[jira] [Commented] (SPARK-13184) Support minPartitions parameter for JSON and CSV datasources as options

["Takeshi Yamamuro (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-13184?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15227435#comment-15227435 ] 

Takeshi Yamamuro commented on SPARK-13184:
------------------------------------------

Seems we can handle this by "spark.sql.files.maxPartitionBytes" and "spark.sql.files.openCostInBytes".
I'm not sure we need a newer option to do this.


> Support minPartitions parameter for JSON and CSV datasources as options
> -----------------------------------------------------------------------
>
>                 Key: SPARK-13184
>                 URL: https://issues.apache.org/jira/browse/SPARK-13184
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 2.0.0
>            Reporter: Hyukjin Kwon
>            Priority: Minor
>
> After looking through the pull requests below at Spark CSV datasources,
> https://github.com/databricks/spark-csv/pull/256
> https://github.com/databricks/spark-csv/issues/141
> https://github.com/databricks/spark-csv/pull/186
> It looks Spark might need to be able to set {{minPartitions}}.
> {{repartition()}} or {{coalesce()}} can be alternatives but it looks it needs to shuffle the data for most cases.
> Although I am still not sure if it needs this, I will open this ticket just for discussion.



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

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