1277 lines
51 KiB
Python
1277 lines
51 KiB
Python
from datetime import date, datetime, timezone
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from sqlglot import exp, parse_one
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from sqlglot.dialects import ClickHouse
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from sqlglot.expressions import convert
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from sqlglot.optimizer import traverse_scope
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from tests.dialects.test_dialect import Validator
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from sqlglot.errors import ErrorLevel
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class TestClickhouse(Validator):
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dialect = "clickhouse"
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def test_clickhouse(self):
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for string_type_enum in ClickHouse.Generator.STRING_TYPE_MAPPING:
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self.validate_identity(f"CAST(x AS {string_type_enum.value})", "CAST(x AS String)")
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# Arrays, maps and tuples can't be Nullable in ClickHouse
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for non_nullable_type in ("ARRAY<INT>", "MAP<INT, INT>", "STRUCT(a: INT)"):
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try_cast = parse_one(f"TRY_CAST(x AS {non_nullable_type})")
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target_type = try_cast.to.sql("clickhouse")
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self.assertEqual(try_cast.sql("clickhouse"), f"CAST(x AS {target_type})")
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for nullable_type in ("INT", "UINT", "BIGINT", "FLOAT", "DOUBLE", "TEXT", "DATE", "UUID"):
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try_cast = parse_one(f"TRY_CAST(x AS {nullable_type})")
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target_type = exp.DataType.build(nullable_type, dialect="clickhouse").sql("clickhouse")
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self.assertEqual(try_cast.sql("clickhouse"), f"CAST(x AS Nullable({target_type}))")
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expr = parse_one("count(x)")
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self.assertEqual(expr.sql(dialect="clickhouse"), "COUNT(x)")
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self.assertIsNone(expr._meta)
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self.validate_identity("WITH arrayJoin([(1, [2, 3])]) AS arr SELECT arr")
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self.validate_identity("CAST(1 AS Bool)")
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self.validate_identity("SELECT toString(CHAR(104.1, 101, 108.9, 108.9, 111, 32))")
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self.validate_identity("@macro").assert_is(exp.Parameter).this.assert_is(exp.Var)
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self.validate_identity("SELECT toFloat(like)")
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self.validate_identity("SELECT like")
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self.validate_identity("SELECT STR_TO_DATE(str, fmt, tz)")
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self.validate_identity("SELECT STR_TO_DATE('05 12 2000', '%d %m %Y')")
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self.validate_identity("SELECT EXTRACT(YEAR FROM toDateTime('2023-02-01'))")
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self.validate_identity("extract(haystack, pattern)")
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self.validate_identity("SELECT * FROM x LIMIT 1 UNION ALL SELECT * FROM y")
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self.validate_identity("SELECT CAST(x AS Tuple(String, Array(Nullable(Float64))))")
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self.validate_identity("countIf(x, y)")
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self.validate_identity("x = y")
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self.validate_identity("x <> y")
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self.validate_identity("SELECT * FROM (SELECT a FROM b SAMPLE 0.01)")
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self.validate_identity("SELECT * FROM (SELECT a FROM b SAMPLE 1 / 10 OFFSET 1 / 2)")
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self.validate_identity("SELECT sum(foo * bar) FROM bla SAMPLE 10000000")
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self.validate_identity("CAST(x AS Nested(ID UInt32, Serial UInt32, EventTime DateTime))")
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self.validate_identity("CAST(x AS Enum('hello' = 1, 'world' = 2))")
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self.validate_identity("CAST(x AS Enum('hello', 'world'))")
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self.validate_identity("CAST(x AS Enum('hello' = 1, 'world'))")
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self.validate_identity("CAST(x AS Enum8('hello' = -123, 'world'))")
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self.validate_identity("CAST(x AS FixedString(1))")
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self.validate_identity("CAST(x AS LowCardinality(FixedString))")
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self.validate_identity("SELECT isNaN(1.0)")
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self.validate_identity("SELECT startsWith('Spider-Man', 'Spi')")
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self.validate_identity("SELECT xor(TRUE, FALSE)")
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self.validate_identity("CAST(['hello'], 'Array(Enum8(''hello'' = 1))')")
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self.validate_identity("SELECT x, COUNT() FROM y GROUP BY x WITH TOTALS")
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self.validate_identity("SELECT INTERVAL t.days DAY")
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self.validate_identity("SELECT match('abc', '([a-z]+)')")
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self.validate_identity("dictGet(x, 'y')")
