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authorDaniel Baumann <daniel.baumann@progress-linux.org>2023-09-20 09:22:25 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2023-09-20 09:22:25 +0000
commita45bbbb6f2fbd117d5d314e34e85afc2b48ad677 (patch)
tree35b576637338ae7cef217ddab721ad81aeb3f78c /tests/fixtures/optimizer
parentReleasing debian version 18.4.1-1. (diff)
downloadsqlglot-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/optimizer')
-rw-r--r--tests/fixtures/optimizer/optimizer.sql20
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`,