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https://issues.apache.org/jira/browse/HDDS-143?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16498675#comment-16498675
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Hudson commented on HDDS-143:
-----------------------------

SUCCESS: Integrated in Jenkins build Hadoop-trunk-Commit #14339 (See 
[https://builds.apache.org/job/Hadoop-trunk-Commit/14339/])
HDDS-143. Provide docker compose files to measure performance in a (aengineer: 
rev 34710c66d61bb09ffcd5c4cb3b9c92506b272720)
* (add) hadoop-dist/src/main/compose/ozoneperf/README.md
* (add) hadoop-dist/src/main/compose/ozoneperf/compose-all.sh
* (add) hadoop-dist/src/main/compose/ozoneperf/docker-compose.yaml
* (add) hadoop-dist/src/main/compose/ozoneperf/init.sh
* (add) hadoop-dist/src/main/compose/ozoneperf/prometheus.yml
* (add) hadoop-dist/src/main/compose/ozoneperf/docker-config
* (add) hadoop-dist/src/main/compose/ozoneperf/.env
* (add) hadoop-dist/src/main/compose/ozoneperf/docker-compose-freon.yaml


> Provide docker compose files to measure performance in a pseudo cluster
> -----------------------------------------------------------------------
>
>                 Key: HDDS-143
>                 URL: https://issues.apache.org/jira/browse/HDDS-143
>             Project: Hadoop Distributed Data Store
>          Issue Type: Improvement
>          Components: Tools
>            Reporter: Elek, Marton
>            Assignee: Elek, Marton
>            Priority: Major
>             Fix For: 0.2.1
>
>         Attachments: HDDS-143.002.patch, prometheus_example.png
>
>
> Currently we have one docker-compose file to run local pseudo cluster with 
> Ozone/HDDS. But it's hard to do longer performance tests as we have no 
> metrics collector in the compose files.
> This patch provide a simple solution: it includes a prometheus server and a 
> consul component. With the init script you can download the required java 
> agent: the agent will publish jmx metrics on a prometheus compatible endpoint 
> and register the metrics endpoint in the consul. Prometheus collects the data 
> from the registered endpoints.
> More details about the usage are included in the README.md.
> I run this cluster in my development machine (SSD, 16G ram) with one freon 
> and 3 datanodes. The average rate of key creation was around 180-220 key / 
> seconds.
> The compose file could also help to check the available metrics or compare 
> performance before/after a patch.



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