from unittest import mock from sqlglot import ( ErrorLevel, ParseError, TokenError, UnsupportedError, parse, transpile, ) from sqlglot.helper import logger as helper_logger from sqlglot.parser import logger as parser_logger from tests.dialects.test_dialect import Validator class TestBigQuery(Validator): dialect = "bigquery" maxDiff = None def test_bigquery(self): self.validate_identity( "create or replace view test (tenant_id OPTIONS(description='Test description on table creation')) select 1 as tenant_id, 1 as customer_id;", "CREATE OR REPLACE VIEW test (tenant_id OPTIONS (description='Test description on table creation')) AS SELECT 1 AS tenant_id, 1 AS customer_id", ) with self.assertLogs(helper_logger) as cm: statements = parse( """ BEGIN DECLARE 1; IF from_date IS NULL THEN SET x = 1; END IF; END """, read="bigquery", ) self.assertIn("unsupported syntax", cm.output[0]) for actual, expected in zip( statements, ("BEGIN DECLARE 1", "IF from_date IS NULL THEN SET x = 1", "END IF", "END") ): self.assertEqual(actual.sql(dialect="bigquery"), expected) with self.assertLogs(helper_logger) as cm: self.validate_identity( "SELECT * FROM t AS t(c1, c2)", "SELECT * FROM t AS t", ) self.assertEqual( cm.output, ["WARNING:sqlglot:Named columns are not supported in table alias."] ) with self.assertLogs(helper_logger) as cm: self.validate_all( "SELECT a[1], b[OFFSET(1)], c[ORDINAL(1)], d[SAFE_OFFSET(1)], e[SAFE_ORDINAL(1)]", write={ "duckdb": "SELECT a[2], b[2], c[1], d[2], e[1]", "bigquery": "SELECT a[1], b[OFFSET(1)], c[ORDINAL(1)], d[SAFE_OFFSET(1)], e[SAFE_ORDINAL(1)]", "presto": "SELECT a[2], b[2], c[1], ELEMENT_AT(d, 2), ELEMENT_AT(e, 1)", }, ) self.validate_all( "a[0]", read={ "duckdb": "a[1]", "presto": "a[1]", }, ) self.validate_identity( "select array_contains([1, 2, 3], 1)", "SELECT EXISTS(SELECT 1 FROM UNNEST([1, 2, 3]) AS _col WHERE _col = 1)", ) self.validate_identity("CREATE SCHEMA x DEFAULT COLLATE 'en'") self.validate_identity("CREATE TABLE x (y INT64) DEFAULT COLLATE 'en'") self.validate_identity("PARSE_JSON('{}', wide_number_mode => 'exact')") with self.assertRaises(TokenError): transpile("'\\'", read="bigquery") # Reference: https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#set_operators with self.assertRaises(UnsupportedError): transpile( "SELECT * FROM a INTERSECT ALL SELECT * FROM b", write="bigquery", unsupported_level=ErrorLevel.RAISE, ) with self.assertRaises(UnsupportedError): transpile( "SELECT * FROM a EXCEPT ALL SELECT * FROM b", write="bigquery", unsupported_level=ErrorLevel.RAISE, ) with self.assertRaises(ParseError): transpile("SELECT * FROM UNNEST(x) AS x(y)", read="bigquery") with self.assertRaises(ParseError): transpile("DATE_ADD(x, day)", read="bigquery") with self.assertLogs(parser_logger) as cm: for_in_stmts = parse( "FOR record IN (SELECT word FROM shakespeare) DO SELECT record.word; END FOR;", read="bigquery", ) self.assertEqual( [s.sql(dialect="bigquery") for s in for_in_stmts], ["FOR record IN (SELECT word FROM shakespeare) DO SELECT record.word", "END FOR"], ) assert "'END FOR'" in cm.output[0] self.validate_identity("SELECT * FROM dataset.my_table TABLESAMPLE SYSTEM (10 PERCENT)") self.validate_identity("TIME('2008-12-25 15:30:00+08')") self.validate_identity("TIME('2008-12-25 15:30:00+08', 'America/Los_Angeles')") self.validate_identity("SELECT test.Unknown FROM test") self.validate_identity(r"SELECT '\n\r\a\v\f\t'") self.validate_identity("SELECT * FROM tbl FOR SYSTEM_TIME AS OF z") self.validate_identity("STRING_AGG(DISTINCT a ORDER BY b DESC, c DESC LIMIT 10)") self.validate_identity("SELECT PARSE_TIMESTAMP('%c', 'Thu Dec 25 07:30:00 2008', 'UTC')") self.validate_identity("SELECT ANY_VALUE(fruit HAVING MAX sold) FROM fruits") self.validate_identity("SELECT ANY_VALUE(fruit HAVING MIN sold) FROM fruits") self.validate_identity("SELECT `project-id`.udfs.func(call.dir)") self.validate_identity("SELECT CAST(CURRENT_DATE AS STRING FORMAT 'DAY') AS current_day") self.validate_identity("SAFE_CAST(encrypted_value AS STRING FORMAT 'BASE64')") self.validate_identity("CAST(encrypted_value AS STRING FORMAT 'BASE64')") self.validate_identity("CAST(STRUCT(1) AS STRUCT)") self.validate_identity("STRING_AGG(a)") self.validate_identity("STRING_AGG(a, ' & ')") self.validate_identity("STRING_AGG(DISTINCT a, ' & ')") self.validate_identity("STRING_AGG(a, ' & ' ORDER BY LENGTH(a))") self.validate_identity("DATE(2016, 12, 25)") self.validate_identity("DATE(CAST('2016-12-25 23:59:59' AS DATETIME))") self.validate_identity("SELECT foo IN UNNEST(bar) AS bla") self.validate_identity("SELECT * FROM x-0.a") self.validate_identity("SELECT * FROM pivot CROSS JOIN foo") self.validate_identity("SAFE_CAST(x AS STRING)") self.validate_identity("SELECT * FROM a-b-c.mydataset.mytable") self.validate_identity("SELECT * FROM abc-def-ghi") self.validate_identity("SELECT * FROM a-b-c") self.validate_identity("SELECT * FROM my-table") self.validate_identity("SELECT * FROM my-project.mydataset.mytable") self.validate_identity("SELECT * FROM pro-ject_id.c.d CROSS JOIN foo-bar") self.validate_identity("SELECT * FROM foo.bar.25", "SELECT * FROM foo.bar.