You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I have an application which reads very large pst files. I noticed a degradation in performance over time. To demonstrate this, i took the test.py file and deleted the print statements, and added the following lines to print out a message every 500 "items":
I have an application which reads very large pst files. I noticed a degradation in performance over time. To demonstrate this, i took the test.py file and deleted the print statements, and added the following lines to print out a message every 500 "items":
The output starts off "reasonable" :
2017-07-25 12:15:49,746 count = 500
2017-07-25 12:15:49,910 count = 1000
2017-07-25 12:15:50,143 count = 1500
2017-07-25 12:15:50,432 count = 2000
2017-07-25 12:15:50,744 count = 2500
2017-07-25 12:15:51,138 count = 3000
2017-07-25 12:15:51,553 count = 3500
2017-07-25 12:15:51,998 count = 4000
2017-07-25 12:15:52,686 count = 4500
but then deteriorates:
2017-07-25 12:20:26,865 count = 47000
2017-07-25 12:20:32,875 count = 47500
2017-07-25 12:20:39,700 count = 48000
2017-07-25 12:20:45,640 count = 48500
2017-07-25 12:20:51,255 count = 49000
2017-07-25 12:21:00,353 count = 49500
2017-07-25 12:21:11,214 count = 50000
2017-07-25 12:21:20,816 count = 50500
2017-07-25 12:21:30,561 count = 51000
Is goes from taking less than 1/2 second per 500 messages to over 9 seconds.
Do we know why this is happening?
thanks
The text was updated successfully, but these errors were encountered: