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


class TestClickhouse(Validator):
    dialect = "clickhouse"

    def test_clickhouse(self):
        self.validate_identity("SELECT * FROM x LIMIT 1 UNION ALL SELECT * FROM y")

        string_types = [
            "BLOB",
            "LONGBLOB",
            "LONGTEXT",
            "MEDIUMBLOB",
            "MEDIUMTEXT",
            "TINYBLOB",
            "TINYTEXT",
            "VARCHAR(255)",
        ]

        for string_type in string_types:
            self.validate_identity(f"CAST(x AS {string_type})", "CAST(x AS String)")

        expr = parse_one("count(x)")
        self.assertEqual(expr.sql(dialect="clickhouse"), "COUNT(x)")
        self.assertIsNone(expr._meta)

        self.validate_identity("countIf(x, y)")
        self.validate_identity("x = y")
        self.validate_identity("x <> y")
        self.validate_identity("SELECT * FROM (SELECT a FROM b SAMPLE 0.01)")
        self.validate_identity("SELECT * FROM (SELECT a FROM b SAMPLE 1 / 10 OFFSET 1 / 2)")
        self.validate_identity("SELECT sum(foo * bar) FROM bla SAMPLE 10000000")
        self.validate_identity("CAST(x AS Nested(ID UInt32, Serial UInt32, EventTime DATETIME))")
        self.validate_identity("CAST(x AS Enum('hello' = 1, 'world' = 2))")
        self.validate_identity("CAST(x AS Enum('hello', 'world'))")
        self.validate_identity("CAST(x AS Enum('hello' = 1, 'world'))")
        self.validate_identity("CAST(x AS Enum8('hello' = -123, 'world'))")
        self.validate_identity("CAST(x AS FixedString(1))")
        self.validate_identity("CAST(x AS LowCardinality(FixedString))")
        self.validate_identity("SELECT isNaN(1.0)")
        self.validate_identity("SELECT startsWith('Spider-Man', 'Spi')")
        self.validate_identity("SELECT xor(TRUE, FALSE)")
        self.validate_identity("CAST(['hello'], 'Array(Enum8(''hello'' = 1))')")
        self.validate_identity("SELECT x, COUNT() FROM y GROUP BY x WITH TOTALS")
        self.validate_identity("SELECT INTERVAL t.days DAY")
        self.validate_identity("SELECT match('abc', '([a-z]+)')")
        self.validate_identity("dictGet(x, 'y')")
        self.validate_identity("WITH final AS (SELECT 1) SELECT * FROM final")
        self.validate_identity("SELECT * FROM x FINAL")
        self.validate_identity("SELECT * FROM x AS y FINAL")
        self.validate_identity("'a' IN mapKeys(map('a', 1, 'b', 2))")
        self.validate_identity("CAST((1, 2) AS Tuple(a Int8, b Int16))")
        self.validate_identity("SELECT * FROM foo LEFT ANY JOIN bla")
        self.validate_identity("SELECT * FROM foo LEFT ASOF JOIN bla")
        self.validate_identity("SELECT * FROM foo ASOF JOIN bla")
        self.validate_identity("SELECT * FROM foo ANY JOIN bla")
        self.validate_identity("SELECT * FROM foo GLOBAL ANY JOIN bla")
        self.validate_identity("SELECT * FROM foo GLOBAL LEFT ANY JOIN bla")
        self.validate_identity("SELECT quantile(0.5)(a)")
        self.validate_identity("SELECT quantiles(0.5)(a) AS x FROM t")
        self.validate_identity("SELECT quantilesIf(0.5)(a, a > 1) AS x FROM t")
        self.validate_identity("SELECT quantileState(0.5)(a) AS x FROM t")
        self.validate_identity("SELECT deltaSumMerge(a) AS x FROM t")
        self.validate_identity("SELECT quantiles(0.1, 0.2, 0.3)(a)")
        self.validate_identity("SELECT quantileTiming(0.5)(RANGE(100))")
        self.validate_identity("SELECT histogram(5)(a)")
        self.validate_identity("SELECT groupUniqArray(2)(a)")
        self.validate_identity("SELECT exponentialTimeDecayedAvg(60)(a, b)")
        self.validate_identity("SELECT * FROM foo WHERE x GLOBAL IN (SELECT * FROM bar)")
        self.validate_identity("position(haystack, needle)")
        self.validate_identity("position(haystack, needle, position)")
