What is the way to deploy application?

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Run-application mode

(this method saves resources and isolates data once and for all, and the clusters will not influence each other.)

①, combine your project jar package with flink image to generate a new image (the default jdk is 1.8.If there is a jdk version, you can type the home directory of jdk into the image together, and then specify jdk by adding the parameter env.java.home: / opt/flink/jdk-11.0.10+0 in the configuration file)

Dockerfile:

FROM flinkRUN mkdir-p / opt/flink/usrlibCOPY matest.jar / opt/flink/usrlib/matest.jarCOPY jdk-11.0.10+0 / opt/flink/jdk-11.0.10+0 / / RUN echo "env.java.home=/opt/flink/jdk-11.0.10+0" > / opt/flink/conf/flink-conf.yaml

②, build an image

Docker build-t wordcount:1.0 (your image custom name). /

③, if there is a push from the local warehouse to the local warehouse, then the nodes of other kubernetes do not need to manually copy the image

Docker tag wordcount:1.0 192.168.xx.xx:30002/gtcom/wordcount:1.0docker push 192.168.xx.xx:30002/gtcom/wordcount:1.0

④, creating the kubernets namespace

Kubectl create namespace flink-application-cluster

⑤, the user who created the space flink (custom)

Kubectl create serviceaccount flink- n flink-application-cluster

⑥, which empowers the user (does not create a user and will report a permission error when starting up with authorization)

Kubectl create clusterrolebinding flink-role-binding-flink\-clusterrole=edit\-serviceaccount=flink-application-cluster:flink

⑦, go to the home directory of your server flink and start the cluster with the flink command

Bin/flink run-application-- target kubernetes-application\-- Dkubernetes.cluster-id=gtcom-application-cluster (custom task name Otherwise, it will be created automatically)\-Dkubernetes.namespace=flink-application-cluster\-Dkubernetes.service-account=flink\-Dkubernetes.container.image= 192.168.xx.xx:30002/gtcom/wordcount:1.0\ local:///opt/flink/usrlib/gtcom-governance-2.3.0.jar-- driverType AccessGovern-- flow news-- topicName flink-index-- kafkaParallelism 3-- sinkParallelism 3

(starting with "--driverType" are some custom parameters that your jar package needs to pass.)

Provide some pictures:

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