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self.validate_identity("WITH final AS (SELECT 1) SELECT * FROM final")
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self.validate_identity("SELECT * FROM x FINAL")
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self.validate_identity("SELECT * FROM x AS y FINAL")
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self.validate_identity("'a' IN mapKeys(map('a', 1, 'b', 2))")
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self.validate_identity("CAST((1, 2) AS Tuple(a Int8, b Int16))")
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self.validate_identity("SELECT * FROM foo LEFT ANY JOIN bla")
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self.validate_identity("SELECT * FROM foo LEFT ASOF JOIN bla")
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self.validate_identity("SELECT * FROM foo ASOF JOIN bla")
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self.validate_identity("SELECT * FROM foo ANY JOIN bla")
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self.validate_identity("SELECT * FROM foo GLOBAL ANY JOIN bla")
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self.validate_identity("SELECT * FROM foo GLOBAL LEFT ANY JOIN bla")
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self.validate_identity("SELECT quantile(0.5)(a)")
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self.validate_identity("SELECT quantiles(0.5)(a) AS x FROM t")
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self.validate_identity("SELECT quantilesIf(0.5)(a, a > 1) AS x FROM t")
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self.validate_identity("SELECT quantileState(0.5)(a) AS x FROM t")
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self.validate_identity("SELECT deltaSumMerge(a) AS x FROM t")
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self.validate_identity("SELECT quantiles(0.1, 0.2, 0.3)(a)")
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self.validate_identity("SELECT quantileTiming(0.5)(RANGE(100))")
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self.validate_identity("SELECT histogram(5)(a)")
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self.validate_identity("SELECT groupUniqArray(2)(a)")
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self.validate_identity("SELECT exponentialTimeDecayedAvg(60)(a, b)")
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self.validate_identity("levenshteinDistance(col1, col2)", "editDistance(col1, col2)")
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self.validate_identity("SELECT * FROM foo WHERE x GLOBAL IN (SELECT * FROM bar)")
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self.validate_identity("POSITION(haystack, needle)")
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self.validate_identity("POSITION(haystack, needle, position)")
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self.validate_identity("CAST(x AS DATETIME)", "CAST(x AS DateTime)")
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self.validate_identity("CAST(x AS TIMESTAMPTZ)", "CAST(x AS DateTime)")
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self.validate_identity("CAST(x as MEDIUMINT)", "CAST(x AS Int32)")
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self.validate_identity("CAST(x AS DECIMAL(38, 2))", "CAST(x AS Decimal(38, 2))")
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self.validate_identity("SELECT arrayJoin([1, 2, 3] AS src) AS dst, 'Hello', src")
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self.validate_identity("""SELECT JSONExtractString('{"x": {"y": 1}}', 'x', 'y')""")
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self.validate_identity("SELECT * FROM table LIMIT 1 BY a, b")
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self.validate_identity("SELECT * FROM table LIMIT 2 OFFSET 1 BY a, b")
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self.validate_identity("TRUNCATE TABLE t1 ON CLUSTER test_cluster")
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self.validate_identity("TRUNCATE DATABASE db")
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self.validate_identity("TRUNCATE DATABASE db ON CLUSTER test_cluster")
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self.validate_identity(
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"SELECT DATE_BIN(toDateTime('2023-01-01 14:45:00'), INTERVAL '1' MINUTE, toDateTime('2023-01-01 14:35:30'), 'UTC')",
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)
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self.validate_identity(
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"SELECT CAST(1730098800 AS DateTime64) AS DATETIME, 'test' AS interp ORDER BY DATETIME WITH FILL FROM toDateTime64(1730098800, 3) - INTERVAL '7' HOUR TO toDateTime64(1730185140, 3) - INTERVAL '7' HOUR STEP toIntervalSecond(900) INTERPOLATE (interp)"
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)
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self.validate_identity(
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"SELECT number, COUNT() OVER (PARTITION BY number % 3) AS partition_count FROM numbers(10) WINDOW window_name AS (PARTITION BY number) QUALIFY partition_count = 4 ORDER BY number"
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)
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self.validate_identity(
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"SELECT id, quantileGK(100, 0.95)(reading) OVER (PARTITION BY id ORDER BY id RANGE BETWEEN 30000 PRECEDING AND CURRENT ROW) AS window FROM table"
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)
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self.validate_identity(
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"SELECT * FROM table LIMIT 1 BY CONCAT(datalayerVariantNo, datalayerProductId, warehouse)"
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)
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self.validate_identity(
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"""SELECT JSONExtractString('{"a": "hello", "b": [-100, 200.0, 300]}', 'a')"""
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)
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self.validate_identity(
