This Dockerfile
creates a Docker image that can be used as the base for
running ElasticSearch within a Docker container. It uses the ElasticSearch
ZooKeeper discovery plugin instead of the standard Zen multicast discovery to
allow for proper operation in PaaS/IaaS/cloud environments that are
multicast-hostile. It also offers the AWS Cloud plugin to provide S3
snapshot/restore capability. The run script is responsible for creating the
ElasticSearch configuration based on the container's environment and starting
the ElasticSearch service.
The version of ElasticSearch used is defined in the Dockerfile
and generally
points to the latest stable release of ElasticSearch.
The following environment variables are understood by the startup script to seed the service's configuration:
-
SERVICE_NAME
should contain the logical name of the service this container is an instance of; -
CONTAINER_NAME
should contain the logical name of the container, which will be used for looking up links and ports informations from the other environment variables. For this, the name is uppercased and non-alphanumeric characters are replaced by underscores. The container name will also be used as the ElasticSearch node name; -
CONTAINER_HOST_ADDRESS
should contain the address of the Docker container's host. It's used by the ElasticSearch ZooKeeper-based discovery plugin as the advertised address for node discovery and is required for the container to start; -
CLUSTER_NAME
, the ElasticSearch cluster name, driving thecluster.name
configuration setting. Defaults tolocal-elasticsearch
; -
ZOOKEEPER_BASE
, the ZooKeeper base zNode path to be used by the discovery plugin. Defaults to/local/elasticsearch
; -
<SERVICE_NAME>_INSTANCES
, a list of all peer instance container names of that service; -
<SERVICE_NAME>_<CONTAINER_NAME>_PEER_PORT
, the TCP port used by node-to-node communications, driving thetransport.tcp.port
setting. Defaults to 9300; -
<SERVICE_NAME>_<CONTAINER_NAME>_HTTP_PORT
, the HTTP port for the ElasticSearch REST API, driving thehttp.port
setting. Defaults to 9200; -
PATH_DATA
, the data location path (or list of paths) inside the container (up to you to setup the matching bind-mounts); -
IS_MASTER_NODE
, whether this ElasticSearch instance can be a master node, -
IS_DATA_NODE
, whether this ElasticSearch instance can be a data node (if it's a data node and nothing else, HTTP will be disabled); -
NUM_INDEX_REPLICAS
, the number of index replicas to maintain; -
NUM_INDEX_SHARDS
, the number of shards per index; -
ZONE_NAME
, the logical zone this node is in, which is used for routing awareness affinity and as the AWS region set for the AWS Cloud plugin; -
AWS_ACCESS_KEY
andAWS_SECRET_KEY
(self-explanatory), for S3 snapshot/restore access; -
MARVEL_ENABLED
, whether or not to enable Marvel plugin agent reporting from this instance.
ElasticSearch depends on ZooKeeper for discovery. It thus expects the following
environment variables for each ZooKeeper node to construct the node list:
ZOOKEEPER_INSTANCES
, ZOOKEEPER_<ZK_NODE_NAME>_HOST
and
ZOOKEEPER_<ZK_NODE_NAME>_CLIENT_PORT
.
The ElasticSearch image uses the following volumes you may want to bind from the container's host:
/var/lib/elasticsearch
, for the ElasticSearch indices storage./var/log/elasticsearch
, for the ElasticSearch logs (rotated 10 times by 100MB sections).
To build a new image, simply run from this directory:
$ docker build -t elasticsearch:1.1.0 .
The Docker image will be built and now available for Docker to start a new container from:
$ docker images | grep elasticsearch
elasticsearch 1.1.0 aa4827a39a60 23 minutes ago 12.29 kB (virtual 890.2 MB)