from unittest import mock from sqlglot import UnsupportedError, exp, parse_one from sqlglot.optimizer.normalize_identifiers import normalize_identifiers from sqlglot.optimizer.qualify_columns import quote_identifiers from tests.dialects.test_dialect import Validator class TestSnowflake(Validator): maxDiff = None dialect = "snowflake" def test_snowflake(self): self.validate_identity( "transform(x, a int -> a + a + 1)", "TRANSFORM(x, a -> CAST(a AS INT) + CAST(a AS INT) + 1)", ) self.validate_all( "ARRAY_CONSTRUCT_COMPACT(1, null, 2)", write={ "spark": "ARRAY_COMPACT(ARRAY(1, NULL, 2))", "snowflake": "ARRAY_CONSTRUCT_COMPACT(1, NULL, 2)", }, ) expr = parse_one("SELECT APPROX_TOP_K(C4, 3, 5) FROM t") expr.selects[0].assert_is(exp.AggFunc) self.assertEqual(expr.sql(dialect="snowflake"), "SELECT APPROX_TOP_K(C4, 3, 5) FROM t") self.assertEqual( exp.select(exp.Explode(this=exp.column("x")).as_("y", quoted=True)).sql( "snowflake", pretty=True ), """SELECT IFF(_u.pos = _u_2.pos_2, _u_2."y", NULL) AS "y" FROM TABLE(FLATTEN(INPUT => ARRAY_GENERATE_RANGE(0, ( GREATEST(ARRAY_SIZE(x)) - 1 ) + 1))) AS _u(seq, key, path, index, pos, this) CROSS JOIN TABLE(FLATTEN(INPUT => x)) AS _u_2(seq, key, path, pos_2, "y", this) WHERE _u.pos = _u_2.pos_2 OR ( _u.pos > ( ARRAY_SIZE(x) - 1 ) AND _u_2.pos_2 = ( ARRAY_SIZE(x) - 1 ) )""", ) self.validate_identity("SELECT number").selects[0].assert_is(exp.Column) self.validate_identity("INTERVAL '4 years, 5 months, 3 hours'") self.validate_identity("ALTER TABLE table1 CLUSTER BY (name DESC)") self.validate_identity("SELECT rename, replace") self.validate_identity("SELECT TIMEADD(HOUR, 2, CAST('09:05:03' AS TIME))") self.validate_identity("SELECT CAST(OBJECT_CONSTRUCT('a', 1) AS MAP(VARCHAR, INT))") self.validate_identity("SELECT CAST(OBJECT_CONSTRUCT('a', 1) AS OBJECT(a CHAR NOT NULL))") self.validate_identity("SELECT CAST([1, 2, 3] AS ARRAY(INT))") self.validate_identity("SELECT CAST(obj AS OBJECT(x CHAR) RENAME FIELDS)") self.validate_identity("SELECT CAST(obj AS OBJECT(x CHAR, y VARCHAR) ADD FIELDS)") self.validate_identity("SELECT TO_TIMESTAMP(123.4)").selects[0].assert_is(exp.Anonymous) self.validate_identity("SELECT TO_TIME(x) FROM t") self.validate_identity("SELECT TO_TIMESTAMP(x) FROM t") self.validate_identity("SELECT TO_TIMESTAMP_NTZ(x) FROM t") self.validate_identity("SELECT TO_TIMESTAMP_LTZ(x) FROM t") self.validate_identity("SELECT TO_TIMESTAMP_TZ(x) FROM t") self.validate_identity("TO_DECIMAL(expr, fmt, precision, scale)") self.validate_identity("ALTER TABLE authors ADD CONSTRAINT c1 UNIQUE (id, email)") self.validate_identity("RM @parquet_stage", check_command_warning=True) self.validate_identity("REMOVE @parquet_stage", check_command_warning=True) self.validate_identity("SELECT TIMESTAMP_FROM_PARTS(d, t)") self.validate_identity("SELECT GET_PATH(v, 'attr[0].name') FROM vartab") self.validate_identity("SELECT TO_ARRAY(CAST(x AS ARRAY))") self.validate_identity("SELECT TO_ARRAY(CAST(['test'] AS VARIANT))") self.validate_identity("SELECT ARRAY_UNIQUE_AGG(x)") self.validate_identity("SELECT OBJECT_CONSTRUCT()") self.validate_identity("SELECT DAYOFMONTH(CURRENT_TIMESTAMP())") self.validate_identity("SELECT DAYOFYEAR(CURRENT_TIMESTAMP())") self.validate_identity("LISTAGG(data['some_field'], ',')") self.validate_identity("WEEKOFYEAR(tstamp)") self.validate_identity("SELECT QUARTER(CURRENT_TIMESTAMP())") self.validate_identity("SELECT SUM(amount) FROM mytable GROUP BY ALL") self.validate_identity("WITH x AS (SELECT 1 AS foo) SELECT foo FROM IDENTIFIER('x')") self.validate_identity("WITH x AS (SELECT 1 AS foo) SELECT IDENTIFIER('foo') FROM x") self.validate_identity("INITCAP('iqamqinterestedqinqthisqtopic', 'q')") self.validate_identity("CAST(x AS GEOMETRY)") self.validate_identity("OBJECT_CONSTRUCT(*)") self.validate_identity("SELECT CAST('2021-01-01' AS DATE) + INTERVAL '1 DAY'") self.validate_identity("SELECT HLL(*)") self.validate_identity("SELECT HLL(a)") self.validate_identity("SELECT HLL(DISTINCT t.a)") self.validate_identity("SELECT HLL(a, b, c)") self.validate_identity("SELECT HLL(DISTINCT a, b, c)") self.validate_identity("$x") # parameter self.validate_identity("a$b") # valid snowflake identifier self.validate_identity("SELECT REGEXP_LIKE(a, b, c)") self.validate_identity("CREATE TABLE foo (bar FLOAT AUTOINCREMENT START 0 INCREMENT 1)") self.validate_identity("COMMENT IF EXISTS ON TABLE foo IS 'bar'") self.validate_identity("SELECT CONVERT_TIMEZONE('UTC', 'America/Los_Angeles', col)") self.validate_identity("ALTER TABLE a SWAP WITH b") self.validate_identity("SELECT MATCH_CONDITION") self.validate_identity("SELECT * REPLACE (CAST(col AS TEXT) AS scol) FROM t") self.validate_identity( "MERGE INTO my_db AS ids USING (SELECT new_id FROM my_model WHERE NOT col IS NULL) AS new_ids ON ids.type = new_ids.type AND ids.source = new_ids.source WHEN NOT MATCHED THEN INSERT VALUES (new_ids.new_id)" ) self.validate_identity( "INSERT OVERWRITE TABLE t SELECT 1", "INSERT OVERWRITE INTO t SELECT 1" ) self.validate_identity( 'DESCRIBE TABLE "SNOWFLAKE_SAMPLE_DATA"."TPCDS_SF100TCL"."WEB_SITE" type=stage' ) self.validate_identity( "SELECT * FROM DATA AS DATA_L ASOF JOIN DATA AS DATA_R MATCH_CONDITION (DATA_L.VAL > DATA_R.VAL) ON DATA_L.ID = DATA_R.ID" ) self.validate_identity( "CURRENT_TIMESTAMP - INTERVAL '1 w' AND (1 = 1)", "CURRENT_TIMESTAMP() - INTERVAL '1 WEEK' AND (1 = 1)", ) self.validate_identity( "REGEXP_REPLACE('target', 'pattern', '\n')", "REGEXP_REPLACE('target', 'pattern', '\\n')", ) self.validate_identity( "SELECT a:from::STRING, a:from || ' test' ", "SELECT CAST(GET_PATH(a, 'from') AS TEXT), GET_PATH(a, 'from') || ' test'", ) self.validate_identity("x:from", "GET_PATH(x, 'from')") self.validate_identity( "value:values::string::int", "CAST(CAST(GET_PATH(value, 'values') AS TEXT) AS INT)", ) self.validate_identity( """SELECT GET_PATH(PARSE_JSON('{"y": [{"z": 1}]}'), 'y[0]:z')""", """SELECT GET_PATH(PARSE_JSON('{"y": [{"z": 1}]}'), 'y[0].z')""", ) self.validate_identity( "SELECT p FROM t WHERE p:val NOT IN ('2')", "SELECT p FROM t WHERE NOT GET_PATH(p, 'val') IN ('2')", ) self.validate_identity( """SELECT PARSE_JSON('{"x": "hello"}'):x LIKE 'hello'""", """SELECT GET_PATH(PARSE_JSON('{"x": "hello"}'), 'x') LIKE 'hello'""", ) self.validate_identity( """SELECT data:x LIKE 'hello' FROM some_table""", """SELECT GET_PATH(data, 'x') LIKE 'hello' FROM some_table""", ) self.validate_identity( "SELECT SUM({ fn CONVERT(123, SQL_DOUBLE) })", "SELECT SUM(CAST(123 AS DOUBLE))", ) self.validate_identity( "SELECT SUM({ fn CONVERT(123, SQL_VARCHAR) })", "SELECT SUM(CAST(123 AS VARCHAR))", ) self.validate_identity( "SELECT TIMESTAMPFROMPARTS(d, t)", "SELECT TIMESTAMP_FROM_PARTS(d, t)", ) self.validate_identity( "SELECT v:attr[0].name FROM vartab", "SELECT GET_PATH(v, 'attr[0].name') FROM vartab", ) self.validate_identity( 'SELECT v:"fruit" FROM vartab', """SELECT GET_PATH(v, 'fruit') FROM vartab""", ) self.validate_identity( "v:attr[0]:name", "GET_PATH(v, 'attr[0].name')", ) self.validate_identity( "a.x:from.b:c.d::int", "CAST(GET_PATH(a.x, 'from.b.c.d') AS INT)", ) self.validate_identity( """SELECT PARSE_JSON('{"food":{"fruit":"banana"}}'):food.fruit::VARCHAR""", """SELECT CAST(GET_PATH(PARSE_JSON('{"food":{"fruit":"banana"}}'), 'food.fruit') AS VARCHAR)""", ) self.validate_identity( "SELECT * FROM foo at", "SELECT * FROM foo AS at", ) self.validate_identity( "SELECT * FROM foo before", "SELECT * FROM foo AS before", ) self.validate_identity( "SELECT * FROM foo at (col)", "SELECT * FROM foo AS at(col)", ) self.validate_identity( "SELECT * FROM unnest(x) with ordinality", "SELECT * FROM TABLE(FLATTEN(INPUT => x)) AS _u(seq, key, path, index, value, this)", ) self.validate_identity( "CREATE TABLE foo (ID INT COMMENT $$some comment$$)", "CREATE TABLE foo (ID INT COMMENT 'some comment')", ) self.validate_identity( "SELECT state, city, SUM(retail_price * quantity) AS gross_revenue FROM sales GROUP BY ALL" ) self.validate_identity( "SELECT * FROM foo window", "SELECT * FROM foo AS window", ) self.validate_identity( r"SELECT RLIKE(a, $$regular expression with \ characters: \d{2}-\d{3}-\d{4}$$, 'i') FROM log_source", r"SELECT REGEXP_LIKE(a, 'regular expression with \\ characters: \\d{2}-\\d{3}-\\d{4}', 'i') FROM log_source", ) self.validate_identity( r"SELECT $$a ' \ \t \x21 z $ $$", r"SELECT 'a \' \\ \\t \\x21 z $ '", ) self.validate_identity( "SELECT {'test': 'best'}::VARIANT", "SELECT CAST(OBJECT_CONSTRUCT('test', 'best') AS VARIANT)", ) self.validate_identity( "SELECT {fn DAYNAME('2022-5-13')}", "SELECT DAYNAME('2022-5-13')", ) self.validate_identity( "SELECT {fn LOG(5)}", "SELECT LN(5)", ) self.validate_identity( "SELECT {fn CEILING(5.3)}", "SELECT CEIL(5.3)", ) self.validate_identity( "CAST(x AS BYTEINT)", "CAST(x AS INT)", ) self.validate_identity( "CAST(x AS CHAR VARYING)", "CAST(x AS VARCHAR)", ) self.validate_identity( "CAST(x AS CHARACTER VARYING)", "CAST(x AS VARCHAR)", ) self.validate_identity( "CAST(x AS NCHAR VARYING)", "CAST(x AS VARCHAR)", ) self.validate_identity( "CREATE OR REPLACE TEMPORARY TABLE x (y NUMBER IDENTITY(0, 1))", "CREATE