2016-10-14 18:30:36 -04:00
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---
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title: "stats"
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description: "The stats command description and usage"
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2016-11-03 18:48:30 -04:00
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keywords: "container, resource, statistics"
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2016-10-14 18:30:36 -04:00
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---
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2015-06-21 16:41:38 -04:00
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# stats
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2016-07-07 14:43:18 -04:00
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```markdown
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Usage: docker stats [OPTIONS] [CONTAINER...]
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2016-07-07 14:43:18 -04:00
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Display a live stream of container(s) resource usage statistics
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2015-06-21 16:41:38 -04:00
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2016-07-07 14:43:18 -04:00
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Options:
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-a, --all Show all containers (default shows just running)
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--format string Pretty-print images using a Go template
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--help Print usage
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--no-stream Disable streaming stats and only pull the first result
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--no-trunc Don't truncate output
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2016-07-07 14:43:18 -04:00
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```
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2015-06-21 16:41:38 -04:00
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2017-02-07 18:42:48 -05:00
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## Description
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2020-04-19 09:43:08 -04:00
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The `docker stats` command returns a live data stream for running containers. To
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limit data to one or more specific containers, specify a list of container names
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or ids separated by a space. You can specify a stopped container but stopped
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containers do not return any data.
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If you need more detailed information about a container's resource usage, use
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the `/containers/(id)/stats` API endpoint.
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> **Note**
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>
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> On Linux, the Docker CLI reports memory usage by subtracting cache usage from
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> the total memory usage. The API does not perform such a calculation but rather
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> provides the total memory usage and the amount from the cache so that clients
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> can use the data as needed. The cache usage is defined as the value of
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> `total_inactive_file` field in the `memory.stat` file on cgroup v1 hosts.
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>
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> On Docker 19.03 and older, the cache usage was defined as the value of `cache`
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> field. On cgroup v2 hosts, the cache usage is defined as the value of
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> `inactive_file` field.
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> **Note**
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>
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> The `PIDS` column contains the number of processes and kernel threads created
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> by that container. Threads is the term used by Linux kernel. Other equivalent
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> terms are "lightweight process" or "kernel task", etc. A large number in the
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> `PIDS` column combined with a small number of processes (as reported by `ps`
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> or `top`) may indicate that something in the container is creating many threads.
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2018-05-08 15:16:15 -04:00
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2015-10-03 08:53:25 -04:00
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## Examples
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2016-09-07 19:08:51 -04:00
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Running `docker stats` on all running containers against a Linux daemon.
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2015-10-03 08:53:25 -04:00
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2017-02-07 18:42:48 -05:00
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```bash
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$ docker stats
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CONTAINER ID NAME CPU % MEM USAGE / LIMIT MEM % NET I/O BLOCK I/O PIDS
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b95a83497c91 awesome_brattain 0.28% 5.629MiB / 1.952GiB 0.28% 916B / 0B 147kB / 0B 9
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67b2525d8ad1 foobar 0.00% 1.727MiB / 1.952GiB 0.09% 2.48kB / 0B 4.11MB / 0B 2
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e5c383697914 test-1951.1.kay7x1lh1twk9c0oig50sd5tr 0.00% 196KiB / 1.952GiB 0.01% 71.2kB / 0B 770kB / 0B 1
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4bda148efbc0 random.1.vnc8on831idyr42slu578u3cr 0.00% 1.672MiB / 1.952GiB 0.08% 110kB / 0B 578kB / 0B 2
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2017-02-07 18:42:48 -05:00
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```
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2018-01-31 20:05:54 -05:00
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If you don't [specify a format string using `--format`](#formatting), the
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following columns are shown.
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| Column name | Description |
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|---------------------------|-----------------------------------------------------------------------------------------------|
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| `CONTAINER ID` and `Name` | the ID and name of the container |
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| `CPU %` and `MEM %` | the percentage of the host's CPU and memory the container is using |
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| `MEM USAGE / LIMIT` | the total memory the container is using, and the total amount of memory it is allowed to use |
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| `NET I/O` | The amount of data the container has sent and received over its network interface |
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| `BLOCK I/O` | The amount of data the container has read to and written from block devices on the host |
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| `PIDs` | the number of processes or threads the container has created |
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2016-09-07 19:08:51 -04:00
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Running `docker stats` on multiple containers by name and id against a Linux daemon.
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2017-02-07 18:42:48 -05:00
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```bash
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$ docker stats awesome_brattain 67b2525d8ad1
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CONTAINER ID NAME CPU % MEM USAGE / LIMIT MEM % NET I/O BLOCK I/O PIDS
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b95a83497c91 awesome_brattain 0.28% 5.629MiB / 1.952GiB 0.28% 916B / 0B 147kB / 0B 9
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67b2525d8ad1 foobar 0.00% 1.727MiB / 1.952GiB 0.09% 2.48kB / 0B 4.11MB / 0B 2
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```
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2016-09-07 19:08:51 -04:00
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2017-02-15 01:20:30 -05:00
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Running `docker stats` with customized format on all (Running and Stopped) containers.
