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Adding upstream version 7.1.3.

Signed-off-by: Daniel Baumann <daniel@debian.org>
This commit is contained in:
Daniel Baumann 2025-02-13 14:46:14 +01:00
parent 291e0c125c
commit 768d386bf5
Signed by: daniel
GPG key ID: FBB4F0E80A80222F
42 changed files with 1430 additions and 253 deletions

View file

@ -164,7 +164,7 @@ class TestBigQuery(Validator):
"CREATE TABLE db.example_table (col_a struct<struct_col_a:int, struct_col_b:string>)",
write={
"bigquery": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a INT64, struct_col_b STRING>)",
"duckdb": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a INT, struct_col_b TEXT>)",
"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>)",
@ -174,6 +174,7 @@ class TestBigQuery(Validator):
"CREATE TABLE db.example_table (col_a STRUCT<struct_col_a INT64, 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 BIGINT, struct_col_b STRUCT(nested_col_a TEXT, nested_col_b TEXT)))",
"presto": "CREATE TABLE db.example_table (col_a ROW(struct_col_a BIGINT, struct_col_b ROW(nested_col_a VARCHAR, nested_col_b VARCHAR)))",
"hive": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a BIGINT, struct_col_b STRUCT<nested_col_a STRING, nested_col_b STRING>>)",
"spark": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a: LONG, struct_col_b: STRUCT<nested_col_a: STRING, nested_col_b: STRING>>)",

View file

@ -1056,6 +1056,7 @@ class TestDialect(Validator):
self.validate_all(
"CREATE TABLE t (c CHAR, nc NCHAR, v1 VARCHAR, v2 VARCHAR2, nv NVARCHAR, nv2 NVARCHAR2)",
write={
"duckdb": "CREATE TABLE t (c CHAR, nc CHAR, v1 TEXT, v2 TEXT, nv TEXT, nv2 TEXT)",
"hive": "CREATE TABLE t (c CHAR, nc CHAR, v1 STRING, v2 STRING, nv STRING, nv2 STRING)",
"oracle": "CREATE TABLE t (c CHAR, nc CHAR, v1 VARCHAR2, v2 VARCHAR2, nv NVARCHAR2, nv2 NVARCHAR2)",
"postgres": "CREATE TABLE t (c CHAR, nc CHAR, v1 VARCHAR, v2 VARCHAR, nv VARCHAR, nv2 VARCHAR)",
@ -1096,6 +1097,7 @@ class TestDialect(Validator):
self.validate_all(
"CREATE TABLE t (b1 BINARY, b2 BINARY(1024), c1 TEXT, c2 TEXT(1024))",
write={
"duckdb": "CREATE TABLE t (b1 BINARY, b2 BINARY(1024), c1 TEXT, c2 TEXT(1024))",
"hive": "CREATE TABLE t (b1 BINARY, b2 BINARY(1024), c1 STRING, c2 STRING(1024))",
"oracle": "CREATE TABLE t (b1 BLOB, b2 BLOB(1024), c1 CLOB, c2 CLOB(1024))",
"postgres": "CREATE TABLE t (b1 BYTEA, b2 BYTEA(1024), c1 TEXT, c2 TEXT(1024))",

View file

@ -65,6 +65,23 @@ class TestDuckDB(Validator):
)
def test_duckdb(self):
self.validate_all(
"CREATE TABLE IF NOT EXISTS table (cola INT, colb STRING) USING ICEBERG PARTITIONED BY (colb)",
write={
"duckdb": "CREATE TABLE IF NOT EXISTS table (cola INT, colb TEXT)",
},
)
self.validate_all(
"COL::BIGINT[]",
write={
"duckdb": "CAST(COL AS BIGINT[])",
"presto": "CAST(COL AS ARRAY(BIGINT))",
"hive": "CAST(COL AS ARRAY<BIGINT>)",
"spark": "CAST(COL AS ARRAY<LONG>)",
},
)
self.validate_all(
"LIST_VALUE(0, 1, 2)",
read={

View file

@ -126,22 +126,24 @@ class TestHive(Validator):
)
def test_ddl(self):
self.validate_all(
"CREATE TABLE test STORED AS parquet TBLPROPERTIES ('x'='1', 'Z'='2') AS SELECT 1",
write={
"presto": "CREATE TABLE test WITH (FORMAT='parquet', x='1', Z='2') AS SELECT 1",
"hive": "CREATE TABLE test STORED AS PARQUET TBLPROPERTIES ('x'='1', 'Z'='2') AS SELECT 1",
"spark": "CREATE TABLE test USING PARQUET TBLPROPERTIES ('x'='1', 'Z'='2') AS SELECT 1",
},
)
self.validate_all(
"CREATE TABLE x (w STRING) PARTITIONED BY (y INT, z INT)",
write={
"duckdb": "CREATE TABLE x (w TEXT)", # Partition columns should exist in table
"presto": "CREATE TABLE x (w VARCHAR, y INTEGER, z INTEGER) WITH (PARTITIONED_BY=ARRAY['y', 'z'])",
"hive": "CREATE TABLE x (w STRING) PARTITIONED BY (y INT, z INT)",
"spark": "CREATE TABLE x (w STRING) PARTITIONED BY (y INT, z INT)",
},
)
self.validate_all(
"CREATE TABLE test STORED AS parquet TBLPROPERTIES ('x'='1', 'Z'='2') AS SELECT 1",
write={
"duckdb": "CREATE TABLE test AS SELECT 1",
"presto": "CREATE TABLE test WITH (FORMAT='parquet', x='1', Z='2') AS SELECT 1",
"hive": "CREATE TABLE test STORED AS PARQUET TBLPROPERTIES ('x'='1', 'Z'='2') AS SELECT 1",
"spark": "CREATE TABLE test USING PARQUET TBLPROPERTIES ('x'='1', 'Z'='2') AS SELECT 1",
},
)
def test_lateral_view(self):
self.validate_all(

View file

@ -8,6 +8,7 @@ class TestMySQL(Validator):
self.validate_all(
"CREATE TABLE z (a INT) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARACTER SET=utf8 COLLATE=utf8_bin COMMENT='x'",
write={
"duckdb": "CREATE TABLE z (a INT)",
"mysql": "CREATE TABLE z (a INT) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARACTER SET=utf8 COLLATE=utf8_bin COMMENT='x'",
"spark": "CREATE TABLE z (a INT) COMMENT 'x'",
},

