path: root/tests/dialects/test_spark.py

from unittest import mock

from sqlglot import exp, parse_one
from tests.dialects.test_dialect import Validator


class TestSpark(Validator):
    dialect = "spark"

    def test_ddl(self):
        self.validate_identity("CREATE TABLE foo (col VARCHAR(50))")
        self.validate_identity("CREATE TABLE foo (col STRUCT<struct_col_a: VARCHAR((50))>)")
        self.validate_identity("CREATE TABLE foo (col STRING) CLUSTERED BY (col) INTO 10 BUCKETS")
        self.validate_identity(
            "CREATE TABLE foo (col STRING) CLUSTERED BY (col) SORTED BY (col) INTO 10 BUCKETS"
        )

        self.validate_all(
            "CREATE TABLE db.example_table (col_a struct<struct_col_a:int, struct_col_b:string>)",
            write={
                "duckdb": "CREATE TABLE db.example_table (col_a STRUCT(struct_col_a INT, struct_col_b TEXT))",
                "presto": "CREATE TABLE db.example_table (col_a ROW(struct_col_a INTEGER, struct_col_b VARCHAR))",
                "hive": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a INT, struct_col_b STRING>)",
                "spark": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a: INT, struct_col_b: STRING>)",
            },
        )
        self.validate_all(
            "CREATE TABLE db.example_table (col_a struct<struct_col_a:int, struct_col_b:struct<nested_col_a:string, nested_col_b:string>>)",
            write={
                "bigquery": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a INT64, struct_col_b STRUCT<nested_col_a STRING, nested_col_b STRING>>)",
                "duckdb": "CREATE TABLE db.example_table (col_a STRUCT(struct_col_a INT, struct_col_b STRUCT(nested_col_a TEXT, nested_col_b TEXT)))",
                "presto": "CREATE TABLE db.example_table (col_a ROW(struct_col_a INTEGER, struct_col_b ROW(nested_col_a VARCHAR, nested_col_b VARCHAR)))",
                "hive": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a INT, struct_col_b STRUCT<nested_col_a STRING, nested_col_b STRING>>)",
                "spark": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a: INT, struct_col_b: STRUCT<nested_col_a: STRING, nested_col_b: STRING>>)",
            },
        )
        self.validate_all(
            "CREATE TABLE db.example_table (col_a array<int>, col_b array<array<int>>)",
            write={
                "bigquery": "CREATE TABLE db.example_table (col_a ARRAY<INT64>, col_b ARRAY<ARRAY<INT64>>)",
                "duckdb": "CREATE TABLE db.example_table (col_a INT[], col_b INT[][])",
                "presto": "CREATE TABLE db.example_table (col_a ARRAY(INTEGER), col_b ARRAY(ARRAY(INTEGER)))",
                "hive": "CREATE TABLE db.example_table (col_a ARRAY<INT>, col_b ARRAY<ARRAY<INT>>)",
                "spark": "CREATE TABLE db.example_table (col_a ARRAY<INT>, col_b ARRAY<ARRAY<INT>>)",
                "snowflake": "CREATE TABLE db.example_table (col_a ARRAY, col_b ARRAY)",
            },
        )
        self.validate_all(
            "CREATE TABLE x USING ICEBERG PARTITIONED BY (MONTHS(y)) LOCATION 's3://z'",
            write={
                "duckdb": "CREATE TABLE x",
                "presto": "CREATE TABLE x WITH (FORMAT='ICEBERG', PARTITIONED_BY=ARRAY['MONTHS'])",
                "hive": "CREATE TABLE x STORED AS ICEBERG PARTITIONED BY (MONTHS(y)) LOCATION 's3://z'",
                "spark": "CREATE TABLE x USING ICEBERG PARTITIONED BY (MONTHS(y)) LOCATION 's3://z'",
            },
        )
        self.validate_all(
            "CREATE TABLE test STORED AS PARQUET AS SELECT 1",
            write={
                "duckdb": "CREATE TABLE test AS SELECT 1",
                "presto": "CREATE TABLE test WITH (FORMAT='PARQUET') AS SELECT 1",
                "hive": "CREATE TABLE test STORED AS PARQUET AS SELECT 1",
                "spark": "CREATE TABLE test USING PARQUET AS SELECT 1",
            },
        )
        self.validate_all(
            """CREATE TABLE blah (col_a INT) COMMENT "Test comment: blah" PARTITIONED BY (date STRING) STORED AS ICEBERG TBLPROPERTIES('x' = '1')""",
            write={
                "duckdb": """CREATE TABLE blah (
  col_a INT
)""",  # Partition columns should exist in table
                "presto": """CREATE TABLE blah (
  col_a INTEGER,
  date VARCHAR
)
COMMENT='Test comment: blah'
WITH (
  PARTITIONED_BY=ARRAY['date'],
  FORMAT='ICEBERG',
  x='1'
)""",
                "hive": """CREATE TABLE blah (
  col_a INT
)
COMMENT 'Test comment: blah'
PARTITIONED BY (
  date STRING
)
STORED AS ICEBERG
TBLPROPERTIES (
  'x'='1'
)""",
                "spark": """CREATE TABLE blah (
  col_a INT
)
COMMENT 'Test comment: blah'
PARTITIONED BY (
  date STRING
)
USING ICEBERG
TBLPROPERTIES (
  'x'='1'
)""",
            },
            pretty=True,
        )

