Updated Performance (markdown)

John Doe 2020-04-05 11:42:23 +05:30
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## Optimization techniques ## Optimization techniques
`nnn` uses highly optimized algorithms for performance. The significant factors are: #### `nnn` uses highly optimized algorithms for performance. The significant factors are:
- quicksort with pre-filters to sort by filename, time, size etc. - quicksort with pre-filters to sort by filename, time, size etc.
- 0 fragmentation - no byte loss while storing file name of directory entries - 0 fragmentation - no byte loss while storing file name of directory entries
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- `O3` level compiler optimization - `O3` level compiler optimization
- 0-warning statically-analyzed code (forced `-Wall -Wextra -Werror` in CI) - 0-warning statically-analyzed code (forced `-Wall -Wextra -Werror` in CI)
#### Certain optimization techniques `nnn` development ignores:
- replace quicksort with a more aggressive algorithm by favoring space over time complexity (there was also an random load once and it's removed)
- call non-standard platform-specific APIs like `getdents()`/`getdents64()` (the _Description_ section in the Linux man page starts with _These are not the interfaces you are interested in_); applies to `statx()` too
- spend time on performance optimization over 10K entries in a dir as this is not the regular case and the performance with 10K files is quite good with the current implementation (in addition SSD and NVMe are the future)
- use lazy/background load (`nnn` supports disk usage mode, sort orders and _nav-as-you-type_ as program options, so it needs to `stat` all files first for a _correct_ representation of the entries)
## Comparison ## Comparison
Stripped binary (or script) size & memory usage of `nnn` and some other popular FMs (which existed before `nnn`) while viewing a directory with 13.5K files (0 directories), sorted by size/du: Stripped binary (or script) size & memory usage of `nnn` and some other popular FMs (which existed before `nnn`) while viewing a directory with 13.5K files (0 directories), sorted by size/du: