163 lines
8 KiB
Markdown
163 lines
8 KiB
Markdown
# Elasticsearch for Kubernetes
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Kubernetes makes it trivial for anyone to easily build and scale [Elasticsearch](http://www.elasticsearch.org/) clusters. Here, you'll find how to do so.
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Current Elasticsearch version is `1.7.1`.
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[A more robust example that follows Elasticsearch best-practices of separating nodes concern is also available](production_cluster/README.md).
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<img src="http://kubernetes.io/kubernetes/img/warning.png" alt="WARNING" width="25" height="25"> Current pod descriptors use an `emptyDir` for storing data in each data node container. This is meant to be for the sake of simplicity and [should be adapted according to your storage needs](../../docs/design/persistent-storage.md).
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## Docker image
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The [pre-built image](https://github.com/pires/docker-elasticsearch-kubernetes) used in this example will not be supported. Feel free to fork to fit your own needs, but keep in mind that you will need to change Kubernetes descriptors accordingly.
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## Deploy
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Let's kickstart our cluster with 1 instance of Elasticsearch.
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```
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kubectl create -f examples/elasticsearch/service-account.yaml
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kubectl create -f examples/elasticsearch/es-svc.yaml
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kubectl create -f examples/elasticsearch/es-rc.yaml
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```
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Let's see if it worked:
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```
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$ kubectl get pods
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NAME READY STATUS RESTARTS AGE
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es-kfymw 1/1 Running 0 7m
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kube-dns-p3v1u 3/3 Running 0 19m
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```
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```
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$ kubectl logs es-kfymw
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log4j:WARN No such property [maxBackupIndex] in org.apache.log4j.DailyRollingFileAppender.
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log4j:WARN No such property [maxBackupIndex] in org.apache.log4j.DailyRollingFileAppender.
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log4j:WARN No such property [maxBackupIndex] in org.apache.log4j.DailyRollingFileAppender.
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[2015-08-30 10:01:31,946][INFO ][node ] [Hammerhead] version[1.7.1], pid[7], build[b88f43f/2015-07-29T09:54:16Z]
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[2015-08-30 10:01:31,946][INFO ][node ] [Hammerhead] initializing ...
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[2015-08-30 10:01:32,110][INFO ][plugins ] [Hammerhead] loaded [cloud-kubernetes], sites []
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[2015-08-30 10:01:32,153][INFO ][env ] [Hammerhead] using [1] data paths, mounts [[/data (/dev/sda9)]], net usable_space [14.4gb], net total_space [15.5gb], types [ext4]
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[2015-08-30 10:01:37,188][INFO ][node ] [Hammerhead] initialized
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[2015-08-30 10:01:37,189][INFO ][node ] [Hammerhead] starting ...
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[2015-08-30 10:01:37,499][INFO ][transport ] [Hammerhead] bound_address {inet[/0:0:0:0:0:0:0:0:9300]}, publish_address {inet[/10.244.48.2:9300]}
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[2015-08-30 10:01:37,550][INFO ][discovery ] [Hammerhead] myesdb/n2-6uu_UT3W5XNrjyqBPiA
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[2015-08-30 10:01:43,966][INFO ][cluster.service ] [Hammerhead] new_master [Hammerhead][n2-6uu_UT3W5XNrjyqBPiA][es-kfymw][inet[/10.244.48.2:9300]]{master=true}, reason: zen-disco-join (elected_as_master)
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[2015-08-30 10:01:44,010][INFO ][http ] [Hammerhead] bound_address {inet[/0:0:0:0:0:0:0:0:9200]}, publish_address {inet[/10.244.48.2:9200]}
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[2015-08-30 10:01:44,011][INFO ][node ] [Hammerhead] started
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[2015-08-30 10:01:44,042][INFO ][gateway ] [Hammerhead] recovered [0] indices into cluster_state
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```
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So we have a 1-node Elasticsearch cluster ready to handle some work.
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## Scale
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Scaling is as easy as:
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```
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kubectl scale --replicas=3 rc es
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```
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Did it work?
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```
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$ kubectl get pods
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NAME READY STATUS RESTARTS AGE
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es-78e0s 1/1 Running 0 8m
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es-kfymw 1/1 Running 0 17m
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es-rjmer 1/1 Running 0 8m
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kube-dns-p3v1u 3/3 Running 0 30m
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```
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Let's take a look at logs:
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```
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$ kubectl logs es-kfymw
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log4j:WARN No such property [maxBackupIndex] in org.apache.log4j.DailyRollingFileAppender.
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log4j:WARN No such property [maxBackupIndex] in org.apache.log4j.DailyRollingFileAppender.
