Hi,
At 13:50 27/06/2005, Praveen Raja wrote:
Just to clear things up a bit, the scenario that I'm interested in is a
table with a large number of indexes on it (maybe 7-8).
If you're after performance you'll want to carefully consider which indexes
are really useful and/or redesign your schema so that you can have less
indexes on that table. 7 or 8 indexes is quite a lot, and that really has a
cost.
In this scenario
other than the overhead of having to maintain the indexes (which I'm
guessing is the same regardless of the size of the table)
Definitely not: indexes grow with the size of the table. Depending on what
columns you index (and their types), the indexes may be a fraction of the
size of the table, or they may be very close in size (in extreme cases they
may even be larger). With 7 or 8 indexes, that can be quite a large volume
of data to manipulate, especially if the values of the columns inserted can
span the whole range of the index (rather than being solely id- or
time-based, for instance, in which case index updates are concentrated in a
small area of each of the indexes), as this means you'll need to have a
majority of the indexes in RAM if you want to maintain decent performance.
does the size of the table play a role in determining insert performance
(and I mean
only insert performance)?
In this case, it's really the indexes that'll cause you trouble, though
heavily fragmented tables (due to lots of deletes or updates) will also
incur a penalty just for the data part of the inserts.
Also, don't forget the usual hints if you are going to do lots of inserts:
- batch them in large transactions, don't do them one at a time
- better yet, use COPY rather than INSERT
- in some situations, you might be better of dropping the indexes, doing
large batch inserts, then re-creating the indexes. YMMV depending on the
existing/new ratio, whether you need to maintain indexed access to the
tables, etc.
- pay attention to foreign keys
Jacques.
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TIP 9: In versions below 8.0, the planner will ignore your desire to
choose an index scan if your joining column's datatypes do not
match
