SQL Server Storing Large Amounts Of Data In Multiple Tables

Jul 20, 2005

Hello,
Currently we have a database, and it is our desire for it to be able
to store millions of records. The data in the table can be divided up
by client, and it stores nothing but about 7 integers.
| table |
| id | clientId | int1 | int2 | int 3 | ... |

Right now, our benchmarks indicate a drastic increase in performance
if we divide the data into different tables. For example,
table_clientA, table_clientB, table_clientC, despite the fact the
tables contain the exact same columns. This however does not seem very
clean or elegant to me, and rather illogical since a database exists
as a single file on the harddrive.

| table_clientA |
| id | clientId | int1 | int2 | int 3 | ...

| table_clientB |
| id | clientId | int1 | int2 | int 3 | ...

| table_clientC |
| id | clientId | int1 | int2 | int 3 | ...

Is there anyway to duplicate this increase in database performance
gained by splitting the table, perhaps by using a certain type of
index?

Thanks,
Jeff Brubaker
Software Developer

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p.s. my email was incorrect in the last mail.
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