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https://issues.apache.org/jira/browse/SPARK-10684?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-10684:
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Assignee: (was: Apache Spark)
> StructType.interpretedOrdering need not to be serialized
> --------------------------------------------------------
>
> Key: SPARK-10684
> URL: https://issues.apache.org/jira/browse/SPARK-10684
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 1.5.0
> Reporter: Navis
> Priority: Minor
>
> Kryo fails with buffer overflow even with max value (2G).
> {noformat}
> org.apache.spark.SparkException: Kryo serialization failed: Buffer overflow.
> Available: 0, required: 1
> Serialization trace:
> containsChild (org.apache.spark.sql.catalyst.expressions.BoundReference)
> child (org.apache.spark.sql.catalyst.expressions.SortOrder)
> array (scala.collection.mutable.ArraySeq)
> ordering (org.apache.spark.sql.catalyst.expressions.InterpretedOrdering)
> interpretedOrdering (org.apache.spark.sql.types.StructType)
> schema (org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema). To
> avoid this, increase spark.kryoserializer.buffer.max value.
> at
> org.apache.spark.serializer.KryoSerializerInstance.serialize(KryoSerializer.scala:263)
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:240)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> {noformat}
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