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https://issues.apache.org/jira/browse/SPARK-22196?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Vinitha Reddy Gankidi updated SPARK-22196:
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Summary: Combine multiple input splits into a HadoopPartition (was:
Combine multiple input splits into HadoopPartition)
> 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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