mirror of
https://github.com/k3s-io/kubernetes.git
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Revamped Elasticsearch example that now uses an Alpine Linux container with JRE 8u51 and Elasticsearch 1.7.1.
Replaced Go discovery mechanism for Elasticsearch discovery plug-in that supports Kubernetes.
This commit is contained in:
@@ -33,206 +33,130 @@ Documentation for other releases can be found at
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# Elasticsearch for Kubernetes
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This directory contains the source for a Docker image that creates an instance
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of [Elasticsearch](https://www.elastic.co/products/elasticsearch) 1.5.2 which can
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be used to automatically form clusters when used
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with [replication controllers](../../docs/user-guide/replication-controller.md). This will not work with the library Elasticsearch image
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because multicast discovery will not find the other pod IPs needed to form a cluster. This
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image detects other Elasticsearch [pods](../../docs/user-guide/pods.md) running in a specified [namespace](../../docs/user-guide/namespaces.md) with a given
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label selector. The detected instances are used to form a list of peer hosts which
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are used as part of the unicast discovery mechanism for Elasticsearch. The detection
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of the peer nodes is done by a program which communicates with the Kubernetes API
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server to get a list of matching Elasticsearch pods.
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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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Here is an example replication controller specification that creates 4 instances of Elasticsearch.
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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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<!-- BEGIN MUNGE: EXAMPLE music-rc.yaml -->
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<img src="http://kubernetes.io/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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```yaml
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apiVersion: v1
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kind: ReplicationController
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metadata:
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labels:
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name: music-db
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namespace: mytunes
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name: music-db
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spec:
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replicas: 4
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selector:
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name: music-db
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template:
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metadata:
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labels:
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name: music-db
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spec:
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containers:
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- name: es
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image: kubernetes/elasticsearch:1.2
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env:
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- name: "CLUSTER_NAME"
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value: "mytunes-db"
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- name: "SELECTOR"
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value: "name=music-db"
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- name: "NAMESPACE"
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value: "mytunes"
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ports:
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- name: es
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containerPort: 9200
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- name: es-transport
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containerPort: 9300
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## Docker image
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This example uses [this pre-built image](https://github.com/pires/docker-elasticsearch-kubernetes) will not be supported. Feel free to fork to fit your own needs, but mind yourself 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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[Download example](music-rc.yaml)
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<!-- END MUNGE: EXAMPLE music-rc.yaml -->
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Let's see if it worked:
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The `CLUSTER_NAME` variable gives a name to the cluster and allows multiple separate clusters to
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exist in the same namespace.
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The `SELECTOR` variable should be set to a label query that identifies the Elasticsearch
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nodes that should participate in this cluster. For our example we specify `name=music-db` to
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match all pods that have the label `name` set to the value `music-db`.
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The `NAMESPACE` variable identifies the namespace
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to be used to search for Elasticsearch pods and this should be the same as the namespace specified
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for the replication controller (in this case `mytunes`).
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Replace `NAMESPACE` with the actual namespace to be used. In this example we shall use
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the namespace `mytunes`.
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```yaml
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kind: Namespace
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apiVersion: v1
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metadata:
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name: mytunes
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labels:
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name: mytunes
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```
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First, let's create the namespace:
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```console
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$ kubectl create -f examples/elasticsearch/mytunes-namespace.yaml
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namespaces/mytunes
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```
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Now you are ready to create the replication controller which will then create the pods:
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```console
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$ kubectl create -f examples/elasticsearch/music-rc.yaml --namespace=mytunes
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replicationcontrollers/music-db
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```
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Let's check to see if the replication controller and pods are running:
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```console
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$ kubectl get rc,pods --namespace=mytunes
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CONTROLLER CONTAINER(S) IMAGE(S) SELECTOR REPLICAS
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music-db es kubernetes/elasticsearch:1.2 name=music-db 4
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$ kubectl get pods
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NAME READY STATUS RESTARTS AGE
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music-db-5p46b 1/1 Running 0 34s
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music-db-8re0f 1/1 Running 0 34s
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music-db-eq8j0 1/1 Running 0 34s
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music-db-uq5px 1/1 Running 0 34s
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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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It's also useful to have a [service](../../docs/user-guide/services.md) with an load balancer for accessing the Elasticsearch
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cluster.
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<!-- BEGIN MUNGE: EXAMPLE music-service.yaml -->
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```yaml
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apiVersion: v1
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kind: Service
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metadata:
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name: music-server
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namespace: mytunes
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labels:
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name: music-db
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spec:
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selector:
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name: music-db
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ports:
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- name: db
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port: 9200
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targetPort: es
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type: LoadBalancer
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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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[Download example](music-service.yaml)
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<!-- END MUNGE: EXAMPLE music-service.yaml -->
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So we have a 1-node Elasticsearch cluster ready to handle some work.
