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https://issues.apache.org/jira/browse/SPARK-22233?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16198526#comment-16198526
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Apache Spark commented on SPARK-22233:
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User 'liutang123' has created a pull request for this issue:
https://github.com/apache/spark/pull/19464
> filter out empty InputSplit in HadoopRDD
> ----------------------------------------
>
> Key: SPARK-22233
> URL: https://issues.apache.org/jira/browse/SPARK-22233
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.2.0
> Environment: spark version:Spark 2.2
> master: yarn
> deploy-mode: cluster
> Reporter: Lijia Liu
>
> Sometimes, Hive will create an empty table with many empty files, Spark use
> the InputFormat stored in Hive Meta Store and will not combine the empty
> files and therefore generate many tasks to handle this empty files.
> Hive use CombineHiveInputFormat(hive.input.format) by default.
> So, in this case, Spark will spends much more resources than hive.
> 2 suggestions:
> 1. add a configuration, filter out empty InputSplit in HadoopRDD.
> 2. add a configuration, user can customize the inputformatclass in
> HadoopTableReader.
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