        self.validate_all(
            "CACHE TABLE testCache OPTIONS ('storageLevel' 'DISK_ONLY') SELECT * FROM testData",
            write={
                "spark": "CACHE TABLE testCache OPTIONS('storageLevel' = 'DISK_ONLY') AS SELECT * FROM testData"
            },
        )
        self.validate_all(
            "ALTER TABLE StudentInfo ADD COLUMNS (LastName STRING, DOB TIMESTAMP)",
            write={
                "spark": "ALTER TABLE StudentInfo ADD COLUMNS (LastName STRING, DOB TIMESTAMP)",
            },
        )
        self.validate_all(
            "ALTER TABLE StudentInfo DROP COLUMNS (LastName, DOB)",
            write={
                "spark": "ALTER TABLE StudentInfo DROP COLUMNS (LastName, DOB)",
            },
        )
        self.validate_all(
            "CREATE TABLE x USING ICEBERG PARTITIONED BY (MONTHS(y)) LOCATION 's3://z'",
            identify=True,
            write={
                "spark": "CREATE TABLE `x` USING ICEBERG PARTITIONED BY (MONTHS(`y`)) LOCATION 's3://z'",
            },
        )

    def test_to_date(self):
        self.validate_all(
            "TO_DATE(x, 'yyyy-MM-dd')",
            write={
                "duckdb": "CAST(x AS DATE)",
                "hive": "TO_DATE(x)",
                "presto": "CAST(CAST(x AS TIMESTAMP) AS DATE)",
                "spark": "TO_DATE(x)",
            },
        )
        self.validate_all(
            "TO_DATE(x, 'yyyy')",
            write={
                "duckdb": "CAST(STRPTIME(x, '%Y') AS DATE)",
                "hive": "TO_DATE(x, 'yyyy')",
                "presto": "CAST(DATE_PARSE(x, '%Y') AS DATE)",
                "spark": "TO_DATE(x, 'yyyy')",
            },
        )

    @mock.patch("sqlglot.generator.logger")
    def test_hint(self, logger):
        self.validate_all(
            "SELECT /*+ COALESCE(3) */ * FROM x",
            write={
                "spark": "SELECT /*+ COALESCE(3) */ * FROM x",
                "bigquery": "SELECT * FROM x",
            },
        )
        self.validate_all(
            "SELECT /*+ COALESCE(3), REPARTITION(1) */ * FROM x",
            write={
                "spark": "SELECT /*+ COALESCE(3), REPARTITION(1) */ * FROM x",
                "bigquery": "SELECT * FROM x",
            },
        )
        self.validate_all(
            "SELECT /*+ BROADCAST(table) */ cola FROM table",
            write={
                "spark": "SELECT /*+ BROADCAST(table) */ cola FROM table",
                "bigquery": "SELECT cola FROM table",
            },
        )
        self.validate_all(
            "SELECT /*+ BROADCASTJOIN(table) */ cola FROM table",
            write={
                "spark": "SELECT /*+ BROADCASTJOIN(table) */ cola FROM table",
                "bigquery": "SELECT cola FROM table",
            },
        )
        self.validate_all(
            "SELECT /*+ MAPJOIN(table) */ cola FROM table",
            write={
                "spark": "SELECT /*+ MAPJOIN(table) */ cola FROM table",
                "bigquery": "SELECT cola FROM table",
            },
        )
        self.validate_all(
            "SELECT /*+ MERGE(table) */ cola FROM table",
            write={
                "spark": "SELECT /*+ MERGE(table) */ cola FROM table",
                "bigquery": "SELECT cola FROM table",
            },
        )
        self.validate_all(
            "SELECT /*+ SHUFFLEMERGE(table) */ cola FROM table",
            write={
                "spark": "SELECT /*+ SHUFFLEMERGE(table) */ cola FROM table",
                "bigquery": "SELECT cola FROM table",
            },
        )
        self.validate_all(
            "SELECT /*+ MERGEJOIN(table) */ cola FROM table",
            write={
                "spark": "SELECT /*+ MERGEJOIN(table) */ cola FROM table",
                "bigquery": "SELECT cola FROM table",
            },
        )
        self.validate_all(
            "SELECT /*+ SHUFFLE_HASH(table) */ cola FROM table",
            write={
                "spark": "SELECT /*+ SHUFFLE_HASH(table) */ cola FROM table",
                "bigquery": "SELECT cola FROM table",
            },
        )
        self.validate_all(
            "SELECT /*+ SHUFFLE_REPLICATE_NL(table) */ cola FROM table",
            write={
                "spark": "SELECT /*+ SHUFFLE_REPLICATE_NL(table) */ cola FROM table",
                "bigquery": "SELECT cola FROM table",
            },
        )

    def test_spark(self):
        expr = parse_one("any_value(col, true)", read="spark")
        self.assertIsInstance(expr.args.get("ignore_nulls"), exp.Boolean)
        self.assertEqual(expr.sql(dialect="spark"), "ANY_VALUE(col, TRUE)")

        self.validate_identity("SELECT * FROM t1 SEMI JOIN t2 ON t1.x = t2.x")
        self.validate_identity("SELECT TRANSFORM(ARRAY(1, 2, 3), x -> x + 1)")
        self.validate_identity("SELECT TRANSFORM(ARRAY(1, 2, 3), (x, i) -> x + i)")
        self.validate_identity("REFRESH table a.b.c")
        self.validate_identity("INTERVAL -86 days")
        self.validate_identity("SELECT UNIX_TIMESTAMP()")
        self.validate_identity("TRIM('    SparkSQL   ')")
        self.validate_identity("TRIM(BOTH 'SL' FROM 'SSparkSQLS')")
        self.validate_identity("TRIM(LEADING 'SL' FROM 'SSparkSQLS')")
        self.validate_identity("TRIM(TRAILING 'SL' FROM 'SSparkSQLS')")
        self.validate_identity("SPLIT(str, pattern, lim)")
        self.validate_identity(
            "SELECT REGEXP_REPLACE('100-200', r'([^0-9])', '')",
            "SELECT REGEXP_REPLACE('100-200', '([^0-9])', '')",
        )
        self.validate_identity(
            "SELECT REGEXP_REPLACE('100-200', R'([^0-9])', '')",
            "SELECT REGEXP_REPLACE('100-200', '([^0-9])', '')",
        )
        self.validate_identity(
            "SELECT STR_TO_MAP('a:1,b:2,c:3')",
            "SELECT STR_TO_MAP('a:1,b:2,c:3', ',', ':')",
        )

