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https://issues.apache.org/jira/browse/BEAM-13812?focusedWorklogId=727903&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-727903
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ASF GitHub Bot logged work on BEAM-13812:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 15/Feb/22 22:53
Start Date: 15/Feb/22 22:53
Worklog Time Spent: 10m
Work Description: VictorPlusC commented on a change in pull request
#16741:
URL: https://github.com/apache/beam/pull/16741#discussion_r807385810
##########
File path: sdks/python/apache_beam/runners/interactive/interactive_beam.py
##########
@@ -329,6 +359,101 @@ def record(self, pipeline):
return recording_manager.record_pipeline()
+class Clusters():
+ """An interface for users to modify the pipelines that are being run by the
+ Interactive Environment.
+
+ Methods of the Interactive Beam Clusters class can be accessed via:
+ interactive_beam.clusters
+
+ Example of calling the Interactive Beam clusters describe method::
+ interactive_beam.clusters.describe()
+ """
+ def __init__(self) -> None:
+ """Instantiates default values for Dataproc cluster interactions.
+ """
+ self._default_cluster_name = 'interactive-beam-cluster'
+ self._master_urls = bidict()
+ self._dataproc_cluster_managers = {}
+ self._master_urls_to_pipelines = {}
+
+ def describe(self, pipeline: Optional[beam.Pipeline]=None) -> dict:
+ """Returns a description of the cluster associated to the given pipeline.
+
+ If no pipeline is given then this returns a dictionary of descriptions for
+ all pipelines.
+ """
+
+ description = ie.current_env().describe_all_clusters()
+ if pipeline:
+ return description.get(pipeline, None)
+ return description
+
+ @property
+ def default_cluster_name(self) -> str:
+ """The default name to be used when creating Dataproc clusters.
+
+ Defaults to 'interactive-beam-cluster'.
+ """
+ return self._default_cluster_name
+
+ @default_cluster_name.setter
+ def default_cluster_name(self, value: bool) -> None:
+ """Sets the default name to be used when creating Dataproc clusters.
+
+ Defaults to 'interactive-beam-cluster'.
+
+ Example of assigning a default_cluster_name::
+ interactive_beam.clusters.default_cluster_name = 'my-beam-cluster'
+ """
+ self._default_cluster_name = value
+
+ def cleanup(self, pipeline: beam.Pipeline, forcefully=False) -> None:
Review comment:
Noted, thanks!
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Issue Time Tracking
-------------------
Worklog Id: (was: 727903)
Time Spent: 9h 40m (was: 9.5h)
> 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: 9h 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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