path: root/tests/fixtures/identity.sql

SUM(1)
SUM(CASE WHEN x > 1 THEN 1 ELSE 0 END) / y
1
1.0
1E2
1E+2
1E-2
1.1E10
1.12e-10
-11.023E7 * 3
0.2
(1 * 2) / (3 - 5)
((TRUE))
''
''''
'x'
'\x'
"x"
""
N'abc'
x
x % 1
x < 1
x <= 1
x > 1
x >= 1
x <> 1
x = y OR x > 1
x & 1
x | 1
x ^ 1
~x
x << 1
x >> 1
x >> 1 | 1 & 1 ^ 1
x || y
x[ : ]
x[1 : ]
x[1 : 2]
x[-4 : -1]
1 - -1
- -5
dec.x + y
a.filter
a.b.c
a.b.c.d
a.b.c.d.e
a.b.c.d.e[0]
a.b.c.d.e[0].f
a[0][0].b.c[1].d.e.f[1][1]
a[0].b[1]
a[0].b.c['d']
a.b.C()
a['x'].b.C()
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))
x BETWEEN -1 AND 1
x BETWEEN 'a' || b AND 'c' || d
NOT x IS NULL
x IS TRUE
x IS FALSE
x IS TRUE IS TRUE
x LIKE y IS TRUE
time
zone
ARRAY<TEXT>
CURRENT_DATE
CURRENT_DATE('UTC')
CURRENT_DATE AT TIME ZONE 'UTC'
CURRENT_DATE AT TIME ZONE zone_column
CURRENT_DATE AT TIME ZONE 'UTC' AT TIME ZONE 'Asia/Tokio'
ARRAY()
ARRAY(1, 2)
ARRAY_CONTAINS(x, 1)
EXTRACT(x FROM y)
EXTRACT(DATE FROM y)
EXTRACT(WEEK(monday) FROM created_at)
CONCAT_WS('-', 'a', 'b')
CONCAT_WS('-', 'a', 'b', 'c')
POSEXPLODE("x") AS ("a", "b")
POSEXPLODE("x") AS ("a", "b", "c")
STR_POSITION(x, 'a')
STR_POSITION(x, 'a', 3)
LEVENSHTEIN('gumbo', 'gambol', 2, 1, 1)
SPLIT(SPLIT(referrer, 'utm_source=')[OFFSET(1)], "&")[OFFSET(0)]
x[ORDINAL(1)][SAFE_OFFSET(2)]
x LIKE SUBSTR('abc', 1, 1)
x LIKE y
x LIKE a.y
x LIKE '%y%'
x ILIKE '%y%'
x LIKE '%y%' ESCAPE '\'
x ILIKE '%y%' ESCAPE '\'
1 AS escape
INTERVAL '1' day
INTERVAL '1' MONTH
INTERVAL '1 day'
INTERVAL 2 months
INTERVAL 1 + 3 DAYS
CAST('45' AS INTERVAL DAYS)
TIMESTAMP_DIFF(CURRENT_TIMESTAMP(), 1, DAY)
DATETIME_DIFF(CURRENT_DATE, 1, DAY)
QUANTILE(x, 0.5)
REGEXP_REPLACE('new york', '(\w)(\w*)', x -> UPPER(x[1]) || LOWER(x[2]))
REGEXP_LIKE('new york', '.')
REGEXP_SPLIT('new york', '.')
SPLIT('new york', '.')
X((y AS z)).1
(x AS y, y AS z)
REPLACE(1)
DATE(x) = DATE(y)
TIMESTAMP(DATE(x))
TIMESTAMP_TRUNC(COALESCE(time_field, CURRENT_TIMESTAMP()), DAY)
COUNT(DISTINCT CASE WHEN DATE_TRUNC(DATE(time_field), isoweek) = DATE_TRUNC(DATE(time_field2), isoweek) THEN report_id ELSE NULL END)
x[y - 1]
CASE WHEN SUM(x) > 3 THEN 1 END OVER (PARTITION BY x)
SUM(ROW() OVER (PARTITION BY x))
SUM(ROW() OVER (PARTITION BY x + 1))
SUM(ROW() OVER (PARTITION BY x AND y))
(ROW() OVER ())
CASE WHEN (x > 1) THEN 1 ELSE 0 END
CASE (1) WHEN 1 THEN 1 ELSE 0 END
CASE 1 WHEN 1 THEN 1 ELSE 0 END
x AT TIME ZONE 'UTC'
CAST('2025-11-20 00:00:00+00' AS TIMESTAMP) AT TIME ZONE 'Africa/Cairo'
SET x = 1
SET -v
COMMIT
USE db
NOT 1
NOT NOT 1
SELECT * FROM test
SELECT *, 1 FROM test
SELECT * FROM a.b
SELECT * FROM a.b.c
SELECT * FROM table
SELECT 1
SELECT 1 FROM test
SELECT * FROM a, b, (SELECT 1) AS c
SELECT a FROM test
SELECT 1 AS filter
SELECT SUM(x) AS filter
SELECT 1 AS range FROM test
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 COALESCE(offset, 1)
SELECT t.count
SELECT DISTINCT x FROM test
SELECT DISTINCT x, y FROM test
SELECT DISTINCT TIMESTAMP_TRUNC(time_field, MONTH) AS time_value FROM "table"
SELECT DISTINCT ON (x) x, y FROM z
SELECT DISTINCT ON (x, y + 1) * FROM z
SELECT DISTINCT ON (x.y) * FROM z
SELECT top.x