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Let's create the service with an external load balancer:
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## Scale
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```console
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$ kubectl create -f examples/elasticsearch/music-service.yaml --namespace=mytunes
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services/music-server
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```
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Let's check the status of the service:
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```console
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$ kubectl get service --namespace=mytunes
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NAME LABELS SELECTOR IP(S) PORT(S)
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music-server name=music-db name=music-db 10.0.185.179 9200/TCP
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Scaling is as easy as:
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```
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Although this service has an IP address `10.0.185.179` internal to the cluster we don't yet have
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an external IP address provisioned. Let's wait a bit and try again...
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```console
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$ kubectl get service --namespace=mytunes
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NAME LABELS SELECTOR IP(S) PORT(S)
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music-server name=music-db name=music-db 10.0.185.179 9200/TCP
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104.197.114.130
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kubectl scale --replicas=3 rc es
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```
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Now we have an external IP address `104.197.114.130` available for accessing the service
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from outside the cluster.
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Did it work?
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Let's see what we've got:
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```console
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$ kubectl get pods,rc,services --namespace=mytunes
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```
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$ kubectl get pods
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NAME READY STATUS RESTARTS AGE
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music-db-5p46b 1/1 Running 0 7m
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music-db-8re0f 1/1 Running 0 7m
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music-db-eq8j0 1/1 Running 0 7m
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music-db-uq5px 1/1 Running 0 7m
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CONTROLLER CONTAINER(S) IMAGE(S) SELECTOR REPLICAS
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music-db es kubernetes/elasticsearch:1.2 name=music-db 4
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NAME LABELS SELECTOR IP(S) PORT(S)
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music-server name=music-db name=music-db 10.0.185.179 9200/TCP
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104.197.114.130
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NAME TYPE DATA
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default-token-gcilu kubernetes.io/service-account-token 2
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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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This shows 4 instances of Elasticsearch running. After making sure that port 9200 is accessible for this cluster (e.g. using a firewall rule for Google Compute Engine) we can make queries via the service which will be fielded by the matching Elasticsearch pods.
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Let's take a look at logs:
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```console
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$ curl 104.197.114.130:9200
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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" : "Warpath",
|
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"cluster_name" : "mytunes-db",
|
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"name" : "Hammerhead",
|
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"cluster_name" : "myesdb",
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"version" : {
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"number" : "1.5.2",
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"build_hash" : "62ff9868b4c8a0c45860bebb259e21980778ab1c",
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"build_timestamp" : "2015-04-27T09:21:06Z",
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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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$ curl 104.197.114.130:9200
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{
|
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"status" : 200,
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"name" : "Callisto",
|
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"cluster_name" : "mytunes-db",
|
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"version" : {
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"number" : "1.5.2",
|
||||
"build_hash" : "62ff9868b4c8a0c45860bebb259e21980778ab1c",
|
||||
"build_timestamp" : "2015-04-27T09:21:06Z",
|
||||
"number" : "1.7.1",
|
||||
"build_hash" : "b88f43fc40b0bcd7f173a1f9ee2e97816de80b19",
|
||||
"build_timestamp" : "2015-07-29T09:54:16Z",
|
||||
"build_snapshot" : false,
|
||||
"lucene_version" : "4.10.4"
|
||||
},
|
||||
@@ -240,128 +164,33 @@ $ curl 104.197.114.130:9200
|
||||
}
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```
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||||
|
||||
We can query the nodes to confirm that an Elasticsearch cluster has been formed.
|
||||
Or if you want to check cluster information:
|
||||
|
||||
```console
|
||||
$ curl 104.197.114.130:9200/_nodes?pretty=true
|
||||
|
||||
```
|
||||
curl 10.100.108.94:9200/_cluster/health?pretty
|
||||
```
|
||||
|
||||
You should see something similar to the following:
|
||||
|
||||
```json
|
||||
{
|
||||
"cluster_name" : "mytunes-db",
|
||||
"nodes" : {
|
||||
"u-KrvywFQmyaH5BulSclsA" : {
|
||||
"name" : "Jonas Harrow",
|
||||
...
|
||||
"discovery" : {
|
||||
"zen" : {
|
||||
"ping" : {
|
||||
"unicast" : {
|
||||
"hosts" : [ "10.244.2.48", "10.244.0.24", "10.244.3.31", "10.244.1.37" ]
|
||||
},
|
||||
...
|
||||
"name" : "Warpath",
|
||||
...
|
||||
"discovery" : {
|
||||
"zen" : {
|
||||
"ping" : {
|
||||
"unicast" : {
|
||||
"hosts" : [ "10.244.2.48", "10.244.0.24", "10.244.3.31", "10.244.1.37" ]
|
||||
},
|
||||
...
|
||||
"name" : "Callisto",
|
||||
...
|
||||
"discovery" : {
|
||||
"zen" : {
|
||||
"ping" : {
|
||||
"unicast" : {
|
||||
"hosts" : [ "10.244.2.48", "10.244.0.24", "10.244.3.31", "10.244.1.37" ]
|
||||
},
|
||||
...
|
||||
"name" : "Vapor",
|
||||
...
