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https://issues.apache.org/jira/browse/SPARK-6044?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14361967#comment-14361967
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Apache Spark commented on SPARK-6044:
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User 'srowen' has created a pull request for this issue:
https://github.com/apache/spark/pull/5028
> RDD.aggregate() should not use the closure serializer on the zero value
> -----------------------------------------------------------------------
>
> Key: SPARK-6044
> URL: https://issues.apache.org/jira/browse/SPARK-6044
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.3.0
> Reporter: Matt Cheah
> Fix For: 1.4.0
>
>
> PairRDDFunctions.aggregateByKey() correctly uses
> SparkEnv.get.serializer.newInstance() to serialize the zero value. It seems
> this logic is not mirrored in RDD.aggregate(), which computes the aggregation
> and returns the aggregation directly at the driver. We should change
> RDD.aggregate() to make this consistent; I ran into some serialization errors
> because I was expecting RDD.aggregate() to Kryo serialize the zero value.
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