        self.validate_identity("CAST(x AS DATETIME)")
        self.validate_identity("CAST(x as MEDIUMINT)", "CAST(x AS Int32)")
        self.validate_identity("SELECT arrayJoin([1, 2, 3] AS src) AS dst, 'Hello', src")
        self.validate_identity("""SELECT JSONExtractString('{"x": {"y": 1}}', 'x', 'y')""")
        self.validate_identity("SELECT * FROM table LIMIT 1 BY a, b")
        self.validate_identity("SELECT * FROM table LIMIT 2 OFFSET 1 BY a, b")
        self.validate_identity(
            "SELECT $1$foo$1$",
            "SELECT 'foo'",
        )
        self.validate_identity(
            "SELECT * FROM table LIMIT 1, 2 BY a, b",
            "SELECT * FROM table LIMIT 2 OFFSET 1 BY a, b",
        )
        self.validate_identity(
            "SELECT * FROM table LIMIT 1 BY CONCAT(datalayerVariantNo, datalayerProductId, warehouse)"
        )
        self.validate_identity(
            """SELECT JSONExtractString('{"a": "hello", "b": [-100, 200.0, 300]}', 'a')"""
        )
        self.validate_identity(
            "ATTACH DATABASE DEFAULT ENGINE = ORDINARY", check_command_warning=True
        )
        self.validate_identity(
            "SELECT n, source FROM (SELECT toFloat32(number % 10) AS n, 'original' AS source FROM numbers(10) WHERE number % 3 = 1) ORDER BY n WITH FILL"
        )
        self.validate_identity(
            "SELECT n, source FROM (SELECT toFloat32(number % 10) AS n, 'original' AS source FROM numbers(10) WHERE number % 3 = 1) ORDER BY n WITH FILL FROM 0 TO 5.51 STEP 0.5"
        )
        self.validate_identity(
            "SELECT toDate((number * 10) * 86400) AS d1, toDate(number * 86400) AS d2, 'original' AS source FROM numbers(10) WHERE (number % 3) = 1 ORDER BY d2 WITH FILL, d1 WITH FILL STEP 5"
        )
        self.validate_identity(
            "SELECT n, source, inter FROM (SELECT toFloat32(number % 10) AS n, 'original' AS source, number AS inter FROM numbers(10) WHERE number % 3 = 1) ORDER BY n WITH FILL FROM 0 TO 5.51 STEP 0.5 INTERPOLATE (inter AS inter + 1)"
        )
        self.validate_identity(
            "SELECT SUM(1) AS impressions, arrayJoin(cities) AS city, arrayJoin(browsers) AS browser FROM (SELECT ['Istanbul', 'Berlin', 'Bobruisk'] AS cities, ['Firefox', 'Chrome', 'Chrome'] AS browsers) GROUP BY 2, 3"
        )
        self.validate_identity(
            "SELECT sum(1) AS impressions, (arrayJoin(arrayZip(cities, browsers)) AS t).1 AS city, t.2 AS browser FROM (SELECT ['Istanbul', 'Berlin', 'Bobruisk'] AS cities, ['Firefox', 'Chrome', 'Chrome'] AS browsers) GROUP BY 2, 3"
        )
        self.validate_identity(
            "SELECT SUM(1) AS impressions FROM (SELECT ['Istanbul', 'Berlin', 'Bobruisk'] AS cities) WHERE arrayJoin(cities) IN ['Istanbul', 'Berlin']",
            "SELECT SUM(1) AS impressions FROM (SELECT ['Istanbul', 'Berlin', 'Bobruisk'] AS cities) WHERE arrayJoin(cities) IN ('Istanbul', 'Berlin')",
        )
        self.validate_identity(
            'SELECT CAST(tuple(1 AS "a", 2 AS "b", 3.0 AS "c").2 AS Nullable(String))'
        )
        self.validate_identity(
            "CREATE TABLE test (id UInt8) ENGINE=AggregatingMergeTree() ORDER BY tuple()"
        )
        self.validate_identity(
            "CREATE TABLE test ON CLUSTER default (id UInt8) ENGINE=AggregatingMergeTree() ORDER BY tuple()"
        )
        self.validate_identity(
            "CREATE MATERIALIZED VIEW test_view ON CLUSTER cl1 (id UInt8) ENGINE=AggregatingMergeTree() ORDER BY tuple() AS SELECT * FROM test_data"
        )
        self.validate_identity(
            "CREATE MATERIALIZED VIEW test_view ON CLUSTER cl1 (id UInt8) TO table1 AS SELECT * FROM test_data"
        )
        self.validate_identity(
            "CREATE MATERIALIZED VIEW test_view (id UInt8) TO db.table1 AS SELECT * FROM test_data"
        )

