from sqlglot import exp, parse, parse_one
from tests.dialects.test_dialect import Validator
from sqlglot.errors import ParseError, UnsupportedError
from sqlglot.optimizer.annotate_types import annotate_types
class TestTSQL(Validator):
dialect = "tsql"
def test_tsql(self):
self.validate_identity(
"with x as (select 1) select * from x union select * from x order by 1 limit 0",
"WITH x AS (SELECT 1 AS [1]) SELECT TOP 0 * FROM (SELECT * FROM x UNION SELECT * FROM x) AS _l_0 ORDER BY 1",
)
# https://learn.microsoft.com/en-us/previous-versions/sql/sql-server-2008-r2/ms187879(v=sql.105)?redirectedfrom=MSDN
# tsql allows .. which means use the default schema
self.validate_identity("SELECT * FROM a..b")
self.validate_identity("CREATE view a.b.c", "CREATE VIEW b.c")
self.validate_identity("DROP view a.b.c", "DROP VIEW b.c")
self.validate_identity("ROUND(x, 1, 0)")
self.validate_identity("EXEC MyProc @id=7, @name='Lochristi'", check_command_warning=True)
self.validate_identity("SELECT TRIM(' test ') AS Result")
self.validate_identity("SELECT TRIM('.,! ' FROM ' # test .') AS Result")
self.validate_identity("SELECT * FROM t TABLESAMPLE (10 PERCENT)")
self.validate_identity("SELECT * FROM t TABLESAMPLE (20 ROWS)")
self.validate_identity("SELECT * FROM t TABLESAMPLE (10 PERCENT) REPEATABLE (123)")
self.validate_identity("SELECT CONCAT(column1, column2)")
self.validate_identity("SELECT TestSpecialChar.Test# FROM TestSpecialChar")
self.validate_identity("SELECT TestSpecialChar.Test@ FROM TestSpecialChar")
self.validate_identity("SELECT TestSpecialChar.Test$ FROM TestSpecialChar")
self.validate_identity("SELECT TestSpecialChar.Test_ FROM TestSpecialChar")
self.validate_identity("SELECT TOP (2 + 1) 1")
self.validate_identity("SELECT * FROM t WHERE NOT c", "SELECT * FROM t WHERE NOT c <> 0")
self.validate_identity("1 AND true", "1 <> 0 AND (1 = 1)")
self.validate_identity("CAST(x AS int) OR y", "CAST(x AS INTEGER) <> 0 OR y <> 0")
self.validate_identity("TRUNCATE TABLE t1 WITH (PARTITIONS(1, 2 TO 5, 10 TO 20, 84))")
self.validate_identity(
"SELECT TOP 10 s.RECORDID, n.c.value('(/*:FORM_ROOT/*:SOME_TAG)[1]', 'float') AS SOME_TAG_VALUE FROM source_table.dbo.source_data AS s(nolock) CROSS APPLY FormContent.nodes('/*:FORM_ROOT') AS N(C)"
)
self.validate_identity(
"CREATE CLUSTERED INDEX [IX_OfficeTagDetail_TagDetailID] ON [dbo].[OfficeTagDetail]([TagDetailID] ASC)"
)
self.validate_identity(
"CREATE INDEX [x] ON [y]([z] ASC) WITH (allow_page_locks=on) ON X([y])"
)
self.validate_identity(
"CREATE INDEX [x] ON [y]([z] ASC) WITH (allow_page_locks=on) ON PRIMARY"
)
self.validate_identity(
"COPY INTO test_1 FROM 'path' WITH (FORMAT_NAME = test, FILE_TYPE = 'CSV', CREDENTIAL = (IDENTITY='Shared Access Signature', SECRET='token'), FIELDTERMINATOR = ';', ROWTERMINATOR = '0X0A', ENCODING = 'UTF8', DATEFORMAT = 'ymd', MAXERRORS = 10, ERRORFILE = 'errorsfolder', IDENTITY_INSERT = 'ON')"
)
self.validate_identity(
'SELECT 1 AS "[x]"',
"SELECT 1 AS [[x]]]",
)
self.assertEqual(
annotate_types(self.validate_identity("SELECT 1 WHERE EXISTS(SELECT 1)")).sql("tsql"),
"SELECT 1 WHERE EXISTS(SELECT 1)",
)
self.validate_all(
"WITH A AS (SELECT 2 AS value), C AS (SELECT * FROM A) SELECT * INTO TEMP_NESTED_WITH FROM (SELECT * FROM C) AS temp",
read={
"snowflake": "CREATE TABLE TEMP_NESTED_WITH AS WITH C AS (WITH A AS (SELECT 2 AS value) SELECT * FROM A) SELECT * FROM C",
"tsql": "WITH A AS (SELECT 2 AS value), C AS (SELECT * FROM A) SELECT * INTO TEMP_NESTED_WITH FROM (SELECT * FROM C) AS temp",
},
write={
"snowflake": "CREATE TABLE TEMP_NESTED_WITH AS WITH A AS (SELECT 2 AS value), C AS (SELECT * FROM A) SELECT * FROM (SELECT * FROM C) AS temp",
},
)
self.validate_all(
"SELECT IIF(cond <> 0, 'True', 'False')",
read={
"spark": "SELECT IF(cond, 'True', 'False')",
"sqlite": "SELECT IIF(cond, 'True', 'False')",
"tsql": "SELECT IIF(cond <> 0, 'True', 'False')",
},
)
self.validate_all(
"SELECT TRIM(BOTH 'a' FROM a)",
read={
"mysql": "SELECT TRIM(BOTH 'a' FROM a)",
},
write={
"mysql": "SELECT TRIM(BOTH 'a' FROM a)",
"tsql": "SELECT TRIM(BOTH 'a' FROM a)",
},
)
self.validate_all(
"SELECT TIMEFROMPARTS(23, 59, 59, 0, 0)",
read={
"duckdb": "SELECT MAKE_TIME(23, 59, 59)",
"mysql": "SELECT MAKETIME(23, 59, 59)",
"postgres": "SELECT MAKE_TIME(23, 59, 59)",
"snowflake": "SELECT TIME_FROM_PARTS(23, 59, 59)",
},
write={
"tsql": "SELECT TIMEFROMPARTS(23, 59, 59, 0, 0)",
},
)
self.validate_all(
"SELECT DATETIMEFROMPARTS(2013, 4, 5, 12, 00, 00, 0)",
read={
# The nanoseconds are ignored since T-SQL doesn't support that precision
"snowflake": "SELECT TIMESTAMP_FROM_PARTS(2013, 4, 5, 12, 00, 00, 987654321)"
},
write={
"duckdb": "SELECT MAKE_TIMESTAMP(2013, 4, 5, 12, 00, 00 + (0 / 1000.0))",
"snowflake": "SELECT TIMESTAMP_FROM_PARTS(2013, 4, 5, 12, 00, 00, 0 * 1000000)",
"tsql": "SELECT DATETIMEFROMPARTS(2013, 4, 5, 12, 00, 00, 0)",
},
)
self.validate_all(
"SELECT TOP 1 * FROM (SELECT x FROM t1 UNION ALL SELECT x FROM t2) AS _l_0",
read={
"": "SELECT x FROM t1 UNION ALL SELECT x FROM t2 LIMIT 1",
},
)
self.validate_all(
"WITH t(c) AS (SELECT 1) SELECT * INTO foo FROM (SELECT c AS c FROM t) AS temp",
read={
"duckdb": "CREATE TABLE foo AS WITH t(c) AS (SELECT 1) SELECT c FROM t",
},
)
self.validate_all(
"WITH t(c) AS (SELECT 1) SELECT * INTO foo FROM (SELECT c AS c FROM t) AS temp",
write={
"duckdb": "CREATE TABLE foo AS WITH t(c) AS (SELECT 1) SELECT * FROM (SELECT c AS c FROM t) AS temp",
"postgres": "WITH t(c) AS (SELECT 1) SELECT * INTO foo FROM (SELECT c AS c FROM t) AS temp",
"oracle": "WITH t(c) AS (SELECT 1) SELECT * INTO foo FROM (SELECT c AS c FROM t) temp",
},
)
self.validate_all(
"WITH t(c) AS (SELECT 1) SELECT * INTO TEMP UNLOGGED foo FROM (SELECT c AS c FROM t) AS temp",
write={
"duckdb": "CREATE TEMPORARY TABLE foo AS WITH t(c) AS (SELECT 1) SELECT * FROM (SELECT c AS c FROM t) AS temp",
"postgres": "WITH t(c) AS (SELECT 1) SELECT * INTO TEMPORARY foo FROM (SELECT c AS c FROM t) AS temp",
},
)
self.validate_all(
"WITH t(c) AS (SELECT 1) SELECT * INTO UNLOGGED foo FROM (SELECT c AS c FROM t) AS temp",
write={
"duckdb": "CREATE TABLE foo AS WITH t(c) AS (SELECT 1) SELECT * FROM (SELECT c AS c FROM t) AS temp",
},
)
self.validate_all(
"WITH t(c) AS (SELECT 1) SELECT * INTO UNLOGGED foo FROM (SELECT c AS c FROM t) AS temp",
write={
"duckdb": "CREATE TABLE foo AS WITH t(c) AS (SELECT 1) SELECT * FROM (SELECT c AS c FROM t) AS temp",
},
)
self.validate_all(
"WITH y AS (SELECT 2 AS c) INSERT INTO t SELECT * FROM y",
read={
"duckdb": "WITH y AS (SELECT 2 AS c) INSERT INTO t SELECT * FROM y",
},
)
self.validate_all(
"WITH t(c) AS (SELECT 1) SELECT 1 AS c UNION (SELECT c FROM t)",
read={
"duckdb": "SELECT 1 AS c UNION (WITH t(c) AS (SELECT 1) SELECT c FROM t)",
},
)
self.validate_all(
"WITH t(c) AS (SELECT 1) MERGE INTO x AS z USING (SELECT c AS c FROM t) AS y ON a = b WHEN MATCHED THEN UPDATE SET a = y.b",
read={
"postgres": "MERGE INTO x AS z USING (WITH t(c) AS (SELECT 1) SELECT c FROM t) AS y ON a = b WHEN MATCHED THEN UPDATE SET a = y.b",
},
)
self.validate_all(
"WITH t(n) AS (SELECT 1 AS n UNION ALL SELECT n + 1 AS n FROM t WHERE n < 4) SELECT * FROM (SELECT SUM(n) AS s4 FROM t) AS subq",
read={
"duckdb": "SELECT * FROM (WITH RECURSIVE t(n) AS (SELECT 1 AS n UNION ALL SELECT n + 1 AS n FROM t WHERE n < 4) SELECT SUM(n) AS s4 FROM t) AS subq",
},
)
self.validate_all(
"CREATE TABLE #mytemptable (a INTEGER)",
read={
"duckdb": "CREATE TEMPORARY TABLE mytemptable (a INT)",
},
write={
"tsql": "CREATE TABLE #mytemptable (a INTEGER)",
"snowflake": "CREATE TEMPORARY TABLE mytemptable (a INT)",
"duckdb": "CREATE TEMPORARY TABLE mytemptable (a INT)",
"oracle": "CREATE GLOBAL TEMPORARY TABLE mytemptable (a INT)",
"hive": "CREATE TEMPORARY TABLE mytemptable (a INT)",
"spark2": "CREATE TEMPORARY TABLE mytemptable (a INT) USING PARQUET",
"spark": "CREATE TEMPORARY TABLE mytemptable (a INT) USING PARQUET",
"databricks": "CREATE TEMPORARY TABLE mytemptable (a INT) USING PARQUET",
},
)
self.validate_all(
"CREATE TABLE #mytemp (a INTEGER, b CHAR(2), c TIME(4), d FLOAT(24))",
write={
"spark": "CREATE TEMPORARY TABLE mytemp (a INT, b CHAR(2), c TIMESTAMP, d FLOAT) USING PARQUET",
"tsql": "CREATE TABLE #mytemp (a INTEGER, b CHAR(2), c TIME(4), d FLOAT(24))",
},
)
self.validate_all(
