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https://issues.apache.org/jira/browse/SPARK-4640?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-4640.
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Resolution: Won't Fix
It's not a bad idea but given lack of response I think this should be closed.
It can of course be implemented outside Spark
> FixedRangePartitioner for partitioning items with a known range
> ---------------------------------------------------------------
>
> Key: SPARK-4640
> URL: https://issues.apache.org/jira/browse/SPARK-4640
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Reporter: Kevin Mader
>
> For the large datasets I work with, it is common to have light-weight keys
> and very heavy values (integers and large double arrays for example). The key
> values are however known and unchanging. It would be nice if Spark had a
> built in partitioner which could take advantage of this. A
> FixedRangePartitioner[T](keys: Seq[T], partitions: Int) would be ideal.
> Furthermore this partitioner type could be extended to a
> PartitionerWithKnownKeys that had a getAllKeys function allowing for a list
> of keys to be obtained without querying through the entire RDD.
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