from sqlglot import exp, parse_one
from sqlglot.errors import ParseError, UnsupportedError
from sqlglot.optimizer.annotate_types import annotate_types
from tests.dialects.test_dialect import Validator


class TestTSQL(Validator):
    dialect = "tsql"

    def test_tsql(self):
        self.validate_all(
            "WITH x AS (SELECT 1 AS [1]) SELECT TOP 0 * FROM (SELECT * FROM x UNION SELECT * FROM x) AS _l_0 ORDER BY 1",
            read={
                "": "WITH x AS (SELECT 1) SELECT * FROM x UNION SELECT * FROM x ORDER BY 1 LIMIT 0",
            },
        )

        # 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("SELECT ATN2(x, y)")
        self.validate_identity("SELECT EXP(1)")
        self.validate_identity("SELECT SYSDATETIMEOFFSET()")
        self.validate_identity("SELECT COMPRESS('Hello World')")
        self.validate_identity("GO").assert_is(exp.Command)
        self.validate_identity("SELECT go").selects[0].assert_is(exp.Column)
        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'",
            "EXECUTE MyProc @id = 7, @name = 'Lochristi'",
        )
        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(
            "WITH t1 AS (SELECT 1 AS a), t2 AS (SELECT 1 AS a) SELECT TOP 10 a FROM t1 UNION ALL SELECT TOP 10 a FROM t2"
        )
        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(
            "WITH t1 AS (SELECT 1 AS a), t2 AS (SELECT 1 AS a) SELECT TOP 10 a FROM t1 UNION ALL SELECT TOP 10 a FROM t2 ORDER BY a DESC"
        )
        self.validate_identity(
            "WITH t1 AS (SELECT 1 AS a), t2 AS (SELECT 1 AS a) SELECT COUNT(*) FROM (SELECT TOP 10 a FROM t1 UNION ALL SELECT TOP 10 a FROM t2 ORDER BY a DESC) AS t"
        )
        self.validate_identity(
            'SELECT 1 AS "[x]"',
            "SELECT 1 AS [[x]]]",
        )
        self.validate_identity(
            "INSERT INTO foo.bar WITH cte AS (SELECT 1 AS one) SELECT * FROM cte",
            "WITH cte AS (SELECT 1 AS one) INSERT INTO foo.bar SELECT * FROM cte",
        )

        self.assertEqual(
            annotate_types(self.validate_identity("SELECT 1 WHERE EXISTS(SELECT 1)")).sql("tsql"),
            "SELECT 1 WHERE EXISTS(SELECT 1)",
        )

        self.validate_all(
            "CREATE TABLE test_table([ID] [BIGINT] NOT NULL,[EffectiveFrom] [DATETIME2] (3) NOT NULL)",
            write={
                "spark": "CREATE TABLE test_table (`ID` BIGINT NOT NULL, `EffectiveFrom` TIMESTAMP NOT NULL)",
                "tsql": "CREATE TABLE test_table ([ID] BIGINT NOT NULL, [EffectiveFrom] DATETIME2(3) NOT NULL)",
            },
        )
        self.validate_all(
            "SELECT CONVERT(DATETIME, '2006-04-25T15:50:59.997', 126)",
            write={
                "duckdb": "SELECT STRPTIME('2006-04-25T15:50:59.997', '%Y-%m-%dT%H:%M:%S.%f')",
                "tsql": "SELECT CONVERT(DATETIME, '2006-04-25T15:50:59.997', 126)",
            },
        )
        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 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 c INTO #foo FROM t",
            read={
                "tsql": "WITH t(c) AS (SELECT 1) SELECT c INTO #foo FROM t",
                "postgres": "WITH t(c) AS (SELECT 1) SELECT c INTO TEMPORARY foo FROM t",
            },
            write={
                "tsql": "WITH t(c) AS (SELECT 1) SELECT c INTO #foo FROM t",
                "postgres": "WITH t(c) AS (SELECT 1) SELECT c INTO TEMPORARY foo FROM t",
                "duckdb": "CREATE TEMPORARY TABLE foo AS WITH t(c) AS (SELECT 1) SELECT c FROM t",
                "snowflake": "CREATE TEMPORARY TABLE foo AS WITH t(c) AS (SELECT 1) SELECT c FROM t",
            },
        )
        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",
            write={
                "duckdb": "WITH y AS (SELECT 2 AS c) INSERT INTO t SELECT * FROM y",
                "postgres": "WITH y AS (SELECT 2 AS c) INSERT INTO t SELECT * FROM y",
            },
        )
        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 BEGIN DROP TABLE #TempTableName; END",
            write={
                "tsql": "IF NOT OBJECT_ID('tempdb.dbo.#TempTableName', 'U') IS NULL BEGIN DROP TABLE #TempTableName; END",
                "spark": "DROP TABLE IF EXISTS TempTableName",
            },
        )

