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https://issues.apache.org/jira/browse/BEAM-13812?focusedWorklogId=727888&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-727888
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ASF GitHub Bot logged work on BEAM-13812:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 15/Feb/22 22:43
            Start Date: 15/Feb/22 22:43
    Worklog Time Spent: 10m 
      Work Description: VictorPlusC commented on a change in pull request 
#16741:
URL: https://github.com/apache/beam/pull/16741#discussion_r807379652



##########
File path: 
sdks/python/apache_beam/runners/interactive/interactive_environment.py
##########
@@ -258,31 +274,53 @@ def inspector_with_synthetic(self):
     synthetic variables generated by Interactive Beam. Internally used."""
     return self._inspector_with_synthetic
 
+  def cleanup_pipeline(self, pipeline):
+    from apache_beam.runners.interactive import background_caching_job as bcj
+    bcj.attempt_to_cancel_background_caching_job(pipeline)
+    bcj.attempt_to_stop_test_stream_service(pipeline)
+    cache_manager = self.get_cache_manager(pipeline)
+    # Recording manager performs cache manager cleanup during eviction, so we
+    # don't need to clean it up here.
+    if cache_manager and self.get_recording_manager(pipeline) is None:
+      cache_manager.cleanup()
+    if self.options.cleanup_cluster:
+      cluster_manager = self.get_dataproc_cluster_manager(pipeline)
+      if cluster_manager:

Review comment:
       Added.




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Issue Time Tracking
-------------------

    Worklog Id:     (was: 727888)
    Time Spent: 7h 40m  (was: 7.5h)

> Integrate DataprocClusterManager into Interactive Environment
> -------------------------------------------------------------
>
>                 Key: BEAM-13812
>                 URL: https://issues.apache.org/jira/browse/BEAM-13812
>             Project: Beam
>          Issue Type: New Feature
>          Components: runner-py-interactive
>            Reporter: Victor Chen
>            Assignee: Victor Chen
>            Priority: P2
>          Time Spent: 7h 40m
>  Remaining Estimate: 0h
>
> * Adds code to automatically create a Dataproc cluster configured with Docker 
> and Flink if a user instantiates an InteractiveRunner using 
> underlying_runner='FlinkRunner'
>  * By default, the created Dataproc cluster will be called 
> 'interactive-beam-cluster' and will be cleaned up when the Interactive 
> Environment is interrupted
>  * Users will be able to toggle an automatic deletion of the cluster with the 
> default name, 'interactive-beam-cluster' when the kernel is interrupted
>  * Introduces the Clusters class in interactive_beam.py, which acts as a user 
> interface that provides the user with the following capabilities:
>  ** Changing the default name of the clusters created by Interactive Beam
>  ** Cleaning up a cluster by providing a corresponding pipeline, an option to 
> force the deletion is provided, in the case where more than one pipeline use 
> the same cluster
>  ** Getting all pipelines that use the provided master_url
>  ** Receiving a description back for either the cluster corresponding to a 
> specific pipeline, or the descriptions of all pipelines



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