=thomas
On 6/4/07 4:08 PM, "Y Sidhu" <ysidhu@xxxxxxxxx> wrote:
On 6/4/07, Thomas Andrews <tandrews@xxxxxxxxxxxxxxxxxxxxx> wrote:
On 6/4/07 3:43 PM, "Gregory Stark" <stark@xxxxxxxxxxxxxxxx> wrote:
>
> "Thomas Andrews" < tandrews@xxxxxxxxxxxxxxxxxxxxx <mailto:tandrews@xxxxxxxxxxxxxxxxxxxxx> > writes:
>
>> I guess my real question is, does it ever make sense to create thousands of
>> tables like this?
>
> Sometimes. But usually it's not a good idea.
>
> What you're proposing is basically partitioning, though you may not actually
> need to put all the partitions together for your purposes. Partitioning's main
> benefit is in the management of the data. You can drop and load partitions in
> chunks rather than have to perform large operations on millions of records.
>
> Postgres doesn't really get any faster by breaking the tables up like that. In
> fact it probably gets slower as it has to look up which of the thousands of
> tables you want to work with.
>
> How often do you update or delete records and how many do you update or
> delete? Once per day is a very low frequency for vacuuming a busy table, you
> may be suffering from table bloat. But if you never delete or update records
> then that's irrelevant.
It looks like the most inserts that have occurred in a day is about 2000.
The responders table has 1.3 million records, the responses table has 50
million records. Most of the inserts are in the responses table.
>
> Does reindexing or clustering the table make a marked difference?
>
Clustering sounds like it might be a really good solution. How long does a
cluster command usually take on a table with 50,000,000 records? Is it
something that can be run daily/weekly?
I'd rather not post the schema because it's not mine - I'm a consultant. I
can tell you our vacuum every night is taking 2 hours and that disk IO is
the real killer - the CPU rarely gets higher than 20% or so.
=thomas
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