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Merging upstream version 20.9.0.

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Signed-off-by: Daniel Baumann <daniel@debian.org>
This commit is contained in:
Daniel Baumann 2025-02-13 21:19:14 +01:00
parent 9421b254ec
commit 37a231f554
Signed by: daniel
GPG key ID: FBB4F0E80A80222F
144 changed files with 78309 additions and 59609 deletions
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33
tests/fixtures/identity.sql vendored
View file

@ -107,6 +107,7 @@ 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'
f1 AT TIME ZONE INTERVAL '-10:00' AS f1
ARRAY()
ARRAY(1, 2)
ARRAY(time, foo)
@ -137,19 +138,26 @@ x ILIKE '%y%'
x LIKE '%y%' ESCAPE '\'
x ILIKE '%y%' ESCAPE '\'
1 AS escape
INTERVAL '1' day
INTERVAL '1' DAY
INTERVAL '1' MONTH
INTERVAL '1' YEAR
INTERVAL '-1' CURRENT_DATE
INTERVAL '-31' CAST(GETDATE() AS DATE)
INTERVAL (1 + 3) DAYS
INTERVAL '1' day * 5
5 * INTERVAL '1' day
CASE WHEN TRUE THEN INTERVAL '15' days END
INTERVAL '1' DAY * 5
5 * INTERVAL '1' DAY
CASE WHEN TRUE THEN INTERVAL '15' DAYS END
CASE WHEN TRUE THEN 1 ELSE interval END
CASE WHEN TRUE THEN 1 ELSE "INTERVAL" END
SELECT * WHERE interval IS NULL
SELECT * WHERE NOT interval IS NULL
SELECT * WHERE INTERVAL "is" > 1
SELECT * WHERE INTERVAL x.is > 1
CAST('45' AS INTERVAL DAYS)
CAST(x AS UUID)
FILTER(a, x -> x.a.b.c.d.e.f.g)
FILTER(a, x -> FOO(x.a.b.c.d.e.f.g) + x.a.b.c.d.e.f.g)
TIMESTAMP_FROM_PARTS(2019, 1, 10, 2, 3, 4, 123456789, 'America/Los_Angeles')
TIMESTAMP_DIFF(CURRENT_TIMESTAMP(), 1, DAY)
DATETIME_DIFF(CURRENT_DATE, 1, DAY)
QUANTILE(x, 0.5)
@ -164,7 +172,7 @@ 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)
COUNT(DISTINCT CASE WHEN DATE_TRUNC('ISOWEEK', DATE(time_field)) = DATE_TRUNC('ISOWEEK', DATE(time_field2)) THEN report_id ELSE NULL END)
COUNT(a, b)
x[y - 1]
CASE WHEN SUM(x) > 3 THEN 1 END OVER (PARTITION BY x)
@ -224,7 +232,7 @@ SELECT DISTINCT ON (x, y + 1) * FROM z
SELECT DISTINCT ON (x.y) * FROM z
SELECT DISTINCT FROM_SOMETHING
SELECT top.x
SELECT TIMESTAMP(DATE_TRUNC(DATE(time_field), MONTH)) AS time_value FROM "table"
SELECT TIMESTAMP(DATE_TRUNC('MONTH', DATE(time_field))) 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
@ -335,17 +343,13 @@ 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 1 FROM a.b.table1 AS t UNPIVOT((c3) FOR c4 IN (a, b))
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
@ -590,6 +594,7 @@ CREATE TABLE IF NOT EXISTS customer (pk BIGINT NOT NULL GENERATED ALWAYS AS IDEN
CREATE TABLE customer (pk BIGINT NOT NULL GENERATED ALWAYS AS IDENTITY (START WITH 10 INCREMENT BY 1 MINVALUE -1 MAXVALUE 1 NO CYCLE))
CREATE TABLE customer (pk BIGINT NOT NULL GENERATED ALWAYS AS IDENTITY (START WITH 10))
CREATE TABLE customer (pk BIGINT NOT NULL GENERATED ALWAYS AS IDENTITY (CYCLE))
CREATE TABLE customer (period INT NOT NULL)
CREATE TABLE foo (baz_id INT REFERENCES baz (id) DEFERRABLE)
CREATE TABLE foo (baz CHAR(4) CHARACTER SET LATIN UPPERCASE NOT CASESPECIFIC COMPRESS 'a')
CREATE TABLE foo (baz DATE FORMAT 'YYYY/MM/DD' TITLE 'title' INLINE LENGTH 1 COMPRESS ('a', 'b'))
@ -621,6 +626,9 @@ 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(x INT) RETURNS INT AS RETURN x + 1
CREATE FUNCTION a.b(x TEXT) RETURNS TEXT CONTAINS SQL AS RETURN x
CREATE FUNCTION a.b(x TEXT) RETURNS TEXT LANGUAGE SQL MODIFIES SQL DATA AS RETURN x
CREATE FUNCTION a.b(x TEXT) LANGUAGE SQL READS SQL DATA RETURNS TEXT AS RETURN x
CREATE FUNCTION a.b.c()
CREATE INDEX abc ON t(a)
CREATE INDEX "abc" ON t(a)
@ -635,6 +643,7 @@ CREATE DATABASE x
CREATE DATABASE IF NOT EXISTS y
CREATE PROCEDURE IF NOT EXISTS a.b.c() AS 'DECLARE BEGIN; END'
CREATE OR REPLACE STAGE
CREATE TABLE T3 AS (SELECT DISTINCT A FROM T1 EXCEPT (SELECT A FROM T2) LIMIT 1)
DESCRIBE x
DROP INDEX a.b.c
DROP FUNCTION a.b.c (INT)
@ -741,6 +750,7 @@ 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 CAST(x AS INT) /* comment */ FROM foo
SELECT c /* c1 */ AS alias /* c2 */
SELECT a /* x */, b /* x */
SELECT a /* x */ /* y */ /* z */, b /* k */ /* m */
SELECT * FROM foo /* x */, bla /* x */
@ -756,9 +766,6 @@ INSERT INTO foo SELECT * FROM bar /* comment */
/* c */ WITH x AS (SELECT 1) SELECT * FROM x
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 k INT FIRST
ALTER TABLE integers ADD COLUMN k INT AFTER m

4
tests/fixtures/optimizer/canonicalize.sql vendored
View file

@ -16,8 +16,8 @@ SELECT '1' + 1 AS "col";
SELECT '1' + '1' AS "col";
SELECT CONCAT('1', '1') AS "col";
SELECT CAST('2022-01-01' AS DATE) + INTERVAL '1' day;
SELECT CAST('2022-01-01' AS DATE) + INTERVAL '1' day AS "_col_0";
SELECT CAST('2022-01-01' AS DATE) + INTERVAL '1' DAY;
SELECT CAST('2022-01-01' AS DATE) + INTERVAL '1' DAY AS "_col_0";
SELECT CAST('2022-01-01' AS DATE) IS NULL AS "a";
SELECT CAST('2022-01-01' AS DATE) IS NULL AS "a";

