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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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