"""CREATE TABLE [dbo].[mytable](
[email] [varchar](255) NOT NULL,
CONSTRAINT [UN_t_mytable] UNIQUE NONCLUSTERED
(
[email] ASC
)
)""",
write={
"hive": "CREATE TABLE `dbo`.`mytable` (`email` VARCHAR(255) NOT NULL)",
"spark2": "CREATE TABLE `dbo`.`mytable` (`email` VARCHAR(255) NOT NULL)",
"spark": "CREATE TABLE `dbo`.`mytable` (`email` VARCHAR(255) NOT NULL)",
"databricks": "CREATE TABLE `dbo`.`mytable` (`email` VARCHAR(255) NOT NULL)",
},
)
self.validate_all(
"CREATE TABLE x ( A INTEGER NOT NULL, B INTEGER NULL )",
write={
"tsql": "CREATE TABLE x (A INTEGER NOT NULL, B INTEGER NULL)",
"hive": "CREATE TABLE x (A INT NOT NULL, B INT)",
},
)
self.validate_identity(
'CREATE TABLE x (CONSTRAINT "pk_mytable" UNIQUE NONCLUSTERED (a DESC)) ON b (c)',
"CREATE TABLE x (CONSTRAINT [pk_mytable] UNIQUE NONCLUSTERED (a DESC)) ON b (c)",
)
self.validate_all(
"""CREATE TABLE x ([zip_cd] VARCHAR(5) NULL NOT FOR REPLICATION, [zip_cd_mkey] VARCHAR(5) NOT NULL, CONSTRAINT [pk_mytable] PRIMARY KEY CLUSTERED ([zip_cd_mkey] ASC) WITH (PAD_INDEX=ON, STATISTICS_NORECOMPUTE=OFF) ON [INDEX]) ON [SECONDARY]""",
write={
"tsql": "CREATE TABLE x ([zip_cd] VARCHAR(5) NULL NOT FOR REPLICATION, [zip_cd_mkey] VARCHAR(5) NOT NULL, CONSTRAINT [pk_mytable] PRIMARY KEY CLUSTERED ([zip_cd_mkey] ASC) WITH (PAD_INDEX=ON, STATISTICS_NORECOMPUTE=OFF) ON [INDEX]) ON [SECONDARY]",
"spark2": "CREATE TABLE x (`zip_cd` VARCHAR(5), `zip_cd_mkey` VARCHAR(5) NOT NULL, CONSTRAINT `pk_mytable` PRIMARY KEY (`zip_cd_mkey`))",
},
)
self.validate_identity("CREATE TABLE x (A INTEGER NOT NULL, B INTEGER NULL)")
self.validate_all(
"CREATE TABLE x ( A INTEGER NOT NULL, B INTEGER NULL )",
write={
"hive": "CREATE TABLE x (A INT NOT NULL, B INT)",
},
)
self.validate_identity(
"CREATE TABLE tbl (a AS (x + 1) PERSISTED, b AS (y + 2), c AS (y / 3) PERSISTED NOT NULL)"
)
self.validate_identity(
"CREATE TABLE [db].[tbl]([a] [int])",
"CREATE TABLE [db].[tbl] ([a] INTEGER)",
)
self.validate_identity("SELECT a = 1", "SELECT 1 AS a").selects[0].assert_is(
exp.Alias
).args["alias"].assert_is(exp.Identifier)
self.validate_all(
"IF OBJECT_ID('tempdb.dbo.#TempTableName', 'U') IS NOT NULL DROP TABLE #TempTableName",
write={
"tsql": "DROP TABLE IF EXISTS #TempTableName",
"spark": "DROP TABLE IF EXISTS TempTableName",
},
)
self.validate_identity(
"MERGE INTO mytable WITH (HOLDLOCK) AS T USING mytable_merge AS S "
"ON (T.user_id = S.user_id) WHEN NOT MATCHED THEN INSERT (c1, c2) VALUES (S.c1, S.c2)"
)
self.validate_identity("UPDATE STATISTICS x", check_command_warning=True)
self.validate_identity("UPDATE x SET y = 1 OUTPUT x.a, x.b INTO @y FROM y")
self.validate_identity("UPDATE x SET y = 1 OUTPUT x.a, x.b FROM y")
self.validate_identity("INSERT INTO x (y) OUTPUT x.a, x.b INTO l SELECT * FROM z")
self.validate_identity("INSERT INTO x (y) OUTPUT x.a, x.b SELECT * FROM z")
self.validate_identity("DELETE x OUTPUT x.a FROM z")
self.validate_identity("SELECT * FROM t WITH (TABLOCK, INDEX(myindex))")
self.validate_identity("SELECT * FROM t WITH (NOWAIT)")
self.validate_identity("SELECT CASE WHEN a > 1 THEN b END")
self.validate_identity("SELECT * FROM taxi ORDER BY 1 OFFSET 0 ROWS FETCH NEXT 3 ROWS ONLY")
self.validate_identity("END")
self.validate_identity("@x")
self.validate_identity("#x")
self.validate_identity("PRINT @TestVariable", check_command_warning=True)
self.validate_identity("SELECT Employee_ID, Department_ID FROM @MyTableVar")
self.validate_identity("INSERT INTO @TestTable VALUES (1, 'Value1', 12, 20)")
self.validate_identity("SELECT * FROM #foo")
self.validate_identity("SELECT * FROM ##foo")
self.validate_identity("SELECT a = 1", "SELECT 1 AS a")
self.validate_identity(
"DECLARE @TestVariable AS VARCHAR(100) = 'Save Our Planet'",
)
self.validate_identity(
"SELECT a = 1 UNION ALL SELECT a = b", "SELECT 1 AS a UNION ALL SELECT b AS a"
)
self.validate_identity(
"SELECT x FROM @MyTableVar AS m JOIN Employee ON m.EmployeeID = Employee.EmployeeID"
)
self.validate_identity(
"SELECT DISTINCT DepartmentName, PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY BaseRate) OVER (PARTITION BY DepartmentName) AS MedianCont FROM dbo.DimEmployee"
)
self.validate_identity(
'SELECT "x"."y" FROM foo',
"SELECT [x].[y] FROM foo",
)
self.validate_all(
"SELECT * FROM t ORDER BY (SELECT NULL) OFFSET 2 ROWS",
read={
"postgres": "SELECT * FROM t OFFSET 2",
},
write={
"postgres": "SELECT * FROM t ORDER BY (SELECT NULL) NULLS FIRST OFFSET 2",
"tsql": "SELECT * FROM t ORDER BY (SELECT NULL) OFFSET 2 ROWS",
},
)
self.validate_all(
"SELECT * FROM t ORDER BY (SELECT NULL) OFFSET 5 ROWS FETCH FIRST 10 ROWS ONLY",
read={
"duckdb": "SELECT * FROM t LIMIT 10 OFFSET 5",
"sqlite": "SELECT * FROM t LIMIT 5, 10",
"tsql": "SELECT * FROM t ORDER BY (SELECT NULL) OFFSET 5 ROWS FETCH FIRST 10 ROWS ONLY",
},
write={
"duckdb": "SELECT * FROM t ORDER BY (SELECT NULL) NULLS FIRST LIMIT 10 OFFSET 5",
"sqlite": "SELECT * FROM t ORDER BY (SELECT NULL) LIMIT 10 OFFSET 5",
},
)
self.validate_all(
"SELECT CAST([a].[b] AS SMALLINT) FROM foo",
write={
"tsql": "SELECT CAST([a].[b] AS SMALLINT) FROM foo",
"spark": "SELECT CAST(`a`.`b` AS SMALLINT) FROM foo",
},
)
self.validate_all(
"CONVERT(INT, CONVERT(NUMERIC, '444.75'))",
write={
"mysql": "CAST(CAST('444.75' AS DECIMAL) AS SIGNED)",
"tsql": "CONVERT(INTEGER, CONVERT(NUMERIC, '444.75'))",
},
)
self.validate_all(
"STRING_AGG(x, y) WITHIN GROUP (ORDER BY z DESC)",
write={
"tsql": "STRING_AGG(x, y) WITHIN GROUP (ORDER BY z DESC)",
"mysql": "GROUP_CONCAT(x ORDER BY z DESC SEPARATOR y)",
"sqlite": "GROUP_CONCAT(x, y)",
"postgres": "STRING_AGG(x, y ORDER BY z DESC NULLS LAST)",
},
)
self.validate_all(
"STRING_AGG(x, '|') WITHIN GROUP (ORDER BY z ASC)",
write={
"tsql": "STRING_AGG(x, '|') WITHIN GROUP (ORDER BY z ASC)",
"mysql": "GROUP_CONCAT(x ORDER BY z ASC SEPARATOR '|')",
"sqlite": "GROUP_CONCAT(x, '|')",
"postgres": "STRING_AGG(x, '|' ORDER BY z ASC NULLS FIRST)",
},
)
self.validate_all(
"STRING_AGG(x, '|')",
write={
"tsql": "STRING_AGG(x, '|')",
"mysql": "GROUP_CONCAT(x SEPARATOR '|')",
"sqlite": "GROUP_CONCAT(x, '|')",
"postgres": "STRING_AGG(x, '|')",
},
)
self.validate_all(
"HASHBYTES('SHA1', x)",
read={
"snowflake": "SHA1(x)",
"spark": "SHA(x)",
},
write={
"snowflake": "SHA1(x)",
"spark": "SHA(x)",
"tsql": "HASHBYTES('SHA1', x)",
},
)
self.validate_all(
"HASHBYTES('SHA2_256', x)",
read={
"spark": "SHA2(x, 256)",
},
write={
"tsql": "HASHBYTES('SHA2_256', x)",
"spark": "SHA2(x, 256)",
},
)
self.validate_all(
"HASHBYTES('SHA2_512', x)",
read={
"spark": "SHA2(x, 512)",
},
write={
"tsql": "HASHBYTES('SHA2_512', x)",
"spark": "SHA2(x, 512)",
},
)
self.validate_all(
"HASHBYTES('MD5', 'x')",
read={
"spark": "MD5('x')",
},
write={
"tsql": "HASHBYTES('MD5', 'x')",
"spark": "MD5('x')",
},
)
self.validate_identity("HASHBYTES('MD2', 'x')")
self.validate_identity("LOG(n)")
self.validate_identity("LOG(n, b)")
self.validate_all(
"STDEV(x)",
read={
"": "STDDEV(x)",
},
write={
"": "STDDEV(x)",
"tsql": "STDEV(x)",
},
)
# Check that TRUE and FALSE dont get expanded to (1=1) or (1=0) when used in a VALUES expression
self.validate_identity(
"SELECT val FROM (VALUES ((TRUE), (FALSE), (NULL))) AS t(val)",
write_sql="SELECT val FROM (VALUES ((1), (0), (NULL))) AS t(val)",
)
self.validate_identity("'a' + 'b'")
self.validate_identity(
"'a' || 'b'",
"'a' + 'b'",
)
self.validate_identity(
"CREATE TABLE db.t1 (a INTEGER, b VARCHAR(50), CONSTRAINT c PRIMARY KEY (a DESC))",
)
self.validate_identity(
"CREATE TABLE db.t1 (a INTEGER, b INTEGER, CONSTRAINT c PRIMARY KEY (a DESC, b))"
)
self.validate_all(
"SCHEMA_NAME(id)",
write={
"sqlite": "'main'",
"mysql": "SCHEMA()",
"postgres": "CURRENT_SCHEMA",
"tsql": "SCHEMA_NAME(id)",
},
)
with self.assertRaises(ParseError):
parse_one("SELECT begin", read="tsql")
self.validate_identity("CREATE PROCEDURE test(@v1 INTEGER = 1, @v2 CHAR(1) = 'c')")
self.validate_identity("DECLARE @v1 AS INTEGER = 1, @v2 AS CHAR(1) = 'c'")
for output in ("OUT", "OUTPUT", "READ_ONLY"):
self.validate_identity(
f"CREATE PROCEDURE test(@v1 INTEGER = 1 {output}, @v2 CHAR(1) {output})"
)
self.validate_identity(
"CREATE PROCEDURE test(@v1 AS INTEGER = 1, @v2 AS CHAR(1) = 'c')",
"CREATE PROCEDURE test(@v1 INTEGER = 1, @v2 CHAR(1) = 'c')",
)
def test_option(self):
possible_options = [
"HASH GROUP",
