1、创建flink configmap
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| kubectl create -f flink-configuration-configmap.yaml
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flink-configuration-configmap.yaml
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| apiVersion: v1
kind: ConfigMap
metadata:
name: flink-config
labels:
app: flink
data:
flink-conf.yaml: |+
jobmanager.rpc.address: flink-jobmanager
taskmanager.numberOfTaskSlots: 1
blob.server.port: 6124
jobmanager.rpc.port: 6123
taskmanager.rpc.port: 6122
jobmanager.heap.size: 1024m
taskmanager.heap.size: 1024m
log4j.properties: |+
log4j.rootLogger=INFO, file
log4j.logger.akka=INFO
log4j.logger.org.apache.kafka=INFO
log4j.logger.org.apache.hadoop=INFO
log4j.logger.org.apache.zookeeper=INFO
log4j.appender.file=org.apache.log4j.FileAppender
log4j.appender.file.file=${log.file}
log4j.appender.file.layout=org.apache.log4j.PatternLayout
log4j.appender.file.layout.ConversionPattern=%d{yyyy-MM-dd HH:mm:ss,SSS} %-5p %-60c %x - %m%n
log4j.logger.org.apache.flink.shaded.akka.org.jboss.netty.channel.DefaultChannelPipeline=ERROR, file
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2、创建jobmanager service
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| kubectl create -f jobmanager-service.yaml
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jobmanager-service.yaml
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| apiVersion: v1
kind: Service
metadata:
name: flink-jobmanager
spec:
type: ClusterIP
ports:
- name: rpc
port: 6123
- name: blob
port: 6124
- name: ui
port: 8081
selector:
app: flink
component: jobmanager
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使用NodePort向集群外提供服务：
jobmanager-rest-service.yaml
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| apiVersion: v1
kind: Service
metadata:
name: flink-jobmanager-rest
spec:
type: NodePort
ports:
- name: rest
port: 8081
targetPort: 8081
selector:
app: flink
component: jobmanager
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3、创建jobmanager deployment
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| kubectl create -f jobmanager-deployment.yaml
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jobmanager-deployment.yaml
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| apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: flink-jobmanager
spec:
replicas: 1
template:
metadata:
labels:
app: flink
component: jobmanager
spec:
containers:
- name: jobmanager
image: flink:latest
workingDir: /opt/flink
command: ["/bin/bash", "-c", "$FLINK_HOME/bin/jobmanager.sh start;\
while :;
do
if [[ -f $(find log -name '*jobmanager*.log' -print -quit) ]];
then tail -f -n +1 log/*jobmanager*.log;
fi;
done"]
ports:
- containerPort: 6123
name: rpc
- containerPort: 6124
name: blob
- containerPort: 8081
name: ui
livenessProbe:
tcpSocket:
port: 6123
initialDelaySeconds: 30
periodSeconds: 60
volumeMounts:
- name: flink-config-volume
mountPath: /opt/flink/conf
volumes:
- name: flink-config-volume
configMap:
name: flink-config
items:
- key: flink-conf.yaml
path: flink-conf.yaml
- key: log4j.properties
path: log4j.properties
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4、创建taskmanager deployment
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| kubectl create -f taskmanager-deployment.yaml
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taskmanager-deployment.yaml
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| apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: flink-taskmanager
spec:
replicas: 2
template:
metadata:
labels:
app: flink
component: taskmanager
spec:
containers:
- name: taskmanager
image: flink:latest
workingDir: /opt/flink
command: ["/bin/bash", "-c", "$FLINK_HOME/bin/taskmanager.sh start; \
while :;
do
if [[ -f $(find log -name '*taskmanager*.log' -print -quit) ]];
then tail -f -n +1 log/*taskmanager*.log;
fi;
done"]
ports:
- containerPort: 6122
name: rpc
livenessProbe:
tcpSocket:
port: 6122
initialDelaySeconds: 30
periodSeconds: 60
volumeMounts:
- name: flink-config-volume
mountPath: /opt/flink/conf/
volumes:
- name: flink-config-volume
configMap:
name: flink-config
items:
- key: flink-conf.yaml
path: flink-conf.yaml
- key: log4j.properties
path: log4j.properties
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5、访问Flink Portal管理界面
5.1 kubectl proxy
直接使用kubectl proxy ，
然后，通过 http://localhost:8001/api/v1/namespaces/default/services/flink-jobmanager:ui/proxy 访问
5.2 kubectl port-forward
通过kubectl转发
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| kubectl port-forward ${flink-jobmanager-pod} 8081:8081
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然后，通过 http://localhost:8081 访问
Reference