|
||||
"discovery" : {
|
||||
"zen" : {
|
||||
"ping" : {
|
||||
"unicast" : {
|
||||
"hosts" : [ "10.244.2.48", "10.244.0.24", "10.244.3.31", "10.244.1.37" ]
|
||||
...
|
||||
"cluster_name" : "myesdb",
|
||||
"status" : "green",
|
||||
"timed_out" : false,
|
||||
"number_of_nodes" : 3,
|
||||
"number_of_data_nodes" : 3,
|
||||
"active_primary_shards" : 0,
|
||||
"active_shards" : 0,
|
||||
"relocating_shards" : 0,
|
||||
"initializing_shards" : 0,
|
||||
"unassigned_shards" : 0,
|
||||
"delayed_unassigned_shards" : 0,
|
||||
"number_of_pending_tasks" : 0,
|
||||
"number_of_in_flight_fetch" : 0
|
||||
}
|
||||
```
|
||||
|
||||
Let's ramp up the number of Elasticsearch nodes from 4 to 10:
|
||||
|
||||
```console
|
||||
$ kubectl scale --replicas=10 replicationcontrollers music-db --namespace=mytunes
|
||||
scaled
|
||||
$ kubectl get pods --namespace=mytunes
|
||||
NAME READY STATUS RESTARTS AGE
|
||||
music-db-0n8rm 0/1 Running 0 9s
|
||||
music-db-4izba 1/1 Running 0 9s
|
||||
music-db-5dqes 0/1 Running 0 9s
|
||||
music-db-5p46b 1/1 Running 0 10m
|
||||
music-db-8re0f 1/1 Running 0 10m
|
||||
music-db-eq8j0 1/1 Running 0 10m
|
||||
music-db-p9ajw 0/1 Running 0 9s
|
||||
music-db-p9u1k 1/1 Running 0 9s
|
||||
music-db-rav1q 0/1 Running 0 9s
|
||||
music-db-uq5px 1/1 Running 0 10m
|
||||
```
|
||||
|
||||
Let's check to make sure that these 10 nodes are part of the same Elasticsearch cluster:
|
||||
|
||||
```console
|
||||
$ curl 104.197.114.130:9200/_nodes?pretty=true | grep name
|
||||
"cluster_name" : "mytunes-db",
|
||||
"name" : "Killraven",
|
||||
"name" : "Killraven",
|
||||
"name" : "mytunes-db"
|
||||
"vm_name" : "OpenJDK 64-Bit Server VM",
|
||||
"name" : "eth0",
|
||||
"name" : "Tefral the Surveyor",
|
||||
"name" : "Tefral the Surveyor",
|
||||
"name" : "mytunes-db"
|
||||
"vm_name" : "OpenJDK 64-Bit Server VM",
|
||||
"name" : "eth0",
|
||||
"name" : "Jonas Harrow",
|
||||
"name" : "Jonas Harrow",
|
||||
"name" : "mytunes-db"
|
||||
"vm_name" : "OpenJDK 64-Bit Server VM",
|
||||
"name" : "eth0",
|
||||
"name" : "Warpath",
|
||||
"name" : "Warpath",
|
||||
"name" : "mytunes-db"
|
||||
"vm_name" : "OpenJDK 64-Bit Server VM",
|
||||
"name" : "eth0",
|
||||
"name" : "Brute I",
|
||||
"name" : "Brute I",
|
||||
"name" : "mytunes-db"
|
||||
"vm_name" : "OpenJDK 64-Bit Server VM",
|
||||
"name" : "eth0",
|
||||
"name" : "Callisto",
|
||||
"name" : "Callisto",
|
||||
"name" : "mytunes-db"
|
||||
"vm_name" : "OpenJDK 64-Bit Server VM",
|
||||
"name" : "eth0",
|
||||
"name" : "Vapor",
|
||||
"name" : "Vapor",
|
||||
"name" : "mytunes-db"
|
||||
"vm_name" : "OpenJDK 64-Bit Server VM",
|
||||
"name" : "eth0",
|
||||
"name" : "Timeslip",
|
||||
"name" : "Timeslip",
|
||||
"name" : "mytunes-db"
|
||||
"vm_name" : "OpenJDK 64-Bit Server VM",
|
||||
"name" : "eth0",
|
||||
"name" : "Magik",
|
||||
"name" : "Magik",
|
||||
"name" : "mytunes-db"
|
||||
"vm_name" : "OpenJDK 64-Bit Server VM",
|
||||
"name" : "eth0",
|
||||
"name" : "Brother Voodoo",
|
||||
"name" : "Brother Voodoo",
|
||||
"name" : "mytunes-db"
|
||||
"vm_name" : "OpenJDK 64-Bit Server VM",
|
||||
"name" : "eth0",
|
||||
```
|
||||
|
||||
|
||||
<!-- BEGIN MUNGE: GENERATED_ANALYTICS -->
|
||||
[]()
|
||||
<!-- END MUNGE: GENERATED_ANALYTICS -->
|
||||
<!-- END MUNGE: GENERATED_ANALYTICS -->
|
||||
|
||||
Reference in New Issue
Block a user