"ORDER GROUP",
"CONCAT UNION",
"HASH UNION",
"MERGE UNION",
"LOOP JOIN",
"MERGE JOIN",
"HASH JOIN",
"DISABLE_OPTIMIZED_PLAN_FORCING",
"EXPAND VIEWS",
"FAST 15",
"FORCE ORDER",
"FORCE EXTERNALPUSHDOWN",
"DISABLE EXTERNALPUSHDOWN",
"FORCE SCALEOUTEXECUTION",
"DISABLE SCALEOUTEXECUTION",
"IGNORE_NONCLUSTERED_COLUMNSTORE_INDEX",
"KEEP PLAN",
"KEEPFIXED PLAN",
"MAX_GRANT_PERCENT = 5",
"MIN_GRANT_PERCENT = 10",
"MAXDOP 13",
"MAXRECURSION 8",
"NO_PERFORMANCE_SPOOL",
"OPTIMIZE FOR UNKNOWN",
"PARAMETERIZATION SIMPLE",
"PARAMETERIZATION FORCED",
"QUERYTRACEON 99",
"RECOMPILE",
"ROBUST PLAN",
"USE PLAN N'<xml_plan>'",
"LABEL = 'MyLabel'",
]
possible_statements = [
# These should be un-commented once support for the OPTION clause is added for DELETE, MERGE and UPDATE
# "DELETE FROM Table1",
# "MERGE INTO Locations AS T USING locations_stage AS S ON T.LocationID = S.LocationID WHEN MATCHED THEN UPDATE SET LocationName = S.LocationName",
# "UPDATE Customers SET ContactName = 'Alfred Schmidt', City = 'Frankfurt' WHERE CustomerID = 1",
"SELECT * FROM Table1",
"SELECT * FROM Table1 WHERE id = 2",
]
for statement in possible_statements:
for option in possible_options:
query = f"{statement} OPTION({option})"
result = self.validate_identity(query)
options = result.args.get("options")
self.assertIsInstance(options, list, f"When parsing query {query}")
is_query_options = map(lambda o: isinstance(o, exp.QueryOption), options)
self.assertTrue(all(is_query_options), f"When parsing query {query}")
self.validate_identity(
f"{statement} OPTION(RECOMPILE, USE PLAN N'<xml_plan>', MAX_GRANT_PERCENT = 5)"
)
raising_queries = [
# Missing parentheses
"SELECT * FROM Table1 OPTION HASH GROUP",
# Must be followed by 'PLAN"
"SELECT * FROM Table1 OPTION(KEEPFIXED)",
# Missing commas
"SELECT * FROM Table1 OPTION(HASH GROUP HASH GROUP)",
]
for query in raising_queries:
with self.assertRaises(ParseError, msg=f"When running '{query}'"):
self.parse_one(query)
def test_types(self):
self.validate_identity("CAST(x AS XML)")
self.validate_identity("CAST(x AS UNIQUEIDENTIFIER)")
self.validate_identity("CAST(x AS MONEY)")
self.validate_identity("CAST(x AS SMALLMONEY)")
self.validate_identity("CAST(x AS IMAGE)")
self.validate_identity("CAST(x AS SQL_VARIANT)")
self.validate_identity("CAST(x AS BIT)")
self.validate_all(
"CAST(x AS DATETIME2(6))",
write={
"hive": "CAST(x AS TIMESTAMP)",
},
)
self.validate_all(
"CAST(x AS ROWVERSION)",
read={
"tsql": "CAST(x AS TIMESTAMP)",
},
write={
"tsql": "CAST(x AS ROWVERSION)",
"hive": "CAST(x AS BINARY)",
},
)
for temporal_type in ("SMALLDATETIME", "DATETIME", "DATETIME2"):
self.validate_all(
f"CAST(x AS {temporal_type})",
read={
"": f"CAST(x AS {temporal_type})",
},
write={
"mysql": "CAST(x AS DATETIME)",
"duckdb": "CAST(x AS TIMESTAMP)",
"tsql": f"CAST(x AS {temporal_type})",
},
)
def test_types_ints(self):
self.validate_all(
"CAST(X AS INT)",
write={
"hive": "CAST(X AS INT)",
"spark2": "CAST(X AS INT)",
"spark": "CAST(X AS INT)",
"tsql": "CAST(X AS INTEGER)",
},
)
self.validate_all(
"CAST(X AS BIGINT)",
write={
"hive": "CAST(X AS BIGINT)",
"spark2": "CAST(X AS BIGINT)",
"spark": "CAST(X AS BIGINT)",
"tsql": "CAST(X AS BIGINT)",
},
)
self.validate_all(
"CAST(X AS SMALLINT)",
write={
"hive": "CAST(X AS SMALLINT)",
"spark2": "CAST(X AS SMALLINT)",
"spark": "CAST(X AS SMALLINT)",
"tsql": "CAST(X AS SMALLINT)",
},
)
self.validate_all(
"CAST(X AS TINYINT)",
read={
"duckdb": "CAST(X AS UTINYINT)",
},
write={
"duckdb": "CAST(X AS UTINYINT)",
"hive": "CAST(X AS SMALLINT)",
"spark2": "CAST(X AS SMALLINT)",
"spark": "CAST(X AS SMALLINT)",
"tsql": "CAST(X AS TINYINT)",
},
)
def test_types_decimals(self):
self.validate_all(
"CAST(x as FLOAT)",
write={
"spark": "CAST(x AS FLOAT)",
"tsql": "CAST(x AS FLOAT)",
},
)
self.validate_all(
"CAST(x as FLOAT(32))",
write={"tsql": "CAST(x AS FLOAT(32))", "hive": "CAST(x AS FLOAT)"},
)
self.validate_all(
"CAST(x as FLOAT(64))",
write={"tsql": "CAST(x AS FLOAT(64))", "spark": "CAST(x AS DOUBLE)"},
)
self.validate_all(
"CAST(x as FLOAT(6))", write={"tsql": "CAST(x AS FLOAT(6))", "hive": "CAST(x AS FLOAT)"}
)
self.validate_all(
"CAST(x as FLOAT(36))",
write={"tsql": "CAST(x AS FLOAT(36))", "hive": "CAST(x AS DOUBLE)"},
)
self.validate_all(
"CAST(x as FLOAT(99))",
write={"tsql": "CAST(x AS FLOAT(99))", "hive": "CAST(x AS DOUBLE)"},
)
self.validate_all(
"CAST(x as DOUBLE)",
write={
"spark": "CAST(x AS DOUBLE)",
"tsql": "CAST(x AS FLOAT)",
},
)
self.validate_all(
"CAST(x as DECIMAL(15, 4))",
write={
"spark": "CAST(x AS DECIMAL(15, 4))",
"tsql": "CAST(x AS NUMERIC(15, 4))",
},
)
self.validate_all(
"CAST(x as NUMERIC(13,3))",
write={
"spark": "CAST(x AS DECIMAL(13, 3))",
"tsql": "CAST(x AS NUMERIC(13, 3))",
},
)
self.validate_all(
"CAST(x as MONEY)",
write={
"spark": "CAST(x AS DECIMAL(15, 4))",
"tsql": "CAST(x AS MONEY)",
},
)
self.validate_all(
"CAST(x as SMALLMONEY)",
write={
"spark": "CAST(x AS DECIMAL(6, 4))",
"tsql": "CAST(x AS SMALLMONEY)",
},
)
self.validate_all(
"CAST(x as REAL)",
write={
"spark": "CAST(x AS FLOAT)",
"tsql": "CAST(x AS FLOAT)",
},
)
def test_types_string(self):
self.validate_all(
"CAST(x as CHAR(1))",
write={
"spark": "CAST(x AS CHAR(1))",
"tsql": "CAST(x AS CHAR(1))",
},
)
self.validate_all(
"CAST(x as VARCHAR(2))",
write={
"spark": "CAST(x AS VARCHAR(2))",
"tsql": "CAST(x AS VARCHAR(2))",
},
)
self.validate_all(
"CAST(x as NCHAR(1))",
write={
"spark": "CAST(x AS CHAR(1))",
"tsql": "CAST(x AS NCHAR(1))",
},
)
self.validate_all(
"CAST(x as NVARCHAR(2))",
write={
"spark": "CAST(x AS VARCHAR(2))",
"tsql": "CAST(x AS NVARCHAR(2))",
},
)
self.validate_all(
"CAST(x as UNIQUEIDENTIFIER)",
write={
"spark": "CAST(x AS STRING)",
"tsql": "CAST(x AS UNIQUEIDENTIFIER)",
},
)
def test_types_date(self):
self.validate_all(
"CAST(x as DATE)",
write={
"spark": "CAST(x AS DATE)",
"tsql": "CAST(x AS DATE)",
},
)
self.validate_all(
"CAST(x as DATE)",
write={
"spark": "CAST(x AS DATE)",
"tsql": "CAST(x AS DATE)",
},
)
self.validate_all(
"CAST(x as TIME(4))",
write={
"spark": "CAST(x AS TIMESTAMP)",
"tsql": "CAST(x AS TIME(4))",
},
)
self.validate_all(
"CAST(x as DATETIME2)",
write={
"spark": "CAST(x AS TIMESTAMP)",
"tsql": "CAST(x AS DATETIME2)",
},
)
self.validate_all(
"CAST(x as DATETIMEOFFSET)",
write={
"spark": "CAST(x AS TIMESTAMP)",
"tsql": "CAST(x AS DATETIMEOFFSET)",
},
)
self.validate_all(
"CREATE TABLE t (col1 DATETIME2(2))",
read={
"snowflake": "CREATE TABLE t (col1 TIMESTAMP_NTZ(2))",
},
write={
"tsql": "CREATE TABLE t (col1 DATETIME2(2))",
},
)
def test_types_bin(self):
self.validate_all(
"CAST(x as BIT)",
write={
"spark": "CAST(x AS BOOLEAN)",
"tsql": "CAST(x AS BIT)",
},
)
self.validate_all(
"CAST(x as VARBINARY)",
write={
"spark": "CAST(x AS BINARY)",
"tsql": "CAST(x AS VARBINARY)",
},
)
self.validate_all(
"CAST(x AS BOOLEAN)",
write={"tsql": "CAST(x AS BIT)"},
)
self.validate_all("a = TRUE", write={"tsql": "a = 1"})
self.validate_all("a != FALSE", write={"tsql": "a <> 0"})
self.validate_all("a IS TRUE", write={"tsql": "a = 1"})
self.validate_all("a IS NOT FALSE", write={"tsql": "NOT a = 0"})
self.validate_all(
"CASE WHEN a IN (TRUE) THEN 'y' ELSE 'n' END",
write={"tsql": "CASE WHEN a IN (1) THEN 'y' ELSE 'n' END"},
)
self.validate_all(
"CASE WHEN a NOT IN (FALSE) THEN 'y' ELSE 'n' END",
write={"tsql": "CASE WHEN NOT a IN (0) THEN 'y' ELSE 'n' END"},
)
self.validate_all("SELECT TRUE, FALSE", write={"tsql": "SELECT 1, 0"})
self.validate_all("SELECT TRUE AS a, FALSE AS b", write={"tsql": "SELECT 1 AS a, 0 AS b"})
self.validate_all(
"SELECT 1 FROM a WHERE TRUE", write={"tsql": "SELECT 1 FROM a WHERE (1 = 1)"}
)
self.validate_all(
"CASE WHEN TRUE THEN 'y' WHEN FALSE THEN 'n' ELSE NULL END",
write={"tsql": "CASE WHEN (1 = 1) THEN 'y' WHEN (1 = 0) THEN 'n' ELSE NULL END"},
)
def test_ddl(self):
for view_attr in ("ENCRYPTION", "SCHEMABINDING", "VIEW_METADATA"):
self.validate_identity(f"CREATE VIEW a.b WITH {view_attr} AS SELECT * FROM x")
self.validate_identity("ALTER TABLE dbo.DocExe DROP CONSTRAINT FK_Column_B").assert_is(
exp.Alter
).args["actions"][0].assert_is(exp.Drop)
for clustered_keyword in ("CLUSTERED", "NONCLUSTERED"):
self.validate_identity(
'CREATE TABLE "dbo"."benchmark" ('
'"name" CHAR(7) NOT NULL, '
'"internal_id" VARCHAR(10) NOT NULL, '
f'UNIQUE {clustered_keyword} ("internal_id" ASC))',
