python / python/cpython

Garbage Collection makes some object live for very long

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還沒有人認領這個 Issue。

3.12 interpreter-core performance
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描述

BPO 39061
Nosy @pablogsal, @mistasse
Files
  • late_gc.py: Example program where the unnecessary growing of memory consumption is observable
  • 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 2019-12-16.10:01:34.949>
    labels = ['interpreter-core', 'performance']
    title = 'Garbage Collection makes some object live for very long'
    updated_at = <Date 2019-12-16.19:06:33.825>
    user = 'https://github.com/mistasse'
    

    bugs.python.org fields:

    activity = <Date 2019-12-16.19:06:33.825>
    actor = 'pablogsal'
    assignee = 'none'
    closed = False
    closed_date = None
    closer = None
    components = ['Interpreter Core']
    creation = <Date 2019-12-16.10:01:34.949>
    creator = 'mistasse'
    dependencies = []
    files = ['48780']
    hgrepos = []
    issue_num = 39061
    keywords = []
    message_count = 4.0
    messages = ['358469', '358486', '358488', '358491']
    nosy_count = 2.0
    nosy_names = ['pablogsal', 'mistasse']
    pr_nums = []
    priority = 'normal'
    resolution = None
    stage = None
    status = 'open'
    superseder = None
    type = 'resource usage'
    url = 'https://bugs.python.org/issue39061'
    versions = []
    

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    研究方向

    首先執行附帶的 late_gc.py 範例,以重現不必要的記憶體增長。接著追蹤 interpreter-core 中與物件存活時間超過必要時長有關的垃圾回收行為。完成的標準是找出原因,並證明該範例不再出現所回報的物件存活時間過長或記憶體增長問題。

    由索引模型根據 Issue 內容生成。

    評估

    技術堆疊
    python
    領域
    performance
    Issue 類型
    缺陷
    難度
    4/5
    預估耗時
    3-5 天
    活躍度
    停滯
    描述清晰度
    需要釐清
    新手友好度
    25/100

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