133
tests/fixtures/optimizer/optimizer.sql vendored
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@ -626,8 +626,7 @@ SELECT
"_q_0"."G" AS "G",
"_q_0"."'x'" AS "'x'",
"_q_0"."'y'" AS "'y'"
FROM "U" AS "U" PIVOT(SUM("U"."F") FOR "U"."H" IN ('x', 'y')) AS "_q_0"
;
FROM "U" AS "U" PIVOT(SUM("U"."F") FOR "U"."H" IN ('x', 'y')) AS "_q_0";
# title: selecting all columns from a pivoted source and generating spark
# note: spark doesn't allow pivot aliases or qualified columns for the pivot's "field" (`h`)
@ -644,6 +643,110 @@ FROM (
FROM `u` AS `u` PIVOT(SUM(`u`.`f`) FOR `h` IN ('x', 'y'))
) AS `_q_0`;
# title: selecting all columns from a pivoted source, pivot has column aliases
# execute: false
# dialect: snowflake
WITH source AS (
SELECT
id,
key,
value,
timestamp_1,
timestamp_2
FROM DB_NAME.SCHEMA_NAME.TABLE_NAME
),
enriched AS (
SELECT * FROM source
PIVOT(MAX(value) FOR key IN ('a', 'b', 'c'))
AS final (id, timestamp_1, timestamp_2, col_1, col_2, col_3)
)
SELECT id, timestamp_1 FROM enriched;
WITH "SOURCE" AS (
SELECT
"TABLE_NAME"."ID" AS "ID",
"TABLE_NAME"."KEY" AS "KEY",
"TABLE_NAME"."VALUE" AS "VALUE",
"TABLE_NAME"."TIMESTAMP_1" AS "TIMESTAMP_1",
"TABLE_NAME"."TIMESTAMP_2" AS "TIMESTAMP_2"
FROM "DB_NAME"."SCHEMA_NAME"."TABLE_NAME" AS "TABLE_NAME"
)
SELECT
"FINAL"."ID" AS "ID",
"FINAL"."TIMESTAMP_1" AS "TIMESTAMP_1"
FROM "SOURCE" AS "SOURCE" PIVOT(MAX("SOURCE"."VALUE") FOR "SOURCE"."KEY" IN ('a', 'b', 'c')) AS "FINAL"("ID", "TIMESTAMP_1", "TIMESTAMP_2", "COL_1", "COL_2", "COL_3");
# title: unpivoted table source with a single value column, unpivot columns can't be qualified
# execute: false
# dialect: snowflake
SELECT * FROM m_sales AS m_sales(empid, dept, jan, feb) UNPIVOT(sales FOR month IN (jan, feb)) ORDER BY empid;
SELECT
"_q_0"."EMPID" AS "EMPID",
"_q_0"."DEPT" AS "DEPT",
"_q_0"."MONTH" AS "MONTH",
"_q_0"."SALES" AS "SALES"
FROM "M_SALES" AS "M_SALES"("EMPID", "DEPT", "JAN", "FEB") UNPIVOT("SALES" FOR "MONTH" IN ("JAN", "FEB")) AS "_q_0"
ORDER BY
"_q_0"."EMPID";
# title: unpivoted table source, unpivot has column aliases
# execute: false
SELECT * FROM (SELECT * FROM m_sales) AS m_sales(empid, dept, jan, feb) UNPIVOT(sales FOR month IN (jan, feb)) AS unpiv(a, b, c, d);
SELECT
"unpiv"."a" AS "a",
"unpiv"."b" AS "b",
"unpiv"."c" AS "c",
"unpiv"."d" AS "d"
FROM (
SELECT
"m_sales"."empid" AS "empid",
"m_sales"."dept" AS "dept",
"m_sales"."jan" AS "jan",
"m_sales"."feb" AS "feb"
FROM "m_sales" AS "m_sales"
) AS "m_sales" UNPIVOT("sales" FOR "month" IN ("m_sales"."jan", "m_sales"."feb")) AS "unpiv"("a", "b", "c", "d");
# title: unpivoted derived table source with a single value column
# execute: false
# dialect: snowflake
SELECT * FROM (SELECT * FROM m_sales) AS m_sales(empid, dept, jan, feb) UNPIVOT(sales FOR month IN (jan, feb)) ORDER BY empid;
SELECT
"_q_0"."EMPID" AS "EMPID",
"_q_0"."DEPT" AS "DEPT",
"_q_0"."MONTH" AS "MONTH",
"_q_0"."SALES" AS "SALES"
FROM (
SELECT
"M_SALES"."EMPID" AS "EMPID",
"M_SALES"."DEPT" AS "DEPT",
"M_SALES"."JAN" AS "JAN",
"M_SALES"."FEB" AS "FEB"
FROM "M_SALES" AS "M_SALES"
) AS "M_SALES" UNPIVOT("SALES" FOR "MONTH" IN ("JAN", "FEB")) AS "_q_0"
ORDER BY
"_q_0"."EMPID";
# title: unpivoted table source with a single value column, unpivot columns can be qualified
# execute: false
# dialect: bigquery
# note: the named columns aren't supported by BQ but we add them here to avoid defining a schema
SELECT * FROM produce AS produce(product, q1, q2, q3, q4) UNPIVOT(sales FOR quarter IN (q1, q2, q3, q4));
SELECT
`_q_0`.`product` AS `product`,
`_q_0`.`quarter` AS `quarter`,
`_q_0`.`sales` AS `sales`
FROM `produce` AS `produce` UNPIVOT(`sales` FOR `quarter` IN (`produce`.`q1`, `produce`.`q2`, `produce`.`q3`, `produce`.`q4`)) AS `_q_0`;
# title: unpivoted table source with multiple value columns
# execute: false
# dialect: bigquery
SELECT * FROM produce AS produce(product, q1, q2, q3, q4) UNPIVOT((first_half_sales, second_half_sales) FOR semesters IN ((Q1, Q2) AS 'semester_1', (Q3, Q4) AS 'semester_2'));
SELECT
`_q_0`.`product` AS `product`,
`_q_0`.`semesters` AS `semesters`,
`_q_0`.`first_half_sales` AS `first_half_sales`,
`_q_0`.`second_half_sales` AS `second_half_sales`
FROM `produce` AS `produce` UNPIVOT((`first_half_sales`, `second_half_sales`) FOR `semesters` IN ((`produce`.`q1`, `produce`.`q2`) AS 'semester_1', (`produce`.`q3`, `produce`.`q4`) AS 'semester_2')) AS `_q_0`;
# title: quoting is maintained
# dialect: snowflake
with cte1("id", foo) as (select 1, 2) select "id" from cte1;
@ -1144,3 +1247,29 @@ WITH "x" AS (
LIMIT 10
)
LIMIT 10;
# title: avoid producing DAG cycle when pushing down predicate to join
# execute: false
SELECT
a.company,
b.num
FROM route AS a(num, company, pos, stop)
JOIN route AS b(num, company, pos, stop) ON (a.num = b.num)
JOIN stops AS c(id, name) ON (c.id = b.stop)
JOIN stops AS d(id, name) ON (d.id = c.id)
WHERE
c.name = 'Craiglockhart'
OR d.name = 'Tollcross';
SELECT
"a"."company" AS "company",
"b"."num" AS "num"
FROM "route" AS "a"("num", "company", "pos", "stop")
JOIN "route" AS "b"("num", "company", "pos", "stop")
ON "a"."num" = "b"."num"
JOIN "stops" AS "c"("id", "name")
ON "b"."stop" = "c"."id"
JOIN "stops" AS "d"("id", "name")
ON "c"."id" = "d"."id"
AND (
"c"."name" = 'Craiglockhart' OR "d"."name" = 'Tollcross'
);

20
tests/fixtures/optimizer/pushdown_cte_alias_columns.sql vendored Normal file
View file