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"ATTACH DATABASE DEFAULT ENGINE = ORDINARY", check_command_warning=True
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)
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self.validate_identity(
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"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"
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)
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self.validate_identity(
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"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"
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)
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self.validate_identity(
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"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"
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)
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self.validate_identity(
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"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)"
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)
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self.validate_identity(
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"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"
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)
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self.validate_identity(
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"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"
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)
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self.validate_identity(
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'SELECT CAST(tuple(1 AS "a", 2 AS "b", 3.0 AS "c").2 AS Nullable(String))'
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)
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self.validate_identity(
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"CREATE TABLE test (id UInt8) ENGINE=AggregatingMergeTree() ORDER BY tuple()"
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)
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self.validate_identity(
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"CREATE TABLE test ON CLUSTER default (id UInt8) ENGINE=AggregatingMergeTree() ORDER BY tuple()"
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)
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self.validate_identity(
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"CREATE MATERIALIZED VIEW test_view ON CLUSTER cl1 (id UInt8) ENGINE=AggregatingMergeTree() ORDER BY tuple() AS SELECT * FROM test_data"
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)
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self.validate_identity(
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"CREATE MATERIALIZED VIEW test_view ON CLUSTER cl1 TO table1 AS SELECT * FROM test_data"
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)
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self.validate_identity(
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"CREATE MATERIALIZED VIEW test_view TO db.table1 (id UInt8) AS SELECT * FROM test_data"
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)
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self.validate_identity(
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"CREATE TABLE t (foo String CODEC(LZ4HC(9), ZSTD, DELTA), size String ALIAS formatReadableSize(size_bytes), INDEX idx1 a TYPE bloom_filter(0.001) GRANULARITY 1, INDEX idx2 a TYPE set(100) GRANULARITY 2, INDEX idx3 a TYPE minmax GRANULARITY 3)"
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)
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self.validate_identity(
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"INSERT INTO tab VALUES ({'key1': 1, 'key2': 10}), ({'key1': 2, 'key2': 20}), ({'key1': 3, 'key2': 30})",
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"INSERT INTO tab VALUES (map('key1', 1, 'key2', 10)), (map('key1', 2, 'key2', 20)), (map('key1', 3, 'key2', 30))",
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)
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self.validate_identity(
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"SELECT (toUInt8('1') + toUInt8('2')) IS NOT NULL",
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"SELECT NOT ((toUInt8('1') + toUInt8('2')) IS NULL)",
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)
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self.validate_identity(
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"SELECT $1$foo$1$",
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"SELECT 'foo'",
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)
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self.validate_identity(
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"SELECT * FROM table LIMIT 1, 2 BY a, b",
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"SELECT * FROM table LIMIT 2 OFFSET 1 BY a, b",
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)
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self.validate_identity(
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"SELECT SUM(1) AS impressions FROM (SELECT ['Istanbul', 'Berlin', 'Bobruisk'] AS cities) WHERE arrayJoin(cities) IN ['Istanbul', 'Berlin']",
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"SELECT SUM(1) AS impressions FROM (SELECT ['Istanbul', 'Berlin', 'Bobruisk'] AS cities) WHERE arrayJoin(cities) IN ('Istanbul', 'Berlin')",
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)
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self.validate_all(
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"CHAR(67) || CHAR(65) || CHAR(84)",
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read={
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"clickhouse": "CHAR(67) || CHAR(65) || CHAR(84)",
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"oracle": "CHR(67) || CHR(65) || CHR(84)",
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},
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)
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self.validate_all(
