57 KiB
Docker run reference
Docker runs processes in isolated containers. A container is a process
which runs on a host. The host may be local or remote. When an operator
executes docker run
, the container process that runs is isolated in
that it has its own file system, its own networking, and its own
isolated process tree separate from the host.
This page details how to use the docker run
command to define the
container's resources at runtime.
General form
The basic docker run
command takes this form:
$ docker run [OPTIONS] IMAGE[:TAG|@DIGEST] [COMMAND] [ARG...]
The docker run
command must specify an IMAGE
to derive the container from. An image developer can define image
defaults related to:
- detached or foreground running
- container identification
- network settings
- runtime constraints on CPU and memory
- privileges and LXC configuration
With the docker run [OPTIONS]
an operator can add to or override the
image defaults set by a developer. And, additionally, operators can
override nearly all the defaults set by the Docker runtime itself. The
operator's ability to override image and Docker runtime defaults is why
run has more options than any
other docker
command.
To learn how to interpret the types of [OPTIONS]
, see Option
types.
Note: Depending on your Docker system configuration, you may be required to preface the
docker run
command withsudo
. To avoid having to usesudo
with thedocker
command, your system administrator can create a Unix group calleddocker
and add users to it. For more information about this configuration, refer to the Docker installation documentation for your operating system.
Operator exclusive options
Only the operator (the person executing docker run
) can set the
following options.
- Detached vs foreground
- Container identification
- IPC settings (--ipc)
- Network settings
- Restart policies (--restart)
- Clean up (--rm)
- Runtime constraints on resources
- Runtime privilege, Linux capabilities, and LXC configuration
Detached vs foreground
When starting a Docker container, you must first decide if you want to run the container in the background in a "detached" mode or in the default foreground mode:
-d=false: Detached mode: Run container in the background, print new container id
Detached (-d)
To start a container in detached mode, you use -d=true
or just -d
option. By
design, containers started in detached mode exit when the root process used to
run the container exits. A container in detached mode cannot be automatically
removed when it stops, this means you cannot use the --rm
option with -d
option.
Do not pass a service x start
command to a detached container. For example, this
command attempts to start the nginx
service.
$ docker run -d -p 80:80 my_image service nginx start
This succeeds in starting the nginx
service inside the container. However, it
fails the detached container paradigm in that, the root process (service nginx start
) returns and the detached container stops as designed. As a result, the
nginx
service is started but could not be used. Instead, to start a process
such as the nginx
web server do the following:
$ docker run -d -p 80:80 my_image nginx -g 'daemon off;'
To do input/output with a detached container use network connections or shared
volumes. These are required because the container is no longer listening to the
command line where docker run
was run.
To reattach to a detached container, use docker
attach command.
Foreground
In foreground mode (the default when -d
is not specified), docker run
can start the process in the container and attach the console to
the process's standard input, output, and standard error. It can even
pretend to be a TTY (this is what most command line executables expect)
and pass along signals. All of that is configurable:
-a=[] : Attach to `STDIN`, `STDOUT` and/or `STDERR`
-t=false : Allocate a pseudo-tty
--sig-proxy=true: Proxify all received signal to the process (non-TTY mode only)
-i=false : Keep STDIN open even if not attached
If you do not specify -a
then Docker will [attach all standard
streams]( https://github.com/docker/docker/blob/
75a7f4d90cde0295bcfb7213004abce8d4779b75/commands.go#L1797). You can
specify to which of the three standard streams (STDIN
, STDOUT
,
STDERR
) you'd like to connect instead, as in:
$ docker run -a stdin -a stdout -i -t ubuntu /bin/bash
For interactive processes (like a shell), you must use -i -t
together in
order to allocate a tty for the container process. -i -t
is often written -it
as you'll see in later examples. Specifying -t
is forbidden when the client
standard output is redirected or piped, such as in:
echo test | docker run -i busybox cat
.
Note: A process running as PID 1 inside a container is treated specially by Linux: it ignores any signal with the default action. So, the process will not terminate on
SIGINT
orSIGTERM
unless it is coded to do so.
Container identification
Name (--name)
The operator can identify a container in three ways:
- UUID long identifier ("f78375b1c487e03c9438c729345e54db9d20cfa2ac1fc3494b6eb60872e74778")
- UUID short identifier ("f78375b1c487")
- Name ("evil_ptolemy")
The UUID identifiers come from the Docker daemon, and if you do not
assign a name to the container with --name
then the daemon will also
generate a random string name too. The name can become a handy way to
add meaning to a container since you can use this name when defining
links (or any
other place you need to identify a container). This works for both
background and foreground Docker containers.
PID equivalent
Finally, to help with automation, you can have Docker write the container ID out to a file of your choosing. This is similar to how some programs might write out their process ID to a file (you've seen them as PID files):
--cidfile="": Write the container ID to the file
Image[:tag]
While not strictly a means of identifying a container, you can specify a version of an
image you'd like to run the container with by adding image[:tag]
to the command. For
example, docker run ubuntu:14.04
.
Image[@digest]
Images using the v2 or later image format have a content-addressable identifier called a digest. As long as the input used to generate the image is unchanged, the digest value is predictable and referenceable.
PID settings (--pid)
--pid="" : Set the PID (Process) Namespace mode for the container,
'host': use the host's PID namespace inside the container
By default, all containers have the PID namespace enabled.
PID namespace provides separation of processes. The PID Namespace removes the view of the system processes, and allows process ids to be reused including pid 1.
In certain cases you want your container to share the host's process namespace,
basically allowing processes within the container to see all of the processes
on the system. For example, you could build a container with debugging tools
like strace
or gdb
, but want to use these tools when debugging processes
within the container.
