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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=397819&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-397819
]
ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------
Author: ASF GitHub Bot
Created on: 04/Mar/20 19:35
Start Date: 04/Mar/20 19:35
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_r387888483
##########
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:
Ack, unified it with the two methods in the test_stream_impl to return
iterators. These will be stored in the global EvaluationContext state.
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Issue Time Tracking
-------------------
Worklog Id: (was: 397819)
Time Spent: 89h 50m (was: 89h 40m)
> 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: 89h 50m
> 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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