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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-08 08:11:50 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-08 08:11:50 +0000 |
commit | 8978da3b39d7ca3cf83ee30fcc63ffe0e5453fb2 (patch) | |
tree | 2e29f131dff77b31e84c957266de8f18655b6f88 /tests/fixtures/optimizer/optimizer.sql | |
parent | Adding upstream version 22.2.0. (diff) | |
download | sqlglot-8978da3b39d7ca3cf83ee30fcc63ffe0e5453fb2.tar.xz sqlglot-8978da3b39d7ca3cf83ee30fcc63ffe0e5453fb2.zip |
Adding upstream version 23.7.0.upstream/23.7.0
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 | 19 |
1 files changed, 10 insertions, 9 deletions
diff --git a/tests/fixtures/optimizer/optimizer.sql b/tests/fixtures/optimizer/optimizer.sql index 990453b..cc72e6d 100644 --- a/tests/fixtures/optimizer/optimizer.sql +++ b/tests/fixtures/optimizer/optimizer.sql @@ -33,16 +33,17 @@ FROM ( WHERE object_pointstext IS NOT NULL ); CREATE OR REPLACE TEMPORARY VIEW `latest_boo` AS -SELECT - TRIM(SPLIT(`_q_1`.`points`, ':')[0]) AS `points_type`, - TRIM(SPLIT(`_q_1`.`points`, ':')[1]) AS `points_value` -FROM ( +WITH `_q_1` AS ( SELECT EXPLODE_OUTER(SPLIT(`boo`.`object_pointstext`, ',')) AS `points` FROM `boo` AS `boo` WHERE NOT `boo`.`object_pointstext` IS NULL -) AS `_q_1`; +) +SELECT + TRIM(SPLIT(`_q_1`.`points`, ':')[0]) AS `points_type`, + TRIM(SPLIT(`_q_1`.`points`, ':')[1]) AS `points_value` +FROM `_q_1` AS `_q_1`; # title: Union in CTE WITH cte AS ( @@ -480,8 +481,8 @@ JOIN "company_table" AS "company_table_2" LEFT JOIN "unlocked" AS "unlocked" ON "company_table_2"."id" = "unlocked"."company_id" WHERE - NOT "company_table_2"."id" IS NULL - AND CASE WHEN "unlocked"."company_id" IS NULL THEN 0 ELSE 1 END = FALSE; + CASE WHEN "unlocked"."company_id" IS NULL THEN 0 ELSE 1 END = FALSE + AND NOT "company_table_2"."id" IS NULL; # title: db.table alias clash # execute: false @@ -823,7 +824,7 @@ SELECT 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) + AND `TOp_TeRmS`.`refresh_date` >= DATE_SUB(CURRENT_DATE, INTERVAL 2 WEEK) GROUP BY `day`, `top_term`, @@ -1379,11 +1380,11 @@ JOIN `date_dim` AS `date_dim` AND `date_dim`.`d_date` >= '2002-02-01' WHERE `_u_3`.`_u_4` IS NULL - AND NOT `_u_0`.`_u_1` IS NULL AND ( SIZE(`_u_0`.`_u_2`) = 0 OR SIZE(FILTER(`_u_0`.`_u_2`, `_x` -> `cs1`.`cs_warehouse_sk` <> `_x`)) <> 0 ) + AND NOT `_u_0`.`_u_1` IS NULL ORDER BY COUNT(DISTINCT `cs1`.`cs_order_number`) LIMIT 100; |