View file

@ -68,10 +68,12 @@ class TestPostgres(Validator):
self.validate_identity("SELECT TRIM(' X' FROM ' XXX ')")
self.validate_identity("SELECT TRIM(LEADING 'bla' FROM ' XXX ' COLLATE utf8_bin)")
self.validate_identity("SELECT TO_TIMESTAMP(1284352323.5), TO_TIMESTAMP('05 Dec 2000', 'DD Mon YYYY')")
self.validate_identity("COMMENT ON TABLE mytable IS 'this'")
self.validate_all(
"CREATE TABLE x (a UUID, b BYTEA)",
write={
"duckdb": "CREATE TABLE x (a UUID, b BINARY)",
"presto": "CREATE TABLE x (a UUID, b VARBINARY)",
"hive": "CREATE TABLE x (a UUID, b BINARY)",
"spark": "CREATE TABLE x (a UUID, b BINARY)",
@ -163,3 +165,42 @@ class TestPostgres(Validator):
"postgres": "SELECT p1.id, p2.id, v1, v2 FROM polygons p1, polygons p2, LATERAL VERTICES(p1.poly) v1, LATERAL VERTICES(p2.poly) v2 WHERE (v1 <-> v2) < 10 AND p1.id != p2.id",
},
)
self.validate_all(
"SELECT id, email, CAST(deleted AS TEXT) FROM users WHERE NOT deleted IS NULL",
read={"postgres": "SELECT id, email, CAST(deleted AS TEXT) FROM users WHERE deleted NOTNULL"},
)
self.validate_all(
"SELECT id, email, CAST(deleted AS TEXT) FROM users WHERE NOT deleted IS NULL",
read={"postgres": "SELECT id, email, CAST(deleted AS TEXT) FROM users WHERE NOT deleted ISNULL"},
)
self.validate_all(
"'[1,2,3]'::json->2",
write={"postgres": "CAST('[1,2,3]' AS JSON)->'2'"},
)
self.validate_all(
"""'{"a":1,"b":2}'::json->'b'""",
write={"postgres": """CAST('{"a":1,"b":2}' AS JSON)->'b'"""},
)
self.validate_all(
"""'{"x": {"y": 1}}'::json->'x'->'y'""", write={"postgres": """CAST('{"x": {"y": 1}}' AS JSON)->'x'->'y'"""}
)
self.validate_all(
"""'{"x": {"y": 1}}'::json->'x'::json->'y'""",
write={"postgres": """CAST(CAST('{"x": {"y": 1}}' AS JSON)->'x' AS JSON)->'y'"""},
)
self.validate_all(
"""'[1,2,3]'::json->>2""",
write={"postgres": "CAST('[1,2,3]' AS JSON)->>'2'"},
)
self.validate_all(
"""'{"a":1,"b":2}'::json->>'b'""",
write={"postgres": """CAST('{"a":1,"b":2}' AS JSON)->>'b'"""},
)
self.validate_all(
"""'{"a":[1,2,3],"b":[4,5,6]}'::json#>'{a,2}'""",
write={"postgres": """CAST('{"a":[1,2,3],"b":[4,5,6]}' AS JSON)#>'{a,2}'"""},
)
self.validate_all(
"""'{"a":[1,2,3],"b":[4,5,6]}'::json#>>'{a,2}'""",
write={"postgres": """CAST('{"a":[1,2,3],"b":[4,5,6]}' AS JSON)#>>'{a,2}'"""},
)

View file

@ -10,7 +10,7 @@ class TestPresto(Validator):
"CAST(a AS ARRAY(INT))",
write={
"bigquery": "CAST(a AS ARRAY<INT64>)",
"duckdb": "CAST(a AS ARRAY<INT>)",
"duckdb": "CAST(a AS INT[])",
"presto": "CAST(a AS ARRAY(INTEGER))",
"spark": "CAST(a AS ARRAY<INT>)",
},
@ -28,7 +28,7 @@ class TestPresto(Validator):
"CAST(ARRAY[1, 2] AS ARRAY(BIGINT))",
write={
"bigquery": "CAST([1, 2] AS ARRAY<INT64>)",
"duckdb": "CAST(LIST_VALUE(1, 2) AS ARRAY<BIGINT>)",
"duckdb": "CAST(LIST_VALUE(1, 2) AS BIGINT[])",
"presto": "CAST(ARRAY[1, 2] AS ARRAY(BIGINT))",
"spark": "CAST(ARRAY(1, 2) AS ARRAY<LONG>)",
},
@ -37,7 +37,7 @@ class TestPresto(Validator):
"CAST(MAP(ARRAY[1], ARRAY[1]) AS MAP(INT,INT))",
write={
"bigquery": "CAST(MAP([1], [1]) AS MAP<INT64, INT64>)",
"duckdb": "CAST(MAP(LIST_VALUE(1), LIST_VALUE(1)) AS MAP<INT, INT>)",
"duckdb": "CAST(MAP(LIST_VALUE(1), LIST_VALUE(1)) AS MAP(INT, INT))",
"presto": "CAST(MAP(ARRAY[1], ARRAY[1]) AS MAP(INTEGER, INTEGER))",
"hive": "CAST(MAP(1, 1) AS MAP<INT, INT>)",
"spark": "CAST(MAP_FROM_ARRAYS(ARRAY(1), ARRAY(1)) AS MAP<INT, INT>)",
@ -47,7 +47,7 @@ class TestPresto(Validator):
"CAST(MAP(ARRAY['a','b','c'], ARRAY[ARRAY[1], ARRAY[2], ARRAY[3]]) AS MAP(VARCHAR, ARRAY(INT)))",
write={
"bigquery": "CAST(MAP(['a', 'b', 'c'], [[1], [2], [3]]) AS MAP<STRING, ARRAY<INT64>>)",
"duckdb": "CAST(MAP(LIST_VALUE('a', 'b', 'c'), LIST_VALUE(LIST_VALUE(1), LIST_VALUE(2), LIST_VALUE(3))) AS MAP<TEXT, ARRAY<INT>>)",
"duckdb": "CAST(MAP(LIST_VALUE('a', 'b', 'c'), LIST_VALUE(LIST_VALUE(1), LIST_VALUE(2), LIST_VALUE(3))) AS MAP(TEXT, INT[]))",
"presto": "CAST(MAP(ARRAY['a', 'b', 'c'], ARRAY[ARRAY[1], ARRAY[2], ARRAY[3]]) AS MAP(VARCHAR, ARRAY(INTEGER)))",
"hive": "CAST(MAP('a', ARRAY(1), 'b', ARRAY(2), 'c', ARRAY(3)) AS MAP<STRING, ARRAY<INT>>)",
"spark": "CAST(MAP_FROM_ARRAYS(ARRAY('a', 'b', 'c'), ARRAY(ARRAY(1), ARRAY(2), ARRAY(3))) AS MAP<STRING, ARRAY<INT>>)",
@ -171,6 +171,7 @@ class TestPresto(Validator):
self.validate_all(
"CREATE TABLE test WITH (FORMAT = '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",
@ -179,6 +180,7 @@ class TestPresto(Validator):
self.validate_all(
"CREATE TABLE test WITH (FORMAT = 'PARQUET', X = '1', Z = '2') AS SELECT 1",
write={
"duckdb": "CREATE TABLE test AS SELECT 1",
"presto": "CREATE TABLE test WITH (FORMAT='PARQUET', X='1', Z='2') AS SELECT 1",
"hive": "CREATE TABLE test STORED AS PARQUET TBLPROPERTIES ('X'='1', 'Z'='2') AS SELECT 1",
"spark": "CREATE TABLE test USING PARQUET TBLPROPERTIES ('X'='1', 'Z'='2') AS SELECT 1",
@ -187,6 +189,7 @@ class TestPresto(Validator):
self.validate_all(
"CREATE TABLE x (w VARCHAR, y INTEGER, z INTEGER) WITH (PARTITIONED_BY=ARRAY['y', 'z'])",
write={
"duckdb": "CREATE TABLE x (w TEXT, y INT, z INT)",
"presto": "CREATE TABLE x (w VARCHAR, y INTEGER, z INTEGER) WITH (PARTITIONED_BY=ARRAY['y', 'z'])",
"hive": "CREATE TABLE x (w STRING) PARTITIONED BY (y INT, z INT)",
"spark": "CREATE TABLE x (w STRING) PARTITIONED BY (y INT, z INT)",
@ -195,6 +198,7 @@ class TestPresto(Validator):
self.validate_all(
"CREATE TABLE x WITH (bucket_by = ARRAY['y'], bucket_count = 64) AS SELECT 1 AS y",
write={
"duckdb": "CREATE TABLE x AS SELECT 1 AS y",
"presto": "CREATE TABLE x WITH (bucket_by=ARRAY['y'], bucket_count=64) AS SELECT 1 AS y",
"hive": "CREATE TABLE x TBLPROPERTIES ('bucket_by'=ARRAY('y'), 'bucket_count'=64) AS SELECT 1 AS y",
"spark": "CREATE TABLE x TBLPROPERTIES ('bucket_by'=ARRAY('y'), 'bucket_count'=64) AS SELECT 1 AS y",
@ -203,6 +207,7 @@ class TestPresto(Validator):
self.validate_all(
"CREATE TABLE db.example_table (col_a ROW(struct_col_a INTEGER, struct_col_b VARCHAR))",
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>)",
@ -211,6 +216,7 @@ class TestPresto(Validator):
self.validate_all(
"CREATE TABLE db.example_table (col_a ROW(struct_col_a INTEGER, struct_col_b ROW(nested_col_a VARCHAR, nested_col_b VARCHAR)))",
write={
"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>>)",