$ docker run --pid=host rhel7 strace -p 1234
This command would allow you to use strace
inside the container on pid 1234 on
the host.
UTS settings (--uts)
--uts="" : Set the UTS namespace mode for the container,
'host': use the host's UTS namespace inside the container
The UTS namespace is for setting the hostname and the domain that is visible
to running processes in that namespace. By default, all containers, including
those with --net=host
, have their own UTS namespace. The host
setting will
result in the container using the same UTS namespace as the host.
You may wish to share the UTS namespace with the host if you would like the hostname of the container to change as the hostname of the host changes. A more advanced use case would be changing the host's hostname from a container.
Note:
--uts="host"
gives the container full access to change the hostname of the host and is therefore considered insecure.
IPC settings (--ipc)
--ipc="" : Set the IPC mode for the container,
'container:<name|id>': reuses another container's IPC namespace
'host': use the host's IPC namespace inside the container
By default, all containers have the IPC namespace enabled.
IPC (POSIX/SysV IPC) namespace provides separation of named shared memory segments, semaphores and message queues.
Shared memory segments are used to accelerate inter-process communication at memory speed, rather than through pipes or through the network stack. Shared memory is commonly used by databases and custom-built (typically C/OpenMPI, C++/using boost libraries) high performance applications for scientific computing and financial services industries. If these types of applications are broken into multiple containers, you might need to share the IPC mechanisms of the containers.
Network settings
--dns=[] : Set custom dns servers for the container
--net="bridge" : Set the Network mode for the container
'bridge': creates a new network stack for the container on the docker bridge
'none': no networking for this container
'container:<name|id>': reuses another container network stack
'host': use the host network stack inside the container
--add-host="" : Add a line to /etc/hosts (host:IP)
--mac-address="" : Sets the container's Ethernet device's MAC address
By default, all containers have networking enabled and they can make any
outgoing connections. The operator can completely disable networking
with docker run --net none
which disables all incoming and outgoing
networking. In cases like this, you would perform I/O through files or
STDIN
and STDOUT
only.
Publishing ports and linking to other containers will not work
when --net
is anything other than the default (bridge).
Your container will use the same DNS servers as the host by default, but
you can override this with --dns
.
By default, the MAC address is generated using the IP address allocated to the
container. You can set the container's MAC address explicitly by providing a
MAC address via the --mac-address
parameter (format:12:34:56:78:9a:bc
).
Supported networking modes are:
Mode | Description |
---|---|
none | No networking in the container. |
bridge (default) | Connect the container to the bridge via veth interfaces. |
host | Use the host's network stack inside the container. |
container:<name|id> | Use the network stack of another container, specified via its *name* or *id*. |
Mode: none
With the networking mode set to none
a container will not have a
access to any external routes. The container will still have a
loopback
interface enabled in the container but it does not have any
routes to external traffic.
Mode: bridge
With the networking mode set to bridge
a container will use docker's
default networking setup. A bridge is setup on the host, commonly named
docker0
, and a pair of veth
interfaces will be created for the
container. One side of the veth
pair will remain on the host attached
to the bridge while the other side of the pair will be placed inside the
container's namespaces in addition to the loopback
interface. An IP
address will be allocated for containers on the bridge's network and
traffic will be routed though this bridge to the container.
Mode: host
With the networking mode set to host
a container will share the host's
network stack and all interfaces from the host will be available to the
container. The container's hostname will match the hostname on the host
system. Note that --add-host
--hostname
--dns
--dns-search
--dns-opt
and --mac-address
are invalid in host
netmode.
Compared to the default bridge
mode, the host
mode gives significantly
better networking performance since it uses the host's native networking stack
whereas the bridge has to go through one level of virtualization through the
docker daemon. It is recommended to run containers in this mode when their
networking performance is critical, for example, a production Load Balancer
or a High Performance Web Server.
Note:
--net="host"
gives the container full access to local system services such as D-bus and is therefore considered insecure.
Mode: container
With the networking mode set to container
a container will share the
network stack of another container. The other container's name must be
provided in the format of --net container:<name|id>
. Note that --add-host
--hostname
--dns
--dns-search
--dns-opt
and --mac-address
are
invalid in container
netmode, and --publish
--publish-all
--expose
are
also invalid in container
netmode.
Example running a Redis container with Redis binding to localhost
then
running the redis-cli
command and connecting to the Redis server over the
localhost
interface.
$ docker run -d --name redis example/redis --bind 127.0.0.1
$ # use the redis container's network stack to access localhost
$ docker run --rm -it --net container:redis example/redis-cli -h 127.0.0.1
Managing /etc/hosts
Your container will have lines in /etc/hosts
which define the hostname of the
container itself as well as localhost
and a few other common things. The
--add-host
flag can be used to add additional lines to /etc/hosts
.
$ docker run -it --add-host db-static:86.75.30.9 ubuntu cat /etc/hosts
172.17.0.22 09d03f76bf2c
fe00::0 ip6-localnet
ff00::0 ip6-mcastprefix
ff02::1 ip6-allnodes
ff02::2 ip6-allrouters
127.0.0.1 localhost
::1 localhost ip6-localhost ip6-loopback
86.75.30.9 db-static
Restart policies (--restart)
Using the --restart
flag on Docker run you can specify a restart policy for
how a container should or should not be restarted on exit.
When a restart policy is active on a container, it will be shown as either Up
or Restarting
in docker ps
. It can also be
useful to use docker events
to see the
restart policy in effect.
