Solved! Go to Solution.
that's exactly what I'm doing. I use numpy to push cell values of 24 rasters into a dictionary and then populate an in_memory point FC which is then appended. I end up with a point w/ the values of the 24 rasters.
Everything is really fast up until the append. The in_memory point fc takes no time.
that's exactly what I'm doing. I use numpy to push cell values of 24 rasters into a dictionary and then populate an in_memory point FC which is then appended. I end up with a point w/ the values of the 24 rasters.
Everything is really fast up until the append. The in_memory point fc takes no time.
Merge just runs Append in a loop... Both tools are slow since they seem to rebuild the spatial index file with each loop of Appending. Perfiormace degradation is noticable if you are merging >2 FCs and/or if they are large FCs.
Using cursors is by far the best way: http://forums.arcgis.com/threads/66434-A-better-way-to-run-large-Append-Merge-jobs