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https://issues.apache.org/jira/browse/MAPREDUCE-6931?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16122346#comment-16122346
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Konstantin Shvachko commented on MAPREDUCE-6931:
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[~dennishuo] I agree that "Total Throughput" metric highly depends on how you
run the job. This is exactly the point that it makes it a Mapreduce metric, not
HDFS. One can go to Yarn UI and divide HDFS bytes written by the job time for
any job, but it does not measure HDFS write operation.
I think we should just remove it.
> Fix TestDFSIO "Total Throughput" calculation
> --------------------------------------------
>
> Key: MAPREDUCE-6931
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-6931
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: benchmarks, test
> Affects Versions: 2.8.0
> Reporter: Dennis Huo
> Priority: Trivial
>
> The new "Total Throughput" line added in
> https://issues.apache.org/jira/browse/HDFS-9153 is currently calculated as
> {{toMB(size) / ((float)execTime)}} and claims to be in units of "MB/s", but
> {{execTime}} is in milliseconds; thus, the reported number is 1/1000x the
> actual value:
> {code:java}
> String resultLines[] = {
> "----- TestDFSIO ----- : " + testType,
> " Date & time: " + new Date(System.currentTimeMillis()),
> " Number of files: " + tasks,
> " Total MBytes processed: " + df.format(toMB(size)),
> " Throughput mb/sec: " + df.format(size * 1000.0 / (time *
> MEGA)),
> "Total Throughput mb/sec: " + df.format(toMB(size) /
> ((float)execTime)),
> " Average IO rate mb/sec: " + df.format(med),
> " IO rate std deviation: " + df.format(stdDev),
> " Test exec time sec: " + df.format((float)execTime / 1000),
> "" };
> {code}
> The different calculated fields can also use toMB and a shared
> milliseconds-to-seconds conversion to make it easier to keep units consistent.
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