OR REPLACE TEMPORARY TABLE x (y DECIMAL(38, 0) AUTOINCREMENT START 0 INCREMENT 1)", ) self.validate_identity( "CREATE TEMPORARY TABLE x (y NUMBER AUTOINCREMENT(0, 1))", "CREATE TEMPORARY TABLE x (y DECIMAL(38, 0) AUTOINCREMENT START 0 INCREMENT 1)", ) self.validate_identity( "CREATE TABLE x (y NUMBER IDENTITY START 0 INCREMENT 1)", "CREATE TABLE x (y DECIMAL(38, 0) AUTOINCREMENT START 0 INCREMENT 1)", ) self.validate_identity( "ALTER TABLE foo ADD COLUMN id INT identity(1, 1)", "ALTER TABLE foo ADD COLUMN id INT AUTOINCREMENT START 1 INCREMENT 1", ) self.validate_identity( "SELECT DAYOFWEEK('2016-01-02T23:39:20.123-07:00'::TIMESTAMP)", "SELECT DAYOFWEEK(CAST('2016-01-02T23:39:20.123-07:00' AS TIMESTAMP))", ) self.validate_identity( "SELECT * FROM xxx WHERE col ilike '%Don''t%'", "SELECT * FROM xxx WHERE col ILIKE '%Don\\'t%'", ) self.validate_identity( "SELECT * EXCLUDE a, b FROM xxx", "SELECT * EXCLUDE (a), b FROM xxx", ) self.validate_identity( "SELECT * RENAME a AS b, c AS d FROM xxx", "SELECT * RENAME (a AS b), c AS d FROM xxx", ) self.validate_all( "OBJECT_CONSTRUCT_KEEP_NULL('key_1', 'one', 'key_2', NULL)", read={ "bigquery": "JSON_OBJECT(['key_1', 'key_2'], ['one', NULL])", "duckdb": "JSON_OBJECT('key_1', 'one', 'key_2', NULL)", }, write={ "bigquery": "JSON_OBJECT('key_1', 'one', 'key_2', NULL)", "duckdb": "JSON_OBJECT('key_1', 'one', 'key_2', NULL)", "snowflake": "OBJECT_CONSTRUCT_KEEP_NULL('key_1', 'one', 'key_2', NULL)", }, ) self.validate_all( "SELECT TIME_FROM_PARTS(12, 34, 56, 987654321)", write={ "duckdb": "SELECT MAKE_TIME(12, 34, 56 + (987654321 / 1000000000.0))", "snowflake": "SELECT TIME_FROM_PARTS(12, 34, 56, 987654321)", }, ) self.validate_all( "SELECT TIMESTAMP_FROM_PARTS(2013, 4, 5, 12, 00, 00)", read={ "duckdb": "SELECT MAKE_TIMESTAMP(2013, 4, 5, 12, 00, 00)", }, write={ "duckdb": "SELECT MAKE_TIMESTAMP(2013, 4, 5, 12, 00, 00)", "snowflake": "SELECT TIMESTAMP_FROM_PARTS(2013, 4, 5, 12, 00, 00)", }, ) self.validate_all( """WITH vartab(v) AS (select parse_json('[{"attr": [{"name": "banana"}]}]')) SELECT GET_PATH(v, '[0].attr[0].name') FROM vartab""", write={ "bigquery": """WITH vartab AS (SELECT PARSE_JSON('[{"attr": [{"name": "banana"}]}]') AS v) SELECT JSON_EXTRACT(v, '$[0].attr[0].name') FROM vartab""", "duckdb": """WITH vartab(v) AS (SELECT JSON('[{"attr": [{"name": "banana"}]}]')) SELECT v -> '$[0].attr[0].name' FROM vartab""", "mysql": """WITH vartab(v) AS (SELECT '[{"attr": [{"name": "banana"}]}]') SELECT JSON_EXTRACT(v, '$[0].attr[0].name') FROM vartab""", "presto": """WITH vartab(v) AS (SELECT JSON_PARSE('[{"attr": [{"name": "banana"}]}]')) SELECT JSON_EXTRACT(v, '$[0].attr[0].name') FROM vartab""", "snowflake": """WITH vartab(v) AS (SELECT PARSE_JSON('[{"attr": [{"name": "banana"}]}]')) SELECT GET_PATH(v, '[0].attr[0].name') FROM vartab""", "tsql": """WITH vartab(v) AS (SELECT '[{"attr": [{"name": "banana"}]}]') SELECT ISNULL(JSON_QUERY(v, '$[0].attr[0].name'), JSON_VALUE(v, '$[0].attr[0].name')) FROM vartab""", }, ) self.validate_all( """WITH vartab(v) AS (select parse_json('{"attr": [{"name": "banana"}]}')) SELECT GET_PATH(v, 'attr[0].name') FROM vartab""", write={ "bigquery": """WITH vartab AS (SELECT PARSE_JSON('{"attr": [{"name": "banana"}]}') AS v) SELECT JSON_EXTRACT(v, '$.attr[0].name') FROM vartab""", "duckdb": """WITH vartab(v) AS (SELECT JSON('{"attr": [{"name": "banana"}]}')) SELECT v -> '$.attr[0].name' FROM vartab""", "mysql": """WITH vartab(v) AS (SELECT '{"attr": [{"name": "banana"}]}') SELECT JSON_EXTRACT(v, '$.attr[0].name') FROM vartab""", "presto": """WITH vartab(v) AS (SELECT JSON_PARSE('{"attr": [{"name": "banana"}]}')) SELECT JSON_EXTRACT(v, '$.attr[0].name') FROM vartab""", "snowflake": """WITH vartab(v) AS (SELECT PARSE_JSON('{"attr": [{"name": "banana"}]}')) SELECT GET_PATH(v, 'attr[0].name') FROM vartab""", "tsql": """WITH vartab(v) AS (SELECT '{"attr": [{"name": "banana"}]}') SELECT ISNULL(JSON_QUERY(v, '$.attr[0].name'), JSON_VALUE(v, '$.attr[0].name')) FROM vartab""", }, ) self.validate_all( """SELECT PARSE_JSON('{"fruit":"banana"}'):fruit""", write={ "bigquery": """SELECT JSON_EXTRACT(PARSE_JSON('{"fruit":"banana"}'), '$.fruit')""", "databricks": """SELECT GET_JSON_OBJECT('{"fruit":"banana"}', '$.fruit')""", "duckdb": """SELECT JSON('{"fruit":"banana"}') -> '$.fruit'""", "mysql": """SELECT JSON_EXTRACT('{"fruit":"banana"}', '$.fruit')""", "presto": """SELECT JSON_EXTRACT(JSON_PARSE('{"fruit":"banana"}'), '$.fruit')""", "snowflake": """SELECT GET_PATH(PARSE_JSON('{"fruit":"banana"}'), 'fruit')""", "spark": """SELECT GET_JSON_OBJECT('{"fruit":"banana"}', '$.fruit')""", "tsql": """SELECT ISNULL(JSON_QUERY('{"fruit":"banana"}', '$.fruit'), JSON_VALUE('{"fruit":"banana"}', '$.fruit'))""", }, ) self.validate_all( "SELECT TO_ARRAY(['test'])", write={ "snowflake": "SELECT TO_ARRAY(['test'])", "spark": "SELECT ARRAY('test')", }, ) self.validate_all( "SELECT TO_ARRAY(['test'])", write={ "snowflake": "SELECT TO_ARRAY(['test'])", "spark": "SELECT ARRAY('test')", }, ) self.validate_all( # We need to qualify the columns in this query because "value" would be ambiguous 'WITH t(x, "value") AS (SELECT [1, 2, 3], 1) SELECT IFF(_u.pos = _u_2.pos_2, _u_2."value", NULL) AS "value" FROM t CROSS JOIN TABLE(FLATTEN(INPUT => ARRAY_GENERATE_RANGE(0, (GREATEST(ARRAY_SIZE(t.x)) - 1) + 1))) AS _u(seq, key, path, index, pos, this) CROSS JOIN TABLE(FLATTEN(INPUT => t.x)) AS _u_2(seq, key, path, pos_2, "value", this) WHERE _u.pos = _u_2.pos_2 OR (_u.pos > (ARRAY_SIZE(t.x) - 1) AND _u_2.pos_2 = (ARRAY_SIZE(t.x) - 1))', read={ "duckdb": 'WITH t(x, "value") AS (SELECT [1,2,3], 1) SELECT UNNEST(t.x) AS "value" FROM t', }, ) self.validate_all( "SELECT { 'Manitoba': 'Winnipeg', 'foo': 'bar' } AS province_capital", write={ "duckdb": "SELECT {'Manitoba': 'Winnipeg', 'foo': 'bar'} AS province_capital", "snowflake": "SELECT OBJECT_CONSTRUCT('Manitoba', 'Winnipeg', 'foo', 'bar') AS province_capital", "spark": "SELECT STRUCT('Winnipeg' AS Manitoba, 'bar' AS foo) AS province_capital", }, ) self.validate_all( "SELECT COLLATE('B', 'und:ci')", write={ "bigquery": "SELECT COLLATE('B', 'und:ci')", "snowflake": "SELECT COLLATE('B', 'und:ci')", }, ) self.validate_all( "SELECT * FROM x START WITH a = b CONNECT BY c = PRIOR d", read={ "oracle": "SELECT * FROM x START WITH a = b CONNECT BY c = PRIOR d", }, write={ "oracle": "SELECT * FROM x START WITH a = b CONNECT BY c = PRIOR d", "snowflake": "SELECT * FROM x START WITH a = b CONNECT BY c = PRIOR d", }, ) self.validate_all( "SELECT INSERT(a, 0, 0, 'b')", read={ "mysql": "SELECT INSERT(a, 0, 0, 'b')", "snowflake": "SELECT INSERT(a, 0, 0, 'b')", "tsql": "SELECT STUFF(a, 0, 0, 'b')", }, write={ "mysql": "SELECT INSERT(a, 0, 0, 'b')", "snowflake": "SELECT INSERT(a, 0, 0, 'b')", "tsql": "SELECT STUFF(a, 0, 0, 'b')", }, ) self.validate_all( "ARRAY_GENERATE_RANGE(0, 3)", write={ "bigquery": "GENERATE_ARRAY(0, 3 - 1)", "postgres": "GENERATE_SERIES(0, 3 - 1)", "presto": "SEQUENCE(0, 3 - 1)", "snowflake": "ARRAY_GENERATE_RANGE(0, (3 - 1) + 1)", }, ) self.validate_all( "ARRAY_GENERATE_RANGE(0, 3 + 1)", read={ "bigquery": "GENERATE_ARRAY(0, 3)", "postgres": "GENERATE_SERIES(0, 3)", "presto": "SEQUENCE(0, 3)", }, ) self.validate_all( "SELECT DATE_PART('year', TIMESTAMP '2020-01-01')", write={ "hive": "SELECT EXTRACT(year FROM CAST('2020-01-01' AS TIMESTAMP))", "snowflake": "SELECT DATE_PART('year', CAST('2020-01-01' AS TIMESTAMP))", "spark": "SELECT EXTRACT(year FROM CAST('2020-01-01' AS TIMESTAMP))", }, ) self.validate_all( "SELECT * FROM (VALUES (0) foo(bar))", write={"snowflake": "SELECT * FROM (VALUES (0)) AS foo(bar)"}, ) self.validate_all( "OBJECT_CONSTRUCT('a', b, 'c', d)", read={ "": "STRUCT(b as a, d as c)", }, write={ "duckdb": "{'a': b, 'c': d}", "snowflake": "OBJECT_CONSTRUCT('a', b, 'c', d)", "": "STRUCT(b AS a, d AS c)", }, ) self.validate_identity("OBJECT_CONSTRUCT(a, b, c, d)") self.validate_all( "SELECT i, p, o FROM qt QUALIFY ROW_NUMBER() OVER (PARTITION BY p ORDER BY o) = 1", write={ "": "SELECT i, p, o FROM qt QUALIFY ROW_NUMBER() OVER (PARTITION BY p ORDER BY o NULLS LAST) = 1", "databricks": "SELECT i, p, o FROM qt QUALIFY ROW_NUMBER() OVER (PARTITION BY p ORDER BY o NULLS LAST) = 1", "hive": "SELECT i, p, o FROM (SELECT i, p, o, ROW_NUMBER() OVER (PARTITION BY p ORDER BY o NULLS LAST) AS _w FROM qt) AS _t WHERE _w = 1", "presto": "SELECT i, p, o FROM (SELECT i, p, o, ROW_NUMBER() OVER (PARTITION BY p ORDER BY o) AS _w FROM qt) AS _t WHERE _w = 1", "snowflake": "SELECT i, p, o FROM qt QUALIFY ROW_NUMBER() OVER (PARTITION BY p ORDER BY o) = 1", "spark": "SELECT i, p, o FROM (SELECT i, p, o, ROW_NUMBER() OVER (PARTITION BY p ORDER BY o NULLS LAST) AS _w FROM qt) AS _t WHERE _w = 1", "sqlite": "SELECT i, p, o FROM (SELECT i, p, o, ROW_NUMBER() OVER (PARTITION BY p ORDER BY o NULLS LAST) AS _w FROM qt) AS _t WHERE _w = 1", "trino": "SELECT i, p, o FROM (SELECT i, p, o, ROW_NUMBER() OVER (PARTITION BY p ORDER BY o) AS _w FROM qt) AS _t WHERE _w = 1", }, ) self.validate_all( "SELECT BOOLOR_AGG(c1), BOOLOR_AGG(c2) FROM test", write={ "": "SELECT LOGICAL_OR(c1), LOGICAL_OR(c2) FROM