@ -0,0 +1,20 @@
WITH y(c) AS (SELECT SUM(a) FROM (SELECT 1 a) AS x HAVING c > 0) SELECT c FROM y;
WITH y(c) AS (SELECT SUM(a) AS c FROM (SELECT 1 AS a) AS x HAVING c > 0) SELECT c FROM y;
WITH y(c) AS (SELECT SUM(a) as d FROM (SELECT 1 a) AS x HAVING c > 0) SELECT c FROM y;
WITH y(c) AS (SELECT SUM(a) AS c FROM (SELECT 1 AS a) AS x HAVING c > 0) SELECT c FROM y;
WITH x(c) AS (SELECT SUM(1) a HAVING c > 0 LIMIT 1) SELECT * FROM x;
WITH x(c) AS (SELECT SUM(1) AS c HAVING c > 0 LIMIT 1) SELECT * FROM x;
-- Invalid statement in Snowflake but checking more complex structures
WITH x(c) AS ((SELECT 1 a) HAVING c > 0) SELECT * FROM x;
WITH x(c) AS ((SELECT 1 AS a) HAVING c > 0) SELECT * FROM x;
-- Invalid statement in Snowflake but checking more complex structures
WITH x(c) AS ((SELECT SUM(1) a) HAVING c > 0 LIMIT 1) SELECT * FROM x;
WITH x(c) AS ((SELECT SUM(1) AS a) HAVING c > 0 LIMIT 1) SELECT * FROM x;
-- Invalid statement in Snowflake but checking that we don't fail
WITH x(c) AS (SELECT SUM(a) FROM x HAVING c > 0 UNION ALL SELECT SUM(a) FROM y HAVING c > 0) SELECT * FROM x;
WITH x(c) AS (SELECT SUM(a) FROM x HAVING c > 0 UNION ALL SELECT SUM(a) FROM y HAVING c > 0) SELECT * FROM x;

2
tests/fixtures/optimizer/pushdown_predicates.sql vendored
View file

@ -11,7 +11,7 @@ SELECT x.a FROM (SELECT * FROM x) AS x JOIN y WHERE (x.a = y.a AND x.a = 1 AND x
SELECT x.a FROM (SELECT * FROM x) AS x JOIN y ON x.a = y.a WHERE TRUE;
SELECT x.a FROM (SELECT * FROM x) AS x JOIN y WHERE (x.a = y.a AND x.a = 1 AND x.b = 1) OR x.a = y.b;
SELECT x.a FROM (SELECT * FROM x) AS x JOIN y ON x.a = y.a OR x.a = y.b WHERE (x.a = 1 AND x.a = y.a AND x.b = 1) OR x.a = y.b;
SELECT x.a FROM (SELECT * FROM x) AS x JOIN y ON (x.a = 1 AND x.a = y.a AND x.b = 1) OR x.a = y.b WHERE (x.a = 1 AND x.a = y.a AND x.b = 1) OR x.a = y.b;
SELECT x.a FROM (SELECT x.a AS a, x.b * 1 AS c FROM x) AS x WHERE x.c = 1;
SELECT x.a FROM (SELECT x.a AS a, x.b * 1 AS c FROM x WHERE x.b * 1 = 1) AS x WHERE TRUE;

23
tests/fixtures/optimizer/qualify_columns.sql vendored
View file

@ -153,7 +153,7 @@ SELECT AGGREGATE(ARRAY(x.a, x.b), 0, (x, acc) -> x + acc + x.a) AS sum_agg FROM
# dialect: starrocks
# execute: false
SELECT DATE_TRUNC('week', a) AS a FROM x;
SELECT DATE_TRUNC('week', x.a) AS a FROM x AS x;
SELECT DATE_TRUNC('WEEK', x.a) AS a FROM x AS x;
# dialect: bigquery
# execute: false
@ -276,6 +276,17 @@ SELECT _q_0.a AS a FROM (SELECT x.a AS a FROM x AS x) AS _q_0;
SELECT * FROM x GROUP BY 1, 2;
SELECT x.a AS a, x.b AS b FROM x AS x GROUP BY x.a, x.b;
SELECT * FROM (SELECT * FROM x) AS s(a, b);
SELECT s.a AS a, s.b AS b FROM (SELECT x.a AS a, x.b AS b FROM x AS x) AS s;
# execute: false
SELECT * FROM (SELECT * FROM t) AS s(a, b);
SELECT s.a AS a, s.b AS b FROM (SELECT t.a AS a, t.b AS b FROM t AS t) AS s;
# execute: false
SELECT * FROM (SELECT * FROM t1 UNION ALL SELECT * FROM t2) AS s(b);
SELECT s.b AS b FROM (SELECT t1.b AS b FROM t1 AS t1 UNION ALL SELECT t2.b AS b FROM t2 AS t2) AS s;
--------------------------------------
-- CTEs
--------------------------------------
@ -430,6 +441,16 @@ SELECT t.aa AS aa FROM x AS x, UNNEST(x.a) AS t(aa);
SELECT aa FROM x, UNNEST(a) AS aa;
SELECT aa AS aa FROM x AS x, UNNEST(x.a) AS aa;
# dialect: bigquery
# execute: false
select * from unnest ([1, 2]) as x with offset;
SELECT x AS x, offset AS offset FROM UNNEST([1, 2]) AS x WITH OFFSET AS offset;
# dialect: bigquery
# execute: false
select * from unnest ([1, 2]) as x with offset as y;
SELECT x AS x, y AS y FROM UNNEST([1, 2]) AS x WITH OFFSET AS y;
# dialect: presto
SELECT x.a, i.b FROM x CROSS JOIN UNNEST(SPLIT(b, ',')) AS i(b);
SELECT x.a AS a, i.b AS b FROM x AS x CROSS JOIN UNNEST(SPLIT(x.b, ',')) AS i(b);

9
tests/fixtures/optimizer/qualify_tables.sql vendored
View file

@ -14,6 +14,11 @@ SELECT 1 FROM x.y.z AS z;
SELECT 1 FROM x.y.z AS z;
SELECT 1 FROM x.y.z AS z;
# title: redshift unnest syntax, z.a should be a column, not a table
# dialect: redshift
SELECT 1 FROM y.z AS z, z.a;
SELECT 1 FROM c.y.z AS z, z.a;
# title: cte can't be qualified
WITH a AS (SELECT 1 FROM z) SELECT 1 FROM a;
WITH a AS (SELECT 1 FROM c.db.z AS z) SELECT 1 FROM a;
@ -26,6 +31,10 @@ SELECT (SELECT y.c FROM c.db.y AS y) FROM c.db.x AS x;
SELECT * FROM x PIVOT (SUM(a) FOR b IN ('a', 'b'));
SELECT * FROM c.db.x AS x PIVOT(SUM(a) FOR b IN ('a', 'b')) AS _q_0;
# title: pivoted table, pivot has alias
SELECT * FROM x PIVOT (SUM(a) FOR b IN ('a', 'b')) AS piv;
SELECT * FROM c.db.x AS x PIVOT(SUM(a) FOR b IN ('a', 'b')) AS piv;
# title: wrapped table without alias
SELECT * FROM (tbl);
SELECT * FROM (c.db.tbl AS tbl);