        self.validate_all(
            "foo.bar",
            read={
                "": "STRUCT_EXTRACT(foo, bar)",
            },
        )
        self.validate_all(
            "MAP(1, 2, 3, 4)",
            write={
                "spark": "MAP(1, 2, 3, 4)",
                "trino": "MAP(ARRAY[1, 3], ARRAY[2, 4])",
            },
        )
        self.validate_all(
            "MAP()",
            read={
                "spark": "MAP()",
                "trino": "MAP()",
            },
            write={
                "trino": "MAP(ARRAY[], ARRAY[])",
            },
        )
        self.validate_all(
            "SELECT STR_TO_MAP('a:1,b:2,c:3', ',', ':')",
            read={
                "presto": "SELECT SPLIT_TO_MAP('a:1,b:2,c:3', ',', ':')",
                "spark": "SELECT STR_TO_MAP('a:1,b:2,c:3', ',', ':')",
            },
            write={
                "presto": "SELECT SPLIT_TO_MAP('a:1,b:2,c:3', ',', ':')",
                "spark": "SELECT STR_TO_MAP('a:1,b:2,c:3', ',', ':')",
            },
        )
        self.validate_all(
            "SELECT DATEDIFF(month, CAST('1996-10-30' AS TIMESTAMP), CAST('1997-02-28 10:30:00' AS TIMESTAMP))",
            read={
                "duckdb": "SELECT DATEDIFF('month', CAST('1996-10-30' AS TIMESTAMP), CAST('1997-02-28 10:30:00' AS TIMESTAMP))",
            },
            write={
                "spark": "SELECT DATEDIFF(month, TO_DATE(CAST('1996-10-30' AS TIMESTAMP)), TO_DATE(CAST('1997-02-28 10:30:00' AS TIMESTAMP)))",
                "spark2": "SELECT MONTHS_BETWEEN(TO_DATE(CAST('1997-02-28 10:30:00' AS TIMESTAMP)), TO_DATE(CAST('1996-10-30' AS TIMESTAMP)))",
            },
        )
        self.validate_all(
            "SELECT MONTHS_BETWEEN('1997-02-28 10:30:00', '1996-10-30')",
            write={
                "duckdb": "SELECT DATEDIFF('month', CAST('1996-10-30' AS TIMESTAMP), CAST('1997-02-28 10:30:00' AS TIMESTAMP))",
                "hive": "SELECT MONTHS_BETWEEN('1997-02-28 10:30:00', '1996-10-30')",
                "spark": "SELECT MONTHS_BETWEEN('1997-02-28 10:30:00', '1996-10-30')",
            },
        )
        self.validate_all(
            "SELECT MONTHS_BETWEEN('1997-02-28 10:30:00', '1996-10-30', FALSE)",
            write={
                "duckdb": "SELECT DATEDIFF('month', CAST('1996-10-30' AS TIMESTAMP), CAST('1997-02-28 10:30:00' AS TIMESTAMP))",
                "hive": "SELECT MONTHS_BETWEEN('1997-02-28 10:30:00', '1996-10-30')",
                "spark": "SELECT MONTHS_BETWEEN('1997-02-28 10:30:00', '1996-10-30', FALSE)",
            },
        )
        self.validate_all(
            "SELECT TO_TIMESTAMP('2016-12-31 00:12:00')",
            write={
                "": "SELECT CAST('2016-12-31 00:12:00' AS TIMESTAMP)",
                "duckdb": "SELECT CAST('2016-12-31 00:12:00' AS TIMESTAMP)",
                "spark": "SELECT CAST('2016-12-31 00:12:00' AS TIMESTAMP)",
            },
        )
        self.validate_all(
            "SELECT TO_TIMESTAMP('2016-12-31', 'yyyy-MM-dd')",
            read={
                "duckdb": "SELECT STRPTIME('2016-12-31', '%Y-%m-%d')",
            },
            write={
                "": "SELECT STR_TO_TIME('2016-12-31', '%Y-%m-%d')",
                "duckdb": "SELECT STRPTIME('2016-12-31', '%Y-%m-%d')",
                "spark": "SELECT TO_TIMESTAMP('2016-12-31', 'yyyy-MM-dd')",
            },
        )
        self.validate_all(
            "SELECT RLIKE('John Doe', 'John.*')",
            write={
                "bigquery": "SELECT REGEXP_CONTAINS('John Doe', 'John.*')",
                "hive": "SELECT 'John Doe' RLIKE 'John.*'",
                "postgres": "SELECT 'John Doe' ~ 'John.*'",
                "snowflake": "SELECT REGEXP_LIKE('John Doe', 'John.*')",
                "spark": "SELECT 'John Doe' RLIKE 'John.*'",
            },
        )
        self.validate_all(
            "UNHEX(MD5(x))",
            write={
                "bigquery": "FROM_HEX(TO_HEX(MD5(x)))",
                "spark": "UNHEX(MD5(x))",
            },
        )
        self.validate_all(
            "SELECT * FROM ((VALUES 1))", write={"spark": "SELECT * FROM (VALUES (1))"}
        )
        self.validate_all(
            "SELECT CAST(STRUCT('fooo') AS STRUCT<a: VARCHAR(2)>)",
            write={"spark": "SELECT CAST(STRUCT('fooo') AS STRUCT<a: STRING>)"},
        )
        self.validate_all(
            "SELECT CAST(123456 AS VARCHAR(3))",
            write={
                "": "SELECT TRY_CAST(123456 AS TEXT)",
                "spark": "SELECT CAST(123456 AS STRING)",
            },
        )
        self.validate_all(
            "SELECT piv.Q1 FROM (SELECT * FROM produce PIVOT(SUM(sales) FOR quarter IN ('Q1', 'Q2'))) AS piv",
            read={
                "snowflake": "SELECT piv.Q1 FROM produce PIVOT(SUM(sales) FOR quarter IN ('Q1', 'Q2')) piv",
            },
        )
        self.validate_all(
            "SELECT piv.Q1 FROM (SELECT * FROM (SELECT * FROM produce) PIVOT(SUM(sales) FOR quarter IN ('Q1', 'Q2'))) AS piv",
            read={
                "snowflake": "SELECT piv.Q1 FROM (SELECT * FROM produce) PIVOT(SUM(sales) FOR quarter IN ('Q1', 'Q2')) piv",
            },
        )
        self.validate_all(
            "SELECT * FROM produce PIVOT(SUM(produce.sales) FOR quarter IN ('Q1', 'Q2'))",
            read={
                "snowflake": "SELECT * FROM produce PIVOT (SUM(produce.sales) FOR produce.quarter IN ('Q1', 'Q2'))",
            },
        )
        self.validate_all(
            "SELECT * FROM produce AS p PIVOT(SUM(p.sales) AS sales FOR quarter IN ('Q1' AS Q1, 'Q2' AS Q1))",
            read={
                "bigquery": "SELECT * FROM produce AS p PIVOT(SUM(p.sales) AS sales FOR p.quarter IN ('Q1' AS Q1, 'Q2' AS Q1))",
            },
        )
        self.validate_all(
            "SELECT DATEDIFF(MONTH, '2020-01-01', '2020-03-05')",
            write={
                "databricks": "SELECT DATEDIFF(MONTH, TO_DATE('2020-01-01'), TO_DATE('2020-03-05'))",
                "hive": "SELECT MONTHS_BETWEEN(TO_DATE('2020-03-05'), TO_DATE('2020-01-01'))",
                "presto": "SELECT DATE_DIFF('MONTH', CAST(CAST('2020-01-01' AS TIMESTAMP) AS DATE), CAST(CAST('2020-03-05' AS TIMESTAMP) AS DATE))",
                "spark": "SELECT DATEDIFF(MONTH, TO_DATE('2020-01-01'), TO_DATE('2020-03-05'))",
                "spark2": "SELECT MONTHS_BETWEEN(TO_DATE('2020-03-05'), TO_DATE('2020-01-01'))",
                "trino": "SELECT DATE_DIFF('MONTH', CAST(CAST('2020-01-01' AS TIMESTAMP) AS DATE), CAST(CAST('2020-03-05' AS TIMESTAMP) AS DATE))",
            },
        )