`25`") self.validate_identity("SELECT * FROM foo.bar.25_", "SELECT * FROM foo.bar.`25_`") self.validate_identity("SELECT * FROM foo.bar.25x a", "SELECT * FROM foo.bar.`25x` AS a") self.validate_identity("SELECT * FROM foo.bar.25ab c", "SELECT * FROM foo.bar.`25ab` AS c") self.validate_identity("x <> ''") self.validate_identity("DATE_TRUNC(col, WEEK(MONDAY))") self.validate_identity("SELECT b'abc'") self.validate_identity("""SELECT * FROM UNNEST(ARRAY>[])""") self.validate_identity("SELECT AS STRUCT 1 AS a, 2 AS b") self.validate_identity("SELECT DISTINCT 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>(['2023-01-17'])") self.validate_identity("SELECT STRUCT((SELECT a FROM b.c LIMIT 1)).*") self.validate_identity("SELECT * FROM q UNPIVOT(values FOR quarter IN (b, c))") self.validate_identity("""CREATE TABLE x (a STRUCT>)""") self.validate_identity("""CREATE TABLE x (a STRUCT)""") self.validate_identity("CAST(x AS TIMESTAMP)") self.validate_identity("REGEXP_EXTRACT(`foo`, 'bar: (.+?)', 1, 1)") self.validate_identity("BEGIN DECLARE y INT64", check_command_warning=True) self.validate_identity("BEGIN TRANSACTION") self.validate_identity("COMMIT TRANSACTION") self.validate_identity("ROLLBACK TRANSACTION") self.validate_identity("CAST(x AS BIGNUMERIC)") self.validate_identity("SELECT y + 1 FROM x GROUP BY y + 1 ORDER BY 1") self.validate_identity("SELECT TIMESTAMP_SECONDS(2) AS t") self.validate_identity("SELECT TIMESTAMP_MILLIS(2) AS t") self.validate_identity("""SELECT JSON_EXTRACT_SCALAR('{"a": 5}', '$.a')""") self.validate_identity( "FOR record IN (SELECT word, word_count FROM bigquery-public-data.samples.shakespeare LIMIT 5) DO SELECT record.word, record.word_count" ) self.validate_identity( "DATE(CAST('2016-12-25 05:30:00+07' AS DATETIME), 'America/Los_Angeles')" ) self.validate_identity( """CREATE TABLE x (a STRING OPTIONS (description='x')) OPTIONS (table_expiration_days=1)""" ) self.validate_identity( "SELECT * FROM (SELECT * FROM `t`) AS a UNPIVOT((c) FOR c_name IN (v1, v2))" ) self.validate_identity( "CREATE TABLE IF NOT EXISTS foo AS SELECT * FROM bla EXCEPT DISTINCT (SELECT * FROM bar) LIMIT 0" ) self.validate_identity( "SELECT ROW() OVER (y ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING) FROM x WINDOW y AS (PARTITION BY CATEGORY)" ) self.validate_identity( "SELECT item, purchases, LAST_VALUE(item) OVER (item_window ROWS BETWEEN 2 PRECEDING AND 2 FOLLOWING) AS most_popular FROM Produce WINDOW item_window AS (ORDER BY purchases)" ) self.validate_identity( "SELECT LAST_VALUE(a IGNORE NULLS) OVER y FROM x WINDOW y AS (PARTITION BY CATEGORY)", ) self.validate_identity( """SELECT JSON_EXTRACT_SCALAR('5')""", """SELECT JSON_EXTRACT_SCALAR('5', '$')""" ) self.validate_identity( "SELECT SPLIT(foo)", "SELECT SPLIT(foo, ',')", ) self.validate_identity( "SELECT 1 AS hash", "SELECT 1 AS `hash`", ) self.validate_identity( "SELECT 1 AS at", "SELECT 1 AS `at`", ) self.validate_identity( 'x <> ""', "x <> ''", ) self.validate_identity( 'x <> """"""', "x <> ''", ) self.validate_identity( "x <> ''''''", "x <> ''", ) self.validate_identity( "SELECT a overlaps", "SELECT a AS overlaps", ) self.validate_identity( "SELECT y + 1 z FROM x GROUP BY y + 1 ORDER BY z", "SELECT y + 1 AS z FROM x GROUP BY z ORDER BY z", ) self.validate_identity( "SELECT y + 1 z FROM x GROUP BY y + 1", "SELECT y + 1 AS z FROM x GROUP BY y + 1", ) self.validate_identity( """SELECT JSON '"foo"' AS json_data""", """SELECT PARSE_JSON('"foo"') AS json_data""", ) self.validate_identity( "CREATE OR REPLACE TABLE `a.b.c` CLONE `a.b.d`", "CREATE OR REPLACE TABLE a.b.c CLONE a.b.d", ) self.validate_identity( "SELECT * FROM UNNEST(x) WITH OFFSET EXCEPT DISTINCT SELECT * FROM UNNEST(y) WITH OFFSET", "SELECT * FROM UNNEST(x) WITH OFFSET AS offset EXCEPT DISTINCT SELECT * FROM UNNEST(y) WITH OFFSET AS offset", ) self.validate_all( "SELECT * FROM Produce UNPIVOT((first_half_sales, second_half_sales) FOR semesters IN ((Q1, Q2) AS 'semester_1', (Q3, Q4) AS 'semester_2'))", read={ "spark": "SELECT * FROM Produce UNPIVOT((first_half_sales, second_half_sales) FOR semesters IN ((Q1, Q2) AS semester_1, (Q3, Q4) AS semester_2))", }, write={ "bigquery": "SELECT * FROM Produce UNPIVOT((first_half_sales, second_half_sales) FOR semesters IN ((Q1, Q2) AS 'semester_1', (Q3, Q4) AS 'semester_2'))", "spark": "SELECT * FROM Produce UNPIVOT((first_half_sales, second_half_sales) FOR