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Posted to issues@spark.apache.org by "Naveen Pishe (JIRA)" <ji...@apache.org> on 2016/06/20 17:32:05 UTC
[jira] [Updated] (SPARK-16072) Map operation on JavaPairDStream
throws Task not serializable Exception
[ https://issues.apache.org/jira/browse/SPARK-16072?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Naveen Pishe updated SPARK-16072:
---------------------------------
Affects Version/s: (was: 1.4.0)
(was: 1.3.0)
1.6.0
1.6.1
> Map operation on JavaPairDStream throws Task not serializable Exception
> ------------------------------------------------------------------------
>
> Key: SPARK-16072
> URL: https://issues.apache.org/jira/browse/SPARK-16072
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 1.5.0, 1.6.0, 1.6.1
> Reporter: Naveen Pishe
> Labels: Sequence, header, metadata, sequencefile
>
> There is requirement to save "user-defined" Metadata as part of Sequence File "Header" using Spark.
> To write a User-defined metadata as part of Sequence File using regular Hadoop API's I pass the metadata object to SequenceFile.Writer constructor which when creates a SequenceFile ensures the metadata is part of the sequence file header.
> Currently Spark's JavaPairRDD Api provides methods to save an RDD to an SequenceFile format, but I don't see any API which can either give the SequenceFile.writer or a method where in I can pass the user-defined metadata so as to be written as part of sequence file header.
> The enhancement request an API to implement the same
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