Bitbucket Server is an on-premises source code management solution for Git that's secure, fast, and enterprise grade. Create and manage repositories, set up fine-grained permissions, and collaborate on code - all with the flexibility of your servers.
Learn more about Bitbucket Server: https://www.atlassian.com/software/bitbucket/server
This Docker container makes it easy to get an instance of Bitbucket up and running.
** If running this image in a production environment, we strongly recommend you run this image using a specific version tag instead of latest. This is because the image referenced by the latest tag changes often and we cannot guarantee that it will be backwards compatible. **
For the BITBUCKET_HOME
directory that is used to store the repository data
(amongst other things) we recommend mounting a host directory as a
data volume,
or via a named volume if using a docker version >= 1.9.
Additionally, if running Bitbucket in Data Center mode it is required that a shared filesystem is mounted.
Volume permission is managed by entry scripts. To get started you can use a data volume, or named volumes. In this example we'll use named volumes.
$> docker volume create --name bitbucketVolume
$> docker run -v bitbucketVolume:/var/atlassian/application-data/bitbucket --name="bitbucket" -d -p 7990:7990 -p 7999:7999 atlassian/bitbucket-server
Note that this command can substitute folder paths with named volumes.
Start Atlassian Bitbucket Server:
$> docker run -v /data/bitbucket:/var/atlassian/application-data/bitbucket --name="bitbucket" -d -p 7990:7990 -p 7999:7999 atlassian/bitbucket-server
Success. Bitbucket is now available on http://localhost:7990*
Please ensure your container has the necessary resources allocated to it. We recommend 2GiB of memory allocated to accommodate both the application server and the git processes. See Supported Platforms for further information.
* Note: If you are using docker-machine
on Mac OS X, please use open http://$(docker-machine ip default):7990
instead.
If Bitbucket is run behind a reverse proxy server as described here, then you need to specify extra options to make Bitbucket aware of the setup. They can be controlled via the below environment variables.
-
SERVER_PROXY_NAME
(default: NONE)The reverse proxy's fully qualified hostname.
-
SERVER_PROXY_PORT
(default: NONE)The reverse proxy's port number via which bitbucket is accessed.
-
SERVER_SCHEME
(default: http)The protocol via which bitbucket is accessed.
-
SERVER_SECURE
(default: false)Set 'true' if SERVER_SCHEME is 'https'.
If you need to override Bitbucket Server's default memory configuration or pass additional JVM arguments, use the environment variables below
-
JVM_MINIMUM_MEMORY
(default: 512m)The minimum heap size of the JVM
-
JVM_MAXIMUM_MEMORY
(default: 1024m)The maximum heap size of the JVM
-
JVM_SUPPORT_RECOMMENDED_ARGS
(default: NONE)Additional JVM arguments for Bitbucket Server, such as a custom Java Trust Store
This docker image can be run as a Smart Mirror or as part of a Data Center cluster. You can specify the following properties to start Bitbucket as a mirror or as a Data Center node:
-
ELASTICSEARCH_ENABLED
(default: true)Set 'false' to prevent Elasticsearch from starting in the container. This should be used if Elasticsearch is running remotely, e.g. for if Bitbucket is running in a Data Center cluster
-
APPLICATION_MODE
(default: default)The mode Bitbucket will run in. This can be set to 'mirror' to start Bitbucket as a Smart Mirror. This will also disable Elasticsearch even if
ELASTICSEARCH_ENABLED
has not been set to 'false'.
To configure the database automatically on first run, you can provide the following settings:
JDBC_DRIVER
JDBC_URL
JDBC_USER
JDBC_PASSWORD
Note: Due to licensing restrictions Bitbucket does not ship with a MySQL or Oracle JDBC drivers. To use these databases you will need to copy a suitable driver into the container and restart it. For example, to copy the MySQL driver into a container named "bitbucket", you would do the following:
docker cp mysql-connector-java.x.y.z.jar bitbucket:/opt/atlassian/bitbucket/lib
docker restart bitbucket
For more information see Connecting Bitbucket Server to an external database.
As well as the above settings, all settings that are available in the bitbucket.properties file can also be provided via Docker environment variables. For a full explanation of converting Bitbucket properties into environment variables see the relevant Spring Boot documentation.
