Docker Support

A pre-built Docker image can be used as an alternative to installing a Python environment with the libraries required for the Elasticsearch DXL Python service. Docker images for the Elasticsearch DXL Python service are posted to the following Docker repository:

https://hub.docker.com/r/opendxl/opendxl-elasticsearch-service-python/

The remainder of this page walks through the steps required to configure the service, pull the image from the repository, and run the Elasticsearch DXL service via a Docker container.

Service Configuration

The first step is to connect to the host that is running Docker and configure the Elasticsearch DXL Python service. The configuration files that are required for the Elasticsearch DXL Python service will reside on the host system and be made available to the Docker container via a data volume.

Once you have logged into the host system, perform the following steps:

1.) Create a directory to contain the configuration files

mkdir dxlelasticsearchservice-config

2.) Change to the newly created directory

cd dxlelasticsearchservice-config

3.) Download the latest configuration files for the Elasticsearch DXL Python service

The latest release of the service can be found at the following page:

https://github.com/opendxl/opendxl-elasticsearch-service-python/releases/latest

Download the latest configuration package (dxlelasticsearchservice-python-dist-config). For example:

wget https://github.com/opendxl/opendxl-elasticsearch-service-python/releases/download/0.2.0/dxlelasticsearchservice-python-dist-config-0.2.0.zip

4.) Extract the configuration package

unzip dxlelasticsearchservice-python-dist-config-0.2.0.zip

5.) Populate the configuration files:

Pull Docker Image

The next step is to pull the Elasticsearch DXL Python service image from the Docker repository.

The image can be pulled using the following Docker command:

docker pull opendxl/opendxl-elasticsearch-service-python:<release-version>

The following parameters must be specified:

  • release-version The release version of the Elasticsearch DXL Python service

For example:

docker pull opendxl/opendxl-elasticsearch-service-python:0.2.0

Create Docker Container

The final step is to create a Docker container based on the pulled image.

The container can be created using the following Docker command:

docker run -d --name dxlelasticsearchservice -v <host-config-dir>:/opt/dxlelasticsearchservice-config opendxl/opendxl-elasticsearch-service-python:<release-version>

The following parameters must be specified:

  • host-config-dir The directory on the host that contains the service configuration files
  • release-version The version of the image (See "Pull Docker Image" section above)

For example:

docker run -d --name dxlelasticsearchservice -v /home/myuser/dxlelasticsearchservice-config:/opt/dxlelasticsearchservice-config opendxl/opendxl-elasticsearch-service-python:0.2.0

Note: A restart policy can be specified via the restart flag (--restart <policy>). This flag can be used to restart the container when the system reboots or if the service terminates abnormally. The unless-stopped policy will restart the container unless it has been explicitly stopped.

Additional Docker Commands

The following Docker commands are useful once the container has been created.

  • Container Status

    The ps command can be used to show the status of the container.

    docker ps --filter name=dxlelasticsearchservice

    Example output:

    CONTAINER ID  COMMAND                 CREATED        STATUS
c60eaf0788fe  "python -m dxlelas..."  7 minutes ago  Up 7 minutes

  • Container Logs

    The logs command can be used to display the log messages for the container.

    docker logs dxlelasticsearchservice

    Example output:

    Running application ...
On 'run' callback.
On 'load configuration' callback.
Incoming message configuration: queueSize=1000, threadCount=10
Message callback configuration: queueSize=1000, threadCount=10
Attempting to connect to DXL fabric ...
Connected to DXL fabric.
Registering event callback /sample/elasticsearch/advancedtransform for group advanced_transform_example
Registering event callback /sample/elasticsearch/basicevent for group basic_event_example
Registering service: elasticsearch_service
Registering request callback: elasticsearch_index_requesthandler. Topic: /opendxl-elasticsearch/service/elasticsearch-api/index.
Registering request callback: elasticsearch_get_requesthandler. Topic: /opendxl-elasticsearch/service/elasticsearch-api/get.
Registering request callback: elasticsearch_update_requesthandler. Topic: /opendxl-elasticsearch/service/elasticsearch-api/update.
Registering request callback: elasticsearch_delete_requesthandler. Topic: /opendxl-elasticsearch/service/elasticsearch-api/delete.
On 'DXL connect' callback.

    The log output can be followed by adding a -f flag (similar to tail) to the logs command.

  • Stop/Restart/Start

    The container can be stopped, restarted, and started using the following commands:

    • docker stop dxlelasticsearchservice
    • docker restart dxlelasticsearchservice
    • docker start dxlelasticsearchservice