docs/_docs/installation/installing-using-docker.adoc

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= Installing Using Docker

== Considerations

*In-memory vs. Persistent Cluster*::
+
--
When deploying a persistent Ignite cluster, you should always mount a persistent volume or local directory.
If you do not use a persistent volume, Ignite will store the data in the container's file system.
It means that the data will be erased when you remove the container. To save the data in a permanent location, <<Running Persistent Cluster,mount a persistent volume>>.
--

*Networking*::
+
--
By default, Ignite Docker image exposes the following ports: 11211, 47100, 47500, 49112.
You can expose more ports as needed by adding `-p <port>` to the `docker run` command.
For example, to connect a thin client to the node running inside a docker container, open port 10800:

[source, shell]
----
docker run -d -p 10800:10800 apacheignite/ignite
----
--

== Downloading Ignite Docker Image

Assuming that you already have Docker installed on your machine, you can pull
and run the Ignite Docker image using the following commands.

Open a command shell and use the following command to pull the Ignite Docker image.
[source,shell]
----
# Pull latest version
sudo docker pull apacheignite/ignite
----

By default, the latest version is downloaded, but you can download a specific version too.
[source,shell,subs="attributes,specialchars"]
----
# Pull a specific Ignite version
sudo docker pull apacheignite/ignite:{version}
----

== Running In-Memory Cluster

Run Ignite in a docker container using the `docker run` command.

[source,shell]
----
# Run the latest version
sudo docker run -d apacheignite/ignite
----

This command will launch a single Ignite node.

To run a specific version of Ignite, use the following command:

[source,shell,subs="attributes,specialchars"]
----
# Run a specific Ignite version
sudo docker run -d apacheignite/ignite:{version}
----

== Running Persistent Cluster

If you use link:persistence/native-persistence[Native Persistence], Ignite stores the user data under the default work directory (`{IGNITE_HOME}/work`) in the file system of the container. This directory will be erased if you restart the docker container. To avoid this, you can:

- Use a persistent volume to store the data; or
- Mount a local directory

These two options are described in the following sections.

=== Using Persistent Volume


To create a persistent volume, run the following command:

[source, shell]
----
sudo docker volume create persistence-volume
----

We will mount this volume to a specific directory when running the Ignite docker image. This directory will have to be passed to Ignite. This can be done in two ways:

- Using the `IGNITE_WORK_DIR` system property
- In the node configuration file

The following command launches the Ignite Docker image and passes the work directory to Ignite via the system property:


[source,shell]
----
docker run -d \
  -v storage-volume:/storage \
  -e IGNITE_WORK_DIR=/storage \
  apacheignite/ignite
----

=== Using Local Directory

Instead of creating a volume, you can mount a local directory to the container in which the Ignite image is running and use this directory to store persistent data.
When restarting the container with the same command, Ignite will load the data from the directory.


[source, shell]
----
mkdir work_dir

docker run -d \
  -v ${PWD}/work_dir:/storage \
  -e IGNITE_WORK_DIR=/storage \
  apacheignite/ignite
----

The `-v` option mounts a local directory under the `/storage` path in the container.
The `-e IGNITE_WORK_DIR=/storage` option tells Ignite to use this folder as the work directory.


== Providing Configuration File
When you run the image, it starts a node with the default configuration file.
You can pass a custom configuration file by using the `CONFIG_URI` environment variable:

[source, shell]
----
docker run -d \
  -e CONFIG_URI=http://myserver/config.xml  \
  apacheignite/ignite
----

You can also use a file from your local file system.
You need to mount the file first under a specific path inside the container by using the `-v` option.
Then, use this path in the `CONFIG_URI` option:

[source, shell]
----
docker run -d \
  -v /local/dir/config.xml:/config-file.xml \
  -e CONFIG_URI=/config-file.xml \
  apacheignite/ignite
----

== Deploying User Libraries

When starting, a node adds all libraries found in the `{IGNITE_HOME}/libs` directory to the classpath (ignoring the "optional" directory).
If you want to deploy user libraries, you can mount a directory from your local machine to a path in the `/opt/ignite/apache-ignite/libs/` in the container by using the `-v` option.

The following command mounts a directory on your machine to `libs/user_libs` in the container.
All files located in the directory are added to the classpath of the node.

[source, shell]
----
docker run -v /local_path/to/dir_with_libs/:/opt/ignite/apache-ignite/libs/user_libs apacheignite/ignite
----

Another option is to use the `EXTERNAL_LIBS` variable if your libraries are available via an URL.

[source, shell]
----
docker run -e "EXTERNAL_LIBS=http://url_to_your_jar" apacheignite/ignite
----


== Enabling Modules

To enable specific link:setup#enabling-modules[modules], specify their names in the "OPTION_LIBS" system variable as follows:

[source, shell]
----
sudo docker run -d \
  -e "OPTION_LIBS=ignite-rest-http,ignite-aws" \
  apacheignite/ignite
----

By default, the Ignite Docker image starts with the following modules enabled:

- ignite-log4j,
- ignite-spring,
- ignite-indexing.

== Environment Variables

The following parameters can be passed as environment variables in the docker container:

[cols="1,2,1", options="header"]
|===
| Parameter Name |Description |Default
| `CONFIG_URI` | URL to the Ignite configuration file (can also be relative to the META-INF folder on the class path).
The downloaded config file is saved to ./ignite-config.xml | N/A

| `OPTION_LIBS` | A list of link:setup#enabling-modules[modules] that will be enabled for the node. | ignite-log4j, ignite-spring, ignite-indexing

| `JVM_OPTS` | JVM arguments passed to the Ignite instance.| N/A

| `EXTERNAL_LIBS` | A list of URL's to external libraries. Refer to <<Deploying User Libraries>>.| N/A

|===