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https://issues.apache.org/jira/browse/HADOOP-15944?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17208644#comment-17208644
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Steve Loughran commented on HADOOP-15944:
-----------------------------------------
Also: let's log the full stack trace of any caught EOF when read()/ readFully()
catches an EOF and downgrades it to a -1. This will help identify where EOFs
are surfacing
> S3AInputStream logging to make it easier to debug file leakage
> --------------------------------------------------------------
>
> Key: HADOOP-15944
> URL: https://issues.apache.org/jira/browse/HADOOP-15944
> Project: Hadoop Common
> Issue Type: Sub-task
> Components: fs/s3
> Affects Versions: 3.1.1
> Reporter: Steve Loughran
> Priority: Minor
>
> Problem: if an app opens too many input streams, then all the http
> connections in the S3A pool can be used up; all attempts to do other FS
> operations fail timing out for http pool access
> Proposed simple solution: log better what's going on with input stream
> lifecyce, specifically
> # include URL of file in open, reopen & close events
> # maybe: Separate logger for these events, though S3A Input stream should be
> enough as it doesn't do much else.
> # maybe: have some prefix in the events like "Lifecycle", so that you could
> use the existing log @ debug, grep for that phrase and look at the printed
> URLs to identify what's going on
> # stream metrics: expose some of the state of the http connection pool and/or
> active input and output streams
> Idle output streams don't use up http connections, as they only connect
> during block upload.
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