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Python3a5 compile failing due to high memory usage #47269

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segfaulthunter mannequin opened this issue May 31, 2008 · 3 comments
Closed

Python3a5 compile failing due to high memory usage #47269

segfaulthunter mannequin opened this issue May 31, 2008 · 3 comments
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build The build process and cross-build

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@segfaulthunter
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Mannequin

segfaulthunter mannequin commented May 31, 2008

BPO 3019
Nosy @birkenfeld
Files
  • output: Output of various commands.
  • gdb_output: Output of GDB
    		•

    Note: these values reflect the state of the issue at the time it was migrated and might not reflect the current state.

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    GitHub fields:

    assignee = None
closed_at = <Date 2008-05-31.21:29:18.767>
created_at = <Date 2008-05-31.18:32:49.443>
labels = ['build']
title = 'Python3a5 compile failing due to high memory usage'
updated_at = <Date 2008-05-31.21:29:18.716>
user = 'https://bugs.python.org/segfaulthunter'

    bugs.python.org fields:

    activity = <Date 2008-05-31.21:29:18.716>
actor = 'georg.brandl'
assignee = 'none'
closed = True
closed_date = <Date 2008-05-31.21:29:18.767>
closer = 'georg.brandl'
components = ['Build']
creation = <Date 2008-05-31.18:32:49.443>
creator = 'segfaulthunter'
dependencies = []
files = ['10488', '10490']
hgrepos = []
issue_num = 3019
keywords = []
message_count = 3.0
messages = ['67585', '67587', '67589']
nosy_count = 2.0
nosy_names = ['georg.brandl', 'segfaulthunter']
pr_nums = []
priority = 'normal'
resolution = 'duplicate'
stage = None
status = 'closed'
superseder = None
type = 'compile error'
url = 'https://bugs.python.org/issue3019'
versions = ['Python 3.0']
    @segfaulthunter
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    segfaulthunter mannequin commented May 31, 2008

    I have tried building Python3a5 today using the tarball offered on your
    internet site.
    The process './python -E setup.py build' keeps on allocating my memory
    using more than 80% of my RAM, I am certain that it would have used more
    if I had not cancelled it.
    When I use ltrace to track the system calls and put it into the
    Makefile, the resource usage still raises but much slower, if I use
    ltrace and supply it a PID, the memory usage raises as fast as normal. I
    think this is due to something in ltrace, it's understandable because it
    produced a file of more than 600MB.

    I attached an excerpt of the output of ltrace, showing you how the
    system calls seem to repeat, and the output of './configure', 'make',
    'uname -a', 'lspci' and 'lsmod' so you have some data about my system.
    I also got a screenshot showing the output of htop, make and strace
    together: http://img516.imageshack.us/img516/2275/screenshot1ab8.png.
    Maybe the output of two different programs(ltrace and strace) will help
    you too.
    I tried out building the current SVN py3k branch, resulting in a similar
    problem.
    PS: It would help if you allowed uploading of multiple files to bug reports

    @segfaulthunter segfaulthunter mannequin added build The build process and cross-build labels May 31, 2008
    @segfaulthunter
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    segfaulthunter mannequin commented May 31, 2008

    Added the output of GDB as the memory usage was nearing 70%.
    Hope it helps.

    @birkenfeld
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    Turns out this is due to GCC 4.3 being used. Dupe of bpo-2626.

    @ezio-melotti ezio-melotti transferred this issue from another repository Apr 10, 2022
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