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ASF GitHub Bot logged work on BEAM-8335: ---------------------------------------- Author: ASF GitHub Bot Created on: 19/Feb/20 21:12 Start Date: 19/Feb/20 21:12 Worklog Time Spent: 10m Work Description: aaltay commented on pull request #10899: [BEAM-8335] Background Caching job URL: https://github.com/apache/beam/pull/10899#discussion_r381544073 ########## File path: sdks/python/apache_beam/runners/interactive/background_caching_job.py ########## @@ -132,7 +256,22 @@ def is_source_to_cache_changed(user_pipeline): is_changed = not current_signature.issubset(recorded_signature) # The computation of extract_unbounded_source_signature is expensive, track on # change by default. - if is_changed: + if is_changed and update_cached_source_signature: + if ie.current_env().options.enable_capture_replay: + if not recorded_signature: + _LOGGER.info( + 'Interactive Beam has detected you have unbounded sources ' + 'in your pipeline. In order to have a deterministic replay ' + 'of your pipeline: {}'.format( Review comment: Half sentence `In order to have a deterministic replay of your pipeline` ... What happens in this case? ---------------------------------------------------------------- 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: 389627) Time Spent: 62.5h (was: 62h 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: 62.5h > 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 -- This message was sent by Atlassian Jira (v8.3.4#803005)