yaooqinn opened a new pull request, #43746:
URL: https://github.com/apache/spark/pull/43746

   
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   ### What changes were proposed in this pull request?
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   This PR introduces a new configuration, 
`spark.scheduler.minResourcesToSurviveRatio`, which works as:
   
   When an application encounters the maximum number of executor failures, if 
the scheduler still has sufficient resources, calculated by `live executors >= 
max number of executor * ratio`, it will not fail immediately and will give its 
best effort to finish what it started. The smaller the ratio is, the more 
tolerant the application will be to executor failures. If the value >=1, it 
means intolerant at all.
   
   ### Why are the changes needed?
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   The ExecutorFailureTracker is overly sensitive to executor failures and 
tends to overreact by terminating the application immediately upon reaching the 
threshold, regardless of whether the current resources obtained are sufficient 
or not. Since executor allocation depends on various factors such as resource 
managers, host environments, and external dependencies, it may become 
unavailable for some time. During this period, ExecutorFailureTracker may 
accumulate enough failures to mistakenly kill itself.
   Here is also an example from our prod,
   The application had been running for hours before it suddenly crashed with 
`Stage cancelled because SparkContext was shut down` and `Max number of 
executor failures (20) reached`. Meanwhile, it still had 90% of maxNumExecutors 
and was about to finish. In its final moments(< 10 secs), it only requested one 
more executor.
   
   
   The threshold of ExecutorFailureTracker is inflexible to use. It's 
pre-configured by `spark.executor.maxNumFailures` or calculated by `2 * max 
number of executor`. It does not consider the actual numbers of live executors.
   
   
   Thus, `spark.scheduler.minResourcesToSurviveRatio` is introduced to evaluate 
whether to terminate itself or leave it behind to the next round.
   
   ### Does this PR introduce _any_ user-facing change?
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   yes, new configuation
   
   ### How was this patch tested?
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   tested on yarn manually
   
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