        self.validate_all(
            "SELECT arrayJoin([1,2,3])",
            write={
                "clickhouse": "SELECT arrayJoin([1, 2, 3])",
                "postgres": "SELECT UNNEST(ARRAY[1, 2, 3])",
            },
        )
        self.validate_all(
            "has([1], x)",
            read={
                "postgres": "x = any(array[1])",
            },
        )
        self.validate_all(
            "NOT has([1], x)",
            read={
                "postgres": "any(array[1]) <> x",
            },
        )
        self.validate_all(
            "SELECT CAST('2020-01-01' AS TIMESTAMP) + INTERVAL '500' MICROSECOND",
            read={
                "duckdb": "SELECT TIMESTAMP '2020-01-01' + INTERVAL '500 us'",
                "postgres": "SELECT TIMESTAMP '2020-01-01' + INTERVAL '500 us'",
            },
        )
        self.validate_all(
            "SELECT CURRENT_DATE()",
            read={
                "clickhouse": "SELECT CURRENT_DATE()",
                "postgres": "SELECT CURRENT_DATE",
            },
        )
        self.validate_all(
            "SELECT CURRENT_TIMESTAMP()",
            read={
                "clickhouse": "SELECT CURRENT_TIMESTAMP()",
                "postgres": "SELECT CURRENT_TIMESTAMP",
            },
        )
        self.validate_all(
            "SELECT match('ThOmAs', CONCAT('(?i)', 'thomas'))",
            read={
                "postgres": "SELECT 'ThOmAs' ~* 'thomas'",
            },
        )
        self.validate_all(
            "SELECT match('ThOmAs', CONCAT('(?i)', x)) FROM t",
            read={
                "postgres": "SELECT 'ThOmAs' ~* x FROM t",
            },
        )
        self.validate_all(
            "SELECT '\\0'",
            read={
                "mysql": "SELECT '\0'",
            },
            write={
                "clickhouse": "SELECT '\\0'",
                "mysql": "SELECT '\0'",
            },
        )
        self.validate_all(
            "DATE_ADD(DAY, 1, x)",
            read={
                "clickhouse": "dateAdd(DAY, 1, x)",
                "presto": "DATE_ADD('DAY', 1, x)",
            },
            write={
                "clickhouse": "DATE_ADD(DAY, 1, x)",
                "presto": "DATE_ADD('DAY', 1, x)",
                "": "DATE_ADD(x, 1, 'DAY')",
            },
        )
        self.validate_all(
            "DATE_DIFF(DAY, a, b)",
            read={
                "clickhouse": "dateDiff(DAY, a, b)",
                "presto": "DATE_DIFF('DAY', a, b)",
            },
            write={
                "clickhouse": "DATE_DIFF(DAY, a, b)",
                "presto": "DATE_DIFF('DAY', a, b)",
                "": "DATEDIFF(b, a, DAY)",
            },
        )
        self.validate_all(
            "SELECT xor(1, 0)",
            read={
                "clickhouse": "SELECT xor(1, 0)",
                "mysql": "SELECT 1 XOR 0",
            },
            write={
                "mysql": "SELECT 1 XOR 0",
            },
        )
        self.validate_all(
            "SELECT xor(0, 1, xor(1, 0, 0))",
            write={
                "clickhouse": "SELECT xor(0, 1, xor(1, 0, 0))",
                "mysql": "SELECT 0 XOR 1 XOR 1 XOR 0 XOR 0",
            },
        )
        self.validate_all(
            "SELECT xor(xor(1, 0), 1)",
            read={
                "clickhouse": "SELECT xor(xor(1, 0), 1)",
                "mysql": "SELECT 1 XOR 0 XOR 1",
            },
            write={
                "clickhouse": "SELECT xor(xor(1, 0), 1)",
                "mysql": "SELECT 1 XOR 0 XOR 1",
            },
        )
        self.validate_all(
            "CONCAT(a, b)",
            read={
                "clickhouse": "CONCAT(a, b)",
                "mysql": "CONCAT(a, b)",
            },
            write={
                "mysql": "CONCAT(a, b)",
                "postgres": "CONCAT(a, b)",
            },
        )
