Hi,

Thanks very much for the sharing.
Really interesting data.

I just have a stupid question:
Your workload is “wordcount”, right ?
Why “rename” would happen ??

Thanks.
-chen

From: Johnson MDevadoss [mailto:johnson.mdevad...@gmail.com]
Sent: Wednesday, March 25, 2015 6:04 AM
To: Dariusz Chrząścik
Cc: openstack@lists.openstack.org
Subject: Re: [Openstack] [Sahara] Swift performance

We had identified a problem of running MapReduce on top of Swift mainly on the 
objects that cannot be renamed without a data copy. Also, there are some 
significant impact on job completion time for large input data and latency 
sensitive jobs.


You can refer the following research paper which talks about performance study 
on swift & Hadoop.



http://sc14.supercomputing.org/sites/all/themes/sc14/files/archive/tech_poster/poster_files/post192s2-file2.pdf

On Mar 23, 2015, at 2:17 PM, Dariusz Chrząścik 
<dari...@chrzascik.com<mailto:dari...@chrzascik.com>> wrote:
Hello,

In my Sahara deployment, I am considering using a swift as an input/output data 
store. However, I am wondering if swift is eligible for big data processing. 
Does anyone have some experiences with such configuration? Is it efficient? Can 
you possibly point me to any articles, reports that compare hdfs performance 
with swift when running Hadoop Jobs over it? I have done some research in that 
matter but without success. I'd be grateful for any piece of advice.

Regards,
Dariusz Chrząścik

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