Docker supports the following restart policies:
Policy | Result |
---|---|
no | Do not automatically restart the container when it exits. This is the default. |
on-failure[:max-retries] | Restart only if the container exits with a non-zero exit status. Optionally, limit the number of restart retries the Docker daemon attempts. |
always | Always restart the container regardless of the exit status. When you specify always, the Docker daemon will try to restart the container indefinitely. The container will also always start on daemon startup, regardless of the current state of the container. |
unless-stopped | Always restart the container regardless of the exit status, but do not start it on daemon startup if the container has been put to a stopped state before. |
An ever increasing delay (double the previous delay, starting at 100
milliseconds) is added before each restart to prevent flooding the server.
This means the daemon will wait for 100 ms, then 200 ms, 400, 800, 1600,
and so on until either the on-failure
limit is hit, or when you docker stop
or docker rm -f
the container.
If a container is successfully restarted (the container is started and runs for at least 10 seconds), the delay is reset to its default value of 100 ms.
You can specify the maximum amount of times Docker will try to restart the
container when using the on-failure policy. The default is that Docker
will try forever to restart the container. The number of (attempted) restarts
for a container can be obtained via docker inspect
. For example, to get the number of restarts
for container "my-container";
$ docker inspect -f "{{ .RestartCount }}" my-container
# 2
Or, to get the last time the container was (re)started;
$ docker inspect -f "{{ .State.StartedAt }}" my-container
# 2015-03-04T23:47:07.691840179Z
You cannot set any restart policy in combination with
"clean up (--rm)". Setting both --restart
and --rm
results in an error.
Examples
$ docker run --restart=always redis
This will run the redis
container with a restart policy of always
so that if the container exits, Docker will restart it.
$ docker run --restart=on-failure:10 redis
This will run the redis
container with a restart policy of on-failure
and a maximum restart count of 10. If the redis
container exits with a
non-zero exit status more than 10 times in a row Docker will abort trying to
restart the container. Providing a maximum restart limit is only valid for the
on-failure policy.
Clean up (--rm)
By default a container's file system persists even after the container
exits. This makes debugging a lot easier (since you can inspect the
final state) and you retain all your data by default. But if you are
running short-term foreground processes, these container file
systems can really pile up. If instead you'd like Docker to
automatically clean up the container and remove the file system when
the container exits, you can add the --rm
flag:
--rm=false: Automatically remove the container when it exits (incompatible with -d)
Note: When you set the
--rm
flag, Docker also removes the volumes associated with the container when the container is removed. This is similar to runningdocker rm -v my-container
.
Security configuration
--security-opt="label:user:USER" : Set the label user for the container
--security-opt="label:role:ROLE" : Set the label role for the container
--security-opt="label:type:TYPE" : Set the label type for the container
--security-opt="label:level:LEVEL" : Set the label level for the container
--security-opt="label:disable" : Turn off label confinement for the container
--security-opt="apparmor:PROFILE" : Set the apparmor profile to be applied
to the container
You can override the default labeling scheme for each container by specifying
the --security-opt
flag. For example, you can specify the MCS/MLS level, a
requirement for MLS systems. Specifying the level in the following command
allows you to share the same content between containers.
$ docker run --security-opt label:level:s0:c100,c200 -i -t fedora bash
An MLS example might be:
$ docker run --security-opt label:level:TopSecret -i -t rhel7 bash
To disable the security labeling for this container versus running with the
--permissive
flag, use the following command:
$ docker run --security-opt label:disable -i -t fedora bash
If you want a tighter security policy on the processes within a container, you can specify an alternate type for the container. You could run a container that is only allowed to listen on Apache ports by executing the following command:
$ docker run --security-opt label:type:svirt_apache_t -i -t centos bash
Note: You would have to write policy defining a
svirt_apache_t
type.
Specifying custom cgroups
Using the --cgroup-parent
flag, you can pass a specific cgroup to run a
container in. This allows you to create and manage cgroups on their own. You can
define custom resources for those cgroups and put containers under a common
parent group.
Runtime constraints on resources
The operator can also adjust the performance parameters of the container:
Option | Description |
---|---|
-m , --memory="" |
Memory limit (format: <number>[<unit>] , where unit = b, k, m or g) |
--memory-swap="" |
Total memory limit (memory + swap, format: <number>[<unit>] , where unit = b, k, m or g) |
--memory-reservation="" |
Memory soft limit (format: <number>[<unit>] , where unit = b, k, m or g) |
--kernel-memory="" |
Kernel memory limit (format: <number>[<unit>] , where unit = b, k, m or g) |
-c , --cpu-shares=0 |
CPU shares (relative weight) |
--cpu-period=0 |
Limit the CPU CFS (Completely Fair Scheduler) period |
--cpuset-cpus="" |
CPUs in which to allow execution (0-3, 0,1) |
--cpuset-mems="" |
Memory nodes (MEMs) in which to allow execution (0-3, 0,1). Only effective on NUMA systems. |
--cpu-quota=0 |
Limit the CPU CFS (Completely Fair Scheduler) quota |
--blkio-weight=0 |
Block IO weight (relative weight) accepts a weight value between 10 and 1000. |
--oom-kill-disable=false |
Whether to disable OOM Killer for the container or not. |
--memory-swappiness="" |
Tune a container's memory swappiness behavior. Accepts an integer between 0 and 100. |
User memory constraints
We have four ways to set user memory usage:
Option | Result |
---|---|
memory=inf, memory-swap=inf (default) | There is no memory limit for the container. The container can use as much memory as needed. |
memory=L<inf, memory-swap=inf |
(specify memory and set memory-swap as -1 ) The container is
not allowed to use more than L bytes of memory, but can use as much swap
as is needed (if the host supports swap memory).
|
memory=L<inf, memory-swap=2*L | (specify memory without memory-swap) The container is not allowed to use more than L bytes of memory, swap *plus* memory usage is double of that. |
memory=L<inf, memory-swap=S<inf, L<=S | (specify both memory and memory-swap) The container is not allowed to use more than L bytes of memory, swap *plus* memory usage is limited by S. |
Examples:
$ docker run -ti ubuntu:14.04 /bin/bash
We set nothing about memory, this means the processes in the container can use as much memory and swap memory as they need.
