[jira] [Resolved] (SPARK-5318) Add ability to control partition count in SparkSql

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-5318?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-5318.
------------------------------
    Resolution: Won't Fix

> Add ability to control partition count in SparkSql
> --------------------------------------------------
>
>                 Key: SPARK-5318
>                 URL: https://issues.apache.org/jira/browse/SPARK-5318
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>            Reporter: Idan Zalzberg
>
> When using SparkSql, e.g. sqlContext.sql("..."), spark might need to read hadoop files.
> However, unlike the hadoopFile API, there is no documented way to set the minimal partition count when reading.
> There is an undocumented way, though, using "mapred.map.tasks" in hiveConf
> I suggest we make a documented way to do it, in the exact same way (possibly with a better name)



--
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