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
SELECT ARRAY_AGG(STRUCT(x, x AS y) ORDER BY z DESC) AS x
SELECT LAST_VALUE(x IGNORE NULLS) OVER y AS x
SELECT LAG(x) OVER (ORDER BY y) AS x
SELECT LEAD(a) OVER (ORDER BY b) AS a
SELECT LEAD(a, 1) OVER (PARTITION BY a ORDER BY a) AS x
SELECT LEAD(a, 1, b) OVER (PARTITION BY a ORDER BY a) AS x
SELECT X((a, b) -> a + b, z -> z) AS x
SELECT X(a -> a + ("z" - 1))
SELECT EXISTS(ARRAY(2, 3), x -> x % 2 = 0)
SELECT test.* FROM test
SELECT a AS b FROM test
SELECT "a"."b" FROM "a"
SELECT "a".b FROM a
SELECT a.b FROM "a"
SELECT a.b FROM a
SELECT '"hi' AS x FROM x
SELECT 1 AS "|sum" FROM x
SELECT '\"hi' AS x FROM x
SELECT 1 AS b FROM test
SELECT 1 AS "b" FROM test
SELECT 1 + 1 FROM test
SELECT 1 - 1 FROM test
SELECT 1 * 1 FROM test
SELECT 1 % 1 FROM test
SELECT 1 / 1 FROM test
SELECT 1 < 2 FROM test
SELECT 1 <= 2 FROM test
SELECT 1 > 2 FROM test
SELECT 1 >= 2 FROM test
SELECT 1 <> 2 FROM test
SELECT JSON_EXTRACT(x, '$.name')
SELECT JSON_EXTRACT_SCALAR(x, '$.name')
SELECT x LIKE '%x%' FROM test
SELECT * FROM test LIMIT 100
SELECT * FROM test LIMIT 100 OFFSET 200
SELECT * FROM test FETCH FIRST ROWS ONLY
SELECT * FROM test FETCH FIRST 1 ROWS ONLY
SELECT * FROM test FETCH NEXT 1 ROWS ONLY
SELECT (1 > 2) AS x FROM test
SELECT NOT (1 > 2) FROM test
SELECT 1 + 2 AS x FROM test
SELECT a, b, 1 < 1 FROM test
SELECT a FROM test WHERE NOT FALSE
SELECT a FROM test WHERE a = 1
SELECT a FROM test WHERE a = 1 AND b = 2
SELECT a FROM test WHERE a IN (SELECT b FROM z)
SELECT a FROM test WHERE a IN ((SELECT 1), 2)
SELECT * FROM x WHERE y IN ((SELECT 1) EXCEPT (SELECT 2))
SELECT * FROM x WHERE y IN (SELECT 1 UNION SELECT 2)
SELECT * FROM x WHERE y IN ((SELECT 1 UNION SELECT 2))
SELECT * FROM x WHERE y IN (WITH z AS (SELECT 1) SELECT * FROM z)
SELECT a FROM test WHERE (a > 1)
SELECT a FROM test WHERE a > (SELECT 1 FROM x GROUP BY y)
SELECT a FROM test WHERE EXISTS(SELECT 1)
SELECT a FROM test WHERE EXISTS(SELECT * FROM x UNION SELECT * FROM Y) OR TRUE
SELECT a FROM test WHERE TRUE OR NOT EXISTS(SELECT * FROM x)
SELECT a AS any, b AS some, c AS all, d AS exists FROM test WHERE a = ANY (SELECT 1)
SELECT a FROM test WHERE a > ALL (SELECT 1)
SELECT a FROM test WHERE (a, b) IN (SELECT 1, 2)
SELECT a FROM test ORDER BY a
SELECT a FROM test ORDER BY a, b
SELECT x FROM tests ORDER BY a DESC, b DESC, c
SELECT a FROM test ORDER BY a > 1
SELECT * FROM test ORDER BY DATE DESC, TIMESTAMP DESC
SELECT * FROM test DISTRIBUTE BY y SORT BY x DESC ORDER BY l
SELECT * FROM test CLUSTER BY y
SELECT * FROM test CLUSTER BY y
SELECT * FROM test WHERE RAND() <= 0.1 DISTRIBUTE BY RAND() SORT BY RAND()
SELECT a, b FROM test GROUP BY 1
SELECT a, b FROM test GROUP BY a
SELECT a, b FROM test WHERE a = 1 GROUP BY a HAVING a = 2
SELECT a, b FROM test WHERE a = 1 GROUP BY a HAVING a = 2 ORDER BY a
SELECT a, b FROM test WHERE a = 1 GROUP BY CASE 1 WHEN 1 THEN 1 END
SELECT a FROM test GROUP BY GROUPING SETS (())
SELECT a FROM test GROUP BY GROUPING SETS (x, ())
SELECT a FROM test GROUP BY GROUPING SETS (x, (x, y), (x, y, z), q)
SELECT a FROM test GROUP BY CUBE (x)
SELECT a FROM test GROUP BY ROLLUP (x)