        self.validate_all(
            r"'Enum8(\'Sunday\' = 0)'", write={"clickhouse": "'Enum8(''Sunday'' = 0)'"}
        )
        self.validate_all(
            "SELECT uniq(x) FROM (SELECT any(y) AS x FROM (SELECT 1 AS y))",
            read={
                "bigquery": "SELECT APPROX_COUNT_DISTINCT(x) FROM (SELECT ANY_VALUE(y) x FROM (SELECT 1 y))",
            },
            write={
                "bigquery": "SELECT APPROX_COUNT_DISTINCT(x) FROM (SELECT ANY_VALUE(y) AS x FROM (SELECT 1 AS y))",
            },
        )
        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",
                "spark": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname ASC NULLS LAST, lname NULLS LAST",
            },
        )
        self.validate_all(
            "CAST(1 AS NULLABLE(Int64))",
            write={
                "clickhouse": "CAST(1 AS Nullable(Int64))",
            },
        )
        self.validate_all(
            "CAST(1 AS Nullable(DateTime64(6, 'UTC')))",
            write={"clickhouse": "CAST(1 AS Nullable(DateTime64(6, 'UTC')))"},
        )
        self.validate_all(
            "SELECT x #! comment",
            write={"": "SELECT x /* comment */"},
        )
        self.validate_all(
            "SELECT quantileIf(0.5)(a, true)",
            write={
                "clickhouse": "SELECT quantileIf(0.5)(a, TRUE)",
            },
        )
        self.validate_all(
            "SELECT position(needle IN haystack)",
            write={"clickhouse": "SELECT position(haystack, needle)"},
        )
        self.validate_identity(
            "SELECT * FROM x LIMIT 10 SETTINGS max_results = 100, result = 'break'"
        )
        self.validate_identity("SELECT * FROM x LIMIT 10 SETTINGS max_results = 100, result_")
        self.validate_identity("SELECT * FROM x FORMAT PrettyCompact")
        self.validate_identity(
            "SELECT * FROM x LIMIT 10 SETTINGS max_results = 100, result_ FORMAT PrettyCompact"
        )
        self.validate_all(
            "SELECT * FROM foo JOIN bar USING id, name",
            write={"clickhouse": "SELECT * FROM foo JOIN bar USING (id, name)"},
        )
        self.validate_all(
            "SELECT * FROM foo ANY LEFT JOIN bla ON foo.c1 = bla.c2",
            write={"clickhouse": "SELECT * FROM foo LEFT ANY JOIN bla ON foo.c1 = bla.c2"},
        )
        self.validate_all(
            "SELECT * FROM foo GLOBAL ANY LEFT JOIN bla ON foo.c1 = bla.c2",
            write={"clickhouse": "SELECT * FROM foo GLOBAL LEFT ANY JOIN bla ON foo.c1 = bla.c2"},
        )
        self.validate_all(
            """
            SELECT
                loyalty,
                count()
            FROM hits SEMI LEFT JOIN users USING (UserID)
            GROUP BY loyalty
            ORDER BY loyalty ASC
            """,
            write={
                "clickhouse": "SELECT loyalty, count() FROM hits LEFT SEMI JOIN users USING (UserID)"
                " GROUP BY loyalty ORDER BY loyalty ASC"
            },
        )
        self.validate_identity("SELECT s, arr FROM arrays_test ARRAY JOIN arr")
        self.validate_identity("SELECT s, arr, a FROM arrays_test LEFT ARRAY JOIN arr AS a")
        self.validate_identity(
            "SELECT s, arr_external FROM arrays_test ARRAY JOIN [1, 2, 3] AS arr_external"
        )
        self.validate_all(
            "SELECT quantile(0.5)(a)",
            read={"duckdb": "SELECT quantile(a, 0.5)"},
            write={"clickhouse": "SELECT quantile(0.5)(a)"},
        )
        self.validate_all(
            "SELECT quantiles(0.5, 0.4)(a)",
            read={"duckdb": "SELECT quantile(a, [0.5, 0.4])"},
            write={"clickhouse": "SELECT quantiles(0.5, 0.4)(a)"},
        )
        self.validate_all(
            "SELECT quantiles(0.5)(a)",
            read={"duckdb": "SELECT quantile(a, [0.5])"},
            write={"clickhouse": "SELECT quantiles(0.5)(a)"},
        )

