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README.md

Elasticsearch Helm Chart

This chart uses a standard Docker image of Elasticsearch (docker.elastic.co/elasticsearch/elasticsearch-oss) and uses a service pointing to the master's transport port for service discovery. Elasticsearch does not communicate with the Kubernetes API, hence no need for RBAC permissions.

Warning for previous users

If you are currently using an earlier version of this Chart you will need to redeploy your Elasticsearch clusters. The discovery method used here is incompatible with using RBAC. If you are upgrading to Elasticsearch 6 from the 5.5 version used in this chart before, please note that your cluster needs to do a full cluster restart. The simplest way to do that is to delete the installation (keep the PVs) and install this chart again with the new version. If you want to avoid doing that upgrade to Elasticsearch 5.6 first before moving on to Elasticsearch 6.0.

Prerequisites Details

  • Kubernetes 1.6+
  • PV dynamic provisioning support on the underlying infrastructure

StatefulSets Details

StatefulSets Caveats

Todo

  • Implement TLS/Auth/Security
  • Smarter upscaling/downscaling
  • Solution for memory locking

Chart Details

This chart will do the following:

  • Implemented a dynamically scalable elasticsearch cluster using Kubernetes StatefulSets/Deployments
  • Multi-role deployment: master, client (coordinating) and data nodes
  • Statefulset Supports scaling down without degrading the cluster

Installing the Chart

To install the chart with the release name my-release:

$ helm repo add incubator http://storage.googleapis.com/kubernetes-charts-incubator
$ helm install --name my-release incubator/elasticsearch

Deleting the Charts

Delete the Helm deployment as normal

$ helm delete my-release

Deletion of the StatefulSet doesn't cascade to deleting associated PVCs. To delete them:

$ kubectl delete pvc -l release=my-release,component=data

Configuration

The following table lists the configurable parameters of the elasticsearch chart and their default values.

Parameter Description Default
appVersion Application Version (Elasticsearch) 6.4.0
image.repository Container image name docker.elastic.co/elasticsearch/elasticsearch-oss
image.tag Container image tag 6.4.0
image.pullPolicy Container pull policy Always
cluster.name Cluster name elasticsearch
cluster.xpackEnable Writes the X-Pack configuration options to the configuration file false
cluster.config Additional cluster config appended {}
cluster.keystoreSecret Name of secret holding secure config options in an es keystore nil
cluster.env Cluster environment variables {MINIMUM_MASTER_NODES: "2"}
client.name Client component name client
client.replicas Client node replicas (deployment) 2
client.resources Client node resources requests & limits {} - cpu limit must be an integer
client.priorityClassName Client priorityClass nil
client.heapSize Client node heap size 512m
client.podAnnotations Client Deployment annotations {}
client.nodeSelector Node labels for client pod assignment {}
client.tolerations Client tolerations []
client.serviceAnnotations Client Service annotations {}
client.serviceType Client service type ClusterIP
client.loadBalancerIP Client loadBalancerIP {}
client.loadBalancerSourceRanges Client loadBalancerSourceRanges {}
master.exposeHttp Expose http port 9200 on master Pods for monitoring, etc false
master.name Master component name master
master.replicas Master node replicas (deployment) 2
master.resources Master node resources requests & limits {} - cpu limit must be an integer
master.priorityClassName Master priorityClass nil
master.podAnnotations Master Deployment annotations {}
master.nodeSelector Node labels for master pod assignment {}
master.tolerations Master tolerations []
master.heapSize Master node heap size 512m
master.name Master component name master
master.persistence.enabled Master persistent enabled/disabled true
master.persistence.name Master statefulset PVC template name data
master.persistence.size Master persistent volume size 4Gi
master.persistence.storageClass Master persistent volume Class nil
master.persistence.accessMode Master persistent Access Mode ReadWriteOnce
data.exposeHttp Expose http port 9200 on data Pods for monitoring, etc false
data.replicas Data node replicas (statefulset) 2
data.resources Data node resources requests & limits {} - cpu limit must be an integer
data.priorityClassName Data priorityClass nil
data.heapSize Data node heap size 1536m
data.persistence.enabled Data persistent enabled/disabled true
data.persistence.name Data statefulset PVC template name data
data.persistence.size Data persistent volume size 30Gi
data.persistence.storageClass Data persistent volume Class nil
data.persistence.accessMode Data persistent Access Mode ReadWriteOnce
data.podAnnotations Data StatefulSet annotations {}
data.nodeSelector Node labels for data pod assignment {}
data.tolerations Data tolerations []
data.terminationGracePeriodSeconds Data termination grace period (seconds) 3600
data.antiAffinity Data anti-affinity policy soft

Specify each parameter using the --set key=value[,key=value] argument to helm install.

In terms of Memory resources you should make sure that you follow that equation:

  • ${role}HeapSize < ${role}MemoryRequests < ${role}MemoryLimits

The YAML value of cluster.config is appended to elasticsearch.yml file for additional customization ("script.inline: on" for example to allow inline scripting)

Deep dive

Application Version

This chart aims to support Elasticsearch v2 and v5 deployments by specifying the values.yaml parameter appVersion.

Version Specific Features

  • Memory Locking (variable renamed)
  • Ingest Node (v5)
  • X-Pack Plugin (v5)

Upgrade paths & more info: https://www.elastic.co/guide/en/elasticsearch/reference/current/setup-upgrade.html

Mlocking

This is a limitation in kubernetes right now. There is no way to raise the limits of lockable memory, so that these memory areas won't be swapped. This would degrade performance heavily. The issue is tracked in kubernetes/#3595.

[WARN ][bootstrap] Unable to lock JVM Memory: error=12,reason=Cannot allocate memory
[WARN ][bootstrap] This can result in part of the JVM being swapped out.
[WARN ][bootstrap] Increase RLIMIT_MEMLOCK, soft limit: 65536, hard limit: 65536

Minimum Master Nodes

The minimum_master_nodes setting is extremely important to the stability of your cluster. This setting helps prevent split brains, the existence of two masters in a single cluster.

When you have a split brain, your cluster is at danger of losing data. Because the master is considered the supreme ruler of the cluster, it decides when new indices can be created, how shards are moved, and so forth. If you have two masters, data integrity becomes perilous, since you have two nodes that think they are in charge.

This setting tells Elasticsearch to not elect a master unless there are enough master-eligible nodes available. Only then will an election take place.

This setting should always be configured to a quorum (majority) of your master-eligible nodes. A quorum is (number of master-eligible nodes / 2) + 1

More info: https://www.elastic.co/guide/en/elasticsearch/guide/1.x/_important_configuration_changes.html#_minimum_master_nodes

Client and Coordinating Nodes

Elasticsearch v5 terminology has updated, and now refers to a Client Node as a Coordinating Node.

More info: https://www.elastic.co/guide/en/elasticsearch/reference/5.5/modules-node.html#coordinating-node

Select right storage class for SSD volumes

GCE + Kubernetes 1.5

Create StorageClass for SSD-PD

$ kubectl create -f - <<EOF
kind: StorageClass
apiVersion: apps/v1 
metadata:
  name: ssd
provisioner: kubernetes.io/gce-pd
parameters:
  type: pd-ssd
EOF

Create cluster with Storage class ssd on Kubernetes 1.5+

$ helm install incubator/elasticsearch --name my-release --set data.storageClass=ssd,data.storage=100Gi