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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2023-06-29 13:02:26 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2023-06-29 13:02:26 +0000 |
commit | a299be925028c6243d34b020920dfd0135bb9574 (patch) | |
tree | 39a7a231466fd9d139047a67672f09040dd23394 /tests/fixtures/optimizer/optimizer.sql | |
parent | Adding upstream version 16.4.2. (diff) | |
download | sqlglot-a299be925028c6243d34b020920dfd0135bb9574.tar.xz sqlglot-a299be925028c6243d34b020920dfd0135bb9574.zip |
Adding upstream version 16.7.3.upstream/16.7.3
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'tests/fixtures/optimizer/optimizer.sql')
-rw-r--r-- | tests/fixtures/optimizer/optimizer.sql | 38 |
1 files changed, 25 insertions, 13 deletions
diff --git a/tests/fixtures/optimizer/optimizer.sql b/tests/fixtures/optimizer/optimizer.sql index 214535a..f71ddde 100644 --- a/tests/fixtures/optimizer/optimizer.sql +++ b/tests/fixtures/optimizer/optimizer.sql @@ -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; |