Message228176
Sorry, I'm not able to reproduce any major memory leak, using a couple of different dbm implementations, and there is not enough information to go on.
To pursue further, you should identify:
- what platform (operating system distribution and version)
- exactly what version of Python you are using and its origins (if not provided by the operating system distribution):
python2.7 -c 'import sys;print(sys.version)'
- a test case that shows exactly what you run and how you determine that memory is growing
- after running the test (and possibly aborting it) and the database file "blah" has been created:
python2.7 -c 'import whichdb;print(whichdb.whichdb("blah"))'
That should show which dbm is being used. |
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Date |
User |
Action |
Args |
2014-10-02 07:41:25 | ned.deily | set | recipients:
+ ned.deily, tjhnson |
2014-10-02 07:41:25 | ned.deily | set | messageid: <1412235685.82.0.0801462462138.issue22534@psf.upfronthosting.co.za> |
2014-10-02 07:41:25 | ned.deily | link | issue22534 messages |
2014-10-02 07:41:25 | ned.deily | create | |
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