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"SELECT lagInFrame(salary, 1, 0) OVER (ORDER BY hire_date) AS prev_sal FROM employees",
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read={
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"clickhouse": "SELECT lagInFrame(salary, 1, 0) OVER (ORDER BY hire_date) AS prev_sal FROM employees",
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"oracle": "SELECT LAG(salary, 1, 0) OVER (ORDER BY hire_date) AS prev_sal FROM employees",
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},
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)
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self.validate_all(
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"SELECT leadInFrame(salary, 1, 0) OVER (ORDER BY hire_date) AS prev_sal FROM employees",
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read={
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"clickhouse": "SELECT leadInFrame(salary, 1, 0) OVER (ORDER BY hire_date) AS prev_sal FROM employees",
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"oracle": "SELECT LEAD(salary, 1, 0) OVER (ORDER BY hire_date) AS prev_sal FROM employees",
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},
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)
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self.validate_all(
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"SELECT CAST(STR_TO_DATE('05 12 2000', '%d %m %Y') AS DATE)",
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read={
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"clickhouse": "SELECT CAST(STR_TO_DATE('05 12 2000', '%d %m %Y') AS DATE)",
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"postgres": "SELECT TO_DATE('05 12 2000', 'DD MM YYYY')",
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},
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write={
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"clickhouse": "SELECT CAST(STR_TO_DATE('05 12 2000', '%d %m %Y') AS DATE)",
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"postgres": "SELECT CAST(CAST(TO_DATE('05 12 2000', 'DD MM YYYY') AS TIMESTAMP) AS DATE)",
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},
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)
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self.validate_all(
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"SELECT * FROM x PREWHERE y = 1 WHERE z = 2",
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write={
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"": "SELECT * FROM x WHERE z = 2",
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"clickhouse": "SELECT * FROM x PREWHERE y = 1 WHERE z = 2",
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},
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)
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self.validate_all(
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"SELECT * FROM x AS prewhere",
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read={
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"clickhouse": "SELECT * FROM x AS prewhere",
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"duckdb": "SELECT * FROM x prewhere",
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},
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)
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self.validate_all(
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"SELECT a, b FROM (SELECT * FROM x) AS t",
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read={
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"clickhouse": "SELECT a, b FROM (SELECT * FROM x) AS t",
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"duckdb": "SELECT a, b FROM (SELECT * FROM x) AS t(a, b)",
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},
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)
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self.validate_all(
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"SELECT arrayJoin([1,2,3])",
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write={
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"clickhouse": "SELECT arrayJoin([1, 2, 3])",
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"postgres": "SELECT UNNEST(ARRAY[1, 2, 3])",
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},
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)
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self.validate_all(
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"has([1], x)",
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read={
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"postgres": "x = any(array[1])",
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},
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)
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self.validate_all(
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"NOT has([1], x)",
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read={
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"postgres": "any(array[1]) <> x",
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},
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)
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self.validate_all(
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"SELECT CAST('2020-01-01' AS Nullable(DateTime)) + INTERVAL '500' MICROSECOND",
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read={
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"duckdb": "SELECT TIMESTAMP '2020-01-01' + INTERVAL '500 us'",
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"postgres": "SELECT TIMESTAMP '2020-01-01' + INTERVAL '500 us'",
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},
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write={
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"clickhouse": "SELECT CAST('2020-01-01' AS Nullable(DateTime)) + INTERVAL '500' MICROSECOND",
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"duckdb": "SELECT CAST('2020-01-01' AS TIMESTAMP) + INTERVAL '500' MICROSECOND",
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"postgres": "SELECT CAST('2020-01-01' AS TIMESTAMP) + INTERVAL '500 MICROSECOND'",
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},
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)
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self.validate_all(
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"SELECT CURRENT_DATE()",
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read={
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"clickhouse": "SELECT CURRENT_DATE()",
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"postgres": "SELECT CURRENT_DATE",
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},
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)
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self.validate_all(
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"SELECT CURRENT_TIMESTAMP()",
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read={
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"clickhouse": "SELECT CURRENT_TIMESTAMP()",
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"postgres": "SELECT CURRENT_TIMESTAMP",
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},
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)
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self.validate_all(
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"SELECT match('ThOmAs', CONCAT('(?i)', 'thomas'))",
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read={
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"postgres": "SELECT 'ThOmAs' ~* 'thomas'",
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},
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)
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self.validate_all(
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"SELECT match('ThOmAs', CONCAT('(?i)', x)) FROM t",
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read={
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"postgres": "SELECT 'ThOmAs' ~* x FROM t",
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},
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)
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self.validate_all(
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"SELECT '\\0'",
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read={
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"mysql": "SELECT '\0'",
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},
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write={
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"clickhouse": "SELECT '\\0'",
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"mysql": "SELECT '\0'",
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},
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)
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self.validate_all(
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"DATE_ADD(DAY, 1, x)",
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read={
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"clickhouse": "dateAdd(DAY, 1, x)",
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"presto": "DATE_ADD('DAY', 1, x)",
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},
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write={
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"clickhouse": "DATE_ADD(DAY, 1, x)",
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"presto": "DATE_ADD('DAY', 1, x)",
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"": "DATE_ADD(x, 1, 'DAY')",
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},
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)
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self.validate_all(
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"DATE_DIFF(DAY, a, b)",
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read={
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"clickhouse": "dateDiff(DAY, a, b)",
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"presto": "DATE_DIFF('DAY', a, b)",
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},
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write={
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"clickhouse": "DATE_DIFF(DAY, a, b)",
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"presto": "DATE_DIFF('DAY', a, b)",
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"": "DATEDIFF(b, a, DAY)",
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},
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)
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self.validate_all(
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"SELECT xor(1, 0)",
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read={
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"clickhouse": "SELECT xor(1, 0)",
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"mysql": "SELECT 1 XOR 0",
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},
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write={
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"mysql": "SELECT 1 XOR 0",
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},
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)
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self.validate_all(
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"SELECT xor(0, 1, xor(1, 0, 0))",
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write={
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"clickhouse": "SELECT xor(0, 1, xor(1, 0, 0))",
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"mysql": "SELECT 0 XOR 1 XOR 1 XOR 0 XOR 0",
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},
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)
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self.validate_all(
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"SELECT xor(xor(1, 0), 1)",
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read={
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"clickhouse": "SELECT xor(xor(1, 0), 1)",
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"mysql": "SELECT 1 XOR 0 XOR 1",
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|
},
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write={
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"clickhouse": "SELECT xor(xor(1, 0), 1)",
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"mysql": "SELECT 1 XOR 0 XOR 1",
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},
