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https://issues.apache.org/jira/browse/BEAM-13812?focusedWorklogId=727893&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-727893
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ASF GitHub Bot logged work on BEAM-13812:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 15/Feb/22 22:45
Start Date: 15/Feb/22 22:45
Worklog Time Spent: 10m
Work Description: VictorPlusC commented on a change in pull request
#16741:
URL: https://github.com/apache/beam/pull/16741#discussion_r807380813
##########
File path: sdks/python/apache_beam/runners/interactive/interactive_runner.py
##########
@@ -209,6 +214,50 @@ def visit_transform(self, transform_node):
return main_job_result
+ # TODO(victorhc): Move this method somewhere else if performance is impacted
+ # by generating a cluster during runtime.
+ def _create_dataproc_cluster_if_applicable(self, user_pipeline):
+ """ Creates a Dataproc cluster if the provided user_pipeline is running
+ FlinkRunner and no flink_master_url was provided as an option. A cluster
+ is not created when a flink_master_url is detected.
Review comment:
Added, thanks.
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Issue Time Tracking
-------------------
Worklog Id: (was: 727893)
Time Spent: 8h 20m (was: 8h 10m)
> 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: 8h 20m
> 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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