db-derby-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Nathan Boy <nathan....@gmail.com>
Subject Re: Speed up single INSERT INTO statement?
Date Wed, 09 May 2012 18:16:45 GMT
The changes that I found most effective when it comes to speeding up inserts:
1 - Run database with "test" durability
2 - Add all of your data before adding your primary key and foreign
key constraints, if possible
3 - Use prepared statements
4 - Execute prepared statements in batches, rather than one at a time

When I was optimizing inserts, I got it down to about 10-20 row
inserts per millisecond, so you can definitely improve your
performance.  You may not be able to get anywhere near that
performance, though, depending on what is actually in that select
statement. It may be worth your time to run the select statement
separately from your insert statement so that you can figure out how
to speed up each one separately.  In my experience, it is often easier
to use a vanilla INSERT INTO TABLE (c...) VALUES (?,...), and then
have a bit of glue Java code to run the select statement and call the
insert statement w/ the appropriate values as the select statement
returns data.

On Wed, May 9, 2012 at 1:00 PM, TXVanguard <brett.denner@lmco.com> wrote:
> I need to speed up a single INSERT statement in Derby.
> The statement has the form:
> INSERT INTO table (col1, col2) SELECT a, b FROM ....
> In my application, it take about 10 seconds to insert 3000 records.
> I have experimented with turning off autocommit, adjusting
> derby.storage.pageCacheSize and derby.storage.pageSize, turning off indexes
> for the table, and a few other things, but nothing seems to affect the speed
> of the INSERT.
> Are there any other techniques I can try?  Would it be helpful to
> temporarily turn off constraints for the table?
> --
> View this message in context: http://old.nabble.com/Speed-up-single-INSERT-INTO-statement--tp33763645p33763645.html
> Sent from the Apache Derby Users mailing list archive at Nabble.com.

View raw message