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https://issues.apache.org/jira/browse/HADOOP-18521?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17640155#comment-17640155
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ASF GitHub Bot commented on HADOOP-18521:
-----------------------------------------

steveloughran commented on code in PR #5117:
URL: https://github.com/apache/hadoop/pull/5117#discussion_r1033835902


##########
hadoop-tools/hadoop-azure/src/test/resources/log4j.properties:
##########
@@ -26,6 +26,8 @@ 
log4j.logger.org.apache.hadoop.fs.azure.AzureFileSystemThreadPoolExecutor=DEBUG
 log4j.logger.org.apache.hadoop.fs.azure.BlockBlobAppendStream=DEBUG
 
log4j.logger.org.apache.hadoop.fs.azurebfs.contracts.services.TracingService=TRACE
 log4j.logger.org.apache.hadoop.fs.azurebfs.services.AbfsClient=DEBUG
+log4j.logger.org.apache.hadoop.fs.azurebfs.services.ReadBufferManager=TRACE

Review Comment:
   it was...but we run the rest of the tests logging at debug, and i don't see 
the prefetcher being any chattier than the rest of the stack.





> 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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