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From Yaswanth <yaswanth.m...@gmail.com>
Subject Re: Implementing Remote Cache using JCS .
Date Tue, 17 Mar 2009 10:28:30 GMT

it was 2.3 seconds for single object retrieval .

Anyways that is solved by configuring log4j properly .. now one average it
is taking  less than 1 millisecond.

Thanks
Yaswanth


Niall Gallagher wrote:
> 
> Hi Yaswanth,
> 
> "my average retrieval time is 2.3 Seconds"
> -is that 2.3 seconds per object or 2.3 seconds per 10,000 objects?
> 
> Whichever the case- I'd not expect retrieval time from a remote cache
> server to be faster than say retrieving from a database, if that's what
> you're comparing with. The point of JCS is not to compete with database
> drivers in network round-trip retrieval speed. The point is to eliminate
> network round trips.
> 
> If, in your test, one server is putting an object into the cache and you
> are timing how long it takes the other server to retrieve it, you won't
> be getting real-world statistics. You should time how long it would take
> the second server to retrieve the same object multiple times, which is
> what your app would probably be doing in production (if your data is
> cacheable i.e. is repeatedly read more than once). Also you should have
> a warm-up run in your test because initialising the cache takes a couple
> of seconds but only happens at application startup.
> 
> The remote cache server is not a distributed cache by itself - it exists
> to *coordinate* the distributed cache. The JCS client libraries which
> you'll have in each application connect to and retrieve objects from the
> remote cache server and then keep copies in local RAM to allow them to
> avoid network round trips when they next need the same data. The remote
> cache in the meantime keeps each client in sync with other clients by
> notifying clients when data changes.
> 
> If n=retrieval iteration, you'll probably find that when
> 
> n=1, timetaken=0.5 seconds
> n=2, timetaken=0.00004 seconds
> n=3, timetaken=0.00004 seconds
> ..and so on.
> 
> Then you need to run the same test, but this time comparing time taken
> when you repeatedly read from a busy database. Databases have built-in
> caches, so for n=2 you'll see a slight improvement, but it will still be
> at least hundreds of times slower than retrieving from local RAM.
> 
> Kind regards,
> 
> Niall
> 
> 
> On Mon, 2009-03-16 at 08:58 -0700, Yaswanth wrote:
> 
>> Hi, 
>> 
>> I am trying to implement Remote Cache using JCS.
>> 
>> Below is my Server and Client Code. Here are my 
>> http://www.nabble.com/file/p22541185/remote.cache.server.ccf Server   and 
>> http://www.nabble.com/file/p22541185/remote.cache.client.ccf Client 
>> Cache
>> configuration files.
>> 
>> My ServerCode :
>> RemoteCacheServerFactory.main(new String[]{"/remote.cache.server.ccf"});
>> 
>> My Client1 Code :
>> JCS.setConfigFilename( "/remote.cache.client.ccf" );
>> JCS cache = JCS.getInstance( "testCache" );
>> cache.put("Key"+i, "Value"+i); // So many times.. While loop
>> 
>> My Client2 Code :
>> JCS.setConfigFilename( "/remote.cache.client.ccf" );
>> JCS cache = JCS.getInstance( "testCache" );
>> cache.get("Key"+i); // So many times. While loop
>> 
>> 
>> I am running a JCS Remote Server and Starting Two Remote Clients.
>> 
>> Using One client i am adding 10K Objects into  cache and after that i am
>> using using another client i am retrieving them. At this time my average
>> retrieval time is 2.3 Seconds.
>> 
>> When i rerun the test case with 100K objects . My average retrieval rate
>> is 
>> 302 Seconds.
>> 
>> I observed that my retrieval rates are very slow, which i think shouldn't
>> be. Can anyone point out where the problem is ?
>> 
>> Thanks,
>> Yaswanth
> 
> 
> 

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