        self.validate_all(
            "IF OBJECT_ID('tempdb.dbo.#TempTableName') IS NOT NULL BEGIN DROP TABLE #TempTableName; END",
            write={
                "tsql": "IF NOT OBJECT_ID('tempdb.dbo.#TempTableName') IS NULL BEGIN DROP TABLE #TempTableName; END",
                "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'",
            "DECLARE @TestVariable 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'",
            "DECLARE @v1 INTEGER = 1, @v2 CHAR(1) = 'c'",
        )

        for output in ("OUT", "OUTPUT", "READONLY"):
            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')",
        )

        for order_by in ("", " ORDER BY c"):
            for json_clause in ("", " NULL ON NULL", " ABSENT ON NULL"):
                with self.subTest(f"Testing JSON_ARRAYAGG with options: {order_by}, {json_clause}"):
                    self.validate_identity(f"JSON_ARRAYAGG(c{order_by}{json_clause})")

        self.validate_all(
            "JSON_ARRAYAGG(c1 ORDER BY c1)",
            write={
                "tsql": "JSON_ARRAYAGG(c1 ORDER BY c1)",
                "postgres": "JSON_AGG(c1 ORDER BY c1 NULLS FIRST)",
            },
        )
        self.validate_identity("CEILING(2)")

        self.validate_identity("OBJECT_ID('foo')")
        self.validate_identity("OBJECT_ID('foo', 'U')")

    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",
            "UPDATE t1 SET k = t2.k FROM t2",
        ]

        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)

        self.validate_all(
            "SELECT col FROM t OPTION(LABEL = 'foo')",
            write={
                "tsql": "SELECT col FROM t OPTION(LABEL = 'foo')",
                "databricks": UnsupportedError,
            },
        )

    def test_for_xml(self):
        xml_possible_options = [
            "RAW('ElementName')",
            "RAW('ElementName'), BINARY BASE64",
            "RAW('ElementName'), TYPE",
            "RAW('ElementName'), ROOT('RootName')",
            "RAW('ElementName'), BINARY BASE64, TYPE",
            "RAW('ElementName'), BINARY BASE64, ROOT('RootName')",
            "RAW('ElementName'), TYPE, ROOT('RootName')",
            "RAW('ElementName'), BINARY BASE64, TYPE, ROOT('RootName')",
            "RAW('ElementName'), XMLDATA",
            "RAW('ElementName'), XMLSCHEMA('TargetNameSpaceURI')",
            "RAW('ElementName'), XMLDATA, ELEMENTS XSINIL",
            "RAW('ElementName'), XMLSCHEMA('TargetNameSpaceURI'), ELEMENTS ABSENT",
            "RAW('ElementName'), XMLDATA, ELEMENTS ABSENT",
            "RAW('ElementName'), XMLSCHEMA('TargetNameSpaceURI'), ELEMENTS XSINIL",
            "AUTO",
            "AUTO, BINARY BASE64",
            "AUTO, TYPE",
            "AUTO, ROOT('RootName')",
            "AUTO, BINARY BASE64, TYPE",
            "AUTO, TYPE, ROOT('RootName')",
            "AUTO, BINARY BASE64, TYPE, ROOT('RootName')",
            "AUTO, XMLDATA",
            "AUTO, XMLSCHEMA('TargetNameSpaceURI')",
            "AUTO, XMLDATA, ELEMENTS XSINIL",
            "AUTO, XMLSCHEMA('TargetNameSpaceURI'), ELEMENTS ABSENT",
            "AUTO, XMLDATA, ELEMENTS ABSENT",
            "AUTO, XMLSCHEMA('TargetNameSpaceURI'), ELEMENTS XSINIL",
            "EXPLICIT",
            "EXPLICIT, BINARY BASE64",
            "EXPLICIT, TYPE",
            "EXPLICIT, ROOT('RootName')",
            "EXPLICIT, BINARY BASE64, TYPE",
            "EXPLICIT, TYPE, ROOT('RootName')",
            "EXPLICIT, BINARY BASE64, TYPE, ROOT('RootName')",
            "EXPLICIT, XMLDATA",
            "EXPLICIT, XMLDATA, BINARY BASE64",
            "EXPLICIT, XMLDATA, TYPE",
            "EXPLICIT, XMLDATA, ROOT('RootName')",
            "EXPLICIT, XMLDATA, BINARY BASE64, TYPE",
            "EXPLICIT, XMLDATA, BINARY BASE64, TYPE, ROOT('RootName')",
            "PATH('ElementName')",
            "PATH('ElementName'), BINARY BASE64",
            "PATH('ElementName'), TYPE",
            "PATH('ElementName'), ROOT('RootName')",
            "PATH('ElementName'), BINARY BASE64, TYPE",
            "PATH('ElementName'), TYPE, ROOT('RootName')",
            "PATH('ElementName'), BINARY BASE64, TYPE, ROOT('RootName')",
            "PATH('ElementName'), ELEMENTS XSINIL",
            "PATH('ElementName'), ELEMENTS ABSENT",
            "PATH('ElementName'), BINARY BASE64, ELEMENTS XSINIL",
            "PATH('ElementName'), TYPE, ELEMENTS ABSENT",
            "PATH('ElementName'), ROOT('RootName'), ELEMENTS XSINIL",
            "PATH('ElementName'), BINARY BASE64, TYPE, ROOT('RootName'), ELEMENTS ABSENT",
        ]

        for xml_option in xml_possible_options:
            with self.subTest(f"Testing FOR XML option: {xml_option}"):
                self.validate_identity(f"SELECT * FROM t FOR XML {xml_option}")

        self.validate_identity(
            "SELECT * FROM t FOR XML PATH, BINARY BASE64, ELEMENTS XSINIL",
            """SELECT
  *
FROM t
FOR XML
  PATH,
  BINARY BASE64,
  ELEMENTS XSINIL""",
            pretty=True,
        )

    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 colstore in ("NONCLUSTERED COLUMNSTORE", "CLUSTERED COLUMNSTORE"):
            self.validate_identity(f"CREATE {colstore} INDEX index_name ON foo.bar")

        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=OFF)")
        self.validate_identity("ALTER TABLE tbl SET (FILESTREAM_ON = 'test')")
        self.validate_identity("ALTER TABLE tbl SET (DATA_DELETION=ON)")
        self.validate_identity("ALTER TABLE tbl SET (DATA_DELETION=OFF)")
        self.validate_identity(
            "ALTER TABLE t1 WITH CHECK ADD CONSTRAINT ctr FOREIGN KEY (c1) REFERENCES t2 (c2)"
        )
        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 (DATA_DELETION=ON(FILTER_COLUMN=col, RETENTION_PERIOD=5 MONTHS))"
        )

        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 COLUMNSTORE INDEX index_name ON foo.bar",
            "CREATE NONCLUSTERED COLUMNSTORE INDEX index_name ON foo.bar",
        )
        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_identity(
            "INSERT INTO Production.UpdatedInventory SELECT ProductID, LocationID, NewQty, PreviousQty FROM (MERGE INTO Production.ProductInventory AS pi USING (SELECT ProductID, SUM(OrderQty) FROM Sales.SalesOrderDetail AS sod INNER JOIN Sales.SalesOrderHeader AS soh ON sod.SalesOrderID = soh.SalesOrderID AND soh.OrderDate BETWEEN '20030701' AND '20030731' GROUP BY ProductID) AS src(ProductID, OrderQty) ON pi.ProductID = src.ProductID WHEN MATCHED AND pi.Quantity - src.OrderQty >= 0 THEN UPDATE SET pi.Quantity = pi.Quantity - src.OrderQty WHEN MATCHED AND pi.Quantity - src.OrderQty <= 0 THEN DELETE OUTPUT $action, Inserted.ProductID, Inserted.LocationID, Inserted.Quantity AS NewQty, Deleted.Quantity AS PreviousQty) AS Changes(Action, ProductID, LocationID, NewQty, PreviousQty) WHERE Action = 'UPDATE'",
            """INSERT INTO Production.UpdatedInventory
SELECT
  ProductID,
  LocationID,
  NewQty,
  PreviousQty
FROM (
  MERGE INTO Production.ProductInventory AS pi
  USING (
    SELECT
      ProductID,
      SUM(OrderQty)
    FROM Sales.SalesOrderDetail AS sod
    INNER JOIN Sales.SalesOrderHeader AS soh
      ON sod.SalesOrderID = soh.SalesOrderID
      AND soh.OrderDate BETWEEN '20030701' AND '20030731'
    GROUP BY
      ProductID
  ) AS src(ProductID, OrderQty)
  ON pi.ProductID = src.ProductID
  WHEN MATCHED AND pi.Quantity - src.OrderQty >= 0 THEN UPDATE SET
    pi.Quantity = pi.Quantity - src.OrderQty
  WHEN MATCHED AND pi.Quantity - src.OrderQty <= 0 THEN DELETE
  OUTPUT $action, Inserted.ProductID, Inserted.LocationID, Inserted.Quantity AS NewQty, Deleted.Quantity AS PreviousQty
) AS Changes(Action, ProductID, LocationID, NewQty, PreviousQty)
WHERE
  Action = 'UPDATE'""",
            pretty=True,
        )

