[ https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=397018&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-397018 ]
ASF GitHub Bot logged work on BEAM-8335: ---------------------------------------- Author: ASF GitHub Bot Created on: 03/Mar/20 20:41 Start Date: 03/Mar/20 20:41 Worklog Time Spent: 10m Work Description: robertwb commented on pull request #11005: [BEAM-8335] Modify the StreamingCache to subclass the CacheManager URL: https://github.com/apache/beam/pull/11005#discussion_r387280719 ########## File path: sdks/python/apache_beam/runners/direct/transform_evaluator.py ########## @@ -471,7 +537,44 @@ def process_element(self, element): # We can either have the _TestStream or the _WatermarkController to emit # the elements. We chose to emit in the _WatermarkController so that the # element is emitted at the correct watermark value. - for event in self.test_stream.events(self.current_index): + events = [] + if self.watermark == MIN_TIMESTAMP: + for event in self.test_stream._set_up(self.test_stream.output_tags): + events.append(event) + + if self.test_stream_event_channel: + try: + event = next(self.test_stream_event_channel) Review comment: Don't we already have this translation logic elsewhere. Also, it seems we could unify events-from-memory vs. events-from-grpc more. ---------------------------------------------------------------- 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: 397018) > 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: 84h 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)