Improve performance of json.loads and json.load for numeric data
Open
Nobody has claimed this yet.
performance
stdlib
type-feature
- Dominant language
- Python
- Stars
- 77.2k
- Forks
- 35.9k
- PR merge metrics
- PR metrics pending
Description
Feature or enhancement
Proposal:
We can improve performance by adding fast paths for the common cases (ints with < 20 digits, floats with < 64 digits).
Has this already been discussed elsewhere?
No response given
Links to previous discussion of this feature:
No response
Linked PRs
- gh-150639
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the proposal and the linked PR gh-150639, then inspect the existing json.loads and json.load numeric parsing paths. Benchmark integer and floating-point inputs against the current implementation; done means the proposed fast paths improve performance without changing parsing behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- performance
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100