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https://issues.apache.org/jira/browse/HDFS-10175?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mingliang Liu updated HDFS-10175:
---------------------------------
    Attachment: HDFS-10175.000.patch

Thanks for creating this jira, [~venkateshrin].

The v0 patch is the initial effort according to the offline discussion with 
[~jnp]. More specifically, it:

# Creates enum {{OpStatistic}} in the {{FileSystem#Statistics}} class and 
supporting methods
# Updates the enum for every operation call in {{DistributedFileSystem}}
# Tries to cover S3A file system, but probably not correct
# Updates the unit test for testing this

Any comment /discussion is welcome.

> add per-operation stats to FileSystem.Statistics
> ------------------------------------------------
>
>                 Key: HDFS-10175
>                 URL: https://issues.apache.org/jira/browse/HDFS-10175
>             Project: Hadoop HDFS
>          Issue Type: Improvement
>          Components: hdfs-client
>            Reporter: Ram Venkatesh
>            Assignee: Mingliang Liu
>         Attachments: HDFS-10175.000.patch
>
>
> 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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