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Posted to issues@spark.apache.org by "Vinitha Reddy Gankidi (JIRA)" <ji...@apache.org> on 2017/10/04 06:32:00 UTC

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

Vinitha Reddy Gankidi created SPARK-22196:
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             Summary: Combine multiple input splits into 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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