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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-08-26 08:12:52 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-08-26 08:12:52 +0000
commita1f10f8d39404d9bae42a64efaf505fa12f34c1a (patch)
tree9eb894268f2a145aa9d42b1726a555ab1359810f /tests/dialects/test_bigquery.py
parentAdding upstream version 25.8.1. (diff)
downloadsqlglot-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.py135
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",
+ },
+ )