        self.validate_identity("SELECT isNaN(x)")
        self.validate_all(
            "SELECT IS_NAN(x), ISNAN(x)",
            write={"clickhouse": "SELECT isNaN(x), isNaN(x)"},
        )

        self.validate_identity("SELECT startsWith('a', 'b')")
        self.validate_all(
            "SELECT STARTS_WITH('a', 'b'), STARTSWITH('a', 'b')",
            write={"clickhouse": "SELECT startsWith('a', 'b'), startsWith('a', 'b')"},
        )
        self.validate_identity("SYSTEM STOP MERGES foo.bar", check_command_warning=True)

    def test_cte(self):
        self.validate_identity("WITH 'x' AS foo SELECT foo")
        self.validate_identity("WITH SUM(bytes) AS foo SELECT foo FROM system.parts")
        self.validate_identity("WITH (SELECT foo) AS bar SELECT bar + 5")
        self.validate_identity("WITH test1 AS (SELECT i + 1, j + 1 FROM test1) SELECT * FROM test1")

        query = parse_one("""WITH (SELECT 1) AS y SELECT * FROM y""", read="clickhouse")
        self.assertIsInstance(query.args["with"].expressions[0].this, exp.Subquery)
        self.assertEqual(query.args["with"].expressions[0].alias, "y")

    def test_ternary(self):
        self.validate_all("x ? 1 : 2", write={"clickhouse": "CASE WHEN x THEN 1 ELSE 2 END"})
        self.validate_all(
            "IF(BAR(col), sign > 0 ? FOO() : 0, 1)",
            write={
                "clickhouse": "CASE WHEN BAR(col) THEN CASE WHEN sign > 0 THEN FOO() ELSE 0 END ELSE 1 END"
            },
        )
        self.validate_all(
            "x AND FOO() > 3 + 2 ? 1 : 2",
            write={"clickhouse": "CASE WHEN x AND FOO() > 3 + 2 THEN 1 ELSE 2 END"},
        )
        self.validate_all(
            "x ? (y ? 1 : 2) : 3",
            write={"clickhouse": "CASE WHEN x THEN (CASE WHEN y THEN 1 ELSE 2 END) ELSE 3 END"},
        )
        self.validate_all(
            "x AND (foo() ? FALSE : TRUE) ? (y ? 1 : 2) : 3",
            write={
                "clickhouse": "CASE WHEN x AND (CASE WHEN foo() THEN FALSE ELSE TRUE END) THEN (CASE WHEN y THEN 1 ELSE 2 END) ELSE 3 END"
            },
        )

