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121 lines
3.8 KiB
Markdown
121 lines
3.8 KiB
Markdown
This Docker image provides an easily configurable Elasticsearch node. Via
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port mappings, it is easy to create an arbitrarily sized cluster of
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nodes. As long as the versions match, you can mix-and-match "real"
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Elasticsearch nodes with container-ized ones.
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# Basic Usage
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To start an Elasticsearch data node that listens on the standard ports on
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your host's network interface:
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docker run -d -p 9200:9200 -p 9300:9300 itzg/elasticsearch
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You'll then be able to connect to the Elasticsearch HTTP interface to confirm
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it's alive:
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http://DOCKERHOST:9200/
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{
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"status" : 200,
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"name" : "Charon",
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"version" : {
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"number" : "1.3.5",
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"build_hash" : "4a50e7df768fddd572f48830ae9c35e4ded86ac1",
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"build_timestamp" : "2014-11-05T15:21:28Z",
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"build_snapshot" : false,
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"lucene_version" : "4.9"
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},
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"tagline" : "You Know, for Search"
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}
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Where `DOCKERHOST` would be the actual hostname of your host running
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Docker.
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# Basic multi-node cluster
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Running a multi-node cluster (3-node in this example) is almost as easy:
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docker run -d -p 9200:9200 -p 9300:9300 itzg/elasticsearch
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docker run -d -p 9201:9200 -p 9301:9300 itzg/elasticsearch
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docker run -d -p 9202:9200 -p 9302:9300 itzg/elasticsearch
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where the only difference was the host port binding of `9200:`/`9300:`,
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`9201:`/`9301:`, and `9202:`/`9302:`. By default, Elasticsearch uses
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[Zen Discovery](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/modules-discovery-zen.html), so the three nodes find each other and form a cluster. You
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can confirm that by checking the cluster health for the presence of
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three nodes (`number_of_nodes`):
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http://DOCKERHOST:9200/_cluster/health?pretty
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{
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"cluster_name" : "elasticsearch",
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"status" : "green",
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"timed_out" : false,
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"number_of_nodes" : 3,
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"number_of_data_nodes" : 3,
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"active_primary_shards" : 0,
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"active_shards" : 0,
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"relocating_shards" : 0,
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"initializing_shards" : 0,
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"unassigned_shards" : 0
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}
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# Configuration
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The following configuration options are specified using `docker run`
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environment variables (`-e`) like
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docker run ... -e NAME=VALUE ... itzg/elasticsearch
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## Cluster Name
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If joining a pre-existing cluster, then you may need to specify a cluster name
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different than the default "elasticsearch":
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-e CLUSTER=dockers
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## Zen Unicast Hosts
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When joining a multi-physical-host cluster, multicast may not be supported
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on the physical network. In that case, your node can reference specific one or more hosts in
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the cluster via the
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[Zen Unicast Hosts](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/modules-discovery-zen.html#unicast) capability as a comma-separated list of `HOST:PORT` pairs:
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-e UNICAST_HOSTS=HOST:PORT[,HOST:PORT]
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such as
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-e UNICAST_HOSTS=192.168.0.100:9300
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## Plugins
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You can install one or more plugins before startup by passing a comma-separated
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list of plugins.
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-e PLUGINS=ID[,ID]
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In this example, it will install the Marvel plugin
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-e PLUGINS=elasticsearch/marvel/latest
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Many more plugins [are available here](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/modules-plugins.html#known-plugins).
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## Publish As
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Since the container gives the Elasticsearch software an isolated perspective
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of its networking, it will most likely advertise its published address with
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a container-internal IP address. This can be overridden with a physical networking
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name and port using:
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-e PUBLISH_AS=DOCKERHOST:9301
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_Author Note: I have yet to hit a case where this was actually necessary. Other
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than the cosmetic weirdness in the logs, Elasticsearch seems to be quite tolerant._
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## Node Name
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Rather than use the randomly assigned node name, you can indicate a specific
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one using:
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-e NODE_NAME=Docker
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