jieguangzhou opened a new pull request, #10935:
URL: https://github.com/apache/dolphinscheduler/pull/10935

   
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   ## Purpose of the pull request
   
   [Amazon SageMaker](https://docs.aws.amazon.com/sagemaker/index.html) is a 
fully managed machine learning service. With Amazon SageMaker, data scientists 
and developers can quickly build and train machine learning models, and then 
deploy them into a production-ready hosted environment.
   
   [Amazon SageMaker Model Building 
Pipelines](https://docs.aws.amazon.com/sagemaker/latest/dg/pipelines.html) is a 
tool for building machine learning pipelines that take advantage of direct 
SageMaker integration.
   
   
   For users using big data and machine learning, SageMaker task plugin help 
users connect big data workflows with SageMaker usage scenarios.
   
   DolphinScheduler SageMaker task plugin features are as follows:
   
   - Start a SageMaker pipeline execution. Continuously get the execution 
status until the pipeline completes execution.
   
   close: #10826
   
   ## Brief change log
   
   <img width="592" alt="image" 
src="https://user-images.githubusercontent.com/31528124/178694150-33693e4b-0831-4ecc-84f2-899c7ddcb108.png";>
   
   
   ## Verify this pull request
   
   <!--*(Please pick either of the following options)*-->
   
   This pull request is code cleanup without any test coverage.
   
   *(or)*
   
   This pull request is already covered by existing tests, such as *(please 
describe tests)*.
   
   (or)
   
   This change added tests and can be verified as follows:
   
   <!--*(example:)*
     - *Added dolphinscheduler-dao tests for end-to-end.*
     - *Added CronUtilsTest to verify the change.*
     - *Manually verified the change by testing locally.* -->
   


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