This functionality is in beta status and may be changed or removed completely in a future release. Elastic will take a best effort approach to fix any issues, but beta features are not subject to the support SLA of official GA features.
This helm chart is a lightweight way to configure and run our official Elasticsearch docker image
- Helm >= 2.8.0
- Kubernetes >= 1.8
- Minimum cluster requirements include the following to run this chart with default settings. All of these settings are configurable.
- Three Kubernetes nodes to respect the default "hard" affinity settings
- 1GB of RAM for the JVM heap
- This repo includes a number of example configurations which can be used as a reference. They are also used in the automated testing of this chart
- Automated testing of this chart is currently only run against GKE (Google Kubernetes Engine). If you are using a different Kubernetes provider you will likely need to adjust the
storageClassNamein thevolumeClaimTemplate - The default storage class for GKE is
standardwhich by default will give youpd-ssdtype persistent volumes. This is network attached storage and will not perform as well as local storage. If you are using Kubernetes version 1.10 or greater you can use Local PersistentVolumes for increased performance - The chart deploys a statefulset and by default will do an automated rolling update of your cluster. It does this by waiting for the cluster health to become green after each instance is updated. If you prefer to update manually you can set
updateStrategy: OnDelete - It is important to verify that the JVM heap size in
esJavaOptsand to set the CPU/Memoryresourcesto something suitable for your cluster - To simplify chart and maintenance each set of node groups is deployed as a separate helm release. Take a look at the multi example to get an idea for how this works. Without doing this it isn't possible to resize persistent volumes in a statefulset. By setting it up this way it makes it possible to add more nodes with a new storage size then drain the old ones. It also solves the problem of allowing the user to determine which node groups to update first when doing upgrades or changes.
- We have designed this chart to be very un-opinionated about how to configure Elasticsearch. It exposes ways to set environment variables and mount secrets inside of the container. Doing this makes it much easier for this chart to support multiple versions with minimal changes.
If you currently have a cluster deployed with the helm/charts stable chart you can follow the migration guide
- Add the elastic helm charts repo
helm repo add elastic https://helm.elastic.co - Install it
helm install --name elasticsearch elastic/elasticsearch --version 7.1.0
This chart is tested with the latest supported versions. The currently tested versions are:
| 5.x | 6.x | 7.x |
|---|---|---|
| 5.6.16 | 6.8.0 | 7.1.0 |
Examples of installing older major versions can be found in the examples directory.
While only the latest releases are tested, it is possible to easily install old or new releases by overriding the imageTag. To install version 7.1.0 of Elasticsearch it would look like this:
helm install --name elasticsearch elastic/elasticsearch --version 7.1.0 --set imageTag=7.1.0
| Parameter | Description | Default |
|---|---|---|
clusterName |
This will be used as the Elasticsearch cluster.name and should be unique per cluster in the namespace | elasticsearch |
nodeGroup |
This is the name that will be used for each group of nodes in the cluster. The name will be clusterName-nodeGroup-X |
master |
masterService |
Optional. The service name used to connect to the masters. You only need to set this if your master nodeGroup is set to something other than master. See Clustering and Node Discovery for more information. |
`` |
roles |
A hash map with the specific roles for the node group | master: truedata: trueingest: true |
replicas |
Kubernetes replica count for the statefulset (i.e. how many pods) | 3 |
minimumMasterNodes |
The value for discovery.zen.minimum_master_nodes. Should be set to (master_eligible_nodes / 2) + 1. Ignored in Elasticsearch versions >= 7. |
2 |
esMajorVersion |
Used to set major version specific configuration | 7 |
esConfig |
Allows you to add any config files in /usr/share/elasticsearch/config/ such as elasticsearch.yml and log4j2.properties. See values.yaml for an example of the formatting. |
{} |
extraEnvs |
Extra environment variables which will be appended to the env: definition for the container |
[] |
extraVolumes |
Additional volumes to be passed to the tpl function |
|
extraVolumeMounts |
Additional volumeMounts to be passed to the tpl function |
|
extraInitContainers |
Additional init containers to be passed to the tpl function |