54
tests/fixtures/optimizer/simplify.sql vendored
View file

@ -427,7 +427,7 @@ FALSE;
TRUE;
date '1998-12-01' - interval x day;
CAST('1998-12-01' AS DATE) - INTERVAL x day;
CAST('1998-12-01' AS DATE) - INTERVAL x DAY;
date '1998-12-01' - interval '90' day;
CAST('1998-09-02' AS DATE);
@ -442,13 +442,13 @@ interval '1' year + date '1998-01-01' + 3 * 7 * 4;
CAST('1999-01-01' AS DATE) + 84;
date '1998-12-01' - interval '90' foo;
CAST('1998-12-01' AS DATE) - INTERVAL '90' foo;
CAST('1998-12-01' AS DATE) - INTERVAL '90' FOO;
date '1998-12-01' + interval '90' foo;
CAST('1998-12-01' AS DATE) + INTERVAL '90' foo;
CAST('1998-12-01' AS DATE) + INTERVAL '90' FOO;
CAST(x AS DATE) + interval '1' week;
CAST(x AS DATE) + INTERVAL '1' week;
CAST(x AS DATE) + INTERVAL '1' WEEK;
CAST('2008-11-11' AS DATETIME) + INTERVAL '5' MONTH;
CAST('2009-04-11 00:00:00' AS DATETIME);
@ -456,8 +456,8 @@ CAST('2009-04-11 00:00:00' AS DATETIME);
datetime '1998-12-01' - interval '90' day;
CAST('1998-09-02 00:00:00' AS DATETIME);
CAST(x AS DATETIME) + interval '1' week;
CAST(x AS DATETIME) + INTERVAL '1' week;
CAST(x AS DATETIME) + interval '1' WEEK;
CAST(x AS DATETIME) + INTERVAL '1' WEEK;
TS_OR_DS_TO_DATE('1998-12-01 00:00:01') - interval '90' day;
CAST('1998-09-02' AS DATE);
@ -844,14 +844,14 @@ x < CAST('2022-01-01' AS DATE) AND x >= CAST('2021-01-01' AS DATE);
-- Always false, except for nulls
DATE_TRUNC('quarter', x) = CAST('2021-01-02' AS DATE);
DATE_TRUNC('quarter', x) = CAST('2021-01-02' AS DATE);
DATE_TRUNC('QUARTER', x) = CAST('2021-01-02' AS DATE);
DATE_TRUNC('year', x) <> CAST('2021-01-01' AS DATE);
FALSE;
-- Always true, except for nulls
DATE_TRUNC('year', x) <> CAST('2021-01-02' AS DATE);
DATE_TRUNC('year', x) <> CAST('2021-01-02' AS DATE);
DATE_TRUNC('YEAR', x) <> CAST('2021-01-02' AS DATE);
DATE_TRUNC('year', x) <= CAST('2021-01-01' AS DATE);
x < CAST('2022-01-01' AS DATE);
@ -884,11 +884,11 @@ DATE_TRUNC('year', x) > TS_OR_DS_TO_DATE(TS_OR_DS_TO_DATE('2021-01-02'));
x >= CAST('2022-01-01' AS DATE);
DATE_TRUNC('year', x) > TS_OR_DS_TO_DATE(TS_OR_DS_TO_DATE('2021-01-02', '%Y'));
DATE_TRUNC('year', x) > TS_OR_DS_TO_DATE(TS_OR_DS_TO_DATE('2021-01-02', '%Y'));
DATE_TRUNC('YEAR', x) > CAST(STR_TO_TIME('2021-01-02', '%Y') AS DATE);
-- right is not a date
DATE_TRUNC('year', x) <> '2021-01-02';
DATE_TRUNC('year', x) <> '2021-01-02';
DATE_TRUNC('YEAR', x) <> '2021-01-02';
DATE_TRUNC('year', x) IN (CAST('2021-01-01' AS DATE), CAST('2023-01-01' AS DATE));
(x < CAST('2022-01-01' AS DATE) AND x >= CAST('2021-01-01' AS DATE)) OR (x < CAST('2024-01-01' AS DATE) AND x >= CAST('2023-01-01' AS DATE));
@ -906,7 +906,7 @@ x < CAST('2022-01-01 00:00:00' AS DATETIME) AND x >= CAST('2021-01-01 00:00:00'
-- right side is not a date literal
DATE_TRUNC('day', x) = CAST(y AS DATE);
CAST(y AS DATE) = DATE_TRUNC('day', x);
CAST(y AS DATE) = DATE_TRUNC('DAY', x);
-- nested cast
DATE_TRUNC('day', x) = CAST(CAST('2021-01-01 01:02:03' AS DATETIME) AS DATE);
@ -973,7 +973,7 @@ DATE_ADD(DATE_ADD(DATE_TRUNC('week', DATE_SUB(x, 1, DAY)), 1, DAY), 1, YEAR) < C
x < CAST('2020-01-14' AS DATE);
x - INTERVAL '1' day = CAST(y AS DATE);
CAST(y AS DATE) = x - INTERVAL '1' day;
CAST(y AS DATE) = x - INTERVAL '1' DAY;
--------------------------------------
-- Constant Propagation
@ -1094,3 +1094,33 @@ CASE WHEN x = y THEN z END;
CASE x1 + x2 WHEN x3 THEN x4 WHEN x5 + x6 THEN x7 ELSE x8 END;
CASE WHEN x3 = (x1 + x2) THEN x4 WHEN (x1 + x2) = (x5 + x6) THEN x7 ELSE x8 END;
--------------------------------------
-- Simplify STARTSWITH
--------------------------------------
STARTS_WITH('foo', 'f');
TRUE;
STARTS_WITH('foo', 'g');
FALSE;
STARTS_WITH('', 'f');
FALSE;
STARTS_WITH('', '');
TRUE;
STARTS_WITH('foo', '');
TRUE;
STARTS_WITH(NULL, y);
STARTS_WITH(NULL, y);
STARTS_WITH(x, y);
STARTS_WITH(x, y);
STARTS_WITH('x', y);
STARTS_WITH('x', y);
STARTS_WITH(x, 'y');
STARTS_WITH(x, 'y');

