starrocks-kubernetes-operator

StarRocks-Kubernetes-Operator

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Overview

StarRocks Kubernetes Operator is a project that implements the deployment and operation of StarRocks, a next-generation sub-second MPP OLAP database, on Kubernetes. It facilitates the deployment of StarRocks' Frontend (FE), Backend (BE), and Compute Node (CN) components within your Kubernetes environment. It also includes Helm chart for easy installation and configuration. With StarRocks Kubernetes Operator, you can easily manage the lifecycle of StarRocks clusters, such as installing, scaling, upgrading etc.

[!NOTE]
The StarRocks k8s operator was designed to be a level 2 operator. See https://sdk.operatorframework.io/docs/overview/operator-capabilities/ to understand more about the capabilities of a level 2 operator.

Prerequisites

1. Kubernetes version >= 1.18
2. Helm version >= 3.0

Features

Operator Features

• Support deploying StarRocks FE, BE and CN components separately FE component is a must-have component, BE and CN components can be optionally deployed
• Support multiple StarRocks clusters in one Kubernetes cluster
• Support external clients outside the network of kubernetes to load data into StarRocks using STREAM LOAD
• Support automatic scaling for CN nodes based on CPU and memory usage
• Support mounting persistent volumes for StarRocks containers

Helm Chart Features

• Support Helm Chart for easy installation and configuration
  • using kube-starrocks Helm chart to install both operator and StarRocks cluster
  • using operator Helm Chart to install operator, and using starrocks Helm Chart to install starrocks cluster
• Support initializing the password of root in your StarRocks cluster during installation.
• Support integration with other components in the Kubernetes ecosystem, such as Prometheus, Datadog, etc.

Installation

In order to use StarRocks in Kubernetes, you need to install:

1. StarRocksCluster CRD
2. StarRocks Operator
3. StarRocksCluster CR

There are two ways to install Operator and StarRocks Cluster.

1. Install Operator and StarRocks Cluster by yaml Manifest.
2. Install Operator and StarRocks Cluster by Helm Chart.

Note: In every release, we will provide the latest version of the yaml Manifest and Helm Chart. You can find them in https://github.com/StarRocks/starrocks-kubernetes-operator/releases

Installation by yaml Manifest

Please see Deploy StarRocks With Operator document for more details.

1. Apply the StarRocksCluster CRD

kubectl apply -f https://raw.githubusercontent.com/StarRocks/starrocks-kubernetes-operator/main/deploy/starrocks.com_starrocksclusters.yaml

2. Apply the Operator manifest

Apply the Operator manifest. By default, the Operator is configured to install in the starrocks namespace. To use the Operator in a custom namespace, download the Operator manifest and edit all instances of namespace: starrocks to specify your custom namespace. Then apply this version of the manifest to the cluster with kubectl apply -f {local-file-path} instead of using the command below.

kubectl apply -f https://raw.githubusercontent.com/StarRocks/starrocks-kubernetes-operator/main/deploy/operator.yaml

3. Deploy the StarRocks cluster

You need to prepare a separate yaml file to deploy the StarRocks. The starrocks cluster CRD fields explains in api.md. The examples directory contains some simple example for reference.

You can use any of the template yaml file as a starting point. You can further add more configurations into the template yaml file following this deployment documentation.

For demonstration purpose, we use the starrocks-fe-and-be.yaml example template to start a 3 FE and 3 BE StarRocks cluster.

Here's an example yaml for Docker Desktop with local desktop access with StarRocks 3.2.1 so you can upgrade in later steps.

atwong@Albert-CelerData sroperatortest % cat starrocks-fe-and-be.yaml
apiVersion: starrocks.com/v1
kind: StarRocksCluster
metadata:
  name: starrockscluster-sample
  namespace: starrocks
spec:
  starRocksFeSpec:
    image: starrocks/fe-ubuntu:3.2.1
    replicas: 3
    requests:
      cpu: 1
      memory: 2Gi
    limits:
      cpu: 4
      memory: 16Gi
    service:            
      type: LoadBalancer
  starRocksBeSpec:
    image: starrocks/be-ubuntu:3.2.1
    replicas: 3
    requests:
      cpu: 1
      memory: 2Gi
    limits:
      cpu: 4
      memory: 8Gi

kubectl apply -f starrocks-fe-and-be.yaml

4. Connect the StarRocks cluster

To connect, just use the mysql client and connect to the StarRocks cluster port 9030. An example of a connection is shown below.

[!NOTE]
If you want to connect remotely or through your desktop, you will need to enable the k8s Load Balander.

atwong@Albert-CelerData sroperatortest % kubectl -n starrocks get svc
NAME                                 TYPE           CLUSTER-IP      EXTERNAL-IP   PORT(S)                                                       AGE
starrockscluster-sample-be-search    ClusterIP      None            <none>        9050/TCP                                                      5m2s
starrockscluster-sample-be-service   ClusterIP      10.103.248.52   <none>        9060/TCP,8040/TCP,9050/TCP,8060/TCP                           5m2s
starrockscluster-sample-fe-search    ClusterIP      None            <none>        9030/TCP                                                      6m22s
starrockscluster-sample-fe-service   LoadBalancer   10.99.14.222    localhost     8030:32326/TCP,9020:32578/TCP,9030:30774/TCP,9010:32505/TCP   6m22s
atwong@Albert-CelerData sroperatortest % mysql -h 127.0.0.1 -P 9030 -uroot
Welcome to the MySQL monitor.  Commands end with ; or \g.
Your MySQL connection id is 3
Server version: 5.1.0 3.2.1-79ee91d

Copyright (c) 2000, 2024, Oracle and/or its affiliates.

Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners.

Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.

mysql>

5. Upgrade the StarRocks cluster

To upgrade, just patch the StarRocks cluster.

kubectl -n starrocks patch starrockscluster starrockscluster-sample --type='merge' -p '{"spec":{"starRocksFeSpec":{"image":"starrocks/fe-ubuntu:latest"}}}'
kubectl -n starrocks patch starrockscluster starrockscluster-sample --type='merge' -p '{"spec":{"starRocksBeSpec":{"image":"starrocks/be-ubuntu:latest"}}}'

6. Resize the StarRocks cluster

To resize, just patch the StarRocks cluster.

[!IMPORTANT]
Once you deploy with 3 FE nodes, you are in HA mode. Do not resize FE nodes below 3 since that will affect cluster quorum. This rule doesn't apply to CN nodes.

kubectl -n starrocks patch starrockscluster starrockscluster-sample --type='merge' -p '{"spec":{"starRocksBeSpec":{"replicas":9}}}'

7. Delete/stop the StarRocks cluster

To delete/stop the StarRocks cluster, just execute the delete command.

kubectl delete -f starrocks-fe-and-be.yaml

or

kubectl delete starrockscluster starrockscluster-sample -n starrocks

8. Delete/stop the StarRocks Operator

To delete/stop the StarRocks Operate, just execute the delete command.

kubectl delete -f https://raw.githubusercontent.com/StarRocks/starrocks-kubernetes-operator/main/deploy/operator.yaml

Installation by Helm Chart

Please see kube-starrocks for how to install both operator and StarRocks cluster by Helm Chart.

If you want more flexibility in managing your StarRocks clusters, you can deploy Operator using operator Helm Chart and StarRocks using starrocks Helm Chart separately.

Other Documents

• In doc directory, you can find more documents about how to use StarRocks Operator.
• In examples directory, you can find more examples about how to write StarRocksCluster CR.
• Documentation on docs.starrocks.io