SELECT a FROM test GROUP BY CUBE (x) ROLLUP (x, y, z)
SELECT CASE WHEN a < b THEN 1 WHEN a < c THEN 2 ELSE 3 END FROM test
SELECT CASE 1 WHEN 1 THEN 1 ELSE 2 END
SELECT CASE 1 WHEN 1 THEN MAP('a', 'b') ELSE MAP('b', 'c') END['a']
SELECT CASE 1 + 2 WHEN 1 THEN 1 ELSE 2 END
SELECT CASE TEST(1) + x[0] WHEN 1 THEN 1 ELSE 2 END
SELECT CASE x[0] WHEN 1 THEN 1 ELSE 2 END
SELECT CASE a.b WHEN 1 THEN 1 ELSE 2 END
SELECT CASE CASE x > 1 WHEN TRUE THEN 1 END WHEN 1 THEN 1 ELSE 2 END
SELECT a FROM (SELECT a FROM test) AS x
SELECT a FROM (SELECT a FROM (SELECT a FROM test) AS y) AS x
SELECT a FROM test WHERE a IN (1, 2, 3) OR b BETWEEN 1 AND 4
SELECT a FROM test AS x TABLESAMPLE(BUCKET 1 OUT OF 5)
SELECT a FROM test TABLESAMPLE(BUCKET 1 OUT OF 5)
SELECT a FROM test TABLESAMPLE(BUCKET 1 OUT OF 5 ON x)
SELECT a FROM test TABLESAMPLE(BUCKET 1 OUT OF 5 ON RAND())
SELECT a FROM test TABLESAMPLE(0.1 PERCENT)
SELECT a FROM test TABLESAMPLE(100)
SELECT a FROM test TABLESAMPLE(100 ROWS)
SELECT a FROM test TABLESAMPLE BERNOULLI (50)
SELECT a FROM test TABLESAMPLE SYSTEM (75)
SELECT a FROM test PIVOT(SUM(x) FOR y IN ('z', 'q'))
SELECT a FROM test PIVOT(SOMEAGG(x, y, z) FOR q IN (1))
SELECT a FROM test PIVOT(SUM(x) FOR y IN ('z', 'q')) PIVOT(MAX(b) FOR c IN ('d'))
SELECT a FROM (SELECT a, b FROM test) PIVOT(SUM(x) FOR y IN ('z', 'q'))
SELECT a FROM test UNPIVOT(x FOR y IN (z, q)) AS x
SELECT a FROM test PIVOT(SUM(x) FOR y IN ('z', 'q')) AS x TABLESAMPLE(0.1)
SELECT a FROM test PIVOT(SUM(x) FOR y IN ('z', 'q')) UNPIVOT(x FOR y IN (z, q)) AS x
SELECT ABS(a) FROM test
SELECT AVG(a) FROM test
SELECT CEIL(a) FROM test
SELECT CEIL(a, b) FROM test
SELECT COUNT(a) FROM test
SELECT COUNT(1) FROM test
SELECT COUNT(*) FROM test
SELECT COUNT() FROM test
SELECT COUNT(DISTINCT a) FROM test
SELECT EXP(a) FROM test
SELECT FLOOR(a) FROM test
SELECT FLOOR(a, b) FROM test
SELECT FIRST(a) FROM test
SELECT GREATEST(a, b, c) FROM test
SELECT LAST(a) FROM test
SELECT LN(a) FROM test
SELECT LOG10(a) FROM test
SELECT MAX(a) FROM test
SELECT MIN(a) FROM test
SELECT POWER(a, 2) FROM test
SELECT QUANTILE(a, 0.95) FROM test
SELECT ROUND(a) FROM test
SELECT ROUND(a, 2) FROM test
SELECT SUM(a) FROM test
SELECT SQRT(a) FROM test
SELECT STDDEV(a) FROM test
SELECT STDDEV_POP(a) FROM test
SELECT STDDEV_SAMP(a) FROM test
SELECT VARIANCE(a) FROM test
SELECT VARIANCE_POP(a) FROM test
SELECT CAST(a AS INT) FROM test
SELECT CAST(a AS DATETIME) FROM test
SELECT CAST(a AS VARCHAR) FROM test
SELECT CAST(a < 1 AS INT) FROM test
SELECT CAST(a IS NULL AS INT) FROM test
SELECT COUNT(CAST(1 < 2 AS INT)) FROM test
SELECT COUNT(CASE WHEN CAST(1 < 2 AS BOOLEAN) THEN 1 END) FROM test
SELECT CAST(a AS DECIMAL) FROM test
SELECT CAST(a AS DECIMAL(1)) FROM test
SELECT CAST(a AS DECIMAL(1, 2)) FROM test
SELECT CAST(a AS MAP<INT, INT>) FROM test
SELECT CAST(a AS TIMESTAMP) FROM test
SELECT CAST(a AS DATE) FROM test
SELECT CAST(a AS ARRAY<INT>) FROM test
SELECT CAST(a AS VARIANT) FROM test
SELECT TRY_CAST(a AS INT) FROM test
SELECT COALESCE(a, b, c) FROM test
SELECT IFNULL(a, b) FROM test
SELECT ANY_VALUE(a) FROM test
SELECT 1 FROM a JOIN b ON a.x = b.x