179
tests/fixtures/optimizer/tpc-ds/tpc-ds.sql vendored
View file

@ -527,10 +527,11 @@ SELECT
"t_s_secyear"."customer_last_name" AS "customer_last_name",
"t_s_secyear"."customer_preferred_cust_flag" AS "customer_preferred_cust_flag"
FROM "year_total" AS "t_s_firstyear"
JOIN "year_total" AS "t_c_secyear"
ON "t_c_secyear"."customer_id" = "t_s_firstyear"."customer_id"
AND "t_c_secyear"."dyear" = 2002
AND "t_c_secyear"."sale_type" = 'c'
JOIN "year_total" AS "t_c_firstyear"
ON "t_c_firstyear"."customer_id" = "t_s_firstyear"."customer_id"
AND "t_c_firstyear"."dyear" = 2001
AND "t_c_firstyear"."sale_type" = 'c'
AND "t_c_firstyear"."year_total" > 0
JOIN "year_total" AS "t_s_secyear"
ON "t_s_firstyear"."customer_id" = "t_s_secyear"."customer_id"
AND "t_s_secyear"."dyear" = 2002
@ -540,15 +541,10 @@ JOIN "year_total" AS "t_w_firstyear"
AND "t_w_firstyear"."dyear" = 2001
AND "t_w_firstyear"."sale_type" = 'w'
AND "t_w_firstyear"."year_total" > 0
JOIN "year_total" AS "t_w_secyear"
ON "t_s_firstyear"."customer_id" = "t_w_secyear"."customer_id"
AND "t_w_secyear"."dyear" = 2002
AND "t_w_secyear"."sale_type" = 'w'
JOIN "year_total" AS "t_c_firstyear"
ON "t_c_firstyear"."customer_id" = "t_s_firstyear"."customer_id"
AND "t_c_firstyear"."dyear" = 2001
AND "t_c_firstyear"."sale_type" = 'c'
AND "t_c_firstyear"."year_total" > 0
JOIN "year_total" AS "t_c_secyear"
ON "t_c_secyear"."customer_id" = "t_s_firstyear"."customer_id"
AND "t_c_secyear"."dyear" = 2002
AND "t_c_secyear"."sale_type" = 'c'
AND CASE
WHEN "t_c_firstyear"."year_total" > 0
THEN "t_c_secyear"."year_total" / "t_c_firstyear"."year_total"
@ -558,6 +554,10 @@ JOIN "year_total" AS "t_c_firstyear"
THEN "t_s_secyear"."year_total" / "t_s_firstyear"."year_total"
ELSE NULL
END
JOIN "year_total" AS "t_w_secyear"
ON "t_s_firstyear"."customer_id" = "t_w_secyear"."customer_id"
AND "t_w_secyear"."dyear" = 2002
AND "t_w_secyear"."sale_type" = 'w'
AND CASE
WHEN "t_c_firstyear"."year_total" > 0
THEN "t_c_secyear"."year_total" / "t_c_firstyear"."year_total"
@ -1787,6 +1787,10 @@ SELECT
"t_s_secyear"."customer_last_name" AS "customer_last_name",
"t_s_secyear"."customer_birth_country" AS "customer_birth_country"
FROM "year_total" AS "t_s_firstyear"
JOIN "year_total" AS "t_s_secyear"
ON "t_s_firstyear"."customer_id" = "t_s_secyear"."customer_id"
AND "t_s_secyear"."dyear" = 2002
AND "t_s_secyear"."sale_type" = 's'
JOIN "year_total" AS "t_w_firstyear"
ON "t_s_firstyear"."customer_id" = "t_w_firstyear"."customer_id"
AND "t_w_firstyear"."dyear" = 2001
@ -1796,10 +1800,6 @@ JOIN "year_total" AS "t_w_secyear"
ON "t_s_firstyear"."customer_id" = "t_w_secyear"."customer_id"
AND "t_w_secyear"."dyear" = 2002
AND "t_w_secyear"."sale_type" = 'w'
JOIN "year_total" AS "t_s_secyear"
ON "t_s_firstyear"."customer_id" = "t_s_secyear"."customer_id"
AND "t_s_secyear"."dyear" = 2002
AND "t_s_secyear"."sale_type" = 's'
AND CASE
WHEN "t_s_firstyear"."year_total" > 0
THEN "t_s_secyear"."year_total" / "t_s_firstyear"."year_total"
@ -1934,7 +1934,7 @@ SELECT
AVG("store_sales"."ss_ext_wholesale_cost") AS "_col_2",
SUM("store_sales"."ss_ext_wholesale_cost") AS "_col_3"
FROM "store_sales" AS "store_sales"
CROSS JOIN "customer_demographics" AS "customer_demographics"
CROSS JOIN "household_demographics" AS "household_demographics"
JOIN "customer_address" AS "customer_address"
ON (
"customer_address"."ca_address_sk" = "store_sales"."ss_addr_sk"
@ -1957,10 +1957,7 @@ JOIN "customer_address" AS "customer_address"
AND "store_sales"."ss_net_profit" <= 300
AND "store_sales"."ss_net_profit" >= 150
)
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "date_dim"."d_year" = 2001
JOIN "household_demographics" AS "household_demographics"
JOIN "customer_demographics" AS "customer_demographics"
ON (
"customer_demographics"."cd_demo_sk" = "store_sales"."ss_cdemo_sk"
AND "customer_demographics"."cd_education_status" = 'Advanced Degree'
@ -1988,6 +1985,9 @@ JOIN "household_demographics" AS "household_demographics"
AND "store_sales"."ss_sales_price" <= 200.00
AND "store_sales"."ss_sales_price" >= 150.00
)
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "date_dim"."d_year" = 2001
JOIN "store" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk";
@ -2343,16 +2343,18 @@ SELECT
"customer_address"."ca_zip" AS "ca_zip",
SUM("catalog_sales"."cs_sales_price") AS "_col_1"
FROM "catalog_sales" AS "catalog_sales"
JOIN "customer_address" AS "customer_address"
ON "catalog_sales"."cs_sales_price" > 500
OR "customer_address"."ca_state" IN ('CA', 'WA', 'GA')
OR SUBSTR("customer_address"."ca_zip", 1, 5) IN ('85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792')
JOIN "customer" AS "customer"
ON "catalog_sales"."cs_bill_customer_sk" = "customer"."c_customer_sk"
JOIN "date_dim" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
AND "date_dim"."d_qoy" = 1
AND "date_dim"."d_year" = 1998
JOIN "customer" AS "customer"
ON "catalog_sales"."cs_bill_customer_sk" = "customer"."c_customer_sk"
JOIN "customer_address" AS "customer_address"
ON (
"catalog_sales"."cs_sales_price" > 500
OR "customer_address"."ca_state" IN ('CA', 'WA', 'GA')
OR SUBSTR("customer_address"."ca_zip", 1, 5) IN ('85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792')
)
AND "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk"
GROUP BY
"customer_address"."ca_zip"
@ -2428,7 +2430,7 @@ JOIN "date_dim" AS "date_dim"
ON "cs1"."cs_ship_date_sk" = "date_dim"."d_date_sk"
AND "date_dim"."d_date" >= '2002-3-01'
AND (
CAST('2002-3-01' AS DATE) + INTERVAL '60' day
CAST('2002-3-01' AS DATE) + INTERVAL '60' DAY
) >= CAST("date_dim"."d_date" AS DATE)
WHERE
"_u_3"."_u_4" IS NULL
@ -2669,15 +2671,15 @@ SELECT
FROM "date_dim" AS "date_dim"
JOIN "store_sales" AS "store_sales"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "customer" AS "customer"
ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk"
JOIN "item" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk" AND "item"."i_manager_id" = 38
