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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-08-26 08:12:52 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-08-26 08:12:52 +0000 |
commit | a1f10f8d39404d9bae42a64efaf505fa12f34c1a (patch) | |
tree | 9eb894268f2a145aa9d42b1726a555ab1359810f /tests/dialects/test_bigquery.py | |
parent | Adding upstream version 25.8.1. (diff) | |
download | sqlglot-a1f10f8d39404d9bae42a64efaf505fa12f34c1a.tar.xz sqlglot-a1f10f8d39404d9bae42a64efaf505fa12f34c1a.zip |
Adding upstream version 25.16.1.upstream/25.16.1
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'tests/dialects/test_bigquery.py')
-rw-r--r-- | tests/dialects/test_bigquery.py | 135 |
1 files changed, 129 insertions, 6 deletions
diff --git a/tests/dialects/test_bigquery.py b/tests/dialects/test_bigquery.py index 45f3856..8c9f093 100644 --- a/tests/dialects/test_bigquery.py +++ b/tests/dialects/test_bigquery.py @@ -1,4 +1,6 @@ from unittest import mock +import datetime +import pytz from sqlglot import ( ErrorLevel, @@ -103,6 +105,7 @@ LANGUAGE js AS select_with_quoted_udf = self.validate_identity("SELECT `p.d.UdF`(data) FROM `p.d.t`") self.assertEqual(select_with_quoted_udf.selects[0].name, "p.d.UdF") + self.validate_identity("SELECT * FROM READ_CSV('bla.csv')") self.validate_identity("CAST(x AS STRUCT<list ARRAY<INT64>>)") self.validate_identity("assert.true(1 = 1)") self.validate_identity("SELECT ARRAY_TO_STRING(list, '--') AS text") @@ -446,7 +449,7 @@ LANGUAGE js AS 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))", + "clickhouse": "SELECT LAST_DAY(CAST('2008-11-25' AS Nullable(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)", @@ -511,6 +514,20 @@ LANGUAGE js AS }, ) self.validate_all( + "SELECT FORMAT_DATETIME('%Y%m%d %H:%M:%S', DATETIME '2023-12-25 15:30:00')", + write={ + "bigquery": "SELECT FORMAT_DATETIME('%Y%m%d %H:%M:%S', CAST('2023-12-25 15:30:00' AS DATETIME))", + "duckdb": "SELECT STRFTIME(CAST('2023-12-25 15:30:00' AS TIMESTAMP), '%Y%m%d %H:%M:%S')", + }, + ) + self.validate_all( + "SELECT FORMAT_DATETIME('%x', '2023-12-25 15:30:00')", + write={ + "bigquery": "SELECT FORMAT_DATETIME('%x', '2023-12-25 15:30:00')", + "duckdb": "SELECT STRFTIME(CAST('2023-12-25 15:30:00' AS TIMESTAMP), '%x')", + }, + ) + self.validate_all( "SELECT COUNTIF(x)", read={ "clickhouse": "SELECT countIf(x)", @@ -636,6 +653,7 @@ LANGUAGE js AS write={ "bigquery": "SELECT DATETIME_TRUNC('2023-01-01T01:01:01', HOUR)", "databricks": "SELECT DATE_TRUNC('HOUR', '2023-01-01T01:01:01')", + "duckdb": "SELECT DATE_TRUNC('HOUR', CAST('2023-01-01T01:01:01' AS DATETIME))", }, ), ) @@ -1209,10 +1227,9 @@ LANGUAGE js AS "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)))", + "hive": "SELECT * FROM a WHERE b IN (SELECT EXPLODE(ARRAY(1, 2, 3)))", + "spark": "SELECT * FROM a WHERE b IN (SELECT EXPLODE(ARRAY(1, 2, 3)))", }, ) self.validate_all( @@ -1257,6 +1274,13 @@ LANGUAGE js AS }, ) self.validate_all( + "DATE_DIFF('2021-01-01', '2020-01-01', DAY)", + write={ + "bigquery": "DATE_DIFF('2021-01-01', '2020-01-01', DAY)", + "duckdb": "DATE_DIFF('DAY', CAST('2020-01-01' AS DATE), CAST('2021-01-01' AS DATE))", + }, + ) + self.validate_all( "CURRENT_DATE('UTC')", write={ "mysql": "CURRENT_DATE AT TIME ZONE 'UTC'", @@ -1402,6 +1426,57 @@ WHERE "": "SELECT LENGTH(foo)", }, ) + self.validate_all( + "SELECT