semesters IN ((Q1, Q2) AS semester_1, (Q3, Q4) AS semester_2))", }, ) self.validate_all( "SELECT * FROM Produce UNPIVOT((first_half_sales, second_half_sales) FOR semesters IN ((Q1, Q2) AS 1, (Q3, Q4) AS 2))", write={ "bigquery": "SELECT * FROM Produce UNPIVOT((first_half_sales, second_half_sales) FOR semesters IN ((Q1, Q2) AS 1, (Q3, Q4) AS 2))", "spark": "SELECT * FROM Produce UNPIVOT((first_half_sales, second_half_sales) FOR semesters IN ((Q1, Q2) AS `1`, (Q3, Q4) AS `2`))", }, ) self.validate_all( "SELECT UNIX_DATE(DATE '2008-12-25')", write={ "bigquery": "SELECT UNIX_DATE(CAST('2008-12-25' AS DATE))", "duckdb": "SELECT DATE_DIFF('DAY', CAST('1970-01-01' AS DATE), CAST('2008-12-25' AS DATE))", }, ) self.validate_all( "SELECT LAST_DAY(CAST('2008-11-25' AS DATE), MONTH)", read={ "snowflake": "SELECT LAST_DAY(CAST('2008-11-25' AS DATE), MONS)", }, write={ "bigquery": "SELECT LAST_DAY(CAST('2008-11-25' AS DATE), MONTH)", "duckdb": "SELECT LAST_DAY(CAST('2008-11-25' AS DATE))", "clickhouse": "SELECT LAST_DAY(CAST('2008-11-25' AS DATE))", "mysql": "SELECT LAST_DAY(CAST('2008-11-25' AS DATE))", "oracle": "SELECT LAST_DAY(CAST('2008-11-25' AS DATE))", "postgres": "SELECT CAST(DATE_TRUNC('MONTH', CAST('2008-11-25' AS DATE)) + INTERVAL '1 MONTH' - INTERVAL '1 DAY' AS DATE)", "presto": "SELECT LAST_DAY_OF_MONTH(CAST('2008-11-25' AS DATE))", "redshift": "SELECT LAST_DAY(CAST('2008-11-25' AS DATE))", "snowflake": "SELECT LAST_DAY(CAST('2008-11-25' AS DATE), MONTH)", "spark": "SELECT LAST_DAY(CAST('2008-11-25' AS DATE))", "tsql": "SELECT EOMONTH(CAST('2008-11-25' AS DATE))", }, ) self.validate_all( "SELECT LAST_DAY(CAST('2008-11-25' AS DATE), QUARTER)", read={ "snowflake": "SELECT LAST_DAY(CAST('2008-11-25' AS DATE), QUARTER)", }, write={ "duckdb": UnsupportedError, "bigquery": "SELECT LAST_DAY(CAST('2008-11-25' AS DATE), QUARTER)", "snowflake": "SELECT LAST_DAY(CAST('2008-11-25' AS DATE), QUARTER)", }, ) self.validate_all( "CAST(x AS DATETIME)", read={ "": "x::timestamp", }, ) self.validate_all( "SELECT TIME(15, 30, 00)", read={ "duckdb": "SELECT MAKE_TIME(15, 30, 00)", "mysql": "SELECT MAKETIME(15, 30, 00)", "postgres": "SELECT MAKE_TIME(15, 30, 00)", "snowflake": "SELECT TIME_FROM_PARTS(15, 30, 00)", }, write={ "bigquery": "SELECT TIME(15, 30, 00)", "duckdb": "SELECT MAKE_TIME(15, 30, 00)", "mysql": "SELECT MAKETIME(15, 30, 00)", "postgres": "SELECT MAKE_TIME(15, 30, 00)", "snowflake": "SELECT TIME_FROM_PARTS(15, 30, 00)", "tsql": "SELECT TIMEFROMPARTS(15, 30, 00, 0, 0)", }, ) self.validate_all( "SELECT TIME('2008-12-25 15:30:00')", write={ "bigquery": "SELECT TIME('2008-12-25 15:30:00')", "duckdb": "SELECT CAST('2008-12-25 15:30:00' AS TIME)", "mysql": "SELECT CAST('2008-12-25 15:30:00' AS TIME)", "postgres": "SELECT CAST('2008-12-25 15:30:00' AS TIME)", "redshift": "SELECT CAST('2008-12-25 15:30:00' AS TIME)", "spark": "SELECT CAST('2008-12-25 15:30:00' AS TIMESTAMP)", "tsql": "SELECT CAST('2008-12-25 15:30:00' AS TIME)", }, ) self.validate_all( "SELECT FORMAT_DATE('%Y%m%d', '2023-12-25')", write={ "bigquery": "SELECT FORMAT_DATE('%Y%m%d', '2023-12-25')", "duckdb": "SELECT STRFTIME(CAST('2023-12-25' AS DATE), '%Y%m%d')", }, ) self.validate_all( "SELECT COUNTIF(x)", read={ "clickhouse": "SELECT countIf(x)", "duckdb": "SELECT COUNT_IF(x)", }, write={ "bigquery": "SELECT COUNTIF(x)", "clickhouse": "SELECT countIf(x)", "duckdb": "SELECT COUNT_IF(x)", }, ) self.validate_all( "SELECT TIMESTAMP_DIFF(TIMESTAMP_SECONDS(60), TIMESTAMP_SECONDS(0), minute)", write={ "bigquery": "SELECT TIMESTAMP_DIFF(TIMESTAMP_SECONDS(60), TIMESTAMP_SECONDS(0), MINUTE)", "duckdb": "SELECT DATE_DIFF('MINUTE', TO_TIMESTAMP(0), TO_TIMESTAMP(60))", "snowflake": "SELECT TIMESTAMPDIFF(MINUTE, TO_TIMESTAMP(0), TO_TIMESTAMP(60))", }, ) self.validate_all( "SELECT TIMESTAMP_MICROS(x)", read={ "duckdb": "SELECT MAKE_TIMESTAMP(x)", "spark": "SELECT TIMESTAMP_MICROS(x)", }, write={ "bigquery": "SELECT TIMESTAMP_MICROS(x)", "duckdb": "SELECT MAKE_TIMESTAMP(x)", "snowflake": "SELECT TO_TIMESTAMP(x, 6)", "spark": "SELECT TIMESTAMP_MICROS(x)", }, ) self.validate_all( "SELECT * FROM t WHERE EXISTS(SELECT * FROM unnest(nums) AS x WHERE x > 1)", write={ "bigquery": "SELECT * FROM t WHERE EXISTS(SELECT * FROM UNNEST(nums) AS x WHERE x > 1)", "duckdb": "SELECT * FROM t WHERE EXISTS(SELECT * FROM UNNEST(nums) AS _t(x) WHERE x > 1)", }, ) self.validate_identity("UPDATE x SET y = NULL") self.validate_all( "NULL", read={ "duckdb": "NULL = a", "postgres": "a = NULL", }, ) self.validate_all( "SELECT '\\n'", read={ "bigquery": "SELECT '''\n'''", }, write={ "bigquery": "SELECT '\\n'", "postgres": "SELECT '\n'", }, ) self.validate_all( "TRIM(item, '*')", read={ "snowflake": "TRIM(item, '*')", "spark": "TRIM('*', item)", }, write={ "bigquery": "TRIM(item, '*')", "snowflake": "TRIM(item, '*')", "spark": "TRIM('*' FROM item)", }, ) self.validate_all( "CREATE OR REPLACE TABLE `a.b.c` COPY `a.b.d`", write={ "bigquery": "CREATE OR REPLACE TABLE a.b.c COPY a.b.d", "snowflake": "CREATE OR REPLACE TABLE a.b.c CLONE a.b.d", }, ) self.validate_all( "SELECT DATETIME_DIFF('2023-01-01T00:00:00', '2023-01-01T05:00:00', MILLISECOND)", write={ "bigquery": "SELECT DATETIME_DIFF('2023-01-01T00:00:00', '2023-01-01T05:00:00', MILLISECOND)", "databricks": "SELECT TIMESTAMPDIFF(MILLISECOND, '2023-01-01T05:00:00', '2023-01-01T00:00:00')", }, ), self.validate_all( "SELECT DATETIME_ADD('2023-01-01T00:00:00', INTERVAL 1 MILLISECOND)", write={ "bigquery": "SELECT DATETIME_ADD('2023-01-01T00:00:00', INTERVAL 1 MILLISECOND)", "databricks": "SELECT TIMESTAMPADD(MILLISECOND, 1, '2023-01-01T00:00:00')", }, ), self.validate_all( "SELECT DATETIME_SUB('2023-01-01T00:00:00', INTERVAL 1 MILLISECOND)", write={ "bigquery": "SELECT DATETIME_SUB('2023-01-01T00:00:00', INTERVAL 1 MILLISECOND)", "databricks": "SELECT TIMESTAMPADD(MILLISECOND, 1 * -1, '2023-01-01T00:00:00')", }, ), self.validate_all( "SELECT DATETIME_TRUNC('2023-01-01T01:01:01', HOUR)", write={ "bigquery": "SELECT DATETIME_TRUNC('2023-01-01T01:01:01', HOUR)", "databricks": "SELECT DATE_TRUNC('HOUR', '2023-01-01T01:01:01')", }, ), 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("CAST(x AS TIMESTAMPTZ)", write={"bigquery": "CAST(x AS TIMESTAMP)"}) self.validate_all("CAST(x AS RECORD)", write={"bigquery": "CAST(x AS STRUCT)"}) self.validate_all( 'SELECT TIMESTAMP_ADD(TIMESTAMP "2008-12-25 15:30:00+00", INTERVAL 10 MINUTE)', write={ "bigquery": "SELECT TIMESTAMP_ADD(CAST('2008-12-25 15:30:00+00' AS TIMESTAMP), INTERVAL 10 MINUTE)", "databricks": "SELECT DATEADD(MINUTE, 10, CAST('2008-12-25 15:30:00+00' AS TIMESTAMP))", "mysql": "SELECT DATE_ADD(TIMESTAMP('2008-12-25 15:30:00+00'), INTERVAL 10 MINUTE)", "spark": "SELECT DATEADD(MINUTE, 10, CAST('2008-12-25 15:30:00+00' AS TIMESTAMP))", }, ) self.validate_all( 'SELECT TIMESTAMP_SUB(TIMESTAMP "2008-12-25 15:30:00+00", INTERVAL 10 MINUTE)', write={ "bigquery": "SELECT TIMESTAMP_SUB(CAST('2008-12-25 15:30:00+00' AS TIMESTAMP), INTERVAL 10 MINUTE)", "mysql": "SELECT DATE_SUB(TIMESTAMP('2008-12-25 15:30:00+00'), INTERVAL 10 MINUTE)", }, ) self.validate_all( "MD5(x)", write={ "": "MD5_DIGEST(x)", "bigquery": "MD5(x)", "hive": "UNHEX(MD5(x))", "spark": "UNHEX(MD5(x))", }, ) self.validate_all( "SELECT TO_HEX(MD5(some_string))", read={ "duckdb": "SELECT MD5(some_string)", "spark": "SELECT MD5(some_string)", }, write={ "": "SELECT MD5(some_string)", "bigquery": "SELECT TO_HEX(MD5(some_string))", "duckdb": "SELECT MD5(some_string)", }, ) self.validate_all( "SHA256(x)", write={ "bigquery": "SHA256(x)", "spark2": "SHA2(x, 256)", }, ) self.validate_all( "SHA512(x)", write={ "bigquery": "SHA512(x)", "spark2": "SHA2(x, 512)", }, ) self.validate_all( "SELECT CAST('20201225' AS TIMESTAMP FORMAT 'YYYYMMDD' AT TIME ZONE 'America/New_York')", write={"bigquery": "SELECT PARSE_TIMESTAMP('%Y%m%d', '20201225', 'America/New_York')"}, ) self.validate_all( "SELECT CAST('20201225' AS TIMESTAMP FORMAT 'YYYYMMDD')", write={"bigquery": "SELECT PARSE_TIMESTAMP('%Y%m%d', '20201225')"}, ) self.validate_all( "SELECT CAST(TIMESTAMP '2008-12-25 00:00:00+00:00' AS STRING FORMAT 'YYYY-MM-DD HH24:MI:SS TZH:TZM') AS date_time_to_string", write={ "bigquery": "SELECT CAST(CAST('2008-12-25 00:00:00+00:00' AS TIMESTAMP) AS STRING FORMAT 'YYYY-MM-DD HH24:MI:SS TZH:TZM') AS date_time_to_string", }, ) self.validate_all( "SELECT CAST(TIMESTAMP '2008-12-25 00:00:00+00:00' AS STRING FORMAT 'YYYY-MM-DD HH24:MI:SS TZH:TZM' AT TIME ZONE 'Asia/Kolkata') AS date_time_to_string", write={ "bigquery": "SELECT CAST(CAST('2008-12-25 00:00:00+00:00' AS TIMESTAMP) AS STRING FORMAT 'YYYY-MM-DD HH24:MI:SS TZH:TZM' AT TIME ZONE 'Asia/Kolkata') AS date_time_to_string", }, ) self.validate_all( "WITH cte AS (SELECT [1, 2, 3] AS arr) SELECT IF(pos = pos_2, col, NULL) AS col FROM cte CROSS JOIN UNNEST(GENERATE_ARRAY(0, GREATEST(ARRAY_LENGTH(arr)) - 1)) AS pos CROSS JOIN UNNEST(arr) AS col WITH OFFSET AS pos_2 WHERE pos = pos_2 OR (pos > (ARRAY_LENGTH(arr) - 1) AND pos_2 = (ARRAY_LENGTH(arr) - 1))", read={ "spark": "WITH cte AS (SELECT ARRAY(1, 2, 3) AS arr) SELECT EXPLODE(arr) FROM cte" }, ) self.validate_all( "SELECT AS STRUCT ARRAY(SELECT AS STRUCT b FROM x) AS y FROM z", write={ "": "SELECT AS STRUCT ARRAY(SELECT AS STRUCT b FROM x) AS y FROM z", "bigquery": "SELECT AS STRUCT ARRAY(SELECT AS STRUCT b FROM x) AS y FROM z", "duckdb": "SELECT {'y': ARRAY(SELECT {'b': b} FROM x)} FROM z", }, ) self.validate_all( "cast(x as date format 'MM/DD/YYYY')", write={ "bigquery": "PARSE_DATE('%m/%d/%Y', x)", }, ) self.validate_all( "cast(x as time format 'YYYY.MM.DD HH:MI:SSTZH')", write={ "bigquery": "PARSE_TIMESTAMP('%Y.