JOIN "customer_address" AS "customer_address"
ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk"
JOIN "store" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
JOIN "customer_address" AS "customer_address"
ON SUBSTR("customer_address"."ca_zip", 1, 5) <> SUBSTR("store"."s_zip", 1, 5)
JOIN "customer" AS "customer"
ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk"
AND "customer"."c_customer_sk" = "store_sales"."ss_customer_sk"
AND SUBSTR("customer_address"."ca_zip", 1, 5) <> SUBSTR("store"."s_zip", 1, 5)
WHERE
"date_dim"."d_moy" = 12 AND "date_dim"."d_year" = 1998
GROUP BY
@ -3109,6 +3111,8 @@ WITH "ssales" AS (
"item"."i_color" AS "i_color",
SUM("store_sales"."ss_net_profit") AS "netpaid"
FROM "store_sales" AS "store_sales"
JOIN "customer" AS "customer"
ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk"
JOIN "item" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
JOIN "store" AS "store"
@ -3117,10 +3121,8 @@ WITH "ssales" AS (
ON "store_returns"."sr_item_sk" = "store_sales"."ss_item_sk"
AND "store_returns"."sr_ticket_number" = "store_sales"."ss_ticket_number"
JOIN "customer_address" AS "customer_address"
ON "customer_address"."ca_zip" = "store"."s_zip"
JOIN "customer" AS "customer"
ON "customer"."c_birth_country" = UPPER("customer_address"."ca_country")
AND "customer"."c_customer_sk" = "store_sales"."ss_customer_sk"
AND "customer_address"."ca_zip" = "store"."s_zip"
GROUP BY
"customer"."c_last_name",
"customer"."c_first_name",
@ -3850,6 +3852,8 @@ JOIN "ss" AS "ss2"
ON "ss1"."ca_county" = "ss2"."ca_county" AND "ss2"."d_qoy" = 2 AND "ss2"."d_year" = 2001
JOIN "ws" AS "ws1"
ON "ss1"."ca_county" = "ws1"."ca_county" AND "ws1"."d_qoy" = 1 AND "ws1"."d_year" = 2001
JOIN "ss" AS "ss3"
ON "ss2"."ca_county" = "ss3"."ca_county" AND "ss3"."d_qoy" = 3 AND "ss3"."d_year" = 2001
JOIN "ws" AS "ws2"
ON "ws1"."ca_county" = "ws2"."ca_county"
AND "ws2"."d_qoy" = 2
@ -3864,11 +3868,9 @@ JOIN "ws" AS "ws2"
ELSE NULL
END
JOIN "ws" AS "ws3"
ON "ws1"."ca_county" = "ws3"."ca_county" AND "ws3"."d_qoy" = 3 AND "ws3"."d_year" = 2001
JOIN "ss" AS "ss3"
ON "ss2"."ca_county" = "ss3"."ca_county"
AND "ss3"."d_qoy" = 3
AND "ss3"."d_year" = 2001
ON "ws1"."ca_county" = "ws3"."ca_county"
AND "ws3"."d_qoy" = 3
AND "ws3"."d_year" = 2001
AND CASE
WHEN "ss2"."store_sales" > 0
THEN "ss3"."store_sales" / "ss2"."store_sales"
@ -7013,22 +7015,22 @@ SELECT
"ss_items"."ss_item_rev" + "cs_items"."cs_item_rev" + "ws_items"."ws_item_rev"
) / 3 AS "average"
FROM "ss_items"
JOIN "ws_items"
ON "ss_items"."item_id" = "ws_items"."item_id"
AND "ss_items"."ss_item_rev" <= 1.1 * "ws_items"."ws_item_rev"
AND "ss_items"."ss_item_rev" >= 0.9 * "ws_items"."ws_item_rev"
AND "ws_items"."ws_item_rev" <= 1.1 * "ss_items"."ss_item_rev"
AND "ws_items"."ws_item_rev" >= 0.9 * "ss_items"."ss_item_rev"
JOIN "cs_items"
ON "cs_items"."cs_item_rev" <= 1.1 * "ss_items"."ss_item_rev"
AND "cs_items"."cs_item_rev" <= 1.1 * "ws_items"."ws_item_rev"
AND "cs_items"."cs_item_rev" >= 0.9 * "ss_items"."ss_item_rev"
AND "cs_items"."cs_item_rev" >= 0.9 * "ws_items"."ws_item_rev"
AND "cs_items"."item_id" = "ss_items"."item_id"
AND "ss_items"."ss_item_rev" <= 1.1 * "cs_items"."cs_item_rev"
AND "ss_items"."ss_item_rev" >= 0.9 * "cs_items"."cs_item_rev"
JOIN "ws_items"
ON "cs_items"."cs_item_rev" <= 1.1 * "ws_items"."ws_item_rev"
AND "cs_items"."cs_item_rev" >= 0.9 * "ws_items"."ws_item_rev"
AND "ss_items"."item_id" = "ws_items"."item_id"
AND "ss_items"."ss_item_rev" <= 1.1 * "ws_items"."ws_item_rev"
AND "ss_items"."ss_item_rev" >= 0.9 * "ws_items"."ws_item_rev"
AND "ws_items"."ws_item_rev" <= 1.1 * "cs_items"."cs_item_rev"
AND "ws_items"."ws_item_rev" <= 1.1 * "ss_items"."ss_item_rev"
AND "ws_items"."ws_item_rev" >= 0.9 * "cs_items"."cs_item_rev"
AND "ws_items"."ws_item_rev" >= 0.9 * "ss_items"."ss_item_rev"
ORDER BY
"item_id",
"ss_item_rev"
@ -7915,17 +7917,18 @@ WITH "cs_ui" AS (
SUM("store_sales"."ss_list_price") AS "s2",
SUM("store_sales"."ss_coupon_amt") AS "s3"
FROM "store_sales" AS "store_sales"
CROSS JOIN "income_band" AS "ib2"
JOIN "customer_address" AS "ad1"
ON "ad1"."ca_address_sk" = "store_sales"."ss_addr_sk"
JOIN "customer_demographics" AS "cd1"
ON "cd1"."cd_demo_sk" = "store_sales"."ss_cdemo_sk"
JOIN "cs_ui"
ON "cs_ui"."cs_item_sk" = "store_sales"."ss_item_sk"
JOIN "customer" AS "customer"
ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk"
JOIN "date_dim" AS "d1"
ON "d1"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "household_demographics" AS "hd1"
ON "hd1"."hd_demo_sk" = "store_sales"."ss_hdemo_sk"
JOIN "household_demographics" AS "hd2"
ON "hd2"."hd_income_band_sk" = "ib2"."ib_income_band_sk"
JOIN "item" AS "item"
ON "item"."i_color" IN ('cyan', 'peach', 'blush', 'frosted', 'powder', 'orange')
AND "item"."i_current_price" <= 68
@ -7938,22 +7941,21 @@ WITH "cs_ui" AS (
JOIN "store_returns" AS "store_returns"
ON "store_returns"."sr_item_sk" = "store_sales"."ss_item_sk"
AND "store_returns"."sr_ticket_number" = "store_sales"."ss_ticket_number"
JOIN "customer" AS "customer"
ON "customer"."c_current_hdemo_sk" = "hd2"."hd_demo_sk"
AND "customer"."c_customer_sk" = "store_sales"."ss_customer_sk"
JOIN "income_band" AS "ib1"
ON "hd1"."hd_income_band_sk" = "ib1"."ib_income_band_sk"
JOIN "customer_address" AS "ad2"
ON "ad2"."ca_address_sk" = "customer"."c_current_addr_sk"
JOIN "customer_demographics" AS "cd2"
ON "cd2"."cd_demo_sk" = "customer"."c_current_cdemo_sk"
ON "cd1"."cd_marital_status" <> "cd2"."cd_marital_status"
AND "cd2"."cd_demo_sk" = "customer"."c_current_cdemo_sk"
JOIN "date_dim" AS "d2"
ON "customer"."c_first_sales_date_sk" = "d2"."d_date_sk"
JOIN "date_dim" AS "d3"
ON "customer"."c_first_shipto_date_sk" = "d3"."d_date_sk"
JOIN "customer_demographics" AS "cd1"
ON "cd1"."cd_demo_sk" = "store_sales"."ss_cdemo_sk"
AND "cd1"."cd_marital_status" <> "cd2"."cd_marital_status"
JOIN "household_demographics" AS "hd2"
ON "customer"."c_current_hdemo_sk" = "hd2"."hd_demo_sk"