"CREATE TABLE [dbo].[benchmark] ("
"[name] CHAR(7) NOT NULL, "
"[internal_id] VARCHAR(10) NOT NULL, "
f"UNIQUE {clustered_keyword} ([internal_id] ASC))",
)
self.validate_identity("CREATE SCHEMA testSchema")
self.validate_identity("CREATE VIEW t AS WITH cte AS (SELECT 1 AS c) SELECT c FROM cte")
self.validate_identity(
"ALTER TABLE tbl SET SYSTEM_VERSIONING=ON(HISTORY_TABLE=db.tbl, DATA_CONSISTENCY_CHECK=OFF, HISTORY_RETENTION_PERIOD=5 DAYS)"
)
self.validate_identity(
"ALTER TABLE tbl SET SYSTEM_VERSIONING=ON(HISTORY_TABLE=db.tbl, HISTORY_RETENTION_PERIOD=INFINITE)"
)
self.validate_identity("ALTER TABLE tbl SET SYSTEM_VERSIONING=OFF")
self.validate_identity("ALTER TABLE tbl SET FILESTREAM_ON = 'test'")
self.validate_identity(
"ALTER TABLE tbl SET DATA_DELETION=ON(FILTER_COLUMN=col, RETENTION_PERIOD=5 MONTHS)"
)
self.validate_identity("ALTER TABLE tbl SET DATA_DELETION=ON")
self.validate_identity("ALTER TABLE tbl SET DATA_DELETION=OFF")
self.validate_identity("ALTER VIEW v AS SELECT a, b, c, d FROM foo")
self.validate_identity("ALTER VIEW v AS SELECT * FROM foo WHERE c > 100")
self.validate_identity(
"ALTER VIEW v WITH SCHEMABINDING AS SELECT * FROM foo WHERE c > 100",
check_command_warning=True,
)
self.validate_identity(
"ALTER VIEW v WITH ENCRYPTION AS SELECT * FROM foo WHERE c > 100",
check_command_warning=True,
)
self.validate_identity(
"ALTER VIEW v WITH VIEW_METADATA AS SELECT * FROM foo WHERE c > 100",
check_command_warning=True,
)
self.validate_identity(
"CREATE PROCEDURE foo AS BEGIN DELETE FROM bla WHERE foo < CURRENT_TIMESTAMP - 7 END",
"CREATE PROCEDURE foo AS BEGIN DELETE FROM bla WHERE foo < GETDATE() - 7 END",
)
self.validate_all(
"CREATE TABLE [#temptest] (name INTEGER)",
read={
"duckdb": "CREATE TEMPORARY TABLE 'temptest' (name INTEGER)",
"tsql": "CREATE TABLE [#temptest] (name INTEGER)",
},
)
self.validate_all(
"CREATE TABLE tbl (id INTEGER IDENTITY PRIMARY KEY)",
read={
"mysql": "CREATE TABLE tbl (id INT AUTO_INCREMENT PRIMARY KEY)",
"tsql": "CREATE TABLE tbl (id INTEGER IDENTITY PRIMARY KEY)",
},
)
self.validate_all(
"CREATE TABLE tbl (id INTEGER NOT NULL IDENTITY(10, 1) PRIMARY KEY)",
read={
"postgres": "CREATE TABLE tbl (id INT NOT NULL GENERATED ALWAYS AS IDENTITY (START WITH 10) PRIMARY KEY)",
"tsql": "CREATE TABLE tbl (id INTEGER NOT NULL IDENTITY(10, 1) PRIMARY KEY)",
},
write={
"databricks": "CREATE TABLE tbl (id BIGINT NOT NULL GENERATED ALWAYS AS IDENTITY (START WITH 10 INCREMENT BY 1) PRIMARY KEY)",
"postgres": "CREATE TABLE tbl (id INT NOT NULL GENERATED BY DEFAULT AS IDENTITY (START WITH 10 INCREMENT BY 1) PRIMARY KEY)",
},
)
self.validate_all(
"CREATE TABLE x (a UNIQUEIDENTIFIER, b VARBINARY)",
write={
"duckdb": "CREATE TABLE x (a UUID, b BLOB)",
"presto": "CREATE TABLE x (a UUID, b VARBINARY)",
"spark": "CREATE TABLE x (a STRING, b BINARY)",
"postgres": "CREATE TABLE x (a UUID, b BYTEA)",
},
)
self.validate_all(
"SELECT * INTO foo.bar.baz FROM (SELECT * FROM a.b.c) AS temp",
read={
"": "CREATE TABLE foo.bar.baz AS SELECT * FROM a.b.c",
"duckdb": "CREATE TABLE foo.bar.baz AS (SELECT * FROM a.b.c)",
},
)
self.validate_all(
"IF NOT EXISTS (SELECT * FROM sys.indexes WHERE object_id = object_id('db.tbl') AND name = 'idx') EXEC('CREATE INDEX idx ON db.tbl')",
read={
"": "CREATE INDEX IF NOT EXISTS idx ON db.tbl",
},
)
self.validate_all(
"IF NOT EXISTS (SELECT * FROM information_schema.schemata WHERE schema_name = 'foo') EXEC('CREATE SCHEMA foo')",
read={
"": "CREATE SCHEMA IF NOT EXISTS foo",
},
)
self.validate_all(
"IF NOT EXISTS (SELECT * FROM information_schema.tables WHERE table_name = 'baz' AND table_schema = 'bar' AND table_catalog = 'foo') EXEC('CREATE TABLE foo.bar.baz (a INTEGER)')",
read={
"": "CREATE TABLE IF NOT EXISTS foo.bar.baz (a INTEGER)",
},
)
self.validate_all(
"IF NOT EXISTS (SELECT * FROM information_schema.tables WHERE table_name = 'baz' AND table_schema = 'bar' AND table_catalog = 'foo') EXEC('SELECT * INTO foo.bar.baz FROM (SELECT ''2020'' AS z FROM a.b.c) AS temp')",
read={
"": "CREATE TABLE IF NOT EXISTS foo.bar.baz AS SELECT '2020' AS z FROM a.b.c",
},
)
self.validate_all(
"IF NOT EXISTS (SELECT * FROM information_schema.tables WHERE table_name = 'baz' AND table_schema = 'bar' AND table_catalog = 'foo') EXEC('WITH cte1 AS (SELECT 1 AS col_a), cte2 AS (SELECT 1 AS col_b) SELECT * INTO foo.bar.baz FROM (SELECT col_a FROM cte1 UNION ALL SELECT col_b FROM cte2) AS temp')",
read={
"": "CREATE TABLE IF NOT EXISTS foo.bar.baz AS WITH cte1 AS (SELECT 1 AS col_a), cte2 AS (SELECT 1 AS col_b) SELECT col_a FROM cte1 UNION ALL SELECT col_b FROM cte2"
},
)
self.validate_all(
"CREATE OR ALTER VIEW a.b AS SELECT 1",
read={
"": "CREATE OR REPLACE VIEW a.b AS SELECT 1",
},
write={
"tsql": "CREATE OR ALTER VIEW a.b AS SELECT 1",
},
)
self.validate_all(
"ALTER TABLE a ADD b INTEGER, c INTEGER",
read={
"": "ALTER TABLE a ADD COLUMN b INT, ADD COLUMN c INT",
},
write={
"": "ALTER TABLE a ADD COLUMN b INT, ADD COLUMN c INT",
"tsql": "ALTER TABLE a ADD b INTEGER, c INTEGER",
},
)
self.validate_all(
"CREATE TABLE #mytemp (a INTEGER, b CHAR(2), c TIME(4), d FLOAT(24))",
write={
"spark": "CREATE TEMPORARY TABLE mytemp (a INT, b CHAR(2), c TIMESTAMP, d FLOAT) USING PARQUET",
"tsql": "CREATE TABLE #mytemp (a INTEGER, b CHAR(2), c TIME(4), d FLOAT(24))",
},
)
for colstore in ("NONCLUSTERED COLUMNSTORE", "CLUSTERED COLUMNSTORE"):
self.validate_identity(f"CREATE {colstore} INDEX index_name ON foo.bar")
self.validate_identity(
"CREATE COLUMNSTORE INDEX index_name ON foo.bar",
"CREATE NONCLUSTERED COLUMNSTORE INDEX index_name ON foo.bar",
)
def test_insert_cte(self):
self.validate_all(
"INSERT INTO foo.bar WITH cte AS (SELECT 1 AS one) SELECT * FROM cte",
write={"tsql": "WITH cte AS (SELECT 1 AS one) INSERT INTO foo.bar SELECT * FROM cte"},
)
def test_transaction(self):
self.validate_identity("BEGIN TRANSACTION")
self.validate_all("BEGIN TRAN", write={"tsql": "BEGIN TRANSACTION"})
self.validate_identity("BEGIN TRANSACTION transaction_name")
self.validate_identity("BEGIN TRANSACTION @tran_name_variable")
self.validate_identity("BEGIN TRANSACTION transaction_name WITH MARK 'description'")
def test_commit(self):
self.validate_all("COMMIT", write={"tsql": "COMMIT TRANSACTION"})
self.validate_all("COMMIT TRAN", write={"tsql": "COMMIT TRANSACTION"})
self.validate_identity("COMMIT TRANSACTION")
self.validate_identity("COMMIT TRANSACTION transaction_name")
self.validate_identity("COMMIT TRANSACTION @tran_name_variable")
self.validate_identity(
"COMMIT TRANSACTION @tran_name_variable WITH (DELAYED_DURABILITY = ON)"
)
self.validate_identity(
"COMMIT TRANSACTION transaction_name WITH (DELAYED_DURABILITY = OFF)"
)
def test_rollback(self):
self.validate_all("ROLLBACK", write={"tsql": "ROLLBACK TRANSACTION"})
self.validate_all("ROLLBACK TRAN", write={"tsql": "ROLLBACK TRANSACTION"})
self.validate_identity("ROLLBACK TRANSACTION")
self.validate_identity("ROLLBACK TRANSACTION transaction_name")
self.validate_identity("ROLLBACK TRANSACTION @tran_name_variable")
def test_udf(self):
self.validate_identity(
"DECLARE @DWH_DateCreated AS DATETIME2 = CONVERT(DATETIME2, GETDATE(), 104)",
)
self.validate_identity(
"CREATE PROCEDURE foo @a INTEGER, @b INTEGER AS SELECT @a = SUM(bla) FROM baz AS bar"
)
self.validate_identity(
"CREATE PROC foo @ID INTEGER, @AGE INTEGER AS SELECT DB_NAME(@ID) AS ThatDB"
)
self.validate_identity("CREATE PROC foo AS SELECT BAR() AS baz")
self.validate_identity("CREATE PROCEDURE foo AS SELECT BAR() AS baz")
self.validate_identity("CREATE PROCEDURE foo WITH ENCRYPTION AS SELECT 1")
self.validate_identity("CREATE PROCEDURE foo WITH RECOMPILE AS SELECT 1")
self.validate_identity("CREATE PROCEDURE foo WITH SCHEMABINDING AS SELECT 1")
self.validate_identity("CREATE PROCEDURE foo WITH NATIVE_COMPILATION AS SELECT 1")
self.validate_identity("CREATE PROCEDURE foo WITH EXECUTE AS OWNER AS SELECT 1")
self.validate_identity("CREATE PROCEDURE foo WITH EXECUTE AS 'username' AS SELECT 1")
self.validate_identity(
"CREATE PROCEDURE foo WITH EXECUTE AS OWNER, SCHEMABINDING, NATIVE_COMPILATION AS SELECT 1"
)
self.validate_identity("CREATE FUNCTION foo(@bar INTEGER) RETURNS TABLE AS RETURN SELECT 1")
self.validate_identity("CREATE FUNCTION dbo.ISOweek(@DATE DATETIME2) RETURNS INTEGER")
