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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=399464&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-399464
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ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------
Author: ASF GitHub Bot
Created on: 07/Mar/20 00:35
Start Date: 07/Mar/20 00:35
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_r389205670
##########
File path: sdks/python/apache_beam/runners/direct/transform_evaluator.py
##########
@@ -421,8 +440,12 @@ def process_element(self, element):
main_output = list(self._outputs)[0]
bundle = self._evaluation_context.create_bundle(main_output)
for tv in event.timestamped_values:
- bundle.output(
- GlobalWindows.windowed_value(tv.value, timestamp=tv.timestamp))
+ # Unreify the value into the correct window.
+ try:
+ bundle.output(WindowedValue(**tv.value))
Review comment:
Ack, for now I changed it to a WindowedValueHolder.
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Issue Time Tracking
-------------------
Worklog Id: (was: 399464)
Time Spent: 100h 20m (was: 100h 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: 100h 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
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