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| author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2023-09-20 09:22:25 +0000 |
|---|---|---|
| committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2023-09-20 09:22:25 +0000 |
| commit | a45bbbb6f2fbd117d5d314e34e85afc2b48ad677 (patch) | |
| tree | 35b576637338ae7cef217ddab721ad81aeb3f78c /tests/fixtures | |
| parent | Releasing debian version 18.4.1-1. (diff) | |
| download | sqlglot-a45bbbb6f2fbd117d5d314e34e85afc2b48ad677.tar.xz sqlglot-a45bbbb6f2fbd117d5d314e34e85afc2b48ad677.zip | |
Merging upstream version 18.5.1.
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'tests/fixtures')
| -rw-r--r-- | tests/fixtures/optimizer/optimizer.sql | 20 |
1 files changed, 10 insertions, 10 deletions
diff --git a/tests/fixtures/optimizer/optimizer.sql b/tests/fixtures/optimizer/optimizer.sql index 4a994c1..e59f14d 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 @@ -668,13 +668,13 @@ 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 `day`, `top_term`, |