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https://issues.apache.org/jira/browse/SPARK-6087?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-6087:
-----------------------------
Priority: Major (was: Critical)
Fix Version/s: 1.4.0
Assignee: Lev Khomich
Labels: backport-needed starter (was: starter)
Issue Type: Improvement (was: Bug)
Merged into 1.4; waiting on 1.3.0 release to back-port
> Provide actionable exception if Kryo buffer is not large enough
> ---------------------------------------------------------------
>
> Key: SPARK-6087
> URL: https://issues.apache.org/jira/browse/SPARK-6087
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 1.3.0
> Reporter: Patrick Wendell
> Assignee: Lev Khomich
> Labels: backport-needed, starter
> Fix For: 1.4.0
>
>
> Right now if you don't have a large enough Kryo buffer, you get a really
> confusing exception. I noticed this when using Kryo to serialize broadcasted
> tables in Spark SQL. We should catch-then-rethrow this in the KryoSerializer,
> wrapping it in a message that suggests increasing the Kryo buffer size
> configuration variable.
> {code}
> com.esotericsoftware.kryo.KryoException: Buffer overflow. Available: 0,
> required: 3
> Serialization trace:
> value (org.apache.spark.sql.catalyst.expressions.MutableAny)
> values (org.apache.spark.sql.catalyst.expressions.SpecificMutableRow)
> at com.esotericsoftware.kryo.io.Output.require(Output.java:138)
> at com.esotericsoftware.kryo.io.Output.writeAscii_slow(Output.java:446)
> at com.esotericsoftware.kryo.io.Output.writeString(Output.java:306)
> at
> com.esotericsoftware.kryo.serializers.DefaultSerializers$StringSerializer.write(DefaultSerializers.java:153)
> at
> com.esotericsoftware.kryo.serializers.DefaultSerializers$StringSerializer.write(DefaultSerializers.java:146)
> at com.esotericsoftware.kryo.Kryo.writeObject(Kryo.java:501)
> at
> com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.write(FieldSerializer.java:564)
> at
> com.esotericsoftware.kryo.serializers.FieldSerializer.write(FieldSerializer.java:213)
> at com.esotericsoftware.kryo.Kryo.writeClassAndObject(Kryo.java:568)
> at
> com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.write(DefaultArraySerializers.java:318)
> at
> com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.write(DefaultArraySerializers.java:293)
> at com.esotericsoftware.kryo.Kryo.writeObject(Kryo.java:501)
> at
> com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.write(FieldSerializer.java:564)
> at
> com.esotericsoftware.kryo.serializers.FieldSerializer.write(FieldSerializer.java:213)
> at com.esotericsoftware.kryo.Kryo.writeClassAndObject(Kryo.java:568)
> at
> com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.write(DefaultArraySerializers.java:318)
> at
> com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.write(DefaultArraySerializers.java:293)
> at com.esotericsoftware.kryo.Kryo.writeClassAndObject(Kryo.java:568)
> at
> org.apache.spark.serializer.KryoSerializerInstance.serialize(KryoSerializer.scala:167)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:234)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> {code}
> /cc [~kayousterhout] who helped report his issue
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