|
secretMounts |
Allows you easily mount a secret as a file inside the statefulset. Useful for mounting certificates and other secrets. See values.yaml for an example | [] |
image |
The Elasticsearch docker image | docker.elastic.co/elasticsearch/elasticsearch |
imageTag |
The Elasticsearch docker image tag | 7.1.0 |
imagePullPolicy |
The Kubernetes imagePullPolicy value | IfNotPresent |
podAnnotations |
Configurable annotations applied to all Elasticsearch pods | {} |
esJavaOpts |
Java options for Elasticsearch. This is where you should configure the jvm heap size | -Xmx1g -Xms1g |
resources |
Allows you to set the resources for the statefulset | requests.cpu: 100mrequests.memory: 2Gilimits.cpu: 1000mlimits.memory: 2Gi |
initResources |
Allows you to set the resources for the initContainer in the statefulset | {} |
networkHost |
Value for the network.host Elasticsearch setting | 0.0.0.0 |
volumeClaimTemplate |
Configuration for the volumeClaimTemplate for statefulsets. You will want to adjust the storage (default 30Gi) and the storageClassName if you are using a different storage class |
accessModes: [ "ReadWriteOnce" ]resources.requests.storage: 30Gi |
persistence.annotations |
Additional persistence annotations for the volumeClaimTemplate |
{} |
persistence.enabled |
Enables a persistent volume for Elasticsearch data. Can be disabled for nodes that only have roles which don't require persistent data. | true |
priorityClassName |
The name of the PriorityClass. No default is supplied as the PriorityClass must be created first. | `` |
antiAffinityTopologyKey |
The anti-affinity topology key. By default this will prevent multiple Elasticsearch nodes from running on the same Kubernetes node | kubernetes.io/hostname |
antiAffinity |
Setting this to hard enforces the anti-affinity rules. If it is set to soft it will be done "best effort". Other values will be ignored. | hard |
nodeAffinity |
Value for the node affinity settings | {} |
podManagementPolicy |
By default Kubernetes deploys statefulsets serially. This deploys them in parallel so that they can discover eachother | Parallel |
protocol |
The protocol that will be used for the readinessProbe. Change this to https if you have xpack.security.http.ssl.enabled set |
http |
httpPort |
The http port that Kubernetes will use for the healthchecks and the service. If you change this you will also need to set http.port in extraEnvs |
9200 |
transportPort |
The transport port that Kubernetes will use for the service. If you change this you will also need to set transport port configuration in extraEnvs |
9300 |
updateStrategy |
The updateStrategy for the statefulset. By default Kubernetes will wait for the cluster to be green after upgrading each pod. Setting this to OnDelete will allow you to manually delete each pod during upgrades |
RollingUpdate |
maxUnavailable |
The maxUnavailable value for the pod disruption budget. By default this will prevent Kubernetes from having more than 1 unhealthy pod in the node group | 1 |
fsGroup |
The Group ID (GID) for securityContext.fsGroup so that the Elasticsearch user can read from the persistent volume | 1000 |
terminationGracePeriod |
The terminationGracePeriod in seconds used when trying to stop the pod | 120 |
sysctlVmMaxMapCount |
Sets the sysctl vm.max_map_count needed for Elasticsearch | 262144 |
readinessProbe |
Configuration fields for the readinessProbe | failureThreshold: 3initialDelaySeconds: 10periodSeconds: 10successThreshold: 3timeoutSeconds: 5 |
clusterHealthCheckParams |
The Elasticsearch cluster health status params that will be used by readinessProbe command | wait_for_status=green&timeout=1s |
imagePullSecrets |
Configuration for imagePullSecrets so that you can use a private registry for your image | [] |
nodeSelector |
Configurable nodeSelector so that you can target specific nodes for your Elasticsearch cluster | {} |
tolerations |
Configurable tolerations | [] |
ingress |
Configurable ingress to expose the Elasticsearch service. See values.yaml for an example |
enabled: false |
In examples/ you will find some example configurations. These examples are used for the automated testing of this helm chart
To deploy a cluster with all default values and run the integration tests
cd examples/default
make
A cluster with dedicated node types
cd examples/multi
make
A cluster with X-Pack security enabled
-
Generate SSL certificates following the official docs
-
Create Kubernetes secrets for authentication credentials and certificates
kubectl create secret generic elastic-credentials --from-literal=password=changeme --from-literal=username=elastic kubectl create secret generic elastic-certificates --from-file=elastic-certificates.p12 -
Deploy!
