Thank you Emmanuel,

--- Emmanuel Cecchet <[EMAIL PROTECTED]>
wrote:

> Hi Ioana,
> 
> > In meantime if you are interested these are the
> > results I've got some time ago doing the volume
> test
> > for scenario 1 with sequoia 1,2 and 3 backends and
> > without sequoia. If you are looking at the tests 5
> > (131 TPS) and 7 (132 TPS) they are almost the
> same.
> > When running the same tests (tests 6 and 8)
> without FK
> > constraints in the database the difference is big
> 144
> > and 681...
> > Do you know why this is happening? 
> >   
> Yes, this is easy to understand. Sequoia overhead is
> pretty much 
> constant on all queries (a good baseline is around
> 8ms but it can vary 
> according to the setup). When you have slower
> queries (which is the case 
> when you enforce referential integrity), Sequoia
> overhead becomes almost 
> negligible. When you have fast queries (this is the
> case without 
> referential integrity), Sequoia overhead becomes
> more substantial.
> If you have write intensive workloads, you may want
> to look at other 
> alternatives than full replication that will never
> scale writes (at best 
> it will go at the speed of 1 database but with group
> communication and 
> synchronization it will usually be slower). Shared
> disk architectures 
> might be a little better at scaling write workloads
> but it is expensive 
> and require specific database extensions.
> Sequoia only offers read scalability (like any other
> replication 
> technology), you would need partitioning to scale
> writes.
> 
> Hope this clarifies things a bit,
> Emmanuel
> 
> -- 
> Emmanuel Cecchet
> Chief Architect, Continuent
> 
> Blog: http://emanux.blogspot.com/
> Open source: http://www.continuent.org
> Corporate: http://www.continuent.com
> Skype: emmanuel_cecchet
> Cell: +33 687 342 685
> 
> 
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> Sequoia mailing list
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>
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> 


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