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https://issues.apache.org/jira/browse/SPARK-8133?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-8133.
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Resolution: Incomplete
> sticky partitions
> -----------------
>
> Key: SPARK-8133
> URL: https://issues.apache.org/jira/browse/SPARK-8133
> Project: Spark
> Issue Type: New Feature
> Components: DStreams
> Affects Versions: 1.3.1
> Reporter: sid
> Priority: Major
> Labels: bulk-closed
>
> We are trying to replace Apache Storm with Apache Spark streaming.
> In storm; we partitioned stream based on "Customer ID" so that msgs with a
> range of "customer IDs" will be routed to same bolt (worker).
> We do this because each worker will cache customer details (from DB).
> So we split into 4 partitions and each bolt (worker) will have 1/4 of the
> entire range.
> I am hoping we have a solution to this in Spark Streaming
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