        for data_type in ("BOOLEAN", "DATE", "DOUBLE", "FLOAT", "INT", "TIMESTAMP"):
            self.validate_all(
                f"{data_type}(x)",
                write={
                    "": f"CAST(x AS {data_type})",
                    "spark": f"CAST(x AS {data_type})",
                },
            )
        self.validate_all(
            "STRING(x)",
            write={
                "": "CAST(x AS TEXT)",
                "spark": "CAST(x AS STRING)",
            },
        )

        self.validate_all(
            "CAST(x AS TIMESTAMP)", read={"trino": "CAST(x AS TIMESTAMP(6) WITH TIME ZONE)"}
        )
        self.validate_all(
            "SELECT DATE_ADD(my_date_column, 1)",
            write={
                "spark": "SELECT DATE_ADD(my_date_column, 1)",
                "bigquery": "SELECT DATE_ADD(my_date_column, INTERVAL 1 DAY)",
            },
        )
        self.validate_all(
            "AGGREGATE(my_arr, 0, (acc, x) -> acc + x, s -> s * 2)",
            write={
                "trino": "REDUCE(my_arr, 0, (acc, x) -> acc + x, s -> s * 2)",
                "duckdb": "REDUCE(my_arr, 0, (acc, x) -> acc + x, s -> s * 2)",
                "hive": "REDUCE(my_arr, 0, (acc, x) -> acc + x, s -> s * 2)",
                "presto": "REDUCE(my_arr, 0, (acc, x) -> acc + x, s -> s * 2)",
                "spark": "AGGREGATE(my_arr, 0, (acc, x) -> acc + x, s -> s * 2)",
            },
        )
        self.validate_all(
            "TRIM('SL', 'SSparkSQLS')", write={"spark": "TRIM('SL' FROM 'SSparkSQLS')"}
        )
        self.validate_all(
            "ARRAY_SORT(x, (left, right) -> -1)",
            write={
                "duckdb": "ARRAY_SORT(x)",
                "presto": "ARRAY_SORT(x, (left, right) -> -1)",
                "hive": "SORT_ARRAY(x)",
                "spark": "ARRAY_SORT(x, (left, right) -> -1)",
            },
        )
        self.validate_all(
            "ARRAY(0, 1, 2)",
            write={
                "bigquery": "[0, 1, 2]",
                "duckdb": "[0, 1, 2]",
                "presto": "ARRAY[0, 1, 2]",
                "hive": "ARRAY(0, 1, 2)",
                "spark": "ARRAY(0, 1, 2)",
            },
        )

