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https://issues.apache.org/jira/browse/CASSANDRA-15537?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17206486#comment-17206486
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Josh McKenzie commented on CASSANDRA-15537:
-------------------------------------------

{quote}The diff tool is open sourced. It would be great if others can run diff 
on their clusters. People should have restore functionality in their automation
{quote}
Yep! Big help; should have something for the community soon there.

As for the "keep this open until GA", makes complete sense. Also true for 
another ticket so we should codify that somehow and exclude from our collective 
kanban / view of scope. Thanks for the clarification.

> 4.0 quality testing: Local Read/Write Path: Upgrade and Diff Test
> -----------------------------------------------------------------
>
>                 Key: CASSANDRA-15537
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-15537
>             Project: Cassandra
>          Issue Type: Task
>          Components: Test/dtest/java, Test/dtest/python
>            Reporter: Josh McKenzie
>            Assignee: Yifan Cai
>            Priority: Normal
>             Fix For: 4.0-beta, 4.0-triage
>
>
> Reference [doc from 
> NGCC|https://docs.google.com/document/d/1uhUOp7wpE9ZXNDgxoCZHejHt5SO4Qw1dArZqqsJccyQ/edit#]
>  for context.
> Execution of upgrade and diff tests via cassandra-diff have proven to be one 
> of the most effective approaches toward identifying issues with the local 
> read/write path. These include instances of data loss, data corruption, data 
> resurrection, incorrect responses to queries, incomplete responses, and 
> others. Upgrade and diff tests can be executed concurrent with fault 
> injection (such as host or network failure); as well as during mixed-version 
> scenarios (such as upgrading half of the instances in a cluster, and running 
> upgradesstables on only half of the upgraded instances).
> Upgrade and diff tests are expected to continue through the release cycle, 
> and are a great way for contributors to gain confidence in the correctness of 
> the database under their own workloads.



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