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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=399467&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-399467
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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_r389205722
##########
File path: sdks/python/apache_beam/runners/direct/transform_evaluator.py
##########
@@ -214,11 +214,31 @@ class _TestStreamRootBundleProvider(RootBundleProvider):
"""
def get_root_bundles(self):
test_stream = self._applied_ptransform.transform
+
+ # The TestStream specification allows for multiple TestStreams in the same
+ # pipeline (with only one controlling the clock). Here, we use an array in
+ # the global EvaluationContext state to keep track of the iterator for each
+ # event stream.
+ idx = len(self._evaluation_context._test_stream_events)
+
+ # If there was an endpoint defined then get the events from the
+ # TestStreamService.
+ if self._evaluation_context._test_stream_endpoint:
Review comment:
This is a way to keep track of where in the event stream the TestStream is.
Because the _TestStreamEvaluator can be created multiple times, the iterator
will become invalid once we try to make a new one. This is actually a cleanup
of the old implementation where the state was kept in an unprocessed bundle
that was passed to itself.
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Issue Time Tracking
-------------------
Worklog Id: (was: 399467)
Time Spent: 100h 50m (was: 100h 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: 100h 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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