[jira] [Updated] (SPARK-8133) sticky partitions

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-8133?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-8133:
--------------------------------
    Labels: bulk-closed  (was: )

> 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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