Python Memory Management Pain Points Exploration
Problem
Python developers often encounter memory not being returned to the OS in long-running services, especially with modern allocators like jemalloc or mimalloc, where standard malloc_trim fails. Additionally, pymalloc's arena mechanism may cause over-allocation of 1MB when shrinking objects above 512 bytes, adding uncertainty to memory usage.
Pain points
- Memory not returned to OS in a timely manner
- malloc_trim ineffective with jemalloc/mimalloc allocators
- pymalloc arena mechanism causes over-allocation when shrinking objects >512 bytes
Questions to verify
- Has the memory non-return phenomenon been reproduced in actual production environments?
- Has the team attempted alternative solutions to malloc_trim, or do they have explicit tests on jemalloc/mimalloc compatibility?
- Has any specific dictionary or data structure been confirmed as the root cause of memory leaks?
Evidence
quote · @Anonymous
the memory wasn't being returned to the OS, and sent a pull request that forces `malloc_trim`
quote · @Anonymous
it seems a realloc of an object that is larger than 512 bytes to a size smaller than 512 bytes may allocate a megabyte of memory
Disclaimer: this card is distilled by AI from community discussions as “pain point evidence”. It is a starting point for need analysis and validation, not a “validated market need”. AI has analytical limits; please open the original discussion above to manually verify before key decisions.