I have an ASP.NET website that will hit about 2gb physical memory used within about 3-4 days, which to me sounds really bad. At the moment, I have configured IIS to restart the app pool process when it hits 500mb. I would like to try and track down the problem.
Gives most details.
I wrote a Python program that acts on a large input file to create a few million objects representing triangles. The algorithm is:
Is there a way for a Python program to determine how much memory it’s currently using? I’ve seen discussions about memory usage for a single object, but what I need is total memory usage for the process, so that I can determine when it’s necessary to start discarding cached data.
I have a few related questions regarding memory usage in the following example.
Two Python strings with the same characters, a == b,
may share memory, id(a) == id(b),
or may be in memory twice, id(a) != id(b).
Try
I have a long-running script which, if let to run long enough, will consume all the memory on my system. Without going into details about the script, I have two questions: Are there any “Best Practices” to follow, which will help prevent leaks from occurring? What techniques are there to debug memory leaks in Python? … Read more
When are objects garbage collected in python? When is the memory released and does the collection impact performance? Can one opt out or tune the gc algorithm and if so how?
How are variables and memory managed in Python? Does it have a stack and a heap and what algorithm is used to manage memory? Given this knowledge are there any recommendations on memory management for large number/data crunching?
The Cython documentation on typed memory views list three ways of assigning to a typed memory view: