[ https://issues.apache.org/jira/browse/SPARK-25753?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-25753: ------------------------------------ Assignee: (was: Apache Spark) > 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)}}_ -- 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