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:mlMachine learningMachine learning>test-failureTriaged test failures from CITriaged test failures from CITeam:MLMeta label for the ML teamMeta label for the ML teammedium-riskAn open issue or test failure that is a medium risk to future releasesAn open issue or test failure that is a medium risk to future releases
Description
Build Scans:
- elasticsearch-periodic #11557 / openjdk25_checkpart4_java-matrix
- elasticsearch-pull-request #108315 / checkpart4_gpu-tests
- elasticsearch-pull-request #108206 / checkpart4_gpu-tests
Reproduction Line:
./gradlew ":x-pack:plugin:ml:qa:ml-with-security:yamlRestTest" --tests "org.elasticsearch.smoketest.MlWithSecurityIT.test {yaml=ml/sparse_vector_search/Test sparse_vector search with query vector and pruning config}" -Dtests.seed=28208656CED7A699 -Dtests.locale=es-UY -Dtests.timezone=America/Argentina/ComodRivadavia -Druntime.java=25
Applicable branches:
main
Reproduces locally?:
N/A
Failure History:
See dashboard
Failure Message:
java.lang.AssertionError: org.junit.internal.runners.model.MultipleFailureException: There were 2 errors:
java.lang.AssertionError(
Expected: <3>
but: was <4>)
java.lang.AssertionError(field [hits.hits.0._score] doesn't match the expected value
Expected: <6.0>
but: was <7.0>)
Issue Reasons:
- [main] 3 failures in test test {yaml=ml/sparse_vector_search/Test sparse_vector search with query vector and pruning config} (1.7% fail rate in 179 executions)
- [main] 2 failures in step checkpart4_gpu-tests (40.0% fail rate in 5 executions)
- [main] 2 failures in pipeline elasticsearch-pull-request (2.3% fail rate in 88 executions)
Note:
This issue was created using new test triage automation. Please report issues or feedback to es-delivery.
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:mlMachine learningMachine learning>test-failureTriaged test failures from CITriaged test failures from CITeam:MLMeta label for the ML teamMeta label for the ML teammedium-riskAn open issue or test failure that is a medium risk to future releasesAn open issue or test failure that is a medium risk to future releases