$ docker run -ti -m 300M --memory-swap -1 ubuntu:14.04 /bin/bash
We set memory limit and disabled swap memory limit, this means the processes in the container can use 300M memory and as much swap memory as they need (if the host supports swap memory).
$ docker run -ti -m 300M ubuntu:14.04 /bin/bash
We set memory limit only, this means the processes in the container can use 300M memory and 300M swap memory, by default, the total virtual memory size (--memory-swap) will be set as double of memory, in this case, memory + swap would be 2*300M, so processes can use 300M swap memory as well.
$ docker run -ti -m 300M --memory-swap 1G ubuntu:14.04 /bin/bash
We set both memory and swap memory, so the processes in the container can use 300M memory and 700M swap memory.
Memory reservation is a kind of memory soft limit that allows for greater
sharing of memory. Under normal circumstances, containers can use as much of
the memory as needed and are constrained only by the hard limits set with the
-m
/--memory
option. When memory reservation is set, Docker detects memory
contention or low memory and forces containers to restrict their consumption to
a reservation limit.
Always set the memory reservation value below the hard limit, otherwise the hard limit takes precedence. A reservation of 0 is the same as setting no reservation. By default (without reservation set), memory reservation is the same as the hard memory limit.
Memory reservation is a soft-limit feature and does not guarantee the limit won't be exceeded. Instead, the feature attempts to ensure that, when memory is heavily contended for, memory is allocated based on the reservation hints/setup.
The following example limits the memory (-m
) to 500M and sets the memory
reservation to 200M.
$ docker run -ti -m 500M --memory-reservation 200M ubuntu:14.04 /bin/bash
Under this configuration, when the container consumes memory more than 200M and less than 500M, the next system memory reclaim attempts to shrink container memory below 200M.
The following example set memory reservation to 1G without a hard memory limit.
$ docker run -ti --memory-reservation 1G ubuntu:14.04 /bin/bash
The container can use as much memory as it needs. The memory reservation setting ensures the container doesn't consume too much memory for long time, because every memory reclaim shrinks the container's consumption to the reservation.
By default, kernel kills processes in a container if an out-of-memory (OOM)
error occurs. To change this behaviour, use the --oom-kill-disable
option.
Only disable the OOM killer on containers where you have also set the
-m/--memory
option. If the -m
flag is not set, this can result in the host
running out of memory and require killing the host's system processes to free
memory.
The following example limits the memory to 100M and disables the OOM killer for this container:
$ docker run -ti -m 100M --oom-kill-disable ubuntu:14.04 /bin/bash
The following example, illustrates a dangerous way to use the flag:
$ docker run -ti --oom-kill-disable ubuntu:14.04 /bin/bash
The container has unlimited memory which can cause the host to run out memory and require killing system processes to free memory.
Kernel memory constraints
Kernel memory is fundamentally different than user memory as kernel memory can't be swapped out. The inability to swap makes it possible for the container to block system services by consuming too much kernel memory. Kernel memory includes:
- stack pages
- slab pages
- sockets memory pressure
- tcp memory pressure
You can setup kernel memory limit to constrain these kinds of memory. For example, every process consumes some stack pages. By limiting kernel memory, you can prevent new processes from being created when the kernel memory usage is too high.
Kernel memory is never completely independent of user memory. Instead, you limit kernel memory in the context of the user memory limit. Assume "U" is the user memory limit and "K" the kernel limit. There are three possible ways to set limits:
Option | Result |
---|---|
U != 0, K = inf (default) | This is the standard memory limitation mechanism already present before using kernel memory. Kernel memory is completely ignored. |
U != 0, K < U | Kernel memory is a subset of the user memory. This setup is useful in deployments where the total amount of memory per-cgroup is overcommitted. Overcommitting kernel memory limits is definitely not recommended, since the box can still run out of non-reclaimable memory. In this case, the you can configure K so that the sum of all groups is never greater than the total memory. Then, freely set U at the expense of the system's service quality. |
U != 0, K > U | Since kernel memory charges are also fed to the user counter and reclamation is triggered for the container for both kinds of memory. This configuration gives the admin a unified view of memory. It is also useful for people who just want to track kernel memory usage. |
Examples:
$ docker run -ti -m 500M --kernel-memory 50M ubuntu:14.04 /bin/bash
We set memory and kernel memory, so the processes in the container can use 500M memory in total, in this 500M memory, it can be 50M kernel memory tops.
$ docker run -ti --kernel-memory 50M ubuntu:14.04 /bin/bash
We set kernel memory without -m, so the processes in the container can use as much memory as they want, but they can only use 50M kernel memory.
Swappiness constraint
By default, a container's kernel can swap out a percentage of anonymous pages.
To set this percentage for a container, specify a --memory-swappiness
value
between 0 and 100. A value of 0 turns off anonymous page swapping. A value of
100 sets all anonymous pages as swappable. By default, if you are not using
--memory-swappiness
, memory swappiness value will be inherited from the parent.
For example, you can set:
$ docker run -ti --memory-swappiness=0 ubuntu:14.04 /bin/bash
Setting the --memory-swappiness
option is helpful when you want to retain the
container's working set and to avoid swapping performance penalties.
CPU share constraint
By default, all containers get the same proportion of CPU cycles. This proportion can be modified by changing the container's CPU share weighting relative to the weighting of all other running containers.
To modify the proportion from the default of 1024, use the -c
or --cpu-shares
flag to set the weighting to 2 or higher.
