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From "Arpit Agarwal (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (HDFS-7129) Metrics to track usage of memory for writes
Date Tue, 30 Sep 2014 07:55:34 GMT

     [ https://issues.apache.org/jira/browse/HDFS-7129?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

Arpit Agarwal resolved HDFS-7129.
       Resolution: Fixed
    Fix Version/s: HDFS-6581
     Hadoop Flags: Reviewed

Committed to the feature branch.

Thanks for the contribution Xiaoyu and thanks Chris for help reviewing!

> Metrics to track usage of memory for writes
> -------------------------------------------
>                 Key: HDFS-7129
>                 URL: https://issues.apache.org/jira/browse/HDFS-7129
>             Project: Hadoop HDFS
>          Issue Type: Sub-task
>          Components: datanode
>    Affects Versions: HDFS-6581
>            Reporter: Arpit Agarwal
>            Assignee: Xiaoyu Yao
>             Fix For: HDFS-6581
>         Attachments: HDFS-7129.0.patch, HDFS-7129.1.patch, HDFS-7129.2.patch, HDFS-7129.3.patch
> A few metrics to evaluate feature usage and suggest improvements. Thanks to [~sureshms]
for some of these suggestions.
> # Number of times a block in memory was read (before being ejected)
> # Average block size for data written to memory tier
> # Time the block was in memory before being ejected
> # Number of blocks written to memory
> # Number of memory writes requested but not satisfied (failed-over to disk)
> # Number of blocks evicted without ever being read from memory
> # Average delay between memory write and disk write (window where a node restart could
cause data loss).
> # Replicas written to disk by lazy writer
> # Bytes written to disk by lazy writer
> # Replicas deleted by application before being persisted to disk

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