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log4j:WARN No such property [maxBackupIndex] in org.apache.log4j.DailyRollingFileAppender.
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[2015-08-30 10:01:31,946][INFO ][node ] [Hammerhead] version[1.7.1], pid[7], build[b88f43f/2015-07-29T09:54:16Z]
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[2015-08-30 10:01:31,946][INFO ][node ] [Hammerhead] initializing ...
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[2015-08-30 10:01:32,110][INFO ][plugins ] [Hammerhead] loaded [cloud-kubernetes], sites []
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[2015-08-30 10:01:32,153][INFO ][env ] [Hammerhead] using [1] data paths, mounts [[/data (/dev/sda9)]], net usable_space [14.4gb], net total_space [15.5gb], types [ext4]
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[2015-08-30 10:01:37,188][INFO ][node ] [Hammerhead] initialized
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[2015-08-30 10:01:37,189][INFO ][node ] [Hammerhead] starting ...
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[2015-08-30 10:01:37,499][INFO ][transport ] [Hammerhead] bound_address {inet[/0:0:0:0:0:0:0:0:9300]}, publish_address {inet[/10.244.48.2:9300]}
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[2015-08-30 10:01:37,550][INFO ][discovery ] [Hammerhead] myesdb/n2-6uu_UT3W5XNrjyqBPiA
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[2015-08-30 10:01:43,966][INFO ][cluster.service ] [Hammerhead] new_master [Hammerhead][n2-6uu_UT3W5XNrjyqBPiA][es-kfymw][inet[/10.244.48.2:9300]]{master=true}, reason: zen-disco-join (elected_as_master)
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[2015-08-30 10:01:44,010][INFO ][http ] [Hammerhead] bound_address {inet[/0:0:0:0:0:0:0:0:9200]}, publish_address {inet[/10.244.48.2:9200]}
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[2015-08-30 10:01:44,011][INFO ][node ] [Hammerhead] started
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[2015-08-30 10:01:44,042][INFO ][gateway ] [Hammerhead] recovered [0] indices into cluster_state
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[2015-08-30 10:08:02,517][INFO ][cluster.service ] [Hammerhead] added {[Tenpin][2gv5MiwhRiOSsrTOF3DhuA][es-78e0s][inet[/10.244.54.4:9300]]{master=true},}, reason: zen-disco-receive(join from node[[Tenpin][2gv5MiwhRiOSsrTOF3DhuA][es-78e0s][inet[/10.244.54.4:9300]]{master=true}])
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[2015-08-30 10:10:10,645][INFO ][cluster.service ] [Hammerhead] added {[Evilhawk][ziTq2PzYRJys43rNL2tbyg][es-rjmer][inet[/10.244.33.3:9300]]{master=true},}, reason: zen-disco-receive(join from node[[Evilhawk][ziTq2PzYRJys43rNL2tbyg][es-rjmer][inet[/10.244.33.3:9300]]{master=true}])
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```
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So we have a 3-node Elasticsearch cluster ready to handle more work.
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## Access the service
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*Don't forget* that services in Kubernetes are only acessible from containers in the cluster. For different behavior you should [configure the creation of an external load-balancer](http://kubernetes.io/v1.0/docs/user-guide/services.html#type-loadbalancer). While it's supported within this example service descriptor, its usage is out of scope of this document, for now.
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```
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$ kubectl get service elasticsearch
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NAME LABELS SELECTOR IP(S) PORT(S)
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elasticsearch component=elasticsearch component=elasticsearch 10.100.108.94 9200/TCP
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9300/TCP
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```
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From any host on your cluster (that's running `kube-proxy`), run:
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```
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$ curl 10.100.108.94:9200
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```
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You should see something similar to the following:
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```json
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{
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"status" : 200,
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"name" : "Hammerhead",
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"cluster_name" : "myesdb",
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"version" : {
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"number" : "1.7.1",
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"build_hash" : "b88f43fc40b0bcd7f173a1f9ee2e97816de80b19",
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"build_timestamp" : "2015-07-29T09:54:16Z",
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"build_snapshot" : false,
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"lucene_version" : "4.10.4"
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},
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"tagline" : "You Know, for Search"
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}
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```
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Or if you want to check cluster information:
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```
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curl 10.100.108.94:9200/_cluster/health?pretty
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```
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You should see something similar to the following:
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```json
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{
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"cluster_name" : "myesdb",
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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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"delayed_unassigned_shards" : 0,
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"number_of_pending_tasks" : 0,
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"number_of_in_flight_fetch" : 0
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}
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```
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<!-- BEGIN MUNGE: GENERATED_ANALYTICS -->
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[]()
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<!-- END MUNGE: GENERATED_ANALYTICS -->
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