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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=358973&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-358973
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ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------
Author: ASF GitHub Bot
Created on: 12/Dec/19 22:27
Start Date: 12/Dec/19 22:27
Worklog Time Spent: 10m
Work Description: davidyan74 commented on pull request #10368:
[BEAM-8335] Modify PipelineInstrument to add TestStream for unbounded
PCollections
URL: https://github.com/apache/beam/pull/10368#discussion_r357403298
##########
File path:
sdks/python/apache_beam/runners/interactive/pipeline_instrument_test.py
##########
@@ -273,6 +281,47 @@ def visit_transform(self, transform_node):
p_origin.visit(v)
assert_pipeline_equal(self, p_origin, p_copy)
+ def test_instrument_example_unbounded_pipeline_to_read_cache(self):
+ p_origin, init_pcoll, second_pcoll = self._example_pipeline(watch=True,
+ bounded=False)
+ p_copy, _, _ = self._example_pipeline(watch=False, bounded=False)
+
+ # Mock as if cacheable PCollections are cached.
+ init_pcoll_cache_key = 'init_pcoll_' + str(
+ id(init_pcoll)) + '_' + str(id(init_pcoll.producer))
+ self._mock_write_cache(init_pcoll, init_pcoll_cache_key)
+ second_pcoll_cache_key = 'second_pcoll_' + str(
+ id(second_pcoll)) + '_' + str(id(second_pcoll.producer))
+ self._mock_write_cache(second_pcoll, second_pcoll_cache_key)
+ ie.current_env().cache_manager().exists = MagicMock(return_value=True)
+ instr.pin(p_copy)
Review comment:
Thanks. Can we add a comment to the pin() method that clarifies?
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Issue Time Tracking
-------------------
Worklog Id: (was: 358973)
Time Spent: 45.5h (was: 45h 20m)
> 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: 45.5h
> 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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