Stephen Frost wrote:
>* Herv? Piedvache (herve@elma.fr) wrote:
>
>
>>Le Jeudi 20 Janvier 2005 15:30, Stephen Frost a écrit :
>>
>>
>>>* Herv? Piedvache (herve@elma.fr) wrote:
>>>
>>>
>>>>Is there any solution with PostgreSQL matching these needs ... ?
>>>>
>>>>
>>>You might look into pg_pool. Another possibility would be slony, though
>>>I'm not sure it's to the point you need it at yet, depends on if you can
>>>handle some delay before an insert makes it to the slave select systems.
>>>
>>>
>>I think not ... pgpool or slony are replication solutions ... but as I have
>>said to Christopher Kings-Lynne how I'll manage the scalabilty of the
>>database ? I'll need several servers able to load a database growing and
>>growing to get good speed performance ...
>>
>>
>
>They're both replication solutions, but they also help distribute the
>load. For example:
>
>pg_pool will distribute the select queries amoung the servers. They'll
>all get the inserts, so that hurts, but at least the select queries are
>distributed.
>
>slony is similar, but your application level does the load distribution
>of select statements instead of pg_pool. Your application needs to know
>to send insert statements to the 'main' server, and select from the
>others.
>
>
You can put pgpool in front of replicator or slony to get load
balancing for reads.
>
>
>>>>Is there any other solution than a Cluster for our problem ?
>>>>
>>>>
>>>Bigger server, more CPUs/disks in one box. Try to partition up your
>>>data some way such that it can be spread across multiple machines, then
>>>if you need to combine the data have it be replicated using slony to a
>>>big box that has a view which joins all the tables and do your big
>>>queries against that.
>>>
>>>
>>But I'll arrive to limitation of a box size quickly I thing a 4 processors
>>with 64 Gb of RAM ... and after ?
>>
>>
Opteron.
>
>Go to non-x86 hardware after if you're going to continue to increase the
>size of the server. Personally I think your better bet might be to
>figure out a way to partition up your data (isn't that what google
>does anyway?).
>
> Stephen
>
>
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