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From "Brent Ryan" <br...@blackboard.com>
Subject RE: iBatis performance FYI
Date Fri, 28 Apr 2006 17:01:18 GMT
Well, in my program that does this, I'm not doing any batching because
the data is not reliable enough for me to guarantee that everything in
the batch will load without some constraint violation.  So every
insert/update is a separate transaction.  You cannot accomplish this
performance by simply reading a file and loading it with straight JDBC
or iBatis.

The only way you accomplish this is to make your application
multithreaded.  So what I did was to read from the file and store a
certain number of rows into a Queue and then spawn a thread to work on
that queue to do inserts/updates.  Both the number of items in each
queue and the max number of threads to work on a queue are defined in a
properties file.  So you do have to do some optimizations to discover
what those parameters should be to reach optimal performance.

I was quite surpised at my results because in my code I'm also using
some beanutils to cast things into my Bean objects using PropertyUtils()
for every row in the file.

Anyways, I hope this helps and if you have more questions on how to do
this then please let me know. 


-----Original Message-----
From: Christopher Lamey [mailto:clamey@localmatters.com] 
Sent: Friday, April 28, 2006 9:52 AM
To: user-java@ibatis.apache.org
Subject: Re: iBatis performance FYI

On Fri, 2006-04-28 at 10:07 -0600, Larry Meadors wrote:
> That is not to bad, for reference, I did a jdbc import of 180,674 
> records in 186.620s, which is only 1032/second.
> Any tips learned along the way that you'd like to share?

Hello all,

I would be very interested in hearing anyone's experience here.  I've
got to cram millions of records into a postgres db as fast as possible.
I don't have test machines setup yet, but on my laptop 3G P4 I'm seeing
encouraging numbers.  Roughly around 3.7ms per input file line, each of
which breaks down into somewhere around 10 to 20 inserts and an update.

Ideally I'd use the psql COPY command, which looks to bypasses the SQL
parser and so is extremely fast (like Oracle's sqlldr or sybase/sql
server's bc), but I need to do programmatic things with the data.

I've dropped as many constraints (keys and indexes) as I can and tuned
postgres for inserts.  The postgres tuning involved increasing the right
values so that lots of inserts don't cause lots of sync and I/O

iBATIS-wise, I'm batching INSERT statements using a runtime parameter
for the batch size.  A batch size of 100 seems to be working well for
me, but this is dependent on the database and machine configuration so
I'll tune it on more realistic hardware.

Other than batches, are there iBATIS features at which I should be
looking for INSERT performance?


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