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)
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|
self.validate_all(
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"CONCAT(a, b)",
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read={
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"clickhouse": "CONCAT(a, b)",
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"mysql": "CONCAT(a, b)",
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},
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write={
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"mysql": "CONCAT(a, b)",
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"postgres": "CONCAT(a, b)",
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},
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)
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self.validate_all(
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r"'Enum8(\'Sunday\' = 0)'", write={"clickhouse": "'Enum8(''Sunday'' = 0)'"}
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)
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|
self.validate_all(
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"SELECT uniq(x) FROM (SELECT any(y) AS x FROM (SELECT 1 AS y))",
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read={
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"bigquery": "SELECT APPROX_COUNT_DISTINCT(x) FROM (SELECT ANY_VALUE(y) x FROM (SELECT 1 y))",
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|
},
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|
write={
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"bigquery": "SELECT APPROX_COUNT_DISTINCT(x) FROM (SELECT ANY_VALUE(y) AS x FROM (SELECT 1 AS y))",
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},
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)
|
|
self.validate_all(
|
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"SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname ASC NULLS LAST, lname",
|
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write={
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"clickhouse": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname ASC, lname",
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|
"spark": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname ASC NULLS LAST, lname NULLS LAST",
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},
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)
|
|
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_identity(
|
|
"SELECT POSITION(needle IN haystack)", "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_all(
|
|
"SELECT quantile(0.5)(a)",
|
|
read={
|
|
"duckdb": "SELECT quantile(a, 0.5)",
|
|
"clickhouse": "SELECT median(a)",
|
|
},
|
|
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)
|
|
|
|
self.validate_identity(
|
|
"INSERT INTO FUNCTION s3('url', 'CSV', 'name String, value UInt32', 'gzip') SELECT name, value FROM existing_table"
|
|
)
|
|
self.validate_identity(
|
|
"INSERT INTO FUNCTION remote('localhost', default.simple_table) VALUES (100, 'inserted via remote()')"
|
|
)
|
|
self.validate_identity(
|
|
"""INSERT INTO TABLE FUNCTION hdfs('hdfs://hdfs1:9000/test', 'TSV', 'name String, column2 UInt32, column3 UInt32') VALUES ('test', 1, 2)""",
|
|
"""INSERT INTO FUNCTION hdfs('hdfs://hdfs1:9000/test', 'TSV', 'name String, column2 UInt32, column3 UInt32') VALUES ('test', 1, 2)""",
|
|
)
|
|
|
|
self.validate_identity("SELECT 1 FORMAT TabSeparated")
|
|
self.validate_identity("SELECT * FROM t FORMAT TabSeparated")
|
|
self.validate_identity("SELECT FORMAT")
|
|
self.validate_identity("1 AS FORMAT").assert_is(exp.Alias)
|
|
|
|
self.validate_identity("SELECT formatDateTime(NOW(), '%Y-%m-%d', '%T')")
|
|
self.validate_all(
|
|
"SELECT formatDateTime(NOW(), '%Y-%m-%d')",
|
|
read={
|
|
"clickhouse": "SELECT formatDateTime(NOW(), '%Y-%m-%d')",
|
|
"mysql": "SELECT DATE_FORMAT(NOW(), '%Y-%m-%d')",
|
|
},
|
|
write={
|
|
"clickhouse": "SELECT formatDateTime(NOW(), '%Y-%m-%d')",
|
|
"mysql": "SELECT DATE_FORMAT(NOW(), '%Y-%m-%d')",
|
|
},
|
|
)
|
|
|
|
self.validate_identity("ALTER TABLE visits DROP PARTITION 201901")
|
|
self.validate_identity("ALTER TABLE visits DROP PARTITION ALL")
|
|
self.validate_identity(
|
|
"ALTER TABLE visits DROP PARTITION tuple(toYYYYMM(toDate('2019-01-25')))"
|
|
)
|
|
self.validate_identity("ALTER TABLE visits DROP PARTITION ID '201901'")
|
|
|
|
self.validate_identity("ALTER TABLE visits REPLACE PARTITION 201901 FROM visits_tmp")
|
|
self.validate_identity("ALTER TABLE visits REPLACE PARTITION ALL FROM visits_tmp")
|
|
self.validate_identity(
|
|
"ALTER TABLE visits REPLACE PARTITION tuple(toYYYYMM(toDate('2019-01-25'))) FROM visits_tmp"
|
|
)
|
|
self.validate_identity("ALTER TABLE visits REPLACE PARTITION ID '201901' FROM visits_tmp")
|
|
self.validate_identity("ALTER TABLE visits ON CLUSTER test_cluster DROP COLUMN col1")
|
|
self.validate_identity("DELETE FROM tbl ON CLUSTER test_cluster WHERE date = '2019-01-01'")
|
|
|
|
self.assertIsInstance(
|
|
parse_one("Tuple(select Int64)", into=exp.DataType, read="clickhouse"), exp.DataType
|
|
)
|
|
|
|
self.validate_identity("INSERT INTO t (col1, col2) VALUES ('abcd', 1234)")
|
|
self.validate_all(
|
|
"INSERT INTO t (col1, col2) VALUES ('abcd', 1234)",
|
|
read={
|
|
# looks like values table function, but should be parsed as VALUES block
|
|
"clickhouse": "INSERT INTO t (col1, col2) values('abcd', 1234)"
|
|
},
|
|
write={
|
|
"clickhouse": "INSERT INTO t (col1, col2) VALUES ('abcd', 1234)",
|
|
"postgres": "INSERT INTO t (col1, col2) VALUES ('abcd', 1234)",
|
|
},
|
|
)
|
|
self.validate_identity("SELECT TRIM(TRAILING ')' FROM '( Hello, world! )')")
|
|
self.validate_identity("SELECT TRIM(LEADING '(' FROM '( Hello, world! )')")
|
|
self.validate_identity("current_timestamp").assert_is(exp.Column)
|
|
|
|
self.validate_identity("SELECT * APPLY(sum) FROM columns_transformers")
|
|
self.validate_identity("SELECT COLUMNS('[jk]') APPLY(toString) FROM columns_transformers")
|
|
self.validate_identity(
|
|
"SELECT COLUMNS('[jk]') APPLY(toString) APPLY(length) APPLY(max) FROM columns_transformers"
|
|
)
|
|
self.validate_identity("SELECT * APPLY(sum), COLUMNS('col') APPLY(sum) APPLY(avg) FROM t")
|
|
