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Posted to commits@doris.apache.org by "bobhan1 (via GitHub)" <gi...@apache.org> on 2026/05/11 07:57:16 UTC

[PR] branch-4.0: [fix](cloud) Skip skewed warmup rowset latency samples (#62941) [doris]

bobhan1 opened a new pull request, #63132:
URL: https://github.com/apache/doris/pull/63132

   pick https://github.com/apache/doris/pull/62941
   
   Issue Number: None
   
   Problem Summary: CORE-6051 reports negative file_cache_warm_up_rowset_request_to_handle_ samples. The request timestamp is produced on the caller BE while handle and finish timestamps are produced on the target BE, so cross-host wall-clock skew can make the interval negative and bvar drops it. Skip cross-host latency samples when the request timestamp is missing or later than the local timestamp.
   
   Release note: Fix file cache warm-up rowset latency metrics to skip invalid cross-BE clock-skew samples.
   
   ### What problem does this PR solve?
   
   Issue Number: close #xxx
   
   Related PR: #xxx
   
   Problem Summary:
   
   ### Release note
   
   None
   
   ### Check List (For Author)
   
   - Test <!-- At least one of them must be included. -->
       - [ ] Regression test
       - [ ] Unit Test
       - [ ] Manual test (add detailed scripts or steps below)
       - [ ] No need to test or manual test. Explain why:
           - [ ] This is a refactor/code format and no logic has been changed.
           - [ ] Previous test can cover this change.
           - [ ] No code files have been changed.
           - [ ] Other reason <!-- Add your reason?  -->
   
   - Behavior changed:
       - [ ] No.
       - [ ] Yes. <!-- Explain the behavior change -->
   
   - Does this need documentation?
       - [ ] No.
       - [ ] Yes. <!-- Add document PR link here. eg: https://github.com/apache/doris-website/pull/1214 -->
   
   ### Check List (For Reviewer who merge this PR)
   
   - [ ] Confirm the release note
   - [ ] Confirm test cases
   - [ ] Confirm document
   - [ ] Add branch pick label <!-- Add branch pick label that this PR should merge into -->
   
   


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Re: [PR] branch-4.0: [fix](cloud) Skip skewed warmup rowset latency samples (#62941) [doris]

Posted by "hello-stephen (via GitHub)" <gi...@apache.org>.
hello-stephen commented on PR #63132:
URL: https://github.com/apache/doris/pull/63132#issuecomment-4420028826

   # BE Regression && UT Coverage Report
   Increment line coverage `0.00% (0/38)` :tada:
   
   [Increment coverage report](http://coverage.selectdb-in.cc/coverage/63132_703d8ff271ad55d9057928aa0167a4fad2fc111d_merge/increment_report/index.html)
   [Complete coverage report](http://coverage.selectdb-in.cc/coverage/63132_703d8ff271ad55d9057928aa0167a4fad2fc111d_merge/report/index.html)
   | Category          | Coverage           |
   |-------------------|--------------------|
   | Function Coverage | 71.45% (25485/35669) |
   | Line Coverage     | 54.24% (269730/497304) |
   | Region Coverage   | 51.81% (223247/430927) |
   | Branch Coverage   | 53.17% (95981/180521) |


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Re: [PR] branch-4.0: [fix](cloud) Skip skewed warmup rowset latency samples (#62941) [doris]

Posted by "bobhan1 (via GitHub)" <gi...@apache.org>.
bobhan1 commented on PR #63132:
URL: https://github.com/apache/doris/pull/63132#issuecomment-4418632158

   run buildall


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Re: [PR] branch-4.0: [fix](cloud) Skip skewed warmup rowset latency samples (#62941) [doris]

Posted by "morningman (via GitHub)" <gi...@apache.org>.
morningman merged PR #63132:
URL: https://github.com/apache/doris/pull/63132


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Re: [PR] branch-4.0: [fix](cloud) Skip skewed warmup rowset latency samples (#62941) [doris]

Posted by "hello-stephen (via GitHub)" <gi...@apache.org>.
hello-stephen commented on PR #63132:
URL: https://github.com/apache/doris/pull/63132#issuecomment-4418615991

   
   Thank you for your contribution to Apache Doris.
   Don't know what should be done next? See [How to process your PR](https://cwiki.apache.org/confluence/display/DORIS/How+to+process+your+PR).
   
   Please clearly describe your PR:
   1. What problem was fixed (it's best to include specific error reporting information). How it was fixed.
   2. Which behaviors were modified. What was the previous behavior, what is it now, why was it modified, and what possible impacts might there be.
   3. What features were added. Why was this function added?
   4. Which code was refactored and why was this part of the code refactored?
   5. Which functions were optimized and what is the difference before and after the optimization?
       


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