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From: aaron morton <aaron@thelastpickle.com>
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Subject: Re: Several 'TimedOutException' in stress.py
Date: Wed, 9 Mar 2011 09:22:59 +1300
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Is this a client side time out or a server side one? What does the error =
stack look like ?

Also check the server side logs for errors. The thrift API will raise a =
timeout when less the CL level of nodes return in rpc_timeout.=20

Good luck=20
Aaron

On 9/03/2011, at 7:37 AM, ruslan usifov wrote:

>=20
>=20
> 2011/3/8 A J <s5alye@gmail.com>
> Trying out stress.py on AWS EC2 environment (4 Large instances. Each
> of 2-cores and 7.5GB RAM. All in the same region/zone.)
>=20
> python stress.py -o insert  -d
> 10.253.203.224,10.220.203.48,10.220.17.84,10.124.89.81 -l 2 -e ALL -t
> 10 -n 500 -S 1000000 -k
>=20
> (I want to try with column size of about 1MB. I am assuming the above
> gives me 10 parallel threads each executing 50 inserts sequentially
> (500/10) ).
>=20
> Getting several timeout errors.TimedOutException(). With just 10
> concurrent writes spread across 4 nodes, kind of surprised to get so
> many timeouts. Any suggestions ?
>=20
>=20
>=20
> It may by EC2 disc speed degradation (io speed of EC2 instances doesnt =
const, also can vary in greater limits)


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<html><head></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Is this a client side time out or a server side one? What does the error stack look like ?<div><br></div><div>Also check the server side logs for errors. The thrift API will raise a timeout when less the CL level of nodes return in rpc_timeout.&nbsp;</div><div><br></div><div>Good luck&nbsp;</div><div>Aaron</div><div><br><div><div>On 9/03/2011, at 7:37 AM, ruslan usifov wrote:</div><br class="Apple-interchange-newline"><blockquote type="cite"><br><br><div class="gmail_quote">2011/3/8 A J <span dir="ltr">&lt;<a href="mailto:s5alye@gmail.com">s5alye@gmail.com</a>&gt;</span><br><blockquote class="gmail_quote" style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0.8ex; border-left-width: 1px; border-left-color: rgb(204, 204, 204); border-left-style: solid; padding-left: 1ex; position: static; z-index: auto; ">
Trying out stress.py on AWS EC2 environment (4 Large instances. Each<br>
of 2-cores and 7.5GB RAM. All in the same region/zone.)<br>
<br>
python stress.py -o insert &nbsp;-d<br>
10.253.203.224,10.220.203.48,10.220.17.84,10.124.89.81 -l 2 -e ALL -t<br>
10 -n 500 -S 1000000 -k<br>
<br>
(I want to try with column size of about 1MB. I am assuming the above<br>
gives me 10 parallel threads each executing 50 inserts sequentially<br>
(500/10) ).<br>
<br>
Getting several timeout errors.TimedOutException(). With just 10<br>
concurrent writes spread across 4 nodes, kind of surprised to get so<br>
many timeouts. Any suggestions ?<br>
<br></blockquote><div><br><br></div></div>It may by EC2 disc speed degradation (io speed of EC2 instances doesnt const, also can vary in greater limits)<br>
</blockquote></div><br></div></body></html>
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