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https://issues.apache.org/jira/browse/HDDS-15501?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ivan Andika updated HDDS-15501:
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Issue Type: Test (was: New Feature)
> Distributed System Testing in Ozone
> -----------------------------------
>
> Key: HDDS-15501
> URL: https://issues.apache.org/jira/browse/HDDS-15501
> Project: Apache Ozone
> Issue Type: Test
> Components: test
> Reporter: Ivan Andika
> Assignee: Ivan Andika
> Priority: Major
>
> Currently, we only test Ozone using the traditional UT, IT, Acceptance Tests.
> We had a MiniOzoneChaosCluster (fault injection testing), but it seems
> unused. I propose to introduce a distributed system testing and proofs system
> so that we can have the Ozone spec as the shared mental model. Some of the
> regressions for issues like breaking majority commit contract (HDDS-15052) is
> not detected since we don't have the spec as the source of truth.
> Additionally sometimes simply we use our intuitions to guide our
> implementation and fixes.
> This is a parent task for the effort to introduce distributed system testing
> and proofs to test the correctness of Ozone implementation (e.g. partial
> write commit, container state transitions, quasi closed, etc).
> Distributed system testing tools:
> - Jepsen, Ellen, Maelstorm
> - Fray
> - Hypothesis (Hegel)
> - Antithesis (paid)
> Distributed system proofs:
> - TLA+
> - Lean4
> - P framework
> Real systems
> - 3FS (https://github.com/deepseek-ai/3FS/tree/main/specs) - uses P framework
> - AWS S3
> (https://cacm.acm.org/practice/systems-correctness-practices-at-amazon-web-services/
> and https://p-org.github.io/P/casestudies/#case-studies)
> - etcd robustness test
> (https://github.com/etcd-io/etcd/tree/main/tests/robustness) - Uses
> antithesis (among other things)
> I prefer if we can start with P framework since some storage systems already
> used it.
> Having a real industry-recognized spec helps to instil confidence in Ozone
> robustness.
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