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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=361961&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-361961
]
ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------
Author: ASF GitHub Bot
Created on: 20/Dec/19 23:39
Start Date: 20/Dec/19 23:39
Worklog Time Spent: 10m
Work Description: davidyan74 commented on pull request #10442:
[BEAM-8335] On Unbounded Source change
URL: https://github.com/apache/beam/pull/10442#discussion_r360608502
##########
File path:
sdks/python/apache_beam/runners/interactive/background_caching_job.py
##########
@@ -75,14 +77,16 @@ def is_background_caching_job_needed(user_pipeline):
return (has_source_to_cache(user_pipeline) and
# Checks if it's the first time running a job from the pipeline.
(not background_caching_job_result or
- # Or checks if there is no valid previous job.
+ # Or checks if there is no previous job.
background_caching_job_result.state not in (
# DONE means a previous job has completed successfully and the
# cached events are still valid.
runners.runner.PipelineState.DONE,
# RUNNING means a previous job has been started and is still
# running.
- runners.runner.PipelineState.RUNNING)))
+ runners.runner.PipelineState.RUNNING) or
+ # Or checks if we can invalidate the previous job.
+ is_unbounded_source_changed(user_pipeline)))
Review comment:
Similar to the reason why we use has_source_to_cache() above instead of
has_unbounded_source(), we need to see whether any of the sources to cache has
changed. So perhaps we should change this to something like
cache_sources_changed()
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Issue Time Tracking
-------------------
Worklog Id: (was: 361961)
Time Spent: 50h 10m (was: 50h)
> 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: 50h 10m
> 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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