        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(
            "ALTER TABLE a ALTER COLUMN b INTEGER",
            read={
                "": "ALTER TABLE a ALTER COLUMN b INT",
            },
            write={
                "": "ALTER TABLE a ALTER COLUMN b SET DATA TYPE INT",
                "tsql": "ALTER TABLE a ALTER COLUMN b 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))",
            },
        )

        constraint = self.validate_identity(
            "ALTER TABLE tbl ADD CONSTRAINT cnstr PRIMARY KEY CLUSTERED (ID), CONSTRAINT cnstr2 UNIQUE CLUSTERED (ID)"
        ).find(exp.AddConstraint)
        assert constraint
        assert len(list(constraint.find_all(exp.Constraint))) == 2

    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)",
            "DECLARE @DWH_DateCreated 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_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_identity("ISNULL(x, y)")
        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):
        datepart_formats = (
            (("QUARTER", "qq", "q"), "QUARTER"),
            (("YEAR", "yy", "yyyy"), "YEAR"),
            (("HOUR", "hh"), "HOUR"),
            (("MINUTE", "mi", "n"), "MINUTE"),
            (("SECOND", "ss", "s"), "SECOND"),
            (("MILLISECOND", "ms"), "MILLISECOND"),
            (("MICROSECOND", "mcs"), "MICROSECOND"),
            (("NANOSECOND", "ns"), "NANOSECOND"),
            (("WEEKDAY", "dw"), "WEEKDAY"),
            (("TZOFFSET", "tz"), "TZOFFSET"),
            (("MONTH", "mm", "m"), "MONTH"),
            (("DAYOFYEAR", "dy", "y"), "DAYOFYEAR"),
            (("DAY", "dd", "d"), "DAY"),
        )

        for formats, canonical in datepart_formats:
            for fmt in formats:
                with self.subTest(f"Testing DATEPART where part is: {fmt}"):
                    self.validate_identity(
                        f"DATEPART({fmt}, x)",
                        f"DATEPART({canonical}, x)",
                    )

        select_datepart_formats = (
            (("WEEK", "WW", "WK"), "WEEK"),
            (("ISOWK", "ISOWW", "ISO_WEEK"), "ISO_WEEK"),
        )

        for formats, canonical in select_datepart_formats:
            for fmt in formats:
                with self.subTest(f"Testing DATEPART where part is: {fmt}"):
                    self.validate_identity(
                        f"SELECT DATEPART({fmt}, '2024-11-21')",
                        f"SELECT DATEPART({canonical}, '2024-11-21')",
                    )

        self.validate_all(
            "SELECT DATEPART(month,'1970-01-01')",
            write={
                "spark": "SELECT EXTRACT(month FROM '1970-01-01')",
                "tsql": "SELECT DATEPART(month, '1970-01-01')",
            },
        )
        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 EXTRACT(YEAR FROM CAST('2017-01-01' AS DATE))",
                "spark": "SELECT EXTRACT(YEAR FROM CAST('2017-01-01' AS DATE))",
                "tsql": "SELECT DATEPART(YEAR, CAST('2017-01-01' AS DATE))",
            },
        )
        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 EXTRACT(month FROM CAST('2017-03-01' AS DATE))",
                "spark": "SELECT EXTRACT(month FROM CAST('2017-03-01' AS DATE))",
                "tsql": "SELECT DATEPART(month, CAST('2017-03-01' AS DATE))",
            },
        )
        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 EXTRACT(day FROM CAST('2017-01-02' AS DATE))",
                "spark": "SELECT EXTRACT(day FROM CAST('2017-01-02' AS DATE))",
                "tsql": "SELECT DATEPART(day, CAST('2017-01-02' AS DATE))",
            },
        )
        self.validate_identity(
            'SELECT DATEPART("dd", x)',
            "SELECT DATEPART(DAY, x)",
        )

