Ok I have a feature class (260k records) and 3 tables. I need to get specific information (about 20 fields) from each into a new feature class. I have several different ways to do this and I’m curious if anyone has done any performance testing and knows which of my options would be “best”.
Option 1
I could create several joins and append the data into the new feature class, with some additional field calculations for cleanup.
Option 2
Create a python script that would loop through each record, search cursor the other tables for data, then insert cursor into the new feature class.
Thank you
Alan
Option 1
I could create several joins and append the data into the new feature class, with some additional field calculations for cleanup.
Option 2
Create a python script that would loop through each record, search cursor the other tables for data, then insert cursor into the new feature class.
Thank you
Alan