[SPARK-25753] binaryFiles broken for small files

• 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
• Assignee: liuxian
• Reporter: liuxian
• Created: 17/Oct/18 01:01
• Updated: 04/Oct/19 20:51
• Resolved: 22/Oct/18 13:54

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)

Issue Links

• relates to: SPARK-24610 wholeTextFiles broken for small files
• links to: [Github] Pull Request #22725 (10110346)
• links to: GitHub Pull Request #26026