    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_identity("SELECT DATEDIFF_BIG(HOUR, 1.5, '2021-01-01')")

        for fnc in ["DATEDIFF", "DATEDIFF_BIG"]:
            with self.subTest(f"Transpiling T-SQL's {fnc}"):
                self.validate_all(
                    f"SELECT {fnc}(quarter, 0, '2021-01-01')",
                    write={
                        "tsql": f"SELECT {fnc}(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(
                    f"SELECT {fnc}(day, 1, '2021-01-01')",
                    write={
                        "tsql": f"SELECT {fnc}(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(
                    f"SELECT {fnc}(year, '2020-01-01', '2021-01-01')",
                    write={
                        "tsql": f"SELECT {fnc}(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(
                    f"SELECT {fnc}(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": f"SELECT {fnc}(MONTH, CAST('start' AS DATETIME2), CAST('end' AS DATETIME2))",
                    },
                )
                self.validate_all(
                    f"SELECT {fnc}(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": f"SELECT {fnc}(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(
                    f"SELECT {fnc}(DAY, CAST(a AS DATETIME2), CAST(b AS DATETIME2)) AS x FROM foo",
                    write={
                        "tsql": f"SELECT {fnc}(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(
                    f"SELECT DATEADD(DAY, {fnc}(DAY, -3, GETDATE()), '08:00:00')",
                    f"SELECT DATEADD(DAY, {fnc}(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)",
                "postgres": "SELECT x.a, x.b, t.v, t.y FROM x INNER JOIN LATERAL (SELECT v, y FROM t) AS t(v, y) ON TRUE",
                "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)",
                "postgres": "SELECT x.a, x.b, t.v, t.y FROM x LEFT JOIN LATERAL (SELECT v, y FROM t) AS t(v, y) ON TRUE",
                "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",
                "postgres": "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) ON TRUE LEFT JOIN LATERAL (SELECT v, y FROM t) AS s(v, y) ON TRUE 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)",
                "postgres": "SELECT t.x, y.z FROM x INNER JOIN LATERAL TVFTEST(t.x) AS y(z) ON TRUE",
                "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)",
                "postgres": "SELECT t.x, y.z FROM x LEFT JOIN LATERAL TVFTEST(t.x) AS y(z) ON TRUE",
                "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)",
                "postgres": "SELECT t.x, y.z FROM x LEFT JOIN LATERAL a.b.tvfTest(t.x) AS y(z) ON TRUE",
                "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(
            "CREATE TABLE schema.table AS SELECT a, id FROM (SELECT a, (SELECT id FROM tb ORDER BY t DESC LIMIT 1) as id FROM tbl) AS _subquery",
            "SELECT * INTO schema.table FROM (SELECT a AS a, id AS id FROM (SELECT a AS a, (SELECT TOP 1 id FROM tb ORDER BY t DESC) AS id FROM tbl) AS _subquery) AS temp",
        )
        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 INTEGER")
        self.validate_identity("DECLARE @X INT = 1", "DECLARE @X INTEGER = 1")
        self.validate_identity(
            "DECLARE @X INT, @Y VARCHAR(10)", "DECLARE @X INTEGER, @Y VARCHAR(10)"
        )
        self.validate_identity(
            "declare @X int = (select col from table where id = 1)",
            "DECLARE @X 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 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 TABLE (Id INTEGER NOT NULL, CONSTRAINT PK_Id PRIMARY KEY (Id))",
        )
        self.validate_identity(
            "declare @X UserDefinedTableType",
            "DECLARE @X 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_revoke(self):
        self.validate_identity("REVOKE EXECUTE ON TestProc FROM User2")
        self.validate_identity("REVOKE EXECUTE ON TestProc FROM TesterRole")