The proportion will only apply when CPU-intensive processes are running. When tasks in one container are idle, other containers can use the left-over CPU time. The actual amount of CPU time will vary depending on the number of containers running on the system.
For example, consider three containers, one has a cpu-share of 1024 and two others have a cpu-share setting of 512. When processes in all three containers attempt to use 100% of CPU, the first container would receive 50% of the total CPU time. If you add a fourth container with a cpu-share of 1024, the first container only gets 33% of the CPU. The remaining containers receive 16.5%, 16.5% and 33% of the CPU.
On a multi-core system, the shares of CPU time are distributed over all CPU cores. Even if a container is limited to less than 100% of CPU time, it can use 100% of each individual CPU core.
For example, consider a system with more than three cores. If you start one
container {C0}
with -c=512
running one process, and another container
{C1}
with -c=1024
running two processes, this can result in the following
division of CPU shares:
PID container CPU CPU share
100 {C0} 0 100% of CPU0
101 {C1} 1 100% of CPU1
102 {C1} 2 100% of CPU2
CPU period constraint
The default CPU CFS (Completely Fair Scheduler) period is 100ms. We can use
--cpu-period
to set the period of CPUs to limit the container's CPU usage.
And usually --cpu-period
should work with --cpu-quota
.
Examples:
$ docker run -ti --cpu-period=50000 --cpu-quota=25000 ubuntu:14.04 /bin/bash
If there is 1 CPU, this means the container can get 50% CPU worth of run-time every 50ms.
For more information, see the CFS documentation on bandwidth limiting.
Cpuset constraint
We can set cpus in which to allow execution for containers.
Examples:
$ docker run -ti --cpuset-cpus="1,3" ubuntu:14.04 /bin/bash
This means processes in container can be executed on cpu 1 and cpu 3.
$ docker run -ti --cpuset-cpus="0-2" ubuntu:14.04 /bin/bash
This means processes in container can be executed on cpu 0, cpu 1 and cpu 2.
We can set mems in which to allow execution for containers. Only effective on NUMA systems.
Examples:
$ docker run -ti --cpuset-mems="1,3" ubuntu:14.04 /bin/bash
This example restricts the processes in the container to only use memory from memory nodes 1 and 3.
$ docker run -ti --cpuset-mems="0-2" ubuntu:14.04 /bin/bash
This example restricts the processes in the container to only use memory from memory nodes 0, 1 and 2.
CPU quota constraint
The --cpu-quota
flag limits the container's CPU usage. The default 0 value
allows the container to take 100% of a CPU resource (1 CPU). The CFS (Completely Fair
Scheduler) handles resource allocation for executing processes and is default
Linux Scheduler used by the kernel. Set this value to 50000 to limit the container
to 50% of a CPU resource. For multiple CPUs, adjust the --cpu-quota
as necessary.
For more information, see the CFS documentation on bandwidth limiting.
Block IO bandwidth (Blkio) constraint
By default, all containers get the same proportion of block IO bandwidth
(blkio). This proportion is 500. To modify this proportion, change the
container's blkio weight relative to the weighting of all other running
containers using the --blkio-weight
flag.
The --blkio-weight
flag can set the weighting to a value between 10 to 1000.
For example, the commands below create two containers with different blkio
weight:
$ docker run -ti --name c1 --blkio-weight 300 ubuntu:14.04 /bin/bash
$ docker run -ti --name c2 --blkio-weight 600 ubuntu:14.04 /bin/bash
If you do block IO in the two containers at the same time, by, for example:
$ time dd if=/mnt/zerofile of=test.out bs=1M count=1024 oflag=direct
You'll find that the proportion of time is the same as the proportion of blkio weights of the two containers.
Note: The blkio weight setting is only available for direct IO. Buffered IO is not currently supported.
Additional groups
--group-add: Add Linux capabilities
By default, the docker container process runs with the supplementary groups looked up for the specified user. If one wants to add more to that list of groups, then one can use this flag:
$ docker run -ti --rm --group-add audio --group-add dbus --group-add 777 busybox id
uid=0(root) gid=0(root) groups=10(wheel),29(audio),81(dbus),777
Runtime privilege, Linux capabilities, and LXC configuration
--cap-add: Add Linux capabilities
--cap-drop: Drop Linux capabilities
--privileged=false: Give extended privileges to this container
--device=[]: Allows you to run devices inside the container without the --privileged flag.
--lxc-conf=[]: Add custom lxc options
By default, Docker containers are "unprivileged" and cannot, for example, run a Docker daemon inside a Docker container. This is because by default a container is not allowed to access any devices, but a "privileged" container is given access to all devices (see lxc-template.go and documentation on cgroups devices).
When the operator executes docker run --privileged
, Docker will enable
to access to all devices on the host as well as set some configuration
in AppArmor or SELinux to allow the container nearly all the same access to the
host as processes running outside containers on the host. Additional
information about running with --privileged
is available on the
Docker Blog.
If you want to limit access to a specific device or devices you can use
the --device
flag. It allows you to specify one or more devices that
will be accessible within the container.
$ docker run --device=/dev/snd:/dev/snd ...
By default, the container will be able to read
, write
, and mknod
these devices.
This can be overridden using a third :rwm
set of options to each --device
flag:
$ docker run --device=/dev/sda:/dev/xvdc --rm -it ubuntu fdisk /dev/xvdc
Command (m for help): q
$ docker run --device=/dev/sda:/dev/xvdc:r --rm -it ubuntu fdisk /dev/xvdc
You will not be able to write the partition table.
Command (m for help): q
$ docker run --device=/dev/sda:/dev/xvdc:w --rm -it ubuntu fdisk /dev/xvdc
crash....
