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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:04:32 UTC

[jira] [Updated] (SPARK-22491) union all can't execute parallel with group by

     [ https://issues.apache.org/jira/browse/SPARK-22491?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-22491:
---------------------------------
    Labels: bulk-closed  (was: )

> 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
>              Labels: bulk-closed
>         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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