python / python/cpython

Optimize logging package import overhead with lazy imports

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performance stdlib type-feature
Dominant language
Python
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Forks
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PR merge metrics
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Description

import logging.config costs ~29 ms and import logging.handlers ~26 ms, but most of what they
import is only needed conditionally based on feature usage (socket/HTTP/SMTP
handlers, the config socket listener, multiprocessing queue detection).

Apply lazy imports to the modules within the logging package while preserving finalization and shutdown expectations.

(PR is already prepared)

Linked PRs
  • gh-156778

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 with the logging.config and logging.handlers modules, measuring their current import costs and tracing imports used only by socket, HTTP, SMTP, configuration-listener, and multiprocessing-queue features. Confirm that lazy loading preserves finalization and shutdown behavior, then compare import timing and conditional feature behavior before and after the change.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
observability
Issue type
Refactor
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
25/100

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