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Merging upstream version 16.7.3.

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Signed-off-by: Daniel Baumann <daniel@debian.org>
This commit is contained in:
Daniel Baumann 2025-02-13 20:21:40 +01:00
parent 331a760a3d
commit 088f137198
Signed by: daniel
GPG key ID: FBB4F0E80A80222F
75 changed files with 33866 additions and 31988 deletions
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38
tests/fixtures/optimizer/optimizer.sql vendored
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@ -577,10 +577,10 @@ FROM `u_cte` AS `u_cte` PIVOT(SUM(`u_cte`.`f`) AS `sum` FOR `u_cte`.`h` IN ('x',
# dialect: snowflake
SELECT * FROM u PIVOT (SUM(f) FOR h IN ('x', 'y'));
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"
"_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"
;
# title: selecting all columns from a pivoted source and generating spark
@ -668,16 +668,28 @@ WHERE
GROUP BY `dAy`, `top_term`, rank
ORDER BY `DaY` DESC;
SELECT
`TOp_TeRmS`.`refresh_date` AS `day`,
`TOp_TeRmS`.`term` AS `top_term`,
`TOp_TeRmS`.`rank` AS `rank`
FROM `bigquery-public-data`.`GooGle_tReNDs`.`TOp_TeRmS` AS `TOp_TeRmS`
`top_terms`.`refresh_date` AS `day`,
`top_terms`.`term` AS `top_term`,
`top_terms`.`rank` AS `rank`
FROM `bigquery-public-data`.`GooGle_tReNDs`.`TOp_TeRmS` AS `top_terms`
WHERE
`TOp_TeRmS`.`rank` = 1
AND CAST(`TOp_TeRmS`.`refresh_date` AS DATE) >= DATE_SUB(CURRENT_DATE, INTERVAL 2 WEEK)
`top_terms`.`rank` = 1
AND CAST(`top_terms`.`refresh_date` AS DATE) >= DATE_SUB(CURRENT_DATE, INTERVAL 2 WEEK)
GROUP BY
`TOp_TeRmS`.`refresh_date`,
`TOp_TeRmS`.`term`,
`TOp_TeRmS`.`rank`
`day`,
`top_term`,
`rank`
ORDER BY
`day` DESC;
# title: group by keys cannot be simplified
SELECT a + 1 + 1 + 1 + 1 AS b, 2 + 1 AS c FROM x GROUP BY a + 1 + 1 HAVING a + 1 + 1 + 1 + 1 > 1;
SELECT
"x"."a" + 1 + 1 + 1 + 1 AS "b",
3 AS "c"
FROM "x" AS "x"
GROUP BY
"x"."a" + 1 + 1
HAVING
"x"."a" + 1 + 1 + 1 + 1 > 1;