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DatafeedJobsIT#testDatafeedTimingStats_DatafeedRecreated fails #63973

@javanna

Description

@javanna

Build scan: https://gradle-enterprise.elastic.co/s/weggtbiofm7zw/console-log?task=:x-pack:plugin:ml:qa:native-multi-node-tests:integTestRunner

Repro line: ./gradlew ':x-pack:plugin:ml:qa:native-multi-node-tests:integTestRunner' --tests "org.elasticsearch.xpack.ml.integration.DatafeedJobsIT.testDatafeedTimingStats_DatafeedRecreated" -Dtests.seed=862B982F15848C7 -Dtests.security.manager=true -Dtests.locale=ro-RO -Dtests.timezone=Africa/Mogadishu -Druntime.java=8 -Dtests.fips.enabled=true

Reproduces locally?: no

Applicable branches: any

Failure history:
This test has been failing every once in a while in the last months, hard to say when it started. Not sure why an issue was not logged, there seems to be #44335 but it's a very old one.

Failure excerpt:

 
  | org.elasticsearch.xpack.ml.integration.DatafeedJobsIT > testDatafeedTimingStats_DatafeedRecreated FAILED |  
  | java.lang.AssertionError: |  
  | Expected: a value greater than <0L> |  
  | but: <0L> was equal to <0L> |  
  | at __randomizedtesting.SeedInfo.seed([862B982F15848C7:CF35BA87409F0E03]:0) |  
  | at org.hamcrest.MatcherAssert.assertThat(MatcherAssert.java:18) |  
  | at org.junit.Assert.assertThat(Assert.java:956) |  
  | at org.junit.Assert.assertThat(Assert.java:923) |  
  | at org.elasticsearch.xpack.ml.integration.DatafeedJobsIT.assertDatafeedStats(DatafeedJobsIT.java:272) |  
  | at org.elasticsearch.xpack.ml.integration.DatafeedJobsIT.lambda$testDatafeedTimingStats_DatafeedRecreated$5(DatafeedJobsIT.java:178) |  
  | at org.elasticsearch.test.ESTestCase.assertBusy(ESTestCase.java:951) |  
  | at org.elasticsearch.xpack.ml.integration.DatafeedJobsIT.lambda$testDatafeedTimingStats_DatafeedRecreated$6(DatafeedJobsIT.java:175) |  
  | at org.elasticsearch.xpack.ml.integration.DatafeedJobsIT.testDatafeedTimingStats_DatafeedRecreated(DatafeedJobsIT.java:185)

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:mlMachine learning>test-failureTriaged test failures from CITeam:MLMeta label for the ML teammedium-riskAn open issue or test failure that is a medium risk to future releases

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