test", "duckdb": "SELECT BOOL_OR(c1), BOOL_OR(c2) FROM test", "postgres": "SELECT BOOL_OR(c1), BOOL_OR(c2) FROM test", "snowflake": "SELECT BOOLOR_AGG(c1), BOOLOR_AGG(c2) FROM test", "spark": "SELECT BOOL_OR(c1), BOOL_OR(c2) FROM test", "sqlite": "SELECT MAX(c1), MAX(c2) FROM test", }, ) self.validate_all( "SELECT BOOLAND_AGG(c1), BOOLAND_AGG(c2) FROM test", write={ "": "SELECT LOGICAL_AND(c1), LOGICAL_AND(c2) FROM test", "duckdb": "SELECT BOOL_AND(c1), BOOL_AND(c2) FROM test", "postgres": "SELECT BOOL_AND(c1), BOOL_AND(c2) FROM test", "snowflake": "SELECT BOOLAND_AGG(c1), BOOLAND_AGG(c2) FROM test", "spark": "SELECT BOOL_AND(c1), BOOL_AND(c2) FROM test", "sqlite": "SELECT MIN(c1), MIN(c2) FROM test", }, ) for suffix in ( "", " OVER ()", ): self.validate_all( f"SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY x){suffix}", read={ "snowflake": f"SELECT MEDIAN(x){suffix}", "postgres": f"SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY x){suffix}", }, write={ "": f"SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY x NULLS LAST){suffix}", "duckdb": f"SELECT QUANTILE_CONT(x, 0.5 ORDER BY x){suffix}", "postgres": f"SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY x){suffix}", "snowflake": f"SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY x){suffix}", }, ) self.validate_all( f"SELECT MEDIAN(x){suffix}", write={ "": f"SELECT PERCENTILE_CONT(x, 0.5){suffix}", "duckdb": f"SELECT QUANTILE_CONT(x, 0.5){suffix}", "postgres": f"SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY x){suffix}", "snowflake": f"SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY x){suffix}", }, ) for func in ( "CORR", "COVAR_POP", "COVAR_SAMP", ): self.validate_all( f"SELECT {func}(y, x){suffix}", write={ "": f"SELECT {func}(y, x){suffix}", "duckdb": f"SELECT {func}(y, x){suffix}", "postgres": f"SELECT {func}(y, x){suffix}", "snowflake": f"SELECT {func}(y, x){suffix}", }, ) self.validate_all( "TO_CHAR(x, y)", read={ "": "TO_CHAR(x, y)", "snowflake": "TO_VARCHAR(x, y)", }, write={ "": "CAST(x AS TEXT)", "databricks": "TO_CHAR(x, y)", "drill": "TO_CHAR(x, y)", "oracle": "TO_CHAR(x, y)", "postgres": "TO_CHAR(x, y)", "snowflake": "TO_CHAR(x, y)", "teradata": "TO_CHAR(x, y)", }, ) self.validate_all( "SQUARE(x)", write={ "bigquery": "POWER(x, 2)", "clickhouse": "POWER(x, 2)", "databricks": "POWER(x, 2)", "drill": "POW(x, 2)", "duckdb": "POWER(x, 2)", "hive": "POWER(x, 2)", "mysql": "POWER(x, 2)", "oracle": "POWER(x, 2)", "postgres": "x ^ 2", "presto": "POWER(x, 2)", "redshift": "POWER(x, 2)", "snowflake": "POWER(x, 2)", "spark": "POWER(x, 2)", "sqlite": "POWER(x, 2)", "starrocks": "POWER(x, 2)", "teradata": "x ** 2", "trino": "POWER(x, 2)", "tsql": "POWER(x, 2)", }, ) self.validate_all( "POWER(x, 2)", read={ "oracle": "SQUARE(x)", "snowflake": "SQUARE(x)", "tsql": "SQUARE(x)", }, ) self.validate_all( "DIV0(foo, bar)", write={ "snowflake": "IFF(bar = 0, 0, foo / bar)", "sqlite": "IIF(bar = 0, 0, CAST(foo AS REAL) / bar)", "presto": "IF(bar = 0, 0, CAST(foo AS DOUBLE) / bar)", "spark": "IF(bar = 0, 0, foo / bar)", "hive": "IF(bar = 0, 0, foo / bar)", "duckdb": "CASE WHEN bar = 0 THEN 0 ELSE foo / bar END", }, ) self.validate_all( "ZEROIFNULL(foo)", write={ "snowflake": "IFF(foo IS NULL, 0, foo)", "sqlite": "IIF(foo IS NULL, 0, foo)", "presto": "IF(foo IS NULL, 0, foo)", "spark": "IF(foo IS NULL, 0, foo)", "hive": "IF(foo IS NULL, 0, foo)", "duckdb": "CASE WHEN foo IS NULL THEN 0 ELSE foo END", }, ) self.validate_all( "NULLIFZERO(foo)", write={ "snowflake": "IFF(foo = 0, NULL, foo)", "sqlite": "IIF(foo = 0, NULL, foo)", "presto": "IF(foo = 0, NULL, foo)", "spark": "IF(foo = 0, NULL, foo)", "hive": "IF(foo = 0, NULL, foo)", "duckdb": "CASE WHEN foo = 0 THEN NULL ELSE foo END", }, ) self.validate_all( "SELECT * EXCLUDE (a, b) REPLACE (c AS d, E AS F) FROM xxx", read={ "duckdb": "SELECT * EXCLUDE (a, b) REPLACE (c AS d, E AS F) FROM xxx", }, write={ "snowflake": "SELECT * EXCLUDE (a, b) REPLACE (c AS d, E AS F) FROM xxx", "duckdb": "SELECT * EXCLUDE (a, b) REPLACE (c AS d, E AS F) FROM xxx", }, ) self.validate_all( '''SELECT PARSE_JSON('{"a": {"b c": "foo"}}'):a:"b c"''', write={ "duckdb": """SELECT JSON('{"a": {"b c": "foo"}}') -> '$.a."b c"'""", "mysql": """SELECT JSON_EXTRACT('{"a": {"b c": "foo"}}', '$.a."b c"')""", "snowflake": """SELECT GET_PATH(PARSE_JSON('{"a": {"b c": "foo"}}'), 'a["b c"]')""", }, ) self.validate_all( "SELECT a FROM test WHERE a = 1 GROUP BY a HAVING a = 2 QUALIFY z ORDER BY a LIMIT 10", write={ "bigquery": "SELECT a FROM test WHERE a = 1 GROUP BY a HAVING a = 2 QUALIFY z ORDER BY a NULLS LAST LIMIT 10", "snowflake": "SELECT a FROM test WHERE a = 1 GROUP BY a HAVING a = 2 QUALIFY z ORDER BY a LIMIT 10", }, ) self.validate_all( "SELECT a FROM test AS t QUALIFY ROW_NUMBER() OVER (PARTITION BY a ORDER BY Z) = 1", write={ "bigquery": "SELECT a FROM test AS t QUALIFY ROW_NUMBER() OVER (PARTITION BY a ORDER BY Z NULLS LAST) = 1", "snowflake": "SELECT a FROM test AS t QUALIFY ROW_NUMBER() OVER (PARTITION BY a ORDER BY Z) = 1", }, ) self.validate_all( "SELECT TO_TIMESTAMP(1659981729)", write={ "bigquery": "SELECT TIMESTAMP_SECONDS(1659981729)", "snowflake": "SELECT TO_TIMESTAMP(1659981729)", "spark": "SELECT CAST(FROM_UNIXTIME(1659981729) AS TIMESTAMP)", }, ) self.validate_all( "SELECT TO_TIMESTAMP(1659981729000, 3)", write={ "bigquery": "SELECT TIMESTAMP_MILLIS(1659981729000)", "snowflake": "SELECT TO_TIMESTAMP(1659981729000, 3)", "spark": "SELECT TIMESTAMP_MILLIS(1659981729000)", }, ) self.validate_all( "SELECT TO_TIMESTAMP(16599817290000, 4)", write={ "bigquery": "SELECT TIMESTAMP_SECONDS(CAST(16599817290000 / POWER(10, 4) AS INT64))", "snowflake": "SELECT TO_TIMESTAMP(16599817290000, 4)", "spark": "SELECT TIMESTAMP_SECONDS(16599817290000 / POWER(10, 4))", }, ) self.validate_all( "SELECT TO_TIMESTAMP('1659981729')", write={ "snowflake": "SELECT TO_TIMESTAMP('1659981729')", "spark": "SELECT CAST(FROM_UNIXTIME('1659981729') AS TIMESTAMP)", }, ) self.validate_all( "SELECT TO_TIMESTAMP(1659981729000000000, 9)", write={ "bigquery": "SELECT TIMESTAMP_SECONDS(CAST(1659981729000000000 / POWER(10, 9) AS INT64))", "duckdb": "SELECT TO_TIMESTAMP(1659981729000000000 / POWER(10, 9))", "presto": "SELECT FROM_UNIXTIME(CAST(1659981729000000000 AS DOUBLE) / POW(10, 9))", "snowflake": "SELECT TO_TIMESTAMP(1659981729000000000, 9)", "spark": "SELECT TIMESTAMP_SECONDS(1659981729000000000 / POWER(10, 9))", }, ) self.validate_all( "SELECT TO_TIMESTAMP('2013-04-05 01:02:03')", write={ "bigquery": "SELECT CAST('2013-04-05 01:02:03' AS DATETIME)", "snowflake": "SELECT CAST('2013-04-05 01:02:03' AS TIMESTAMP)", "spark": "SELECT CAST('2013-04-05 01:02:03' AS TIMESTAMP)", }, ) self.validate_all( "SELECT TO_TIME('12:05:00')", write={ "bigquery": "SELECT CAST('12:05:00' AS TIME)", "snowflake": "SELECT CAST('12:05:00' AS TIME)", }, ) self.validate_all( "SELECT TO_TIMESTAMP('04/05/2013 01:02:03', 'mm/DD/yyyy hh24:mi:ss')", read={ "bigquery": "SELECT PARSE_TIMESTAMP('%m/%d/%Y %H:%M:%S', '04/05/2013 01:02:03')", "duckdb": "SELECT STRPTIME('04/05/2013 01:02:03', '%m/%d/%Y %H:%M:%S')", }, write={ "bigquery": "SELECT PARSE_TIMESTAMP('%m/%d/%Y %H:%M:%S', '04/05/2013 01:02:03')", "snowflake": "SELECT TO_TIMESTAMP('04/05/2013 01:02:03', 'mm/DD/yyyy hh24:mi:ss')", "spark": "SELECT TO_TIMESTAMP('04/05/2013 01:02:03', 'MM/dd/yyyy HH:mm:ss')", }, ) self.validate_all( "SELECT IFF(TRUE, 'true', 'false')", write={ "snowflake": "SELECT IFF(TRUE, 'true', 'false')", "spark": "SELECT IF(TRUE, 'true', 'false')", }, ) self.validate_all( "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname ASC NULLS LAST, lname", write={ "duckdb": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname ASC, lname", "postgres": "SELECT fname, lname, age FROM person ORDER BY age DESC, fname ASC, lname", "presto": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname ASC, lname", "hive": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname ASC NULLS LAST, lname NULLS LAST", "spark": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname ASC NULLS LAST, lname NULLS LAST", "snowflake": "SELECT fname, lname, age FROM person ORDER BY age DESC, fname ASC, lname", }, ) self.validate_all( "SELECT ARRAY_AGG(DISTINCT a)", write={ "spark": "SELECT COLLECT_LIST(DISTINCT a)", "snowflake": "SELECT ARRAY_AGG(DISTINCT a)", }, ) self.validate_all( "ARRAY_TO_STRING(x, '')", read={ "duckdb": "ARRAY_TO_STRING(x, '')", }, write={ "spark": "ARRAY_JOIN(x, '')", "snowflake": "ARRAY_TO_STRING(x, '')", "duckdb": "ARRAY_TO_STRING(x, '')", }, ) self.validate_all( "TO_ARRAY(x)", write={ "spark": "IF(x IS NULL, NULL, ARRAY(x))", "snowflake": "TO_ARRAY(x)", }, ) self.validate_all( "SELECT * FROM a INTERSECT ALL SELECT * FROM b", write={ "snowflake": UnsupportedError, }, ) self.validate_all( "SELECT * FROM a EXCEPT ALL SELECT * FROM b", write={ "snowflake": UnsupportedError, }, ) self.validate_all( "SELECT ARRAY_UNION_AGG(a)", write={ "snowflake": "SELECT ARRAY_UNION_AGG(a)", }, ) self.validate_all( "SELECT $$a$$", write={ "snowflake": "SELECT 'a'", }, ) self.validate_all( "SELECT RLIKE(a, b)", write={ "hive": "SELECT a RLIKE