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Posted to issues@spark.apache.org by "Shivaram Venkataraman (JIRA)" <ji...@apache.org> on 2015/06/06 02:21:00 UTC

[jira] [Created] (SPARK-8137) Improve treeAggregate to combine all data on one machine first

Shivaram Venkataraman created SPARK-8137:
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             Summary: Improve treeAggregate to combine all data on one machine first
                 Key: SPARK-8137
                 URL: https://issues.apache.org/jira/browse/SPARK-8137
             Project: Spark
          Issue Type: Improvement
          Components: Spark Core
    Affects Versions: 1.4.0
            Reporter: Shivaram Venkataraman


Right now if we have multiple partitions on the same machine we shuffle the partitions and don't aggregate them first in treeAggregate. Once we have support for shuffle locality, we can get this for free by using the executorIds as the keys for aggregation. https://github.com/amplab/ml-matrix/blob/master/src/main/scala/edu/berkeley/cs/amplab/mlmatrix/util/Utils.scala#L96 has an example implementation





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