[
https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=397927&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-397927
]
ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------
Author: ASF GitHub Bot
Created on: 04/Mar/20 22:30
Start Date: 04/Mar/20 22:30
Worklog Time Spent: 10m
Work Description: rohdesamuel commented on pull request #10994:
[BEAM-8335] TeststreamService integration with DirectRunner
URL: https://github.com/apache/beam/pull/10994#discussion_r387973912
##########
File path: sdks/python/apache_beam/runners/direct/transform_evaluator.py
##########
@@ -527,9 +548,21 @@ def process_element(self, element):
for event in self.test_stream._set_up(self.test_stream.output_tags):
events.append(event)
- events += [e for e in self.test_stream.events(self.current_index)]
+ # Index into the global state of all the different TestStream event
streams.
+ # Retrieve this TestStream's event stream and read from it.
+ try:
+ events = [next(self.test_stream_events[self.event_index])]
Review comment:
This should be `events +=` instead of `events =`
----------------------------------------------------------------
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:
[email protected]
Issue Time Tracking
-------------------
Worklog Id: (was: 397927)
Time Spent: 90h 40m (was: 90.5h)
> 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: 90h 40m
> 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)