# The following two cases don't necessarily correspond to valid TSQL, but they are used to verify
# that the syntax RETURNS @return_variable TABLE <table_type_definition> ... is parsed correctly.
#
# See also "Transact-SQL Multi-Statement Table-Valued Function Syntax"
# https://learn.microsoft.com/en-us/sql/t-sql/statements/create-function-transact-sql?view=sql-server-ver16
self.validate_identity(
"CREATE FUNCTION foo(@bar INTEGER) RETURNS @foo TABLE (x INTEGER, y NUMERIC) AS RETURN SELECT 1"
)
self.validate_identity(
"CREATE FUNCTION foo() RETURNS @contacts TABLE (first_name VARCHAR(50), phone VARCHAR(25)) AS SELECT @fname, @phone"
)
self.validate_all(
"""
CREATE FUNCTION udfProductInYear (
@model_year INT
)
RETURNS TABLE
AS
RETURN
SELECT
product_name,
model_year,
list_price
FROM
production.products
WHERE
model_year = @model_year
""",
write={
"tsql": """CREATE FUNCTION udfProductInYear(
@model_year INTEGER
)
RETURNS TABLE AS
RETURN SELECT
product_name,
model_year,
list_price
FROM production.products
WHERE
model_year = @model_year""",
},
pretty=True,
)
def test_procedure_keywords(self):
self.validate_identity("BEGIN")
self.validate_identity("END")
self.validate_identity("SET XACT_ABORT ON")
def test_fullproc(self):
sql = """
CREATE procedure [TRANSF].[SP_Merge_Sales_Real]
@Loadid INTEGER
,@NumberOfRows INTEGER
WITH EXECUTE AS OWNER, SCHEMABINDING, NATIVE_COMPILATION
AS
BEGIN
SET XACT_ABORT ON;
DECLARE @DWH_DateCreated AS DATETIME = CONVERT(DATETIME, getdate(), 104);
DECLARE @DWH_DateModified DATETIME2 = CONVERT(DATETIME2, GETDATE(), 104);
DECLARE @DWH_IdUserCreated INTEGER = SUSER_ID (CURRENT_USER());
DECLARE @DWH_IdUserModified INTEGER = SUSER_ID (SYSTEM_USER);
DECLARE @SalesAmountBefore float;
SELECT @SalesAmountBefore=SUM(SalesAmount) FROM TRANSF.[Pre_Merge_Sales_Real] S;
END
"""
expected_sqls = [
"CREATE PROCEDURE [TRANSF].[SP_Merge_Sales_Real] @Loadid INTEGER, @NumberOfRows INTEGER WITH EXECUTE AS OWNER, SCHEMABINDING, NATIVE_COMPILATION AS BEGIN SET XACT_ABORT ON",
"DECLARE @DWH_DateCreated AS DATETIME = CONVERT(DATETIME, GETDATE(), 104)",
"DECLARE @DWH_DateModified AS DATETIME2 = CONVERT(DATETIME2, GETDATE(), 104)",
"DECLARE @DWH_IdUserCreated AS INTEGER = SUSER_ID(CURRENT_USER())",
"DECLARE @DWH_IdUserModified AS INTEGER = SUSER_ID(CURRENT_USER())",
"DECLARE @SalesAmountBefore AS FLOAT",
"SELECT @SalesAmountBefore = SUM(SalesAmount) FROM TRANSF.[Pre_Merge_Sales_Real] AS S",
"END",
]
for expr, expected_sql in zip(parse(sql, read="tsql"), expected_sqls):
self.assertEqual(expr.sql(dialect="tsql"), expected_sql)
sql = """
CREATE PROC [dbo].[transform_proc] AS
DECLARE @CurrentDate VARCHAR(20);
SET @CurrentDate = CONVERT(VARCHAR(20), GETDATE(), 120);
CREATE TABLE [target_schema].[target_table]
(a INTEGER)
WITH (DISTRIBUTION = REPLICATE, HEAP);
"""
expected_sqls = [
"CREATE PROC [dbo].[transform_proc] AS DECLARE @CurrentDate AS VARCHAR(20)",
"SET @CurrentDate = CONVERT(VARCHAR(20), GETDATE(), 120)",
"CREATE TABLE [target_schema].[target_table] (a INTEGER) WITH (DISTRIBUTION=REPLICATE, HEAP)",
]
for expr, expected_sql in zip(parse(sql, read="tsql"), expected_sqls):
self.assertEqual(expr.sql(dialect="tsql"), expected_sql)
def test_charindex(self):
self.validate_identity(
"SELECT CAST(SUBSTRING('ABCD~1234', CHARINDEX('~', 'ABCD~1234') + 1, LEN('ABCD~1234')) AS BIGINT)"
)
self.validate_all(
"CHARINDEX(x, y, 9)",
read={
"spark": "LOCATE(x, y, 9)",
},
write={
"spark": "LOCATE(x, y, 9)",
"tsql": "CHARINDEX(x, y, 9)",
},
)
self.validate_all(
"CHARINDEX(x, y)",
read={
"spark": "LOCATE(x, y)",
},
write={
"spark": "LOCATE(x, y)",
"tsql": "CHARINDEX(x, y)",
},
)
self.validate_all(
"CHARINDEX('sub', 'testsubstring', 3)",
read={
"spark": "LOCATE('sub', 'testsubstring', 3)",
},
write={
"spark": "LOCATE('sub', 'testsubstring', 3)",
"tsql": "CHARINDEX('sub', 'testsubstring', 3)",
},
)
self.validate_all(
"CHARINDEX('sub', 'testsubstring')",
read={
"spark": "LOCATE('sub', 'testsubstring')",
},
write={
"spark": "LOCATE('sub', 'testsubstring')",
"tsql": "CHARINDEX('sub', 'testsubstring')",
},
)
def test_len(self):
self.validate_all(
"LEN(x)", read={"": "LENGTH(x)"}, write={"spark": "LENGTH(CAST(x AS STRING))"}
)
self.validate_all(
"RIGHT(x, 1)",
read={"": "RIGHT(CAST(x AS STRING), 1)"},
write={"spark": "RIGHT(CAST(x AS STRING), 1)"},
)
self.validate_all(
"LEFT(x, 1)",
read={"": "LEFT(CAST(x AS STRING), 1)"},
write={"spark": "LEFT(CAST(x AS STRING), 1)"},
)
self.validate_all("LEN(1)", write={"tsql": "LEN(1)", "spark": "LENGTH(CAST(1 AS STRING))"})
self.validate_all("LEN('x')", write={"tsql": "LEN('x')", "spark": "LENGTH('x')"})
def test_replicate(self):
self.validate_all(
"REPLICATE('x', 2)",
write={
"spark": "REPEAT('x', 2)",
"tsql": "REPLICATE('x', 2)",
},
)
def test_isnull(self):
self.validate_all("ISNULL(x, y)", write={"spark": "COALESCE(x, y)"})
def test_json(self):
self.validate_identity(
"""JSON_QUERY(REPLACE(REPLACE(x , '''', '"'), '""', '"'))""",
"""ISNULL(JSON_QUERY(REPLACE(REPLACE(x, '''', '"'), '""', '"'), '$'), JSON_VALUE(REPLACE(REPLACE(x, '''', '"'), '""', '"'), '$'))""",
)
self.validate_all(
"JSON_QUERY(r.JSON, '$.Attr_INT')",
write={
"spark": "GET_JSON_OBJECT(r.JSON, '$.Attr_INT')",
"tsql": "ISNULL(JSON_QUERY(r.JSON, '$.Attr_INT'), JSON_VALUE(r.JSON, '$.Attr_INT'))",
},
)
self.validate_all(
"JSON_VALUE(r.JSON, '$.Attr_INT')",
write={
"spark": "GET_JSON_OBJECT(r.JSON, '$.Attr_INT')",
"tsql": "ISNULL(JSON_QUERY(r.JSON, '$.Attr_INT'), JSON_VALUE(r.JSON, '$.Attr_INT'))",
},
)
def test_datefromparts(self):
self.validate_all(
"SELECT DATEFROMPARTS('2020', 10, 01)",
write={
"spark": "SELECT MAKE_DATE('2020', 10, 01)",
"tsql": "SELECT DATEFROMPARTS('2020', 10, 01)",
},
)
def test_datename(self):
self.validate_all(
"SELECT DATENAME(mm, '1970-01-01')",
write={
"spark": "SELECT DATE_FORMAT(CAST('1970-01-01' AS TIMESTAMP), 'MMMM')",
"tsql": "SELECT FORMAT(CAST('1970-01-01' AS DATETIME2), 'MMMM')",
},
)
self.validate_all(
"SELECT DATENAME(dw, '1970-01-01')",
write={
"spark": "SELECT DATE_FORMAT(CAST('1970-01-01' AS TIMESTAMP), 'EEEE')",
"tsql": "SELECT FORMAT(CAST('1970-01-01' AS DATETIME2), 'dddd')",
},
)
def test_datepart(self):
self.validate_identity(
"DATEPART(QUARTER, x)",
"DATEPART(QUARTER, CAST(x AS DATETIME2))",
)
self.validate_identity(
"DATEPART(YEAR, x)",
"FORMAT(CAST(x AS DATETIME2), 'yyyy')",
)
self.validate_identity(
"DATEPART(HOUR, date_and_time)",
"DATEPART(HOUR, CAST(date_and_time AS DATETIME2))",
)
self.validate_identity(
"DATEPART(WEEKDAY, date_and_time)",
"DATEPART(DW, CAST(date_and_time AS DATETIME2))",
)
self.validate_identity(
"DATEPART(DW, date_and_time)",
"DATEPART(DW, CAST(date_and_time AS DATETIME2))",
)
self.validate_all(
"SELECT DATEPART(month,'1970-01-01')",
write={
"postgres": "SELECT TO_CHAR(CAST('1970-01-01' AS TIMESTAMP), 'MM')",
"spark": "SELECT DATE_FORMAT(CAST('1970-01-01' AS TIMESTAMP), 'MM')",
"tsql": "SELECT FORMAT(CAST('1970-01-01' AS DATETIME2), 'MM')",
},
)
self.validate_all(
"SELECT DATEPART(YEAR, CAST('2017-01-01' AS DATE))",
read={
"postgres": "SELECT DATE_PART('YEAR', '2017-01-01'::DATE)",
},
write={
"postgres": "SELECT TO_CHAR(CAST(CAST('2017-01-01' AS DATE) AS TIMESTAMP), 'YYYY')",
"spark": "SELECT DATE_FORMAT(CAST(CAST('2017-01-01' AS DATE) AS TIMESTAMP), 'yyyy')",
"tsql": "SELECT FORMAT(CAST(CAST('2017-01-01' AS DATE) AS DATETIME2), 'yyyy')",
},
)
self.validate_all(
"SELECT DATEPART(month, CAST('2017-03-01' AS DATE))",
read={
"postgres": "SELECT DATE_PART('month', '2017-03-01'::DATE)",
},
write={
"postgres": "SELECT TO_CHAR(CAST(CAST('2017-03-01' AS DATE) AS TIMESTAMP), 'MM')",
"spark": "SELECT DATE_FORMAT(CAST(CAST('2017-03-01' AS DATE) AS TIMESTAMP), 'MM')",
"tsql": "SELECT FORMAT(CAST(CAST('2017-03-01' AS DATE) AS DATETIME2), 'MM')",
},
)
self.validate_all(
"SELECT DATEPART(day, CAST('2017-01-02' AS DATE))",
read={
"postgres": "SELECT DATE_PART('day', '2017-01-02'::DATE)",
},
write={
"postgres": "SELECT TO_CHAR(CAST(CAST('2017-01-02' AS DATE) AS TIMESTAMP), 'DD')",
"spark": "SELECT DATE_FORMAT(CAST(CAST('2017-01-02' AS DATE) AS TIMESTAMP), 'dd')",
"tsql": "SELECT FORMAT(CAST(CAST('2017-01-02' AS DATE) AS DATETIME2), 'dd')",
},
)
for fmt in ("WEEK", "WW", "WK"):
self.validate_identity(
f"SELECT DATEPART({fmt}, '2024-11-21')",
"SELECT DATEPART(WK, CAST('2024-11-21' AS DATETIME2))",
)
def test_convert(self):
self.validate_all(
"CONVERT(NVARCHAR(200), x)",
write={
"spark": "CAST(x AS VARCHAR(200))",
"tsql": "CONVERT(NVARCHAR(200), x)",
},
)
self.validate_all(
"CONVERT(NVARCHAR, x)",
write={
"spark": "CAST(x AS VARCHAR(30))",