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```bash
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$ docker stats --all --format "table {{.Container}}\t{{.CPUPerc}}\t{{.MemUsage}}" fervent_panini 5acfcb1b4fd1 drunk_visvesvaraya big_heisenberg
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CONTAINER CPU % MEM USAGE / LIMIT
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fervent_panini 0.00% 56KiB / 15.57GiB
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5acfcb1b4fd1 0.07% 32.86MiB / 15.57GiB
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drunk_visvesvaraya 0.00% 0B / 0B
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big_heisenberg 0.00% 0B / 0B
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2017-02-15 01:20:30 -05:00
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```
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`drunk_visvesvaraya` and `big_heisenberg` are stopped containers in the above example.
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2016-09-07 19:08:51 -04:00
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Running `docker stats` on all running containers against a Windows daemon.
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2017-02-07 18:42:48 -05:00
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```powershell
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PS E:\> docker stats
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CONTAINER ID CPU % PRIV WORKING SET NET I/O BLOCK I/O
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09d3bb5b1604 6.61% 38.21 MiB 17.1 kB / 7.73 kB 10.7 MB / 3.57 MB
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9db7aa4d986d 9.19% 38.26 MiB 15.2 kB / 7.65 kB 10.6 MB / 3.3 MB
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3f214c61ad1d 0.00% 28.64 MiB 64 kB / 6.84 kB 4.42 MB / 6.93 MB
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```
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2016-09-07 19:08:51 -04:00
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Running `docker stats` on multiple containers by name and id against a Windows daemon.
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2017-02-07 18:42:48 -05:00
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```powershell
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PS E:\> docker ps -a
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CONTAINER ID NAME IMAGE COMMAND CREATED STATUS PORTS NAMES
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3f214c61ad1d awesome_brattain nanoserver "cmd" 2 minutes ago Up 2 minutes big_minsky
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9db7aa4d986d mad_wilson windowsservercore "cmd" 2 minutes ago Up 2 minutes mad_wilson
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09d3bb5b1604 fervent_panini windowsservercore "cmd" 2 minutes ago Up 2 minutes affectionate_easley
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PS E:\> docker stats 3f214c61ad1d mad_wilson
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CONTAINER ID NAME CPU % PRIV WORKING SET NET I/O BLOCK I/O
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3f214c61ad1d awesome_brattain 0.00% 46.25 MiB 76.3 kB / 7.92 kB 10.3 MB / 14.7 MB
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9db7aa4d986d mad_wilson 9.59% 40.09 MiB 27.6 kB / 8.81 kB 17 MB / 20.1 MB
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2017-02-07 18:42:48 -05:00
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```
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2016-09-25 10:07:15 -04:00
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2017-02-07 18:42:48 -05:00
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### Formatting
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The formatting option (`--format`) pretty prints container output
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using a Go template.
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Valid placeholders for the Go template are listed below:
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Placeholder | Description
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------------ | --------------------------------------------
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`.Container` | Container name or ID (user input)
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`.Name` | Container name
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`.ID` | Container ID
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`.CPUPerc` | CPU percentage
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`.MemUsage` | Memory usage
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`.NetIO` | Network IO
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`.BlockIO` | Block IO
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`.MemPerc` | Memory percentage (Not available on Windows)
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`.PIDs` | Number of PIDs (Not available on Windows)
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When using the `--format` option, the `stats` command either
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outputs the data exactly as the template declares or, when using the
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`table` directive, includes column headers as well.
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The following example uses a template without headers and outputs the
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`Container` and `CPUPerc` entries separated by a colon (`:`) for all images:
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```bash
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$ docker stats --format "{{.Container}}: {{.CPUPerc}}"
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09d3bb5b1604: 6.61%
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9db7aa4d986d: 9.19%
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3f214c61ad1d: 0.00%
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```
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To list all containers statistics with their name, CPU percentage and memory
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usage in a table format you can use:
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```bash
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$ docker stats --format "table {{.Container}}\t{{.CPUPerc}}\t{{.MemUsage}}"
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CONTAINER CPU % PRIV WORKING SET
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1285939c1fd3 0.07% 796 KiB / 64 MiB
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9c76f7834ae2 0.07% 2.746 MiB / 64 MiB
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d1ea048f04e4 0.03% 4.583 MiB / 64 MiB
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```
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The default format is as follows:
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On Linux:
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"table {{.ID}}\t{{.Name}}\t{{.CPUPerc}}\t{{.MemUsage}}\t{{.MemPerc}}\t{{.NetIO}}\t{{.BlockIO}}\t{{.PIDs}}"
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On Windows:
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"table {{.ID}}\t{{.Name}}\t{{.CPUPerc}}\t{{.MemUsage}}\t{{.NetIO}}\t{{.BlockIO}}"
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