View file

@ -8,6 +8,7 @@ class TestSpark(Validator):
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>)",
@ -17,6 +18,7 @@ class TestSpark(Validator):
"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>>)",
@ -26,6 +28,7 @@ class TestSpark(Validator):
"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>>)",
@ -34,6 +37,7 @@ class TestSpark(Validator):
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 (TABLE_FORMAT = 'ICEBERG', PARTITIONED_BY=ARRAY['MONTHS'])",
"hive": "CREATE TABLE x USING ICEBERG PARTITIONED BY (MONTHS(y)) LOCATION 's3://z'",
"spark": "CREATE TABLE x USING ICEBERG PARTITIONED BY (MONTHS(y)) LOCATION 's3://z'",
@ -42,6 +46,7 @@ class TestSpark(Validator):
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",
@ -50,6 +55,9 @@ class TestSpark(Validator):
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

View file

@ -6,6 +6,9 @@ class TestTSQL(Validator):
def test_tsql(self):
self.validate_identity('SELECT "x"."y" FROM foo')
self.validate_identity(
"SELECT DISTINCT DepartmentName, PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY BaseRate) OVER (PARTITION BY DepartmentName) AS MedianCont FROM dbo.DimEmployee"
)
self.validate_all(
"SELECT CAST([a].[b] AS SMALLINT) FROM foo",

View file

@ -50,7 +50,9 @@ a.B()
a['x'].C()
int.x
map.x
SELECT call.x
a.b.INT(1.234)
INT(x / 100)
x IN (-1, 1)
x IN ('a', 'a''a')
x IN ((1))
@ -147,6 +149,7 @@ SELECT 1 AS count FROM test
SELECT 1 AS comment FROM test
SELECT 1 AS numeric FROM test
SELECT 1 AS number FROM test
SELECT 1 AS number # annotation
SELECT t.count
SELECT DISTINCT x FROM test
SELECT DISTINCT x, y FROM test
@ -159,6 +162,8 @@ SELECT TIMESTAMP(DATE_TRUNC(DATE(time_field), MONTH)) AS time_value FROM "table"
SELECT GREATEST((3 + 1), LEAST(3, 4))
SELECT TRANSFORM(a, b -> b) AS x
SELECT AGGREGATE(a, (a, b) -> a + b) AS x
SELECT COUNT(DISTINCT a, b)
SELECT COUNT(DISTINCT a, b + 1)
SELECT SUM(DISTINCT x)
SELECT SUM(x IGNORE NULLS) AS x
SELECT ARRAY_AGG(DISTINCT x IGNORE NULLS ORDER BY a, b DESC LIMIT 10) AS x
@ -485,6 +490,9 @@ CREATE INDEX abc ON t (a)
CREATE INDEX abc ON t (a, b, b)
CREATE UNIQUE INDEX abc ON t (a, b, b)
CREATE UNIQUE INDEX IF NOT EXISTS my_idx ON tbl (a, b)
CREATE SCHEMA x
CREATE SCHEMA IF NOT EXISTS y
DESCRIBE x
DROP INDEX a.b.c
CACHE TABLE x
CACHE LAZY TABLE x
@ -524,6 +532,15 @@ INSERT INTO x VALUES (1, 'a', 2.0), (1, 'a', 3.0), (X(), y[1], z.x)
INSERT INTO y (a, b, c) SELECT a, b, c FROM x
INSERT OVERWRITE TABLE x IF EXISTS SELECT * FROM y
INSERT OVERWRITE TABLE a.b IF EXISTS SELECT * FROM y
INSERT OVERWRITE DIRECTORY 'x' SELECT 1
INSERT OVERWRITE LOCAL DIRECTORY 'x' SELECT 1
INSERT OVERWRITE LOCAL DIRECTORY 'x' ROW FORMAT DELIMITED FIELDS TERMINATED BY '1' COLLECTION ITEMS TERMINATED BY '2' MAP KEYS TERMINATED BY '3' LINES TERMINATED BY '4' NULL DEFINED AS '5' SELECT 1
LOAD DATA INPATH 'x' INTO TABLE y PARTITION(ds='yyyy')
LOAD DATA LOCAL INPATH 'x' INTO TABLE y PARTITION(ds='yyyy')
LOAD DATA LOCAL INPATH 'x' INTO TABLE y PARTITION(ds='yyyy') INPUTFORMAT 'y'
LOAD DATA LOCAL INPATH 'x' INTO TABLE y PARTITION(ds='yyyy') INPUTFORMAT 'y' SERDE 'z'
LOAD DATA INPATH 'x' INTO TABLE y INPUTFORMAT 'y' SERDE 'z'
LOAD DATA INPATH 'x' INTO TABLE y.b INPUTFORMAT 'y' SERDE 'z'
SELECT 1 FROM PARQUET_SCAN('/x/y/*') AS y
UNCACHE TABLE x
UNCACHE TABLE IF EXISTS x

