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https://issues.apache.org/jira/browse/BEAM-3377?focusedWorklogId=103240&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-103240
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ASF GitHub Bot logged work on BEAM-3377:
----------------------------------------
Author: ASF GitHub Bot
Created on: 18/May/18 06:49
Start Date: 18/May/18 06:49
Worklog Time Spent: 10m
Work Description: mariapython commented on a change in pull request
#5384: [BEAM-3377] Add validation for streaming wordcount with assert_that
URL: https://github.com/apache/beam/pull/5384#discussion_r189176609
##########
File path: sdks/python/apache_beam/examples/streaming_wordcount_debugging.py
##########
@@ -0,0 +1,179 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+"""An example to use assert_that to validate streaming wordcount.
Review comment:
Done.
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Issue Time Tracking
-------------------
Worklog Id: (was: 103240)
Time Spent: 4.5h (was: 4h 20m)
> 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: María GH
> Priority: Major
> Labels: starter
> Time Spent: 4.5h
> 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
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