        ternary = parse_one("x ? (y ? 1 : 2) : 3", read="clickhouse")

        self.assertIsInstance(ternary, exp.If)
        self.assertIsInstance(ternary.this, exp.Column)
        self.assertIsInstance(ternary.args["true"], exp.Paren)
        self.assertIsInstance(ternary.args["false"], exp.Literal)

        nested_ternary = ternary.args["true"].this

        self.assertIsInstance(nested_ternary.this, exp.Column)
        self.assertIsInstance(nested_ternary.args["true"], exp.Literal)
        self.assertIsInstance(nested_ternary.args["false"], exp.Literal)

        parse_one("a and b ? 1 : 2", read="clickhouse").assert_is(exp.If).this.assert_is(exp.And)

    def test_parameterization(self):
        self.validate_all(
            "SELECT {abc: UInt32}, {b: String}, {c: DateTime},{d: Map(String, Array(UInt8))}, {e: Tuple(UInt8, String)}",
            write={
                "clickhouse": "SELECT {abc: UInt32}, {b: String}, {c: DATETIME}, {d: Map(String, Array(UInt8))}, {e: Tuple(UInt8, String)}",
                "": "SELECT :abc, :b, :c, :d, :e",
            },
        )
        self.validate_all(
            "SELECT * FROM {table: Identifier}",
            write={"clickhouse": "SELECT * FROM {table: Identifier}"},
        )

    def test_signed_and_unsigned_types(self):
        data_types = [
            "UInt8",
            "UInt16",
            "UInt32",
            "UInt64",
            "UInt128",
            "UInt256",
            "Int8",
            "Int16",
            "Int32",
            "Int64",
            "Int128",
            "Int256",
        ]
        for data_type in data_types:
            self.validate_all(
                f"pow(2, 32)::{data_type}",
                write={"clickhouse": f"CAST(pow(2, 32) AS {data_type})"},
            )

    def test_ddl(self):
        self.validate_identity(
            'CREATE TABLE data5 ("x" UInt32, "y" UInt32) ENGINE=MergeTree ORDER BY (round(y / 1000000000), cityHash64(x)) SAMPLE BY cityHash64(x)'
        )
        self.validate_identity(
            "CREATE TABLE foo (x UInt32) TTL time_column + INTERVAL '1' MONTH DELETE WHERE column = 'value'"
        )

