[ 
https://issues.apache.org/jira/browse/BEAM-3377?focusedWorklogId=99167&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-99167
 ]

ASF GitHub Bot logged work on BEAM-3377:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 07/May/18 19:53
            Start Date: 07/May/18 19:53
    Worklog Time Spent: 10m 
      Work Description: lukecwik commented on issue #5279: [BEAM-3377] Call 
assert_that per window via windowed (flag)
URL: https://github.com/apache/beam/pull/5279#issuecomment-387182910
 
 
   You also need to make sure that the windowing strategy has a trigger 
specified that will fire at some point in time otherwise the side input will 
never become ready. For example in the GlobalWindow you could use an 
AfterCount(1) trigger or use FixedWindows with an AfterWatermark trigger.

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on 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: 99167)
    Time Spent: 1h 20m  (was: 1h 10m)

> assert_that not working for streaming
> -------------------------------------
>
>                 Key: BEAM-3377
>                 URL: https://issues.apache.org/jira/browse/BEAM-3377
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py-core
>    Affects Versions: 2.2.0
>            Reporter: MarĂ­a GH
>            Priority: Major
>              Labels: starter
>          Time Spent: 1h 20m
>  Remaining Estimate: 0h
>
> assert_that does not work for AfterWatermark timers.
> Easy way to reproduce: modify test_gbk_execution [1] in this form:
>  
> {code:java}
>  def test_this(self):
>     test_stream = (TestStream()
>                    .add_elements(['a', 'b', 'c'])
>                    .advance_watermark_to(20))
>     def fnc(x):
>       print 'fired_elem:', x
>       return x
>     options = PipelineOptions()
>     options.view_as(StandardOptions).streaming = True
>     p = TestPipeline(options=options)
>     records = (p
>                | test_stream
>                | beam.WindowInto(
>                    FixedWindows(15),
>                    
> trigger=trigger.AfterWatermark(early=trigger.AfterCount(2)),
>                    accumulation_mode=trigger.AccumulationMode.ACCUMULATING)
>                | beam.Map(lambda x: ('k', x))
>                | beam.GroupByKey())
>     assert_that(records, equal_to([
>         ('k', ['a', 'b', 'c'])]))
>     p.run()
> {code}
> This test will pass, but if the .advance_watermark_to(20) is removed, the 
> test will fail. However, both cases fire the same elements:
>       fired_elem: ('k', ['a', 'b', 'c'])
>       fired_elem: ('k', ['a', 'b', 'c'])
> In the passing case, they correspond to the sorted_actual inside the 
> assert_that. In the failing case:
>       sorted_actual: [('k', ['a', 'b', 'c']), ('k', ['a', 'b', 'c'])]
>       sorted_actual: []
> [1] 
> https://github.com/mariapython/incubator-beam/blob/direct-timers-show/sdks/python/apache_beam/testing/test_stream_test.py#L120



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

Reply via email to