TIME_DIFF('12:00:00', '12:30:00', MINUTE)", + write={ + "duckdb": "SELECT DATE_DIFF('MINUTE', CAST('12:30:00' AS TIME), CAST('12:00:00' AS TIME))", + "bigquery": "SELECT TIME_DIFF('12:00:00', '12:30:00', MINUTE)", + }, + ) + self.validate_all( + "ARRAY_CONCAT([1, 2], [3, 4], [5, 6])", + write={ + "bigquery": "ARRAY_CONCAT([1, 2], [3, 4], [5, 6])", + "duckdb": "ARRAY_CONCAT([1, 2], ARRAY_CONCAT([3, 4], [5, 6]))", + "postgres": "ARRAY_CAT(ARRAY[1, 2], ARRAY_CAT(ARRAY[3, 4], ARRAY[5, 6]))", + "redshift": "ARRAY_CONCAT(ARRAY(1, 2), ARRAY_CONCAT(ARRAY(3, 4), ARRAY(5, 6)))", + "snowflake": "ARRAY_CAT([1, 2], ARRAY_CAT([3, 4], [5, 6]))", + "hive": "CONCAT(ARRAY(1, 2), ARRAY(3, 4), ARRAY(5, 6))", + "spark2": "CONCAT(ARRAY(1, 2), ARRAY(3, 4), ARRAY(5, 6))", + "spark": "CONCAT(ARRAY(1, 2), ARRAY(3, 4), ARRAY(5, 6))", + "databricks": "CONCAT(ARRAY(1, 2), ARRAY(3, 4), ARRAY(5, 6))", + "presto": "CONCAT(ARRAY[1, 2], ARRAY[3, 4], ARRAY[5, 6])", + "trino": "CONCAT(ARRAY[1, 2], ARRAY[3, 4], ARRAY[5, 6])", + }, + ) + self.validate_all( + "SELECT GENERATE_DATE_ARRAY('2016-10-05', '2016-10-08')", + write={ + "duckdb": "SELECT CAST(GENERATE_SERIES(CAST('2016-10-05' AS DATE), CAST('2016-10-08' AS DATE), INTERVAL 1 DAY) AS DATE[])", + "bigquery": "SELECT GENERATE_DATE_ARRAY('2016-10-05', '2016-10-08', INTERVAL 1 DAY)", + }, + ) + self.validate_all( + "SELECT GENERATE_DATE_ARRAY('2016-10-05', '2016-10-08', INTERVAL '1' MONTH)", + write={ + "duckdb": "SELECT CAST(GENERATE_SERIES(CAST('2016-10-05' AS DATE), CAST('2016-10-08' AS DATE), INTERVAL '1' MONTH) AS DATE[])", + "bigquery": "SELECT GENERATE_DATE_ARRAY('2016-10-05', '2016-10-08', INTERVAL '1' MONTH)", + }, + ) + self.validate_all( + "SELECT GENERATE_TIMESTAMP_ARRAY('2016-10-05 00:00:00', '2016-10-07 00:00:00', INTERVAL '1' DAY)", + write={ + "duckdb": "SELECT GENERATE_SERIES(CAST('2016-10-05 00:00:00' AS TIMESTAMP), CAST('2016-10-07 00:00:00' AS TIMESTAMP), INTERVAL '1' DAY)", + "bigquery": "SELECT GENERATE_TIMESTAMP_ARRAY('2016-10-05 00:00:00', '2016-10-07 00:00:00', INTERVAL '1' DAY)", + }, + ) + self.validate_all( + "SELECT PARSE_DATE('%A %b %e %Y', 'Thursday Dec 25 2008')", + write={ + "bigquery": "SELECT PARSE_DATE('%A %b %e %Y', 'Thursday Dec 25 2008')", + "duckdb": "SELECT CAST(STRPTIME('Thursday Dec 25 2008', '%A %b %-d %Y') AS DATE)", + }, + ) def test_errors(self): with self.assertRaises(TokenError): @@ -1794,14 +1869,14 @@ OPTIONS ( "SELECT * FROM UNNEST(ARRAY<STRUCT<x INT64>>[])", write={ "bigquery": "SELECT * FROM UNNEST(CAST([] AS ARRAY<STRUCT<x INT64>>))", - "duckdb": "SELECT * FROM UNNEST(CAST([] AS STRUCT(x BIGINT)[]))", + "duckdb": "SELECT * FROM (SELECT UNNEST(CAST([] AS STRUCT(x BIGINT)[]), max_depth => 2))", }, ) self.validate_all( "SELECT * FROM UNNEST(ARRAY<STRUCT<device_id INT64, time DATETIME, signal INT64, state STRING>>[STRUCT(1, DATETIME '2023-11-01 09:34:01', 74, 'INACTIVE'),STRUCT(4, DATETIME '2023-11-01 09:38:01', 80, 'ACTIVE')])", write={ "bigquery": "SELECT * FROM UNNEST(CAST([STRUCT(1, CAST('2023-11-01 09:34:01' AS DATETIME), 74, 'INACTIVE'), STRUCT(4, CAST('2023-11-01 09:38:01' AS DATETIME), 80, 'ACTIVE')] AS ARRAY<STRUCT<device_id INT64, time DATETIME, signal INT64, state STRING>>))", - "duckdb": "SELECT * FROM UNNEST(CAST([ROW(1, CAST('2023-11-01 09:34:01' AS TIMESTAMP), 74, 'INACTIVE'), ROW(4, CAST('2023-11-01 09:38:01' AS