        self.validate_all(
            """
            CREATE TABLE example1 (
               timestamp DateTime,
               x UInt32 TTL now() + INTERVAL 1 MONTH,
               y String TTL timestamp + INTERVAL 1 DAY,
               z String
            )
            ENGINE = MergeTree
            ORDER BY tuple()
            """,
            write={
                "clickhouse": """CREATE TABLE example1 (
  timestamp DATETIME,
  x UInt32 TTL now() + INTERVAL '1' MONTH,
  y String TTL timestamp + INTERVAL '1' DAY,
  z String
)
ENGINE=MergeTree
ORDER BY tuple()""",
            },
            pretty=True,
        )
        self.validate_all(
            """
            CREATE TABLE test (id UInt64, timestamp DateTime64, data String, max_hits UInt64, sum_hits UInt64) ENGINE = MergeTree
            PRIMARY KEY (id, toStartOfDay(timestamp), timestamp)
            TTL timestamp + INTERVAL 1 DAY
            GROUP BY id, toStartOfDay(timestamp)
            SET
               max_hits = max(max_hits),
               sum_hits = sum(sum_hits)
            """,
            write={
                "clickhouse": """CREATE TABLE test (
  id UInt64,
  timestamp DateTime64,
  data String,
  max_hits UInt64,
  sum_hits UInt64
)
ENGINE=MergeTree
PRIMARY KEY (id, toStartOfDay(timestamp), timestamp)
TTL
  timestamp + INTERVAL '1' DAY
GROUP BY
  id,
  toStartOfDay(timestamp)
SET
  max_hits = max(max_hits),
  sum_hits = sum(sum_hits)""",
            },
            pretty=True,
        )
        self.validate_all(
            """
            CREATE TABLE test (id String, data String) ENGINE = AggregatingMergeTree()
                ORDER BY tuple()
            SETTINGS
                max_suspicious_broken_parts=500,
                parts_to_throw_insert=100
            """,
            write={
                "clickhouse": """CREATE TABLE test (
  id String,
  data String
)
ENGINE=AggregatingMergeTree()
ORDER BY tuple()
SETTINGS
  max_suspicious_broken_parts = 500,
  parts_to_throw_insert = 100""",
            },
            pretty=True,
        )
        self.validate_all(
            """
            CREATE TABLE example_table
            (
                d DateTime,
                a Int
            )
            ENGINE = MergeTree
            PARTITION BY toYYYYMM(d)
            ORDER BY d
            TTL d + INTERVAL 1 MONTH DELETE,
                d + INTERVAL 1 WEEK TO VOLUME 'aaa',
                d + INTERVAL 2 WEEK TO DISK 'bbb';
            """,
            write={
                "clickhouse": """CREATE TABLE example_table (
  d DATETIME,
  a Int32
)
ENGINE=MergeTree
PARTITION BY toYYYYMM(d)
ORDER BY d
TTL
  d + INTERVAL '1' MONTH DELETE,
  d + INTERVAL '1' WEEK TO VOLUME 'aaa',
  d + INTERVAL '2' WEEK TO DISK 'bbb'""",
            },
            pretty=True,
        )
        self.validate_all(
            """
            CREATE TABLE table_with_where
            (
                d DateTime,
                a Int
            )
            ENGINE = MergeTree
            PARTITION BY toYYYYMM(d)
            ORDER BY d
            TTL d + INTERVAL 1 MONTH DELETE WHERE toDayOfWeek(d) = 1;
            """,
            write={
                "clickhouse": """CREATE TABLE table_with_where (
  d DATETIME,
  a Int32
)
ENGINE=MergeTree
PARTITION BY toYYYYMM(d)
ORDER BY d
TTL
  d + INTERVAL '1' MONTH DELETE
WHERE
  toDayOfWeek(d) = 1""",
            },
            pretty=True,
        )
        self.validate_all(
            """
            CREATE TABLE table_for_recompression
            (
                d DateTime,
                key UInt64,
                value String
            ) ENGINE MergeTree()
            ORDER BY tuple()
            PARTITION BY key
            TTL d + INTERVAL 1 MONTH RECOMPRESS CODEC(ZSTD(17)), d + INTERVAL 1 YEAR RECOMPRESS CODEC(LZ4HC(10))
            SETTINGS min_rows_for_wide_part = 0, min_bytes_for_wide_part = 0;
            """,
            write={
                "clickhouse": """CREATE TABLE table_for_recompression (
  d DATETIME,
  key UInt64,
  value String
)
ENGINE=MergeTree()
