Installation

Install the Stackable Operator for Apache Druid and operators for its dependencies — ZooKeeper and HDFS — as well as the commons, secret and listener operator which are required by all Stackable operators.

There are multiple ways to install the operators, stackablectl is the preferred way but Helm is also supported. OpenShift users may prefer installing the operator from the RedHat Certified Operator catalog using the OpenShift web console.

  • stackablectl

  • Helm

stackablectl is the command line tool to interact with Stackable operators and the recommended way to install operators. Follow the installation steps for your platform.

After you have installed stackablectl run the following command to install all Operators necessary for Druid:

stackablectl operator install \
  commons=0.0.0-dev \
  secret=0.0.0-dev \
  listener=0.0.0-dev \
  zookeeper=0.0.0-dev \
  hdfs=0.0.0-dev \
  druid=0.0.0-dev

The tool prints

Installed commons=0.0.0-dev operator
Installed secret=0.0.0-dev operator
Installed listener=0.0.0-dev operator
Installed zookeeper=0.0.0-dev operator
Installed hdfs=0.0.0-dev operator
Installed druid=0.0.0-dev operator
Consult the Quickstart to learn more about how to use stackablectl.

You can also use Helm to install the operators.

Add the Stackable Helm repository
helm repo add stackable-dev https://repo.stackable.tech/repository/helm-dev/
Install the Stackable operators
helm install --wait commons-operator stackable-dev/commons-operator --version 0.0.0-dev
helm install --wait secret-operator stackable-dev/secret-operator --version 0.0.0-dev
helm install --wait listener-operator stackable-dev/listener-operator --version 0.0.0-dev
helm install --wait zookeeper-operator stackable-dev/zookeeper-operator --version 0.0.0-dev
helm install --wait hdfs-operator stackable-dev/hdfs-operator --version 0.0.0-dev
helm install --wait druid-operator stackable-dev/druid-operator --version 0.0.0-dev

Helm deploys the operators in a Kubernetes Deployment and applies the CRDs for the Apache Druid service (as well as the CRDs for the required operators).

What’s next

Set up a Druid cluster and its dependencies and ingest example data and query the data.