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https://issues.apache.org/jira/browse/HBASE-4821?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13261981#comment-13261981
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Roman Shaposhnik commented on HBASE-4821:
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@Enis, @Jon, yes you'd have to provide knobs in the tests as to what the
desired data size is. TestLoadAndVerify already does that and all the others
should follow.
> A fully automated comprehensive distributed integration test for HBase
> ----------------------------------------------------------------------
>
> Key: HBASE-4821
> URL: https://issues.apache.org/jira/browse/HBASE-4821
> Project: HBase
> Issue Type: Improvement
> Reporter: Mikhail Bautin
> Assignee: Mikhail Bautin
> Priority: Critical
>
> To properly verify that a particular version of HBase is good for production
> deployment we need a better way to do real cluster testing after incremental
> changes. Running unit tests is good, but we also need to deploy HBase to a
> cluster, run integration tests, load tests, Thrift server tests, kill some
> region servers, kill the master, and produce a report. All of this needs to
> happen in 20-30 minutes with minimal manual intervention. I think this way we
> can combine agile development with high stability of the codebase. I am
> envisioning a high-level framework written in a scripting language (e.g.
> Python) that would abstract external operations such as "deploy to test
> cluster", "kill a particular server", "run load test A", "run load test B"
> (we already have a few kinds of load tests implemented in Java, and we could
> write a Thrift load test in Python). This tool should also produce
> intermediate output, allowing to catch problems early and restart the test.
> No implementation has yet been done. Any ideas or suggestions are welcome.
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