        self.validate_all(
            "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname ASC NULLS LAST, lname",
            write={
                "clickhouse": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname ASC, lname NULLS FIRST",
                "duckdb": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname ASC, lname NULLS FIRST",
                "postgres": "SELECT fname, lname, age FROM person ORDER BY age DESC, fname ASC, lname NULLS FIRST",
                "presto": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname ASC, lname NULLS FIRST",
                "hive": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname ASC NULLS LAST, lname",
                "spark": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname ASC NULLS LAST, lname",
                "snowflake": "SELECT fname, lname, age FROM person ORDER BY age DESC, fname ASC, lname NULLS FIRST",
            },
        )
        self.validate_all(
            "SELECT APPROX_COUNT_DISTINCT(a) FROM foo",
            write={
                "duckdb": "SELECT APPROX_COUNT_DISTINCT(a) FROM foo",
                "presto": "SELECT APPROX_DISTINCT(a) FROM foo",
                "hive": "SELECT APPROX_COUNT_DISTINCT(a) FROM foo",
                "spark": "SELECT APPROX_COUNT_DISTINCT(a) FROM foo",
            },
        )
        self.validate_all(
            "MONTH('2021-03-01')",
            write={
                "duckdb": "MONTH(CAST('2021-03-01' AS DATE))",
                "presto": "MONTH(CAST(CAST('2021-03-01' AS TIMESTAMP) AS DATE))",
                "hive": "MONTH(TO_DATE('2021-03-01'))",
                "spark": "MONTH(TO_DATE('2021-03-01'))",
            },
        )
        self.validate_all(
            "YEAR('2021-03-01')",
            write={
                "duckdb": "YEAR(CAST('2021-03-01' AS DATE))",
                "presto": "YEAR(CAST(CAST('2021-03-01' AS TIMESTAMP) AS DATE))",
                "hive": "YEAR(TO_DATE('2021-03-01'))",
                "spark": "YEAR(TO_DATE('2021-03-01'))",
            },
        )
        self.validate_all(
            "'\u6bdb'",
            write={
                "duckdb": "'毛'",
                "presto": "'毛'",
                "hive": "'毛'",
                "spark": "'毛'",
            },
        )
        self.validate_all(
            "SELECT LEFT(x, 2), RIGHT(x, 2)",
            write={
                "duckdb": "SELECT LEFT(x, 2), RIGHT(x, 2)",
                "presto": "SELECT SUBSTRING(x, 1, 2), SUBSTRING(x, LENGTH(x) - (2 - 1))",
                "hive": "SELECT SUBSTRING(x, 1, 2), SUBSTRING(x, LENGTH(x) - (2 - 1))",
                "spark": "SELECT LEFT(x, 2), RIGHT(x, 2)",
            },
        )
        self.validate_all(
            "MAP_FROM_ARRAYS(ARRAY(1), c)",
            write={
                "duckdb": "MAP([1], c)",
                "presto": "MAP(ARRAY[1], c)",
                "hive": "MAP(ARRAY(1), c)",
                "spark": "MAP_FROM_ARRAYS(ARRAY(1), c)",
                "snowflake": "OBJECT_CONSTRUCT([1], c)",
            },
        )
        self.validate_all(
            "SELECT ARRAY_SORT(x)",
            write={
                "duckdb": "SELECT ARRAY_SORT(x)",
                "presto": "SELECT ARRAY_SORT(x)",
                "hive": "SELECT SORT_ARRAY(x)",
                "spark": "SELECT ARRAY_SORT(x)",
            },
        )

    def test_iif(self):
        self.validate_all(
            "SELECT IIF(cond, 'True', 'False')",
            write={"spark": "SELECT IF(cond, 'True', 'False')"},
        )

    def test_bool_or(self):
        self.validate_all(
            "SELECT a, LOGICAL_OR(b) FROM table GROUP BY a",
            write={"spark": "SELECT a, BOOL_OR(b) FROM table GROUP BY a"},
        )

    def test_current_user(self):
        self.validate_all(
            "CURRENT_USER",
            write={"spark": "CURRENT_USER()"},
        )
        self.validate_all(
            "CURRENT_USER()",
            write={"spark": "CURRENT_USER()"},
        )

    def test_transform_query(self):
        self.validate_identity("SELECT TRANSFORM(x) USING 'x' AS (x INT) FROM t")
        self.validate_identity(
            "SELECT TRANSFORM(zip_code, name, age) USING 'cat' AS (a, b, c) FROM person WHERE zip_code > 94511"
        )
        self.validate_identity(
            "SELECT TRANSFORM(zip_code, name, age) USING 'cat' AS (a STRING, b STRING, c STRING) FROM person WHERE zip_code > 94511"
        )
        self.validate_identity(
            "SELECT TRANSFORM(name, age) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' LINES TERMINATED BY '\n' NULL DEFINED AS 'NULL' USING 'cat' AS (name_age STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY '@' LINES TERMINATED BY '\n' NULL DEFINED AS 'NULL' FROM person"
        )
        self.validate_identity(
            "SELECT TRANSFORM(zip_code, name, age) ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe' WITH SERDEPROPERTIES ('field.delim'='\t') USING 'cat' AS (a STRING, b STRING, c STRING) ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe' WITH SERDEPROPERTIES ('field.delim'='\t') FROM person WHERE zip_code > 94511"
        )
        self.validate_identity(
            "SELECT TRANSFORM(zip_code, name, age) USING 'cat' FROM person WHERE zip_code > 94500"
        )