self.validate_identity(
|
|
"SELECT * FROM ABC WHERE hasAny(COLUMNS('.*field') APPLY(toUInt64) APPLY(to), (SELECT groupUniqArray(toUInt64(field))))"
|
|
)
|
|
self.validate_identity("SELECT col apply", "SELECT col AS apply")
|
|
self.validate_identity(
|
|
"SELECT name FROM data WHERE (SELECT DISTINCT name FROM data) IS NOT NULL",
|
|
"SELECT name FROM data WHERE NOT ((SELECT DISTINCT name FROM data) IS NULL)",
|
|
)
|
|
|
|
self.validate_identity("SELECT 1_2_3_4_5", "SELECT 12345")
|
|
self.validate_identity("SELECT 1_b", "SELECT 1_b")
|
|
self.validate_identity(
|
|
"SELECT COUNT(1) FROM table SETTINGS additional_table_filters = {'a': 'b', 'c': 'd'}"
|
|
)
|
|
|
|
def test_clickhouse_values(self):
|
|
values = exp.select("*").from_(
|
|
exp.values([exp.tuple_(1, 2, 3)], alias="subq", columns=["a", "b", "c"])
|
|
)
|
|
self.assertEqual(
|
|
values.sql("clickhouse"),
|
|
"SELECT * FROM (SELECT 1 AS a, 2 AS b, 3 AS c) AS subq",
|
|
)
|
|
|
|
self.validate_identity("INSERT INTO t (col1, col2) VALUES ('abcd', 1234)")
|
|
self.validate_identity(
|
|
"INSERT INTO t (col1, col2) FORMAT Values('abcd', 1234)",
|
|
"INSERT INTO t (col1, col2) VALUES ('abcd', 1234)",
|
|
)
|
|
|
|
self.validate_all(
|
|
"SELECT col FROM (SELECT 1 AS col) AS _t",
|
|
read={
|
|
"duckdb": "SELECT col FROM (VALUES (1)) AS _t(col)",
|
|
},
|
|
)
|
|
self.validate_all(
|
|
"SELECT col1, col2 FROM (SELECT 1 AS col1, 2 AS col2 UNION ALL SELECT 3, 4) AS _t",
|
|
read={
|
|
"duckdb": "SELECT col1, col2 FROM (VALUES (1, 2), (3, 4)) AS _t(col1, col2)",
|
|
},
|
|
)
|
|
|
|
def test_cte(self):
|
|
self.validate_identity("WITH 'x' AS foo SELECT foo")
|
|
self.validate_identity("WITH ['c'] AS field_names SELECT field_names")
|
|
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")
|
|
|
|
query = "WITH 1 AS var SELECT var"
|
|
for error_level in [ErrorLevel.IGNORE, ErrorLevel.RAISE, ErrorLevel.IMMEDIATE]:
|
|
self.assertEqual(
|
|
self.parse_one(query, error_level=error_level).sql(dialect=self.dialect),
|
|
query,
|
|
)
|
|
|
|
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_geom_types(self):
|
|
data_types = ["Point", "Ring", "LineString", "MultiLineString", "Polygon", "MultiPolygon"]
|
|
for data_type in data_types:
|
|
with self.subTest(f"Casting to ClickHouse {data_type}"):
|
|
self.validate_identity(f"SELECT CAST(val AS {data_type})")
|
|
|
|
def test_ddl(self):
|
|
db_table_expr = exp.Table(this=None, db=exp.to_identifier("foo"), catalog=None)
|
|
create_with_cluster = exp.Create(
|
|
this=db_table_expr,
|
|
kind="DATABASE",
|
|
properties=exp.Properties(expressions=[exp.OnCluster(this=exp.to_identifier("c"))]),
|
|
)
|
|
self.assertEqual(create_with_cluster.sql("clickhouse"), "CREATE DATABASE foo ON CLUSTER c")
|
|
|
|
# Transpiled CREATE SCHEMA may have OnCluster property set
|
|
create_with_cluster = exp.Create(
|
|
this=db_table_expr,
|
|
kind="SCHEMA",
|
|
properties=exp.Properties(expressions=[exp.OnCluster(this=exp.to_identifier("c"))]),
|
|
)
|
|
self.assertEqual(create_with_cluster.sql("clickhouse"), "CREATE DATABASE foo ON CLUSTER c")
|
|
|
|
ctas_with_comment = exp.Create(
|
|
this=exp.table_("foo"),
|
|
kind="TABLE",
|
|
expression=exp.select("*").from_("db.other_table"),
|
|
properties=exp.Properties(
|
|
expressions=[
|
|
exp.EngineProperty(this=exp.var("Memory")),
|
|
exp.SchemaCommentProperty(this=exp.Literal.string("foo")),
|
|
],
|
|
),
|
|
)
|
|
self.assertEqual(
|
|
ctas_with_comment.sql("clickhouse"),
|
|
"CREATE TABLE foo ENGINE=Memory AS (SELECT * FROM db.other_table) COMMENT 'foo'",
|
|
)
|
|
|
|
self.validate_identity("CREATE FUNCTION linear_equation AS (x, k, b) -> k * x + b")
|
|
self.validate_identity("CREATE MATERIALIZED VIEW a.b TO a.c (c Int32) AS SELECT * FROM a.d")
|
|
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_identity("CREATE TABLE named_tuples (a Tuple(select String, i Int64))")
|
|
self.validate_identity("""CREATE TABLE t (a String) EMPTY AS SELECT * FROM dummy""")
|
|
self.validate_identity(
|
|
"CREATE TABLE t1 (a String EPHEMERAL, b String EPHEMERAL func(), c String MATERIALIZED func(), d String ALIAS func()) ENGINE=TinyLog()"
|
|
)
|
|
self.validate_identity(
|
|
"CREATE TABLE t (a String, b String, c UInt64, PROJECTION p1 (SELECT a, sum(c) GROUP BY a, b), PROJECTION p2 (SELECT b, sum(c) GROUP BY b)) ENGINE=MergeTree()"
|
|
)
|
|
self.validate_identity(
|
|
"""CREATE TABLE xyz (ts DateTime, data String) ENGINE=MergeTree() ORDER BY ts SETTINGS index_granularity = 8192 COMMENT '{"key": "value"}'"""
|
|
)
|
|
self.validate_identity(
|
|
"INSERT INTO FUNCTION s3('a', 'b', 'c', 'd', 'e') PARTITION BY CONCAT(s1, s2, s3, s4) SETTINGS set1 = 1, set2 = '2' SELECT * FROM some_table SETTINGS foo = 3"
|
|
)
|
|
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_identity(
|
|
"CREATE FUNCTION parity_str AS (n) -> IF(n % 2, 'odd', 'even')",
|
|
"CREATE FUNCTION parity_str AS n -> CASE WHEN n % 2 THEN 'odd' ELSE 'even' END",
|
|
)
|
|
self.validate_identity(
|
|
"CREATE TABLE a ENGINE=Memory AS SELECT 1 AS c COMMENT 'foo'",
|
|
"CREATE TABLE a ENGINE=Memory AS (SELECT 1 AS c) COMMENT 'foo'",
|
|
)
|
|
self.validate_identity(
|
|
'CREATE TABLE t1 ("x" UInt32, "y" Dynamic, "z" Dynamic(max_types = 10)) ENGINE=MergeTree ORDER BY x'
|
|
)
|
|
|
|
self.validate_all(
|
|
"CREATE DATABASE x",
|
|
read={
|
|
"duckdb": "CREATE SCHEMA x",
|
|
},
|
|
write={
|
|
"clickhouse": "CREATE DATABASE x",
|
|
"duckdb": "CREATE SCHEMA x",
|
|
},
|
|
)
|
|
self.validate_all(
|
|
"DROP DATABASE x",
|
|
read={
|
|
"duckdb": "DROP SCHEMA x",
|
|
},
|
|
write={
|
|
"clickhouse": "DROP DATABASE x",
|
|
"duckdb": "DROP SCHEMA x",
|
|
},
|
|
)
|
|
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_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,
|
|
)
|
|
|
|
self.assertIsNotNone(
|
|
self.validate_identity("CREATE TABLE t1 (a String MATERIALIZED func())").find(
|
|
exp.ColumnConstraint
|
|
)
|
|
)
|
|
|
|
def test_agg_functions(self):
|
|
def extract_agg_func(query):
|
|
return parse_one(query, read="clickhouse").selects[0].this
|
|
|
|
self.assertIsInstance(
|
|
extract_agg_func("select quantileGK(100, 0.95) OVER (PARTITION BY id) FROM table"),
|
|
exp.AnonymousAggFunc,
|
|
)
|
|
self.assertIsInstance(
|
|
extract_agg_func(
|
|
"select quantileGK(100, 0.95)(reading) OVER (PARTITION BY id) FROM table"
|