SELECT 1 FROM a JOIN b AS c ON a.x = b.x
SELECT 1 FROM a INNER JOIN b ON a.x = b.x
SELECT 1 FROM a LEFT JOIN b ON a.x = b.x
SELECT 1 FROM a RIGHT JOIN b ON a.x = b.x
SELECT 1 FROM a CROSS JOIN b ON a.x = b.x
SELECT 1 FROM a LEFT SEMI JOIN b ON a.x = b.x
SELECT 1 FROM a LEFT ANTI JOIN b ON a.x = b.x
SELECT 1 FROM a RIGHT SEMI JOIN b ON a.x = b.x
SELECT 1 FROM a RIGHT ANTI JOIN b ON a.x = b.x
SELECT 1 FROM a JOIN b USING (x)
SELECT 1 FROM a JOIN b USING (x, y, z)
SELECT 1 FROM a JOIN (SELECT a FROM c) AS b ON a.x = b.x AND a.x < 2
SELECT 1 FROM a UNION SELECT 2 FROM b
SELECT 1 FROM a UNION ALL SELECT 2 FROM b
SELECT 1 FROM a JOIN b ON a.foo = b.bar JOIN c ON a.foo = c.bar
SELECT 1 FROM a LEFT JOIN b ON a.foo = b.bar JOIN c ON a.foo = c.bar
SELECT 1 FROM a LEFT INNER JOIN b ON a.foo = b.bar
SELECT 1 FROM a LEFT OUTER JOIN b ON a.foo = b.bar
SELECT 1 FROM a NATURAL JOIN b
SELECT 1 FROM a NATURAL LEFT JOIN b
SELECT 1 FROM a NATURAL LEFT OUTER JOIN b
SELECT 1 FROM a OUTER JOIN b ON a.foo = b.bar
SELECT 1 FROM a FULL JOIN b ON a.foo = b.bar
SELECT 1 UNION ALL SELECT 2
SELECT 1 EXCEPT SELECT 2
SELECT 1 EXCEPT SELECT 2
SELECT 1 INTERSECT SELECT 2
SELECT 1 INTERSECT SELECT 2
SELECT 1 AS delete, 2 AS alter
SELECT * FROM (x)
SELECT * FROM ((x))
SELECT * FROM ((SELECT 1))
SELECT * FROM (x LATERAL VIEW EXPLODE(y) JOIN foo)
SELECT * FROM (SELECT 1) AS x
SELECT * FROM (SELECT 1 UNION SELECT 2) AS x
SELECT * FROM (SELECT 1 UNION ALL SELECT 2) AS x
SELECT * FROM (SELECT 1 UNION ALL SELECT 2)
SELECT * FROM ((SELECT 1) AS a UNION ALL (SELECT 2) AS b)
SELECT * FROM ((SELECT 1) AS a(b))
SELECT * FROM x AS y(a, b)
SELECT * EXCEPT (a, b)
SELECT * REPLACE (a AS b, b AS C)
SELECT * REPLACE (a + 1 AS b, b AS C)
SELECT * EXCEPT (a, b) REPLACE (a AS b, b AS C)
SELECT a.* EXCEPT (a, b), b.* REPLACE (a AS b, b AS C)
SELECT zoo, animals FROM (VALUES ('oakland', ARRAY('a', 'b')), ('sf', ARRAY('b', 'c'))) AS t(zoo, animals)
SELECT zoo, animals FROM UNNEST(ARRAY(STRUCT('oakland' AS zoo, ARRAY('a', 'b') AS animals), STRUCT('sf' AS zoo, ARRAY('b', 'c') AS animals))) AS t(zoo, animals)
WITH a AS (SELECT 1) SELECT 1 UNION ALL SELECT 2
WITH a AS (SELECT 1) SELECT 1 UNION SELECT 2
WITH a AS (SELECT 1) SELECT 1 INTERSECT SELECT 2
WITH a AS (SELECT 1) SELECT 1 EXCEPT SELECT 2
WITH a AS (SELECT 1) SELECT 1 EXCEPT SELECT 2
WITH sub_query AS (SELECT a FROM table) (SELECT a FROM sub_query)
WITH sub_query AS (SELECT a FROM table) ((((SELECT a FROM sub_query))))
(SELECT 1) UNION (SELECT 2)
(SELECT 1) UNION SELECT 2
SELECT 1 UNION (SELECT 2)
(SELECT 1) ORDER BY x LIMIT 1 OFFSET 1
(SELECT 1 UNION SELECT 2) UNION (SELECT 2 UNION ALL SELECT 3)
(SELECT 1 UNION SELECT 2) ORDER BY x LIMIT 1 OFFSET 1
(SELECT 1 UNION SELECT 2) CLUSTER BY y DESC
(SELECT 1 UNION SELECT 2) SORT BY z
(SELECT 1 UNION SELECT 2) DISTRIBUTE BY z
(SELECT 1 UNION SELECT 2) DISTRIBUTE BY z SORT BY x
SELECT 1 UNION (SELECT 2) ORDER BY x
(SELECT 1) UNION SELECT 2 ORDER BY x
SELECT * FROM (((SELECT 1) UNION SELECT 2) ORDER BY x LIMIT 1 OFFSET 1)
SELECT * FROM ((SELECT 1 AS x) CROSS JOIN (SELECT 2 AS y)) AS z
((SELECT 1) EXCEPT (SELECT 2))
