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https://issues.apache.org/jira/browse/HDFS-11789?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16048517#comment-16048517
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Arpit Agarwal commented on HDFS-11789:
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Thanks for updating the patch [~hanishakoneru]. A few comments:
# Typos in {{SHORT_CIRCUIT_READ_LATECNY_METRIC_REGISTERD_NAME}}.
# The test-only method {{getShortCircuitReadRollingAverages}} should be tagged 
with {{\@VisibleForTesting}}.
# I think we can eliminate the METRICS_SAMPLING_PERCENTAGE_KEY config key. We 
can enable the metric when the sampling percentage is > 0.
# Let's avoid static initialization of {{BlockReaderLocal#metrics}}. One issue 
is that adding the overhead of a MutableRollingAverages object (and its rates 
roller thread) for all clients, most of which may will never enable SCR 
statistics. I think your original approach of initializing it within a lock on 
construction was fine, the overhead of that lock compared to the overhead of 
cloning a file descriptor via system calls should be minimal.

Still reviewing the tests.

> Maintain Short-Circuit Read Statistics
> --------------------------------------
>
>                 Key: HDFS-11789
>                 URL: https://issues.apache.org/jira/browse/HDFS-11789
>             Project: Hadoop HDFS
>          Issue Type: Improvement
>          Components: hdfs-client
>            Reporter: Hanisha Koneru
>            Assignee: Hanisha Koneru
>         Attachments: HDFS-11789.001.patch, HDFS-11789.002.patch
>
>
> If a disk or controller hardware is faulty then short-circuit read requests 
> can stall indefinitely while reading from the file descriptor. Currently 
> there is no way to detect when short-circuit read requests are slow or 
> blocked. 
> This Jira proposes that each BlockReaderLocal maintain read statistics while 
> it is active by measuring the time taken for a pre-determined fraction of 
> read requests. These per-reader stats can be aggregated into global stats 
> when the reader is closed. The aggregate statistics can be exposed via JMX.



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