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https://issues.apache.org/jira/browse/HADOOP-11045?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Yongjun Zhang updated HADOOP-11045:
-----------------------------------
    Description: 
File this jira to introduce a tool to detect flaky tests of hadoop jenkins test 
jobs. Certainly it can be adapted to projects other than hadoop.

I developed the tool on top of some initial work [~tlipcon] did. We find it 
quite useful. With Todd's agreement, I'd like to push it to upstream so all of 
us can share (thanks Todd for the initial work and support). I hope you find 
the tool useful too.

This tool is for hadoop contributors rather than hadoop users. Thanks [~tedyu] 
for the advice to put to dev-support dir.

Description of the tool:
{code}
#
# Given a jenkins test job, this script examines all runs of the job done
# within specified period of time (number of days prior to the execution
# time of this script), and reports all failed tests.
#
# The output of this script includes a section for each run that has failed
# tests, with each failed test name listed.
#
# More importantly, at the end, it outputs a summary section to list all failed
# tests within all examined runs, and indicate how many runs a same test
# failed, and sorted all failed tests by how many runs each test failed in.
#
# This way, when we see failed tests in PreCommit build, we can quickly tell 
# whether a failed test is a new failure or it failed before, and it may just 
# be a flaky test.
#
# Of course, to be 100% sure about the reason of a failed test, closer look 
# at the failed test for the specific run is necessary.
#
{code}

How to use the tool:
{code}
Usage: determine-flaky-tests-hadoop.py [options]

Options:
  -h, --help            show this help message and exit
  -J JENKINS_URL, --jenkins-url=JENKINS_URL
                        Jenkins URL
  -j JOB_NAME, --job-name=JOB_NAME
                        Job name to look at
  -n NUM_PREV_DAYS, --num-days=NUM_PREV_DAYS
                        Number of days to examine
{code}


  was:
File this jira to introduce a tool to detect flaky tests of hadoop jenkins test 
jobs. Certainly it can be adapted to projects other than hadoop.

I developed the tool on top of some initial work [~tlipcon] did. We find it 
quite useful. With Todd's agreement, I'd like to push it to upstream so all of 
us can share (thanks Todd for the initial work and support). I hope you find 
the tool useful too.

This is a tool for hadoop contributors rather than hadoop users. Thanks 
[~tedyu] for the advice to put to dev-support dir.

Description of the tool:
{code}
#
# Given a jenkins test job, this script examines all runs of the job done
# within specified period of time (number of days prior to the execution
# time of this script), and reports all failed tests.
#
# The output of this script includes a section for each run that has failed
# tests, with each failed test name listed.
#
# More importantly, at the end, it outputs a summary section to list all failed
# tests within all examined runs, and indicate how many runs a same test
# failed, and sorted all failed tests by how many runs each test failed in.
#
# This way, when we see failed tests in PreCommit build, we can quickly tell 
# whether a failed test is a new failure or it failed before, and it may just 
# be a flaky test.
#
# Of course, to be 100% sure about the reason of a failed test, closer look 
# at the failed test for the specific run is necessary.
#
{code}



> Introducing a tool to detect flaky tests of hadoop jenkins test job
> -------------------------------------------------------------------
>
>                 Key: HADOOP-11045
>                 URL: https://issues.apache.org/jira/browse/HADOOP-11045
>             Project: Hadoop Common
>          Issue Type: Improvement
>          Components: build, tools
>            Reporter: Yongjun Zhang
>            Assignee: Yongjun Zhang
>         Attachments: HADOOP-11045.001.patch
>
>
> File this jira to introduce a tool to detect flaky tests of hadoop jenkins 
> test jobs. Certainly it can be adapted to projects other than hadoop.
> I developed the tool on top of some initial work [~tlipcon] did. We find it 
> quite useful. With Todd's agreement, I'd like to push it to upstream so all 
> of us can share (thanks Todd for the initial work and support). I hope you 
> find the tool useful too.
> This tool is for hadoop contributors rather than hadoop users. Thanks 
> [~tedyu] for the advice to put to dev-support dir.
> Description of the tool:
> {code}
> #
> # Given a jenkins test job, this script examines all runs of the job done
> # within specified period of time (number of days prior to the execution
> # time of this script), and reports all failed tests.
> #
> # The output of this script includes a section for each run that has failed
> # tests, with each failed test name listed.
> #
> # More importantly, at the end, it outputs a summary section to list all 
> failed
> # tests within all examined runs, and indicate how many runs a same test
> # failed, and sorted all failed tests by how many runs each test failed in.
> #
> # This way, when we see failed tests in PreCommit build, we can quickly tell 
> # whether a failed test is a new failure or it failed before, and it may just 
> # be a flaky test.
> #
> # Of course, to be 100% sure about the reason of a failed test, closer look 
> # at the failed test for the specific run is necessary.
> #
> {code}
> How to use the tool:
> {code}
> Usage: determine-flaky-tests-hadoop.py [options]
> Options:
>   -h, --help            show this help message and exit
>   -J JENKINS_URL, --jenkins-url=JENKINS_URL
>                         Jenkins URL
>   -j JOB_NAME, --job-name=JOB_NAME
>                         Job name to look at
>   -n NUM_PREV_DAYS, --num-days=NUM_PREV_DAYS
>                         Number of days to examine
> {code}



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