liuxian created SPARK-25753: ------------------------------- Summary: 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
{{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)}} -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org