[jira] [Updated] (SPARK-8695) TreeAggregation shouldn't be triggered for 5 partitions
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https://issues.apache.org/jira/browse/SPARK-8695?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiangrui Meng updated SPARK-8695:
-
Assignee: (was: Xiangrui Meng)
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
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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[jira] [Updated] (SPARK-8695) TreeAggregation shouldn't be triggered for 5 partitions
[
https://issues.apache.org/jira/browse/SPARK-8695?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiangrui Meng updated SPARK-8695:
-
Priority: Minor (was: Major)
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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(v6.3.4#6332)
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