[jira] [Commented] (SPARK-25753) binaryFiles broken for small files
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https://issues.apache.org/jira/browse/SPARK-25753?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16944817#comment-16944817
]
Dongjoon Hyun commented on SPARK-25753:
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This is backported to branch-2.4 via https://github.com/apache/spark/pull/26026
.
> 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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[jira] [Commented] (SPARK-25753) binaryFiles broken for small files
[
https://issues.apache.org/jira/browse/SPARK-25753?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16652801#comment-16652801
]
Apache Spark commented on SPARK-25753:
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User '10110346' has created a pull request for this issue:
https://github.com/apache/spark/pull/22725
> 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: 3.0.0
>Reporter: liuxian
>Priority: Minor
>
> _{{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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