b", "snowflake": "SELECT REGEXP_LIKE(a, b)", "spark": "SELECT a RLIKE b", }, ) self.validate_all( "SELECT a FROM test pivot", write={ "snowflake": "SELECT a FROM test AS pivot", }, ) self.validate_all( "SELECT a FROM test unpivot", write={ "snowflake": "SELECT a FROM test AS unpivot", }, ) self.validate_all( "trim(date_column, 'UTC')", write={ "bigquery": "TRIM(date_column, 'UTC')", "snowflake": "TRIM(date_column, 'UTC')", "postgres": "TRIM('UTC' FROM date_column)", }, ) self.validate_all( "trim(date_column)", write={ "snowflake": "TRIM(date_column)", "bigquery": "TRIM(date_column)", }, ) self.validate_all( "DECODE(x, a, b, c, d, e)", write={ "": "CASE WHEN x = a OR (x IS NULL AND a IS NULL) THEN b WHEN x = c OR (x IS NULL AND c IS NULL) THEN d ELSE e END", "snowflake": "CASE WHEN x = a OR (x IS NULL AND a IS NULL) THEN b WHEN x = c OR (x IS NULL AND c IS NULL) THEN d ELSE e END", }, ) self.validate_all( "SELECT LISTAGG(col1, ', ') WITHIN GROUP (ORDER BY col2) FROM t", write={ "duckdb": "SELECT GROUP_CONCAT(col1, ', ' ORDER BY col2) FROM t", "snowflake": "SELECT LISTAGG(col1, ', ') WITHIN GROUP (ORDER BY col2) FROM t", }, ) self.validate_all( "SELECT APPROX_PERCENTILE(a, 0.5) FROM t", read={ "trino": "SELECT APPROX_PERCENTILE(a, 1, 0.5, 0.001) FROM t", "presto": "SELECT APPROX_PERCENTILE(a, 1, 0.5, 0.001) FROM t", }, write={ "trino": "SELECT APPROX_PERCENTILE(a, 0.5) FROM t", "presto": "SELECT APPROX_PERCENTILE(a, 0.5) FROM t", "snowflake": "SELECT APPROX_PERCENTILE(a, 0.5) FROM t", }, ) def test_null_treatment(self): self.validate_all( r"SELECT FIRST_VALUE(TABLE1.COLUMN1) OVER (PARTITION BY RANDOM_COLUMN1, RANDOM_COLUMN2 ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS MY_ALIAS FROM TABLE1", write={ "snowflake": r"SELECT FIRST_VALUE(TABLE1.COLUMN1) OVER (PARTITION BY RANDOM_COLUMN1, RANDOM_COLUMN2 ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS MY_ALIAS FROM TABLE1" }, ) self.validate_all( r"SELECT FIRST_VALUE(TABLE1.COLUMN1 RESPECT NULLS) OVER (PARTITION BY RANDOM_COLUMN1, RANDOM_COLUMN2 ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS MY_ALIAS FROM TABLE1", write={ "snowflake": r"SELECT FIRST_VALUE(TABLE1.COLUMN1) RESPECT NULLS OVER (PARTITION BY RANDOM_COLUMN1, RANDOM_COLUMN2 ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS MY_ALIAS FROM TABLE1" }, ) self.validate_all( r"SELECT FIRST_VALUE(TABLE1.COLUMN1) RESPECT NULLS OVER (PARTITION BY RANDOM_COLUMN1, RANDOM_COLUMN2 ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS MY_ALIAS FROM TABLE1", write={ "snowflake": r"SELECT FIRST_VALUE(TABLE1.COLUMN1) RESPECT NULLS OVER (PARTITION BY RANDOM_COLUMN1, RANDOM_COLUMN2 ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS MY_ALIAS FROM TABLE1" }, ) self.validate_all( r"SELECT FIRST_VALUE(TABLE1.COLUMN1 IGNORE NULLS) OVER (PARTITION BY RANDOM_COLUMN1, RANDOM_COLUMN2 ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS MY_ALIAS FROM TABLE1", write={ "snowflake": r"SELECT FIRST_VALUE(TABLE1.COLUMN1) IGNORE NULLS OVER (PARTITION BY RANDOM_COLUMN1, RANDOM_COLUMN2 ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS MY_ALIAS FROM TABLE1" }, ) self.validate_all( r"SELECT FIRST_VALUE(TABLE1.COLUMN1) IGNORE NULLS OVER (PARTITION BY RANDOM_COLUMN1, RANDOM_COLUMN2 ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS MY_ALIAS FROM TABLE1", write={ "snowflake": r"SELECT FIRST_VALUE(TABLE1.COLUMN1) IGNORE NULLS OVER (PARTITION BY RANDOM_COLUMN1, RANDOM_COLUMN2 ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS MY_ALIAS FROM TABLE1" }, ) def test_staged_files(self): # Ensure we don't treat staged file paths as identifiers (i.e. they're not normalized) staged_file = parse_one("SELECT * FROM @foo", read="snowflake") self.assertEqual( normalize_identifiers(staged_file, dialect="snowflake").sql(dialect="snowflake"), staged_file.sql(dialect="snowflake"), ) self.validate_identity("SELECT metadata$filename FROM @s1/") self.validate_identity("SELECT * FROM @~") self.validate_identity("SELECT * FROM @~/some/path/to/file.csv") self.validate_identity("SELECT * FROM @mystage") self.validate_identity("SELECT * FROM '@mystage'") self.validate_identity("SELECT * FROM @namespace.mystage/path/to/file.json.gz") self.validate_identity("SELECT * FROM @namespace.%table_name/path/to/file.json.gz") self.validate_identity("SELECT * FROM '@external/location' (FILE_FORMAT => 'path.to.csv')") self.validate_identity("PUT file:///dir/tmp.csv @%table", check_command_warning=True) self.validate_identity("SELECT * FROM (SELECT a FROM @foo)") self.validate_identity( "SELECT * FROM (SELECT * FROM '@external/location' (FILE_FORMAT => 'path.to.csv'))" ) self.validate_identity( "SELECT * FROM @foo/bar (FILE_FORMAT => ds_sandbox.test.my_csv_format, PATTERN => 'test') AS bla" ) self.validate_identity( "SELECT t.$1, t.$2 FROM @mystage1 (FILE_FORMAT => 'myformat', PATTERN => '.*data.*[.]csv.gz') AS t" ) self.validate_identity( "SELECT parse_json($1):a.b FROM @mystage2/data1.json.gz", "SELECT GET_PATH(PARSE_JSON($1), 'a.b') FROM @mystage2/data1.json.gz", ) self.validate_identity( "SELECT * FROM @mystage t (c1)", "SELECT * FROM @mystage AS t(c1)", ) self.validate_identity( "SELECT * FROM @foo/bar (PATTERN => 'test', FILE_FORMAT => ds_sandbox.test.my_csv_format) AS bla", "SELECT * FROM @foo/bar (FILE_FORMAT => ds_sandbox.test.my_csv_format, PATTERN => 'test') AS bla", ) def test_sample(self): self.validate_identity("SELECT * FROM testtable TABLESAMPLE BERNOULLI (20.3)") self.validate_identity("SELECT * FROM testtable TABLESAMPLE SYSTEM (3) SEED (82)") self.validate_identity( "SELECT a FROM test PIVOT(SUM(x) FOR y IN ('z', 'q')) AS x TABLESAMPLE BERNOULLI (0.1)" ) self.validate_identity( "SELECT i, j FROM table1 AS t1 INNER JOIN table2 AS t2 TABLESAMPLE BERNOULLI (50) WHERE t2.j = t1.i" ) self.validate_identity( "SELECT * FROM (SELECT * FROM t1 JOIN t2 ON t1.a = t2.c) TABLESAMPLE BERNOULLI (1)" ) self.validate_identity( "SELECT * FROM testtable TABLESAMPLE (10 ROWS)", "SELECT * FROM testtable TABLESAMPLE BERNOULLI (10 ROWS)", ) self.validate_identity( "SELECT * FROM testtable TABLESAMPLE (100)", "SELECT * FROM testtable TABLESAMPLE BERNOULLI (100)", ) self.validate_identity( "SELECT * FROM testtable SAMPLE (10)", "SELECT * FROM testtable TABLESAMPLE BERNOULLI (10)", ) self.validate_identity( "SELECT * FROM testtable SAMPLE ROW (0)", "SELECT * FROM testtable TABLESAMPLE ROW (0)", ) self.validate_identity( "SELECT a FROM test SAMPLE BLOCK (0.5) SEED (42)", "SELECT a FROM test TABLESAMPLE BLOCK (0.5) SEED (42)", ) self.validate_identity( "SELECT user_id, value FROM table_name SAMPLE BERNOULLI ($s) SEED (0)", "SELECT user_id, value FROM table_name TABLESAMPLE BERNOULLI ($s) SEED (0)", ) self.validate_all( "SELECT * FROM example TABLESAMPLE BERNOULLI (3) SEED (82)", read={ "duckdb": "SELECT * FROM example TABLESAMPLE BERNOULLI (3 PERCENT) REPEATABLE (82)", }, write={ "databricks": "SELECT * FROM example TABLESAMPLE (3 PERCENT) REPEATABLE (82)", "duckdb": "SELECT * FROM example TABLESAMPLE BERNOULLI (3 PERCENT) REPEATABLE (82)", "snowflake": "SELECT * FROM example TABLESAMPLE BERNOULLI (3) SEED (82)", }, ) self.validate_all( "SELECT * FROM test AS _tmp TABLESAMPLE (5)", write={ "postgres": "SELECT * FROM test AS _tmp TABLESAMPLE BERNOULLI (5)", "snowflake": "SELECT * FROM test AS _tmp TABLESAMPLE BERNOULLI (5)", }, ) self.validate_all( """ SELECT i, j FROM table1 AS t1 SAMPLE (25) -- 25% of rows in table1 INNER JOIN table2 AS t2 SAMPLE (50) -- 50% of rows in table2 WHERE t2.j = t1.i""", write={ "snowflake": "SELECT i, j FROM table1 AS t1 TABLESAMPLE BERNOULLI (25) /* 25% of rows in table1 */ INNER JOIN table2 AS t2 TABLESAMPLE BERNOULLI (50) /* 50% of rows in table2 */ WHERE t2.j = t1.i", }, ) self.validate_all( "SELECT * FROM testtable SAMPLE BLOCK (0.012) REPEATABLE (99992)", write={ "snowflake": "SELECT * FROM testtable TABLESAMPLE BLOCK (0.012) SEED (99992)", }, ) self.validate_all( "SELECT * FROM (SELECT * FROM t1 join t2 on t1.a = t2.c) SAMPLE (1)", write={ "snowflake": "SELECT * FROM (SELECT * FROM t1 JOIN t2 ON t1.a = t2.c) TABLESAMPLE BERNOULLI (1)", "spark": "SELECT * FROM (SELECT * FROM t1 JOIN t2 ON t1.a = t2.c) TABLESAMPLE (1 PERCENT)", }, ) def test_timestamps(self): self.validate_identity("SELECT CAST('12:00:00' AS TIME)") self.validate_identity("SELECT DATE_PART(month, a)") for data_type in ( "TIMESTAMP", "TIMESTAMPLTZ", "TIMESTAMPNTZ", ): self.validate_identity(f"CAST(a AS {data_type})") self.validate_identity("CAST(a AS TIMESTAMP_NTZ)", "CAST(a AS TIMESTAMPNTZ)") self.validate_identity("CAST(a AS TIMESTAMP_LTZ)", "CAST(a AS TIMESTAMPLTZ)") self.validate_all( "SELECT a::TIMESTAMP_LTZ(9)", write={ "snowflake": "SELECT CAST(a AS TIMESTAMPLTZ(9))", }, ) self.validate_all( "SELECT a::TIMESTAMPLTZ", write={ "snowflake": "SELECT CAST(a AS TIMESTAMPLTZ)", }, ) self.validate_all( "SELECT a::TIMESTAMP WITH LOCAL TIME ZONE", write={ "snowflake": "SELECT CAST(a AS TIMESTAMPLTZ)", }, ) self.validate_all( "SELECT EXTRACT('month', a)", write={ "snowflake": "SELECT DATE_PART('month', a)", }, ) self.validate_all( "SELECT DATE_PART('month', a)", write={ "snowflake": "SELECT