"tsql": "CONVERT(NVARCHAR, x)",
},
)
self.validate_all(
"CONVERT(NVARCHAR(MAX), x)",
write={
"spark": "CAST(x AS STRING)",
"tsql": "CONVERT(NVARCHAR(MAX), x)",
},
)
self.validate_all(
"CONVERT(VARCHAR(200), x)",
write={
"spark": "CAST(x AS VARCHAR(200))",
"tsql": "CONVERT(VARCHAR(200), x)",
},
)
self.validate_all(
"CONVERT(VARCHAR, x)",
write={
"spark": "CAST(x AS VARCHAR(30))",
"tsql": "CONVERT(VARCHAR, x)",
},
)
self.validate_all(
"CONVERT(VARCHAR(MAX), x)",
write={
"spark": "CAST(x AS STRING)",
"tsql": "CONVERT(VARCHAR(MAX), x)",
},
)
self.validate_all(
"CONVERT(CHAR(40), x)",
write={
"spark": "CAST(x AS CHAR(40))",
"tsql": "CONVERT(CHAR(40), x)",
},
)
self.validate_all(
"CONVERT(CHAR, x)",
write={
"spark": "CAST(x AS CHAR(30))",
"tsql": "CONVERT(CHAR, x)",
},
)
self.validate_all(
"CONVERT(NCHAR(40), x)",
write={
"spark": "CAST(x AS CHAR(40))",
"tsql": "CONVERT(NCHAR(40), x)",
},
)
self.validate_all(
"CONVERT(NCHAR, x)",
write={
"spark": "CAST(x AS CHAR(30))",
"tsql": "CONVERT(NCHAR, x)",
},
)
self.validate_all(
"CONVERT(VARCHAR, x, 121)",
write={
"spark": "CAST(DATE_FORMAT(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS') AS VARCHAR(30))",
"tsql": "CONVERT(VARCHAR, x, 121)",
},
)
self.validate_all(
"CONVERT(VARCHAR(40), x, 121)",
write={
"spark": "CAST(DATE_FORMAT(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS') AS VARCHAR(40))",
"tsql": "CONVERT(VARCHAR(40), x, 121)",
},
)
self.validate_all(
"CONVERT(VARCHAR(MAX), x, 121)",
write={
"spark": "CAST(DATE_FORMAT(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS') AS STRING)",
"tsql": "CONVERT(VARCHAR(MAX), x, 121)",
},
)
self.validate_all(
"CONVERT(NVARCHAR, x, 121)",
write={
"spark": "CAST(DATE_FORMAT(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS') AS VARCHAR(30))",
"tsql": "CONVERT(NVARCHAR, x, 121)",
},
)
self.validate_all(
"CONVERT(NVARCHAR(40), x, 121)",
write={
"spark": "CAST(DATE_FORMAT(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS') AS VARCHAR(40))",
"tsql": "CONVERT(NVARCHAR(40), x, 121)",
},
)
self.validate_all(
"CONVERT(NVARCHAR(MAX), x, 121)",
write={
"spark": "CAST(DATE_FORMAT(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS') AS STRING)",
"tsql": "CONVERT(NVARCHAR(MAX), x, 121)",
},
)
self.validate_all(
"CONVERT(DATE, x, 121)",
write={
"spark": "TO_DATE(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS')",
"tsql": "CONVERT(DATE, x, 121)",
},
)
self.validate_all(
"CONVERT(DATETIME, x, 121)",
write={
"spark": "TO_TIMESTAMP(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS')",
"tsql": "CONVERT(DATETIME, x, 121)",
},
)
self.validate_all(
"CONVERT(DATETIME2, x, 121)",
write={
"spark": "TO_TIMESTAMP(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS')",
"tsql": "CONVERT(DATETIME2, x, 121)",
},
)
self.validate_all(
"CONVERT(INT, x)",
write={
"spark": "CAST(x AS INT)",
"tsql": "CONVERT(INTEGER, x)",
},
)
self.validate_all(
"CONVERT(INT, x, 121)",
write={
"spark": "CAST(x AS INT)",
"tsql": "CONVERT(INTEGER, x, 121)",
},
)
self.validate_all(
"TRY_CONVERT(NVARCHAR, x, 121)",
write={
"spark": "TRY_CAST(DATE_FORMAT(x, 'yyyy-MM-dd HH:mm:ss.SSSSSS') AS VARCHAR(30))",
"tsql": "TRY_CONVERT(NVARCHAR, x, 121)",
},
)
self.validate_all(
"TRY_CONVERT(INT, x)",
write={
"spark": "TRY_CAST(x AS INT)",
"tsql": "TRY_CONVERT(INTEGER, x)",
},
)
self.validate_all(
"TRY_CAST(x AS INT)",
write={
"spark": "TRY_CAST(x AS INT)",
"tsql": "TRY_CAST(x AS INTEGER)",
},
)
self.validate_all(
"SELECT CONVERT(VARCHAR(10), testdb.dbo.test.x, 120) y FROM testdb.dbo.test",
write={
"mysql": "SELECT CAST(DATE_FORMAT(testdb.dbo.test.x, '%Y-%m-%d %T') AS CHAR(10)) AS y FROM testdb.dbo.test",
"spark": "SELECT CAST(DATE_FORMAT(testdb.dbo.test.x, 'yyyy-MM-dd HH:mm:ss') AS VARCHAR(10)) AS y FROM testdb.dbo.test",
"tsql": "SELECT CONVERT(VARCHAR(10), testdb.dbo.test.x, 120) AS y FROM testdb.dbo.test",
},
)
self.validate_all(
"SELECT CONVERT(VARCHAR(10), y.x) z FROM testdb.dbo.test y",
write={
"mysql": "SELECT CAST(y.x AS CHAR(10)) AS z FROM testdb.dbo.test AS y",
"spark": "SELECT CAST(y.x AS VARCHAR(10)) AS z FROM testdb.dbo.test AS y",
"tsql": "SELECT CONVERT(VARCHAR(10), y.x) AS z FROM testdb.dbo.test AS y",
},
)
self.validate_all(
"SELECT CAST((SELECT x FROM y) AS VARCHAR) AS test",
write={
"spark": "SELECT CAST((SELECT x FROM y) AS STRING) AS test",
"tsql": "SELECT CAST((SELECT x FROM y) AS VARCHAR) AS test",
},
)
def test_add_date(self):
self.validate_identity("SELECT DATEADD(YEAR, 1, '2017/08/25')")
self.validate_all(
"DATEADD(year, 50, '2006-07-31')",
write={"bigquery": "DATE_ADD('2006-07-31', INTERVAL 50 YEAR)"},
)
self.validate_all(
"SELECT DATEADD(year, 1, '2017/08/25')",
write={"spark": "SELECT ADD_MONTHS('2017/08/25', 12)"},
)
self.validate_all(
"SELECT DATEADD(qq, 1, '2017/08/25')",
write={"spark": "SELECT ADD_MONTHS('2017/08/25', 3)"},
)
self.validate_all(
"SELECT DATEADD(wk, 1, '2017/08/25')",
write={
"spark": "SELECT DATE_ADD('2017/08/25', 7)",
"databricks": "SELECT DATEADD(WEEK, 1, '2017/08/25')",
},
)
def test_date_diff(self):
self.validate_identity("SELECT DATEDIFF(HOUR, 1.5, '2021-01-01')")
self.validate_all(
"SELECT DATEDIFF(quarter, 0, '2021-01-01')",
write={
"tsql": "SELECT DATEDIFF(QUARTER, CAST('1900-01-01' AS DATETIME2), CAST('2021-01-01' AS DATETIME2))",
"spark": "SELECT DATEDIFF(QUARTER, CAST('1900-01-01' AS TIMESTAMP), CAST('2021-01-01' AS TIMESTAMP))",
"duckdb": "SELECT DATE_DIFF('QUARTER', CAST('1900-01-01' AS TIMESTAMP), CAST('2021-01-01' AS TIMESTAMP))",
},
)
self.validate_all(
"SELECT DATEDIFF(day, 1, '2021-01-01')",
write={
"tsql": "SELECT DATEDIFF(DAY, CAST('1900-01-02' AS DATETIME2), CAST('2021-01-01' AS DATETIME2))",
"spark": "SELECT DATEDIFF(DAY, CAST('1900-01-02' AS TIMESTAMP), CAST('2021-01-01' AS TIMESTAMP))",
"duckdb": "SELECT DATE_DIFF('DAY', CAST('1900-01-02' AS TIMESTAMP), CAST('2021-01-01' AS TIMESTAMP))",
},
)
self.validate_all(
"SELECT DATEDIFF(year, '2020-01-01', '2021-01-01')",
write={
"tsql": "SELECT DATEDIFF(YEAR, CAST('2020-01-01' AS DATETIME2), CAST('2021-01-01' AS DATETIME2))",
"spark": "SELECT DATEDIFF(YEAR, CAST('2020-01-01' AS TIMESTAMP), CAST('2021-01-01' AS TIMESTAMP))",
"spark2": "SELECT CAST(MONTHS_BETWEEN(CAST('2021-01-01' AS TIMESTAMP), CAST('2020-01-01' AS TIMESTAMP)) / 12 AS INT)",
},
)
self.validate_all(
"SELECT DATEDIFF(mm, 'start', 'end')",
write={
"databricks": "SELECT DATEDIFF(MONTH, CAST('start' AS TIMESTAMP), CAST('end' AS TIMESTAMP))",
"spark2": "SELECT CAST(MONTHS_BETWEEN(CAST('end' AS TIMESTAMP), CAST('start' AS TIMESTAMP)) AS INT)",
"tsql": "SELECT DATEDIFF(MONTH, CAST('start' AS DATETIME2), CAST('end' AS DATETIME2))",
},
)
self.validate_all(
"SELECT DATEDIFF(quarter, 'start', 'end')",
write={
"databricks": "SELECT DATEDIFF(QUARTER, CAST('start' AS TIMESTAMP), CAST('end' AS TIMESTAMP))",
"spark": "SELECT DATEDIFF(QUARTER, CAST('start' AS TIMESTAMP), CAST('end' AS TIMESTAMP))",
"spark2": "SELECT CAST(MONTHS_BETWEEN(CAST('end' AS TIMESTAMP), CAST('start' AS TIMESTAMP)) / 3 AS INT)",
"tsql": "SELECT DATEDIFF(QUARTER, CAST('start' AS DATETIME2), CAST('end' AS DATETIME2))",
},
)
# Check superfluous casts arent added. ref: https://github.com/TobikoData/sqlmesh/issues/2672
self.validate_all(
"SELECT DATEDIFF(DAY, CAST(a AS DATETIME2), CAST(b AS DATETIME2)) AS x FROM foo",
write={
"tsql": "SELECT DATEDIFF(DAY, CAST(a AS DATETIME2), CAST(b AS DATETIME2)) AS x FROM foo",
"clickhouse": "SELECT DATE_DIFF(DAY, CAST(CAST(a AS Nullable(DateTime)) AS DateTime64(6)), CAST(CAST(b AS Nullable(DateTime)) AS DateTime64(6))) AS x FROM foo",
},
)
self.validate_identity(
"SELECT DATEADD(DAY, DATEDIFF(DAY, -3, GETDATE()), '08:00:00')",
"SELECT DATEADD(DAY, DATEDIFF(DAY, CAST('1899-12-29' AS DATETIME2), CAST(GETDATE() AS DATETIME2)), '08:00:00')",
)
def test_lateral_subquery(self):
self.validate_all(
"SELECT x.a, x.b, t.v, t.y FROM x CROSS APPLY (SELECT v, y FROM t) t(v, y)",
write={
"spark": "SELECT x.a, x.b, t.v, t.y FROM x INNER JOIN LATERAL (SELECT v, y FROM t) AS t(v, y)",
"tsql": "SELECT x.a, x.b, t.v, t.y FROM x CROSS APPLY (SELECT v, y FROM t) AS t(v, y)",
},
)
self.validate_all(
"SELECT x.a, x.b, t.v, t.y FROM x OUTER APPLY (SELECT v, y FROM t) t(v, y)",
write={
"spark": "SELECT x.a, x.b, t.v, t.y FROM x LEFT JOIN LATERAL (SELECT v, y FROM t) AS t(v, y)",
"tsql": "SELECT x.a, x.b, t.v, t.y FROM x OUTER APPLY (SELECT v, y FROM t) AS t(v, y)",
},
)
self.validate_all(
"SELECT x.a, x.b, t.v, t.y, s.v, s.y FROM x OUTER APPLY (SELECT v, y FROM t) t(v, y) OUTER APPLY (SELECT v, y FROM t) s(v, y) LEFT JOIN z ON z.id = s.id",
write={
