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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2016/02/04 08:45:39 UTC

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

Hyukjin Kwon created SPARK-13184:
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             Summary: 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: Improvement
          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.



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