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| author | Dongjoon Hyun <dongjoon@apache.org> | 2016-07-18 17:17:37 -0700 |
|---|---|---|
| committer | Reynold Xin <rxin@databricks.com> | 2016-07-18 17:17:37 -0700 |
| commit | ea78edb80bf46e925d53e2aec29666c4eeb66188 (patch) | |
| tree | 49dcd9199c4443b42f91e84a0a9f7b794d8846d9 /sql/hive/src/test/resources/sqlgen/rollup_cube_4_1.sql | |
| parent | 75f0efe74d0c9a7acb525339c5184b99fee4dafc (diff) | |
| download | spark-ea78edb80bf46e925d53e2aec29666c4eeb66188.tar.gz spark-ea78edb80bf46e925d53e2aec29666c4eeb66188.tar.bz2 spark-ea78edb80bf46e925d53e2aec29666c4eeb66188.zip | |
[SPARK-16590][SQL] Improve LogicalPlanToSQLSuite to check generated SQL directly
## What changes were proposed in this pull request?
This PR improves `LogicalPlanToSQLSuite` to check the generated SQL directly by **structure**. So far, `LogicalPlanToSQLSuite` relies on `checkHiveQl` to ensure the **successful SQL generation** and **answer equality**. However, it does not guarantee the generated SQL is the same or will not be changed unnoticeably.
## How was this patch tested?
Pass the Jenkins. This is only a testsuite change.
Author: Dongjoon Hyun <dongjoon@apache.org>
Closes #14235 from dongjoon-hyun/SPARK-16590.
Diffstat (limited to 'sql/hive/src/test/resources/sqlgen/rollup_cube_4_1.sql')
| -rw-r--r-- | sql/hive/src/test/resources/sqlgen/rollup_cube_4_1.sql | 5 |
1 files changed, 5 insertions, 0 deletions
diff --git a/sql/hive/src/test/resources/sqlgen/rollup_cube_4_1.sql b/sql/hive/src/test/resources/sqlgen/rollup_cube_4_1.sql new file mode 100644 index 0000000000..be4908ea16 --- /dev/null +++ b/sql/hive/src/test/resources/sqlgen/rollup_cube_4_1.sql @@ -0,0 +1,5 @@ +-- This file is automatically generated by LogicalPlanToSQLSuite. +SELECT count(*) as cnt, key % 5 as k1, key - 5 as k2, grouping_id() FROM parquet_t1 +GROUP BY key % 5, key - 5 WITH ROLLUP +-------------------------------------------------------------------------------- +SELECT `gen_attr` AS `cnt`, `gen_attr` AS `k1`, `gen_attr` AS `k2`, `gen_attr` AS `grouping_id()` FROM (SELECT count(1) AS `gen_attr`, (`gen_attr` % CAST(5 AS BIGINT)) AS `gen_attr`, (`gen_attr` - CAST(5 AS BIGINT)) AS `gen_attr`, grouping_id() AS `gen_attr` FROM (SELECT `key` AS `gen_attr`, `value` AS `gen_attr` FROM `default`.`parquet_t1`) AS gen_subquery_0 GROUP BY (`gen_attr` % CAST(5 AS BIGINT)), (`gen_attr` - CAST(5 AS BIGINT)) GROUPING SETS(((`gen_attr` % CAST(5 AS BIGINT)), (`gen_attr` - CAST(5 AS BIGINT))), ((`gen_attr` % CAST(5 AS BIGINT))), ())) AS gen_subquery_1 |