Python performance...

Discussion created by tsellste Champion on Dec 13, 2011
Latest reply on Feb 7, 2012 by kimo
One of the improvements I had heard about at this years UC was the speed of python at 10.1. 

I have python process that I run to import data from our county assessors office ( they still use coverages...) into our geodatabase for our own evil purposes.  This takes about 6 hours to process on our old GIS server.  So I was very interested to see how fast this would go on a new server with a faster processor, more memory, enterprise database and a much faster python.

It is actually slower and bails out of the process in the middle.  The python memory footprint is about 1.7gb. So it looks like some sort of memory leak.  I reviewed my python code and it appears to be ok.  It is identical to what is running on my production server except that it writes to a different geodatabase.

The process reads the parcel shape file and associated datasets and uses and insertcursor to put them into the geodatabase.

Have I found a but or do I have some bad code?