    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))",
            },
        )

    def test_numeric_trunc(self):
        # T-SQL doesn't have native TRUNC - uses ROUND with third parameter = 1
        # Cross-dialect transpilation: other dialects' TRUNC -> T-SQL ROUND(x, n, 1)
        self.validate_all(
            "ROUND(3.14159, 2, 1)",
            read={
                "oracle": "TRUNC(3.14159, 2)",
                "postgres": "TRUNC(3.14159, 2)",
                "mysql": "TRUNCATE(3.14159, 2)",
            },
            write={
                "tsql": "ROUND(3.14159, 2, 1)",
            },
        )

    def test_collation_parse(self):
        self.validate_identity("ALTER TABLE a ALTER COLUMN b CHAR(10) COLLATE abc").assert_is(
            exp.Alter
        ).args.get("actions")[0].args.get("collate").this.assert_is(exp.Var)

    def test_odbc_date_literals(self):
        for value, cls in [
            ("{d'2024-01-01'}", exp.Date),
            ("{t'12:00:00'}", exp.Time),
            ("{ts'2024-01-01 12:00:00'}", exp.Timestamp),
        ]:
            with self.subTest(f"Testing ODBC date literal: {value}"):
                sql = f"INSERT INTO tab(ds) VALUES ({value})"
                expr = self.parse_one(sql)
                self.assertIsInstance(expr, exp.Insert)
                self.assertIsInstance(expr.expression.expressions[0].expressions[0], cls)

    def test_create_trigger(self):
        self.validate_identity(
            "CREATE TRIGGER reminder ON customers AFTER INSERT AS BEGIN INSERT INTO audit_log (customer_id, action, created_at) SELECT id, 'INSERT', GETDATE() FROM inserted END",
            check_command_warning=True,
        )

        self.validate_identity(
            "CREATE TRIGGER updview ON vw_employees INSTEAD OF UPDATE AS BEGIN UPDATE employees SET salary = inserted.salary FROM inserted WHERE employees.id = inserted.id END",
            check_command_warning=True,
        )

        self.validate_identity(
            "CREATE TRIGGER ddl_trig ON DATABASE FOR CREATE_TABLE AS BEGIN INSERT INTO schema_changes (event_type, event_time, login_name) VALUES ('CREATE_TABLE', GETDATE(), SYSTEM_USER) END",
            check_command_warning=True,
        )

    def test_procedures(self):
        self.validate_identity("SELECT 1; SELECT 2").assert_is(exp.Block)

