[
https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=389640&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-389640
]
ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------
Author: ASF GitHub Bot
Created on: 19/Feb/20 21:38
Start Date: 19/Feb/20 21:38
Worklog Time Spent: 10m
Work Description: rohdesamuel commented on pull request #10892:
[BEAM-8335] Make TestStream to/from runner_api include the output_tags property.
URL: https://github.com/apache/beam/pull/10892#discussion_r381543027
##########
File path: sdks/python/apache_beam/testing/test_stream.py
##########
@@ -133,15 +140,17 @@ def __eq__(self, other):
return self.new_watermark == other.new_watermark and self.tag == other.tag
def __hash__(self):
- return hash(self.new_watermark)
+ return hash(str(self.new_watermark) + str(self.tag))
def __lt__(self, other):
return self.new_watermark < other.new_watermark
def to_runner_api(self, unused_element_coder):
+ tag = 'None' if self.tag is None else self.tag
Review comment:
Looking through the codebase, it seems that 'None' is the special keyword
used in the Python SDK to represent a tag that is specifically None. This keeps
with the current style of the rest of the Python SDK. @lukecwik is this true?
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
Issue Time Tracking
-------------------
Worklog Id: (was: 389640)
Time Spent: 63h 10m (was: 63h)
> 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: 63h 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
--
This message was sent by Atlassian Jira
(v8.3.4#803005)