Display memory used by processes in human readable form using Python script.
Install cross-platform psutil library for process and system monitoring in Python.
$ sudo apt-get install python-psutil
Reading package lists... Done Building dependency tree Reading state information... Done Suggested packages: python-psutil-doc The following NEW packages will be installed: python-psutil 0 upgraded, 1 newly installed, 0 to remove and 2 not upgraded. Need to get 127 kB of archives. After this operation, 646 kB of additional disk space will be used. Get:1 http://ftp.task.gda.pl/debian stretch/main amd64 python-psutil amd64 5.0.1-1 [127 kB] Fetched 127 kB in 0s (476 kB/s) Selecting previously unselected package python-psutil. (Reading database ... 125847 files and directories currently installed.) Preparing to unpack .../python-psutil_5.0.1-1_amd64.deb ... Unpacking python-psutil (5.0.1-1) ... Setting up python-psutil (5.0.1-1) ...
Python script that will display top twenty processes using the most memory.
#!/usr/bin/python
import os
import psutil
import math
def pretty_memory_size(nbytes):
metric = ("B", "kB", "MB", "GB", "TB")
if nbytes == 0:
return "%s %s" % ("0", "B")
nunit = int(math.floor(math.log(nbytes, 1024)))
nsize = round(nbytes/(math.pow(1024, nunit)), 2)
return '%s %s' % (format(nsize, ".2f"), metric[nunit])
for p in sorted(psutil.process_iter(), key=lambda p: p.memory_info().rss, reverse=True)[:20]:
print("%5s %10s %s" % (p.pid, pretty_memory_size(p.memory_info().rss), " ".join(filter(None,p.cmdline())) if p.cmdline() else p.name()))
Sample usage.
$ python process_mem.py
16933 577.25 MB unicorn worker[0] -D -E production -c /var/opt/gitlab/gitlab-rails/etc/unicorn.rb /opt/gitlab/embedded/service/gitlab-rails/config.ru 25883 573.46 MB unicorn worker[1] -D -E production -c /var/opt/gitlab/gitlab-rails/etc/unicorn.rb /opt/gitlab/embedded/service/gitlab-rails/config.ru 4342 549.24 MB unicorn worker[2] -D -E production -c /var/opt/gitlab/gitlab-rails/etc/unicorn.rb /opt/gitlab/embedded/service/gitlab-rails/config.ru 4185 515.62 MB sidekiq 5.2.1 gitlab-rails [0 of 25 busy] 4228 449.37 MB unicorn master -D -E production -c /var/opt/gitlab/gitlab-rails/etc/unicorn.rb /opt/gitlab/embedded/service/gitlab-rails/config.ru 4154 153.43 MB /opt/gitlab/embedded/bin/prometheus -web.listen-address=localhost:9090 -storage.local.path=/var/opt/gitlab/prometheus/data -storage.local.chunk-encoding-version=2 -storage.local.target-heap-size=191620055 -config.file=/var/opt/gitlab/prometheus/prometheus.yml 396 81.21 MB /usr/bin/dockerd -H fd:// 4150 73.54 MB /opt/gitlab/embedded/bin/postgres -D /var/opt/gitlab/postgresql/data 4019 66.63 MB ruby /opt/gitlab/embedded/service/gitaly-ruby/bin/gitaly-ruby 3999 /tmp/gitaly-ruby726085140/socket.1 4016 65.13 MB ruby /opt/gitlab/embedded/service/gitaly-ruby/bin/gitaly-ruby 3999 /tmp/gitaly-ruby726085140/socket.0 4011 41.59 MB /opt/gitlab/embedded/bin/ruby /opt/gitlab/embedded/bin/gitlab-mon web -c /var/opt/gitlab/gitlab-monitor/gitlab-monitor.yml 434 38.57 MB docker-containerd --config /var/run/docker/containerd/containerd.toml 17094 35.31 MB postgres: gitlab gitlabhq_production [local] idle 4353 35.30 MB postgres: gitlab gitlabhq_production [local] idle 8948 35.25 MB postgres: gitlab gitlabhq_production [local] idle 24312 35.18 MB postgres: gitlab gitlabhq_production [local] idle 24306 35.02 MB postgres: gitlab gitlabhq_production [local] idle 24437 34.95 MB postgres: gitlab gitlabhq_production [local] idle 24321 34.83 MB postgres: gitlab gitlabhq_production [local] idle 24359 34.82 MB postgres: gitlab gitlabhq_production [local] idle