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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2019/10/04 20:51:00 UTC
[jira] [Updated] (SPARK-25753) binaryFiles broken for small files
[ https://issues.apache.org/jira/browse/SPARK-25753?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun updated SPARK-25753:
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Fix Version/s: 2.4.5
> binaryFiles broken for small files
> ----------------------------------
>
> Key: SPARK-25753
> URL: https://issues.apache.org/jira/browse/SPARK-25753
> Project: Spark
> Issue Type: Bug
> Components: Input/Output
> Affects Versions: 2.4.4, 3.0.0
> Reporter: liuxian
> Assignee: liuxian
> Priority: Minor
> Fix For: 2.4.5, 3.0.0
>
>
> _{{StreamFileInputFormat}}_ and {{_WholeTextFileInputFormat_(https://issues.apache.org/jira/browse/SPARK-24610)}} have the same problem: for small sized files, the computed maxSplitSize by `_{{StreamFileInputFormat}}_ ` is way smaller than the default or commonly used split size of 64/128M and spark throws an exception while trying to read them.
> {{Exception info:}}
> _{{Minimum split size pernode 5123456 cannot be larger than maximum split size 4194304 java.io.IOException: Minimum split size pernode 5123456 cannot be larger than maximum split size 4194304 at org.apache.hadoop.mapreduce.lib.input.CombineFileInputFormat.getSplits(CombineFileInputFormat.java: 201) at org.apache.spark.rdd.BinaryFileRDD.getPartitions(BinaryFileRDD.scala:52) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:254) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.rdd.RDD.partitions(RDD.scala:252) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2138)}}_
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