python / python/cpython

Memory Leak in multiprocessing.Pool()

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3.7 (EOL) stdlib topic-multiprocessing type-bug
Dominant language
Python
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Description

BPO 39531
Nosy @pitrou, @applio
Files
  • User's.py: script to reproduce the issue
  • 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 = None
    created_at = <Date 2020-02-02.19:19:26.803>
    labels = ['3.7', 'type-bug', 'library']
    title = 'Memory Leak in multiprocessing.Pool()'
    updated_at = <Date 2020-02-09.20:16:24.365>
    user = 'https://bugs.python.org/EMO'
    

    bugs.python.org fields:

    activity = <Date 2020-02-09.20:16:24.365>
    actor = 'terry.reedy'
    assignee = 'none'
    closed = False
    closed_date = None
    closer = None
    components = ['Library (Lib)']
    creation = <Date 2020-02-02.19:19:26.803>
    creator = 'EMO'
    dependencies = []
    files = ['48877']
    hgrepos = []
    issue_num = 39531
    keywords = []
    message_count = 1.0
    messages = ['361253']
    nosy_count = 3.0
    nosy_names = ['pitrou', 'davin', 'EMO']
    pr_nums = []
    priority = 'normal'
    resolution = None
    stage = None
    status = 'open'
    superseder = None
    type = 'behavior'
    url = 'https://bugs.python.org/issue39531'
    versions = ['Python 3.7']
    

    Contributor guide

    Open the contributing guide

    First steps

    1. Read the whole issue, then the project's contributing guide.
    2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
    3. Fork the repository and make your change on a branch.
    4. Open a pull request that references the issue number.

    Research direction

    Start by running the reproduction script in User's.py and reviewing the multiprocessing.Pool entry point. Compare the observed behavior with the linked BPO issue 39531 and Python 3.7 context; done means identifying and fixing the reported memory leak with a regression test demonstrating the corrected behavior.

    Written by the indexing model from the issue text.

    Assessment

    Tech stack
    python
    Domain
    backend
    Issue type
    Bug
    Difficulty
    4/5
    Estimated time
    3-5 days
    Activity status
    Stale
    Clarity
    Needs clarification
    Newbie friendliness
    25/100

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