JOIN "income_band" AS "ib1"
ON "hd1"."hd_income_band_sk" = "ib1"."ib_income_band_sk"
JOIN "income_band" AS "ib2"
ON "hd2"."hd_income_band_sk" = "ib2"."ib_income_band_sk"
GROUP BY
"item"."i_product_name",
"item"."i_item_sk",
@ -9523,8 +9525,8 @@ LEFT JOIN "catalog_returns" AS "catalog_returns"
JOIN "customer_demographics" AS "customer_demographics"
ON "catalog_sales"."cs_bill_cdemo_sk" = "customer_demographics"."cd_demo_sk"
AND "customer_demographics"."cd_marital_status" = 'M'
JOIN "date_dim" AS "d3"
ON "catalog_sales"."cs_ship_date_sk" = "d3"."d_date_sk"
JOIN "date_dim" AS "d1"
ON "catalog_sales"."cs_sold_date_sk" = "d1"."d_date_sk" AND "d1"."d_year" = 2002
JOIN "household_demographics" AS "household_demographics"
ON "catalog_sales"."cs_bill_hdemo_sk" = "household_demographics"."hd_demo_sk"
AND "household_demographics"."hd_buy_potential" = '501-1000'
@ -9536,14 +9538,13 @@ JOIN "item" AS "item"
LEFT JOIN "promotion" AS "promotion"
ON "catalog_sales"."cs_promo_sk" = "promotion"."p_promo_sk"
JOIN "date_dim" AS "d2"
ON "d2"."d_date_sk" = "inventory"."inv_date_sk"
ON "d1"."d_week_seq" = "d2"."d_week_seq"
AND "d2"."d_date_sk" = "inventory"."inv_date_sk"
JOIN "date_dim" AS "d3"
ON "catalog_sales"."cs_ship_date_sk" = "d3"."d_date_sk"
AND "d3"."d_date" > "d1"."d_date" + INTERVAL '5' DAY
JOIN "warehouse" AS "warehouse"
ON "inventory"."inv_warehouse_sk" = "warehouse"."w_warehouse_sk"
JOIN "date_dim" AS "d1"
ON "catalog_sales"."cs_sold_date_sk" = "d1"."d_date_sk"
AND "d1"."d_week_seq" = "d2"."d_week_seq"
AND "d1"."d_year" = 2002
AND "d3"."d_date" > "d1"."d_date" + INTERVAL '5' day
GROUP BY
"item"."i_item_desc",
"warehouse"."w_warehouse_name",
@ -9769,6 +9770,10 @@ SELECT
"t_s_secyear"."customer_first_name" AS "customer_first_name",
"t_s_secyear"."customer_last_name" AS "customer_last_name"
FROM "year_total" AS "t_s_firstyear"
JOIN "year_total" AS "t_s_secyear"
ON "t_s_firstyear"."customer_id" = "t_s_secyear"."customer_id"
AND "t_s_secyear"."sale_type" = 's'
AND "t_s_secyear"."year1" = 2000
JOIN "year_total" AS "t_w_firstyear"
ON "t_s_firstyear"."customer_id" = "t_w_firstyear"."customer_id"
AND "t_w_firstyear"."sale_type" = 'w'
@ -9778,10 +9783,6 @@ JOIN "year_total" AS "t_w_secyear"
ON "t_s_firstyear"."customer_id" = "t_w_secyear"."customer_id"
AND "t_w_secyear"."sale_type" = 'w'
AND "t_w_secyear"."year1" = 2000
JOIN "year_total" AS "t_s_secyear"
ON "t_s_firstyear"."customer_id" = "t_s_secyear"."customer_id"
AND "t_s_secyear"."sale_type" = 's'
AND "t_s_secyear"."year1" = 2000
AND CASE
WHEN "t_s_firstyear"."year_total" > 0
THEN "t_s_secyear"."year_total" / "t_s_firstyear"."year_total"
@ -11369,8 +11370,8 @@ JOIN "web_page" AS "web_page"
JOIN "web_returns" AS "web_returns"
ON "web_returns"."wr_item_sk" = "web_sales"."ws_item_sk"
AND "web_returns"."wr_order_number" = "web_sales"."ws_order_number"
JOIN "customer_demographics" AS "cd2"
ON "cd2"."cd_demo_sk" = "web_returns"."wr_returning_cdemo_sk"
JOIN "customer_demographics" AS "cd1"
ON "cd1"."cd_demo_sk" = "web_returns"."wr_refunded_cdemo_sk"
JOIN "customer_address" AS "customer_address"
ON "customer_address"."ca_address_sk" = "web_returns"."wr_refunded_addr_sk"
AND (
@ -11395,8 +11396,8 @@ JOIN "customer_address" AS "customer_address"
)
JOIN "reason" AS "reason"
ON "reason"."r_reason_sk" = "web_returns"."wr_reason_sk"
JOIN "customer_demographics" AS "cd1"
ON "cd1"."cd_demo_sk" = "web_returns"."wr_refunded_cdemo_sk"
JOIN "customer_demographics" AS "cd2"
ON "cd2"."cd_demo_sk" = "web_returns"."wr_returning_cdemo_sk"
AND (
(
"cd1"."cd_education_status" = "cd2"."cd_education_status"
@ -12032,13 +12033,14 @@ SELECT
"call_center"."cc_manager" AS "manager",
SUM("catalog_returns"."cr_net_loss") AS "returns_loss"
FROM "call_center" AS "call_center"
JOIN "household_demographics" AS "household_demographics"
ON "household_demographics"."hd_buy_potential" LIKE 'Unknown%'
JOIN "customer" AS "customer"
ON "customer"."c_current_hdemo_sk" = "household_demographics"."hd_demo_sk"
JOIN "catalog_returns" AS "catalog_returns"
ON "call_center"."cc_call_center_sk" = "catalog_returns"."cr_call_center_sk"
AND "catalog_returns"."cr_returning_customer_sk" = "customer"."c_customer_sk"
JOIN "customer" AS "customer"
ON "catalog_returns"."cr_returning_customer_sk" = "customer"."c_customer_sk"
JOIN "date_dim" AS "date_dim"
ON "catalog_returns"."cr_returned_date_sk" = "date_dim"."d_date_sk"
AND "date_dim"."d_moy" = 12
AND "date_dim"."d_year" = 1999
JOIN "customer_address" AS "customer_address"
ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk"
AND "customer_address"."ca_gmt_offset" = -7
@ -12060,10 +12062,9 @@ JOIN "customer_demographics" AS "customer_demographics"
"customer_demographics"."cd_marital_status" = 'M'
OR "customer_demographics"."cd_marital_status" = 'W'
)
JOIN "date_dim" AS "date_dim"
ON "catalog_returns"."cr_returned_date_sk" = "date_dim"."d_date_sk"
AND "date_dim"."d_moy" = 12
AND "date_dim"."d_year" = 1999
JOIN "household_demographics" AS "household_demographics"
ON "customer"."c_current_hdemo_sk" = "household_demographics"."hd_demo_sk"
AND "household_demographics"."hd_buy_potential" LIKE 'Unknown%'
GROUP BY
"call_center"."cc_call_center_id",
"call_center"."cc_name",
@ -12249,7 +12250,7 @@ JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date" >= '2000-3-01'
AND "date_dim"."d_date_sk" = "ws1"."ws_ship_date_sk"
AND (
CAST('2000-3-01' AS DATE) + INTERVAL '60' day
CAST('2000-3-01' AS DATE) + INTERVAL '60' DAY
) >= CAST("date_dim"."d_date" AS DATE)
JOIN "web_site" AS "web_site"
ON "web_site"."web_company_name" = 'pri'
@ -12339,7 +12340,7 @@ JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date" >= '2000-4-01'
AND "date_dim"."d_date_sk" = "ws1"."ws_ship_date_sk"
AND (
CAST('2000-4-01' AS DATE) + INTERVAL '60' day
CAST('2000-4-01' AS DATE) + INTERVAL '60' DAY
) >= CAST("date_dim"."d_date" AS DATE)
JOIN "web_site" AS "web_site"
ON "web_site"."web_company_name" = 'pri'