        sqls = [
            "EXECUTE test @in1 = 100, @in2",
            "EXECUTE sp_executesql @payload, @param_str, @param1 = value1, @param2 = value2",
            "EXECUTE sp_executesql @stmt = @payload, @params = param_str, @param1 = value1, @param2 = value2",
            """
            CREATE
            PROCEDURE test1
            AS
            BEGIN
                SELECT 1;
                SELECT 2;
                SELECT 3;
            END
            """,
            """
            CREATE PROCEDURE test2(@in1 INTEGER, @c CHAR(1))
            AS
            BEGIN
                IF @in1 > 1 AND @c = 'c'
                BEGIN
                    SELECT col1 FROM t WHERE t.col2 = @in1;
                END;
            END
            """,
            """
            CREATE PROCEDURE test(@in1 INTEGER)
            AS
            BEGIN
                SELECT 1;
                IF @in1 > 1
                BEGIN
                    SELECT 1;
                    SELECT 2;
                END;
                ELSE
                BEGIN
                    SELECT 3;
                    SELECT 4;
                END;
            END
            """,
            """
            CREATE PROCEDURE test(@in1 INTEGER)
            AS
            BEGIN
                IF @in1 > 1
                BEGIN
                    SELECT col1 FROM t WHERE t.col2 = @in1;
                    SELECT 100;
                END;
                IF @in1 > 1
                BEGIN
                    SELECT col2 FROM t1;
                END;
            END
            """,
            """
            CREATE PROCEDURE test(@in1 INTEGER)
            AS
            BEGIN
                DECLARE @q1 INTEGER, @q2 INTEGER, @q3 INTEGER;
                SET @q1 = (SELECT MAX(col1) FROM t1);
                SET @q2 = (SELECT MIN(col1) FROM t2);
                IF @in1 > 1
                BEGIN
                    SELECT 3;
                    SET @q3 = (SELECT MAX(col2) FROM t1);
                    IF @q3 < 5
                    BEGIN
                        SELECT 1;
                        SELECT 2;
                    END;
                END;
                IF @in1 > 1
                BEGIN
                    SELECT 1;
                END;
            END
            """,
            """
            CREATE PROCEDURE test(@in1 INTEGER)
            AS
            BEGIN
                SELECT 1;
                IF @in1 > 1
                BEGIN
                    SELECT 3;
                END;
                ELSE
                BEGIN
                    SELECT 4;
                    SELECT 5;
                    IF @in1 < 0
                    BEGIN
                        SELECT 1;
                    END;
                END;
            END
            """,
            """
            CREATE PROCEDURE test(@in1 INTEGER, @c CHAR(1))
            AS
            BEGIN
                WHILE @in1 > 100
                BEGIN
                    SELECT col1 FROM t WHERE t.col2 = @in1 AND t.col3 = @c;
                    SET @in1 = @in1 - 1;
                END;
            END
            """,
            """
            CREATE PROCEDURE test(@in1 INTEGER)
            AS
            BEGIN
                DECLARE @temp INTEGER;
                WHILE @in1 > 100
                BEGIN
                    SET @temp = (SELECT MAX(col1) FROM t WHERE t.col2 = @in1);
                    SET @in1 = @in1 - @temp;
                END;
                SET @in1 = 50;
                WHILE @in1 > 5
                BEGIN
                    SELECT col2 FROM t1 WHERE t1.col3 = @in1;
                    SET @in1 = @in1 - 1;
                END;
            END
            """,
            """
            CREATE PROCEDURE dbo.test(@in1 INTEGER = 5, @in2 VARCHAR(40) = 'empty', @in3 INTEGER = 1)
            AS
            BEGIN
                INSERT INTO t (id, col1, col2) VALUES (@in1, @in2, @in3);
            END;
            CREATE PROCEDURE c.s.test2
            AS
            BEGIN
                EXECUTE dbo.test;
                DECLARE @i INTEGER = 0;
                WHILE @i < 100
                BEGIN
                    EXECUTE test @in2 = 'temp_new';
                    SET @i = @i + 100;
                END;
            END
            """,
            """
            CREATE PROCEDURE DropTableIfExists
                @TableName NVARCHAR(128)
            AS
            BEGIN
                DECLARE @SQL NVARCHAR(MAX);
                SET @SQL = N'DROP TABLE IF EXISTS [' + @TableName + ']';
                EXECUTE sp_executesql 'SELECT 1 AS c';
                EXECUTE sp_executesql N'SELECT 1 AS c';
                EXECUTE sp_executesql @SQL;
                EXECUTE sp_executesql @stmt = @SQL;
            END
            """,
            """
            CREATE PROCEDURE test
            AS
            BEGIN
                DECLARE @x INTEGER = 100;
                IF @x > ANY (SELECT 100)
                BEGIN
                    SET @x = 100;
                END;
                ELSE
                BEGIN
                    SET @x = 0;
                END;
            END
            """,
        ]
        for sql in sqls:
            ast = parse_one(sql, read="tsql")
            expected_sql = " ".join(line for line in (l.strip() for l in sql.splitlines()) if line)
            roundtripped_sql = ast.sql("tsql")
            with self.subTest(f"Testing: {sql}"):
                self.assertEqual(expected_sql, roundtripped_sql)

        self.validate_identity(
            "EXEC sp_executesql @payload", "EXECUTE sp_executesql @payload"
        ).assert_is(exp.ExecuteSql)

        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 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(CURRENT_USER())",
            "DECLARE @SalesAmountBefore FLOAT",
            "SELECT @SalesAmountBefore = SUM(SalesAmount) FROM TRANSF.[Pre_Merge_Sales_Real] AS S",
            "END",
        ]

        for expr, expected_sql in zip(parse_one(sql, read="tsql").expressions, 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 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_one(sql, read="tsql").expressions, expected_sqls):
            self.assertEqual(expr.sql(dialect="tsql"), expected_sql)

        self.validate_identity(
            "IF ((@x = @y AND GETDATE() = GETDATE()) OR (GETDATE() = @t)) BEGIN SET @query_result = (SELECT MAX(id) + 1 FROM t); END",
            "IF (@x = @y AND GETDATE() = GETDATE()) OR (GETDATE() = @t) BEGIN SET @query_result = (SELECT MAX(id) + 1 FROM t); END",
        )
