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Re: Setting shared cache
by Al Forbes
::
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Yes, local caches listen to events from the remote...so local and remote
caches are kept in sync (actually the remote just notifies the local when
something expires or a new item is added).
The BLOB means anything can be stored - I don't think the db will be the
bottleneck even with >1 million entries, especially if you are only storing
relatively small objects.
Cheers,
Al
2010/6/23 Martín Eduardo Bradaschia <martin.bradaschia@...>
> Hi again !
>
> Al, thank you for your response.
>
> What about the JDBC auxiliary ? It would release me from setting up the
> remote cache, and to create another web app for the startup, right ?
>
> I still have a doubt, it will work like de remote cache ? I mean, when a
> node stores a value, It will be visible for other caches ?
>
> I see another little problem, de values are stored in BLOB fileds into the
> database, but I will store just Doubles.
>
> Thanx again for your time !
>
> Martin.
>
> El 17/06/10 03:59, Al Forbes escribió:
>
> Hi Martin,
>>
>> Sounds like you need a remote cache - each local cache updates the remote
>> cache. If something is not in the local cache, then the query is sent to
>> the
>> remote cache. If the remote cache is updated, all other caches are
>> notified
>> of the update.
>>
>> http://jakarta.apache.org/jcs/RemoteAuxCache.html
>>
>> Regards
>> Al
>>
>> 2010/6/16 Martín Eduardo Bradaschia<martin.bradaschia@...>
>>
>>
>>
>>> Hi there !
>>>
>>> I need some help in this scenario.
>>>
>>> I was using jcs to cache data in our application. It used a disk
>>> auxiliary
>>> and all was going well, but now ...
>>>
>>> The application grew up, we have 8 nodes working in cluster now. Each
>>> node
>>> calculates values (it takes about 2 minutes to calculate each value
>>> because
>>> of internet access, text parsing, etc). So we need that each calculated
>>> value be stored in a shared cache to avoid the same calculation in other
>>> nodes. High performance is not a priority, sharing is !
>>>
>>> The question is What settings would you recommend ?
>>>
>>> Thnx in advance !
>>>
>>> --
>>> Martin Eduardo Bradaschia
>>> Intercomgi Argentina
>>>
>>>
>>>
>>> ---------------------------------------------------------------------
>>> To unsubscribe, e-mail: jcs-users-unsubscribe@...
>>> For additional commands, e-mail: jcs-users-help@...
>>>
>>>
>>>
>>>
>>
>>
>
>
> --
> Martin Eduardo Bradaschia
> Intercomgi Argentina
>
>
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: jcs-users-unsubscribe@...
> For additional commands, e-mail: jcs-users-help@...
>
>
caches are kept in sync (actually the remote just notifies the local when
something expires or a new item is added).
The BLOB means anything can be stored - I don't think the db will be the
bottleneck even with >1 million entries, especially if you are only storing
relatively small objects.
Cheers,
Al
2010/6/23 Martín Eduardo Bradaschia <martin.bradaschia@...>
> Hi again !
>
> Al, thank you for your response.
>
> What about the JDBC auxiliary ? It would release me from setting up the
> remote cache, and to create another web app for the startup, right ?
>
> I still have a doubt, it will work like de remote cache ? I mean, when a
> node stores a value, It will be visible for other caches ?
>
> I see another little problem, de values are stored in BLOB fileds into the
> database, but I will store just Doubles.
>
> Thanx again for your time !
>
> Martin.
>
> El 17/06/10 03:59, Al Forbes escribió:
>
> Hi Martin,
>>
>> Sounds like you need a remote cache - each local cache updates the remote
>> cache. If something is not in the local cache, then the query is sent to
>> the
>> remote cache. If the remote cache is updated, all other caches are
>> notified
>> of the update.
>>
>> http://jakarta.apache.org/jcs/RemoteAuxCache.html
>>
>> Regards
>> Al
>>
>> 2010/6/16 Martín Eduardo Bradaschia<martin.bradaschia@...>
>>
>>
>>
>>> Hi there !
>>>
>>> I need some help in this scenario.
>>>
>>> I was using jcs to cache data in our application. It used a disk
>>> auxiliary
>>> and all was going well, but now ...
>>>
>>> The application grew up, we have 8 nodes working in cluster now. Each
>>> node
>>> calculates values (it takes about 2 minutes to calculate each value
>>> because
>>> of internet access, text parsing, etc). So we need that each calculated
>>> value be stored in a shared cache to avoid the same calculation in other
>>> nodes. High performance is not a priority, sharing is !
>>>
>>> The question is What settings would you recommend ?
>>>
>>> Thnx in advance !
>>>
>>> --
>>> Martin Eduardo Bradaschia
>>> Intercomgi Argentina
>>>
>>>
>>>
>>> ---------------------------------------------------------------------
>>> To unsubscribe, e-mail: jcs-users-unsubscribe@...
>>> For additional commands, e-mail: jcs-users-help@...
>>>
>>>
>>>
>>>
>>
>>
>
>
> --
> Martin Eduardo Bradaschia
> Intercomgi Argentina
>
>
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: jcs-users-unsubscribe@...
> For additional commands, e-mail: jcs-users-help@...
>
>
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