%m.%d %I:%M:%S%z', x)", }, ) self.validate_all( "CREATE TEMP TABLE foo AS SELECT 1", write={"bigquery": "CREATE TEMPORARY TABLE foo AS SELECT 1"}, ) self.validate_all( "SELECT * FROM `SOME_PROJECT_ID.SOME_DATASET_ID.INFORMATION_SCHEMA.SOME_VIEW`", write={ "bigquery": "SELECT * FROM SOME_PROJECT_ID.SOME_DATASET_ID.INFORMATION_SCHEMA.SOME_VIEW", }, ) self.validate_all( "SELECT * FROM `my-project.my-dataset.my-table`", write={"bigquery": "SELECT * FROM `my-project`.`my-dataset`.`my-table`"}, ) 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_identity( r"REGEXP_EXTRACT(svc_plugin_output, r'\\\((.*)')", r"REGEXP_EXTRACT(svc_plugin_output, '\\\\\\((.*)')", ) self.validate_all( "REGEXP_CONTAINS('foo', '.*')", read={ "bigquery": "REGEXP_CONTAINS('foo', '.*')", "mysql": "REGEXP_LIKE('foo', '.*')", "starrocks": "REGEXP('foo', '.*')", }, write={ "mysql": "REGEXP_LIKE('foo', '.*')", "starrocks": "REGEXP('foo', '.*')", }, ) self.validate_all( '"""x"""', write={ "bigquery": "'x'", "duckdb": "'x'", "presto": "'x'", "hive": "'x'", "spark": "'x'", }, ) self.validate_all( '"""x\'"""', write={ "bigquery": "'x\\''", "duckdb": "'x'''", "presto": "'x'''", "hive": "'x\\''", "spark": "'x\\''", }, ) self.validate_all( "r'x\\''", write={ "bigquery": "'x\\''", "hive": "'x\\''", }, ) self.validate_all( "r'x\\y'", write={ "bigquery": "'x\\\\y'", "hive": "'x\\\\y'", }, ) self.validate_all( "'\\\\'", write={ "bigquery": r"'\\'", "duckdb": r"'\\'", "presto": r"'\\'", "hive": r"'\\'", }, ) self.validate_all( r'r"""/\*.*\*/"""', write={ "bigquery": r"'/\\*.*\\*/'", "duckdb": r"'/\\*.*\\*/'", "presto": r"'/\\*.*\\*/'", "hive": r"'/\\*.*\\*/'", "spark": r"'/\\*.*\\*/'", }, ) self.validate_all( r'R"""/\*.*\*/"""', write={ "bigquery": r"'/\\*.*\\*/'", "duckdb": r"'/\\*.*\\*/'", "presto": r"'/\\*.*\\*/'", "hive": r"'/\\*.*\\*/'", "spark": r"'/\\*.*\\*/'", }, ) self.validate_all( 'r"""a\n"""', write={ "bigquery": "'a\\n'", "duckdb": "'a\n'", }, ) self.validate_all( '"""a\n"""', write={ "bigquery": "'a\\n'", "duckdb": "'a\n'", }, ) self.validate_all( "CAST(a AS INT64)", write={ "bigquery": "CAST(a AS INT64)", "duckdb": "CAST(a AS BIGINT)", "presto": "CAST(a AS BIGINT)", "hive": "CAST(a AS BIGINT)", "spark": "CAST(a AS BIGINT)", }, ) self.validate_all( "CAST(a AS BYTES)", write={ "bigquery": "CAST(a AS BYTES)", "duckdb": "CAST(a AS BLOB)", "presto": "CAST(a AS VARBINARY)", "hive": "CAST(a AS BINARY)", "spark": "CAST(a AS BINARY)", }, ) self.validate_all( "CAST(a AS NUMERIC)", write={ "bigquery": "CAST(a AS NUMERIC)", "duckdb": "CAST(a AS DECIMAL)", "presto": "CAST(a AS DECIMAL)", "hive": "CAST(a AS DECIMAL)", "spark": "CAST(a AS DECIMAL)", }, ) self.validate_all( "[1, 2, 3]", read={ "duckdb": "[1, 2, 3]", "presto": "ARRAY[1, 2, 3]", "hive": "ARRAY(1, 2, 3)", "spark": "ARRAY(1, 2, 3)", }, write={ "bigquery": "[1, 2, 3]", "duckdb": "[1, 2, 3]", "presto": "ARRAY[1, 2, 3]", "hive": "ARRAY(1, 2, 3)", "spark": "ARRAY(1, 2, 3)", }, ) self.validate_all( "SELECT * FROM UNNEST(['7', '14']) AS x", read={ "spark": "SELECT * FROM UNNEST(ARRAY('7', '14')) AS (x)", }, write={ "bigquery": "SELECT * FROM UNNEST(['7', '14']) AS x", "presto": "SELECT * FROM UNNEST(ARRAY['7', '14']) AS _t(x)", "spark": "SELECT * FROM UNNEST(ARRAY('7', '14')) AS _t(x)", }, ) self.validate_all( "SELECT ARRAY(SELECT x FROM UNNEST([0, 1]) AS x)", write={"bigquery": "SELECT ARRAY(SELECT x FROM UNNEST([0, 1]) AS x)"}, ) self.validate_all( "SELECT ARRAY(SELECT DISTINCT x FROM UNNEST(some_numbers) AS x) AS unique_numbers", write={ "bigquery": "SELECT ARRAY(SELECT DISTINCT x FROM UNNEST(some_numbers) AS x) AS unique_numbers" }, ) self.validate_all( "SELECT ARRAY(SELECT * FROM foo JOIN bla ON x = y)", write={"bigquery": "SELECT ARRAY(SELECT * FROM foo JOIN bla ON x = y)"}, ) self.validate_all( "x IS unknown", write={ "bigquery": "x IS NULL", "duckdb": "x IS NULL", "presto": "x IS NULL", "hive": "x IS NULL", "spark": "x IS NULL", }, ) self.validate_all( "x IS NOT unknown", write={ "bigquery": "NOT x IS NULL", "duckdb": "NOT x IS NULL", "presto": "NOT x IS NULL", "hive": "NOT x IS NULL", "spark": "NOT x IS NULL", }, ) self.validate_all( "CURRENT_TIMESTAMP()", read={ "tsql": "GETDATE()", }, write={ "tsql": "GETDATE()", }, ) self.validate_all( "current_datetime", write={ "bigquery": "CURRENT_DATETIME()", "presto": "CURRENT_DATETIME()", "hive": "CURRENT_DATETIME()", "spark": "CURRENT_DATETIME()", }, ) self.validate_all( "current_time", write={ "bigquery": "CURRENT_TIME()", "duckdb": "CURRENT_TIME", "presto": "CURRENT_TIME()", "hive": "CURRENT_TIME()", "spark": "CURRENT_TIME()", }, ) self.validate_all( "CURRENT_TIMESTAMP", write={ "bigquery": "CURRENT_TIMESTAMP()", "duckdb": "CURRENT_TIMESTAMP", "postgres": "CURRENT_TIMESTAMP", "presto": "CURRENT_TIMESTAMP", "hive": "CURRENT_TIMESTAMP()", "spark": "CURRENT_TIMESTAMP()", }, ) self.validate_all( "CURRENT_TIMESTAMP()", write={ "bigquery": "CURRENT_TIMESTAMP()", "duckdb": "CURRENT_TIMESTAMP", "postgres": "CURRENT_TIMESTAMP", "presto": "CURRENT_TIMESTAMP", "hive": "CURRENT_TIMESTAMP()", "spark": "CURRENT_TIMESTAMP()", }, ) self.validate_all( "DIV(x, y)", write={ "bigquery": "DIV(x, y)", "duckdb": "x // y", }, ) self.validate_all( "CREATE TABLE db.example_table (col_a struct)", write={ "bigquery": "CREATE TABLE db.example_table (col_a STRUCT)", "duckdb": "CREATE TABLE db.example_table (col_a STRUCT(struct_col_a INT, struct_col_b TEXT))", "presto": "CREATE TABLE db.example_table (col_a ROW(struct_col_a INTEGER, struct_col_b VARCHAR))", "hive": "CREATE TABLE db.example_table (col_a STRUCT)", "spark": "CREATE TABLE db.example_table (col_a STRUCT)", }, ) self.validate_all( "CREATE TABLE db.example_table (col_a STRUCT>)", write={ "bigquery": "CREATE TABLE db.example_table (col_a STRUCT>)", "duckdb": "CREATE TABLE db.example_table (col_a STRUCT(struct_col_a BIGINT, struct_col_b STRUCT(nested_col_a TEXT, nested_col_b TEXT)))", "presto": "CREATE TABLE db.example_table (col_a ROW(struct_col_a BIGINT, struct_col_b ROW(nested_col_a VARCHAR, nested_col_b VARCHAR)))", "hive": "CREATE TABLE db.example_table (col_a STRUCT>)", "spark": "CREATE TABLE db.example_table (col_a STRUCT>)", }, ) self.validate_all( "CREATE TABLE db.example_table (x int) PARTITION BY x cluster by x", write={ "bigquery": "CREATE TABLE db.example_table (x INT64) PARTITION BY x CLUSTER BY x", }, ) self.validate_all( "SELECT * FROM a WHERE b IN UNNEST([1, 2, 3])", write={ "bigquery": "SELECT * FROM a WHERE b IN UNNEST([1, 2, 3])", "mysql": "SELECT * FROM a WHERE b IN (SELECT UNNEST(ARRAY(1, 2, 3)))", "presto": "SELECT * FROM a WHERE b IN (SELECT UNNEST(ARRAY[1, 2, 3]))", "hive": "SELECT * FROM a WHERE b IN (SELECT UNNEST(ARRAY(1, 2, 3)))", "spark": "SELECT * FROM a WHERE b IN (SELECT UNNEST(ARRAY(1, 2, 3)))", }, ) self.validate_all( "DATE_SUB(CURRENT_DATE(), INTERVAL 1 DAY)", write={ "postgres": "CURRENT_DATE - INTERVAL '1 DAY'", "bigquery": "DATE_SUB(CURRENT_DATE, INTERVAL 1 DAY)", }, ) self.validate_all( "DATE_ADD(CURRENT_DATE(), INTERVAL 1 DAY)", write={ "bigquery": "DATE_ADD(CURRENT_DATE, INTERVAL 1 DAY)", "duckdb": "CURRENT_DATE + INTERVAL 1 DAY", "mysql": "DATE_ADD(CURRENT_DATE, INTERVAL 1 DAY)", "postgres": "CURRENT_DATE + INTERVAL '1 DAY'", "presto": "DATE_ADD('DAY', 1, CURRENT_DATE)", "hive": "DATE_ADD(CURRENT_DATE, 1)", "spark": "DATE_ADD(CURRENT_DATE, 1)", }, ) self.validate_all( "DATE_DIFF(DATE '2010-07-07', DATE '2008-12-25', DAY)", write={ "bigquery": "DATE_DIFF(CAST('2010-07-07' AS DATE), CAST('2008-12-25' AS DATE), DAY)", "mysql": "DATEDIFF(CAST('2010-07-07' AS DATE), CAST('2008-12-25' AS DATE))", "starrocks": "DATE_DIFF('DAY', CAST('2010-07-07' AS DATE), CAST('2008-12-25' AS DATE))", }, ) self.validate_all( "DATE_DIFF(CAST('2010-07-07' AS DATE), CAST('2008-12-25' AS DATE), DAY)", read={ "mysql": "DATEDIFF(CAST('2010-07-07' AS DATE), CAST('2008-12-25' AS DATE))", "starrocks": "DATEDIFF(CAST('2010-07-07' AS DATE), CAST('2008-12-25' AS DATE))", }, ) self.validate_all( "DATE_DIFF(DATE '2010-07-07', DATE '2008-12-25', MINUTE)", write={ "bigquery": "DATE_DIFF(CAST('2010-07-07' AS DATE), CAST('2008-12-25' AS DATE), MINUTE)", "starrocks": "DATE_DIFF('MINUTE', CAST('2010-07-07' AS DATE), CAST('2008-12-25' AS DATE))", }, ) self.validate_all( "CURRENT_DATE('UTC')", write={ "mysql": "CURRENT_DATE AT TIME ZONE 'UTC'", "postgres": "CURRENT_DATE AT TIME ZONE 'UTC'", }, ) self.validate_identity( "SELECT * FROM test QUALIFY a IS DISTINCT FROM b WINDOW c AS (PARTITION BY d)" ) 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 LIMIT 10", "snowflake": "SELECT a FROM test WHERE a = 1 GROUP BY a HAVING a = 2 QUALIFY z ORDER BY a NULLS FIRST LIMIT 10", }, ) self.validate_all( "SELECT cola, colb FROM (VALUES (1, 'test')) AS tab(cola, colb)", write={ "spark": "SELECT cola, colb FROM VALUES (1, 'test') AS tab(cola, colb)", "bigquery": "SELECT cola, colb FROM UNNEST([STRUCT(1 AS cola, 'test' AS colb)])", "snowflake": "SELECT cola, colb FROM (VALUES (1, 'test')) AS tab(cola, colb)", }, ) self.validate_all( "SELECT cola, colb FROM (VALUES (1, 'test')) AS tab", write={ "bigquery": "SELECT cola, colb FROM UNNEST([STRUCT(1 AS _c0, 'test' AS _c1)])", }, ) self.validate_all( "SELECT cola, colb FROM (VALUES (1, 'test'))", write={ "bigquery": "SELECT cola, colb FROM UNNEST([STRUCT(1 AS _c0, 'test' AS _c1)])", }, ) self.validate_all( "SELECT * FROM UNNEST([STRUCT(1 AS id)]) CROSS JOIN UNNEST([STRUCT(1 AS id)])", read={ "postgres": "SELECT * FROM (VALUES (1)) AS t1(id) CROSS JOIN (VALUES (1)) AS t2(id)", }, ) self.validate_all( "SELECT cola, colb, colc FROM (VALUES (1, 'test', NULL)) AS tab(cola, colb, colc)", write={ "spark": "SELECT cola, colb, colc FROM VALUES (1, 'test', NULL) AS tab(cola, colb, colc)", "bigquery": "SELECT cola, colb, colc FROM UNNEST([STRUCT(1 AS cola, 'test' AS colb, NULL AS colc)])", "snowflake": "SELECT cola, colb, colc FROM (VALUES (1, 'test', NULL)) AS tab(cola, colb, colc)", }, ) self.validate_all( "SELECT * FROM (SELECT a, b, c FROM test) PIVOT(SUM(b) d, COUNT(*) e FOR c IN ('x', 'y'))", write={ "bigquery": "SELECT * FROM (SELECT a, b, c FROM test) PIVOT(SUM(b) AS d, COUNT(*) AS e FOR c IN ('x', 'y'))", }, ) self.validate_all( "SELECT REGEXP_EXTRACT(abc, 'pattern(group)') FROM table", write={ "bigquery": "SELECT REGEXP_EXTRACT(abc, 'pattern(group)') FROM table", "duckdb": "SELECT REGEXP_EXTRACT(abc, 'pattern(group)', 1) FROM table", }, ) self.validate_all( "SELECT * FROM UNNEST([1]) WITH OFFSET", write={"bigquery": "SELECT * FROM UNNEST([1]) WITH OFFSET AS offset"}, ) self.validate_all( "SELECT * FROM UNNEST([1]) WITH OFFSET y", write={"bigquery": "SELECT * FROM UNNEST([1]) WITH OFFSET AS y"}, ) self.validate_all( "GENERATE_ARRAY(1, 4)", read={"bigquery": "GENERATE_ARRAY(1, 4)"}, write={"duckdb": "GENERATE_SERIES(1, 4)"}, ) self.validate_all( "TO_JSON_STRING(x)", read={"bigquery": "TO_JSON_STRING(x)"}, write={ "bigquery": "TO_JSON_STRING(x)", "duckdb": "CAST(TO_JSON(x) AS TEXT)", "presto": "JSON_FORMAT(x)", "spark": "TO_JSON(x)", }, ) self.validate_all( """SELECT `u`.`harness_user_email` AS `harness_user_email`, `d`.`harness_user_id` AS `harness_user_id`, `harness_account_id` AS `harness_account_id` FROM `analytics_staging`.`stg_mongodb__users` AS `u`, UNNEST(`u`.`harness_cluster_details`) AS `d`, UNNEST(`d`.`harness_account_ids`) AS `harness_account_id` WHERE NOT `harness_account_id` IS NULL""", read={ "": """ SELECT "u"."harness_user_email" AS "harness_user_email", "_q_0"."d"."harness_user_id" AS "harness_user_id", "_q_1"."harness_account_id" AS "harness_account_id" FROM "analytics_staging"."stg_mongodb__users" AS "u", UNNEST("u"."harness_cluster_details") AS "_q_0"("d"), UNNEST("_q_0"."d"."harness_account_ids") AS "_q_1"("harness_account_id") WHERE NOT "_q_1"."harness_account_id" IS NULL """ }, pretty=True, ) self.validate_identity("LOG(n, b)") def test_user_defined_functions(self): self.validate_identity( "CREATE TEMPORARY FUNCTION a(x FLOAT64, y FLOAT64) RETURNS FLOAT64 NOT DETERMINISTIC LANGUAGE js AS 'return x*y;'" ) self.validate_identity("CREATE TEMPORARY FUNCTION udf(x ANY TYPE) AS (x)") self.validate_identity("CREATE TEMPORARY FUNCTION a(x FLOAT64, y FLOAT64) AS ((x + 4) / y)") self.validate_identity( "CREATE TABLE FUNCTION a(x INT64) RETURNS TABLE AS SELECT s, t" ) self.validate_identity( '''CREATE TEMPORARY FUNCTION string_length_0(strings ARRAY) RETURNS FLOAT64 LANGUAGE js AS """'use strict'; function string_length(strings) { return _.sum(_.map(strings, ((x) => x.length))); } return string_length(strings);""" OPTIONS (library=['gs://ibis-testing-libraries/lodash.min.js'])''', "CREATE TEMPORARY FUNCTION string_length_0(strings ARRAY) RETURNS FLOAT64 LANGUAGE js OPTIONS (library=['gs://ibis-testing-libraries/lodash.min.js']) AS '\\'use strict\\'; function string_length(strings) { return _.sum(_.map(strings, ((x) => x.length))); } return string_length(strings);'", ) def test_group_concat(self): self.validate_all( "SELECT a, GROUP_CONCAT(b) FROM table GROUP BY a", write={"bigquery": "SELECT a, STRING_AGG(b) FROM table GROUP BY a"}, ) def test_remove_precision_parameterized_types(self): self.validate_all( "SELECT CAST(1 AS NUMERIC(10, 2))", write={ "bigquery": "SELECT CAST(1 AS NUMERIC)", }, ) self.validate_all( "CREATE TABLE test (a NUMERIC(10, 2))", write={ "bigquery": "CREATE TABLE test (a NUMERIC(10, 2))", }, ) self.validate_all( "SELECT CAST('1' AS STRING(10)) UNION ALL SELECT CAST('2' AS STRING(10))", write={ "bigquery": "SELECT CAST('1' AS STRING) UNION ALL SELECT CAST('2' AS STRING)", }, ) self.validate_all( "SELECT cola FROM (SELECT CAST('1' AS STRING(10)) AS cola UNION ALL SELECT CAST('2' AS STRING(10)) AS cola)", write={ "bigquery": "SELECT cola FROM (SELECT CAST('1' AS STRING) AS cola UNION ALL SELECT CAST('2' AS STRING) AS cola)", }, ) self.validate_all( "INSERT INTO test (cola, colb) VALUES (CAST(7 AS STRING(10)), CAST(14 AS STRING(10)))", write={ "bigquery": "INSERT INTO test (cola, colb) VALUES (CAST(7 AS STRING), CAST(14 AS STRING))", }, ) def test_models(self): self.validate_identity( "SELECT * FROM ML.PREDICT(MODEL mydataset.mymodel, (SELECT label, column1, column2 FROM mydataset.mytable))" ) self.validate_identity( "SELECT label, predicted_label1, predicted_label AS predicted_label2 FROM ML.PREDICT(MODEL