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XY-Event-Layer (loop): Script runs slower and slower

Question asked by Lolaleya on Oct 9, 2014
Latest reply on Oct 9, 2014 by JB1234510



I am running a script where in the first step I create a xy-Event-Layer out of txt-files. I am loading like 2000 files one after another out of one folder.

Now the process works fine, only it gets slower and slower. After 8 hours it needs like 4 minutes for one file, while in the beginning it finished 6 files in one minute.


My Question is:

Could it be that ArcGIS is saving something like an image of the XY-Eventlayers in temp-files somewhere so that my RAM can't work anymore in the end?


The thing is, if I kill the script, turn the PC off and on again and start again, it works as fast as in the beginning. If I only delete the files in the "delete"folder, (which I created for the output of line 31-38 which appears during the process) and in the "normal" temp-folder, it doesn't get better.


Thanks in advance for any help!


The script looks like this:


import os, arcpy 


# Festlegen ob das Ergebnis Hydr. Höhen oder Salzgehalt ist 


TextDateienListe = os.listdir(PfadTxt) 

import re 

def k(s): 
    return [w.isdigit() and int(w) or w for w in re.split(r'(\d+)', s)] 

TextDateienListe = sorted(TextDateienListe, key=k) 

for Datei in TextDateienListe: 


    b = os.path.splitext(Datei)     

         # XY-Event Layer erstellen // Input: txt-Datei //Output: Layer mit Variable EventLayerName 
    EventLayerName= b[0] + "_Layer" 
    arcpy.MakeXYEventLayer_management(PfadTxt+Datei,"x","y",EventLayerName,"PROJCS['ETRS_1989_UTM_Zone_33N',GEOGCS['GCS_ETRS_1989',DATUM['D_ETRS_1989',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',15.0],PARAMETER['Scale_Factor',0.9996],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]];-5120900 -9998100 10000;-100000 10000;-100000 10000;0,001;0,001;0,001;IsHighPrecision",Sz) 

        # Kriging // Output: Raster rXXX,Sz,Pfad1+"r" + b[0],"Spherical 15,717080","15,7170800000001","VARIABLE 12","#")   

        # Hydrotopdatei kopieren zum späteren Einlesen der gemittelten Werte 
    arcpy.CopyFeatures_management(Pfad+"HydrotMD.shp",Pfad1+"Hydrotop" + b[0]+".shp","#","0","0","0") 

        #Zonale Statistiken: Mittelwerte bilden für Hydrotop und Raster und in Tabelle ausspucken"Hydrotop" + b[0]+".shp","ID_COMTESS",Pfad1+"r" + b[0],Pfad1+ "t"+b[0],"DATA","MEAN") 
        # Tabellenfeld per ID_COMTESS-Feld in die hydrotop-Datei integrieren 
    arcpy.JoinField_management(Pfad1+"Hydrotop" + b[0]+".shp","ID_COMTESS",Pfad1+ "t"+b[0],"ID_COMTESS","MEAN") 

        #Exportieren der ID mit dem dazugehörigen Mittelwert in eine Textdatei 
    arcpy.ExportXYv_stats(Pfad1+"Hydrotop" + b[0]+".shp","ID_COMTESS;MEAN","SPACE",Pfad + "Results/01_MD_"+Sz+"_"+b[0]+".txt","#")