[ML] DFA result processor should only skip rows and model chunks on c… #60113
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…ancel When the job is force-closed or shutting down due to a fatal error we clean up all cancellable job operations. This includes cancelling the results processor. However, this means that we might not persist objects that are written from the process like stats, memory usage, etc. In hindsight, we do not gain from cancelling the results processor in its entirety. It makes more sense to skip row results and model chunks but keep stats and instrumentation about the job as the latter may contain useful information to understand what happened to the job.
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… on cancel (elastic#60113) When the job is force-closed or shutting down due to a fatal error we clean up all cancellable job operations. This includes cancelling the results processor. However, this means that we might not persist objects that are written from the process like stats, memory usage, etc. In hindsight, we do not gain from cancelling the results processor in its entirety. It makes more sense to skip row results and model chunks but keep stats and instrumentation about the job as the latter may contain useful information to understand what happened to the job. Backport of elastic#60113
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… on cancel (#60113) (#60193) When the job is force-closed or shutting down due to a fatal error we clean up all cancellable job operations. This includes cancelling the results processor. However, this means that we might not persist objects that are written from the process like stats, memory usage, etc. In hindsight, we do not gain from cancelling the results processor in its entirety. It makes more sense to skip row results and model chunks but keep stats and instrumentation about the job as the latter may contain useful information to understand what happened to the job. Backport of #60113
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… on cancel (#60113) (#60194) When the job is force-closed or shutting down due to a fatal error we clean up all cancellable job operations. This includes cancelling the results processor. However, this means that we might not persist objects that are written from the process like stats, memory usage, etc. In hindsight, we do not gain from cancelling the results processor in its entirety. It makes more sense to skip row results and model chunks but keep stats and instrumentation about the job as the latter may contain useful information to understand what happened to the job. Backport of #60113
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…ancel
When the job is force-closed or shutting down due to a fatal error we clean
up all cancellable job operations. This includes cancelling the results processor.
However, this means that we might not persist objects that are written from the
process like stats, memory usage, etc.
In hindsight, we do not gain from cancelling the results processor in its
entirety. It makes more sense to skip row results and model chunks but keep
stats and instrumentation about the job as the latter may contain useful information
to understand what happened to the job.