wangyang0918 opened a new pull request #12003:
URL: https://github.com/apache/flink/pull/12003


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   ## What is the purpose of the change
   
   The PR is to support application mode for the Kubernetes. The start command 
is very similar to Yarn integration just like following. Non-ha and HA mode 
both should work as expected.
   ```
   flink run-application -t kubernetes-application \
       -Dkubernetes.cluster-id=${CLUSTER_ID} \
       -Dkubernetes.container.image=${FLINK_IMAGE_NAME} \
       -Djobmanager.memory.process.size=2048m \
       -Dkubernetes.jobmanager.cpu=1 \
       -Dkubernetes.taskmanager.cpu=1 \
       -Dkubernetes.rest-service.exposed.type=NodePort \
       local:///opt/flink/examples/streaming/WindowJoin.jar
   ```
   
   How to specify user jar and classpath?
   In native K8s application, when the jobmanager is launched, all the user jar 
and dependencies have already existed(e.g. built in the image, or downloaded by 
init-container). 
   
   The user jar should be specified with schema `local://`, which means it 
exists in the jobmanager side.
   
   For the dependencies, users could put it in the `$FLINK_HOME/usrlib` 
directory, the jars located in the usrlib will be automatically added to the 
user classpath. They could also specify the user classpath via `-C/--classpath` 
of `flink run-application` command.
   
   
   
   ## Brief change log
   
   * Make flink run-application could support local schema
   * Support application mode for kubernetes
   * Add e2e tests for Kubernetes application mode
   * Set log4j for Kubernetes cli
   
   
   ## Verifying this change
   * The changes is covered by new added UT and e2e 
test(`test_kubernetes_application.sh`)
   * Manually test in a real K8s cluster for the non-HA and HA mode
   
   
   ## Does this pull request potentially affect one of the following parts:
   
     - Dependencies (does it add or upgrade a dependency): (yes / **no**)
     - The public API, i.e., is any changed class annotated with 
`@Public(Evolving)`: (yes / **no**)
     - The serializers: (yes / **no** / don't know)
     - The runtime per-record code paths (performance sensitive): (yes / **no** 
/ don't know)
     - Anything that affects deployment or recovery: JobManager (and its 
components), Checkpointing, Kubernetes/Yarn/Mesos, ZooKeeper: (**yes** / no / 
don't know)
     - The S3 file system connector: (yes / **no** / don't know)
   
   ## Documentation
   
     - Does this pull request introduce a new feature? (**yes** / no)
     - If yes, how is the feature documented? (will update the doc in a 
separate ticket)
   


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