View file

@ -0,0 +1,48 @@
# title: CTE
WITH q AS (
SELECT
a
FROM x
)
SELECT
a
FROM x;
SELECT
a
FROM x;
# title: Nested CTE
SELECT
a
FROM (
WITH q AS (
SELECT
a
FROM x
)
SELECT a FROM x
);
SELECT
a
FROM (
SELECT
a
FROM x
);
# title: Chained CTE
WITH q AS (
SELECT
a
FROM x
), r AS (
SELECT
a
FROM q
)
SELECT
a
FROM x;
SELECT
a
FROM x;

View file

@ -0,0 +1,317 @@
# title: Remove left join on distinct derived table
SELECT
x.a
FROM x
LEFT JOIN (
SELECT DISTINCT
y.b
FROM y
) AS y
ON x.b = y.b;
SELECT
x.a
FROM x;
# title: Remove left join on grouped derived table
SELECT
x.a
FROM x
LEFT JOIN (
SELECT
y.b,
SUM(y.c)
FROM y
GROUP BY y.b
) AS y
ON x.b = y.b;
SELECT
x.a
FROM x;
# title: Remove left join on aggregate derived table
SELECT
x.a
FROM x
LEFT JOIN (
SELECT
SUM(y.b) AS b
FROM y
) AS y
ON x.b = y.b;
SELECT
x.a
FROM x;
# title: Noop - not all distinct columns in condition
SELECT
x.a
FROM x
LEFT JOIN (
SELECT DISTINCT
y.b,
y.c
FROM y
) AS y
ON x.b = y.b;
SELECT
x.a
FROM x
LEFT JOIN (
SELECT DISTINCT
y.b,
y.c
FROM y
) AS y
ON x.b = y.b;
# title: Noop - not all grouped columns in condition
SELECT
x.a
FROM x
LEFT JOIN (
SELECT
y.b,
y.c
FROM y
GROUP BY
y.b,
y.c
) AS y
ON x.b = y.b;
SELECT
x.a
FROM x
LEFT JOIN (
SELECT
y.b,
y.c
FROM y
GROUP BY
y.b,
y.c
) AS y
ON x.b = y.b;
# title: Noop - not left join
SELECT
x.a
FROM x
JOIN (
SELECT DISTINCT
y.b
FROM y
) AS y
ON x.b = y.b;
SELECT
x.a
FROM x
JOIN (
SELECT DISTINCT
y.b
FROM y
) AS y
ON x.b = y.b;
# title: Noop - unqualified columns
SELECT
a
FROM x
LEFT JOIN (
SELECT DISTINCT
y.b
FROM y
) AS y
ON x.b = y.b;
SELECT
a
FROM x
LEFT JOIN (
SELECT DISTINCT
y.b
FROM y
) AS y
ON x.b = y.b;
# title: Noop - cross join
SELECT
a
FROM x
CROSS JOIN (
SELECT DISTINCT
y.b
FROM y
) AS y;
SELECT
a
FROM x
CROSS JOIN (
SELECT DISTINCT
y.b
FROM y
) AS y;
# title: Noop - column is used
SELECT
x.a,
y.b
FROM x
LEFT JOIN (
SELECT DISTINCT
y.b
FROM y
) AS y
ON x.b = y.b;
SELECT
x.a,
y.b
FROM x
LEFT JOIN (
SELECT DISTINCT
y.b
FROM y
) AS y
ON x.b = y.b;
# title: Multiple group by columns
SELECT
x.a
FROM x
LEFT JOIN (
SELECT
y.b AS b,
y.c + 1 AS d,
COUNT(1)
FROM y
GROUP BY y.b, y.c + 1
) AS y
ON x.b = y.b
AND 1 = y.d;
SELECT
x.a
FROM x;
# title: Chained left joins
SELECT
x.a
FROM x
LEFT JOIN (
SELECT
y.b AS b
FROM y
GROUP BY y.b
) AS y
ON x.b = y.b
LEFT JOIN (
SELECT
y.b AS c
FROM y
GROUP BY y.b
) AS z
ON y.b = z.c;
SELECT
x.a
FROM x;
# title: CTE
WITH z AS (
SELECT DISTINCT
y.b
FROM y
)
SELECT
x.a
FROM x
LEFT JOIN z
ON x.b = z.b;
WITH z AS (
SELECT DISTINCT
y.b
FROM y
)
SELECT
x.a
FROM x;
# title: Noop - Not all grouped expressions are in outputs
SELECT
x.a
FROM x
LEFT JOIN (
SELECT
y.b
FROM y
GROUP BY
y.b,
y.c
) AS y
ON x.b = y.b;
SELECT
x.a
FROM x
LEFT JOIN (
SELECT
y.b
FROM y
GROUP BY
y.b,
y.c
) AS y
ON x.b = y.b;
# title: Cross join on aggregate derived table
SELECT
x.a
FROM x
CROSS JOIN (
SELECT
SUM(y.b) AS b
FROM y
) AS y;
SELECT
x.a
FROM x;
# title: Cross join on derived table with LIMIT 1
SELECT
x.a
FROM x
CROSS JOIN (
SELECT
y.b AS b
FROM y
LIMIT 1
) AS y;
SELECT
x.a
FROM x;
# title: Cross join on derived table with no FROM clause
SELECT
x.a
FROM x
CROSS JOIN (
SELECT
1 AS b,
2 AS c
) AS y;
SELECT
x.a
FROM x;
# title: Noop - cross join on non-aggregate subquery
SELECT
x.a
FROM x
CROSS JOIN (
SELECT
y.b
FROM y
) AS y;
SELECT
x.a
FROM x
CROSS JOIN (
SELECT
y.b
FROM y
) AS y;