    def test_insert_cte(self):
        self.validate_all(
            "INSERT OVERWRITE TABLE table WITH cte AS (SELECT cola FROM other_table) SELECT cola FROM cte",
            write={
                "spark": "WITH cte AS (SELECT cola FROM other_table) INSERT OVERWRITE TABLE table SELECT cola FROM cte",
                "spark2": "WITH cte AS (SELECT cola FROM other_table) INSERT OVERWRITE TABLE table SELECT cola FROM cte",
                "databricks": "WITH cte AS (SELECT cola FROM other_table) INSERT OVERWRITE TABLE table SELECT cola FROM cte",
            },
        )

    def test_explode_to_unnest(self):
        self.validate_all(
            "SELECT EXPLODE(x) FROM tbl",
            write={
                "bigquery": "SELECT IF(pos = pos_2, col, NULL) AS col FROM tbl, UNNEST(GENERATE_ARRAY(0, GREATEST(ARRAY_LENGTH(x)) - 1)) AS pos CROSS JOIN UNNEST(x) AS col WITH OFFSET AS pos_2 WHERE pos = pos_2 OR (pos > (ARRAY_LENGTH(x) - 1) AND pos_2 = (ARRAY_LENGTH(x) - 1))",
                "presto": "SELECT IF(pos = pos_2, col) AS col FROM tbl, UNNEST(SEQUENCE(1, GREATEST(CARDINALITY(x)))) AS _u(pos) CROSS JOIN UNNEST(x) WITH ORDINALITY AS _u_2(col, pos_2) WHERE pos = pos_2 OR (pos > CARDINALITY(x) AND pos_2 = CARDINALITY(x))",
                "spark": "SELECT EXPLODE(x) FROM tbl",
            },
        )
        self.validate_all(
            "SELECT EXPLODE(col) FROM _u",
            write={
                "bigquery": "SELECT IF(pos = pos_2, col_2, NULL) AS col_2 FROM _u, UNNEST(GENERATE_ARRAY(0, GREATEST(ARRAY_LENGTH(col)) - 1)) AS pos CROSS JOIN UNNEST(col) AS col_2 WITH OFFSET AS pos_2 WHERE pos = pos_2 OR (pos > (ARRAY_LENGTH(col) - 1) AND pos_2 = (ARRAY_LENGTH(col) - 1))",
                "presto": "SELECT IF(pos = pos_2, col_2) AS col_2 FROM _u, UNNEST(SEQUENCE(1, GREATEST(CARDINALITY(col)))) AS _u_2(pos) CROSS JOIN UNNEST(col) WITH ORDINALITY AS _u_3(col_2, pos_2) WHERE pos = pos_2 OR (pos > CARDINALITY(col) AND pos_2 = CARDINALITY(col))",
                "spark": "SELECT EXPLODE(col) FROM _u",
            },
        )
        self.validate_all(
            "SELECT EXPLODE(col) AS exploded FROM schema.tbl",
            write={
                "presto": "SELECT IF(pos = pos_2, exploded) AS exploded FROM schema.tbl, UNNEST(SEQUENCE(1, GREATEST(CARDINALITY(col)))) AS _u(pos) CROSS JOIN UNNEST(col) WITH ORDINALITY AS _u_2(exploded, pos_2) WHERE pos = pos_2 OR (pos > CARDINALITY(col) AND pos_2 = CARDINALITY(col))",
            },
        )
        self.validate_all(
            "SELECT EXPLODE(ARRAY(1, 2))",
            write={
                "bigquery": "SELECT IF(pos = pos_2, col, NULL) AS col FROM UNNEST(GENERATE_ARRAY(0, GREATEST(ARRAY_LENGTH([1, 2])) - 1)) AS pos CROSS JOIN UNNEST([1, 2]) AS col WITH OFFSET AS pos_2 WHERE pos = pos_2 OR (pos > (ARRAY_LENGTH([1, 2]) - 1) AND pos_2 = (ARRAY_LENGTH([1, 2]) - 1))",
                "presto": "SELECT IF(pos = pos_2, col) AS col FROM UNNEST(SEQUENCE(1, GREATEST(CARDINALITY(ARRAY[1, 2])))) AS _u(pos) CROSS JOIN UNNEST(ARRAY[1, 2]) WITH ORDINALITY AS _u_2(col, pos_2) WHERE pos = pos_2 OR (pos > CARDINALITY(ARRAY[1, 2]) AND pos_2 = CARDINALITY(ARRAY[1, 2]))",