$ docker run --device=/dev/sda:/dev/xvdc:m --rm -it ubuntu fdisk /dev/xvdc
fdisk: unable to open /dev/xvdc: Operation not permitted
In addition to --privileged
, the operator can have fine grain control over the
capabilities using --cap-add
and --cap-drop
. By default, Docker has a default
list of capabilities that are kept. The following table lists the Linux capability options which can be added or dropped.
Capability Key | Capability Description |
---|---|
SETPCAP | Modify process capabilities. |
SYS_MODULE | Load and unload kernel modules. |
SYS_RAWIO | Perform I/O port operations (iopl(2) and ioperm(2)). |
SYS_PACCT | Use acct(2), switch process accounting on or off. |
SYS_ADMIN | Perform a range of system administration operations. |
SYS_NICE | Raise process nice value (nice(2), setpriority(2)) and change the nice value for arbitrary processes. |
SYS_RESOURCE | Override resource Limits. |
SYS_TIME | Set system clock (settimeofday(2), stime(2), adjtimex(2)); set real-time (hardware) clock. |
SYS_TTY_CONFIG | Use vhangup(2); employ various privileged ioctl(2) operations on virtual terminals. |
MKNOD | Create special files using mknod(2). |
AUDIT_WRITE | Write records to kernel auditing log. |
AUDIT_CONTROL | Enable and disable kernel auditing; change auditing filter rules; retrieve auditing status and filtering rules. |
MAC_OVERRIDE | Allow MAC configuration or state changes. Implemented for the Smack LSM. |
MAC_ADMIN | Override Mandatory Access Control (MAC). Implemented for the Smack Linux Security Module (LSM). |
NET_ADMIN | Perform various network-related operations. |
SYSLOG | Perform privileged syslog(2) operations. |
CHOWN | Make arbitrary changes to file UIDs and GIDs (see chown(2)). |
NET_RAW | Use RAW and PACKET sockets. |
DAC_OVERRIDE | Bypass file read, write, and execute permission checks. |
FOWNER | Bypass permission checks on operations that normally require the file system UID of the process to match the UID of the file. |
DAC_READ_SEARCH | Bypass file read permission checks and directory read and execute permission checks. |
FSETID | Don't clear set-user-ID and set-group-ID permission bits when a file is modified. |
KILL | Bypass permission checks for sending signals. |
SETGID | Make arbitrary manipulations of process GIDs and supplementary GID list. |
SETUID | Make arbitrary manipulations of process UIDs. |
LINUX_IMMUTABLE | Set the FS_APPEND_FL and FS_IMMUTABLE_FL i-node flags. |
NET_BIND_SERVICE | Bind a socket to internet domain privileged ports (port numbers less than 1024). |
NET_BROADCAST | Make socket broadcasts, and listen to multicasts. |
IPC_LOCK | Lock memory (mlock(2), mlockall(2), mmap(2), shmctl(2)). |
IPC_OWNER | Bypass permission checks for operations on System V IPC objects. |
SYS_CHROOT | Use chroot(2), change root directory. |
SYS_PTRACE | Trace arbitrary processes using ptrace(2). |
SYS_BOOT | Use reboot(2) and kexec_load(2), reboot and load a new kernel for later execution. |
LEASE | Establish leases on arbitrary files (see fcntl(2)). |
SETFCAP | Set file capabilities. |
WAKE_ALARM | Trigger something that will wake up the system. |
BLOCK_SUSPEND | Employ features that can block system suspend. |
Further reference information is available on the capabilities(7) - Linux man page
Both flags support the value ALL
, so if the
operator wants to have all capabilities but MKNOD
they could use:
$ docker run --cap-add=ALL --cap-drop=MKNOD ...
For interacting with the network stack, instead of using --privileged
they
should use --cap-add=NET_ADMIN
to modify the network interfaces.
$ docker run -t -i --rm ubuntu:14.04 ip link add dummy0 type dummy
RTNETLINK answers: Operation not permitted
$ docker run -t -i --rm --cap-add=NET_ADMIN ubuntu:14.04 ip link add dummy0 type dummy
To mount a FUSE based filesystem, you need to combine both --cap-add
and
--device
:
$ docker run --rm -it --cap-add SYS_ADMIN sshfs sshfs sven@10.10.10.20:/home/sven /mnt
fuse: failed to open /dev/fuse: Operation not permitted
$ docker run --rm -it --device /dev/fuse sshfs sshfs sven@10.10.10.20:/home/sven /mnt
fusermount: mount failed: Operation not permitted
$ docker run --rm -it --cap-add SYS_ADMIN --device /dev/fuse sshfs
# sshfs sven@10.10.10.20:/home/sven /mnt
The authenticity of host '10.10.10.20 (10.10.10.20)' can't be established.
ECDSA key fingerprint is 25:34:85:75:25:b0:17:46:05:19:04:93:b5:dd:5f:c6.
Are you sure you want to continue connecting (yes/no)? yes
sven@10.10.10.20's password:
root@30aa0cfaf1b5:/# ls -la /mnt/src/docker
total 1516
drwxrwxr-x 1 1000 1000 4096 Dec 4 06:08 .
drwxrwxr-x 1 1000 1000 4096 Dec 4 11:46 ..
-rw-rw-r-- 1 1000 1000 16 Oct 8 00:09 .dockerignore
-rwxrwxr-x 1 1000 1000 464 Oct 8 00:09 .drone.yml
drwxrwxr-x 1 1000 1000 4096 Dec 4 06:11 .git
-rw-rw-r-- 1 1000 1000 461 Dec 4 06:08 .gitignore
....
If the Docker daemon was started using the lxc
exec-driver
(docker daemon --exec-driver=lxc
) then the operator can also specify LXC options
using one or more --lxc-conf
parameters. These can be new parameters or
override existing parameters from the lxc-template.go.