View file

@ -187,3 +187,103 @@ FROM (
) AS x
) AS x;
SELECT /*+ BROADCAST(x) */ x.a AS a, x.c AS c FROM (SELECT x.a AS a, COUNT(1) AS c FROM x AS x GROUP BY x.a) AS x;
# title: Test preventing merge of window expressions where clause
with t1 as (
SELECT
x.a,
x.b,
ROW_NUMBER() OVER (PARTITION BY x.a ORDER BY x.a) as row_num
FROM
x
)
SELECT
t1.a,
t1.b
FROM
t1
WHERE
row_num = 1;
WITH t1 AS (SELECT x.a AS a, x.b AS b, ROW_NUMBER() OVER (PARTITION BY x.a ORDER BY x.a) AS row_num FROM x AS x) SELECT t1.a AS a, t1.b AS b FROM t1 WHERE t1.row_num = 1;
# title: Test preventing merge of window expressions join clause
with t1 as (
SELECT
x.a,
x.b,
ROW_NUMBER() OVER (PARTITION BY x.a ORDER BY x.a) as row_num
FROM
x
)
SELECT
t1.a,
t1.b
FROM t1 JOIN y ON t1.a = y.c AND t1.row_num = 1;
WITH t1 AS (SELECT x.a AS a, x.b AS b, ROW_NUMBER() OVER (PARTITION BY x.a ORDER BY x.a) AS row_num FROM x AS x) SELECT t1.a AS a, t1.b AS b FROM t1 JOIN y AS y ON t1.a = y.c AND t1.row_num = 1;
# title: Test preventing merge of window expressions agg function
with t1 as (
SELECT
x.a,
x.b,
ROW_NUMBER() OVER (PARTITION BY x.a ORDER BY x.a) as row_num
FROM
x
)
SELECT
SUM(t1.row_num) as total_rows
FROM
t1;
WITH t1 AS (SELECT x.a AS a, x.b AS b, ROW_NUMBER() OVER (PARTITION BY x.a ORDER BY x.a) AS row_num FROM x AS x) SELECT SUM(t1.row_num) AS total_rows FROM t1;
# title: Test prevent merging of window if in group by func
with t1 as (
SELECT
x.a,
x.b,
ROW_NUMBER() OVER (PARTITION BY x.a ORDER BY x.a) as row_num
FROM
x
)
SELECT
t1.row_num AS row_num,
SUM(t1.a) AS total
FROM
t1
GROUP BY t1.row_num
ORDER BY t1.row_num;
WITH t1 AS (SELECT x.a AS a, x.b AS b, ROW_NUMBER() OVER (PARTITION BY x.a ORDER BY x.a) AS row_num FROM x AS x) SELECT t1.row_num AS row_num, SUM(t1.a) AS total FROM t1 GROUP BY t1.row_num ORDER BY t1.row_num;
# title: Test prevent merging of window if in order by func
with t1 as (
SELECT
x.a,
x.b,
ROW_NUMBER() OVER (PARTITION BY x.a ORDER BY x.a) as row_num
FROM
x
)
SELECT
t1.row_num AS row_num,
t1.a AS a
FROM
t1
ORDER BY t1.row_num, t1.a;
WITH t1 AS (SELECT x.a AS a, x.b AS b, ROW_NUMBER() OVER (PARTITION BY x.a ORDER BY x.a) AS row_num FROM x AS x) SELECT t1.row_num AS row_num, t1.a AS a FROM t1 ORDER BY t1.row_num, t1.a;
# title: Test allow merging of window function
with t1 as (
SELECT
x.a,
x.b,
ROW_NUMBER() OVER (PARTITION BY x.a ORDER BY x.a) as row_num
FROM
x
)
SELECT
t1.a,
t1.b,
t1.row_num
FROM
t1;
SELECT x.a AS a, x.b AS b, ROW_NUMBER() OVER (PARTITION BY x.a ORDER BY x.a) AS row_num FROM x AS x;

View file

@ -105,9 +105,7 @@ LEFT JOIN "_u_0" AS "_u_0"
JOIN "y" AS "y"
ON "x"."b" = "y"."b"
WHERE
"_u_0"."_col_0" >= 0
AND "x"."a" > 1
AND NOT "_u_0"."_u_1" IS NULL
"_u_0"."_col_0" >= 0 AND "x"."a" > 1 AND NOT "_u_0"."_u_1" IS NULL
GROUP BY
"x"."a";

View file

@ -30,3 +30,6 @@ SELECT x.a AS a FROM x AS x JOIN (SELECT * FROM y AS y WHERE y.a = 1) AS y ON y.
SELECT x.a AS a FROM x AS x CROSS JOIN (SELECT * FROM y AS y) AS y WHERE x.a = 1 AND x.b = 1 AND y.a = x.a AND y.a = 1;
SELECT x.a AS a FROM x AS x JOIN (SELECT * FROM y AS y WHERE y.a = 1) AS y ON y.a = x.a AND TRUE WHERE x.a = 1 AND x.b = 1 AND TRUE AND TRUE;
with t1 as (SELECT x.a, x.b, ROW_NUMBER() OVER (PARTITION BY x.a ORDER BY x.a) as row_num FROM x) SELECT t1.a, t1.b FROM t1 WHERE row_num = 1;
WITH t1 AS (SELECT x.a, x.b, ROW_NUMBER() OVER (PARTITION BY x.a ORDER BY x.a) AS row_num FROM x) SELECT t1.a, t1.b FROM t1 WHERE row_num = 1;

