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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=397802&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-397802
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ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------
Author: ASF GitHub Bot
Created on: 04/Mar/20 19:25
Start Date: 04/Mar/20 19:25
Worklog Time Spent: 10m
Work Description: rohdesamuel commented on pull request #11005:
[BEAM-8335] Modify the StreamingCache to subclass the CacheManager
URL: https://github.com/apache/beam/pull/11005#discussion_r387883019
##########
File path: sdks/python/apache_beam/options/pipeline_options.py
##########
@@ -1127,6 +1127,12 @@ def _add_argparse_args(cls, parser):
help='The time to wait (in milliseconds) for test pipeline to finish. '
'If it is set to None, it will wait indefinitely until the job '
'is finished.')
+ parser.add_argument(
+ '--test_stream_service_endpoint',
Review comment:
Ack, taken from proto
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Issue Time Tracking
-------------------
Worklog Id: (was: 397802)
Time Spent: 88.5h (was: 88h 20m)
> Add streaming support to Interactive Beam
> -----------------------------------------
>
> Key: BEAM-8335
> URL: https://issues.apache.org/jira/browse/BEAM-8335
> Project: Beam
> Issue Type: Improvement
> Components: runner-py-interactive
> Reporter: Sam Rohde
> Assignee: Sam Rohde
> Priority: Major
> Time Spent: 88.5h
> Remaining Estimate: 0h
>
> This issue tracks the work items to introduce streaming support to the
> Interactive Beam experience. This will allow users to:
> * Write and run a streaming job in IPython
> * Automatically cache records from unbounded sources
> * Add a replay experience that replays all cached records to simulate the
> original pipeline execution
> * Add controls to play/pause/stop/step individual elements from the cached
> records
> * Add ability to inspect/visualize unbounded PCollections
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