mydataset.mymodel2, (SELECT * EXCEPT (predicted_label), predicted_label AS predicted_label1 FROM ML.PREDICT(MODEL mydataset.mymodel1, TABLE mydataset.mytable)))" ) self.validate_identity( "SELECT * FROM ML.PREDICT(MODEL mydataset.mymodel, (SELECT custom_label, column1, column2 FROM mydataset.mytable), STRUCT(0.55 AS threshold))" ) self.validate_identity( "SELECT * FROM ML.PREDICT(MODEL `my_project`.my_dataset.my_model, (SELECT * FROM input_data))" ) self.validate_identity( "SELECT * FROM ML.PREDICT(MODEL my_dataset.vision_model, (SELECT uri, ML.RESIZE_IMAGE(ML.DECODE_IMAGE(data), 480, 480, FALSE) AS input FROM my_dataset.object_table))" ) self.validate_identity( "SELECT * FROM ML.PREDICT(MODEL my_dataset.vision_model, (SELECT uri, ML.CONVERT_COLOR_SPACE(ML.RESIZE_IMAGE(ML.DECODE_IMAGE(data), 224, 280, TRUE), 'YIQ') AS input FROM my_dataset.object_table WHERE content_type = 'image/jpeg'))" ) self.validate_identity( "CREATE OR REPLACE MODEL foo OPTIONS (model_type='linear_reg') AS SELECT bla FROM foo WHERE cond" ) self.validate_identity( """CREATE OR REPLACE MODEL m TRANSFORM( ML.FEATURE_CROSS(STRUCT(f1, f2)) AS cross_f, ML.QUANTILE_BUCKETIZE(f3) OVER () AS buckets, label_col ) OPTIONS ( model_type='linear_reg', input_label_cols=['label_col'] ) AS SELECT * FROM t""", pretty=True, ) self.validate_identity( """CREATE MODEL project_id.mydataset.mymodel INPUT( f1 INT64, f2 FLOAT64, f3 STRING, f4 ARRAY ) OUTPUT( out1 INT64, out2 INT64 ) REMOTE WITH CONNECTION myproject.us.test_connection OPTIONS ( ENDPOINT='https://us-central1-aiplatform.googleapis.com/v1/projects/myproject/locations/us-central1/endpoints/1234' )""", pretty=True, ) def test_merge(self): self.validate_all( """ MERGE dataset.Inventory T USING dataset.NewArrivals S ON FALSE WHEN NOT MATCHED BY TARGET AND product LIKE '%a%' THEN DELETE WHEN NOT MATCHED BY SOURCE AND product LIKE '%b%' THEN DELETE""", write={ "bigquery": "MERGE INTO dataset.Inventory AS T USING dataset.NewArrivals AS S ON FALSE WHEN NOT MATCHED AND product LIKE '%a%' THEN DELETE WHEN NOT MATCHED BY SOURCE AND product LIKE '%b%' THEN DELETE", "snowflake": "MERGE INTO dataset.Inventory AS T USING dataset.NewArrivals AS S ON FALSE WHEN NOT MATCHED AND product LIKE '%a%' THEN DELETE WHEN NOT MATCHED AND product LIKE '%b%' THEN DELETE", }, ) def test_rename_table(self): self.validate_all( "ALTER TABLE db.t1 RENAME TO db.t2", write={ "snowflake": "ALTER TABLE db.t1 RENAME TO db.t2", "bigquery": "ALTER TABLE db.t1 RENAME TO t2", }, ) @mock.patch("sqlglot.dialects.bigquery.logger") def test_pushdown_cte_column_names(self, logger): with self.assertRaises(UnsupportedError): transpile( "WITH cte(foo) AS (SELECT * FROM tbl) SELECT foo FROM cte", read="spark", write="bigquery", unsupported_level=ErrorLevel.RAISE, ) self.validate_all( "WITH cte AS (SELECT 1 AS foo) SELECT foo FROM cte", read={"spark": "WITH cte(foo) AS (SELECT 1) SELECT foo FROM cte"}, ) self.validate_all( "WITH cte AS (SELECT 1 AS foo) SELECT foo FROM cte", read={"spark": "WITH cte(foo) AS (SELECT 1 AS bar) SELECT foo FROM cte"}, ) self.validate_all( "WITH cte AS (SELECT 1 AS bar) SELECT bar FROM cte", read={"spark": "WITH cte AS (SELECT 1 AS bar) SELECT bar FROM cte"}, ) self.validate_all( "WITH cte AS (SELECT 1 AS foo, 2) SELECT foo FROM cte", read={"postgres": "WITH cte(foo) AS (SELECT 1, 2) SELECT foo FROM cte"}, ) self.validate_all( "WITH cte AS (SELECT 1 AS foo UNION ALL SELECT 2) SELECT foo FROM cte", read={"postgres": "WITH cte(foo) AS (SELECT 1 UNION ALL SELECT 2) SELECT foo FROM cte"}, ) def test_json_object(self): self.validate_identity("SELECT JSON_OBJECT() AS json_data") self.validate_identity("SELECT JSON_OBJECT('foo', 10, 'bar', TRUE) AS json_data") self.validate_identity("SELECT JSON_OBJECT('foo', 10, 'bar', ['a', 'b']) AS json_data") self.validate_identity("SELECT JSON_OBJECT('a', 10, 'a', 'foo') AS json_data") self.validate_identity( "SELECT JSON_OBJECT(['a', 'b'], [10, NULL]) AS json_data", "SELECT JSON_OBJECT('a', 10, 'b', NULL) AS json_data", ) self.validate_identity( """SELECT JSON_OBJECT(['a', 'b'], [JSON '10', JSON '"foo"']) AS json_data""", """SELECT JSON_OBJECT('a', PARSE_JSON('10'), 'b', PARSE_JSON('"foo"')) AS json_data""", ) self.validate_identity( "SELECT JSON_OBJECT(['a', 'b'], [STRUCT(10 AS id, 'Red' AS color), STRUCT(20 AS id, 'Blue' AS color)]) AS json_data", "SELECT JSON_OBJECT('a', STRUCT(10 AS id, 'Red' AS color), 'b', STRUCT(20 AS id, 'Blue' AS color)) AS json_data", ) self.validate_identity( "SELECT JSON_OBJECT(['a', 'b'], [TO_JSON(10), TO_JSON(['foo', 'bar'])]) AS json_data", "SELECT JSON_OBJECT('a', TO_JSON(10), 'b', TO_JSON(['foo', 'bar'])) AS json_data", ) with self.assertRaises(ParseError): transpile("SELECT JSON_OBJECT('a', 1, 'b') AS json_data", read="bigquery")