Some of the Python scripts I run can take 24 - 78 hours to complete. During the beginning stages, these scripts consume a reasonable amount of Memory (about 16% - 20%). But the longer they run the more Memory they consume, until Task Manager says that 99% of the Memory is being used. (Just to clarify, this is Memory not CPU). I recently learned about garbage collection in Python, but that has not seemed to fix the problem. I have also tried
arcpy.Delete_management
but that has not solved the problem either.
Does anyone know how to keep the Memory from continuously building up?
Here is an example of some code where I incorporated garbage collection and arcpy.Delete_management:
import arcpy
import time
import datetime
from datetime import timedelta
import gc
time1 = time.clock()
p = arcpy.mp.ArcGISProject(r'C:\arcGIS_Shared\Python\CenterHeatMaps4.aprx')
lyt = p.listLayouts("Layout_King")[0]
mf = lyt.listElements("MAPFRAME_ELEMENT", "Map*")[0]
bkmks = mf.map.listBookmarks()
m = p.listMaps()[0]
OnLyrList = m.listLayers('Topographic')
OnNxtList = m.listLayers('OpenCenters')
OnList = m.listLayers('SumWithin1000*')
for bkmk in bkmks:
lyrList = m.listLayers()
for lyr in lyrList:
lyr.visible = False
for lyr in OnLyrList:
lyr.visible = True
for lyr in OnNxtList:
lyr.visible = True
for lyr in OnList:
lyr.visible = True
mf.zoomToBookmark(bkmk)
mf.camera.scale = mf.camera.scale * 1.50
for elm in lyt.listElements("TEXT_ELEMENT"):
elm.text = "Zip Code Out 50 Percent - " + bkmk.name
lyt.exportToPDF(r"C:\arcGIS_Shared\Python\Export\Geographic_Boundaries" + "\\Zip Code Out 50 Percent " + bkmk.name + ".pdf")
print(bkmk.name)
arcpy.Delete_management(r"C:\arcGIS_Shared\Python\Export\CensusTracts")
del lyrList, OnList, OnLyrList, OnNxtList
gc.collect()
time2 = time.clock()
runtime = (time2-time1)
print (str(timedelta(seconds=runtime)))
