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https://issues.apache.org/jira/browse/HADOOP-18521?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17645309#comment-17645309
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Steve Loughran commented on HADOOP-18521:
-----------------------------------------
We have a nice and minimal fix which can be easily backported anywhere that is
needed.
That larger patch of mine was intended to
# avoid adding the prefetches of closed streams to the completed list (impact:
buffers will be retained until timeout)
# add validation about accidental buffer reuse
# handle failures in the async read caused by the close()
# iostatistics for production code and testing. used in asserts and will allow
us to assess value of prefetching in production code
# pulling out of the methods invoked on abfs input stream into their own
interface, again for testing.
we don't need this as much any more; it's something where I would like most of
the features (1, 3, 4, 5) in, but we could look at that in terms of a broader
review of the readbuffer feature
I'm going to
rebase my pr
create a new jira for "extend readbuffer for testing/statistics" and move the
pr to that
> ABFS ReadBufferManager buffer sharing across concurrent HTTP requests
> ---------------------------------------------------------------------
>
> Key: HADOOP-18521
> URL: https://issues.apache.org/jira/browse/HADOOP-18521
> Project: Hadoop Common
> Issue Type: Bug
> Components: fs/azure
> Affects Versions: 3.3.2, 3.3.3, 3.3.4
> Reporter: Steve Loughran
> Assignee: Steve Loughran
> Priority: Critical
> Labels: pull-request-available
>
> AbfsInputStream.close() can trigger the return of buffers used for active
> prefetch GET requests into the ReadBufferManager free buffer pool.
> A subsequent prefetch by a different stream in the same process may acquire
> this same buffer. This can lead to risk of corruption of its own prefetched
> data, data which may then be returned to that other thread.
> On releases without the fix for this (3.3.2+), the bug can be avoided by
> disabling all prefetching
> {code}
> fs.azure.readaheadqueue.depth = 0
> {code}
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