5.2 KiB
5.2 KiB
Flink-kubernetes-operator
A Kubernetes operator for Apache Flink(https://github.com/apache/flink-kubernetes-operator), it allows users to manage Flink applications and their lifecycle through native k8s tooling like kubectl.
Install
vela addon enable flink-kubernetes-operator
Uninstall
vela addon disable flink-kubernetes-operator
Check the flink-kubernetes-operator running status
Since this addon dependents fluxcd and cert-manager addon, so will enable them automatically. Check the status of them:
$ vela ls -n vela-system
APP COMPONENT TYPE TRAITS PHASE HEALTHY STATUS CREATED-TIME
addon-cert-manager cert-manager helm running healthy Fetch repository successfully, Create helm release 2022-06-16 11:50:19 +0800 CST
successfully
addon-flink-kubernetes-operator flink-namespace raw running healthy 2022-06-16 11:50:20 +0800 CST
└─ flink-operator helm running healthy Fetch repository successfully, Create helm release 2022-06-16 11:50:20 +0800 CST
successfully
addon-fluxcd flux-system-namespace raw running healthy 2022-06-16 11:47:07 +0800 CST
└─ fluxcd-resources k8s-objects running healthy 2022-06-16 11:47:07 +0800 CST
Show the component type flink-cluster, so we know how to use it in one application. As a Flink user, you can choose the parameter to set for your Flink cluster
vela show flink-cluster
# Properties
+--------------+-------------+--------+----------+---------------------------------------------------------------+
| NAME | DESCRIPTION | TYPE | REQUIRED | DEFAULT |
+--------------+-------------+--------+----------+---------------------------------------------------------------+
| name | | string | true | |
| namespace | | string | true | |
| nots | | string | true | 2 |
| flinkVersion | | string | true | v1_14 |
| image | | string | true | flink:latest |
| jarURI | | string | true | local:///opt/flink/examples/streaming/StateMachineExample.jar |
| parallelism | | int | true | 2 |
| upgradeMode | | string | true | stateless |
| replicas | | int | true | 1 |
| jmcpu | | int | true | 1 |
| jmmem | | string | true | 1024m |
| tmcpu | | int | true | 1 |
| tmmem | | string | true | 1024m |
+--------------+-------------+--------+----------+---------------------------------------------------------------+
Example for how to run a component typed flink-cluster in application
First please make sure your cluster already exists namespace flink-home.
Then deploy the application:
cat <<EOF | vela up -f -
apiVersion: core.oam.dev/v1beta1
kind: Application
metadata:
name: flink-app-v1
spec:
components:
- name: my-flink-component
type: flink-cluster
properties:
name: my-flink-cluster
namespace: flink-home
EOF
Check all the related resources:
vela status flink-app-v1
About:
Name: flink-app-v1
Created at: 2022-04-22 17:33:51 +0800 CST
Status: running
Workflow:
mode: DAG
finished: true
Suspend: false
Terminated: false
Steps
- id:n6na24x6dr
name:my-flink-component
type:apply-component
phase:succeeded
message:
Services:
- Name: my-flink-component
Cluster: local Namespace: default
Type: flink-cluster
Healthy
No trait applied
You can see you first flink-cluster application is running!