VALUES (1) UNION SELECT * FROM x
WITH a AS (SELECT 1) SELECT a.* FROM a
WITH a AS (SELECT 1), b AS (SELECT 2) SELECT a.*, b.* FROM a CROSS JOIN b
WITH a AS (WITH b AS (SELECT 1 AS x) SELECT b.x FROM b) SELECT a.x FROM a
WITH RECURSIVE T(n) AS (VALUES (1) UNION ALL SELECT n + 1 FROM t WHERE n < 100) SELECT SUM(n) FROM t
WITH RECURSIVE T(n, m) AS (VALUES (1, 2) UNION ALL SELECT n + 1, n + 2 FROM t) SELECT SUM(n) FROM t
WITH baz AS (SELECT 1 AS col) UPDATE bar SET cid = baz.col1 FROM baz
SELECT * FROM (WITH y AS (SELECT 1 AS z) SELECT z FROM y) AS x
SELECT RANK() OVER () FROM x
SELECT RANK() OVER () AS y FROM x
SELECT RANK() OVER (PARTITION BY a) FROM x
SELECT RANK() OVER (PARTITION BY a, b) FROM x
SELECT RANK() OVER (ORDER BY a) FROM x
SELECT RANK() OVER (ORDER BY a, b) FROM x
SELECT RANK() OVER (PARTITION BY a ORDER BY a) FROM x
SELECT RANK() OVER (PARTITION BY a, b ORDER BY a, b DESC) FROM x
SELECT SUM(x) OVER (PARTITION BY a) AS y FROM x
SELECT SUM(x) OVER (PARTITION BY a ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)
SELECT SUM(x) OVER (PARTITION BY a ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)
SELECT SUM(x) OVER (PARTITION BY a ORDER BY b ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)
SELECT SUM(x) OVER (PARTITION BY a ORDER BY b RANGE BETWEEN INTERVAL '1' DAY PRECEDING AND CURRENT ROW)
SELECT SUM(x) OVER (PARTITION BY a ORDER BY b RANGE BETWEEN INTERVAL '1' DAY PRECEDING AND INTERVAL '2' DAYS FOLLOWING)
SELECT SUM(x) OVER (PARTITION BY a ORDER BY b RANGE BETWEEN INTERVAL '1' DAY PRECEDING AND UNBOUNDED FOLLOWING)
SELECT SUM(x) OVER (PARTITION BY a ROWS BETWEEN UNBOUNDED PRECEDING AND PRECEDING)
SELECT SUM(x) OVER (PARTITION BY a ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)
SELECT SUM(x) OVER (PARTITION BY a ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
SELECT SUM(x) OVER (PARTITION BY a RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)
SELECT SUM(x) OVER (PARTITION BY a RANGE BETWEEN 1 AND 3)
SELECT SUM(x) OVER (PARTITION BY a RANGE BETWEEN 1 FOLLOWING AND 3)
SELECT SUM(x) OVER (PARTITION BY a RANGE BETWEEN 1 FOLLOWING AND UNBOUNDED FOLLOWING)
SELECT AVG(x) OVER (ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) FROM t
SELECT LISTAGG(x) WITHIN GROUP (ORDER BY x) AS y
SELECT LISTAGG(x) WITHIN GROUP (ORDER BY x DESC)
SELECT SUM(x) FILTER(WHERE x > 1)
SELECT SUM(x) FILTER(WHERE x > 1) OVER (ORDER BY y)
SELECT COUNT(DISTINCT a) OVER (PARTITION BY c ORDER BY d ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING)
SELECT a['1'], b[0], x.c[0], "x".d['1'] FROM x
SELECT ARRAY(1, 2, 3) FROM x
SELECT ARRAY(ARRAY(1), ARRAY(2)) FROM x
SELECT MAP[ARRAY(1), ARRAY(2)] FROM x
SELECT MAP(ARRAY(1), ARRAY(2)) FROM x
SELECT MAX(ARRAY(1, 2, 3)) FROM x
SELECT ARRAY(ARRAY(0))[0][0] FROM x
SELECT MAP[ARRAY('x'), ARRAY(0)]['x'] FROM x
SELECT student, score FROM tests LATERAL VIEW EXPLODE(scores)
SELECT student, score FROM tests LATERAL VIEW EXPLODE(scores) AS score
SELECT student, score FROM tests LATERAL VIEW EXPLODE(scores) t AS score
SELECT student, score FROM tests LATERAL VIEW EXPLODE(scores) t AS score, name