Note that in the future, a given host's docker daemon may not use LXC, so this
is an implementation-specific configuration meant for operators already
familiar with using LXC directly.
Note: If you use
--lxc-conf
to modify a container's configuration which is also managed by the Docker daemon, then the Docker daemon will not know about this modification, and you will need to manage any conflicts yourself. For example, you can use--lxc-conf
to set a container's IP address, but this will not be reflected in the/etc/hosts
file.
Logging drivers (--log-driver)
The container can have a different logging driver than the Docker daemon. Use
the --log-driver=VALUE
with the docker run
command to configure the
container's logging driver. The following options are supported:
none |
Disables any logging for the container. docker logs won't be available with this driver. |
---|---|
json-file |
Default logging driver for Docker. Writes JSON messages to file. No logging options are supported for this driver. |
syslog |
Syslog logging driver for Docker. Writes log messages to syslog. |
journald |
Journald logging driver for Docker. Writes log messages to journald . |
gelf |
Graylog Extended Log Format (GELF) logging driver for Docker. Writes log messages to a GELF endpoint likeGraylog or Logstash. |
fluentd |
Fluentd logging driver for Docker. Writes log messages to fluentd (forward input). |
awslogs |
Amazon CloudWatch Logs logging driver for Docker. Writes log messages to Amazon CloudWatch Logs |
The docker logs
command is available only for the json-file
and journald
logging drivers. For detailed information on working with logging drivers, see
Configure a logging driver.
Overriding Dockerfile image defaults
When a developer builds an image from a Dockerfile or when she commits it, the developer can set a number of default parameters that take effect when the image starts up as a container.
Four of the Dockerfile commands cannot be overridden at runtime: FROM
,
MAINTAINER
, RUN
, and ADD
. Everything else has a corresponding override
in docker run
. We'll go through what the developer might have set in each
Dockerfile instruction and how the operator can override that setting.
- CMD (Default Command or Options)
- ENTRYPOINT (Default Command to Execute at Runtime)
- EXPOSE (Incoming Ports)
- ENV (Environment Variables)
- VOLUME (Shared Filesystems)
- USER
- WORKDIR
CMD (default command or options)
Recall the optional COMMAND
in the Docker
commandline:
$ docker run [OPTIONS] IMAGE[:TAG|@DIGEST] [COMMAND] [ARG...]
This command is optional because the person who created the IMAGE
may
have already provided a default COMMAND
using the Dockerfile CMD
instruction. As the operator (the person running a container from the
image), you can override that CMD
instruction just by specifying a new
COMMAND
.
If the image also specifies an ENTRYPOINT
then the CMD
or COMMAND
get appended as arguments to the ENTRYPOINT
.
ENTRYPOINT (default command to execute at runtime)
--entrypoint="": Overwrite the default entrypoint set by the image
The ENTRYPOINT
of an image is similar to a COMMAND
because it
specifies what executable to run when the container starts, but it is
(purposely) more difficult to override. The ENTRYPOINT
gives a
container its default nature or behavior, so that when you set an
ENTRYPOINT
you can run the container as if it were that binary,
complete with default options, and you can pass in more options via the
COMMAND
. But, sometimes an operator may want to run something else
inside the container, so you can override the default ENTRYPOINT
at
runtime by using a string to specify the new ENTRYPOINT
. Here is an
example of how to run a shell in a container that has been set up to
automatically run something else (like /usr/bin/redis-server
):
$ docker run -i -t --entrypoint /bin/bash example/redis
or two examples of how to pass more parameters to that ENTRYPOINT:
$ docker run -i -t --entrypoint /bin/bash example/redis -c ls -l
$ docker run -i -t --entrypoint /usr/bin/redis-cli example/redis --help
EXPOSE (incoming ports)
The following run
command options work with container networking:
--expose=[]: Expose a port or a range of ports inside the container.
These are additional to those exposed by the `EXPOSE` instruction
-P=false : Publish all exposed ports to the host interfaces
-p=[] : Publish a container᾿s port or a range of ports to the host
format: ip:hostPort:containerPort | ip::containerPort | hostPort:containerPort | containerPort
Both hostPort and containerPort can be specified as a
range of ports. When specifying ranges for both, the
number of container ports in the range must match the
number of host ports in the range, for example:
-p 1234-1236:1234-1236/tcp
When specifying a range for hostPort only, the
containerPort must not be a range. In this case the
container port is published somewhere within the
specified hostPort range. (e.g., `-p 1234-1236:1234/tcp`)
(use 'docker port' to see the actual mapping)
--link="" : Add link to another container (<name or id>:alias or <name or id>)
With the exception of the EXPOSE
directive, an image developer hasn't
got much control over networking. The EXPOSE
instruction defines the
initial incoming ports that provide services. These ports are available
to processes inside the container. An operator can use the --expose
option to add to the exposed ports.
To expose a container's internal port, an operator can start the
container with the -P
or -p
flag. The exposed port is accessible on
the host and the ports are available to any client that can reach the
host.
The -P
option publishes all the ports to the host interfaces. Docker
binds each exposed port to a random port on the host. The range of
ports are within an ephemeral port range defined by
/proc/sys/net/ipv4/ip_local_port_range
. Use the -p
flag to
explicitly map a single port or range of ports.
The port number inside the container (where the service listens) does
not need to match the port number exposed on the outside of the
container (where clients connect). For example, inside the container an
HTTP service is listening on port 80 (and so the image developer
specifies EXPOSE 80
in the Dockerfile). At runtime, the port might be
bound to 42800 on the host. To find the mapping between the host ports
and the exposed ports, use docker port
.