|
),
|
|
exp.ParameterizedAgg,
|
|
)
|
|
self.assertIsInstance(
|
|
extract_agg_func("select quantileGKIf(100, 0.95) OVER (PARTITION BY id) FROM table"),
|
|
exp.CombinedAggFunc,
|
|
)
|
|
self.assertIsInstance(
|
|
extract_agg_func(
|
|
"select quantileGKIf(100, 0.95)(reading) OVER (PARTITION BY id) FROM table"
|
|
),
|
|
exp.CombinedParameterizedAgg,
|
|
)
|
|
|
|
parse_one("foobar(x)").assert_is(exp.Anonymous)
|
|
|
|
def test_drop_on_cluster(self):
|
|
for creatable in ("DATABASE", "TABLE", "VIEW", "DICTIONARY", "FUNCTION"):
|
|
with self.subTest(f"Test DROP {creatable} ON CLUSTER"):
|
|
self.validate_identity(f"DROP {creatable} test ON CLUSTER test_cluster")
|
|
|
|
def test_datetime_funcs(self):
|
|
# Each datetime func has an alias that is roundtripped to the original name e.g. (DATE_SUB, DATESUB) -> DATE_SUB
|
|
datetime_funcs = (("DATE_SUB", "DATESUB"), ("DATE_ADD", "DATEADD"))
|
|
|
|
# 2-arg functions of type <func>(date, unit)
|
|
for func in (*datetime_funcs, ("TIMESTAMP_ADD", "TIMESTAMPADD")):
|
|
func_name = func[0]
|
|
for func_alias in func:
|
|
self.validate_identity(
|
|
f"""SELECT {func_alias}(date, INTERVAL '3' YEAR)""",
|
|
f"""SELECT {func_name}(date, INTERVAL '3' YEAR)""",
|
|
)
|
|
|
|
# 3-arg functions of type <func>(unit, value, date)
|
|
for func in (*datetime_funcs, ("DATE_DIFF", "DATEDIFF"), ("TIMESTAMP_SUB", "TIMESTAMPSUB")):
|
|
func_name = func[0]
|
|
for func_alias in func:
|
|
with self.subTest(f"Test 3-arg date-time function {func_alias}"):
|
|
self.validate_identity(
|
|
f"SELECT {func_alias}(SECOND, 1, bar)",
|
|
f"SELECT {func_name}(SECOND, 1, bar)",
|
|
)
|
|
|
|
def test_convert(self):
|
|
self.assertEqual(
|
|
convert(date(2020, 1, 1)).sql(dialect=self.dialect), "toDate('2020-01-01')"
|
|
)
|
|
|
|
# no fractional seconds
|
|
self.assertEqual(
|
|
convert(datetime(2020, 1, 1, 0, 0, 1)).sql(dialect=self.dialect),
|
|
"CAST('2020-01-01 00:00:01' AS DateTime64(6))",
|
|
)
|
|
self.assertEqual(
|
|
convert(datetime(2020, 1, 1, 0, 0, 1, tzinfo=timezone.utc)).sql(dialect=self.dialect),
|
|
"CAST('2020-01-01 00:00:01' AS DateTime64(6, 'UTC'))",
|
|
)
|
|
|
|
# with fractional seconds
|
|
self.assertEqual(
|
|
convert(datetime(2020, 1, 1, 0, 0, 1, 1)).sql(dialect=self.dialect),
|
|
"CAST('2020-01-01 00:00:01.000001' AS DateTime64(6))",
|
|
)
|
|
self.assertEqual(
|
|
convert(datetime(2020, 1, 1, 0, 0, 1, 1, tzinfo=timezone.utc)).sql(
|
|
dialect=self.dialect
|
|
),
|
|
"CAST('2020-01-01 00:00:01.000001' AS DateTime64(6, 'UTC'))",
|
|
)
|
|
|
|
def test_timestr_to_time(self):
|
|
# no fractional seconds
|
|
time_strings = [
|
|
"2020-01-01 00:00:01",
|
|
"2020-01-01 00:00:01+01:00",
|
|
" 2020-01-01 00:00:01-01:00 ",
|
|
"2020-01-01T00:00:01+01:00",
|
|
]
|
|
for time_string in time_strings:
|
|
with self.subTest(f"'{time_string}'"):
|
|
self.assertEqual(
|
|
exp.TimeStrToTime(this=exp.Literal.string(time_string)).sql(
|
|
dialect=self.dialect
|
|
),
|
|
f"CAST('{time_string}' AS DateTime64(6))",
|
|
)
|
|
|
|
time_strings_no_utc = ["2020-01-01 00:00:01" for i in range(4)]
|
|
for utc, no_utc in zip(time_strings, time_strings_no_utc):
|
|
with self.subTest(f"'{time_string}' with UTC timezone"):
|
|
self.assertEqual(
|
|
exp.TimeStrToTime(
|
|
this=exp.Literal.string(utc), zone=exp.Literal.string("UTC")
|
|
).sql(dialect=self.dialect),
|
|
f"CAST('{no_utc}' AS DateTime64(6, 'UTC'))",
|
|
)
|
|
|
|
# with fractional seconds
|
|
time_strings = [
|
|
"2020-01-01 00:00:01.001",
|
|
"2020-01-01 00:00:01.000001",
|
|
"2020-01-01 00:00:01.001+00:00",
|
|
"2020-01-01 00:00:01.000001-00:00",
|
|
"2020-01-01 00:00:01.0001",
|
|
"2020-01-01 00:00:01.1+00:00",
|
|
]
|
|
|
|
for time_string in time_strings:
|
|
with self.subTest(f"'{time_string}'"):
|
|
self.assertEqual(
|
|
exp.TimeStrToTime(this=exp.Literal.string(time_string[0])).sql(
|
|
dialect=self.dialect
|
|
),
|
|
f"CAST('{time_string[0]}' AS DateTime64(6))",
|
|
)
|
|
|
|
time_strings_no_utc = [
|
|
"2020-01-01 00:00:01.001000",
|
|
"2020-01-01 00:00:01.000001",
|
|
"2020-01-01 00:00:01.001000",
|
|
"2020-01-01 00:00:01.000001",
|
|
"2020-01-01 00:00:01.000100",
|
|
"2020-01-01 00:00:01.100000",
|
|
]
|
|
|
|
for utc, no_utc in zip(time_strings, time_strings_no_utc):
|
|
with self.subTest(f"'{time_string}' with UTC timezone"):
|
|
self.assertEqual(
|
|
exp.TimeStrToTime(
|
|
this=exp.Literal.string(utc), zone=exp.Literal.string("UTC")
|
|
).sql(dialect=self.dialect),
|
|
f"CAST('{no_utc}' AS DateTime64(6, 'UTC'))",
|
|
)
|
|
|
|
def test_grant(self):
|
|
self.validate_identity("GRANT SELECT(x, y) ON db.table TO john WITH GRANT OPTION")
|
|
self.validate_identity("GRANT INSERT(x, y) ON db.table TO john")
|
|
|
|
def test_array_join(self):
|
|
expr = self.validate_identity(
|
|
"SELECT * FROM arrays_test ARRAY JOIN arr1, arrays_test.arr2 AS foo, ['a', 'b', 'c'] AS elem"
|
|
)
|
|
joins = expr.args["joins"]
|
|
self.assertEqual(len(joins), 1)
|
|
|
|
join = joins[0]
|
|
self.assertEqual(join.kind, "ARRAY")
|
|
self.assertIsInstance(join.this, exp.Column)
|
|
|
|
self.assertEqual(len(join.expressions), 2)
|
|
self.assertIsInstance(join.expressions[0], exp.Alias)
|
|
self.assertIsInstance(join.expressions[0].this, exp.Column)
|
|
|
|
self.assertIsInstance(join.expressions[1], exp.Alias)
|
|
self.assertIsInstance(join.expressions[1].this, exp.Array)
|
|
|
|
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_identity(
|
|
"SELECT * FROM arrays_test ARRAY JOIN [1, 2, 3] AS arr_external1, ['a', 'b', 'c'] AS arr_external2, splitByString(',', 'asd,qwerty,zxc') AS arr_external3"
|
|
)
|
|
|
|
def test_traverse_scope(self):
|
|
sql = "SELECT * FROM t FINAL"
|
|
scopes = traverse_scope(parse_one(sql, dialect=self.dialect))
|
|
self.assertEqual(len(scopes), 1)
|
|
self.assertEqual(set(scopes[0].sources), {"t"})
|
|
|
|
def test_window_functions(self):
|
|
self.validate_identity(
|
|
"SELECT row_number(column1) OVER (PARTITION BY column2 ORDER BY column3) FROM table"
|
|
)
|
|
self.validate_identity(
|
|
"SELECT row_number() OVER (PARTITION BY column2 ORDER BY column3) FROM table"
|
|
)
|
|
|
|
def test_functions(self):
|
|
self.validate_identity("SELECT TRANSFORM(foo, [1, 2], ['first', 'second']) FROM table")
|
|
self.validate_identity(
|
|
"SELECT TRANSFORM(foo, [1, 2], ['first', 'second'], 'default') FROM table"
|
|
)
|