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https://issues.apache.org/jira/browse/CASSANDRA-15537?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17204316#comment-17204316
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Paulo Motta commented on CASSANDRA-15537:
-----------------------------------------

Awesome, thanks for the update [~yifanc]. I've set the ticket to "In progress" 
to reflect its status.

 

I also added the tickets you mentioned as "related". Though the proper 
relationship type would be "Found while testing", do you know how easy is to 
add a new JIRA relationship state [~brandon.williams] (pinging you because I've 
recall you fixing JIRA workflow issues before but I can't remember how to do 
it)?

> 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
>
>
> 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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