[ 
https://issues.apache.org/jira/browse/SPARK-19213?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15821736#comment-15821736
 ] 

Apache Spark commented on SPARK-19213:
--------------------------------------

User 'robert3005' has created a pull request for this issue:
https://github.com/apache/spark/pull/16575

> FileSourceScanExec usese sparksession from hadoopfsrelation creation time 
> instead of the one active at time of execution
> ------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-19213
>                 URL: https://issues.apache.org/jira/browse/SPARK-19213
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.1.0
>            Reporter: Robert Kruszewski
>
> If you look at 
> https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala#L260
>  you'll notice that the sparksession used for execution is the one that was 
> captured from logicalplan. Whereas in other places you have 
> https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala#L154
>  and SparkPlan captures active session upon execution in 
> https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkPlan.scala#L52
> From my understanding of the io code it would be beneficial to be able to use 
> the active session in order to be able to modify hadoop config without 
> recreating the dataset. What would be interesting is to not lock the spark 
> session in the physical plan for ios and let you share datasets across spark 
> sessions. Is that supposed to work? Otherwise you'd have to get a new query 
> execution to bind to new sparksession which would only let you share logical 
> plans. 
> I am sending pr along with the latter.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

Reply via email to