[jira] [Commented] (SPARK-22196) Combine multiple input splits into a HadoopPartition

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-22196?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16190891#comment-16190891 ] 

Apache Spark commented on SPARK-22196:
--------------------------------------

User 'vgankidi' has created a pull request for this issue:
https://github.com/apache/spark/pull/19425

> Combine multiple input splits into a HadoopPartition
> ----------------------------------------------------
>
>                 Key: SPARK-22196
>                 URL: https://issues.apache.org/jira/browse/SPARK-22196
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 2.2.0
>            Reporter: Vinitha Reddy Gankidi
>
> Spark native read path allows tuning the partition size based on spark.sql.files.maxPartitionBytes and spark.sql.files.openCostInBytes. It would be useful to add a similar functionality/behavior to HadoopRDD, i.e, pack multiple input splits into a single partition based on maxPartitionBytes and openCostInBytes. We have had several use-cases to merge small files by coalescing them by size to reduce the number of tasks launched. 



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