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https://issues.apache.org/jira/browse/SPARK-8695?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14606582#comment-14606582
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Perinkulam I Ganesh commented on SPARK-8695:
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Looks like a simple change
while (numPartitions > scale + numPartitions / scale + 1 ) {
or
while (numPartitions > 5 && (numPartitions > scale + numPartitions / scale)) {
should correct the behaviour
thanks
> TreeAggregation shouldn't be triggered for 5 partitions
> -------------------------------------------------------
>
> Key: SPARK-8695
> URL: https://issues.apache.org/jira/browse/SPARK-8695
> Project: Spark
> Issue Type: Improvement
> Components: MLlib, Spark Core
> Affects Versions: 1.5.0
> Reporter: Xiangrui Meng
> Assignee: Xiangrui Meng
> Priority: Minor
>
> If an RDD has 5 partitions, tree aggregation doesn't reduce the wall-clock
> time. Instead, it introduces scheduling and shuffling overhead. We should
> update the condition to use tree aggregation (code attached):
> {code}
> while (numPartitions > scale + numPartitions / scale) {
> {code}
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