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https://issues.apache.org/jira/browse/HADOOP-8541?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13412712#comment-13412712
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Hudson commented on HADOOP-8541:
--------------------------------
Integrated in Hadoop-Hdfs-trunk #1101 (See
[https://builds.apache.org/job/Hadoop-Hdfs-trunk/1101/])
HADOOP-8541. Better high-percentile latency metrics. Contributed by Andrew
Wang. (Revision 1360501)
Result = FAILURE
atm : http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1360501
Files :
* /hadoop/common/trunk/hadoop-common-project/hadoop-common/CHANGES.txt
*
/hadoop/common/trunk/hadoop-common-project/hadoop-common/dev-support/findbugsExcludeFile.xml
*
/hadoop/common/trunk/hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/metrics2/lib/MetricsRegistry.java
*
/hadoop/common/trunk/hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/metrics2/lib/MutableQuantiles.java
*
/hadoop/common/trunk/hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/metrics2/util/Quantile.java
*
/hadoop/common/trunk/hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/metrics2/util/SampleQuantiles.java
*
/hadoop/common/trunk/hadoop-common-project/hadoop-common/src/test/java/org/apache/hadoop/metrics2/lib/TestMutableMetrics.java
*
/hadoop/common/trunk/hadoop-common-project/hadoop-common/src/test/java/org/apache/hadoop/metrics2/util/TestSampleQuantiles.java
> Better high-percentile latency metrics
> --------------------------------------
>
> Key: HADOOP-8541
> URL: https://issues.apache.org/jira/browse/HADOOP-8541
> Project: Hadoop Common
> Issue Type: Improvement
> Components: metrics
> Affects Versions: 2.0.0-alpha
> Reporter: Andrew Wang
> Assignee: Andrew Wang
> Fix For: 2.0.1-alpha
>
> Attachments: hadoop-8541-1.patch, hadoop-8541-2.patch,
> hadoop-8541-3.patch, hadoop-8541-4.patch, hadoop-8541-5.patch,
> hadoop-8541-6.patch
>
>
> Based on discussion in HBASE-6261 and with some HDFS devs, I'd like to make
> better high-percentile latency metrics a part of hadoop-common.
> I've already got a working implementation of [1], an efficient algorithm for
> estimating quantiles on a stream of values. It allows you to specify
> arbitrary quantiles to track (e.g. 50th, 75th, 90th, 95th, 99th), along with
> tight error bounds. This estimator can be snapshotted and reset periodically
> to get a feel for how these percentiles are changing over time.
> I propose creating a new MutableQuantiles class that does this. [1] isn't
> completely without overhead (~1MB memory for reasonably sized windows), which
> is why I hesitate to add it to the existing MutableStat class.
> [1] Cormode, Korn, Muthukrishnan, and Srivastava. "Effective Computation of
> Biased Quantiles over Data Streams" in ICDE 2005.
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