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https://issues.apache.org/jira/browse/SPARK-33841?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-33841:
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Affects Version/s: 3.2.0
3.1.0
> Jobs disappear intermittently from the SHS under high load
> ----------------------------------------------------------
>
> Key: SPARK-33841
> URL: https://issues.apache.org/jira/browse/SPARK-33841
> Project: Spark
> Issue Type: Task
> Components: Spark Core
> Affects Versions: 3.0.0, 3.0.1, 3.1.0, 3.2.0
> Environment: SHS is running locally on Ubuntu 19.04
>
> Reporter: Vladislav Glinskiy
> Assignee: Vladislav Glinskiy
> Priority: Major
> Fix For: 3.1.0, 3.2.0
>
>
> Ran into an issue when a particular job was displayed in the SHS and
> disappeared after some time, but then, in several minutes showed up again.
> The issue is caused by SPARK-29043, which is designated to improve the
> concurrent performance of the History Server. The
> [change|https://github.com/apache/spark/pull/25797/files#] breaks the ["app
> deletion"
> logic|https://github.com/apache/spark/pull/25797/files#diff-128a6af0d78f4a6180774faedb335d6168dfc4defff58f5aa3021fc1bd767bc0R563]
> because of missing proper synchronization for {{processing}} event log
> entries. Since SHS now [filters
> out|https://github.com/apache/spark/pull/25797/files#diff-128a6af0d78f4a6180774faedb335d6168dfc4defff58f5aa3021fc1bd767bc0R462]
> all {{processing}} event log entries, such entries do not have a chance to
> be [updated with the new
> {{lastProcessed}}|https://github.com/apache/spark/pull/25797/files#diff-128a6af0d78f4a6180774faedb335d6168dfc4defff58f5aa3021fc1bd767bc0R472]
> time and thus any entity that completes processing right after
> [filtering|https://github.com/apache/spark/pull/25797/files#diff-128a6af0d78f4a6180774faedb335d6168dfc4defff58f5aa3021fc1bd767bc0R462]
> and before [the check for stale
> entities|https://github.com/apache/spark/pull/25797/files#diff-128a6af0d78f4a6180774faedb335d6168dfc4defff58f5aa3021fc1bd767bc0R560]
> will be identified as stale and will be deleted from the UI until the next
> {{checkForLogs}} run. This is because [updated {{lastProcessed}} time is used
> as
> criteria|https://github.com/apache/spark/pull/25797/files#diff-128a6af0d78f4a6180774faedb335d6168dfc4defff58f5aa3021fc1bd767bc0R557],
> and event log entries that missed to be updated with a new time, will match
> that criteria.
> The issue can be reproduced by generating a big number of event logs and
> uploading them to the SHS event log directory on S3. Essentially, around
> 800(82.6 MB) copies of an event log file were created using
> [shs-monitor|https://github.com/vladhlinsky/shs-monitor] script. Strange
> behavior of SHS counting the total number of applications was noticed - at
> first, the number was increasing as expected, but with the next page refresh,
> the total number of applications decreased. No errors were logged by SHS.
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