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