[
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.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
