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Posted to issues@spark.apache.org by "sid (JIRA)" <ji...@apache.org> on 2015/06/06 00:37:00 UTC

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

sid created SPARK-8133:
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             Summary: sticky partitions
                 Key: SPARK-8133
                 URL: https://issues.apache.org/jira/browse/SPARK-8133
             Project: Spark
          Issue Type: New Feature
          Components: Streaming
    Affects Versions: 1.3.1
            Reporter: sid


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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