DATE_PART('month', a)", }, ) self.validate_all( "SELECT DATE_PART(month, a::DATETIME)", write={ "snowflake": "SELECT DATE_PART(month, CAST(a AS DATETIME))", }, ) self.validate_all( "SELECT DATE_PART(epoch_second, foo) as ddate from table_name", write={ "snowflake": "SELECT EXTRACT(epoch_second FROM CAST(foo AS TIMESTAMP)) AS ddate FROM table_name", "presto": "SELECT TO_UNIXTIME(CAST(foo AS TIMESTAMP)) AS ddate FROM table_name", }, ) self.validate_all( "SELECT DATE_PART(epoch_milliseconds, foo) as ddate from table_name", write={ "snowflake": "SELECT EXTRACT(epoch_second FROM CAST(foo AS TIMESTAMP)) * 1000 AS ddate FROM table_name", "presto": "SELECT TO_UNIXTIME(CAST(foo AS TIMESTAMP)) * 1000 AS ddate FROM table_name", }, ) self.validate_all( "DATEADD(DAY, 5, CAST('2008-12-25' AS DATE))", read={ "snowflake": "TIMESTAMPADD(DAY, 5, CAST('2008-12-25' AS DATE))", }, write={ "bigquery": "DATE_ADD(CAST('2008-12-25' AS DATE), INTERVAL 5 DAY)", "snowflake": "DATEADD(DAY, 5, CAST('2008-12-25' AS DATE))", }, ) self.validate_identity( "DATEDIFF(DAY, CAST('2007-12-25' AS DATE), CAST('2008-12-25' AS DATE))" ) self.validate_identity( "TIMEDIFF(DAY, CAST('2007-12-25' AS DATE), CAST('2008-12-25' AS DATE))", "DATEDIFF(DAY, CAST('2007-12-25' AS DATE), CAST('2008-12-25' AS DATE))", ) self.validate_identity( "TIMESTAMPDIFF(DAY, CAST('2007-12-25' AS DATE), CAST('2008-12-25' AS DATE))", "DATEDIFF(DAY, CAST('2007-12-25' AS DATE), CAST('2008-12-25' AS DATE))", ) self.validate_identity("DATEADD(y, 5, x)", "DATEADD(YEAR, 5, x)") self.validate_identity("DATEADD(y, 5, x)", "DATEADD(YEAR, 5, x)") self.validate_identity("DATE_PART(yyy, x)", "DATE_PART(YEAR, x)") self.validate_identity("DATE_TRUNC(yr, x)", "DATE_TRUNC('YEAR', x)") self.validate_identity("TO_DATE('12345')").assert_is(exp.Anonymous) self.validate_identity( "SELECT TO_DATE('2019-02-28') + INTERVAL '1 day, 1 year'", "SELECT CAST('2019-02-28' AS DATE) + INTERVAL '1 day, 1 year'", ) self.validate_identity("TO_DATE(x)").assert_is(exp.TsOrDsToDate) self.validate_identity("TRY_TO_DATE(x)").assert_is(exp.TsOrDsToDate) self.validate_all( "DATE(x)", write={ "duckdb": "CAST(x AS DATE)", "snowflake": "TO_DATE(x)", }, ) self.validate_all( "TO_DATE(x, 'MM-DD-YYYY')", write={ "snowflake": "TO_DATE(x, 'mm-DD-yyyy')", "duckdb": "CAST(STRPTIME(x, '%m-%d-%Y') AS DATE)", }, ) self.validate_all( "DATE('01-01-2000', 'MM-DD-YYYY')", write={ "snowflake": "TO_DATE('01-01-2000', 'mm-DD-yyyy')", "duckdb": "CAST(STRPTIME('01-01-2000', '%m-%d-%Y') AS DATE)", }, ) self.validate_all( "TO_DATE('01-01-2000', 'MM-DD-YYYY')", write={ "snowflake": "TO_DATE('01-01-2000', 'mm-DD-yyyy')", "duckdb": "CAST(STRPTIME('01-01-2000', '%m-%d-%Y') AS DATE)", }, ) self.validate_all( "TRY_TO_DATE('01-01-2000', 'MM-DD-YYYY')", write={ "snowflake": "TRY_TO_DATE('01-01-2000', 'mm-DD-yyyy')", "duckdb": "CAST(STRPTIME('01-01-2000', '%m-%d-%Y') AS DATE)", }, ) def test_semi_structured_types(self): self.validate_identity("SELECT CAST(a AS VARIANT)") self.validate_identity("SELECT CAST(a AS ARRAY)") self.validate_all( "SELECT a::VARIANT", write={ "snowflake": "SELECT CAST(a AS VARIANT)", "tsql": "SELECT CAST(a AS SQL_VARIANT)", }, ) self.validate_all( "ARRAY_CONSTRUCT(0, 1, 2)", write={ "snowflake": "[0, 1, 2]", "bigquery": "[0, 1, 2]", "duckdb": "[0, 1, 2]", "presto": "ARRAY[0, 1, 2]", "spark": "ARRAY(0, 1, 2)", }, ) self.validate_all( "SELECT a::OBJECT", write={ "snowflake": "SELECT CAST(a AS OBJECT)", }, ) def test_historical_data(self): self.validate_identity("SELECT * FROM my_table AT (STATEMENT => $query_id_var)") self.validate_identity("SELECT * FROM my_table AT (OFFSET => -60 * 5)") self.validate_identity("SELECT * FROM my_table BEFORE (STATEMENT => $query_id_var)") self.validate_identity("SELECT * FROM my_table BEFORE (OFFSET => -60 * 5)") self.validate_identity("CREATE SCHEMA restored_schema CLONE my_schema AT (OFFSET => -3600)") self.validate_identity( "CREATE TABLE restored_table CLONE my_table AT (TIMESTAMP => CAST('Sat, 09 May 2015 01:01:00 +0300' AS TIMESTAMPTZ))", ) self.validate_identity( "CREATE DATABASE restored_db CLONE my_db BEFORE (STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726')" ) self.validate_identity( "SELECT * FROM my_table AT (TIMESTAMP => TO_TIMESTAMP(1432669154242, 3))" ) self.validate_identity( "SELECT * FROM my_table AT (OFFSET => -60 * 5) AS T WHERE T.flag = 'valid'" ) self.validate_identity( "SELECT * FROM my_table AT (STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726')" ) self.validate_identity( "SELECT * FROM my_table BEFORE (STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726')" ) self.validate_identity( "SELECT * FROM my_table AT (TIMESTAMP => 'Fri, 01 May 2015 16:20:00 -0700'::timestamp)", "SELECT * FROM my_table AT (TIMESTAMP => CAST('Fri, 01 May 2015 16:20:00 -0700' AS TIMESTAMP))", ) self.validate_identity( "SELECT * FROM my_table AT(TIMESTAMP => 'Fri, 01 May 2015 16:20:00 -0700'::timestamp_tz)", "SELECT * FROM my_table AT (TIMESTAMP => CAST('Fri, 01 May 2015 16:20:00 -0700' AS TIMESTAMPTZ))", ) self.validate_identity( "SELECT * FROM my_table BEFORE (TIMESTAMP => 'Fri, 01 May 2015 16:20:00 -0700'::timestamp_tz);", "SELECT * FROM my_table BEFORE (TIMESTAMP => CAST('Fri, 01 May 2015 16:20:00 -0700' AS TIMESTAMPTZ))", ) self.validate_identity( """ SELECT oldt.* , newt.* FROM my_table BEFORE(STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726') AS oldt FULL OUTER JOIN my_table AT(STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726') AS newt ON oldt.id = newt.id WHERE oldt.id IS NULL OR newt.id IS NULL; """, "SELECT oldt.*, newt.* FROM my_table BEFORE (STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726') AS oldt FULL OUTER JOIN my_table AT (STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726') AS newt ON oldt.id = newt.id WHERE oldt.id IS NULL OR newt.id IS NULL", ) def test_ddl(self): for constraint_prefix in ("WITH ", ""): with self.subTest(f"Constraint prefix: {constraint_prefix}"): self.validate_identity( f"CREATE TABLE t (id INT {constraint_prefix}MASKING POLICY p)", "CREATE TABLE t (id INT MASKING POLICY p)", ) self.validate_identity( f"CREATE TABLE t (id INT {constraint_prefix}MASKING POLICY p USING (c1, c2, c3))", "CREATE TABLE t (id INT MASKING POLICY p USING (c1, c2, c3))", ) self.validate_identity( f"CREATE TABLE t (id INT {constraint_prefix}PROJECTION POLICY p)", "CREATE TABLE t (id INT PROJECTION POLICY p)", ) self.validate_identity( f"CREATE TABLE t (id INT {constraint_prefix}TAG (key1='value_1', key2='value_2'))", "CREATE TABLE t (id INT TAG (key1='value_1', key2='value_2'))", ) self.validate_identity( """create external table et2( col1 date as (parse_json(metadata$external_table_partition):COL1::date), col2 varchar as (parse_json(metadata$external_table_partition):COL2::varchar), col3 number as (parse_json(metadata$external_table_partition):COL3::number)) partition by (col1,col2,col3) location=@s2/logs/ partition_type = user_specified file_format = (type = parquet)""", "CREATE EXTERNAL TABLE et2 (col1 DATE AS (CAST(GET_PATH(PARSE_JSON(metadata$external_table_partition), 'COL1') AS DATE)), col2 VARCHAR AS (CAST(GET_PATH(PARSE_JSON(metadata$external_table_partition), 'COL2') AS VARCHAR)), col3 DECIMAL(38, 0) AS (CAST(GET_PATH(PARSE_JSON(metadata$external_table_partition), 'COL3') AS DECIMAL(38, 0)))) LOCATION @s2/logs/ PARTITION BY (col1, col2, col3) partition_type=user_specified file_format=(type = parquet)", ) self.validate_identity("CREATE OR REPLACE VIEW foo (uid) COPY GRANTS AS (SELECT 1)") self.validate_identity("CREATE TABLE geospatial_table (id INT, g GEOGRAPHY)") self.validate_identity("CREATE MATERIALIZED VIEW a COMMENT='...' AS SELECT 1 FROM x") self.validate_identity("CREATE DATABASE mytestdb_clone CLONE mytestdb") self.validate_identity("CREATE SCHEMA mytestschema_clone CLONE testschema") self.validate_identity("CREATE TABLE IDENTIFIER('foo') (COLUMN1 VARCHAR, COLUMN2 VARCHAR)") self.validate_identity("CREATE TABLE IDENTIFIER($foo) (col1 VARCHAR, col2 VARCHAR)") self.validate_identity("CREATE TAG cost_center ALLOWED_VALUES 'a', 'b'") self.validate_identity("CREATE WAREHOUSE x").this.assert_is(exp.Identifier) self.validate_identity("CREATE STREAMLIT x").this.assert_is(exp.Identifier) self.validate_identity( "CREATE OR REPLACE TAG IF NOT EXISTS cost_center COMMENT='cost_center tag'" ).this.assert_is(exp.Identifier) self.validate_identity( "ALTER TABLE db_name.schmaName.tblName ADD COLUMN COLUMN_1 VARCHAR NOT NULL TAG (key1='value_1')" ) self.validate_identity( "DROP FUNCTION my_udf (OBJECT(city VARCHAR, zipcode DECIMAL(38, 0), val ARRAY(BOOLEAN)))" ) self.validate_identity( "CREATE TABLE orders_clone_restore CLONE orders AT (TIMESTAMP => TO_TIMESTAMP_TZ('04/05/2013 01:02:03', 'mm/dd/yyyy hh24:mi:ss'))" ) self.validate_identity( "CREATE TABLE orders_clone_restore CLONE orders BEFORE (STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726')" ) self.validate_identity( "CREATE TABLE a (x DATE, y BIGINT) PARTITION BY (x) integration='q' auto_refresh=TRUE file_format=(type = parquet)" ) self.validate_identity( "CREATE SCHEMA mytestschema_clone_restore CLONE testschema BEFORE (TIMESTAMP => TO_TIMESTAMP(40 * 365 * 86400))" ) self.validate_identity( "CREATE OR REPLACE TABLE EXAMPLE_DB.DEMO.USERS (ID DECIMAL(38, 0) NOT NULL, PRIMARY KEY (ID), FOREIGN KEY (CITY_CODE) REFERENCES EXAMPLE_DB.DEMO.CITIES (CITY_CODE))" ) self.validate_identity( "CREATE ICEBERG TABLE my_iceberg_table (amount ARRAY(INT)) CATALOG='SNOWFLAKE' EXTERNAL_VOLUME='my_external_volume' BASE_LOCATION='my/relative/path/from/extvol'" ) self.validate_identity( """CREATE OR REPLACE FUNCTION ibis_udfs.public.object_values("obj" OBJECT) RETURNS ARRAY LANGUAGE JAVASCRIPT RETURNS NULL ON NULL INPUT AS ' return Object.values(obj) '""" ) self.validate_identity( """CREATE OR REPLACE FUNCTION ibis_udfs.public.object_values("obj" OBJECT) RETURNS ARRAY LANGUAGE JAVASCRIPT STRICT AS ' return Object.values(obj) '""" ) self.validate_identity( "CREATE OR REPLACE FUNCTION my_udf(location OBJECT(city VARCHAR, zipcode DECIMAL(38, 0), val ARRAY(BOOLEAN))) RETURNS VARCHAR AS $$ SELECT 'foo' $$", "CREATE OR REPLACE FUNCTION my_udf(location OBJECT(city VARCHAR, zipcode DECIMAL(38, 0), val ARRAY(BOOLEAN))) RETURNS VARCHAR AS ' SELECT \\'foo\\' '", ) self.validate_identity( "CREATE OR REPLACE FUNCTION my_udtf(foo BOOLEAN) RETURNS TABLE(col1 ARRAY(INT)) AS $$ WITH t AS (SELECT CAST([1, 2, 3] AS ARRAY(INT)) AS c) SELECT c FROM t $$", "CREATE OR REPLACE FUNCTION my_udtf(foo BOOLEAN) RETURNS TABLE (col1 ARRAY(INT)) AS ' WITH t AS (SELECT CAST([1, 2, 3] AS ARRAY(INT)) AS c) SELECT c FROM t '", ) self.validate_identity( "CREATE SEQUENCE seq1 WITH START=1, INCREMENT=1 ORDER", "CREATE SEQUENCE seq1 START=1 INCREMENT BY 1 ORDER", ) self.validate_identity( "CREATE SEQUENCE seq1 WITH START=1 INCREMENT=1 ORDER", "CREATE SEQUENCE seq1 START=1 INCREMENT=1 ORDER", ) self.validate_all( "CREATE TABLE orders_clone CLONE orders", read={ "bigquery": "CREATE TABLE orders_clone CLONE orders", }, write={ "bigquery": "CREATE TABLE orders_clone CLONE orders", "snowflake": "CREATE TABLE orders_clone CLONE orders", }, ) self.validate_all( "CREATE OR REPLACE TRANSIENT TABLE a (id INT)", read={ "postgres": "CREATE OR REPLACE TRANSIENT TABLE a (id INT)", "snowflake": "CREATE OR REPLACE TRANSIENT TABLE a (id INT)", }, write={ "postgres": "CREATE OR REPLACE TABLE a (id INT)", "mysql": "CREATE OR REPLACE TABLE a (id INT)", "snowflake": "CREATE OR REPLACE TRANSIENT TABLE a (id INT)", }, ) self.validate_all( "CREATE TABLE a (b INT)", read={"teradata": "CREATE MULTISET TABLE a (b INT)"}, write={"snowflake": "CREATE TABLE a (b INT)"}, ) for action in ("SET", "DROP"): with self.subTest(f"ALTER COLUMN {action} NOT NULL"): self.validate_all( f""" ALTER TABLE a ALTER COLUMN my_column {action} NOT NULL; """, write={ "snowflake": f"ALTER TABLE a ALTER COLUMN my_column {action} NOT NULL", "duckdb": f"ALTER TABLE a ALTER COLUMN my_column {action} NOT NULL", "postgres": f"ALTER TABLE a ALTER COLUMN my_column {action} NOT NULL", }, ) def test_user_defined_functions(self): self.validate_all( "CREATE FUNCTION a(x DATE, y BIGINT) RETURNS ARRAY LANGUAGE JAVASCRIPT AS $$ SELECT 1 $$", write={ "snowflake": "CREATE FUNCTION a(x DATE, y BIGINT) RETURNS ARRAY LANGUAGE JAVASCRIPT AS ' SELECT 1 '", }, ) self.validate_all( "CREATE FUNCTION a() RETURNS TABLE (b INT) AS 'SELECT 1'", write={ "snowflake": "CREATE FUNCTION a() RETURNS TABLE (b INT) AS 'SELECT 1'", "bigquery": "CREATE TABLE FUNCTION a() RETURNS TABLE AS SELECT 1", }, ) self.validate_all( "CREATE FUNCTION a() RETURNS INT IMMUTABLE AS 'SELECT 1'", write={ "snowflake": "CREATE FUNCTION a() RETURNS INT IMMUTABLE AS 'SELECT 1'", }, ) def test_stored_procedures(self): self.validate_identity("CALL a.b.c(x, y)", check_command_warning=True) self.validate_identity( "CREATE PROCEDURE a.b.c(x INT, y VARIANT) RETURNS OBJECT EXECUTE AS CALLER AS 'BEGIN SELECT 1; END;'" ) def test_table_literal(self): # All examples from https://docs.snowflake.com/en/sql-reference/literals-table.html self.validate_all( r"""SELECT * FROM TABLE('MYTABLE')""", write={"snowflake": r"""SELECT * FROM TABLE('MYTABLE')"""}, ) self.validate_all( r"""SELECT * FROM TABLE('MYDB."MYSCHEMA"."MYTABLE"')""", write={"snowflake": r"""SELECT * FROM TABLE('MYDB."MYSCHEMA"."MYTABLE"')"""}, ) # Per Snowflake documentation at https://docs.snowflake.com/en/sql-reference/literals-table.html # one can use either a " ' " or " $$ " to enclose the object identifier. # Capturing the single tokens seems like lot of work. Hence adjusting tests to use these interchangeably, self.validate_all( r"""SELECT * FROM TABLE($$MYDB. "MYSCHEMA"."MYTABLE"$$)""", write={"snowflake": r"""SELECT * FROM TABLE('MYDB. "MYSCHEMA"."MYTABLE"')"""}, ) self.validate_all( r"""SELECT * FROM TABLE($MYVAR)""", write={"snowflake": r"""SELECT * FROM TABLE($MYVAR)"""}, ) self.validate_all( r"""SELECT * FROM TABLE(?)""", write={"snowflake": r"""SELECT * FROM TABLE(?)"""}, ) self.validate_all( r"""SELECT * FROM TABLE(:BINDING)""", write={"snowflake": r"""SELECT * FROM TABLE(:BINDING)"""}, ) self.validate_all( r"""SELECT * FROM TABLE($MYVAR) WHERE COL1 = 10""", write={"snowflake": r"""SELECT * FROM TABLE($MYVAR) WHERE COL1 = 10"""}, ) def test_flatten(self): self.validate_all( """ select dag_report.acct_id, dag_report.report_date, dag_report.report_uuid, dag_report.airflow_name, dag_report.dag_id, f.value::varchar as operator from cs.telescope.dag_report, table(flatten(input=>split(operators, ','))) f """, write={ "snowflake": """SELECT dag_report.acct_id, dag_report.report_date, dag_report.report_uuid, dag_report.airflow_name, dag_report.dag_id, CAST(f.value AS VARCHAR) AS operator FROM cs.telescope.dag_report, TABLE(FLATTEN(input => SPLIT(operators, ','))) AS f""" }, pretty=True, ) # All examples from https://docs.snowflake.com/en/sql-reference/functions/flatten.html#syntax self.validate_all( "SELECT * FROM TABLE(FLATTEN(input => parse_json('[1, ,77]'))) f", write={ "snowflake": "SELECT * FROM TABLE(FLATTEN(input => PARSE_JSON('[1, ,77]'))) AS f" }, ) self.validate_all( """SELECT * FROM TABLE(FLATTEN(input => parse_json('{"a":1, "b":[77,88]}'), outer => true)) f""", write={ "snowflake": """SELECT * FROM TABLE(FLATTEN(input => PARSE_JSON('{"a":1, "b":[77,88]}'), outer => TRUE)) AS f""" }, ) self.validate_all( """SELECT * FROM TABLE(FLATTEN(input => parse_json('{"a":1, "b":[77,88]}'), path => 'b')) f""", write={ "snowflake": """SELECT * FROM TABLE(FLATTEN(input => PARSE_JSON('{"a":1, "b":[77,88]}'), path => 'b')) AS f""" }, ) self.validate_all( """SELECT * FROM TABLE(FLATTEN(input => parse_json('[]'))) f""", write={"snowflake": """SELECT * FROM TABLE(FLATTEN(input => PARSE_JSON('[]'))) AS f"""}, ) self.validate_all( """SELECT * FROM TABLE(FLATTEN(input => parse_json('[]'), outer => true)) f""", write={ "snowflake": """SELECT * FROM TABLE(FLATTEN(input => PARSE_JSON('[]'), outer => TRUE)) AS f""" }, ) self.validate_all( """SELECT * FROM TABLE(FLATTEN(input => parse_json('{"a":1, "b":[77,88], "c": {"d":"X"}}'))) f""", write={ "snowflake": """SELECT * FROM TABLE(FLATTEN(input => PARSE_JSON('{"a":1, "b":[77,88], "c": {"d":"X"}}'))) AS f""" }, ) self.validate_all( """SELECT * FROM TABLE(FLATTEN(input => parse_json('{"a":1, "b":[77,88], "c": {"d":"X"}}'), recursive => true)) f""", write={ "snowflake": """SELECT * FROM TABLE(FLATTEN(input => PARSE_JSON('{"a":1, "b":[77,88], "c": {"d":"X"}}'), recursive => TRUE)) AS f""" }, ) self.validate_all( """SELECT * FROM TABLE(FLATTEN(input => parse_json('{"a":1, "b":[77,88], "c": {"d":"X"}}'), recursive => true, mode => 'object')) f""", write={ "snowflake": """SELECT * FROM TABLE(FLATTEN(input => PARSE_JSON('{"a":1, "b":[77,88], "c": {"d":"X"}}'), recursive => TRUE, mode => 'object')) AS f""" }, ) self.validate_all( """ SELECT id as "ID", f.value AS "Contact", f1.value:type AS "Type", f1.value:content AS "Details" FROM persons p, lateral flatten(input => p.c, path => 'contact') f, lateral flatten(input => f.value:business) f1 """, write={ "snowflake": """SELECT id AS "ID", f.value AS "Contact", GET_PATH(f1.value, 'type') AS "Type", GET_PATH(f1.value, 'content') AS "Details" FROM persons AS p, LATERAL FLATTEN(input => p.c, path => 'contact') AS f(SEQ, KEY, PATH, INDEX, VALUE, THIS), LATERAL FLATTEN(input => GET_PATH(f.value, 'business')) AS f1(SEQ, KEY, PATH, INDEX, VALUE, THIS)""", }, pretty=True, ) self.validate_all( """ SELECT id as "ID", value AS "Contact" FROM persons p, lateral flatten(input => p.c, path => 'contact') """, write={ "snowflake": """SELECT id AS "ID", value AS "Contact" FROM persons AS p, LATERAL FLATTEN(input => p.c, path => 'contact') AS _flattened(SEQ, KEY, PATH, INDEX, VALUE, THIS)""", }, pretty=True, ) def test_minus(self): self.validate_all( "SELECT 1 EXCEPT SELECT 1", read={ "oracle": "SELECT 1 MINUS SELECT 1", "snowflake": "SELECT 1 MINUS SELECT 1", }, ) def test_values(self): select = exp.select("*").from_("values (map(['a'], [1]))") self.assertEqual(select.sql("snowflake"), "SELECT * FROM (SELECT OBJECT_CONSTRUCT('a', 1))") self.validate_all( 'SELECT "c0", "c1" FROM (VALUES (1, 2), (3, 4)) AS "t0"("c0", "c1")', read={ "spark": "SELECT `c0`, `c1` FROM (VALUES (1, 2), (3, 4)) AS `t0`(`c0`, `c1`)", }, ) self.validate_all( """SELECT $1 AS "_1" FROM VALUES ('a'), ('b')""", write={ "snowflake": """SELECT $1 AS "_1" FROM (VALUES ('a'), ('b'))""", "spark": """SELECT ${1} AS `_1` FROM VALUES ('a'), ('b')""", }, ) self.validate_all( "SELECT * FROM (SELECT OBJECT_CONSTRUCT('a', 1) AS x) AS t", read={ "duckdb": "SELECT * FROM (VALUES ({'a': 1})) AS t(x)", }, ) self.validate_all( "SELECT * FROM (SELECT OBJECT_CONSTRUCT('a', 1) AS x UNION ALL SELECT OBJECT_CONSTRUCT('a', 2)) AS t", read={ "duckdb": "SELECT * FROM (VALUES ({'a': 1}), ({'a': 2})) AS t(x)", }, ) def test_describe_table(self): self.validate_all( "DESCRIBE TABLE db.table", write={ "snowflake": "DESCRIBE TABLE db.table", "spark": "DESCRIBE db.table", }, ) self.validate_all( "DESCRIBE db.table", write={ "snowflake": "DESCRIBE TABLE db.table", "spark": "DESCRIBE db.table", }, ) self.validate_all( "DESC TABLE db.table", write={ "snowflake": "DESCRIBE TABLE db.table", "spark": "DESCRIBE db.table", }, ) self.validate_all( "DESC VIEW db.table", write={ "snowflake": "DESCRIBE VIEW db.table", "spark": "DESCRIBE db.table", }, ) def test_parse_like_any(self): like = parse_one("a LIKE ANY fun('foo')", read="snowflake") ilike = parse_one("a ILIKE ANY fun('foo')", read="snowflake") self.assertIsInstance(like, exp.LikeAny) self.assertIsInstance(ilike, exp.ILikeAny) like.sql() # check that this doesn't raise @mock.patch("sqlglot.generator.logger") def test_regexp_substr(self, logger): self.validate_all( "REGEXP_SUBSTR(subject, pattern, pos, occ, params, group)", write={ "bigquery": "REGEXP_EXTRACT(subject, pattern, pos, occ)", "hive": "REGEXP_EXTRACT(subject, pattern, group)", "presto": 'REGEXP_EXTRACT(subject, pattern, "group")', "snowflake": "REGEXP_SUBSTR(subject, pattern, pos, occ, params, group)", "spark": "REGEXP_EXTRACT(subject, pattern, group)", }, ) self.validate_all( "REGEXP_SUBSTR(subject, pattern)", read={ "bigquery": "REGEXP_EXTRACT(subject, pattern)", "hive": "REGEXP_EXTRACT(subject, pattern)", "presto": "REGEXP_EXTRACT(subject, pattern)", "spark": "REGEXP_EXTRACT(subject, pattern)", }, write={ "bigquery": "REGEXP_EXTRACT(subject, pattern)", "hive": "REGEXP_EXTRACT(subject, pattern)", "presto": "REGEXP_EXTRACT(subject, pattern)", "snowflake": "REGEXP_SUBSTR(subject, pattern)", "spark": "REGEXP_EXTRACT(subject, pattern)", }, ) self.validate_all( "REGEXP_SUBSTR(subject, pattern, 1, 1, 'c', group)", read={ "bigquery": "REGEXP_SUBSTR(subject, pattern, 1, 1, 'c', group)", "duckdb": "REGEXP_EXTRACT(subject, pattern, group)", "hive": "REGEXP_EXTRACT(subject, pattern, group)", "presto": "REGEXP_EXTRACT(subject, pattern, group)", "snowflake": "REGEXP_SUBSTR(subject, pattern, 1, 1, 'c', group)", "spark": "REGEXP_EXTRACT(subject, pattern, group)", }, ) @mock.patch("sqlglot.generator.logger") def test_regexp_replace(self, logger): self.validate_all( "REGEXP_REPLACE(subject, pattern)", write={ "bigquery": "REGEXP_REPLACE(subject, pattern, '')", "duckdb": "REGEXP_REPLACE(subject, pattern, '')", "hive": "REGEXP_REPLACE(subject, pattern, '')", "snowflake": "REGEXP_REPLACE(subject, pattern, '')", "spark": "REGEXP_REPLACE(subject, pattern, '')", }, ) self.validate_all( "REGEXP_REPLACE(subject, pattern, replacement)", read={ "bigquery": "REGEXP_REPLACE(subject, pattern, replacement)", "duckdb": "REGEXP_REPLACE(subject, pattern, replacement)", "hive": "REGEXP_REPLACE(subject, pattern, replacement)", "spark": "REGEXP_REPLACE(subject, pattern, replacement)", }, write={ "bigquery": "REGEXP_REPLACE(subject, pattern, replacement)", "duckdb": "REGEXP_REPLACE(subject, pattern, replacement)", "hive": "REGEXP_REPLACE(subject, pattern, replacement)", "snowflake": "REGEXP_REPLACE(subject, pattern, replacement)", "spark": "REGEXP_REPLACE(subject, pattern, replacement)", }, ) self.validate_all( "REGEXP_REPLACE(subject, pattern, replacement, position)", read={ "spark": "REGEXP_REPLACE(subject, pattern, replacement, position)", }, write={ "bigquery": "REGEXP_REPLACE(subject, pattern, replacement)", "duckdb": "REGEXP_REPLACE(subject, pattern, replacement)", "hive": "REGEXP_REPLACE(subject, pattern, replacement)", "snowflake": "REGEXP_REPLACE(subject, pattern, replacement, position)", "spark": "REGEXP_REPLACE(subject, pattern, replacement, position)", }, ) self.validate_all( "REGEXP_REPLACE(subject, pattern, replacement, position, occurrence, parameters)", write={ "bigquery": "REGEXP_REPLACE(subject, pattern, replacement)", "duckdb": "REGEXP_REPLACE(subject, pattern, replacement, parameters)", "hive": "REGEXP_REPLACE(subject, pattern, replacement)", "snowflake": "REGEXP_REPLACE(subject, pattern, replacement, position, occurrence, parameters)", "spark": "REGEXP_REPLACE(subject, pattern, replacement, position)", }, ) def test_match_recognize(self): for window_frame in ("", "FINAL ", "RUNNING "): for row in ( "ONE ROW PER MATCH", "ALL ROWS PER MATCH", "ALL ROWS PER MATCH SHOW EMPTY MATCHES", "ALL ROWS PER MATCH OMIT EMPTY MATCHES", "ALL ROWS PER MATCH WITH UNMATCHED ROWS", ): for after in ( "AFTER MATCH SKIP", "AFTER MATCH SKIP PAST LAST ROW", "AFTER MATCH SKIP TO NEXT ROW", "AFTER MATCH SKIP TO FIRST x", "AFTER MATCH SKIP TO LAST x", ): with self.subTest( f"MATCH_RECOGNIZE with window frame {window_frame}, rows {row}, after {after}: " ): self.validate_identity( f"""SELECT * FROM x MATCH_RECOGNIZE ( PARTITION BY a, b ORDER BY x DESC MEASURES {window_frame}y AS b {row} {after} PATTERN (^ S1 S2*? ( {{- S3 -}} S4 )+ | PERMUTE(S1, S2){{1,2}} $) DEFINE x AS y )""", pretty=True, ) def test_show_users(self): self.validate_identity("SHOW USERS") self.validate_identity("SHOW TERSE USERS") self.validate_identity("SHOW USERS LIKE '_foo%' STARTS WITH 'bar' LIMIT 5 FROM 'baz'") def test_show_schemas(self): self.validate_identity( "show terse schemas in database db1 starts with 'a' limit 10 from 'b'", "SHOW TERSE SCHEMAS IN DATABASE db1 STARTS WITH 'a' LIMIT 10 FROM 'b'", ) ast = parse_one("SHOW SCHEMAS IN DATABASE db1", read="snowflake") self.assertEqual(ast.args.get("scope_kind"), "DATABASE") self.assertEqual(ast.find(exp.Table).sql(dialect="snowflake"), "db1") def test_show_objects(self): self.validate_identity( "show terse objects in schema db1.schema1 starts with 'a' limit 10 from 'b'", "SHOW TERSE OBJECTS IN SCHEMA db1.schema1 STARTS WITH 'a' LIMIT 10 FROM 'b'", ) self.validate_identity( "show terse objects in db1.schema1 starts with 'a' limit 10 from 'b'", "SHOW TERSE OBJECTS IN SCHEMA db1.schema1 STARTS WITH 'a' LIMIT 10 FROM 'b'", ) ast = parse_one("SHOW OBJECTS IN db1.schema1", read="snowflake") self.assertEqual(ast.args.get("scope_kind"), "SCHEMA") self.assertEqual(ast.find(exp.Table).sql(dialect="snowflake"), "db1.schema1") def test_show_columns(self): self.validate_identity("SHOW COLUMNS") self.validate_identity("SHOW COLUMNS IN TABLE dt_test") self.validate_identity("SHOW COLUMNS LIKE '_foo%' IN TABLE dt_test") self.validate_identity("SHOW COLUMNS IN VIEW") self.validate_identity("SHOW COLUMNS LIKE '_foo%' IN VIEW dt_test") ast = parse_one("SHOW COLUMNS LIKE '_testing%' IN dt_test", read="snowflake") self.assertEqual(ast.find(exp.Table).sql(dialect="snowflake"), "dt_test") self.assertEqual(ast.find(exp.Literal).sql(dialect="snowflake"), "'_testing%'") def test_show_tables(self): self.validate_identity( "SHOW TABLES LIKE 'line%' IN tpch.public", "SHOW TABLES LIKE 'line%' IN SCHEMA tpch.public", ) self.validate_identity( "SHOW TABLES HISTORY IN tpch.public", "SHOW TABLES HISTORY IN SCHEMA tpch.public", ) self.validate_identity( "show terse tables in schema db1.schema1 starts with 'a' limit 10 from 'b'", "SHOW TERSE TABLES IN SCHEMA db1.schema1 STARTS WITH 'a' LIMIT 10 FROM 'b'", ) self.validate_identity( "show terse tables in db1.schema1 starts with 'a' limit 10 from 'b'", "SHOW TERSE TABLES IN SCHEMA db1.schema1 STARTS WITH 'a' LIMIT 10 FROM 'b'", ) ast = parse_one("SHOW TABLES IN db1.schema1", read="snowflake") self.assertEqual(ast.find(exp.Table).sql(dialect="snowflake"), "db1.schema1") def test_show_primary_keys(self): self.validate_identity("SHOW PRIMARY KEYS") self.validate_identity("SHOW PRIMARY KEYS IN ACCOUNT") self.validate_identity("SHOW PRIMARY KEYS IN DATABASE") self.validate_identity("SHOW PRIMARY KEYS IN DATABASE foo") self.validate_identity("SHOW PRIMARY KEYS IN TABLE") self.validate_identity("SHOW PRIMARY KEYS IN TABLE foo") self.validate_identity( 'SHOW PRIMARY KEYS IN "TEST"."PUBLIC"."foo"', 'SHOW PRIMARY KEYS IN TABLE "TEST"."PUBLIC"."foo"', ) self.validate_identity( 'SHOW TERSE PRIMARY KEYS IN "TEST"."PUBLIC"."foo"', 'SHOW PRIMARY KEYS IN TABLE "TEST"."PUBLIC"."foo"', ) ast = parse_one('SHOW PRIMARY KEYS IN "TEST"."PUBLIC"."foo"', read="snowflake") self.assertEqual(ast.find(exp.Table).sql(dialect="snowflake"), '"TEST"."PUBLIC"."foo"') def test_show_views(self): self.validate_identity("SHOW TERSE VIEWS") self.validate_identity("SHOW VIEWS") self.validate_identity("SHOW VIEWS LIKE 'foo%'") self.validate_identity("SHOW VIEWS IN ACCOUNT") self.validate_identity("SHOW VIEWS IN DATABASE") self.validate_identity("SHOW VIEWS IN DATABASE foo") self.validate_identity("SHOW VIEWS IN SCHEMA foo") self.validate_identity( "SHOW VIEWS IN foo", "SHOW VIEWS