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  1. Spark
  2. SPARK-25753

binaryFiles broken for small files

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    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Minor
    • Resolution: Fixed
    • Affects Version/s: 2.4.4, 3.0.0
    • Fix Version/s: 2.4.5, 3.0.0
    • Component/s: Input/Output
    • Labels:
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      Description

      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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              • Assignee:
                10110346 liuxian
                Reporter:
                10110346 liuxian
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                  Updated:
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