[SPARK-25753] binaryFiles broken for small files - ASF JIRA

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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:
None

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)