Greenplum is a DW/BI database. So the workload is read-only  :P

The only time writes happen is when you're loading the DW using your
ETL tools; this is a bulk-load. So there are no transactional issues.

I was referring to the amazing performance figures (e.g. showing a
picture of a single Sun X4500 and saying you could load 1TB in 2
minutes which the /hardware/ is not capable of) -- they don't say that
the performance figure was obtained on a bigger box.


On 4/30/07, Tiger Quimpo <[EMAIL PROTECTED]> wrote:
On Fri, 2007-04-27 at 14:10 +0800, Orlando Andico wrote:
> On 4/27/07, Tiger Quimpo <[EMAIL PROTECTED]> wrote:
> > Interesting claims on that site though :-).
>
> Some of their claims don't make sense though..

Yeah, I thought so too.  Or if they're true, I just don't
understand them.  I'm concerned about transaction semantics
over that cluster of inexpensive servers running in parallel.

I'm wondering how they partition the dataset into pieces that
run on individual inexpensive servers and know how to partition
a query into smaller queries that run on the right individual
servers.  Is the partitioning automatic or how much manual
configuration is involved.

I can believe that queries can be made to run very fast by
cutting the data apart into small pieces and running queries
in parallel. It's the data consistency among many inexpensive
servers that i'm concerned about (transaction semantics,
what happens when a box goes down [so the partition data that
lives on that box isn't available anymore], etc.)

tiger



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--
Orlando Andico
Senior Sales Consultant - Embedded GTMi
Oracle (Philippines) Corporation

The statements and opinions expressed here are my own and do not
necessarily represent those of Oracle Corporation.
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