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https://issues.apache.org/jira/browse/SPARK-22491?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-22491:
------------------------------
Priority: Minor (was: Major)
Issue Type: Improvement (was: Bug)
Doesn't sound like a bug. It's not clear if there's a reason this can't be
parallelized in the presence of an aggregation
> union all can't execute parallel with group by
> -----------------------------------------------
>
> Key: SPARK-22491
> URL: https://issues.apache.org/jira/browse/SPARK-22491
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.1.2
> Reporter: cen yuhai
> Priority: Minor
> Attachments: screenshot-1.png
>
>
> test sql
> set spark.sql.adaptive.enabled=true;
> {code}
> create table temp.test_yuhai_group
> as
> select
> city_name
> ,sum(amount)
> from temp.table_01
> group by city_name
> union all
> select
> city_name
> ,sum(amount)
> from temp.table_01
> group by city_name
> union all
> select city_name
> ,sum(amount)
> from temp.table_01
> group by city_name
> {code}
> if I remove group by ,it is ok
> {code}
> create table temp.test_yuhai_group
> as
> select
> city_name
> from temp.table_01
> union all
> select
> city_name
> from temp.table_01
> union all
> select city_name
> from temp.table_01
> {code}
> In the snapshot, the first time I execute ths sql, it run 3 job one by one
> (200 tasks per job).
> If I remove group by, it run just one job (600 tasks per job).
> workaround：
> set spark.sql.adaptive.enabled=false;
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