If the operator uses --link
when starting a new client container,
then the client container can access the exposed port via a private
networking interface. Docker will set some environment variables in the
client container to help indicate which interface and port to use. For
more information on linking, see the guide on linking container
together
ENV (environment variables)
When a new container is created, Docker will set the following environment variables automatically:
Variable | Value |
---|---|
HOME |
Set based on the value of USER
|
HOSTNAME |
The hostname associated with the container |
PATH |
Includes popular directories, such as :/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
|
TERM |
xterm if the container is allocated a pseudo-TTY |
The container may also include environment variables defined as a result of the container being linked with another container. See the Container Links section for more details.
Additionally, the operator can set any environment variable in the
container by using one or more -e
flags, even overriding those mentioned
above, or already defined by the developer with a Dockerfile ENV
:
$ docker run -e "deep=purple" --rm ubuntu /bin/bash -c export
declare -x HOME="/"
declare -x HOSTNAME="85bc26a0e200"
declare -x OLDPWD
declare -x PATH="/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin"
declare -x PWD="/"
declare -x SHLVL="1"
declare -x container="lxc"
declare -x deep="purple"
Similarly the operator can set the hostname with -h
.
--link <name or id>:alias
also sets environment variables, using the alias string to
define environment variables within the container that give the IP and PORT
information for connecting to the service container. Let's imagine we have a
container running Redis:
# Start the service container, named redis-name
$ docker run -d --name redis-name dockerfiles/redis
4241164edf6f5aca5b0e9e4c9eccd899b0b8080c64c0cd26efe02166c73208f3
# The redis-name container exposed port 6379
$ docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
4241164edf6f $ dockerfiles/redis:latest /redis-stable/src/re 5 seconds ago Up 4 seconds 6379/tcp redis-name
# Note that there are no public ports exposed since we didn᾿t use -p or -P
$ docker port 4241164edf6f 6379
2014/01/25 00:55:38 Error: No public port '6379' published for 4241164edf6f
Yet we can get information about the Redis container's exposed ports
with --link
. Choose an alias that will form a
valid environment variable!
$ docker run --rm --link redis-name:redis_alias --entrypoint /bin/bash dockerfiles/redis -c export
declare -x HOME="/"
declare -x HOSTNAME="acda7f7b1cdc"
declare -x OLDPWD
declare -x PATH="/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin"
declare -x PWD="/"
declare -x REDIS_ALIAS_NAME="/distracted_wright/redis"
declare -x REDIS_ALIAS_PORT="tcp://172.17.0.32:6379"
declare -x REDIS_ALIAS_PORT_6379_TCP="tcp://172.17.0.32:6379"
declare -x REDIS_ALIAS_PORT_6379_TCP_ADDR="172.17.0.32"
declare -x REDIS_ALIAS_PORT_6379_TCP_PORT="6379"
declare -x REDIS_ALIAS_PORT_6379_TCP_PROTO="tcp"
declare -x SHLVL="1"
declare -x container="lxc"
And we can use that information to connect from another container as a client:
$ docker run -i -t --rm --link redis-name:redis_alias --entrypoint /bin/bash dockerfiles/redis -c '/redis-stable/src/redis-cli -h $REDIS_ALIAS_PORT_6379_TCP_ADDR -p $REDIS_ALIAS_PORT_6379_TCP_PORT'
172.17.0.32:6379>
Docker will also map the private IP address to the alias of a linked
container by inserting an entry into /etc/hosts
. You can use this
mechanism to communicate with a linked container by its alias:
$ docker run -d --name servicename busybox sleep 30
$ docker run -i -t --link servicename:servicealias busybox ping -c 1 servicealias
If you restart the source container (servicename
in this case), the recipient
container's /etc/hosts
entry will be automatically updated.
Note: Unlike host entries in the
/etc/hosts
file, IP addresses stored in the environment variables are not automatically updated if the source container is restarted. We recommend using the host entries in/etc/hosts
to resolve the IP address of linked containers.
VOLUME (shared filesystems)
-v=[]: Create a bind mount with: [host-dir:]container-dir[:rw|ro].
If 'host-dir' is missing, then docker creates a new volume.
If neither 'rw' or 'ro' is specified then the volume is mounted
in read-write mode.
--volumes-from="": Mount all volumes from the given container(s)
The volumes commands are complex enough to have their own documentation
in section Managing data in
containers. A developer can define
one or more VOLUME
's associated with an image, but only the operator
can give access from one container to another (or from a container to a
volume mounted on the host).
The container-dir
must always be an absolute path such as /src/docs
.
The host-dir
can either be an absolute path or a name
value. If you
supply an absolute path for the host-dir
, Docker bind-mounts to the path
you specify. If you supply a name
, Docker creates a named volume by that name
.
A name
value must start with start with an alphanumeric character,
followed by a-z0-9
, _
(underscore), .
(period) or -
(hyphen).
An absolute path starts with a /
(forward slash).
For example, you can specify either /foo
or foo
for a host-dir
value.
If you supply the /foo
value, Docker creates a bind-mount. If you supply
the foo
specification, Docker creates a named volume.
USER
root
(id = 0) is the default user within a container. The image developer can
create additional users. Those users are accessible by name. When passing a numeric
ID, the user does not have to exist in the container.
The developer can set a default user to run the first process with the
Dockerfile USER
instruction. When starting a container, the operator can override
the USER
instruction by passing the -u
option.
-u="": Username or UID
Note: if you pass a numeric uid, it must be in the range of 0-2147483647.
WORKDIR
The default working directory for running binaries within a container is the
root directory (/
), but the developer can set a different default with the
Dockerfile WORKDIR
command. The operator can override this with:
-w="": Working directory inside the container