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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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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
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@ -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
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@ -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