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from sqlglot import ErrorLevel, ParseError, UnsupportedError, transpile
from tests.dialects.test_dialect import Validator
class TestBigQuery(Validator):
dialect = "bigquery"
def test_bigquery(self):
self.validate_identity("SELECT AS STRUCT 1 AS a, 2 AS b")
self.validate_identity("SELECT AS VALUE STRUCT(1 AS a, 2 AS b)")
self.validate_identity("SELECT STRUCT<ARRAY<STRING>>(['2023-01-17'])")
self.validate_identity("SELECT * FROM q UNPIVOT(values FOR quarter IN (b, c))")
self.validate_identity(
"SELECT * FROM (SELECT * FROM `t`) AS a UNPIVOT((c) FOR c_name IN (v1, v2))"
)
self.validate_all("LEAST(x, y)", read={"sqlite": "MIN(x, y)"})
self.validate_all("CAST(x AS CHAR)", write={"bigquery": "CAST(x AS STRING)"})
self.validate_all("CAST(x AS NCHAR)", write={"bigquery": "CAST(x AS STRING)"})
self.validate_all("CAST(x AS NVARCHAR)", write={"bigquery": "CAST(x AS STRING)"})
self.validate_all(
"SELECT ARRAY(SELECT AS STRUCT 1 a, 2 b)",
write={
"bigquery": "SELECT ARRAY(SELECT AS STRUCT 1 AS a, 2 AS b)",
},
)
self.validate_all(
"REGEXP_CONTAINS('foo', '.*')",
read={"bigquery": "REGEXP_CONTAINS('foo', '.*')"},
write={"mysql": "REGEXP_LIKE('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'r"""/\*.*\*/"""',
write={
"bigquery": r"'/\*.*\*/'",
"duckdb": r"'/\*.*\*/'",
"presto": r"'/\*.*\*/'",
"hive": r"'/\*.*\*/'",
"spark": r"'/\*.*\*/'",
},
)
with self.assertRaises(RuntimeError):
transpile("'\\'", read="bigquery")
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(
"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 LONG)",
},
)
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": "LIST_VALUE(1, 2, 3)",
"presto": "ARRAY[1, 2, 3]",
"hive": "ARRAY(1, 2, 3)",
"spark": "ARRAY(1, 2, 3)",
},
write={
"bigquery": "[1, 2, 3]",
"duckdb": "LIST_VALUE(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 (x)",
"hive": "SELECT * FROM UNNEST(ARRAY('7', '14')) AS (x)",
"spark": "SELECT * FROM UNNEST(ARRAY('7', '14')) AS (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(
"CURRENT_TIMESTAMP()",
read={
"tsql": "GETDATE()",
},
write={
"tsql": "GETDATE()",
},
)
self.validate_all(
"current_datetime",
write={
"bigquery": "CURRENT_DATETIME()",
"duckdb": "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": "CAST(x / y AS INT)",
},
)
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_all(
"CREATE TABLE db.example_table (col_a struct<struct_col_a:int, struct_col_b:string>)",
write={
"bigquery": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a INT64, struct_col_b STRING>)",
"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<struct_col_a INT, struct_col_b STRING>)",
"spark": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a: INT, struct_col_b: STRING>)",
},
)
self.validate_all(
"CREATE TABLE db.example_table (col_a STRUCT<struct_col_a INT64, struct_col_b STRUCT<nested_col_a STRING, nested_col_b STRING>>)",
write={
"bigquery": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a INT64, struct_col_b STRUCT<nested_col_a STRING, nested_col_b STRING>>)",
"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<struct_col_a BIGINT, struct_col_b STRUCT<nested_col_a STRING, nested_col_b STRING>>)",
"spark": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a: LONG, struct_col_b: STRUCT<nested_col_a: STRING, nested_col_b: STRING>>)",
},
)
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)))",
},
)
# 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")
self.validate_all(
"DATE_SUB(CURRENT_DATE(), INTERVAL 1 DAY)",
write={
"postgres": "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))",
},
)
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)",
"mysql": "DATEDIFF(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_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, 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={
"duckdb": "SELECT REGEXP_EXTRACT(abc, 'pattern(group)', 1) FROM table",
},
)
self.validate_identity("BEGIN A B C D E F")
self.validate_identity("BEGIN TRANSACTION")
self.validate_identity("COMMIT TRANSACTION")
self.validate_identity("ROLLBACK TRANSACTION")
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 a(x FLOAT64, y FLOAT64) AS ((x + 4) / y)")
self.validate_identity(
"CREATE TABLE FUNCTION a(x INT64) RETURNS TABLE <q STRING, r INT64> AS SELECT s, t"
)
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_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",
},
)
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