"spark": "SELECT x.a, x.b, t.v, t.y, s.v, s.y FROM x LEFT JOIN LATERAL (SELECT v, y FROM t) AS t(v, y) LEFT JOIN LATERAL (SELECT v, y FROM t) AS s(v, y) LEFT JOIN z ON z.id = s.id",
"tsql": "SELECT x.a, x.b, t.v, t.y, s.v, s.y FROM x OUTER APPLY (SELECT v, y FROM t) AS t(v, y) OUTER APPLY (SELECT v, y FROM t) AS s(v, y) LEFT JOIN z ON z.id = s.id",
},
)
def test_lateral_table_valued_function(self):
self.validate_all(
"SELECT t.x, y.z FROM x CROSS APPLY tvfTest(t.x) y(z)",
write={
"spark": "SELECT t.x, y.z FROM x INNER JOIN LATERAL TVFTEST(t.x) AS y(z)",
"tsql": "SELECT t.x, y.z FROM x CROSS APPLY TVFTEST(t.x) AS y(z)",
},
)
self.validate_all(
"SELECT t.x, y.z FROM x OUTER APPLY tvfTest(t.x)y(z)",
write={
"spark": "SELECT t.x, y.z FROM x LEFT JOIN LATERAL TVFTEST(t.x) AS y(z)",
"tsql": "SELECT t.x, y.z FROM x OUTER APPLY TVFTEST(t.x) AS y(z)",
},
)
self.validate_all(
"SELECT t.x, y.z FROM x OUTER APPLY a.b.tvfTest(t.x)y(z)",
write={
"spark": "SELECT t.x, y.z FROM x LEFT JOIN LATERAL a.b.tvfTest(t.x) AS y(z)",
"tsql": "SELECT t.x, y.z FROM x OUTER APPLY a.b.tvfTest(t.x) AS y(z)",
},
)
def test_top(self):
self.validate_all(
"SELECT DISTINCT TOP 3 * FROM A",
read={
"spark": "SELECT DISTINCT * FROM A LIMIT 3",
},
write={
"spark": "SELECT DISTINCT * FROM A LIMIT 3",
"teradata": "SELECT DISTINCT TOP 3 * FROM A",
"tsql": "SELECT DISTINCT TOP 3 * FROM A",
},
)
self.validate_all(
"SELECT TOP (3) * FROM A",
write={
"spark": "SELECT * FROM A LIMIT 3",
},
)
self.validate_identity("SELECT TOP 10 PERCENT")
self.validate_identity("SELECT TOP 10 PERCENT WITH TIES")
def test_format(self):
self.validate_identity("SELECT FORMAT(foo, 'dddd', 'de-CH')")
self.validate_identity("SELECT FORMAT(EndOfDayRate, 'N', 'en-us')")
self.validate_identity("SELECT FORMAT('01-01-1991', 'd.mm.yyyy')")
self.validate_identity("SELECT FORMAT(12345, '###.###.###')")
self.validate_identity("SELECT FORMAT(1234567, 'f')")
self.validate_all(
"SELECT FORMAT(1000000.01,'###,###.###')",
write={
"spark": "SELECT FORMAT_NUMBER(1000000.01, '###,###.###')",
"tsql": "SELECT FORMAT(1000000.01, '###,###.###')",
},
)
self.validate_all(
"SELECT FORMAT(1234567, 'f')",
write={
"spark": "SELECT FORMAT_NUMBER(1234567, 'f')",
"tsql": "SELECT FORMAT(1234567, 'f')",
},
)
self.validate_all(
"SELECT FORMAT('01-01-1991', 'dd.mm.yyyy')",
write={
"spark": "SELECT DATE_FORMAT('01-01-1991', 'dd.mm.yyyy')",
"tsql": "SELECT FORMAT('01-01-1991', 'dd.mm.yyyy')",
},
)
self.validate_all(
"SELECT FORMAT(date_col, 'dd.mm.yyyy')",
write={
"spark": "SELECT DATE_FORMAT(date_col, 'dd.mm.yyyy')",
"tsql": "SELECT FORMAT(date_col, 'dd.mm.yyyy')",
},
)
self.validate_all(
"SELECT FORMAT(date_col, 'm')",
write={
"spark": "SELECT DATE_FORMAT(date_col, 'MMMM d')",
"tsql": "SELECT FORMAT(date_col, 'MMMM d')",
},
)
self.validate_all(
"SELECT FORMAT(num_col, 'c')",
write={
"spark": "SELECT FORMAT_NUMBER(num_col, 'c')",
"tsql": "SELECT FORMAT(num_col, 'c')",
},
)
def test_string(self):
self.validate_all(
"SELECT N'test'",
write={"spark": "SELECT 'test'"},
)
self.validate_all(
"SELECT n'test'",
write={"spark": "SELECT 'test'"},
)
self.validate_all(
"SELECT '''test'''",
write={"spark": r"SELECT '\'test\''"},
)
def test_eomonth(self):
self.validate_all(
"EOMONTH(GETDATE())",
read={
"spark": "LAST_DAY(CURRENT_TIMESTAMP())",
},
write={
"bigquery": "LAST_DAY(CAST(CURRENT_TIMESTAMP() AS DATE))",
"clickhouse": "LAST_DAY(CAST(CURRENT_TIMESTAMP() AS Nullable(DATE)))",
"duckdb": "LAST_DAY(CAST(CURRENT_TIMESTAMP AS DATE))",
"mysql": "LAST_DAY(DATE(CURRENT_TIMESTAMP()))",
"postgres": "CAST(DATE_TRUNC('MONTH', CAST(CURRENT_TIMESTAMP AS DATE)) + INTERVAL '1 MONTH' - INTERVAL '1 DAY' AS DATE)",
"presto": "LAST_DAY_OF_MONTH(CAST(CAST(CURRENT_TIMESTAMP AS TIMESTAMP) AS DATE))",
"redshift": "LAST_DAY(CAST(GETDATE() AS DATE))",
"snowflake": "LAST_DAY(TO_DATE(CURRENT_TIMESTAMP()))",
"spark": "LAST_DAY(TO_DATE(CURRENT_TIMESTAMP()))",
"tsql": "EOMONTH(CAST(GETDATE() AS DATE))",
},
)
self.validate_all(
"EOMONTH(GETDATE(), -1)",
write={
"bigquery": "LAST_DAY(DATE_ADD(CAST(CURRENT_TIMESTAMP() AS DATE), INTERVAL -1 MONTH))",
"clickhouse": "LAST_DAY(DATE_ADD(MONTH, -1, CAST(CURRENT_TIMESTAMP() AS Nullable(DATE))))",
"duckdb": "LAST_DAY(CAST(CURRENT_TIMESTAMP AS DATE) + INTERVAL (-1) MONTH)",
"mysql": "LAST_DAY(DATE_ADD(CURRENT_TIMESTAMP(), INTERVAL -1 MONTH))",
"postgres": "CAST(DATE_TRUNC('MONTH', CAST(CURRENT_TIMESTAMP AS DATE) + INTERVAL '-1 MONTH') + INTERVAL '1 MONTH' - INTERVAL '1 DAY' AS DATE)",
"presto": "LAST_DAY_OF_MONTH(DATE_ADD('MONTH', -1, CAST(CAST(CURRENT_TIMESTAMP AS TIMESTAMP) AS DATE)))",
"redshift": "LAST_DAY(DATEADD(MONTH, -1, CAST(GETDATE() AS DATE)))",
"snowflake": "LAST_DAY(DATEADD(MONTH, -1, TO_DATE(CURRENT_TIMESTAMP())))",
"spark": "LAST_DAY(ADD_MONTHS(TO_DATE(CURRENT_TIMESTAMP()), -1))",
"tsql": "EOMONTH(DATEADD(MONTH, -1, CAST(GETDATE() AS DATE)))",
},
)
def test_identifier_prefixes(self):
self.assertTrue(
self.validate_identity("#x")
.assert_is(exp.Column)
.this.assert_is(exp.Identifier)
.args.get("temporary")
)
self.assertTrue(
self.validate_identity("##x")
.assert_is(exp.Column)
.this.assert_is(exp.Identifier)
.args.get("global")
)
self.validate_identity("@x").assert_is(exp.Parameter).this.assert_is(exp.Var)
self.validate_identity("SELECT * FROM @x").args["from"].this.assert_is(
exp.Table
).this.assert_is(exp.Parameter).this.assert_is(exp.Var)
self.validate_all(
"SELECT @x",
write={
"databricks": "SELECT ${x}",
"hive": "SELECT ${x}",
"spark": "SELECT ${x}",
"tsql": "SELECT @x",
},
)
self.validate_all(
"SELECT * FROM #mytemptable",
write={
"duckdb": "SELECT * FROM mytemptable",
"spark": "SELECT * FROM mytemptable",
"tsql": "SELECT * FROM #mytemptable",
},
)
self.validate_all(
"SELECT * FROM ##mytemptable",
write={
"duckdb": "SELECT * FROM mytemptable",
"spark": "SELECT * FROM mytemptable",
"tsql": "SELECT * FROM ##mytemptable",
},
)
def test_temporal_table(self):
self.validate_identity(
"""CREATE TABLE test ("data" CHAR(7), "valid_from" DATETIME2(2) GENERATED ALWAYS AS ROW START NOT NULL, "valid_to" DATETIME2(2) GENERATED ALWAYS AS ROW END NOT NULL, PERIOD FOR SYSTEM_TIME ("valid_from", "valid_to")) WITH(SYSTEM_VERSIONING=ON)""",
"CREATE TABLE test ([data] CHAR(7), [valid_from] DATETIME2(2) GENERATED ALWAYS AS ROW START NOT NULL, [valid_to] DATETIME2(2) GENERATED ALWAYS AS ROW END NOT NULL, PERIOD FOR SYSTEM_TIME ([valid_from], [valid_to])) WITH(SYSTEM_VERSIONING=ON)",
)
self.validate_identity(
"""CREATE TABLE test ([data] CHAR(7), [valid_from] DATETIME2(2) GENERATED ALWAYS AS ROW START HIDDEN NOT NULL, [valid_to] DATETIME2(2) GENERATED ALWAYS AS ROW END HIDDEN NOT NULL, PERIOD FOR SYSTEM_TIME ([valid_from], [valid_to])) WITH(SYSTEM_VERSIONING=ON(HISTORY_TABLE=[dbo].[benchmark_history], DATA_CONSISTENCY_CHECK=ON))"""
)
self.validate_identity(
"""CREATE TABLE test ([data] CHAR(7), [valid_from] DATETIME2(2) GENERATED ALWAYS AS ROW START NOT NULL, [valid_to] DATETIME2(2) GENERATED ALWAYS AS ROW END NOT NULL, PERIOD FOR SYSTEM_TIME ([valid_from], [valid_to])) WITH(SYSTEM_VERSIONING=ON(HISTORY_TABLE=[dbo].[benchmark_history], DATA_CONSISTENCY_CHECK=ON))"""
)
self.validate_identity(
"""CREATE TABLE test ([data] CHAR(7), [valid_from] DATETIME2(2) GENERATED ALWAYS AS ROW START NOT NULL, [valid_to] DATETIME2(2) GENERATED ALWAYS AS ROW END NOT NULL, PERIOD FOR SYSTEM_TIME ([valid_from], [valid_to])) WITH(SYSTEM_VERSIONING=ON(HISTORY_TABLE=[dbo].[benchmark_history], DATA_CONSISTENCY_CHECK=OFF))"""
)
self.validate_identity(
"""CREATE TABLE test ([data] CHAR(7), [valid_from] DATETIME2(2) GENERATED ALWAYS AS ROW START NOT NULL, [valid_to] DATETIME2(2) GENERATED ALWAYS AS ROW END NOT NULL, PERIOD FOR SYSTEM_TIME ([valid_from], [valid_to])) WITH(SYSTEM_VERSIONING=ON(HISTORY_TABLE=[dbo].[benchmark_history]))"""
)
self.validate_identity(
"""CREATE TABLE test ([data] CHAR(7), [valid_from] DATETIME2(2) GENERATED ALWAYS AS ROW START NOT NULL, [valid_to] DATETIME2(2) GENERATED ALWAYS AS ROW END NOT NULL, PERIOD FOR SYSTEM_TIME ([valid_from], [valid_to])) WITH(SYSTEM_VERSIONING=ON(HISTORY_TABLE=[dbo].[benchmark_history]))"""
)
def test_system_time(self):
self.validate_identity("SELECT [x] FROM [a].[b] FOR SYSTEM_TIME AS OF 'foo'")
self.validate_identity("SELECT [x] FROM [a].[b] FOR SYSTEM_TIME AS OF 'foo' AS alias")
self.validate_identity("SELECT [x] FROM [a].[b] FOR SYSTEM_TIME FROM c TO d")
self.validate_identity("SELECT [x] FROM [a].[b] FOR SYSTEM_TIME BETWEEN c AND d")
self.validate_identity("SELECT [x] FROM [a].[b] FOR SYSTEM_TIME CONTAINED IN (c, d)")
