clebeaupin/elasticsearch-marathon repository overview

⁠elasticsearch-marathon

A Marathon-enabled Docker instance containing ElasticSearch.

⁠Sample Configuration

As decribed in https://mesosphere.github.io/marathon/docs/rest-api.html#post-/v2/apps⁠ we need to fire a POST request to the /v2/apps endpoint to create a new application.

So, if your Marathon instance is running at http://127.0.0.1:8080⁠ your request could look like the one below. Please set the correct parameters values for your individual configuration.

curl -XPOST 'http://127.0.0.1:8080/v2/apps' -d '{
    "id": "es-cluster",
    "env": {
	"MARATHON_URL": "http://127.0.0.1:8080",
	"APP_ID": "es-cluster",
	"ELASTICSEARCH_CLUSTER_NAME": "MYCLUSTER"
    },
    "container": {
        "docker": {
            "image": "tobilg/elasticsearch-marathon",
            "network": "BRIDGE",
            "portMappings": [
                { "containerPort": 9200 },
                { "containerPort": 9300 }
            ]
        },
        "type": "DOCKER"
    },
    "cpus": 0.5,
    "mem": 2048,
    "instances": 2
}'

⁠How it works

Upon the container startup, the shell script elasticsearch-marathon-bootstrap.sh is executed, which first calls another Node.js script (elasticsearches.js) to query the Marathon REST API to get the list of tasks for the given app id.

The resulting node list is then fed into the ElasticSearch startup script parameter discovery.zen.ping.unicast.hosts, thus enabling the ElasticSearch unicast discovery to build a cluster.

This is done dynamically at instance start, meaning that if you scale the application via the Marathon frontend, the further instances are automatically added to the given cluster (which name is set via the ELASTICSEARCH_CLUSTER_NAME environment variable in the config JSON, see above).