SELECT student, score FROM tests LATERAL VIEW OUTER EXPLODE(scores) t AS score, name
SELECT tf.* FROM (SELECT 0) AS t LATERAL VIEW STACK(1, 2) tf
SELECT tf.* FROM (SELECT 0) AS t LATERAL VIEW STACK(1, 2) tf AS col0, col1, col2
SELECT student, score FROM tests CROSS JOIN UNNEST(scores) AS t(score)
SELECT student, score FROM tests CROSS JOIN UNNEST(scores) AS t(a, b)
SELECT student, score FROM tests CROSS JOIN UNNEST(scores) WITH ORDINALITY AS t(a, b)
SELECT student, score FROM tests CROSS JOIN UNNEST(x.scores) AS t(score)
SELECT student, score FROM tests CROSS JOIN UNNEST(ARRAY(x.scores)) AS t(score)
SELECT * FROM t WITH (TABLOCK, INDEX(myindex))
SELECT * FROM t WITH (NOWAIT)
CREATE TABLE foo AS (SELECT 1) UNION ALL (SELECT 2)
CREATE TABLE foo (id INT PRIMARY KEY ASC)
CREATE TABLE a.b AS SELECT 1
CREATE TABLE a.b AS SELECT 1 WITH DATA AND STATISTICS
CREATE TABLE a.b AS SELECT 1 WITH NO DATA AND NO STATISTICS
CREATE TABLE a.b AS (SELECT 1) NO PRIMARY INDEX
CREATE TABLE a.b AS (SELECT 1) UNIQUE PRIMARY INDEX index1 (a) UNIQUE INDEX index2 (b)
CREATE TABLE a.b AS (SELECT 1) PRIMARY AMP INDEX index1 (a) UNIQUE INDEX index2 (b)
CREATE TABLE a.b AS SELECT a FROM a.c
CREATE TABLE IF NOT EXISTS x AS SELECT a FROM d
CREATE TEMPORARY TABLE x AS SELECT a FROM d
CREATE TEMPORARY TABLE IF NOT EXISTS x AS SELECT a FROM d
CREATE VIEW x AS SELECT a FROM b
CREATE VIEW IF NOT EXISTS x AS SELECT a FROM b
CREATE VIEW z (a, b COMMENT 'b', c COMMENT 'c') AS SELECT a, b, c FROM d
CREATE VIEW IF NOT EXISTS z (a, b COMMENT 'b', c COMMENT 'c') AS SELECT a, b, c FROM d
CREATE OR REPLACE VIEW x AS SELECT *
CREATE OR REPLACE TEMPORARY VIEW x AS SELECT *
CREATE TEMPORARY VIEW x AS SELECT a FROM d
CREATE TEMPORARY VIEW IF NOT EXISTS x AS SELECT a FROM d
CREATE TEMPORARY VIEW x AS WITH y AS (SELECT 1) SELECT * FROM y
CREATE MATERIALIZED VIEW x.y.z AS SELECT a FROM b
DROP MATERIALIZED VIEW x.y.z
CREATE TABLE z (a INT, b VARCHAR, c VARCHAR(100), d DECIMAL(5, 3))
CREATE TABLE z (end INT)
CREATE TABLE z (a ARRAY<TEXT>, b MAP<TEXT, DOUBLE>, c DECIMAL(5, 3))
CREATE TABLE z (a INT, b VARCHAR COMMENT 'z', c VARCHAR(100) COMMENT 'z', d DECIMAL(5, 3))
CREATE TABLE z (a INT(11) DEFAULT UUID())
CREATE TABLE z (n INT DEFAULT 0 NOT NULL)
CREATE TABLE z (a INT(11) DEFAULT NULL COMMENT '客户id')
CREATE TABLE z (a INT(11) NOT NULL DEFAULT 1)
CREATE TABLE z (a INT(11) NOT NULL DEFAULT -1)
CREATE TABLE z (a INT(11) NOT NULL COLLATE utf8_bin AUTO_INCREMENT)
CREATE TABLE z (a INT, PRIMARY KEY(a))
CREATE TABLE z WITH (FORMAT='parquet') AS SELECT 1
CREATE TABLE z WITH (FORMAT='ORC', x='2') AS SELECT 1
CREATE TABLE z WITH (TABLE_FORMAT='iceberg', FORMAT='parquet') AS SELECT 1
CREATE TABLE z WITH (TABLE_FORMAT='iceberg', FORMAT='ORC', x='2') AS SELECT 1
CREATE TABLE z (z INT) WITH (PARTITIONED_BY=(x INT, y INT))
CREATE TABLE z (z INT) WITH (PARTITIONED_BY=(x INT)) AS SELECT 1
CREATE TABLE z AS (WITH cte AS (SELECT 1) SELECT * FROM cte)
CREATE TABLE z AS ((WITH cte AS (SELECT 1) SELECT * FROM cte))
CREATE TABLE z (a INT UNIQUE)
CREATE TABLE z (a INT AUTO_INCREMENT)
CREATE TABLE z (a INT UNIQUE AUTO_INCREMENT)
CREATE TABLE z (a INT REFERENCES parent(b, c))
