On 30 Jun 2011, at 01:18, Vladimir Blagojevic wrote:
Hey, good news!
I have found that a main culprit of a poor DataContainer performance for
large caches (100K entries +) is in fact use of default concurrency of
32.
Does that cause BCHM to create only 32 segments, that resulting in lots of
contention on concurrent updates?
If users are going to use caches with many entries then they should
also increase concurrency level. I found that concurrency of 512 works
fairly well for caches up to million entries. Also note that if users
are using such large caches (1M+ entries) I do not see the point of
having eviction, they should just use unbounded DataContainer.
I'm not sure
this is true for all use cases: e.g. 1M Integers occupy cca 4Mb, and people might want to
allocated up to Gb to cache data.
What I think we can do is suggest them(log), based on the DC size, to increase the
concurrencyLevel when needed.
I am also looking to chart these for easy review, forum post, and
DataContainer performance tuning wiki. Tomorrow I'll determine impact of
passivation on DataContainer performance.
Cheers,
Vladimir
On 11-06-28 10:20 AM, Vladimir Blagojevic wrote:
> On 11-06-28 10:06 AM, Galder ZamarreƱo wrote:
>> Vladimir,
>>
>> I think it's better if you run your tests in one of the cluster or perf
machines cos that way everyone has access to the same base system and results can be
compared, particularly when changes are made. Also, you avoid local apps or CPU usage
affecting your test results.
>>
>> I agree with Sanne, put ops for LIRS don't look go in comparison with LRU.
Did you run some profiling?
>>
> Hey,
>
> Very likely you are right and it is a better approach but it does not
> take much to notice a trend of deteriorating BCHM performance for large
> map/cache size. Looking to do some profiling now.
>
> Cheers
>
>
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