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From "Reynold Xin (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-10684) StructType.interpretedOrdering need not to be serialized
Date Fri, 18 Sep 2015 17:57:04 GMT

     [ https://issues.apache.org/jira/browse/SPARK-10684?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Reynold Xin updated SPARK-10684:
--------------------------------
    Fix Version/s: 1.5.1

> 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
>            Assignee: Navis
>            Priority: Minor
>             Fix For: 1.6.0, 1.5.1
>
>
> 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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