SELECT + CAST("at1"."amc" AS DECIMAL(15, 4)) / CAST("pt"."pmc" AS DECIMAL(15, 4)) AS "am_pm_ratio" +FROM "at1" AS "at1" +CROSS JOIN "pt" AS "pt" +ORDER BY + "am_pm_ratio" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 91 +-------------------------------------- +SELECT cc_call_center_id Call_Center, + cc_name Call_Center_Name, + cc_manager Manager, + Sum(cr_net_loss) Returns_Loss +FROM call_center, + catalog_returns, + date_dim, + customer, + customer_address, + customer_demographics, + household_demographics +WHERE cr_call_center_sk = cc_call_center_sk + AND cr_returned_date_sk = d_date_sk + AND cr_returning_customer_sk = c_customer_sk + AND cd_demo_sk = c_current_cdemo_sk + AND hd_demo_sk = c_current_hdemo_sk + AND ca_address_sk = c_current_addr_sk + AND d_year = 1999 + AND d_moy = 12 + AND ( ( cd_marital_status = 'M' + AND cd_education_status = 'Unknown' ) + OR ( cd_marital_status = 'W' + AND cd_education_status = 'Advanced Degree' ) ) + AND hd_buy_potential LIKE 'Unknown%' + AND ca_gmt_offset = -7 +GROUP BY cc_call_center_id, + cc_name, + cc_manager, + cd_marital_status, + cd_education_status +ORDER BY Sum(cr_net_loss) DESC; +SELECT + "call_center"."cc_call_center_id" AS Call_Center, + "call_center"."cc_name" AS Call_Center_Name, + "call_center"."cc_manager" AS Manager, + SUM("catalog_returns"."cr_net_loss") AS Returns_Loss +FROM "call_center" AS "call_center" +JOIN "catalog_returns" AS "catalog_returns" + ON "catalog_returns"."cr_call_center_sk" = "call_center"."cc_call_center_sk" +JOIN "date_dim" AS "date_dim" + ON "catalog_returns"."cr_returned_date_sk" = "date_dim"."d_date_sk" + AND "date_dim"."d_moy" = 12 + AND "date_dim"."d_year" = 1999 +JOIN "household_demographics" AS "household_demographics" + ON "household_demographics"."hd_buy_potential" LIKE 'Unknown%' +JOIN "customer_demographics" AS "customer_demographics" + ON ( + "customer_demographics"."cd_education_status" = 'Advanced Degree' + OR "customer_demographics"."cd_education_status" = 'Unknown' + ) + AND ( + "customer_demographics"."cd_education_status" = 'Advanced Degree' + OR "customer_demographics"."cd_marital_status" = 'M' + ) + AND ( + "customer_demographics"."cd_education_status" = 'Unknown' + OR "customer_demographics"."cd_marital_status" = 'W' + ) + AND ( + "customer_demographics"."cd_marital_status" = 'M' + OR "customer_demographics"."cd_marital_status" = 'W' + ) +JOIN "customer_address" AS "customer_address" + ON "customer_address"."ca_gmt_offset" = -7 +JOIN "customer" AS "customer" + ON "catalog_returns"."cr_returning_customer_sk" = "customer"."c_customer_sk" + AND "customer_address"."ca_address_sk" = "customer"."c_current_addr_sk" + AND "customer_demographics"."cd_demo_sk" = "customer"."c_current_cdemo_sk" + AND "household_demographics"."hd_demo_sk" = "customer"."c_current_hdemo_sk" +GROUP BY + "call_center"."cc_call_center_id", + "call_center"."cc_name", + "call_center"."cc_manager", + "customer_demographics"."cd_marital_status", + "customer_demographics"."cd_education_status" +ORDER BY + SUM("catalog_returns"."cr_net_loss") DESC; + +-------------------------------------- +-- TPC-DS 92 +-------------------------------------- +SELECT + Sum(ws_ext_discount_amt) AS "Excess Discount Amount" +FROM web_sales , + item , + date_dim +WHERE i_manufact_id = 718 +AND i_item_sk = ws_item_sk +AND d_date BETWEEN '2002-03-29' AND ( + Cast('2002-03-29' AS DATE) + INTERVAL '90' day) +AND d_date_sk = ws_sold_date_sk +AND ws_ext_discount_amt > + ( + SELECT 1.3 * avg(ws_ext_discount_amt) + FROM web_sales , + date_dim + WHERE ws_item_sk = i_item_sk + AND d_date BETWEEN '2002-03-29' AND ( + cast('2002-03-29' AS date) + INTERVAL '90' day) + AND d_date_sk = ws_sold_date_sk ) +ORDER BY sum(ws_ext_discount_amt) +LIMIT 100; +WITH "web_sales_2" AS ( + SELECT + "web_sales"."ws_sold_date_sk" AS "ws_sold_date_sk", + "web_sales"."ws_item_sk" AS "ws_item_sk", + "web_sales"."ws_ext_discount_amt" AS "ws_ext_discount_amt" + FROM "web_sales" AS "web_sales" +), "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_date" AS "d_date" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_date" >= '2002-03-29' + AND CAST("date_dim"."d_date" AS DATE) <= CAST('2002-06-27' AS DATE) +), "_u_0" AS ( + SELECT + 1.3 * AVG("web_sales"."ws_ext_discount_amt") AS "_col_0", + "web_sales"."ws_item_sk" AS "_u_1" + FROM "web_sales_2" AS "web_sales" + JOIN "date_dim_2" AS "date_dim" + ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk" + GROUP BY + "web_sales"."ws_item_sk" +) +SELECT + SUM("web_sales"."ws_ext_discount_amt") AS "Excess Discount Amount" +FROM "web_sales_2" AS "web_sales" +JOIN "item" AS "item" + ON "item"."i_item_sk" = "web_sales"."ws_item_sk" AND "item"."i_manufact_id" = 718 +LEFT JOIN "_u_0" AS "_u_0" + ON "_u_0"."_u_1" = "item"."i_item_sk" +JOIN "date_dim_2" AS "date_dim" + ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk" +WHERE + "web_sales"."ws_ext_discount_amt" > "_u_0"."_col_0" +ORDER BY + SUM("web_sales"."ws_ext_discount_amt") +LIMIT 100; + +-------------------------------------- +-- TPC-DS 93 +-------------------------------------- +SELECT ss_customer_sk, + Sum(act_sales) sumsales +FROM (SELECT ss_item_sk, + ss_ticket_number, + ss_customer_sk, + CASE + WHEN sr_return_quantity IS NOT NULL THEN + ( ss_quantity - sr_return_quantity ) * ss_sales_price + ELSE ( ss_quantity * ss_sales_price ) + END act_sales + FROM store_sales + LEFT OUTER JOIN store_returns + ON ( sr_item_sk = ss_item_sk + AND sr_ticket_number = ss_ticket_number ), + reason + WHERE sr_reason_sk = r_reason_sk + AND r_reason_desc = 'reason 38') t +GROUP BY ss_customer_sk +ORDER BY sumsales, + ss_customer_sk +LIMIT 100; +SELECT + "store_sales"."ss_customer_sk" AS "ss_customer_sk", + SUM( + CASE + WHEN NOT "store_returns"."sr_return_quantity" IS NULL + THEN ( + "store_sales"."ss_quantity" - "store_returns"."sr_return_quantity" + ) * "store_sales"."ss_sales_price" + ELSE ( + "store_sales"."ss_quantity" * "store_sales"."ss_sales_price" + ) + END + ) AS "sumsales" +FROM "store_sales" AS "store_sales" +LEFT JOIN "store_returns" AS "store_returns" + ON "store_returns"."sr_item_sk" = "store_sales"."ss_item_sk" + AND "store_returns"."sr_ticket_number" = "store_sales"."ss_ticket_number" +JOIN "reason" AS "reason" + ON "reason"."r_reason_desc" = 'reason 38' +WHERE + "store_returns"."sr_reason_sk" = "reason"."r_reason_sk" +GROUP BY + "store_sales"."ss_customer_sk" +ORDER BY + "sumsales", + "ss_customer_sk" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 