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ASF GitHub Bot logged work on BEAM-8335: ---------------------------------------- Author: ASF GitHub Bot Created on: 26/Feb/20 19:11 Start Date: 26/Feb/20 19:11 Worklog Time Spent: 10m Work Description: lukecwik commented on pull request #10892: [BEAM-8335] Make TestStream to/from runner_api include the output_tags property. URL: https://github.com/apache/beam/pull/10892#discussion_r384692255 ########## File path: sdks/python/apache_beam/testing/test_stream.py ########## @@ -133,15 +140,17 @@ def __eq__(self, other): return self.new_watermark == other.new_watermark and self.tag == other.tag def __hash__(self): - return hash(self.new_watermark) + return hash(str(self.new_watermark) + str(self.tag)) def __lt__(self, other): return self.new_watermark < other.new_watermark def to_runner_api(self, unused_element_coder): + tag = 'None' if self.tag is None else self.tag Review comment: This is a general problem with python tag naming where there is ambiguity. It was worked around for Dataflow by using `out` for `None` and `out_<tag>` for `tag` until it was removed in #10971 Unfortunately this name mangling was applied inconsistently throughout the codebase which lead to arbitrary fix-ups. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org Issue Time Tracking ------------------- Worklog Id: (was: 393710) Time Spent: 74h 20m (was: 74h 10m) > 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: 74h 20m > 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 -- This message was sent by Atlassian Jira (v8.3.4#803005)