CREATE TABLE z (a INT PRIMARY KEY, b INT REFERENCES foo(id))
CREATE TABLE z (a INT, FOREIGN KEY (a) REFERENCES parent(b, c))
CREATE VIEW z (a, b)
CREATE VIEW z (a, b COMMENT 'b', c COMMENT 'c')
CREATE TEMPORARY FUNCTION f
CREATE TEMPORARY FUNCTION f AS 'g'
CREATE FUNCTION f
CREATE FUNCTION f AS 'g'
CREATE FUNCTION a(b INT, c VARCHAR) AS 'SELECT 1'
CREATE FUNCTION a() LANGUAGE sql
CREATE FUNCTION a() LANGUAGE sql RETURNS INT
CREATE FUNCTION a.b.c()
DROP FUNCTION a.b.c (INT)
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
CACHE LAZY TABLE x OPTIONS('storageLevel' = 'value')
CACHE LAZY TABLE x OPTIONS('storageLevel' = 'value') AS SELECT 1
CACHE LAZY TABLE x OPTIONS('storageLevel' = 'value') AS WITH a AS (SELECT 1) SELECT a.* FROM a
CACHE LAZY TABLE x AS WITH a AS (SELECT 1) SELECT a.* FROM a
CACHE TABLE x AS WITH a AS (SELECT 1) SELECT a.* FROM a
CACHE TABLE x AS (SELECT 1 AS y)
CALL catalog.system.iceberg_procedure_name(named_arg_1 => 'arg_1', named_arg_2 => 'arg_2')
CREATE PROCEDURE IF NOT EXISTS a.b.c() AS 'DECLARE BEGIN; END'
DROP PROCEDURE a.b.c (INT)
INSERT OVERWRITE TABLE a.b PARTITION(ds) SELECT x FROM y
INSERT OVERWRITE TABLE a.b PARTITION(ds='YYYY-MM-DD') SELECT x FROM y
INSERT OVERWRITE TABLE a.b PARTITION(ds, hour) SELECT x FROM y
INSERT OVERWRITE TABLE a.b PARTITION(ds='YYYY-MM-DD', hour='hh') SELECT x FROM y
ALTER AGGREGATE bla(foo) OWNER TO CURRENT_USER
ALTER RULE foo ON bla RENAME TO baz
ALTER ROLE CURRENT_USER WITH REPLICATION
ALTER SEQUENCE IF EXISTS baz RESTART WITH boo
ALTER TYPE electronic_mail RENAME TO email
ALTER VIEW foo ALTER COLUMN bla SET DEFAULT 'NOT SET'
ALTER DOMAIN foo VALIDATE CONSTRAINT bla
ANALYZE a.y
DELETE FROM x WHERE y > 1
DELETE FROM y
DELETE FROM event USING sales WHERE event.eventid = sales.eventid
DELETE FROM event USING sales, USING bla WHERE event.eventid = sales.eventid
DELETE FROM event USING sales AS s WHERE event.eventid = s.eventid
PREPARE statement
EXECUTE statement
DROP TABLE a
DROP TABLE a.b
DROP TABLE IF EXISTS a
DROP TABLE IF EXISTS a.b
DROP TABLE a CASCADE
DROP VIEW a
DROP VIEW a.b
DROP VIEW IF EXISTS a
DROP VIEW IF EXISTS a.b
SHOW TABLES
USE db
BEGIN
ROLLBACK
ROLLBACK TO b
EXPLAIN SELECT * FROM x
INSERT INTO x SELECT * FROM y
INSERT INTO x (SELECT * FROM y)
INSERT INTO x WITH y AS (SELECT 1) SELECT * FROM y
INSERT INTO x.z IF EXISTS SELECT * FROM y
INSERT INTO x VALUES (1, 'a', 2.0)
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 INTO y (SELECT 1) UNION (SELECT 2)
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
UPDATE tbl_name SET foo = 123
UPDATE tbl_name SET foo = 123, bar = 345
UPDATE db.tbl_name SET foo = 123 WHERE tbl_name.bar = 234
UPDATE db.tbl_name SET foo = 123, foo_1 = 234 WHERE tbl_name.bar = 234
TRUNCATE TABLE x
OPTIMIZE TABLE y
VACUUM FREEZE my_table
WITH a AS (SELECT 1) INSERT INTO b SELECT * FROM a
WITH a AS (SELECT * FROM b) UPDATE a SET col = 1
WITH a AS (SELECT * FROM b) CREATE TABLE b AS SELECT * FROM a
WITH a AS (SELECT * FROM b) DELETE FROM a
WITH a AS (SELECT * FROM b) CACHE TABLE a
SELECT ? AS ? FROM x WHERE b BETWEEN ? AND ? GROUP BY ?, 1 LIMIT ?