73
tests/fixtures/optimizer/tpc-h/tpc-h.sql vendored
View file

@ -99,19 +99,19 @@ order by
p_partkey
limit
100;
WITH "region_2" AS (
WITH "partsupp_2" AS (
SELECT
"partsupp"."ps_partkey" AS "ps_partkey",
"partsupp"."ps_suppkey" AS "ps_suppkey",
"partsupp"."ps_supplycost" AS "ps_supplycost"
FROM "partsupp" AS "partsupp"
), "region_2" AS (
SELECT
"region"."r_regionkey" AS "r_regionkey",
"region"."r_name" AS "r_name"
FROM "region" AS "region"
WHERE
"region"."r_name" = 'EUROPE'
), "partsupp_2" AS (
SELECT
"partsupp"."ps_partkey" AS "ps_partkey",
"partsupp"."ps_suppkey" AS "ps_suppkey",
"partsupp"."ps_supplycost" AS "ps_supplycost"
FROM "partsupp" AS "partsupp"
), "_u_0" AS (
SELECT
MIN("partsupp"."ps_supplycost") AS "_col_0",
@ -136,16 +136,16 @@ SELECT
"supplier"."s_phone" AS "s_phone",
"supplier"."s_comment" AS "s_comment"
FROM "part" AS "part"
CROSS JOIN "region_2" AS "region"
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."_u_1" = "part"."p_partkey"
JOIN "nation" AS "nation"
ON "nation"."n_regionkey" = "region"."r_regionkey"
JOIN "partsupp_2" AS "partsupp"
ON "part"."p_partkey" = "partsupp"."ps_partkey"
JOIN "supplier" AS "supplier"
ON "partsupp"."ps_suppkey" = "supplier"."s_suppkey"
JOIN "nation" AS "nation"
ON "nation"."n_nationkey" = "supplier"."s_nationkey"
AND "partsupp"."ps_suppkey" = "supplier"."s_suppkey"
JOIN "region_2" AS "region"
ON "nation"."n_regionkey" = "region"."r_regionkey"
WHERE
"_u_0"."_col_0" = "partsupp"."ps_supplycost"
AND "part"."p_size" = 15
@ -294,10 +294,10 @@ JOIN "orders" AS "orders"
ON "customer"."c_custkey" = "orders"."o_custkey"
AND CAST("orders"."o_orderdate" AS DATE) < CAST('1995-01-01' AS DATE)
AND CAST("orders"."o_orderdate" AS DATE) >= CAST('1994-01-01' AS DATE)
JOIN "supplier" AS "supplier"
ON "customer"."c_nationkey" = "supplier"."s_nationkey"
JOIN "lineitem" AS "lineitem"
ON "lineitem"."l_orderkey" = "orders"."o_orderkey"
JOIN "supplier" AS "supplier"
ON "customer"."c_nationkey" = "supplier"."s_nationkey"
AND "lineitem"."l_suppkey" = "supplier"."s_suppkey"
JOIN "nation" AS "nation"
ON "nation"."n_nationkey" = "supplier"."s_nationkey"
@ -389,8 +389,13 @@ JOIN "nation" AS "n1"
"n1"."n_name" = 'FRANCE' OR "n1"."n_name" = 'GERMANY'
)
AND "n1"."n_nationkey" = "supplier"."s_nationkey"
JOIN "orders" AS "orders"
ON "lineitem"."l_orderkey" = "orders"."o_orderkey"
JOIN "customer" AS "customer"
ON "customer"."c_custkey" = "orders"."o_custkey"
JOIN "nation" AS "n2"
ON (
ON "customer"."c_nationkey" = "n2"."n_nationkey"
AND (
"n1"."n_name" = 'FRANCE' OR "n2"."n_name" = 'FRANCE'
)
AND (
@ -399,11 +404,6 @@ JOIN "nation" AS "n2"
AND (
"n2"."n_name" = 'FRANCE' OR "n2"."n_name" = 'GERMANY'
)
JOIN "customer" AS "customer"
ON "customer"."c_nationkey" = "n2"."n_nationkey"
JOIN "orders" AS "orders"
ON "customer"."c_custkey" = "orders"."o_custkey"
AND "lineitem"."l_orderkey" = "orders"."o_orderkey"
GROUP BY
"n1"."n_name",
"n2"."n_name",
@ -467,23 +467,22 @@ SELECT
1 - "lineitem"."l_discount"
)) AS "mkt_share"
FROM "part" AS "part"
JOIN "region" AS "region"
ON "region"."r_name" = 'AMERICA'
JOIN "lineitem" AS "lineitem"
ON "lineitem"."l_partkey" = "part"."p_partkey"
JOIN "nation" AS "n1"
ON "n1"."n_regionkey" = "region"."r_regionkey"
JOIN "customer" AS "customer"
ON "customer"."c_nationkey" = "n1"."n_nationkey"
JOIN "supplier" AS "supplier"
ON "lineitem"."l_suppkey" = "supplier"."s_suppkey"
JOIN "nation" AS "n2"
ON "n2"."n_nationkey" = "supplier"."s_nationkey"
JOIN "orders" AS "orders"
ON "customer"."c_custkey" = "orders"."o_custkey"
AND "lineitem"."l_orderkey" = "orders"."o_orderkey"
ON "lineitem"."l_orderkey" = "orders"."o_orderkey"
AND CAST("orders"."o_orderdate" AS DATE) <= CAST('1996-12-31' AS DATE)
AND CAST("orders"."o_orderdate" AS DATE) >= CAST('1995-01-01' AS DATE)
JOIN "supplier" AS "supplier"
ON "lineitem"."l_suppkey" = "supplier"."s_suppkey"
JOIN "customer" AS "customer"
ON "customer"."c_custkey" = "orders"."o_custkey"
JOIN "nation" AS "n2"
ON "n2"."n_nationkey" = "supplier"."s_nationkey"
JOIN "nation" AS "n1"
ON "customer"."c_nationkey" = "n1"."n_nationkey"
JOIN "region" AS "region"
ON "n1"."n_regionkey" = "region"."r_regionkey" AND "region"."r_name" = 'AMERICA'
WHERE
"part"."p_type" = 'ECONOMY ANODIZED STEEL'
GROUP BY
@ -1126,6 +1125,10 @@ FROM "lineitem" AS "lineitem"
JOIN "part" AS "part"
ON (
"lineitem"."l_partkey" = "part"."p_partkey"
AND "lineitem"."l_quantity" <= 11
AND "lineitem"."l_quantity" >= 1
AND "lineitem"."l_shipinstruct" = 'DELIVER IN PERSON'
AND "lineitem"."l_shipmode" IN ('AIR', 'AIR REG')
AND "part"."p_brand" = 'Brand#12'
AND "part"."p_container" IN ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG')
AND "part"."p_size" <= 5
@ -1133,6 +1136,10 @@ JOIN "part" AS "part"
)
OR (
"lineitem"."l_partkey" = "part"."p_partkey"
AND "lineitem"."l_quantity" <= 20
AND "lineitem"."l_quantity" >= 10
AND "lineitem"."l_shipinstruct" = 'DELIVER IN PERSON'
AND "lineitem"."l_shipmode" IN ('AIR', 'AIR REG')
AND "part"."p_brand" = 'Brand#23'
AND "part"."p_container" IN ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK')
AND "part"."p_size" <= 10
@ -1140,6 +1147,10 @@ JOIN "part" AS "part"
)
OR (
"lineitem"."l_partkey" = "part"."p_partkey"
AND "lineitem"."l_quantity" <= 30
AND "lineitem"."l_quantity" >= 20
AND "lineitem"."l_shipinstruct" = 'DELIVER IN PERSON'
AND "lineitem"."l_shipmode" IN ('AIR', 'AIR REG')
AND "part"."p_brand" = 'Brand#34'
AND "part"."p_container" IN ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG')
AND "part"."p_size" <= 15