ORDER BY tuple()
PARTITION BY key
TTL
  d + INTERVAL '1' MONTH RECOMPRESS CODEC(ZSTD(17)),
  d + INTERVAL '1' YEAR RECOMPRESS CODEC(LZ4HC(10))
SETTINGS
  min_rows_for_wide_part = 0,
  min_bytes_for_wide_part = 0""",
            },
            pretty=True,
        )
        self.validate_all(
            """
            CREATE TABLE table_for_aggregation
            (
                d DateTime,
                k1 Int,
                k2 Int,
                x Int,
                y Int
            )
            ENGINE = MergeTree
            ORDER BY (k1, k2)
            TTL d + INTERVAL 1 MONTH GROUP BY k1, k2 SET x = max(x), y = min(y);
            """,
            write={
                "clickhouse": """CREATE TABLE table_for_aggregation (
  d DATETIME,
  k1 Int32,
  k2 Int32,
  x Int32,
  y Int32
)
ENGINE=MergeTree
ORDER BY (k1, k2)
TTL
  d + INTERVAL '1' MONTH
GROUP BY
  k1,
  k2
SET
  x = max(x),
  y = min(y)""",
            },
            pretty=True,
        )
        self.validate_all(
            """
            CREATE DICTIONARY discounts_dict (
                advertiser_id UInt64,
                discount_start_date Date,
                discount_end_date Date,
                amount Float64
            )
            PRIMARY KEY id
            SOURCE(CLICKHOUSE(TABLE 'discounts'))
            LIFETIME(MIN 1 MAX 1000)
            LAYOUT(RANGE_HASHED(range_lookup_strategy 'max'))
            RANGE(MIN discount_start_date MAX discount_end_date)
            """,
            write={
                "clickhouse": """CREATE DICTIONARY discounts_dict (
  advertiser_id UInt64,
  discount_start_date DATE,
  discount_end_date DATE,
  amount Float64
)
PRIMARY KEY (id)
SOURCE(CLICKHOUSE(
  TABLE 'discounts'
))
LIFETIME(MIN 1 MAX 1000)
LAYOUT(RANGE_HASHED(
  range_lookup_strategy 'max'
))
RANGE(MIN discount_start_date MAX discount_end_date)""",
            },
            pretty=True,
        )
        self.validate_all(
            """
            CREATE DICTIONARY my_ip_trie_dictionary (
                prefix String,
                asn UInt32,
                cca2 String DEFAULT '??'
            )
            PRIMARY KEY prefix
            SOURCE(CLICKHOUSE(TABLE 'my_ip_addresses'))
            LAYOUT(IP_TRIE)
            LIFETIME(3600);
            """,
            write={
                "clickhouse": """CREATE DICTIONARY my_ip_trie_dictionary (
  prefix String,
  asn UInt32,
  cca2 String DEFAULT '??'
)
PRIMARY KEY (prefix)
SOURCE(CLICKHOUSE(
  TABLE 'my_ip_addresses'
))
LAYOUT(IP_TRIE())
LIFETIME(MIN 0 MAX 3600)""",
            },
            pretty=True,
        )
        self.validate_all(
            """
            CREATE DICTIONARY polygons_test_dictionary
            (
                key Array(Array(Array(Tuple(Float64, Float64)))),
                name String
            )
            PRIMARY KEY key
            SOURCE(CLICKHOUSE(TABLE 'polygons_test_table'))
            LAYOUT(POLYGON(STORE_POLYGON_KEY_COLUMN 1))
            LIFETIME(0);
            """,
            write={
                "clickhouse": """CREATE DICTIONARY polygons_test_dictionary (
  key Array(Array(Array(Tuple(Float64, Float64)))),
  name String
)
PRIMARY KEY (key)
SOURCE(CLICKHOUSE(
  TABLE 'polygons_test_table'
))
LAYOUT(POLYGON(
  STORE_POLYGON_KEY_COLUMN 1
))
LIFETIME(MIN 0 MAX 0)""",
            },
            pretty=True,
        )
        self.validate_identity("""CREATE TABLE ip_data (ip4 IPv4, ip6 IPv6) ENGINE=TinyLog()""")
        self.validate_identity("""CREATE TABLE dates (dt1 Date32) ENGINE=TinyLog()""")
        self.validate_all(
            """
            CREATE TABLE t (
                a AggregateFunction(quantiles(0.5, 0.9), UInt64),
                b AggregateFunction(quantiles, UInt64),
                c SimpleAggregateFunction(sum, Float64)
            )""",
            write={
                "clickhouse": """CREATE TABLE t (
  a AggregateFunction(quantiles(0.5, 0.9), UInt64),
  b AggregateFunction(quantiles, UInt64),
  c SimpleAggregateFunction(sum, Float64)
)"""
            },
            pretty=True,
        )