94 +-------------------------------------- +SELECT + Count(DISTINCT ws_order_number) AS "order count" , + Sum(ws_ext_ship_cost) AS "total shipping cost" , + Sum(ws_net_profit) AS "total net profit" +FROM web_sales ws1 , + date_dim , + customer_address , + web_site +WHERE d_date BETWEEN '2000-3-01' AND ( + Cast('2000-3-01' AS DATE) + INTERVAL '60' day) +AND ws1.ws_ship_date_sk = d_date_sk +AND ws1.ws_ship_addr_sk = ca_address_sk +AND ca_state = 'MT' +AND ws1.ws_web_site_sk = web_site_sk +AND web_company_name = 'pri' +AND EXISTS + ( + SELECT * + FROM web_sales ws2 + WHERE ws1.ws_order_number = ws2.ws_order_number + AND ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk) +AND NOT EXISTS + ( + SELECT * + FROM web_returns wr1 + WHERE ws1.ws_order_number = wr1.wr_order_number) +ORDER BY count(DISTINCT ws_order_number) +LIMIT 100; +WITH "_u_0" AS ( + SELECT + "ws2"."ws_order_number" AS "_u_1", + ARRAY_AGG("ws2"."ws_warehouse_sk") AS "_u_2" + FROM "web_sales" AS "ws2" + GROUP BY + "ws2"."ws_order_number" +), "_u_3" AS ( + SELECT + "wr1"."wr_order_number" AS "_u_4" + FROM "web_returns" AS "wr1" + GROUP BY + "wr1"."wr_order_number" +) +SELECT + COUNT(DISTINCT "web_sales"."ws_order_number") AS "order count", + SUM("web_sales"."ws_ext_ship_cost") AS "total shipping cost", + SUM("web_sales"."ws_net_profit") AS "total net profit" +FROM "web_sales" AS "web_sales" +LEFT JOIN "_u_0" AS "_u_0" + ON "web_sales"."ws_order_number" = "_u_0"."_u_1" +LEFT JOIN "_u_3" AS "_u_3" + ON "web_sales"."ws_order_number" = "_u_3"."_u_4" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_date" >= '2000-3-01' + AND "web_sales"."ws_ship_date_sk" = "date_dim"."d_date_sk" + AND CAST("date_dim"."d_date" AS DATE) <= ( + CAST('2000-3-01' AS DATE) + INTERVAL '60' "day" + ) +JOIN "customer_address" AS "customer_address" + ON "customer_address"."ca_state" = 'MT' + AND "web_sales"."ws_ship_addr_sk" = "customer_address"."ca_address_sk" +JOIN "web_site" AS "web_site" + ON "web_sales"."ws_web_site_sk" = "web_site"."web_site_sk" + AND "web_site"."web_company_name" = 'pri' +WHERE + "_u_3"."_u_4" IS NULL + AND ARRAY_ANY("_u_0"."_u_2", "_x" -> "web_sales"."ws_warehouse_sk" <> "_x") + AND NOT "_u_0"."_u_1" IS NULL +ORDER BY + COUNT(DISTINCT "web_sales"."ws_order_number") +LIMIT 100; + +-------------------------------------- +-- TPC-DS 95 +-------------------------------------- +WITH ws_wh AS +( + SELECT ws1.ws_order_number, + ws1.ws_warehouse_sk wh1, + ws2.ws_warehouse_sk wh2 + FROM web_sales ws1, + web_sales ws2 + WHERE ws1.ws_order_number = ws2.ws_order_number + AND ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk) +SELECT + Count(DISTINCT ws_order_number) AS "order count" , + Sum(ws_ext_ship_cost) AS "total shipping cost" , + Sum(ws_net_profit) AS "total net profit" +FROM web_sales ws1 , + date_dim , + customer_address , + web_site +WHERE d_date BETWEEN '2000-4-01' AND ( + Cast('2000-4-01' AS DATE) + INTERVAL '60' day) +AND ws1.ws_ship_date_sk = d_date_sk +AND ws1.ws_ship_addr_sk = ca_address_sk +AND ca_state = 'IN' +AND ws1.ws_web_site_sk = web_site_sk +AND web_company_name = 'pri' +AND ws1.ws_order_number IN + ( + SELECT ws_order_number + FROM ws_wh) +AND ws1.ws_order_number IN + ( + SELECT wr_order_number + FROM web_returns, + ws_wh + WHERE wr_order_number = ws_wh.ws_order_number) +ORDER BY count(DISTINCT ws_order_number) +LIMIT 100; +WITH "ws1" AS ( + SELECT + "web_sales"."ws_warehouse_sk" AS "ws_warehouse_sk", + "web_sales"."ws_order_number" AS "ws_order_number" + FROM "web_sales" AS "web_sales" +), "ws_wh" AS ( + SELECT + "ws1"."ws_order_number" AS "ws_order_number" + FROM "ws1" AS "ws1" + JOIN "ws1" AS "ws2" + ON "ws1"."ws_order_number" = "ws2"."ws_order_number" + AND "ws1"."ws_warehouse_sk" <> "ws2"."ws_warehouse_sk" +), "_u_0" AS ( + SELECT + "ws_wh"."ws_order_number" AS "ws_order_number" + FROM "ws_wh" + GROUP BY + "ws_wh"."ws_order_number" +), "_u_1" AS ( + SELECT + "web_returns"."wr_order_number" AS "wr_order_number" + FROM "web_returns" AS "web_returns" + JOIN "ws_wh" + ON "web_returns"."wr_order_number" = "ws_wh"."ws_order_number" + GROUP BY + "web_returns"."wr_order_number" +) +SELECT + COUNT(DISTINCT "web_sales"."ws_order_number") AS "order count", + SUM("web_sales"."ws_ext_ship_cost") AS "total shipping cost", + SUM("web_sales"."ws_net_profit") AS "total net profit" +FROM "web_sales" AS "web_sales" +LEFT JOIN "_u_0" AS "_u_0" + ON "web_sales"."ws_order_number" = "_u_0"."ws_order_number" +LEFT JOIN "_u_1" AS "_u_1" + ON "web_sales"."ws_order_number" = "_u_1"."wr_order_number" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_date" >= '2000-4-01' + AND "web_sales"."ws_ship_date_sk" = "date_dim"."d_date_sk" + AND CAST("date_dim"."d_date" AS DATE) <= ( + CAST('2000-4-01' AS DATE) + INTERVAL '60' "day" + ) +JOIN "customer_address" AS "customer_address" + ON "customer_address"."ca_state" = 'IN' + AND "web_sales"."ws_ship_addr_sk" = "customer_address"."ca_address_sk" +JOIN "web_site" AS "web_site" + ON "web_sales"."ws_web_site_sk" = "web_site"."web_site_sk" + AND "web_site"."web_company_name" = 'pri' +WHERE + NOT "_u_0"."ws_order_number" IS NULL AND NOT "_u_1"."wr_order_number" IS NULL +ORDER BY + COUNT(DISTINCT "web_sales"."ws_order_number") +LIMIT 100; + +-------------------------------------- +-- TPC-DS 96 +-------------------------------------- +SELECT Count(*) +FROM store_sales, + household_demographics, + time_dim, + store +WHERE ss_sold_time_sk = time_dim.t_time_sk + AND ss_hdemo_sk = household_demographics.hd_demo_sk + AND ss_store_sk = s_store_sk + AND time_dim.t_hour = 15 + AND time_dim.t_minute >= 30 + AND household_demographics.hd_dep_count = 7 + AND store.s_store_name = 'ese' +ORDER BY Count(*) +LIMIT 100; +SELECT + COUNT(*) AS "_col_0" +FROM "store_sales" AS "store_sales" +JOIN "household_demographics" AS "household_demographics" + ON "household_demographics"."hd_dep_count" = 7 + AND "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" +JOIN "time_dim" AS "time_dim" + ON "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk" + AND "time_dim"."t_hour" = 15 + AND "time_dim"."t_minute" >= 30 +JOIN "store" AS "store" + ON "store"."s_store_name" = 'ese' AND "store_sales"."ss_store_sk" = "store"."s_store_sk" +ORDER BY + COUNT(*) +LIMIT 100; + +-------------------------------------- +-- TPC-DS 97 +-------------------------------------- + +WITH ssci + AS (SELECT ss_customer_sk customer_sk, + ss_item_sk item_sk + FROM store_sales, + date_dim + WHERE ss_sold_date_sk = d_date_sk + AND d_month_seq BETWEEN 1196 AND 1196 + 11 + GROUP BY ss_customer_sk, + ss_item_sk), + csci + AS (SELECT cs_bill_customer_sk customer_sk, + cs_item_sk item_sk + FROM catalog_sales, + date_dim + WHERE cs_sold_date_sk = d_date_sk + AND d_month_seq BETWEEN 1196 AND 1196 + 11 + GROUP BY cs_bill_customer_sk, + cs_item_sk) +SELECT Sum(CASE + WHEN ssci.customer_sk IS NOT NULL + AND csci.customer_sk IS NULL THEN 1 + ELSE 0 + END) store_only, + Sum(CASE + WHEN ssci.customer_sk IS NULL + AND csci.customer_sk IS NOT NULL THEN 1 + ELSE 0 + END) catalog_only, + Sum(CASE + WHEN ssci.customer_sk IS NOT NULL + AND csci.customer_sk IS NOT NULL THEN 1 + ELSE 0 + END) store_and_catalog +FROM ssci + FULL OUTER JOIN csci + ON ( ssci.customer_sk = csci.customer_sk + AND ssci.item_sk = csci.item_sk ) +LIMIT 100; +WITH "date_dim_2" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_month_seq" AS "d_month_seq" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_month_seq" <= 1207 AND "date_dim"."d_month_seq" >= 1196 +), "ssci" AS ( + SELECT + "store_sales"."ss_customer_sk" AS "customer_sk", + "store_sales"."ss_item_sk" AS "item_sk" + FROM "store_sales" AS "store_sales" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "store_sales"."ss_customer_sk", + "store_sales"."ss_item_sk" +), "csci" AS ( + SELECT + "catalog_sales"."cs_bill_customer_sk" AS "customer_sk", + "catalog_sales"."cs_item_sk" AS "item_sk" + FROM "catalog_sales" AS "catalog_sales" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "catalog_sales"."cs_bill_customer_sk", + "catalog_sales"."cs_item_sk" +) +SELECT + SUM( + CASE + WHEN "csci"."customer_sk" IS NULL AND NOT "ssci"."customer_sk" IS NULL + THEN 1 + ELSE 0 + END + ) AS "store_only", + SUM( + CASE + WHEN "ssci"."customer_sk" IS NULL AND NOT "csci"."customer_sk" IS NULL + THEN 1 + ELSE 0 + END + ) AS "catalog_only", + SUM( + CASE + WHEN NOT "csci"."customer_sk" IS NULL AND NOT "ssci"."customer_sk" IS NULL + THEN 1 + ELSE 0 + END + ) AS "store_and_catalog" +FROM "ssci" +FULL JOIN "csci" + ON "ssci"."customer_sk" = "csci"."customer_sk" AND "ssci"."item_sk" = "csci"."item_sk" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 98 +-------------------------------------- + +SELECT i_item_id, + i_item_desc, + i_category, + i_class, + i_current_price, + Sum(ss_ext_sales_price) AS itemrevenue, + Sum(ss_ext_sales_price) * 100 / Sum(Sum(ss_ext_sales_price)) + OVER ( + PARTITION BY i_class) AS revenueratio +FROM store_sales, + item, + date_dim +WHERE ss_item_sk = i_item_sk + AND i_category IN ( 'Men', 'Home', 'Electronics' ) + AND ss_sold_date_sk = d_date_sk + AND d_date BETWEEN CAST('2000-05-18' AS DATE) AND ( + CAST('2000-05-18' AS DATE) + INTERVAL '30' DAY ) +GROUP BY i_item_id, + i_item_desc, + i_category, + i_class, + i_current_price +ORDER BY i_category, + i_class, + i_item_id, + i_item_desc, + revenueratio; +SELECT + "item"."i_item_id" AS "i_item_id", + "item"."i_item_desc" AS "i_item_desc", + "item"."i_category" AS "i_category", + "item"."i_class" AS "i_class", + "item"."i_current_price" AS "i_current_price", + SUM("store_sales"."ss_ext_sales_price") AS "itemrevenue", + SUM("store_sales"."ss_ext_sales_price") * 100 / SUM(SUM("store_sales"."ss_ext_sales_price")) OVER (PARTITION BY "item"."i_class") AS "revenueratio" +FROM "store_sales" AS "store_sales" +JOIN "item" AS "item" + ON "item"."i_category" IN ('Men', 'Home', 'Electronics') + AND "store_sales"."ss_item_sk" = "item"."i_item_sk" +JOIN "date_dim" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + AND CAST("date_dim"."d_date" AS DATE) <= CAST('2000-06-17' AS DATE) + AND CAST("date_dim"."d_date" AS DATE) >= CAST('2000-05-18' AS DATE) +GROUP BY + "item"."i_item_id", + "item"."i_item_desc", + "item"."i_category", + "item"."i_class", + "item"."i_current_price" +ORDER BY + "i_category", + "i_class", + "i_item_id", + "i_item_desc", + "revenueratio"; + +-------------------------------------- +-- TPC-DS 99 +-------------------------------------- + + +SELECT Substr(w_warehouse_name, 1, 20), + sm_type, + cc_name, + Sum(CASE + WHEN ( cs_ship_date_sk - cs_sold_date_sk <= 30 ) THEN 1 + ELSE 0 + END) AS "30 days", + Sum(CASE + WHEN ( cs_ship_date_sk - cs_sold_date_sk > 30 ) + AND ( cs_ship_date_sk - cs_sold_date_sk <= 60 ) THEN 1 + ELSE 0 + END) AS "31-60 days", + Sum(CASE + WHEN ( cs_ship_date_sk - cs_sold_date_sk > 60 ) + AND ( cs_ship_date_sk - cs_sold_date_sk <= 90 ) THEN 1 + ELSE 0 + END) AS "61-90 days", + Sum(CASE + WHEN ( cs_ship_date_sk - cs_sold_date_sk > 90 ) + AND ( cs_ship_date_sk - cs_sold_date_sk <= 120 ) THEN + 1 + ELSE 0 + END) AS "91-120 days", + Sum(CASE + WHEN ( cs_ship_date_sk - cs_sold_date_sk > 120 ) THEN 1 + ELSE 0 + END) AS ">120 days" +FROM catalog_sales, + warehouse, + ship_mode, + call_center, + date_dim +WHERE d_month_seq BETWEEN 1200 AND 1200 + 11 + AND cs_ship_date_sk = d_date_sk + AND cs_warehouse_sk = w_warehouse_sk + AND cs_ship_mode_sk = sm_ship_mode_sk + AND cs_call_center_sk = cc_call_center_sk +GROUP BY Substr(w_warehouse_name, 1, 20), + sm_type, + cc_name +ORDER BY Substr(w_warehouse_name, 1, 20), + sm_type, + cc_name +LIMIT 100; +SELECT + SUBSTR("warehouse"."w_warehouse_name", 1, 20) AS "_col_0", + "ship_mode"."sm_type" AS "sm_type", + "call_center"."cc_name" AS "cc_name", + SUM( + CASE + WHEN "catalog_sales"."cs_ship_date_sk" - "catalog_sales"."cs_sold_date_sk" <= 30 + THEN 1 + ELSE 0 + END + ) AS "30 days", + SUM( + CASE + WHEN "catalog_sales"."cs_ship_date_sk" - "catalog_sales"."cs_sold_date_sk" <= 60 + AND "catalog_sales"."cs_ship_date_sk" - "catalog_sales"."cs_sold_date_sk" > 30 + THEN 1 + ELSE 0 + END + ) AS "31-60 days", + SUM( + CASE + WHEN "catalog_sales"."cs_ship_date_sk" - "catalog_sales"."cs_sold_date_sk" <= 90 + AND "catalog_sales"."cs_ship_date_sk" - "catalog_sales"."cs_sold_date_sk" > 60 + THEN 1 + ELSE 0 + END + ) AS "61-90 days", + SUM( + CASE + WHEN "catalog_sales"."cs_ship_date_sk" - "catalog_sales"."cs_sold_date_sk" <= 120 + AND "catalog_sales"."cs_ship_date_sk" - "catalog_sales"."cs_sold_date_sk" > 90 + THEN 1 + ELSE 0 + END + ) AS "91-120 days", + SUM( + CASE + WHEN "catalog_sales"."cs_ship_date_sk" - "catalog_sales"."cs_sold_date_sk" > 120 + THEN 1 + ELSE 0 + END + ) AS ">120 days" +FROM "catalog_sales" AS "catalog_sales" +JOIN "warehouse" AS "warehouse" + ON "catalog_sales"."cs_warehouse_sk" = "warehouse"."w_warehouse_sk" +JOIN "ship_mode" AS "ship_mode" + ON "catalog_sales"."cs_ship_mode_sk" = "ship_mode"."sm_ship_mode_sk" +JOIN "call_center" AS "call_center" + ON "catalog_sales"."cs_call_center_sk" = "call_center"."cc_call_center_sk" +JOIN "date_dim" AS "date_dim" + ON "catalog_sales"."cs_ship_date_sk" = "date_dim"."d_date_sk" + AND "date_dim"."d_month_seq" <= 1211 + AND "date_dim"."d_month_seq" >= 1200 +GROUP BY + SUBSTR("warehouse"."w_warehouse_name", 1, 20), + "ship_mode"."sm_type", + "call_center"."cc_name" +ORDER BY + SUBSTR("warehouse"."w_warehouse_name", 1, 20), + "sm_type", + "cc_name" +LIMIT 100; + diff --git a/tests/fixtures/optimizer/tpc-h/tpc-h.sql b/tests/fixtures/optimizer/tpc-h/tpc-h.sql index 272fb26..ae50f92 100644 --- a/tests/fixtures/optimizer/tpc-h/tpc-h.sql +++ b/tests/fixtures/optimizer/tpc-h/tpc-h.sql @@ -390,9 +390,9 @@ SELECT )) AS "revenue" FROM "supplier" AS "supplier" JOIN "lineitem" AS "lineitem" - ON CAST("lineitem"."l_shipdate" AS DATE) <= CAST('1996-12-31' AS DATE) + ON "supplier"."s_suppkey" = "lineitem"."l_suppkey" + AND CAST("lineitem"."l_shipdate" AS DATE) <= CAST('1996-12-31' AS DATE) AND CAST("lineitem"."l_shipdate" AS DATE) >= CAST('1995-01-01' AS DATE) - AND "supplier"."s_suppkey" = "lineitem"."l_suppkey" JOIN "orders" AS "orders" ON "orders"."o_orderkey" = "lineitem"."l_orderkey" JOIN "customer" AS "customer" @@ -743,11 +743,11 @@ SELECT FROM "orders" AS "orders" JOIN "lineitem" AS "lineitem" ON "lineitem"."l_commitdate" < "lineitem"."l_receiptdate" - AND CAST("lineitem"."l_receiptdate" AS DATE) < CAST('1995-01-01' AS DATE) - AND CAST("lineitem"."l_receiptdate" AS DATE) >= CAST('1994-01-01' AS DATE) AND "lineitem"."l_shipdate" < "lineitem"."l_commitdate" AND "lineitem"."l_shipmode" IN ('MAIL', 'SHIP') AND "orders"."o_orderkey" = "lineitem"."l_orderkey" + AND CAST("lineitem"."l_receiptdate" AS DATE) < CAST('1995-01-01' AS DATE) + AND CAST("lineitem"."l_receiptdate" AS DATE) >= CAST('1994-01-01' AS DATE) GROUP BY "lineitem"."l_shipmode" ORDER BY @@ -1225,9 +1225,17 @@ order by s_name; WITH "_u_0" AS ( SELECT + "part"."p_partkey" AS "p_partkey" + FROM "part" AS "part" + WHERE + "part"."p_name" LIKE 'forest%' + GROUP BY + "part"."p_partkey" +), "_u_1" AS ( + SELECT 0.5 * SUM("lineitem"."l_quantity") AS "_col_0", - "lineitem"."l_partkey" AS "_u_1", - "lineitem"."l_suppkey" AS "_u_2" + "lineitem"."l_partkey" AS "_u_2", + "lineitem"."l_suppkey" AS "_u_3" FROM "lineitem" AS "lineitem" WHERE CAST("lineitem"."l_shipdate" AS DATE) < CAST('1995-01-01' AS DATE) @@ -1235,24 +1243,16 @@ WITH "_u_0" AS ( GROUP BY "lineitem"."l_partkey", "lineitem"."l_suppkey" -), "_u_3" AS ( - SELECT - "part"."p_partkey" AS "p_partkey" - FROM "part" AS "part" - WHERE - "part"."p_name" LIKE 'forest%' - GROUP BY - "part"."p_partkey" ), "_u_4" AS ( SELECT "partsupp"."ps_suppkey" AS "ps_suppkey" FROM "partsupp" AS "partsupp" LEFT JOIN "_u_0" AS "_u_0" - ON "_u_0"."_u_1" = "partsupp"."ps_partkey" AND "_u_0"."_u_2" = "partsupp"."ps_suppkey" - LEFT JOIN "_u_3" AS "_u_3" - ON "partsupp"."ps_partkey" = "_u_3"."p_partkey" + ON "partsupp"."ps_partkey" = "_u_0"."p_partkey" + LEFT JOIN "_u_1" AS "_u_1" + ON "_u_1"."_u_2" = "partsupp"."ps_partkey" AND "_u_1"."_u_3" = "partsupp"."ps_suppkey" WHERE - "partsupp"."ps_availqty" > "_u_0"."_col_0" AND NOT "_u_3"."p_partkey" IS NULL + "partsupp"."ps_availqty" > "_u_1"."_col_0" AND NOT "_u_0"."p_partkey" IS NULL GROUP BY "partsupp"."ps_suppkey" ) diff --git a/tests/helpers.py b/tests/helpers.py index bab4da0..30aeff7 100644 --- a/tests/helpers.py +++ b/tests/helpers.py @@ -133,3 +133,475 @@ TPCH_SCHEMA = { "r_comment": "string", }, } + +TPCDS_SCHEMA = { + "catalog_sales": { + "cs_sold_date_sk": "bigint", + "cs_sold_time_sk": "bigint", + "cs_ship_date_sk": "bigint", + "cs_bill_customer_sk": "bigint", + "cs_bill_cdemo_sk": "bigint", + "cs_bill_hdemo_sk": "bigint", + "cs_bill_addr_sk": "bigint", + "cs_ship_customer_sk": "bigint", + "cs_ship_cdemo_sk": "bigint", + "cs_ship_hdemo_sk": "bigint", + "cs_ship_addr_sk": "bigint", + "cs_call_center_sk": "bigint", + "cs_catalog_page_sk": "bigint", + "cs_ship_mode_sk": "bigint", + "cs_warehouse_sk": "bigint", + "cs_item_sk": "bigint", + "cs_promo_sk": "bigint", + "cs_order_number": "bigint", + "cs_quantity": "bigint", + "cs_wholesale_cost": "double", + "cs_list_price": "double", + "cs_sales_price": "double", + "cs_ext_discount_amt": "double", + "cs_ext_sales_price": "double", + "cs_ext_wholesale_cost": "double", + "cs_ext_list_price": "double", + "cs_ext_tax": "double", + "cs_coupon_amt": "double", + "cs_ext_ship_cost": "double", + "cs_net_paid": "double", + "cs_net_paid_inc_tax": "double", + "cs_net_paid_inc_ship": "double", + "cs_net_paid_inc_ship_tax": "double", + "cs_net_profit": "double", + }, + "catalog_returns": { + "cr_returned_date_sk": "bigint", + "cr_returned_time_sk": "bigint", + "cr_item_sk": "bigint", + "cr_refunded_customer_sk": "bigint", + "cr_refunded_cdemo_sk": "bigint", + "cr_refunded_hdemo_sk": "bigint", + "cr_refunded_addr_sk": "bigint", + "cr_returning_customer_sk": "bigint", + "cr_returning_cdemo_sk": "bigint", + "cr_returning_hdemo_sk": "bigint", + "cr_returning_addr_sk": "bigint", + "cr_call_center_sk": "bigint", + "cr_catalog_page_sk": "bigint", + "cr_ship_mode_sk": "bigint", + "cr_warehouse_sk": "bigint", + "cr_reason_sk": "bigint", + "cr_order_number": "bigint", + "cr_return_quantity": "bigint", + "cr_return_amount": "double", + "cr_return_tax": "double", + "cr_return_amt_inc_tax": "double", + "cr_fee": "double", + "cr_return_ship_cost": "double", + "cr_refunded_cash": "double", + "cr_reversed_charge": "double", + "cr_store_credit": "double", + "cr_net_loss": "double", + }, + "inventory": { + "inv_date_sk": "bigint", + "inv_item_sk": "bigint", + "inv_warehouse_sk": "bigint", + "inv_quantity_on_hand": "bigint", + }, + "store_sales": { + "ss_sold_date_sk": "bigint", + "ss_sold_time_sk": "bigint", + "ss_item_sk": "bigint", + "ss_customer_sk": "bigint", + "ss_cdemo_sk": "bigint", + "ss_hdemo_sk": "bigint", + "ss_addr_sk": "bigint", + "ss_store_sk": "bigint", + "ss_promo_sk": "bigint", + "ss_ticket_number": "bigint", + "ss_quantity": "bigint", + "ss_wholesale_cost": "double", + "ss_list_price": "double", + "ss_sales_price": "double", + "ss_ext_discount_amt": "double", + "ss_ext_sales_price": "double", + "ss_ext_wholesale_cost": "double", + "ss_ext_list_price": "double", + "ss_ext_tax": "double", + "ss_coupon_amt": "double", + "ss_net_paid": "double", + "ss_net_paid_inc_tax": "double", + "ss_net_profit": "double", + }, + "store_returns": { + "sr_returned_date_sk": "bigint", + "sr_return_time_sk": "bigint", + "sr_item_sk": "bigint", + "sr_customer_sk": "bigint", + "sr_cdemo_sk": "bigint", + "sr_hdemo_sk": "bigint", + "sr_addr_sk": "bigint", + "sr_store_sk": "bigint", + "sr_reason_sk": "bigint", + "sr_ticket_number": "bigint", + "sr_return_quantity": "bigint", + "sr_return_amt": "double", + "sr_return_tax": "double", + "sr_return_amt_inc_tax": "double", + "sr_fee": "double", + "sr_return_ship_cost": "double", + "sr_refunded_cash": "double", + "sr_reversed_charge": "double", + "sr_store_credit": "double", + "sr_net_loss": "double", + }, + "web_sales": { + "ws_sold_date_sk": "bigint", + "ws_sold_time_sk": "bigint", + "ws_ship_date_sk": "bigint", + "ws_item_sk": "bigint", + "ws_bill_customer_sk": "bigint", + "ws_bill_cdemo_sk": "bigint", + "ws_bill_hdemo_sk": "bigint", + "ws_bill_addr_sk": "bigint", + "ws_ship_customer_sk": "bigint", + "ws_ship_cdemo_sk": "bigint", + "ws_ship_hdemo_sk": "bigint", + "ws_ship_addr_sk": "bigint", + "ws_web_page_sk": "bigint", + "ws_web_site_sk": "bigint", + "ws_ship_mode_sk": "bigint", + "ws_warehouse_sk": "bigint", + "ws_promo_sk": "bigint", + "ws_order_number": "bigint", + "ws_quantity": "bigint", + "ws_wholesale_cost": "double", + "ws_list_price": "double", + "ws_sales_price": "double", + "ws_ext_discount_amt": "double", + "ws_ext_sales_price": "double", + "ws_ext_wholesale_cost": "double", + "ws_ext_list_price": "double", + "ws_ext_tax": "double", + "ws_coupon_amt": "double", + "ws_ext_ship_cost": "double", + "ws_net_paid": "double", + "ws_net_paid_inc_tax": "double", + "ws_net_paid_inc_ship": "double", + "ws_net_paid_inc_ship_tax": "double", + "ws_net_profit": "double", + }, + "web_returns": { + "wr_returned_date_sk": "bigint", + "wr_returned_time_sk": "bigint", + "wr_item_sk": "bigint", + "wr_refunded_customer_sk": "bigint", + "wr_refunded_cdemo_sk": "bigint", + "wr_refunded_hdemo_sk": "bigint", + "wr_refunded_addr_sk": "bigint", + "wr_returning_customer_sk": "bigint", + "wr_returning_cdemo_sk": "bigint", + "wr_returning_hdemo_sk": "bigint", + "wr_returning_addr_sk": "bigint", + "wr_web_page_sk": "bigint", + "wr_reason_sk": "bigint", + "wr_order_number": "bigint", + "wr_return_quantity": "bigint", + "wr_return_amt": "double", + "wr_return_tax": "double", + "wr_return_amt_inc_tax": "double", + "wr_fee": "double", + "wr_return_ship_cost": "double", + "wr_refunded_cash": "double", + "wr_reversed_charge": "double", + "wr_account_credit": "double", + "wr_net_loss": "double", + }, + "call_center": { + "cc_call_center_sk": "bigint", + "cc_call_center_id": "string", + "cc_rec_start_date": "string", + "cc_rec_end_date": "string", + "cc_closed_date_sk": "bigint", + "cc_open_date_sk": "bigint", + "cc_name": "string", + "cc_class": "string", + "cc_employees": "bigint", + "cc_sq_ft": "bigint", + "cc_hours": "string", + "cc_manager": "string", + "cc_mkt_id": "bigint", + "cc_mkt_class": "string", + "cc_mkt_desc": "string", + "cc_market_manager": "string", + "cc_division": "bigint", + "cc_division_name": "string", + "cc_company": "bigint", + "cc_company_name": "string", + "cc_street_number": "string", + "cc_street_name": "string", + "cc_street_type": "string", + "cc_suite_number": "string", + "cc_city": "string", + "cc_county": "string", + "cc_state": "string", + "cc_zip": "string", + "cc_country": "string", + "cc_gmt_offset": "double", + "cc_tax_percentage": "double", + }, + "catalog_page": { + "cp_catalog_page_sk": "bigint", + "cp_catalog_page_id": "string", + "cp_start_date_sk": "bigint", + "cp_end_date_sk": "bigint", + "cp_department": "string", + "cp_catalog_number": "bigint", + "cp_catalog_page_number": "bigint", + "cp_description": "string", + "cp_type": "string", + }, + "customer": { + "c_customer_sk": "bigint", + "c_customer_id": "string", + "c_current_cdemo_sk": "bigint", + "c_current_hdemo_sk": "bigint", + "c_current_addr_sk": "bigint", + "c_first_shipto_date_sk": "bigint", + "c_first_sales_date_sk": "bigint", + "c_salutation": "string", + "c_first_name": "string", + "c_last_name": "string", + "c_preferred_cust_flag": "string", + "c_birth_day": "bigint", + "c_birth_month": "bigint", + "c_birth_year": "bigint", + "c_birth_country": "string", + "c_login": "string", + "c_email_address": "string", + "c_last_review_date": "string", + }, + "customer_address": { + "ca_address_sk": "bigint", + "ca_address_id": "string", + "ca_street_number": "string", + "ca_street_name": "string", + "ca_street_type": "string", + "ca_suite_number": "string", + "ca_city": "string", + "ca_county": "string", + "ca_state": "string", + "ca_zip": "string", + "ca_country": "string", + "ca_gmt_offset": "double", + "ca_location_type": "string", + }, + "customer_demographics": { + "cd_demo_sk": "bigint", + "cd_gender": "string", + "cd_marital_status": "string", + "cd_education_status": "string", + "cd_purchase_estimate": "bigint", + "cd_credit_rating": "string", + "cd_dep_count": "bigint", + "cd_dep_employed_count": "bigint", + "cd_dep_college_count": "bigint", + }, + "date_dim": { + "d_date_sk": "bigint", + "d_date_id": "string", + "d_date": "string", + "d_month_seq": "bigint", + "d_week_seq": "bigint", + "d_quarter_seq": "bigint", + "d_year": "bigint", + "d_dow": "bigint", + "d_moy": "bigint", + "d_dom": "bigint", + "d_qoy": "bigint", + "d_fy_year": "bigint", + "d_fy_quarter_seq": "bigint", + "d_fy_week_seq": "bigint", + "d_day_name": "string", + "d_quarter_name": "string", + "d_holiday": "string", + "d_weekend": "string", + "d_following_holiday": "string", + "d_first_dom": "bigint", + "d_last_dom": "bigint", + "d_same_day_ly": "bigint", + "d_same_day_lq": "bigint", + "d_current_day": "string", + "d_current_week": "string", + "d_current_month": "string", + "d_current_quarter": "string", + "d_current_year": "string", + }, + "household_demographics": { + "hd_demo_sk": "bigint", + "hd_income_band_sk": "bigint", + "hd_buy_potential": "string", + "hd_dep_count": "bigint", + "hd_vehicle_count": "bigint", + }, + "income_band": { + "ib_income_band_sk": "bigint", + "ib_lower_bound": "bigint", + "ib_upper_bound": "bigint", + }, + "item": { + "i_item_sk": "bigint", + "i_item_id": "string", + "i_rec_start_date": "string", + "i_rec_end_date": "string", + "i_item_desc": "string", + "i_current_price": "double", + "i_wholesale_cost": "double", + "i_brand_id": "bigint", + "i_brand": "string", + "i_class_id": "bigint", + "i_class": "string", + "i_category_id": "bigint", + "i_category": "string", + "i_manufact_id": "bigint", + "i_manufact": "string", + "i_size": "string", + "i_formulation": "string", + "i_color": "string", + "i_units": "string", + "i_container": "string", + "i_manager_id": "bigint", + "i_product_name": "string", + }, + "promotion": { + "p_promo_sk": "bigint", + "p_promo_id": "string", + "p_start_date_sk": "bigint", + "p_end_date_sk": "bigint", + "p_item_sk": "bigint", + "p_cost": "double", + "p_response_target": "bigint", + "p_promo_name": "string", + "p_channel_dmail": "string", + "p_channel_email": "string", + "p_channel_catalog": "string", + "p_channel_tv": "string", + "p_channel_radio": "string", + "p_channel_press": "string", + "p_channel_event": "string", + "p_channel_demo": "string", + "p_channel_details": "string", + "p_purpose": "string", + "p_discount_active": "string", + }, + "reason": {"r_reason_sk": "bigint", "r_reason_id": "string", "r_reason_desc": "string"}, + "ship_mode": { + "sm_ship_mode_sk": "bigint", + "sm_ship_mode_id": "string", + "sm_type": "string", + "sm_code": "string", + "sm_carrier": "string", + "sm_contract": "string", + }, + "store": { + "s_store_sk": "bigint", + "s_store_id": "string", + "s_rec_start_date": "string", + "s_rec_end_date": "string", + "s_closed_date_sk": "bigint", + "s_store_name": "string", + "s_number_employees": "bigint", + "s_floor_space": "bigint", + "s_hours": "string", + "s_manager": "string", + "s_market_id": "bigint", + "s_geography_class": "string", + "s_market_desc": "string", + "s_market_manager": "string", + "s_division_id": "bigint", + "s_division_name": "string", + "s_company_id": "bigint", + "s_company_name": "string", + "s_street_number": "string", + "s_street_name": "string", + "s_street_type": "string", + "s_suite_number": "string", + "s_city": "string", + "s_county": "string", + "s_state": "string", + "s_zip": "string", + "s_country": "string", + "s_gmt_offset": "double", + "s_tax_precentage": "double", + }, + "time_dim": { + "t_time_sk": "bigint", + "t_time_id": "string", + "t_time": "bigint", + "t_hour": "bigint", + "t_minute": "bigint", + "t_second": "bigint", + "t_am_pm": "string", + "t_shift": "string", + "t_sub_shift": "string", + "t_meal_time": "string", + }, + "warehouse": { + "w_warehouse_sk": "bigint", + "w_warehouse_id": "string", + "w_warehouse_name": "string", + "w_warehouse_sq_ft": "bigint", + "w_street_number": "string", + "w_street_name": "string", + "w_street_type": "string", + "w_suite_number": "string", + "w_city": "string", + "w_county": "string", + "w_state": "string", + "w_zip": "string", + "w_country": "string", + "w_gmt_offset": "double", + }, + "web_page": { + "wp_web_page_sk": "bigint", + "wp_web_page_id": "string", + "wp_rec_start_date": "string", + "wp_rec_end_date": "string", + "wp_creation_date_sk": "bigint", + "wp_access_date_sk": "bigint", + "wp_autogen_flag": "string", + "wp_customer_sk": "bigint", + "wp_url": "string", + "wp_type": "string", + "wp_char_count": "bigint", + "wp_link_count": "bigint", + "wp_image_count": "bigint", + "wp_max_ad_count": "bigint", + }, + "web_site": { + "web_site_sk": "bigint", + "web_site_id": "string", + "web_rec_start_date": "string", + "web_rec_end_date": "string", + "web_name": "string", + "web_open_date_sk": "bigint", + "web_close_date_sk": "bigint", + "web_class": "string", + "web_manager": "string", + "web_mkt_id": "bigint", + "web_mkt_class": "string", + "web_mkt_desc": "string", + "web_market_manager": "string", + "web_company_id": "bigint", + "web_company_name": "string", + "web_street_number": "string", + "web_street_name": "string", + "web_street_type": "string", + "web_suite_number": "string", + "web_city": "string", + "web_county": "string", + "web_state": "string", + "web_zip": "string", + "web_country": "string", + "web_gmt_offset": "string", + "web_tax_percentage": "double", + }, +} diff --git a/tests/test_diff.py b/tests/test_diff.py index 372af70..d5fa163 100644 --- a/tests/test_diff.py +++ b/tests/test_diff.py @@ -155,6 +155,19 @@ class TestDiff(unittest.TestCase): with self.assertRaises(ValueError): diff(expr_src, expr_tgt, matchings=[(expr_src, expr_tgt), (expr_src, expr_tgt)]) + def test_identifier(self): + expr_src = parse_one("SELECT a FROM tbl") + expr_tgt = parse_one("SELECT a, tbl.b from tbl") + + self._validate_delta_only( + diff(expr_src, expr_tgt), + [ + Insert(expression=exp.to_identifier("b")), + Insert(expression=exp.to_column("tbl.b")), + Insert(expression=exp.to_identifier("tbl")), + ], + ) + def _validate_delta_only(self, actual_diff, expected_delta): actual_delta = _delta_only(actual_diff) self.assertEqual(set(actual_delta), set(expected_delta)) diff --git a/tests/test_executor.py b/tests/test_executor.py index 013ff34..c455f3a 100644 --- a/tests/test_executor.py +++ b/tests/test_executor.py @@ -401,6 +401,16 @@ class TestExecutor(unittest.TestCase): ], ) + table1_view = exp.Select().select("id", "sub_type").from_("table1").subquery() + select_from_sub_query = exp.Select().select("id AS id_alias", "sub_type").from_(table1_view) + expression = exp.Select().select("*").from_("cte1").with_("cte1", as_=select_from_sub_query) + + schema = {"table1": {"id": "str", "sub_type": "str"}} + executed = execute(expression, tables={t: [] for t in schema}, schema=schema) + + self.assertEqual(executed.rows, []) + self.assertEqual(executed.columns, ("id_alias", "sub_type")) + def test_correlated_count(self): tables = { "parts": [{"pnum": 0, "qoh": 1}], diff --git a/tests/test_expressions.py b/tests/test_expressions.py index 69e1d14..c22f13e 100644 --- a/tests/test_expressions.py +++ b/tests/test_expressions.py @@ -15,6 +15,20 @@ class TestExpressions(unittest.TestCase): self.assertEqual(parse_one("x(1)").find(exp.Literal).depth, 1) def test_eq(self): + self.assertEqual(exp.to_identifier("a"), exp.to_identifier("A")) + + self.assertEqual( + exp.Column(table=exp.to_identifier("b"), this=exp.to_identifier("b")), + exp.Column(this=exp.to_identifier("b"), table=exp.to_identifier("b")), + ) + + self.assertEqual(exp.to_identifier("a", quoted=True), exp.to_identifier("A")) + self.assertNotEqual(exp.to_identifier("A", quoted=True), exp.to_identifier("A")) + self.assertNotEqual( + exp.to_identifier("A", quoted=True), exp.to_identifier("a", quoted=True) + ) + self.assertNotEqual(parse_one("'x'"), parse_one("'X'")) + self.assertNotEqual(parse_one("'1'"), parse_one("1")) self.assertEqual(parse_one("`a`", read="hive"), parse_one('"a"')) self.assertEqual(parse_one("`a`", read="hive"), parse_one('"a" ')) self.assertEqual(parse_one("`a`.b", read="hive"), parse_one('"a"."b"')) @@ -330,6 +344,7 @@ class TestExpressions(unittest.TestCase): self.assertEqual(parse_one("x + y * 2").sql(), "x + y * 2") self.assertEqual(parse_one('select "x"').sql(dialect="hive", pretty=True), "SELECT\n `x`") self.assertEqual(parse_one("X + y").sql(identify=True, normalize=True), '"x" + "y"') + self.assertEqual(parse_one('"X" + Y').sql(identify=True, normalize=True), '"X" + "y"') self.assertEqual(parse_one("SUM(X)").sql(identify=True, normalize=True), 'SUM("x")') def test_transform_with_arguments(self): @@ -450,22 +465,28 @@ class TestExpressions(unittest.TestCase): self.assertIsInstance(parse_one("ARRAY_CONTAINS(a, 'a')"), exp.ArrayContains) self.assertIsInstance(parse_one("ARRAY_SIZE(a)"), exp.ArraySize) self.assertIsInstance(parse_one("AVG(a)"), exp.Avg) + self.assertIsInstance(parse_one("BEGIN DEFERRED TRANSACTION"), exp.Transaction) self.assertIsInstance(parse_one("CEIL(a)"), exp.Ceil) self.assertIsInstance(parse_one("CEILING(a)"), exp.Ceil) self.assertIsInstance(parse_one("COALESCE(a, b)"), exp.Coalesce) + self.assertIsInstance(parse_one("COMMIT"), exp.Commit) self.assertIsInstance(parse_one("COUNT(a)"), exp.Count) + self.assertIsInstance(parse_one("COUNT_IF(a > 0)"), exp.CountIf) self.assertIsInstance(parse_one("DATE_ADD(a, 1)"), exp.DateAdd) self.assertIsInstance(parse_one("DATE_DIFF(a, 2)"), exp.DateDiff) self.assertIsInstance(parse_one("DATE_STR_TO_DATE(a)"), exp.DateStrToDate) self.assertIsInstance(parse_one("DAY(a)"), exp.Day) self.assertIsInstance(parse_one("EXP(a)"), exp.Exp) self.assertIsInstance(parse_one("FLOOR(a)"), exp.Floor) + self.assertIsInstance(parse_one("GENERATE_SERIES(a, b, c)"), exp.GenerateSeries) + self.assertIsInstance(parse_one("GLOB(x, y)"), exp.Glob) self.assertIsInstance(parse_one("GREATEST(a, b)"), exp.Greatest) self.assertIsInstance(parse_one("IF(a, b, c)"), exp.If) self.assertIsInstance(parse_one("INITCAP(a)"), exp.Initcap) self.assertIsInstance(parse_one("JSON_EXTRACT(a, '$.name')"), exp.JSONExtract) self.assertIsInstance(parse_one("JSON_EXTRACT_SCALAR(a, '$.name')"), exp.JSONExtractScalar) self.assertIsInstance(parse_one("LEAST(a, b)"), exp.Least) + self.assertIsInstance(parse_one("LIKE(x, y)"), exp.Like) self.assertIsInstance(parse_one("LN(a)"), exp.Ln) self.assertIsInstance(parse_one("LOG10(a)"), exp.Log10) self.assertIsInstance(parse_one("MAX(a)"), exp.Max) @@ -477,6 +498,7 @@ class TestExpressions(unittest.TestCase): self.assertIsInstance(parse_one("QUANTILE(a, 0.90)"), exp.Quantile) self.assertIsInstance(parse_one("REGEXP_LIKE(a, 'test')"), exp.RegexpLike) self.assertIsInstance(parse_one("REGEXP_SPLIT(a, 'test')"), exp.RegexpSplit) + self.assertIsInstance(parse_one("ROLLBACK"), exp.Rollback) self.assertIsInstance(parse_one("ROUND(a)"), exp.Round) self.assertIsInstance(parse_one("ROUND(a, 2)"), exp.Round) self.assertIsInstance(parse_one("SPLIT(a, 'test')"), exp.Split) @@ -504,11 +526,6 @@ class TestExpressions(unittest.TestCase): self.assertIsInstance(parse_one("VARIANCE(a)"), exp.Variance) self.assertIsInstance(parse_one("VARIANCE_POP(a)"), exp.VariancePop) self.assertIsInstance(parse_one("YEAR(a)"), exp.Year) - self.assertIsInstance(parse_one("BEGIN DEFERRED TRANSACTION"), exp.Transaction) - self.assertIsInstance(parse_one("COMMIT"), exp.Commit) - self.assertIsInstance(parse_one("ROLLBACK"), exp.Rollback) - self.assertIsInstance(parse_one("GENERATE_SERIES(a, b, c)"), exp.GenerateSeries) - self.assertIsInstance(parse_one("COUNT_IF(a > 0)"), exp.CountIf) def test_column(self): column = parse_one("a.b.c.d") @@ -542,6 +559,7 @@ class TestExpressions(unittest.TestCase): self.assertEqual(column.table, "a") self.assertIsInstance(parse_one("*"), exp.Star) + self.assertEqual(exp.column("a", table="b", db="c", catalog="d"), exp.to_column("d.c.b.a")) def test_text(self): column = parse_one("a.b.c.d.e") diff --git a/tests/test_optimizer.py b/tests/test_optimizer.py index e10d05e..597fa6f 100644 --- a/tests/test_optimizer.py +++ b/tests/test_optimizer.py @@ -1,4 +1,5 @@ import unittest +from concurrent.futures import ProcessPoolExecutor, as_completed from functools import partial import duckdb @@ -11,6 +12,7 @@ from sqlglot.optimizer.annotate_types import annotate_types from sqlglot.optimizer.scope import build_scope, traverse_scope, walk_in_scope from sqlglot.schema import MappingSchema from tests.helpers import ( + TPCDS_SCHEMA, TPCH_SCHEMA, load_sql_fixture_pairs, load_sql_fixtures, @@ -18,6 +20,28 @@ from tests.helpers import ( ) +def parse_and_optimize(func, sql, dialect, **kwargs): + return func(parse_one(sql, read=dialect), **kwargs) + + +def qualify_columns(expression, **kwargs): + expression = optimizer.qualify_tables.qualify_tables(expression) + expression = optimizer.qualify_columns.qualify_columns(expression, **kwargs) + return expression + + +def pushdown_projections(expression, **kwargs): + expression = optimizer.qualify_tables.qualify_tables(expression) + expression = optimizer.qualify_columns.qualify_columns(expression, **kwargs) + expression = optimizer.pushdown_projections.pushdown_projections(expression, **kwargs) + return expression + + +def normalize(expression, **kwargs): + expression = optimizer.normalize.normalize(expression, dnf=False) + return optimizer.simplify.simplify(expression) + + class TestOptimizer(unittest.TestCase): maxDiff = None @@ -74,29 +98,35 @@ class TestOptimizer(unittest.TestCase): } def check_file(self, file, func, pretty=False, execute=False, **kwargs): - for i, (meta, sql, expected) in enumerate( - load_sql_fixture_pairs(f"optimizer/{file}.sql"), start=1 - ): - title = meta.get("title") or f"{i}, {sql}" - dialect = meta.get("dialect") - leave_tables_isolated = meta.get("leave_tables_isolated") + with ProcessPoolExecutor() as pool: + results = {} + + for i, (meta, sql, expected) in enumerate( + load_sql_fixture_pairs(f"optimizer/{file}.sql"), start=1 + ): + title = meta.get("title") or f"{i}, {sql}" + dialect = meta.get("dialect") + execute = execute if meta.get("execute") is None else False + leave_tables_isolated = meta.get("leave_tables_isolated") - func_kwargs = {**kwargs} - if leave_tables_isolated is not None: - func_kwargs["leave_tables_isolated"] = string_to_bool(leave_tables_isolated) + func_kwargs = {**kwargs} + if leave_tables_isolated is not None: + func_kwargs["leave_tables_isolated"] = string_to_bool(leave_tables_isolated) + + future = pool.submit(parse_and_optimize, func, sql, dialect, **func_kwargs) + results[future] = (sql, title, expected, dialect, execute) + + for future in as_completed(results): + optimized = future.result() + sql, title, expected, dialect, execute = results[future] with self.subTest(title): - optimized = func(parse_one(sql, read=dialect), **func_kwargs) self.assertEqual( expected, optimized.sql(pretty=pretty, dialect=dialect), ) - should_execute = meta.get("execute") - if should_execute is None: - should_execute = execute - - if string_to_bool(should_execute): + if string_to_bool(execute): with self.subTest(f"(execute) {title}"): df1 = self.conn.execute( sqlglot.transpile(sql, read=dialect, write="duckdb")[0] @@ -137,25 +167,19 @@ class TestOptimizer(unittest.TestCase): "(x AND y) OR (x AND z)", ) - self.check_file( - "normalize", - optimizer.normalize.normalize, + self.assertEqual( + optimizer.normalize.normalize( + parse_one("x AND (y OR z)"), + ).sql(), + "x AND (y OR z)", ) - def test_qualify_columns(self): - def qualify_columns(expression, **kwargs): - expression = optimizer.qualify_tables.qualify_tables(expression) - expression = optimizer.qualify_columns.qualify_columns(expression, **kwargs) - return expression + self.check_file("normalize", normalize) + def test_qualify_columns(self): self.check_file("qualify_columns", qualify_columns, execute=True, schema=self.schema) def test_qualify_columns__with_invisible(self): - def qualify_columns(expression, **kwargs): - expression = optimizer.qualify_tables.qualify_tables(expression) - expression = optimizer.qualify_columns.qualify_columns(expression, **kwargs) - return expression - schema = MappingSchema(self.schema, {"x": {"a"}, "y": {"b"}, "z": {"b"}}) self.check_file("qualify_columns__with_invisible", qualify_columns, schema=schema) @@ -172,17 +196,15 @@ class TestOptimizer(unittest.TestCase): self.check_file("lower_identities", optimizer.lower_identities.lower_identities) def test_pushdown_projection(self): - def pushdown_projections(expression, **kwargs): - expression = optimizer.qualify_tables.qualify_tables(expression) - expression = optimizer.qualify_columns.qualify_columns(expression, **kwargs) - expression = optimizer.pushdown_projections.pushdown_projections(expression, **kwargs) - return expression - self.check_file("pushdown_projections", pushdown_projections, schema=self.schema) def test_simplify(self): self.check_file("simplify", optimizer.simplify.simplify) + expression = parse_one("TRUE AND TRUE AND TRUE") + self.assertEqual(exp.true(), optimizer.simplify.simplify(expression)) + self.assertEqual(exp.true(), optimizer.simplify.simplify(expression.this)) + def test_unnest_subqueries(self): self.check_file( "unnest_subqueries", @@ -257,6 +279,9 @@ class TestOptimizer(unittest.TestCase): def test_tpch(self): self.check_file("tpc-h/tpc-h", optimizer.optimize, schema=TPCH_SCHEMA, pretty=True) + def test_tpcds(self): + self.check_file("tpc-ds/tpc-ds", optimizer.optimize, schema=TPCDS_SCHEMA, pretty=True) + def test_file_schema(self): expression = parse_one( """ @@ -578,6 +603,10 @@ FROM READ_CSV('tests/fixtures/optimizer/tpc-h/nation.csv.gz', 'delimiter', '|') ) self.assertEqual(expression.expressions[0].type.this, target_type) + def test_concat_annotation(self): + expression = annotate_types(parse_one("CONCAT('A', 'B')")) + self.assertEqual(expression.type.this, exp.DataType.Type.VARCHAR) + def test_recursive_cte(self): query = parse_one( """ diff --git a/tests/test_parser.py b/tests/test_parser.py index 861e47f..07a5fd7 100644 --- a/tests/test_parser.py +++ b/tests/test_parser.py @@ -79,6 +79,9 @@ class TestParser(unittest.TestCase): def test_union_order(self): self.assertIsInstance(parse_one("SELECT * FROM (SELECT 1) UNION SELECT 2"), exp.Union) + self.assertIsInstance( + parse_one("SELECT x FROM y HAVING x > (SELECT 1) UNION SELECT 2"), exp.Union + ) def test_select(self): self.assertIsNotNone(parse_one("select 1 natural")) @@ -357,7 +360,7 @@ class TestParser(unittest.TestCase): @patch("sqlglot.parser.logger") def test_create_table_error(self, logger): parse_one( - """CREATE TABLE PARTITION""", + """CREATE TABLE SELECT""", error_level=ErrorLevel.WARN, ) diff --git a/tests/test_transpile.py b/tests/test_transpile.py index 6355400..36e0aa6 100644 --- a/tests/test_transpile.py +++ b/tests/test_transpile.py @@ -507,14 +507,14 @@ FROM bar /* comment 5 */, tbl /* comment 6 */""", more_than_max_errors = "((((" expected_messages = ( - "Expecting ). Line 1, Col: 4.\n (((\033[4m(\033[0m\n\n" "Required keyword: 'this' missing for <class 'sqlglot.expressions.Paren'>. Line 1, Col: 4.\n (((\033[4m(\033[0m\n\n" "Expecting ). Line 1, Col: 4.\n (((\033[4m(\033[0m\n\n" + "Expecting ). Line 1, Col: 4.\n (((\033[4m(\033[0m\n\n" "... and 2 more" ) expected_errors = [ { - "description": "Expecting )", + "description": "Required keyword: 'this' missing for <class 'sqlglot.expressions.Paren'>", "line": 1, "col": 4, "start_context": "(((", @@ -523,7 +523,7 @@ FROM bar /* comment 5 */, tbl /* comment 6 */""", "into_expression": None, }, { - "description": "Required keyword: 'this' missing for <class 'sqlglot.expressions.Paren'>", + "description": "Expecting )", "line": 1, "col": 4, "start_context": "(((", @@ -533,7 +533,7 @@ FROM bar /* comment 5 */, tbl /* comment 6 */""", }, ] # Also expect three trailing structured errors that match the first - expected_errors += [expected_errors[0]] * 3 + expected_errors += [expected_errors[1]] * 3 with self.assertRaises(ParseError) as ctx: transpile(more_than_max_errors, error_level=ErrorLevel.RAISE) diff --git a/tests/tpch.py b/tests/tpch.py new file mode 100644 index 0000000..0b6de63 --- /dev/null +++ b/tests/tpch.py @@ -0,0 +1,37 @@ +import time + +from sqlglot.optimizer import optimize + +INPUT = "" +OUTPUT = "" +NUM = 99 +SCHEMA = {} +KIND = "DS" + +with open(OUTPUT, "w", encoding="UTF-8") as fixture: + for i in range(NUM): + i = i + 1 + with open(INPUT.format(i=i), encoding="UTF-8") as file: + original = "\n".join( + line.rstrip() + for line in file.read().split(";")[0].split("\n") + if not line.startswith("--") + ) + original = original.replace("`", '"') + now = time.time() + try: + optimized = optimize(original, schema=SCHEMA) + except Exception as e: + print("****", i, e, "****") + continue + + fixture.write( + f"""-------------------------------------- +-- TPC-{KIND} {i} +-------------------------------------- +{original}; +{optimized.sql(pretty=True)}; + +""" + ) + print(i, time.time() - now) |