TIMESTAMP), 80, 'ACTIVE')] AS STRUCT(device_id BIGINT, time TIMESTAMP, signal BIGINT, state TEXT)[]))", + "duckdb": "SELECT * FROM (SELECT UNNEST(CAST([ROW(1, CAST('2023-11-01 09:34:01' AS TIMESTAMP), 74, 'INACTIVE'), ROW(4, CAST('2023-11-01 09:38:01' AS TIMESTAMP), 80, 'ACTIVE')] AS STRUCT(device_id BIGINT, time TIMESTAMP, signal BIGINT, state TEXT)[]), max_depth => 2))", }, ) self.validate_all( @@ -1811,3 +1886,51 @@ OPTIONS ( "duckdb": "SELECT CAST(ROW(1, ROW('c_str')) AS STRUCT(a BIGINT, b STRUCT(c TEXT)))", }, ) + + def test_convert(self): + for value, expected in [ + (datetime.datetime(2023, 1, 1), "CAST('2023-01-01 00:00:00' AS DATETIME)"), + (datetime.datetime(2023, 1, 1, 12, 13, 14), "CAST('2023-01-01 12:13:14' AS DATETIME)"), + ( + datetime.datetime(2023, 1, 1, 12, 13, 14, tzinfo=datetime.timezone.utc), + "CAST('2023-01-01 12:13:14+00:00' AS TIMESTAMP)", + ), + ( + pytz.timezone("America/Los_Angeles").localize( + datetime.datetime(2023, 1, 1, 12, 13, 14) + ), + "CAST('2023-01-01 12:13:14-08:00' AS TIMESTAMP)", + ), + ]: + with self.subTest(value): + self.assertEqual(exp.convert(value).sql(dialect=self.dialect), expected) + + def test_unnest(self): + self.validate_all( + "SELECT name, laps FROM UNNEST([STRUCT('Rudisha' AS name, [23.4, 26.3, 26.4, 26.1] AS laps), STRUCT('Makhloufi' AS name, [24.5, 25.4, 26.6, 26.1] AS laps)])", + write={ + "bigquery": "SELECT name, laps FROM UNNEST([STRUCT('Rudisha' AS name, [23.4, 26.3, 26.4, 26.1] AS laps), STRUCT('Makhloufi' AS name, [24.5, 25.4, 26.6, 26.1] AS laps)])", + "duckdb": "SELECT name, laps FROM (SELECT UNNEST([{'name': 'Rudisha', 'laps': [23.4, 26.3, 26.4, 26.1]}, {'name': 'Makhloufi', 'laps': [24.5, 25.4, 26.6, 26.1]}], max_depth => 2))", + }, + ) + self.validate_all( + "WITH Races AS (SELECT '800M' AS race) SELECT race, name, laps FROM Races AS r CROSS JOIN UNNEST([STRUCT('Rudisha' AS name, [23.4, 26.3, 26.4, 26.1] AS laps)])", + write={ + "bigquery": "WITH Races AS (SELECT '800M' AS race) SELECT race, name, laps FROM Races AS r CROSS JOIN UNNEST([STRUCT('Rudisha' AS name, [23.4, 26.3, 26.4, 26.1] AS laps)])", + "duckdb": "WITH Races AS (SELECT '800M' AS race) SELECT race, name, laps FROM Races AS r CROSS JOIN (SELECT UNNEST([{'name': 'Rudisha', 'laps': [23.4, 26.3, 26.4, 26.1]}], max_depth => 2))", + }, + ) + self.validate_all( + "SELECT participant FROM UNNEST([STRUCT('Rudisha' AS name, [23.4, 26.3, 26.4, 26.1] AS laps)]) AS participant", + write={ + "bigquery": "SELECT participant FROM UNNEST([STRUCT('Rudisha' AS name, [23.4, 26.3, 26.4, 26.1] AS laps)]) AS participant", + "duckdb": "SELECT participant FROM (SELECT UNNEST([{'name': 'Rudisha', 'laps': [23.4, 26.3, 26.4, 26.1]}], max_depth => 2)) AS participant", + }, + ) + self.validate_all( + "WITH Races AS (SELECT '800M' AS race) SELECT race, participant FROM Races AS r CROSS JOIN UNNEST([STRUCT('Rudisha' AS name, [23.4, 26.3, 26.4, 26.1] AS laps)]) AS participant", + write={ + "bigquery": "WITH Races AS (SELECT '800M' AS race) SELECT race, participant FROM Races AS r CROSS JOIN UNNEST([STRUCT('Rudisha' AS name, [23.4, 26.3, 26.4, 26.1] AS laps)]) AS participant", + "duckdb": "WITH Races AS (SELECT '800M' AS race) SELECT race, participant FROM Races AS r CROSS JOIN (SELECT UNNEST([{'name': 'Rudisha', 'laps': [23.4, 26.3, 26.4, 26.1]}], max_depth => 2)) AS participant", + }, + ) |