IN SCHEMA foo", ) ast = parse_one("SHOW VIEWS IN db1.schema1", read="snowflake") self.assertEqual(ast.find(exp.Table).sql(dialect="snowflake"), "db1.schema1") def test_show_unique_keys(self): self.validate_identity("SHOW UNIQUE KEYS") self.validate_identity("SHOW UNIQUE KEYS IN ACCOUNT") self.validate_identity("SHOW UNIQUE KEYS IN DATABASE") self.validate_identity("SHOW UNIQUE KEYS IN DATABASE foo") self.validate_identity("SHOW UNIQUE KEYS IN TABLE") self.validate_identity("SHOW UNIQUE KEYS IN TABLE foo") self.validate_identity( 'SHOW UNIQUE KEYS IN "TEST"."PUBLIC"."foo"', 'SHOW UNIQUE KEYS IN SCHEMA "TEST"."PUBLIC"."foo"', ) self.validate_identity( 'SHOW TERSE UNIQUE KEYS IN "TEST"."PUBLIC"."foo"', 'SHOW UNIQUE KEYS IN SCHEMA "TEST"."PUBLIC"."foo"', ) ast = parse_one('SHOW UNIQUE KEYS IN "TEST"."PUBLIC"."foo"', read="snowflake") self.assertEqual(ast.find(exp.Table).sql(dialect="snowflake"), '"TEST"."PUBLIC"."foo"') def test_show_imported_keys(self): self.validate_identity("SHOW IMPORTED KEYS") self.validate_identity("SHOW IMPORTED KEYS IN ACCOUNT") self.validate_identity("SHOW IMPORTED KEYS IN DATABASE") self.validate_identity("SHOW IMPORTED KEYS IN DATABASE foo") self.validate_identity("SHOW IMPORTED KEYS IN TABLE") self.validate_identity("SHOW IMPORTED KEYS IN TABLE foo") self.validate_identity( 'SHOW IMPORTED KEYS IN "TEST"."PUBLIC"."foo"', 'SHOW IMPORTED KEYS IN SCHEMA "TEST"."PUBLIC"."foo"', ) self.validate_identity( 'SHOW TERSE IMPORTED KEYS IN "TEST"."PUBLIC"."foo"', 'SHOW IMPORTED KEYS IN SCHEMA "TEST"."PUBLIC"."foo"', ) ast = parse_one('SHOW IMPORTED KEYS IN "TEST"."PUBLIC"."foo"', read="snowflake") self.assertEqual(ast.find(exp.Table).sql(dialect="snowflake"), '"TEST"."PUBLIC"."foo"') def test_show_sequences(self): self.validate_identity("SHOW TERSE SEQUENCES") self.validate_identity("SHOW SEQUENCES") self.validate_identity("SHOW SEQUENCES LIKE '_foo%' IN ACCOUNT") self.validate_identity("SHOW SEQUENCES LIKE '_foo%' IN DATABASE") self.validate_identity("SHOW SEQUENCES LIKE '_foo%' IN DATABASE foo") self.validate_identity("SHOW SEQUENCES LIKE '_foo%' IN SCHEMA") self.validate_identity("SHOW SEQUENCES LIKE '_foo%' IN SCHEMA foo") self.validate_identity( "SHOW SEQUENCES LIKE '_foo%' IN foo", "SHOW SEQUENCES LIKE '_foo%' IN SCHEMA foo", ) ast = parse_one("SHOW SEQUENCES IN dt_test", read="snowflake") self.assertEqual(ast.args.get("scope_kind"), "SCHEMA") def test_storage_integration(self): self.validate_identity( """CREATE STORAGE INTEGRATION s3_int TYPE=EXTERNAL_STAGE STORAGE_PROVIDER='S3' STORAGE_AWS_ROLE_ARN='arn:aws:iam::001234567890:role/myrole' ENABLED=TRUE STORAGE_ALLOWED_LOCATIONS=('s3://mybucket1/path1/', 's3://mybucket2/path2/')""", pretty=True, ).this.assert_is(exp.Identifier) def test_swap(self): ast = parse_one("ALTER TABLE a SWAP WITH b", read="snowflake") assert isinstance(ast, exp.AlterTable) assert isinstance(ast.args["actions"][0], exp.SwapTable) def test_try_cast(self): self.validate_identity("SELECT TRY_CAST(x AS DOUBLE)") self.validate_all("TRY_CAST('foo' AS TEXT)", read={"hive": "CAST('foo' AS STRING)"}) self.validate_all("CAST(5 + 5 AS TEXT)", read={"hive": "CAST(5 + 5 AS STRING)"}) self.validate_all( "CAST(TRY_CAST('2020-01-01' AS DATE) AS TEXT)", read={ "hive": "CAST(CAST('2020-01-01' AS DATE) AS STRING)", "snowflake": "CAST(TRY_CAST('2020-01-01' AS DATE) AS TEXT)", }, ) self.validate_all( "TRY_CAST(x AS TEXT)", read={ "hive": "CAST(x AS STRING)", "snowflake": "TRY_CAST(x AS TEXT)", }, ) from sqlglot.optimizer.annotate_types import annotate_types expression = parse_one("SELECT CAST(t.x AS STRING) FROM t", read="hive") expression = annotate_types(expression, schema={"t": {"x": "string"}}) self.assertEqual(expression.sql(dialect="snowflake"), "SELECT TRY_CAST(t.x AS TEXT) FROM t") expression = annotate_types(expression, schema={"t": {"x": "int"}}) self.assertEqual(expression.sql(dialect="snowflake"), "SELECT CAST(t.x AS TEXT) FROM t") # We can't infer FOO's type since it's a UDF in this case, so we don't get rid of TRY_CAST expression = parse_one("SELECT TRY_CAST(FOO() AS TEXT)", read="snowflake") expression = annotate_types(expression) self.assertEqual(expression.sql(dialect="snowflake"), "SELECT TRY_CAST(FOO() AS TEXT)") def test_copy(self): self.validate_identity("COPY INTO test (c1) FROM (SELECT $1.c1 FROM @mystage)") self.validate_identity( """COPY INTO temp FROM @random_stage/path/ FILE_FORMAT = (TYPE=CSV FIELD_DELIMITER='|' NULL_IF=('str1', 'str2') FIELD_OPTIONALLY_ENCLOSED_BY='"' TIMESTAMP_FORMAT='TZHTZM YYYY-MM-DD HH24:MI:SS.FF9' DATE_FORMAT='TZHTZM YYYY-MM-DD HH24:MI:SS.FF9' BINARY_FORMAT=BASE64) VALIDATION_MODE = 'RETURN_3_ROWS'""" ) self.validate_identity( """COPY INTO load1 FROM @%load1/data1/ CREDENTIALS = (AWS_KEY_ID='id' AWS_SECRET_KEY='key' AWS_TOKEN='token') FILES = ('test1.csv', 'test2.csv') FORCE = TRUE""" ) self.validate_identity( """COPY INTO mytable FROM 'azure://myaccount.blob.core.windows.net/mycontainer/data/files' CREDENTIALS = (AZURE_SAS_TOKEN='token') ENCRYPTION = (TYPE='AZURE_CSE' MASTER_KEY='kPx...') FILE_FORMAT = (FORMAT_NAME=my_csv_format)""" ) self.validate_identity( """COPY INTO mytable (col1, col2) FROM 's3://mybucket/data/files' STORAGE_INTEGRATION = "storage" ENCRYPTION = (TYPE='NONE' MASTER_KEY='key') FILES = ('file1', 'file2') PATTERN = 'pattern' FILE_FORMAT = (FORMAT_NAME=my_csv_format NULL_IF=('')) PARSE_HEADER = TRUE""" ) self.validate_all( """COPY INTO 's3://example/data.csv' FROM EXTRA.EXAMPLE.TABLE CREDENTIALS = () FILE_FORMAT = (TYPE = CSV COMPRESSION = NONE NULL_IF = ('') FIELD_OPTIONALLY_ENCLOSED_BY = '"') HEADER = TRUE OVERWRITE = TRUE SINGLE = TRUE """, write={ "": """COPY INTO 's3://example/data.csv' FROM EXTRA.EXAMPLE.TABLE CREDENTIALS = () WITH ( FILE_FORMAT = (TYPE=CSV COMPRESSION=NONE NULL_IF=( '' ) FIELD_OPTIONALLY_ENCLOSED_BY='"'), HEADER TRUE, OVERWRITE TRUE, SINGLE TRUE )""", "snowflake": """COPY INTO 's3://example/data.csv' FROM EXTRA.EXAMPLE.TABLE CREDENTIALS = () FILE_FORMAT = (TYPE=CSV COMPRESSION=NONE NULL_IF=( '' ) FIELD_OPTIONALLY_ENCLOSED_BY='"') HEADER = TRUE OVERWRITE = TRUE SINGLE = TRUE""", }, pretty=True, ) self.validate_all( """COPY INTO 's3://example/data.csv' FROM EXTRA.EXAMPLE.TABLE STORAGE_INTEGRATION = S3_INTEGRATION FILE_FORMAT = (TYPE=CSV COMPRESSION=NONE NULL_IF=('') FIELD_OPTIONALLY_ENCLOSED_BY='"') HEADER = TRUE OVERWRITE = TRUE SINGLE = TRUE """, write={ "": """COPY INTO 's3://example/data.csv' FROM EXTRA.EXAMPLE.TABLE STORAGE_INTEGRATION = S3_INTEGRATION WITH (FILE_FORMAT = (TYPE=CSV COMPRESSION=NONE NULL_IF=('') FIELD_OPTIONALLY_ENCLOSED_BY='"'), HEADER TRUE, OVERWRITE TRUE, SINGLE TRUE)""", "snowflake": """COPY INTO 's3://example/data.csv' FROM EXTRA.EXAMPLE.TABLE STORAGE_INTEGRATION = S3_INTEGRATION FILE_FORMAT = (TYPE=CSV COMPRESSION=NONE NULL_IF=('') FIELD_OPTIONALLY_ENCLOSED_BY='"') HEADER = TRUE OVERWRITE = TRUE SINGLE = TRUE""", }, ) copy_ast = parse_one( """COPY INTO 's3://example/contacts.csv' FROM db.tbl STORAGE_INTEGRATION = PROD_S3_SIDETRADE_INTEGRATION FILE_FORMAT = (FORMAT_NAME=my_csv_format TYPE=CSV COMPRESSION=NONE NULL_IF=('') FIELD_OPTIONALLY_ENCLOSED_BY='"') MATCH_BY_COLUMN_NAME = CASE_SENSITIVE OVERWRITE = TRUE SINGLE = TRUE INCLUDE_METADATA = (col1 = METADATA$START_SCAN_TIME)""", read="snowflake", ) self.assertEqual( quote_identifiers(copy_ast, dialect="snowflake").sql(dialect="snowflake"), """COPY INTO 's3://example/contacts.csv' FROM "db"."tbl" STORAGE_INTEGRATION = "PROD_S3_SIDETRADE_INTEGRATION" FILE_FORMAT = (FORMAT_NAME="my_csv_format" TYPE=CSV COMPRESSION=NONE NULL_IF=('') FIELD_OPTIONALLY_ENCLOSED_BY='"') MATCH_BY_COLUMN_NAME = CASE_SENSITIVE OVERWRITE = TRUE SINGLE = TRUE INCLUDE_METADATA = ("col1" = "METADATA$START_SCAN_TIME")""", ) def test_querying_semi_structured_data(self): self.validate_identity("SELECT $1") self.validate_identity("SELECT $1.elem") self.validate_identity("SELECT $1:a.b", "SELECT GET_PATH($1, 'a.b')") self.validate_identity("SELECT t.$23:a.b", "SELECT GET_PATH(t.$23, 'a.b')") self.validate_identity("SELECT t.$17:a[0].b[0].c", "SELECT GET_PATH(t.$17, 'a[0].b[0].c')") def test_alter_set_unset(self): self.validate_identity("ALTER TABLE tbl SET DATA_RETENTION_TIME_IN_DAYS=1") self.validate_identity("ALTER TABLE tbl SET DEFAULT_DDL_COLLATION='test'") self.validate_identity("ALTER TABLE foo SET COMMENT='bar'") self.validate_identity("ALTER TABLE foo SET CHANGE_TRACKING=FALSE") self.validate_identity("ALTER TABLE table1 SET TAG foo.bar = 'baz'") self.validate_identity("ALTER TABLE IF EXISTS foo SET TAG a = 'a', b = 'b', c = 'c'") self.validate_identity( """ALTER TABLE tbl SET STAGE_FILE_FORMAT = (TYPE=CSV FIELD_DELIMITER='|' NULL_IF=('') FIELD_OPTIONALLY_ENCLOSED_BY='"' TIMESTAMP_FORMAT='TZHTZM YYYY-MM-DD HH24:MI:SS.FF9' DATE_FORMAT='TZHTZM YYYY-MM-DD HH24:MI:SS.FF9' BINARY_FORMAT=BASE64)""", ) self.validate_identity( """ALTER TABLE tbl SET STAGE_COPY_OPTIONS = (ON_ERROR=SKIP_FILE SIZE_LIMIT=5 PURGE=TRUE MATCH_BY_COLUMN_NAME=CASE_SENSITIVE)""" ) self.validate_identity("ALTER TABLE foo UNSET TAG a, b, c") self.validate_identity("ALTER TABLE foo UNSET DATA_RETENTION_TIME_IN_DAYS, CHANGE_TRACKING")