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https://issues.apache.org/jira/browse/SPARK-21762?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-21762:
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Priority: Major (was: Minor)
> FileFormatWriter/BasicWriteTaskStatsTracker metrics collection fails if a new
> file isn't yet visible
> ----------------------------------------------------------------------------------------------------
>
> Key: SPARK-21762
> URL: https://issues.apache.org/jira/browse/SPARK-21762
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.0
> Environment: object stores without complete creation consistency
> (this includes AWS S3's caching of negative GET results)
> Reporter: Steve Loughran
>
> The metrics collection of SPARK-20703 can trigger premature failure if the
> newly written object isn't actually visible yet, that is if, after
> {{writer.close()}}, a {{getFileStatus(path)}} returns a
> {{FileNotFoundException}}.
> Strictly speaking, not having a file immediately visible goes against the
> fundamental expectations of the Hadoop FS APIs, namely full consistent data &
> medata across all operations, with immediate global visibility of all
> changes. However, not all object stores make that guarantee, be it only newly
> created data or updated blobs. And so spurious FNFEs can get raised, ones
> which *should* have gone away by the time the actual task is committed. Or if
> they haven't, the job is in such deep trouble.
> What to do?
> # leave as is: fail fast & so catch blobstores/blobstore clients which don't
> behave as required. One issue here: will that trigger retries, what happens
> there, etc, etc.
> # Swallow the FNFE and hope the file is observable later.
> # Swallow all IOEs and hope that whatever problem the FS has is transient.
> Options 2 & 3 aren't going to collect metrics in the event of a FNFE, or at
> least, not the counter of bytes written.
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