            },
        )
        self.validate_all(
            "SELECT POSEXPLODE(ARRAY(2, 3)) AS x",
            write={
                "bigquery": "SELECT IF(pos = pos_2, x, NULL) AS x, IF(pos = pos_2, pos_2, NULL) AS pos_2 FROM UNNEST(GENERATE_ARRAY(0, GREATEST(ARRAY_LENGTH([2, 3])) - 1)) AS pos CROSS JOIN UNNEST([2, 3]) AS x WITH OFFSET AS pos_2 WHERE pos = pos_2 OR (pos > (ARRAY_LENGTH([2, 3]) - 1) AND pos_2 = (ARRAY_LENGTH([2, 3]) - 1))",
                "presto": "SELECT IF(pos = pos_2, x) AS x, IF(pos = pos_2, pos_2) AS pos_2 FROM UNNEST(SEQUENCE(1, GREATEST(CARDINALITY(ARRAY[2, 3])))) AS _u(pos) CROSS JOIN UNNEST(ARRAY[2, 3]) WITH ORDINALITY AS _u_2(x, pos_2) WHERE pos = pos_2 OR (pos > CARDINALITY(ARRAY[2, 3]) AND pos_2 = CARDINALITY(ARRAY[2, 3]))",
            },
        )
        self.validate_all(
            "SELECT POSEXPLODE(x) AS (a, b)",
            write={
                "presto": "SELECT IF(pos = a, b) AS b, IF(pos = a, a) AS a FROM UNNEST(SEQUENCE(1, GREATEST(CARDINALITY(x)))) AS _u(pos) CROSS JOIN UNNEST(x) WITH ORDINALITY AS _u_2(b, a) WHERE pos = a OR (pos > CARDINALITY(x) AND a = CARDINALITY(x))",
            },
        )
        self.validate_all(
            "SELECT POSEXPLODE(ARRAY(2, 3)), EXPLODE(ARRAY(4, 5, 6)) FROM tbl",
            write={
                "bigquery": "SELECT IF(pos = pos_2, col, NULL) AS col, IF(pos = pos_2, pos_2, NULL) AS pos_2, IF(pos = pos_3, col_2, NULL) AS col_2 FROM tbl, UNNEST(GENERATE_ARRAY(0, GREATEST(ARRAY_LENGTH([2, 3]), ARRAY_LENGTH([4, 5, 6])) - 1)) AS pos CROSS JOIN UNNEST([2, 3]) AS col WITH OFFSET AS pos_2 CROSS JOIN UNNEST([4, 5, 6]) AS col_2 WITH OFFSET AS pos_3 WHERE (pos = pos_2 OR (pos > (ARRAY_LENGTH([2, 3]) - 1) AND pos_2 = (ARRAY_LENGTH([2, 3]) - 1))) AND (pos = pos_3 OR (pos > (ARRAY_LENGTH([4, 5, 6]) - 1) AND pos_3 = (ARRAY_LENGTH([4, 5, 6]) - 1)))",
                "presto": "SELECT IF(pos = pos_2, col) AS col, IF(pos = pos_2, pos_2) AS pos_2, IF(pos = pos_3, col_2) AS col_2 FROM tbl, UNNEST(SEQUENCE(1, GREATEST(CARDINALITY(ARRAY[2, 3]), CARDINALITY(ARRAY[4, 5, 6])))) AS _u(pos) CROSS JOIN UNNEST(ARRAY[2, 3]) WITH ORDINALITY AS _u_2(col, pos_2) CROSS JOIN UNNEST(ARRAY[4, 5, 6]) WITH ORDINALITY AS _u_3(col_2, pos_3) WHERE (pos = pos_2 OR (pos > CARDINALITY(ARRAY[2, 3]) AND pos_2 = CARDINALITY(ARRAY[2, 3]))) AND (pos = pos_3 OR (pos > CARDINALITY(ARRAY[4, 5, 6]) AND pos_3 = CARDINALITY(ARRAY[4, 5, 6])))",
            },
        )
        self.validate_all(
            "SELECT col, pos, POSEXPLODE(ARRAY(2, 3)) FROM _u",
            write={
                "presto": "SELECT col, pos, IF(pos_2 = pos_3, col_2) AS col_2, IF(pos_2 = pos_3, pos_3) AS pos_3 FROM _u, UNNEST(SEQUENCE(1, GREATEST(CARDINALITY(ARRAY[2, 3])))) AS _u_2(pos_2) CROSS JOIN UNNEST(ARRAY[2, 3]) WITH ORDINALITY AS _u_3(col_2, pos_3) WHERE pos_2 = pos_3 OR (pos_2 > CARDINALITY(ARRAY[2, 3]) AND pos_3 = CARDINALITY(ARRAY[2, 3]))",
            },
        )