kubectl --namespace flink create secret docker-registry aliyun-docker-registry --docker-server=registry.cn-shenzhen.aliyuncs.com --docker-username=ops_acr@1060896234 --docker-password=passwd --docker-email=DOCKER_EMAIL
注意命名空间指定你使用的 我的命名空间是flink
secret type = docker-registry 这个是固定值不需要动
aliyun-docker-registry 为你的secret 取的固定名称
–docker-server 就是你私库地址
–docker-username 登录名称
–docker-password 登录密码
kubectl get secret aliyun-docker-registry -n flink
#后面的命名空间不要忘记 要不然找不到
kubectl --namespace flink get secret aliyun-docker-registry -o yaml
# 以yaml 的方式查看配置文件
apiVersion: flink.apache.org/v1beta1
kind: FlinkDeployment
metadata:
name: autoscaling-example
namespace: flink
spec:
imagePullPolicy: IfNotPresent
flinkVersion: v1_18
flinkConfiguration:
job.autoscaler.enabled: "true"
job.autoscaler.stabilization.interval: "1m"
job.autoscaler.metrics.window: "3m"
pipeline.max-parallelism: "24"
taskmanager.numberOfTaskSlots: "2"
state.savepoints.dir: hdfs:///flink/savepoints
state.checkpoints.dir: hdfs:///flink/checkpoints
high-availability.type: kubernetes
high-availability.storageDir: hdfs:///flink/ha
execution.checkpointing.interval: "1m"
jobmanager.scheduler: adaptive
job.autoscaler.target.utilization.boundary: "0.1"
serviceAccount: flink
podTemplate:
apiVersion: v1
kind: Pod
metadata:
name: pod-template
spec:
containers:
- name: flink-main-container
imagePullPolicy: IfNotPresent
image: registry.cn-hangzhou.aliyuncs.com/liguo/autoscaling-example:17.0
imagePullSecrets:
- name: aliyun-docker-registry
jobManager:
resource:
memory: "1024m"
cpu: 1
taskManager:
resource:
memory: "1024m"
cpu: 1
job:
jarURI: local:///opt/flink/usrlib/flink1_18demo-1.0-SNAPSHOT.jar
parallelism: 1
upgradeMode: last-state
目前对k8s 刚刚接触1周所有对podTemplate 还是不太了解 目前这个配置时可用的 在pod 中拉取镜像引用 鉴权
kubectl create -f test.yaml -n flink
#我内部已经指定命名空间了 但是我习惯对外加上