Sorry I was looking into some other things...now I got back to this..

How do we determine if disk io is capped?

I do see disk io is varying (up and down from 40kb- 200kb and occasionally 
shoots up to 950kb) all the time when I observed windows resource monitor.

-Sri

On Friday, November 2, 2012 2:23:03 PM UTC-7, Kartweel wrote:
>
>  Hi,
>
> Makes sense to me. If cpu isn't the issue (which I doubt it would be in a 
> database, but maybe the encryption adds a lot of overhead?) then adding 
> more threads would increase the time proportionally + synchronisation 
> overhead. Also there would be more work for the disk seeking between all 
> the different locations.
>
> So are you saying that disk io is increasing with each thread you add? or 
> is it capped? both bandwidth and iops ?
>
> On 3/11/2012 4:44 AM, Sri wrote:
>  
> Disk IO looks good too...can't seem to find what is the issue...
>
> On Thursday, November 1, 2012 2:36:21 PM UTC-7, Kartweel wrote: 
>>
>> How about disk io?, usually the disk is the bottleneck. 
>>
>> On 2/11/2012 3:44 AM, Sri wrote: 
>> > Hi, 
>> > 
>> > I am running H2 DB in server mode and using it for read only. It's 
>> > been performing very good with single user/thread and the performance 
>> > is getting degraded as I add more concurrent users/threads. 
>> > 
>> > Single user/thread --> about 100ms 
>> > 10 users/threads  --> about  230ms 
>> > 15 users/threads  --> about  320ms 
>> > 20 users/threads  --> about  440ms 
>> > 25 users/threads  --> about  550ms 
>> > 40 users/threads  --> about  900-1000ms 
>> > 50 users/threads  --> about  1300-1400ms 
>> > 
>> > Please see the attached screenshot for CPU, heap and thread 
>> > monitoring. I do not see the problem of CPU being max out or not 
>> > enough memory or not scaling threads as I add more users. 
>> > 
>> > H2 Version:h2-1.3.166 
>> > Url: 
>> > jdbc:h2:tcp://localhost:9092/<<DB absolute 
>> > 
>> path>>;MULTI_THREADED=1;CACHE_SIZE=<<cashesize>>;CIPHER=AES;IFEXISTS=TRUE 
>> > 
>> > <<cashesize>> ==> tried different values, defualt-16mb, 128mb, 256mb, 
>> > 512mb and 1024mb (supplied in KB though) 
>> > 
>> > FYI, 
>> > Each thread is executing lot of queries (around 15-20) and some of 
>> > them are recursive queries (to fetch heirachy data). 
>> > 
>> > 
>> > Please let me know if anybody run into the same problem and how did 
>> > you resolve. 
>> > 
>> > Thanks in advance. 
>> > -Sri 
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