RE: Increasing row retrieving speed via net8

  • From: Timur Akhmadeev <Akhmadeev@xxxxxxxxxxxxxx>
  • To: "grzegorzof@xxxxxxxxxx" <grzegorzof@xxxxxxxxxx>, "tanel@xxxxxxxxxxxxxx" <tanel@xxxxxxxxxxxxxx>
  • Date: Wed, 18 Apr 2012 09:30:43 +0000

Hi
Why do you think futex calls are your problem? JVM is multi-threaded by default 
and threads do use different system calls during their life. Doesn't mean your 
particular Net issue has anything to do with futex calls, which are, as far as 
I know, ~idle work.

Regards
Timur Akhmadeev
-----Original Message-----
From: oracle-l-bounce@xxxxxxxxxxxxx [mailto:oracle-l-bounce@xxxxxxxxxxxxx] On 
Behalf Of GG
Sent: Friday, April 13, 2012 20:02
To: tanel@xxxxxxxxxxxxxx
Cc: oracle-l@xxxxxxxxxxxxx
Subject: Re: Increasing row retrieving speed via net8

Making long story short .
After quick talk with OS Admin I got root access :) and first try was (well 
second because first I was typing rm -rf / too scary him :) :

strace -p _pid_of_pmdtm_binary -f -c

-f is a must because pmdtm makes like 19 threads and they do actual work I saw 
something like this

time spent 80% -> futex!!
                     10% poll
                         5 % read
                         5% other stuff .


so only 5% of work time socket was read and most of the time threads was 
fighting each other in somekind of concurency issue :) or feature .

So that explains why messing with sdu , socket buffers, tcp stack buffers and 
so on gave only minor changes in rows fetched per sec from that tool .

Comparing that to sqlplus , strace gives something like that:

time spent syscall
99% read
1 % write

Funny thing is You have to find 'sweet spot' when setting above net stack / 
net8 related parameters, its not about simply increasing them :).
You can observe how things are going with strace on sqlplus and checking read 
syscall arguments , and how they are changing when You messing for example with 
sdu size .
Tcpdump is quite useful and snapper of coz as we are DBAs .
Just remember with 1500 MTU You cant do much , I think jumbo frames and/or GBit 
interface is the way to go if cant afford You can do parallelizm via opening 
many connections and aggregate them in 'smart' way .
Thanks for all comments, now its time for Informatica vendor response :).

Regards
GregG



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