GitHub user Taaffy opened a pull request:
https://github.com/apache/spark/pull/19268
Incorrect Metric reported in MetricsReporter.scala
Current implementation for processingRate-total uses wrong metric:
mistakenly uses inputRowsPerSecond instead of processedRowsPerSecond
## What changes were proposed in this pull request?
Adjust processingRate-total from using inputRowsPerSecond to
processedRowsPerSecond
## How was this patch tested?
Built spark from source with proposed change and tested output with correct
parameter. Before change the csv metrics file for inputRate-total and
processingRate-total displayed the same values due to the error. After changing
MetricsReporter.scala the processingRate-total csv file displayed the correct
metric.
https://user-images.githubusercontent.com/32072374/30554340-82eea12c-9ca4-11e7-8370-8168526ff9a2.png";>
Please review http://spark.apache.org/contributing.html before opening a
pull request.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/Taaffy/spark patch-1
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/19268.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 #19268
commit afe083ff45313ed07cb95ded4c089ead7d80ecce
Author: Taaffy <32072374+taa...@users.noreply.github.com>
Date: 2017-09-18T16:56:51Z
Incorrect Metric reported in MetricsReporter.scala
Current implementation for processingRate-total uses wrong metric:
mistakenly uses inputRowsPerSecond instead of processedRowsPerSecond
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