JMX interfaces are fine, too.

Thank you,

Gunnar

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Download<https://vertica.hpwsportal.com/#/Category/%7B%22categoryId%22%3A10185%7D/Show>

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From: Jain, Rohit (Trafodion)
Sent: Wednesday, February 11, 2015 11:54 AM
To: Nick Dimiduk; dev@phoenix.apache.org
Cc: Tapper, Gunnar
Subject: RE: Phoenix monitoring

Thanks Nick!  Yes Data Services Manager (DSM) does provide the kind of 
perspective Pari is looking for but not for Phoenix.  Actually, if Phoenix is 
providing metrics and information in a repository or via a REST interface, on 
queries, elapsed times, etc. then certainly it could be incorporated into DSM.  
Trafodion is doing that now in R1.0 and we are working on having DSM provide 
full support for Trafodion along with complete support for HBase (some of it 
being already there), in order to provide a comprehensive view of all workloads 
from HDFS, HBase, to SQL.  We did have plans to provide a SDK so that data 
services like Phoenix could be easily plugged into DSM.  Not a hard task – just 
time and effort ☺.

If Pari is interested, we can certainly demo the tool and go from there based 
on interest.

Rohit

From: Nick Dimiduk [mailto:ndimi...@gmail.com]
Sent: Wednesday, February 11, 2015 9:01 AM
To: dev@phoenix.apache.org<mailto:dev@phoenix.apache.org>
Cc: Jain, Rohit (Trafodion)
Subject: Re: Phoenix monitoring

Hi Pari,

I'm not aware of a Phoenix-aware, end-to-end solution here. You can probably 
write a custom collector for a Phenox application that can report into 
OpenTSDB; I think JDBC metrics are available via JMX. That would be a great 
addition for that project!

I've also seen a product demo from HP that does a lot of this for other tools 
on HBase, though I don't think it supports Phoenix yet (cc Rohit).

Thanks,
Nick

On Wednesday, February 11, 2015, Pariksheet Barapatre 
<pbarapa...@gmail.com<mailto:pbarapa...@gmail.com>> wrote:
Hello All,

Can you suggest good monitoring tool for phoenix. Our QA hbase cluster is
crashing randomly. We wanted to know stats like which query causing the
issue and how many queries running on that particular time window, resource
consumption of query etc.

Cheers
Pari

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