Íñigo Goiri commented on HDFS-12345:

I'm personally interested on pushing HDFS as a MapReduce job into Hadoop itself.
I've gone through that part of the code extensively and I'd like a couple 
things tweaked here and there but I like the setup.

We already have tools like GridMix so I think it makes sense to add the 
workload replayer too.
I internally have a couple MapReduce jobs that do something pretty similar so I 
could also converge into this.

To summarize, my opinion is that we should go over on how to split the work but 
I think this most of Dynanometer (if not all) should go into Hadoop.

> Scale testing HDFS NameNode with real metadata and workloads
> ------------------------------------------------------------
>                 Key: HDFS-12345
>                 URL: https://issues.apache.org/jira/browse/HDFS-12345
>             Project: Hadoop HDFS
>          Issue Type: New Feature
>          Components: namenode, test
>            Reporter: Zhe Zhang
>            Assignee: Erik Krogen
>            Priority: Major
> Dynamometer has now been open sourced on our [GitHub 
> page|https://github.com/linkedin/dynamometer]. Read more at our [recent blog 
> post|https://engineering.linkedin.com/blog/2018/02/dynamometer--scale-testing-hdfs-on-minimal-hardware-with-maximum].
> To encourage getting the tool into the open for others to use as quickly as 
> possible, we went through our standard open sourcing process of releasing on 
> GitHub. However we are interested in the possibility of donating this to 
> Apache as part of Hadoop itself and would appreciate feedback on whether or 
> not this is something that would be supported by the community.
> Also of note, previous [discussions on the dev mail 
> lists|http://mail-archives.apache.org/mod_mbox/hadoop-hdfs-dev/201707.mbox/%3c98fceffa-faff-4cf1-a14d-4faab6567...@gmail.com%3e]

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