self.validate_identity("SELECT [x] FROM [a].[b] FOR SYSTEM_TIME ALL AS alias")
def test_current_user(self):
self.validate_all(
"SUSER_NAME()",
write={"spark": "CURRENT_USER()"},
)
self.validate_all(
"SUSER_SNAME()",
write={"spark": "CURRENT_USER()"},
)
self.validate_all(
"SYSTEM_USER()",
write={"spark": "CURRENT_USER()"},
)
self.validate_all(
"SYSTEM_USER",
write={"spark": "CURRENT_USER()"},
)
def test_hints(self):
self.validate_all(
"SELECT x FROM a INNER HASH JOIN b ON b.id = a.id",
write={"spark": "SELECT x FROM a INNER JOIN b ON b.id = a.id"},
)
self.validate_all(
"SELECT x FROM a INNER LOOP JOIN b ON b.id = a.id",
write={"spark": "SELECT x FROM a INNER JOIN b ON b.id = a.id"},
)
self.validate_all(
"SELECT x FROM a INNER REMOTE JOIN b ON b.id = a.id",
write={"spark": "SELECT x FROM a INNER JOIN b ON b.id = a.id"},
)
self.validate_all(
"SELECT x FROM a INNER MERGE JOIN b ON b.id = a.id",
write={"spark": "SELECT x FROM a INNER JOIN b ON b.id = a.id"},
)
self.validate_all(
"SELECT x FROM a WITH (NOLOCK)",
write={
"spark": "SELECT x FROM a",
"tsql": "SELECT x FROM a WITH (NOLOCK)",
"": "SELECT x FROM a WITH (NOLOCK)",
},
)
self.validate_identity("SELECT x FROM a INNER LOOP JOIN b ON b.id = a.id")
def test_openjson(self):
self.validate_identity("SELECT * FROM OPENJSON(@json)")
self.validate_all(
"""SELECT [key], value FROM OPENJSON(@json,'$.path.to."sub-object"')""",
write={
"tsql": """SELECT [key], value FROM OPENJSON(@json, '$.path.to."sub-object"')""",
},
)
self.validate_all(
"SELECT * FROM OPENJSON(@array) WITH (month VARCHAR(3), temp int, month_id tinyint '$.sql:identity()') as months",
write={
"tsql": "SELECT * FROM OPENJSON(@array) WITH (month VARCHAR(3), temp INTEGER, month_id TINYINT '$.sql:identity()') AS months",
},
)
self.validate_all(
"""
SELECT *
FROM OPENJSON ( @json )
WITH (
Number VARCHAR(200) '$.Order.Number',
Date DATETIME '$.Order.Date',
Customer VARCHAR(200) '$.AccountNumber',
Quantity INT '$.Item.Quantity',
[Order] NVARCHAR(MAX) AS JSON
)
""",
write={
"tsql": """SELECT
*
FROM OPENJSON(@json) WITH (
Number VARCHAR(200) '$.Order.Number',
Date DATETIME '$.Order.Date',
Customer VARCHAR(200) '$.AccountNumber',
Quantity INTEGER '$.Item.Quantity',
[Order] NVARCHAR(MAX) AS JSON
)"""
},
pretty=True,
)
def test_set(self):
self.validate_all(
"SET KEY VALUE",
write={
"tsql": "SET KEY VALUE",
"duckdb": "SET KEY = VALUE",
"spark": "SET KEY = VALUE",
},
)
self.validate_all(
"SET @count = (SELECT COUNT(1) FROM x)",
write={
"databricks": "SET count = (SELECT COUNT(1) FROM x)",
"tsql": "SET @count = (SELECT COUNT(1) FROM x)",
"spark": "SET count = (SELECT COUNT(1) FROM x)",
},
)
def test_qualify_derived_table_outputs(self):
self.validate_identity(
"WITH t AS (SELECT 1) SELECT * FROM t",
"WITH t AS (SELECT 1 AS [1]) SELECT * FROM t",
)
self.validate_identity(
'WITH t AS (SELECT "c") SELECT * FROM t',
"WITH t AS (SELECT [c] AS [c]) SELECT * FROM t",
)
self.validate_identity(
"SELECT * FROM (SELECT 1) AS subq",
"SELECT * FROM (SELECT 1 AS [1]) AS subq",
)
self.validate_identity(
'SELECT * FROM (SELECT "c") AS subq',
"SELECT * FROM (SELECT [c] AS [c]) AS subq",
)
self.validate_all(
"WITH t1(c) AS (SELECT 1), t2 AS (SELECT CAST(c AS INTEGER) AS c FROM t1) SELECT * FROM t2",
read={
"duckdb": "WITH t1(c) AS (SELECT 1), t2 AS (SELECT CAST(c AS INTEGER) FROM t1) SELECT * FROM t2",
},
)
def test_declare(self):
# supported cases
self.validate_identity("DECLARE @X INT", "DECLARE @X AS INTEGER")
self.validate_identity("DECLARE @X INT = 1", "DECLARE @X AS INTEGER = 1")
self.validate_identity(
"DECLARE @X INT, @Y VARCHAR(10)", "DECLARE @X AS INTEGER, @Y AS VARCHAR(10)"
)
self.validate_identity(
"declare @X int = (select col from table where id = 1)",
"DECLARE @X AS INTEGER = (SELECT col FROM table WHERE id = 1)",
)
self.validate_identity(
"declare @X TABLE (Id INT NOT NULL, Name VARCHAR(100) NOT NULL)",
"DECLARE @X AS TABLE (Id INTEGER NOT NULL, Name VARCHAR(100) NOT NULL)",
)
self.validate_identity(
"declare @X TABLE (Id INT NOT NULL, constraint PK_Id primary key (Id))",
"DECLARE @X AS TABLE (Id INTEGER NOT NULL, CONSTRAINT PK_Id PRIMARY KEY (Id))",
)
self.validate_identity(
"declare @X UserDefinedTableType",
"DECLARE @X AS UserDefinedTableType",
)
self.validate_identity(
"DECLARE @MyTableVar TABLE (EmpID INT NOT NULL, PRIMARY KEY CLUSTERED (EmpID), UNIQUE NONCLUSTERED (EmpID), INDEX CustomNonClusteredIndex NONCLUSTERED (EmpID))",
check_command_warning=True,
)
self.validate_identity(
"DECLARE vendor_cursor CURSOR FOR SELECT VendorID, Name FROM Purchasing.Vendor WHERE PreferredVendorStatus = 1 ORDER BY VendorID",
check_command_warning=True,
)
def test_scope_resolution_op(self):
# we still want to support :: casting shorthand for tsql
self.validate_identity("x::int", "CAST(x AS INTEGER)")
self.validate_identity("x::varchar", "CAST(x AS VARCHAR)")
self.validate_identity("x::varchar(MAX)", "CAST(x AS VARCHAR(MAX))")
for lhs, rhs in (
("", "FOO(a, b)"),
("bar", "baZ(1, 2)"),
("LOGIN", "EricKurjan"),
("GEOGRAPHY", "Point(latitude, longitude, 4326)"),
(
"GEOGRAPHY",
"STGeomFromText('POLYGON((-122.358 47.653 , -122.348 47.649, -122.348 47.658, -122.358 47.658, -122.358 47.653))', 4326)",
),
):
with self.subTest(f"Scope resolution, LHS: {lhs}, RHS: {rhs}"):
expr = self.validate_identity(f"{lhs}::{rhs}")
base_sql = expr.sql()
self.assertEqual(base_sql, f"SCOPE_RESOLUTION({lhs + ', ' if lhs else ''}{rhs})")
self.assertEqual(parse_one(base_sql).sql("tsql"), f"{lhs}::{rhs}")
def test_count(self):
count = annotate_types(self.validate_identity("SELECT COUNT(1) FROM x"))
self.assertEqual(count.expressions[0].type.this, exp.DataType.Type.INT)
count_big = annotate_types(self.validate_identity("SELECT COUNT_BIG(1) FROM x"))
self.assertEqual(count_big.expressions[0].type.this, exp.DataType.Type.BIGINT)
self.validate_all(
"SELECT COUNT_BIG(1) FROM x",
read={
"duckdb": "SELECT COUNT(1) FROM x",
"spark": "SELECT COUNT(1) FROM x",
},
write={
"duckdb": "SELECT COUNT(1) FROM x",
"spark": "SELECT COUNT(1) FROM x",
"tsql": "SELECT COUNT_BIG(1) FROM x",
},
)
self.validate_all(
"SELECT COUNT(1) FROM x",
write={
"duckdb": "SELECT COUNT(1) FROM x",
"spark": "SELECT COUNT(1) FROM x",
"tsql": "SELECT COUNT(1) FROM x",
},
)
def test_grant(self):
self.validate_identity("GRANT EXECUTE ON TestProc TO User2")
self.validate_identity("GRANT EXECUTE ON TestProc TO TesterRole WITH GRANT OPTION")
self.validate_identity(
"GRANT EXECUTE ON TestProc TO User2 AS TesterRole", check_command_warning=True
)
def test_parsename(self):
for i in range(4):
with self.subTest("Testing PARSENAME <-> SPLIT_PART"):
self.validate_all(
f"SELECT PARSENAME('1.2.3', {i})",
read={
"spark": f"SELECT SPLIT_PART('1.2.3', '.', {4 - i})",
"databricks": f"SELECT SPLIT_PART('1.2.3', '.', {4 - i})",
},
write={
"spark": f"SELECT SPLIT_PART('1.2.3', '.', {4 - i})",
"databricks": f"SELECT SPLIT_PART('1.2.3', '.', {4 - i})",
"tsql": f"SELECT PARSENAME('1.2.3', {i})",
},
)
# Test non-dot delimiter
self.validate_all(
"SELECT SPLIT_PART('1,2,3', ',', 1)",
write={
"spark": "SELECT SPLIT_PART('1,2,3', ',', 1)",
"databricks": "SELECT SPLIT_PART('1,2,3', ',', 1)",
"tsql": UnsupportedError,
},
)
# Test column-type parameters
self.validate_all(
"WITH t AS (SELECT 'a.b.c' AS value, 1 AS idx) SELECT SPLIT_PART(value, '.', idx) FROM t",
write={
"spark": "WITH t AS (SELECT 'a.b.c' AS value, 1 AS idx) SELECT SPLIT_PART(value, '.', idx) FROM t",
"databricks": "WITH t AS (SELECT 'a.b.c' AS value, 1 AS idx) SELECT SPLIT_PART(value, '.', idx) FROM t",
"tsql": UnsupportedError,
},
)
def test_next_value_for(self):
self.validate_identity(
"SELECT NEXT VALUE FOR db.schema.sequence_name OVER (ORDER BY foo), col"
)
self.validate_all(
"SELECT NEXT VALUE FOR db.schema.sequence_name",
read={
"oracle": "SELECT NEXT VALUE FOR db.schema.sequence_name",
"tsql": "SELECT NEXT VALUE FOR db.schema.sequence_name",
},
write={
"oracle": "SELECT NEXT VALUE FOR db.schema.sequence_name",
},
)
# string literals in the DATETRUNC are casted as DATETIME2
def test_datetrunc(self):
self.validate_all(
"SELECT DATETRUNC(month, 'foo')",
write={
"duckdb": "SELECT DATE_TRUNC('MONTH', CAST('foo' AS TIMESTAMP))",
"tsql": "SELECT DATETRUNC(MONTH, CAST('foo' AS DATETIME2))",
},
)
self.validate_all(
"SELECT DATETRUNC(month, foo)",
write={
"duckdb": "SELECT DATE_TRUNC('MONTH', foo)",
"tsql": "SELECT DATETRUNC(MONTH, foo)",
},
)
self.validate_all(
"SELECT DATETRUNC(year, CAST('foo1' AS date))",
write={
"duckdb": "SELECT DATE_TRUNC('YEAR', CAST('foo1' AS DATE))",
"tsql": "SELECT DATETRUNC(YEAR, CAST('foo1' AS DATE))",
},
)