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authorGravatar Arun Prakash Jana <engineerarun@gmail.com>2018-10-19 10:48:14 +0530
committerGravatar Arun Prakash Jana <engineerarun@gmail.com>2018-10-19 10:51:16 +0530
commit622fcdf9e789af4e99246df1fd7c8eb9818e2e37 (patch)
tree81b50cbd19fc4158080435e61ae31a18e6308ec7 /README.md
parent36223febb437197e067135be26e8fba3aa6df3f2 (diff)
downloadnnn-622fcdf9e789af4e99246df1fd7c8eb9818e2e37.tar.gz
Update memory usage data
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@@ -115,21 +115,21 @@ Have fun with it! Missing a feature? Want to contribute? Head to the rolling [To
### Performance
-`nnn` vs. ncdu memory usage in disk usage analyzer mode (401385 files on disk):
+`nnn` vs. ncdu memory usage in disk usage analyzer mode (400K files on disk):
```
PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
- 5034 vaio 20 0 70360 58764 2244 S 0.0 0.7 0:00.80 ncdu /
- 4949 vaio 20 0 17520 4224 2584 S 0.0 0.1 0:00.54 nnn -S /
+ 5034 vaio 20 0 71628 59932 2412 S 0.0 0.7 0:01.22 ncdu /
+ 4949 vaio 20 0 14812 3616 2560 S 0.0 0.0 0:00.83 nnn -S /
```
-`nnn` vs. midnight commander vs. ranger memory usage while viewing a directory with 13790 files, sorted by size:
+`nnn` vs. midnight commander vs. ranger memory usage while viewing a directory with 13.5K files, sorted by size:
```
PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
-16255 vaio 20 0 101392 59304 7928 S 0.0 0.7 0:00.68 /usr/bin/python -O /usr/bin/ranger
-15971 vaio 20 0 65732 11784 6848 S 0.0 0.1 0:00.56 mc
-16198 vaio 20 0 18520 4900 2536 S 0.3 0.1 0:00.14 nnn
+31885 vaio 20 0 139720 91220 8460 S 0.0 1.1 0:02.96 /usr/bin/python -O /usr/bin/ranger
+30108 vaio 20 0 72152 12468 7336 S 0.0 0.2 0:00.06 mc
+30168 vaio 20 0 16476 5072 2640 S 0.0 0.1 0:00.22 nnn -c 1 -i
```
Intrigued? Find out [HOW](https://github.com/jarun/nnn/wiki/performance-factors).