GitHub user saurfang opened a pull request:
https://github.com/apache/spark/pull/8726
[SPARK-10543] [CORE] Peak Execution Memory Quantile should be Per-task Basis
Read `PEAK_EXECUTION_MEMORY` using `update` to get per task partial value
instead of cumulative value.
I tested with this workload:
```scala
val size = 1000
val repetitions = 10
val data = sc.parallelize(1 to size, 5).map(x => (util.Random.nextInt(size
/ repetitions),util.Random.nextDouble)).toDF("key", "value")
val res = data.toDF.groupBy("key").agg(sum("value")).count
```
Before:
After:
Tasks view:
cc @andrewor14 I appreciate if you can give feedback on this since I think
you introduced display of this metric.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/saurfang/spark stagepage
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/8726.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #8726
----
commit 3adbc33fce5752c0d80581fc5981490a141d222c
Author: Forest Fang <[email protected]>
Date: 2015-09-10T21:49:38Z
use partial update value instead of cumulative value
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