[jira] [Resolved] (SPARK-6757) spark.sql.shuffle.partitions is global, not per connection

["Michael Armbrust (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-6757?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust resolved SPARK-6757.
-------------------------------------
    Resolution: Duplicate

> spark.sql.shuffle.partitions is global, not per connection
> ----------------------------------------------------------
>
>                 Key: SPARK-6757
>                 URL: https://issues.apache.org/jira/browse/SPARK-6757
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.3.0
>            Reporter: David Ross
>
> We are trying to use the {{spark.sql.shuffle.partitions}} parameter to handle large queries differently from smaller queries. We expected that this parameter would be respected per connection, but it seems to be global.
> For example, in try this in two separate JDBC connections:
> Connection 1:
> {code}
> SET spark.sql.shuffle.partitions=10;
> SELECT * FROM some_table;
> {code}
> The correct number {{10}} was used.
> Connection 2:
> {code}
> SET spark.sql.shuffle.partitions=100;
> SELECT * FROM some_table;
> {code}
> The correct number {{100}} was used.
> Back to connection 1:
> {code}
> SELECT * FROM some_table;
> {code}
> We expected the number {{10}} to be used but {{100}} is used.



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