SELECT :hello, ? FROM x LIMIT :my_limit
WITH a AS ((SELECT b.foo AS foo, b.bar AS bar FROM b) UNION ALL (SELECT c.foo AS foo, c.bar AS bar FROM c)) SELECT * FROM a
WITH a AS ((SELECT 1 AS b) UNION ALL (SELECT 1 AS b)) SELECT * FROM a
SELECT (WITH x AS (SELECT 1 AS y) SELECT * FROM x) AS z
SELECT ((SELECT 1) + 1)
SELECT * FROM project.dataset.INFORMATION_SCHEMA.TABLES
SELECT * FROM (table1 AS t1 LEFT JOIN table2 AS t2 ON 1 = 1)
SELECT * FROM (tbl1 LEFT JOIN tbl2 ON 1 = 1)
SELECT * FROM (tbl1 JOIN tbl2 JOIN tbl3)
SELECT * FROM (tbl1 JOIN (tbl2 JOIN tbl3) ON bla = foo)
SELECT * FROM (tbl1 JOIN LATERAL (SELECT * FROM bla) AS tbl)
SELECT CAST(x AS INT) /* comment */ FROM foo
SELECT a /* x */, b /* x */
SELECT a /* x */ /* y */ /* z */, b /* k */ /* m */
SELECT * FROM foo /* x */, bla /* x */
SELECT 1 /* comment */ + 1
SELECT 1 /* c1 */ + 2 /* c2 */
SELECT 1 /* c1 */ + 2 /* c2 */ + 3 /* c3 */
SELECT 1 /* c1 */ + 2 /* c2 */, 3 /* c3 */
SELECT x FROM a.b.c /* x */, e.f.g /* x */
SELECT FOO(x /* c */) /* FOO */, b /* b */
SELECT FOO(x /* c1 */ + y /* c2 */ + BLA(5 /* c3 */)) FROM VALUES (1 /* c4 */, "test" /* c5 */) /* c6 */
SELECT a FROM x WHERE a COLLATE 'utf8_general_ci' = 'b'
SELECT x AS INTO FROM bla
SELECT * INTO newevent FROM event
SELECT * INTO TEMPORARY newevent FROM event
SELECT * INTO UNLOGGED newevent FROM event
ALTER TABLE integers ADD COLUMN k INT
ALTER TABLE integers ADD COLUMN IF NOT EXISTS k INT
ALTER TABLE IF EXISTS integers ADD COLUMN k INT
ALTER TABLE integers ADD COLUMN l INT DEFAULT 10
ALTER TABLE measurements ADD COLUMN mtime TIMESTAMPTZ DEFAULT NOW()
ALTER TABLE integers DROP COLUMN k
ALTER TABLE integers DROP COLUMN IF EXISTS k
ALTER TABLE integers DROP COLUMN k CASCADE
ALTER TABLE integers ALTER COLUMN i TYPE VARCHAR
ALTER TABLE integers ALTER COLUMN i TYPE VARCHAR USING CONCAT(i, '_', j)
ALTER TABLE integers ALTER COLUMN i SET DEFAULT 10
ALTER TABLE integers ALTER COLUMN i DROP DEFAULT
ALTER TABLE mydataset.mytable DROP COLUMN A, DROP COLUMN IF EXISTS B
ALTER TABLE mydataset.mytable ADD COLUMN A TEXT, ADD COLUMN IF NOT EXISTS B INT
SELECT div.a FROM test_table AS div