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https://issues.apache.org/jira/browse/HBASE-12133?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14156970#comment-14156970
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Yi Deng commented on HBASE-12133:
---------------------------------
[~stack] Did it break the compiling on Jenkins?
[ERROR] Failed to execute goal
org.apache.maven.plugins:maven-compiler-plugin:2.5.1:testCompile
(default-testCompile) on project hbase-common: Compilation failure: Compilation
failure:
[ERROR]
/home/jenkins/jenkins-slave/workspace/HBase-TRUNK/hbase-common/src/test/java/org/apache/hadoop/hbase/util/TestFastLongHistogram.java:[23,30]
error: cannot find symbol
[ERROR] symbol: class SmallTests
[ERROR] location: package org.apache.hadoop.hbase
[ERROR]
/home/jenkins/jenkins-slave/workspace/HBase-TRUNK/hbase-common/src/test/java/org/apache/hadoop/hbase/util/TestFastLongHistogram.java:[31,12]
error: cannot find symbol
[ERROR] -> [Help 1]
[ERROR]
[ERROR] To see the full stack trace of the errors, re-run Maven with the -e
switch.
[ERROR] Re-run Maven using the -X switch to enable full debug logging.
[ERROR]
[ERROR] For more information about the errors and possible solutions, please
read the following articles:
[ERROR] [Help 1]
http://cwiki.apache.org/confluence/display/MAVEN/MojoFailureException
[ERROR]
[ERROR] After correcting the problems, you can resume the build with the command
[ERROR] mvn <goals> -rf :hbase-common
> Add FastLongHistogram for metric computation
> --------------------------------------------
>
> Key: HBASE-12133
> URL: https://issues.apache.org/jira/browse/HBASE-12133
> Project: HBase
> Issue Type: New Feature
> Components: metrics
> Affects Versions: 0.98.8
> Reporter: Yi Deng
> Assignee: Yi Deng
> Priority: Minor
> Labels: histogram, metrics
> Fix For: 2.0.0, 0.99.1
>
> Attachments:
> 0001-Add-FastLongHistogram-for-fast-histogram-estimation.patch,
> 0001-Add-FastLongHistogram-for-fast-histogram-estimation.patch,
> 0001-Add-FastLongHistogram-for-fast-histogram-estimation.patch
>
>
> FastLongHistogram is a thread-safe class that estimate distribution of data
> and computes the quantiles. It's useful for computing aggregated metrics like
> P99/P95.
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