How to stop output of empty feature datasets with model

markcrow

I have set up a simple model that will select features in a feature class (personal geodatabase) based on an expression and then output the selected features into a new feature class.  I have set up an iterator so that I can select the feature dataset and it will run the above described process on each feature class in said dataset.  The problem is that the model will create an output feature class whether the select criteria was met or not.  In other words, whenever there is a feature class that does not meet the criteria, nothing is selected, then it creates an empty feature dataset.  I want to either avoid the creation of these empty datsets, or delete them on the back end.  I can't figure out how to do either in model builder (I don't do code...sorry).  Image attached...I would greatly appreciate some help with this one.

Model.jpg

gis_KIWI4_0-1716181894156.png

ChristopherBlinn1

Mark,

Unfortunately, the only way I see achieving this is to script in an If...Then conditional statement which will read a row count for all of your output feature classes.

If Feature Class Row Count = 0 Then
Delete Feature Class

I found this script on another forum that returns the row count, you may be able to easily change it run in your conditional statement:

totalRecordCount = int(gp.GetCount_management(gp.describe(featureLayer).catalogpath).getoutput(0))

Good Luck!