cd examples/security make -
Attach into one of the containers
kubectl exec -ti $(kubectl get pods -l release=helm-es-security -o name | awk -F'/' '{ print $NF }' | head -n 1) bash -
Test that authentication is now enabled
curl 'http://localhost:9200/' # This one will fail curl -u elastic:changeme 'http://localhost:9200/' -
Install some test data to play around with
wget https://download.elastic.co/demos/kibana/gettingstarted/logs.jsonl.gz && gunzip logs.jsonl.gz && curl -u elastic:changeme -H 'Content-Type: application/x-ndjson' -XPOST 'localhost:9200/_bulk?pretty' --data-binary @logs.jsonl
The recommended way to install plugins into our docker images is to create a custom docker image.
The Dockerfile would look something like:
ARG elasticsearch_version
FROM docker.elastic.co/elasticsearch/elasticsearch:${elasticsearch_version}
RUN bin/elasticsearch-plugin install --batch repository-gcs
And then updating the image in values to point to your custom image.
There are a couple reasons we recommend this.
- Tying the availability of Elasticsearch to the download service to install plugins is not a great idea or something that we recommend. Especially in Kubernetes where it is normal and expected for a container to be moved to another host at random times.
- Mutating the state of a running docker image (by installing plugins) goes against best practices of containers and immutable infrastructure.
- Create a Kubernetes secret containing the keystore
$ kubectl create secret generic elasticsearch-keystore --from-file=./elasticsearch.keystore - Mount it into the container via
secretMountssecretMounts: - name: elasticsearch-keystore secretName: elasticsearch-keystore path: /usr/share/elasticsearch/config/elasticsearch.keystore subPath: elasticsearch.keystore
This chart is designed to run on production scale Kubernetes clusters with multiple nodes, lots of memory and persistent storage. For that reason it can be a bit tricky to run them against local Kubernetes environments such as minikube. Below are some examples of how to get this working locally.
This chart also works successfully on minikube in addition to typical hosted Kubernetes environments.
An example values.yaml file for minikube is provided under examples/.
In order to properly support the required persistent volume claims for the Elasticsearch StatefulSet, the default-storageclass and storage-provisioner minikube addons must be enabled.
minikube addons enable default-storageclass
minikube addons enable storage-provisioner
cd examples/minikube
make
Note that if helm or kubectl timeouts occur, you may consider creating a minikube VM with more CPU cores or memory allocated.
It is also possible to run this chart with the built in Kubernetes cluster that comes with docker-for-mac.
cd examples/docker-for-mac
make
This chart facilitates Elasticsearch node discovery and services by creating two Service definitions in Kubernetes, one with the name $clusterName-$nodeGroup and another named $clusterName-$nodeGroup-headless.
Only Ready pods are a part of the $clusterName-$nodeGroup service, while all pods (Ready or not) are a part of $clusterName-$nodeGroup-headless.
If your group of master nodes has the default nodeGroup: master then you can just add new groups of nodes with a different nodeGroup and they will automatically discover the correct master. If your master nodes have a different nodeGroup name then you will need to set masterService to $clusterName-$masterNodeGroup.
The chart value for masterService is used to populate discovery.zen.ping.unicast.hosts, which Elasticsearch nodes will use to contact master nodes and form a cluster.
Therefore, to add a group of nodes to an existing cluster, setting masterService to the desired Service name of the related cluster is sufficient.
For an example of deploying both a group master nodes and data nodes using multiple releases of this chart, see the accompanying values files in examples/multi.
This chart uses pytest to test the templating logic. The dependencies for testing can be installed from the requirements.txt in the parent directory.
pip install -r ../requirements.txt
make pytest
You can also use helm template to look at the YAML being generated
make template
It is possible to run all of the tests and linting inside of a docker container
make test
Integration tests are run using goss which is a serverspec like tool written in golang. See goss.yaml for an example of what the tests look like.
To run the goss tests against the default example:
cd examples/default
make goss