![]() You may receive an error message similar to: ERROR Executor: Exception in task 7.0 in stage 6.0 (TID 439)Īt java.io.ByteArrayOutputStream.hugeCapacity(Unknown Source)Īt java.io.ow(Unknown Source)Īt java.io.ByteArrayOutputStream.ensureCapacity(Unknown Source)Īt java.io.ByteArrayOutputStream.write(Unknown Source)Īt java.io.ObjectOutputStream$BlockDataOutputStream.drain(Unknown Source)Īt java.io.ObjectOutputStream$tBlockDataMode(Unknown Source)Īt java.io.ObjectOutputStream.writeObject0(Unknown Source)Īt java.io.ObjectOutputStream.writeObject(Unknown Source)Īt .JavaSerializationStream.writeObject(JavaSerializer.scala:44)Īt .rialize(JavaSerializer.scala:101)Īt .Executor$n(Executor.scala:239)Īt .runWorker(Unknown Source)Īt $n(Unknown Source)ĮRROR SparkUncaughtExceptionHandler: Uncaught exception in thread Thread ![]() Your Apache Spark application failed with an OutOfMemoryError unhandled exception. Scenario: OutOfMemoryError exception for Apache Spark Issue This article describes troubleshooting steps and possible resolutions for issues when using Apache Spark components in Azure HDInsight clusters.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |