It's certainly possible, but tracking a pywin32 leak down from such
scant information is not really possible. If you can tweak your program
to narrow down a leak we might have more luck - eg, add pointless loops
that repeat the same operation a thousand times in various places, see
how they change the leak behaviour, then rinse and repeat until you can
see a significant leak from a single MAPI operation so repeated.
Mark
On 16/01/2015 9:43 PM, Kapil Dolas wrote:
Hi,
I am using pywin32's mapi module to read data from PSTs. I have shared
my program which reads email and attachment datahere
<http://pastebin.com/2AXy3BVH> (http://pastebin.com/2AXy3BVH).
Currently, program is not storing any of the read data. But, still I can
see gradual increase in memory usage when I run the program over large
PST. That PST contains around 9000 emails and it has 9 GB of data. Max
size of email is 24 MB only. For this PST, program's initial memory
usage is about 10 MB, but it gradually increases and reaches to 40-45
MB. I don't know why this memory usage increases up to this value. I
have tried using pympler to find the root cause, but without any
success. It appears that memory increase is not due to python objects.
Can you point out the reason behind (gradual) increase in memory usage?
Is it due to the memory leak in pywin32, or any mistakes in my program?
Regards,
Kapil Dolas
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