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Description of problem:

Currently python-idna-2.0 is shipped in RHEL 7.3. This version consumes around 25MB of memory only to load:

>>> import resource
>>> resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
5052
>>> import idna
>>> resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
31344
>>> 

Some memory optimizations have been applied upstream from release 2.0 until latest one, 2.5 leading to a huge improvement:

>>> import resource
>>> resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
5048
>>> import idna
>>> resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
5888
>>> 

Reviewing the commits from v2.0..v2.5, there have been no changes in the public methods of the library, so it seems to be fully compatible with version 2.0, so i'd say it should be safe to update it.


OpenStack services using eventlet are using idna via import from python-dns, which is leading to increase memory usage.

I'm setting version 7.4, however i'm not sure if this request arrives on time to be included in 7.4 or needs to be moved to 7.5.

This is a duplicate of #1425154.

There is no need to update python-idna to address the issue. RHEL 7.4 comes with python-idna-2.4-1.el7. Memory consumption of python-idna was addressed in upstream releases 2.1 and 2.3, https://github.com/kjd/idna/blob/master/HISTORY.rst . I requested errata https://access.redhat.com/errata/RHBA-2017:1996 for the same reason.

I'm closing this BZ as duplicate. Please feel free to re-open the BZ if you a fix from python-idna 2.5.

*** This bug has been marked as a duplicate of bug 1425154 ***