View file

@ -28,13 +28,15 @@ SELECT
SUM("lineitem"."l_quantity") AS "sum_qty",
SUM("lineitem"."l_extendedprice") AS "sum_base_price",
SUM("lineitem"."l_extendedprice" * (
1 - "lineitem"."l_discount"
1 - "lineitem"."l_discount"
)) AS "sum_disc_price",
SUM("lineitem"."l_extendedprice" * (
SUM(
"lineitem"."l_extendedprice" * (
1 - "lineitem"."l_discount"
) * (
1 + "lineitem"."l_tax"
)) AS "sum_charge",
)
) AS "sum_charge",
AVG("lineitem"."l_quantity") AS "avg_qty",
AVG("lineitem"."l_extendedprice") AS "avg_price",
AVG("lineitem"."l_discount") AS "avg_disc",
@ -186,7 +188,7 @@ limit
SELECT
"lineitem"."l_orderkey" AS "l_orderkey",
SUM("lineitem"."l_extendedprice" * (
1 - "lineitem"."l_discount"
1 - "lineitem"."l_discount"
)) AS "revenue",
CAST("orders"."o_orderdate" AS TEXT) AS "o_orderdate",
"orders"."o_shippriority" AS "o_shippriority"
@ -286,7 +288,7 @@ order by
SELECT
"nation"."n_name" AS "n_name",
SUM("lineitem"."l_extendedprice" * (
1 - "lineitem"."l_discount"
1 - "lineitem"."l_discount"
)) AS "revenue"
FROM "customer" AS "customer"
JOIN "orders" AS "orders"
@ -377,15 +379,14 @@ WITH "n1" AS (
"nation"."n_name" AS "n_name"
FROM "nation" AS "nation"
WHERE
"nation"."n_name" = 'FRANCE'
OR "nation"."n_name" = 'GERMANY'
"nation"."n_name" = 'FRANCE' OR "nation"."n_name" = 'GERMANY'
)
SELECT
"n1"."n_name" AS "supp_nation",
"n2"."n_name" AS "cust_nation",
EXTRACT(year FROM "lineitem"."l_shipdate") AS "l_year",
SUM("lineitem"."l_extendedprice" * (
1 - "lineitem"."l_discount"
1 - "lineitem"."l_discount"
)) AS "revenue"
FROM "supplier" AS "supplier"
JOIN "lineitem" AS "lineitem"
@ -400,12 +401,10 @@ JOIN "n1" AS "n1"
JOIN "n1" AS "n2"
ON "customer"."c_nationkey" = "n2"."n_nationkey"
AND (
"n1"."n_name" = 'FRANCE'
OR "n2"."n_name" = 'FRANCE'
"n1"."n_name" = 'FRANCE' OR "n2"."n_name" = 'FRANCE'
)
AND (
"n1"."n_name" = 'GERMANY'
OR "n2"."n_name" = 'GERMANY'
"n1"."n_name" = 'GERMANY' OR "n2"."n_name" = 'GERMANY'
)
GROUP BY
"n1"."n_name",
@ -458,14 +457,16 @@ order by
o_year;
SELECT
EXTRACT(year FROM "orders"."o_orderdate") AS "o_year",
SUM(CASE
SUM(
CASE
WHEN "nation_2"."n_name" = 'BRAZIL'
THEN "lineitem"."l_extendedprice" * (
1 - "lineitem"."l_discount"
)
1 - "lineitem"."l_discount"
)
ELSE 0
END) / SUM("lineitem"."l_extendedprice" * (
1 - "lineitem"."l_discount"
END
) / SUM("lineitem"."l_extendedprice" * (
1 - "lineitem"."l_discount"
)) AS "mkt_share"
FROM "part" AS "part"
JOIN "region" AS "region"
@ -529,9 +530,11 @@ order by
SELECT
"nation"."n_name" AS "nation",
EXTRACT(year FROM "orders"."o_orderdate") AS "o_year",
SUM("lineitem"."l_extendedprice" * (
SUM(
"lineitem"."l_extendedprice" * (
1 - "lineitem"."l_discount"
) - "partsupp"."ps_supplycost" * "lineitem"."l_quantity") AS "sum_profit"
) - "partsupp"."ps_supplycost" * "lineitem"."l_quantity"
) AS "sum_profit"
FROM "part" AS "part"
JOIN "lineitem" AS "lineitem"
ON "part"."p_partkey" = "lineitem"."l_partkey"
@ -593,7 +596,7 @@ SELECT
"customer"."c_custkey" AS "c_custkey",
"customer"."c_name" AS "c_name",
SUM("lineitem"."l_extendedprice" * (
1 - "lineitem"."l_discount"
1 - "lineitem"."l_discount"
)) AS "revenue",
"customer"."c_acctbal" AS "c_acctbal",
"nation"."n_name" AS "n_name",
@ -606,8 +609,7 @@ JOIN "orders" AS "orders"
AND "orders"."o_orderdate" < CAST('1994-01-01' AS DATE)
AND "orders"."o_orderdate" >= CAST('1993-10-01' AS DATE)
JOIN "lineitem" AS "lineitem"
ON "lineitem"."l_orderkey" = "orders"."o_orderkey"
AND "lineitem"."l_returnflag" = 'R'
ON "lineitem"."l_orderkey" = "orders"."o_orderkey" AND "lineitem"."l_returnflag" = 'R'
JOIN "nation" AS "nation"
ON "customer"."c_nationkey" = "nation"."n_nationkey"
GROUP BY
@ -721,18 +723,20 @@ order by
l_shipmode;
SELECT
"lineitem"."l_shipmode" AS "l_shipmode",
SUM(CASE
WHEN "orders"."o_orderpriority" = '1-URGENT'
OR "orders"."o_orderpriority" = '2-HIGH'
SUM(
CASE
WHEN "orders"."o_orderpriority" = '1-URGENT' OR "orders"."o_orderpriority" = '2-HIGH'
THEN 1
ELSE 0
END) AS "high_line_count",
SUM(CASE
WHEN "orders"."o_orderpriority" <> '1-URGENT'
AND "orders"."o_orderpriority" <> '2-HIGH'
END
) AS "high_line_count",
SUM(
CASE
WHEN "orders"."o_orderpriority" <> '1-URGENT' AND "orders"."o_orderpriority" <> '2-HIGH'
THEN 1
ELSE 0
END) AS "low_line_count"
END
) AS "low_line_count"
FROM "orders" AS "orders"
JOIN "lineitem" AS "lineitem"
ON "lineitem"."l_commitdate" < "lineitem"."l_receiptdate"
@ -813,14 +817,16 @@ where
and l_shipdate >= date '1995-09-01'
and l_shipdate < date '1995-09-01' + interval '1' month;
SELECT
100.00 * SUM(CASE
100.00 * SUM(
CASE
WHEN "part"."p_type" LIKE 'PROMO%'
THEN "lineitem"."l_extendedprice" * (
1 - "lineitem"."l_discount"
)
1 - "lineitem"."l_discount"
)
ELSE 0
END) / SUM("lineitem"."l_extendedprice" * (
1 - "lineitem"."l_discount"
END
) / SUM("lineitem"."l_extendedprice" * (
1 - "lineitem"."l_discount"
)) AS "promo_revenue"
FROM "lineitem" AS "lineitem"
JOIN "part" AS "part"
@ -866,7 +872,7 @@ WITH "revenue" AS (
SELECT
"lineitem"."l_suppkey" AS "supplier_no",
SUM("lineitem"."l_extendedprice" * (
1 - "lineitem"."l_discount"
1 - "lineitem"."l_discount"
)) AS "total_revenue"
FROM "lineitem" AS "lineitem"
WHERE
@ -997,8 +1003,7 @@ JOIN "part" AS "part"
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."_u_1" = "part"."p_partkey"
WHERE
"lineitem"."l_quantity" < "_u_0"."_col_0"
AND NOT "_u_0"."_u_1" IS NULL;
"lineitem"."l_quantity" < "_u_0"."_col_0" AND NOT "_u_0"."_u_1" IS NULL;
--------------------------------------
-- TPC-H 18
@ -1114,7 +1119,7 @@ where
);
SELECT
SUM("lineitem"."l_extendedprice" * (
1 - "lineitem"."l_discount"
1 - "lineitem"."l_discount"
)) AS "revenue"
FROM "lineitem" AS "lineitem"
JOIN "part" AS "part"
@ -1233,8 +1238,7 @@ WITH "_u_0" AS (
"partsupp"."ps_suppkey" AS "ps_suppkey"
FROM "partsupp" AS "partsupp"
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."_u_1" = "partsupp"."ps_partkey"
AND "_u_0"."_u_2" = "partsupp"."ps_suppkey"
ON "_u_0"."_u_1" = "partsupp"."ps_partkey" AND "_u_0"."_u_2" = "partsupp"."ps_suppkey"
LEFT JOIN "_u_3" AS "_u_3"
ON "partsupp"."ps_partkey" = "_u_3"."p_partkey"
WHERE
@ -1252,8 +1256,7 @@ FROM "supplier" AS "supplier"
LEFT JOIN "_u_4" AS "_u_4"
ON "supplier"."s_suppkey" = "_u_4"."ps_suppkey"
JOIN "nation" AS "nation"
ON "nation"."n_name" = 'CANADA'
AND "supplier"."s_nationkey" = "nation"."n_nationkey"
ON "nation"."n_name" = 'CANADA' AND "supplier"."s_nationkey" = "nation"."n_nationkey"
WHERE
NOT "_u_4"."ps_suppkey" IS NULL
ORDER BY
@ -1332,8 +1335,7 @@ LEFT JOIN "_u_0" AS "_u_0"
LEFT JOIN "_u_2" AS "_u_2"
ON "_u_2"."l_orderkey" = "lineitem"."l_orderkey"
JOIN "orders" AS "orders"
ON "orders"."o_orderkey" = "lineitem"."l_orderkey"
AND "orders"."o_orderstatus" = 'F'
ON "orders"."o_orderkey" = "lineitem"."l_orderkey" AND "orders"."o_orderstatus" = 'F'
JOIN "nation" AS "nation"
ON "nation"."n_name" = 'SAUDI ARABIA'
AND "supplier"."s_nationkey" = "nation"."n_nationkey"

View file

@ -108,14 +108,11 @@ LEFT JOIN (
ARRAY_AGG(y.b) AS _u_13
FROM y
WHERE
TRUE
AND TRUE
AND TRUE
TRUE AND TRUE AND TRUE
GROUP BY
y.a
) AS "_u_11"
ON "_u_11"."_u_12" = x.a
AND "_u_11"."_u_12" = x.b
ON "_u_11"."_u_12" = x.a AND "_u_11"."_u_12" = x.b
LEFT JOIN (
SELECT
y.a AS a
@ -131,38 +128,30 @@ WHERE
AND NOT "_u_1"."b" IS NULL
AND NOT "_u_2"."a" IS NULL
AND (
x.a = "_u_3".b
AND NOT "_u_3"."_u_4" IS NULL
x.a = "_u_3".b AND NOT "_u_3"."_u_4" IS NULL
)
AND (
x.a > "_u_5".b
AND NOT "_u_5"."_u_6" IS NULL
x.a > "_u_5".b AND NOT "_u_5"."_u_6" IS NULL
)
AND (
None = "_u_7".a
AND NOT "_u_7".a IS NULL
None = "_u_7".a AND NOT "_u_7".a IS NULL
)
AND NOT (
x.a = "_u_8".a
AND NOT "_u_8".a IS NULL
x.a = "_u_8".a AND NOT "_u_8".a IS NULL
)
AND (
ARRAY_ANY("_u_9".a, _x -> _x = x.a)
AND NOT "_u_9"."_u_10" IS NULL
ARRAY_ANY("_u_9".a, _x -> _x = x.a) AND NOT "_u_9"."_u_10" IS NULL
)
AND (
(
(
x.a < "_u_11".a
AND NOT "_u_11"."_u_12" IS NULL
)
AND NOT "_u_11"."_u_12" IS NULL
x.a < "_u_11".a AND NOT "_u_11"."_u_12" IS NULL
) AND NOT "_u_11"."_u_12" IS NULL
)
AND ARRAY_ANY("_u_11"."_u_13", "_x" -> "_x" <> x.d)
)
AND (
NOT "_u_14".a IS NULL
AND NOT "_u_14".a IS NULL
NOT "_u_14".a IS NULL AND NOT "_u_14".a IS NULL
)
AND x.a IN (
SELECT
@ -203,4 +192,3 @@ WHERE
y.a = x.a
OFFSET 10
);

View file

@ -56,14 +56,10 @@ LEFT JOIN (
WITH cte1 AS (
SELECT
a,
z
AND e AS b
z AND e AS b
FROM cte
WHERE
x IN (1, 2, 3)
AND z < -1
OR z > 1
AND w = 'AND'
x IN (1, 2, 3) AND z < -1 OR z > 1 AND w = 'AND'
), cte2 AS (
SELECT
RANK() OVER (PARTITION BY a, b ORDER BY x DESC) AS a,
@ -77,18 +73,12 @@ WITH cte1 AS (
2
UNION ALL
SELECT
CASE x
AND 1 + 1 = 2
CASE x AND 1 + 1 = 2
WHEN TRUE
THEN 1
AND 4 + 3
AND Z
WHEN x
AND y
THEN 1 AND 4 + 3 AND Z
WHEN x AND y
THEN 2
ELSE 3
AND 4
AND g
ELSE 3 AND 4 AND g
END
UNION ALL
SELECT
@ -102,18 +92,8 @@ WITH cte1 AS (
) AS z
UNION ALL
SELECT
MAX(COALESCE(x
AND y, a
AND b
AND c, d
AND e)),
FOO(CASE
WHEN a
AND b
THEN c
AND d
ELSE 3
END)
MAX(COALESCE(x AND y, a AND b AND c, d AND e)),
FOO(CASE WHEN a AND b THEN c AND d ELSE 3 END)
GROUP BY
x
GROUPING SETS (
@ -154,10 +134,8 @@ LEFT JOIN (
FROM bar
WHERE
(
c > 1
AND d > 1
)
OR e > 1
c > 1 AND d > 1
) OR e > 1
GROUP BY
a
HAVING
@ -165,11 +143,8 @@ LEFT JOIN (
LIMIT 10
) AS z
) AS y
ON x.a = y.b
AND x.a > 1
OR (
x.c = y.d
OR x.c = y.e
ON x.a = y.b AND x.a > 1 OR (
x.c = y.d OR x.c = y.e
);
SELECT myCol1, myCol2 FROM baseTable LATERAL VIEW OUTER explode(col1) myTable1 AS myCol1 LATERAL VIEW explode(col2) myTable2 AS myCol2
@ -184,9 +159,7 @@ EXPLODE(col1) myTable1 AS myCol1
LATERAL VIEW
EXPLODE(col2) myTable2 AS myCol2
WHERE
a > 1
AND b > 2
OR c > 3;
a > 1 AND b > 2 OR c > 3;
SELECT * FROM (WITH y AS ( SELECT 1 AS z) SELECT z from y) x;
SELECT
@ -264,3 +237,53 @@ CREATE TABLE "t_customer_account" (
"account_no" VARCHAR(100)
);
SELECT
x("aaaaaaaaaaaaaa", "bbbbbbbbbbbbb", "ccccccccc", "ddddddddddddd", "eeeeeeeeeeeee", "fffffff"),
array("aaaaaaaaaaaaaa", "bbbbbbbbbbbbb", "ccccccccc", "ddddddddddddd", "eeeeeeeeeeeee", "fffffff"),
array("aaaaaaaaaaaaaa", "bbbbbbbbbbbbb", "ccccccccc", "ddddddddddddd", "eeeeeeeeeeeee", "fffffff", array("aaaaaaaaaaaaaa", "bbbbbbbbbbbbb", "ccccccccc", "ddddddddddddd", "eeeeeeeeeeeee", "fffffff")),
array(array("aaaaaaaaaaaaaa", "bbbbbbbbbbbbb", "ccccccccc", "ddddddddddddd", "eeeeeeeeeeeee", "fffffff")),
;
SELECT
X(
"aaaaaaaaaaaaaa",
"bbbbbbbbbbbbb",
"ccccccccc",
"ddddddddddddd",
"eeeeeeeeeeeee",
"fffffff"
),
ARRAY(
"aaaaaaaaaaaaaa",
"bbbbbbbbbbbbb",
"ccccccccc",
"ddddddddddddd",
"eeeeeeeeeeeee",
"fffffff"
),
ARRAY(
"aaaaaaaaaaaaaa",
"bbbbbbbbbbbbb",
"ccccccccc",
"ddddddddddddd",
"eeeeeeeeeeeee",
"fffffff",
ARRAY(
"aaaaaaaaaaaaaa",
"bbbbbbbbbbbbb",
"ccccccccc",
"ddddddddddddd",
"eeeeeeeeeeeee",
"fffffff"
)
),
ARRAY(
ARRAY(
"aaaaaaaaaaaaaa",
"bbbbbbbbbbbbb",
"ccccccccc",
"ddddddddddddd",
"eeeeeeeeeeeee",
"fffffff"
)
);

View file

@ -381,6 +381,11 @@ class TestBuild(unittest.TestCase):
lambda: alias(parse_one("LAG(x) OVER ()"), "a"),
"LAG(x) OVER () AS a",
),
(lambda: exp.values([("1", 2)]), "VALUES ('1', 2)"),
(lambda: exp.values([("1", 2)], "alias"), "(VALUES ('1', 2)) AS alias"),
(lambda: exp.values([("1", 2), ("2", 3)]), "VALUES ('1', 2), ('2', 3)"),
(lambda: exp.delete("y", where="x > 1"), "DELETE FROM y WHERE x > 1"),
(lambda: exp.delete("y", where=exp.and_("x > 1")), "DELETE FROM y WHERE x > 1"),
]:
with self.subTest(sql):
self.assertEqual(expression().sql(dialect[0] if dialect else None), sql)

View file

@ -1,3 +1,4 @@
import datetime
import unittest
from sqlglot import alias, exp, parse_one
@ -29,6 +30,7 @@ class TestExpressions(unittest.TestCase):
self.assertEqual(parse_one("TO_DATE(x)", read="hive"), parse_one("ts_or_ds_to_date(x)"))
self.assertEqual(exp.Table(pivots=[]), exp.Table())
self.assertNotEqual(exp.Table(pivots=[None]), exp.Table())
self.assertEqual(exp.DataType.build("int"), exp.DataType(this=exp.DataType.Type.INT, nested=False))
def test_find(self):
expression = parse_one("CREATE TABLE x STORED AS PARQUET AS SELECT * FROM y")
@ -486,6 +488,8 @@ class TestExpressions(unittest.TestCase):
((1, "2", None), "(1, '2', NULL)"),
([1, "2", None], "ARRAY(1, '2', NULL)"),
({"x": None}, "MAP('x', NULL)"),
(datetime.datetime(2022, 10, 1, 1, 1, 1), "TIME_STR_TO_TIME('2022-10-01 01:01:01')"),
(datetime.date(2022, 10, 1), "DATE_STR_TO_DATE('2022-10-01')"),
]:
with self.subTest(value):
self.assertEqual(exp.convert(value).sql(), expected)
@ -496,3 +500,25 @@ class TestExpressions(unittest.TestCase):
[e.alias_or_name for e in expression.expressions],
["a", "B", "c", "D"],
)
def test_to_table(self):
table_only = exp.to_table("table_name")
self.assertEqual(table_only.name, "table_name")
self.assertIsNone(table_only.args.get("db"))
self.assertIsNone(table_only.args.get("catalog"))
db_and_table = exp.to_table("db.table_name")
self.assertEqual(db_and_table.name, "table_name")
self.assertEqual(db_and_table.args.get("db"), exp.to_identifier("db"))
self.assertIsNone(db_and_table.args.get("catalog"))
catalog_db_and_table = exp.to_table("catalog.db.table_name")
self.assertEqual(catalog_db_and_table.name, "table_name")
self.assertEqual(catalog_db_and_table.args.get("db"), exp.to_identifier("db"))
self.assertEqual(catalog_db_and_table.args.get("catalog"), exp.to_identifier("catalog"))
def test_union(self):
expression = parse_one("SELECT cola, colb UNION SELECT colx, coly")
self.assertIsInstance(expression, exp.Union)
self.assertEqual(expression.named_selects, ["cola", "colb"])
self.assertEqual(
expression.selects, [exp.Column(this=exp.to_identifier("cola")), exp.Column(this=exp.to_identifier("colb"))]
)

View file

@ -191,6 +191,20 @@ class TestOptimizer(unittest.TestCase):
optimizer.optimize_joins.optimize_joins,
)
def test_eliminate_joins(self):
self.check_file(
"eliminate_joins",
optimizer.eliminate_joins.eliminate_joins,
pretty=True,
)
def test_eliminate_ctes(self):
self.check_file(
"eliminate_ctes",
optimizer.eliminate_ctes.eliminate_ctes,
pretty=True,
)
def test_merge_subqueries(self):
optimize = partial(
optimizer.optimize,