For example, a full command-line for a Bitbucket node with a PostgreSQL database, and an external ElasticSearch instance might look like:
$> docker network create --driver bridge --subnet=172.18.0.0/16 myBitbucketNetwork
$> docker run --network=myBitbucketNetwork --ip=172.18.1.1 \
-e ELASTICSEARCH_ENABLED=false \
-e JDBC_DRIVER=org.postgresql.Driver \
-e JDBC_USER=atlbitbucket \
-e JDBC_PASSWORD=MYPASSWORDSECRET \
-e JDBC_URL=jdbc:postgresql://my.database.host:5432/bitbucket \
-e PLUGIN_SEARCH_ELASTICSEARCH_BASEURL=http://my.elasticsearch.host \
-v /data/bitbucket-shared:/var/atlassian/application-data/bitbucket/shared \
--name="bitbucket" \
-d -p 7990:7990 -p 7999:7999 \
atlassian/bitbucket-server
If running a clustered Bitbucket DC instance, the cluster settings are specified
with HAZELCAST_*
environment variables. The main ones to be aware of are:
HAZELCAST_PORT
(hazelcast.port
)HAZELCAST_GROUP_NAME
(hazelcast.group.name
)HAZELCAST_GROUP_PASSWORD
(hazelcast.group.password
)
Each clustering type (e.g. AWS/Azure/Multicast/TCP) has its own settings. For more information on clustering Bitbucket, and other properties see Clustering with Bitbucket Data Center and Clustering with Bitbucket Data Center.
NOTE: The underlying network should be configured to support the clustering type you are using. How to do this depends on the container management technology, and is beyond the scope of this documentation.
JMX monitoring can be enabled with JMX_ENABLED=true
. Information
on additional settings and available metrics is available in the
Bitbucket JMX documentation.
-
SET_PERMISSIONS
(default: true)Define whether to set home directory permissions on startup. Set to
false
to disable this behaviour.
By default the Bitbucket application runs as the user bitbucket
, with a UID
and GID of 2003. Consequently this UID must have write access to the shared
filesystem. If for some reason a different UID must be used, there are a number
of options available:
- The Docker image can be rebuilt with a different UID.
- Under Linux, the UID can be remapped using user namespace remapping.
To upgrade to a more recent version of Bitbucket Server you can simply stop the bitbucket
container and start a new one based on a more recent image:
$> docker stop bitbucket
$> docker rm bitbucket
$> docker pull atlassian/bitbucket-server:<desired_version>
$> docker run ... (See above)
As your data is stored in the data volume directory on the host it will still be available after the upgrade.
Note: Please make sure that you don't accidentally remove the bitbucket
container and its volumes using the -v
option.
For evaluations you can use the built-in database that will store its files in
the Bitbucket Server home directory. In that case it is sufficient to create a
backup archive of the directory on the host that is used as a volume
(/data/bitbucket
in the example above).
The Bitbucket Server Backup Client is currently not supported in the Docker setup. You can however use the Bitbucket Server DIY Backup approach in case you decided to use an external database.
Read more about data recovery and backups: https://confluence.atlassian.com/display/BitbucketServer/Data+recovery+and+backups
The latest
tag matches the most recent version of this repository. Thus using
atlassian/bitbucket:latest
or atlassian/bitbucket
will ensure you are
running the most up to date version of this image.
Alternatively, you can use a specific minor version of Bitbucket Server by
using a version number tag: atlassian/bitbucket-server:6
. This will
install the latest 6.x.x
version that is available.
These images include built-in scripts to assist in performing common JVM diagnostic tasks.
/opt/atlassian/support/thread-dumps.sh
can be run via docker exec
to easily trigger the collection of thread
dumps from the containerized application. For example:
docker exec my_container /opt/atlassian/support/thread-dumps.sh
By default this script will collect 10 thread dumps at 5 second intervals. This can
be overridden by passing a custom value for the count and interval, by using -c
/ --count
and -i
/ --interval
respectively. For example, to collect 20 thread dumps at 3 second intervals:
docker exec my_container /opt/atlassian/support/thread-dumps.sh --count 20 --interval 3
Thread dumps will be written to $APP_HOME/thread_dumps/<date>
.
Note: By default this script will also capture output from top run in 'Thread-mode'. This can
be disabled by passing -n
/ --no-top
/opt/atlassian/support/heap-dump.sh
can be run via docker exec
to easily trigger the collection of a heap
dump from the containerized application. For example:
docker exec my_container /opt/atlassian/support/heap-dump.sh
A heap dump will be written to $APP_HOME/heap.bin
. If a file already exists at this
location, use -f
/ --force
to overwrite the existing heap dump file.
The jcmd
utility is also included in these images and can be used by starting a bash
shell
in the running container:
docker exec -it my_container /bin/bash
For product support, go to support.atlassian.com
Copyright © 2019 Atlassian Corporation Pty Ltd. Licensed under the Apache License, Version 2.0.