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From "Ming Ma (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HADOOP-13065) Add a new interface for retrieving FS and FC Statistics
Date Wed, 18 May 2016 19:57:13 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-13065?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15289689#comment-15289689
] 

Ming Ma commented on HADOOP-13065:
----------------------------------

[~liuml07] [~cmccabe], yeah the perf could be an issue. Regarding moving it to ReadStatistics,
the problem is there is no easy way for MR framework to get hold of the HDFS streams used
by the application.


> Add a new interface for retrieving FS and FC Statistics
> -------------------------------------------------------
>
>                 Key: HADOOP-13065
>                 URL: https://issues.apache.org/jira/browse/HADOOP-13065
>             Project: Hadoop Common
>          Issue Type: Improvement
>          Components: fs
>            Reporter: Ram Venkatesh
>            Assignee: Mingliang Liu
>             Fix For: 2.8.0
>
>         Attachments: HADOOP-13065-007.patch, HADOOP-13065.008.patch, HADOOP-13065.009.patch,
HADOOP-13065.010.patch, HADOOP-13065.011.patch, HADOOP-13065.012.patch, HADOOP-13065.013.patch,
HDFS-10175.000.patch, HDFS-10175.001.patch, HDFS-10175.002.patch, HDFS-10175.003.patch, HDFS-10175.004.patch,
HDFS-10175.005.patch, HDFS-10175.006.patch, TestStatisticsOverhead.java
>
>
> Currently FileSystem.Statistics exposes the following statistics:
> BytesRead
> BytesWritten
> ReadOps
> LargeReadOps
> WriteOps
> These are in-turn exposed as job counters by MapReduce and other frameworks. There is
logic within DfsClient to map operations to these counters that can be confusing, for instance,
mkdirs counts as a writeOp.
> Proposed enhancement:
> Add a statistic for each DfsClient operation including create, append, createSymlink,
delete, exists, mkdirs, rename and expose them as new properties on the Statistics object.
The operation-specific counters can be used for analyzing the load imposed by a particular
job on HDFS. 
> For example, we can use them to identify jobs that end up creating a large number of
files.
> Once this information is available in the Statistics object, the app frameworks like
MapReduce can expose them as additional counters to be aggregated and recorded as part of
job summary.



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