Huang Xingbo created FLINK-29461:
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             Summary: ProcessDataStreamStreamingTests.test_process_function 
unstable
                 Key: FLINK-29461
                 URL: https://issues.apache.org/jira/browse/FLINK-29461
             Project: Flink
          Issue Type: Bug
          Components: API / Python
    Affects Versions: 1.16.0
            Reporter: Huang Xingbo



{code:java}
2022-09-29T02:10:45.3571648Z Sep 29 02:10:45 self = 
<pyflink.datastream.tests.test_data_stream.ProcessDataStreamStreamingTests 
testMethod=test_process_function>
2022-09-29T02:10:45.3572279Z Sep 29 02:10:45 
2022-09-29T02:10:45.3572810Z Sep 29 02:10:45     def 
test_process_function(self):
2022-09-29T02:10:45.3573495Z Sep 29 02:10:45         self.env.set_parallelism(1)
2022-09-29T02:10:45.3574148Z Sep 29 02:10:45         
self.env.get_config().set_auto_watermark_interval(2000)
2022-09-29T02:10:45.3580634Z Sep 29 02:10:45         
self.env.set_stream_time_characteristic(TimeCharacteristic.EventTime)
2022-09-29T02:10:45.3583194Z Sep 29 02:10:45         data_stream = 
self.env.from_collection([(1, '1603708211000'),
2022-09-29T02:10:45.3584515Z Sep 29 02:10:45                                    
             (2, '1603708224000'),
2022-09-29T02:10:45.3585957Z Sep 29 02:10:45                                    
             (3, '1603708226000'),
2022-09-29T02:10:45.3587132Z Sep 29 02:10:45                                    
             (4, '1603708289000')],
2022-09-29T02:10:45.3588094Z Sep 29 02:10:45                                    
            type_info=Types.ROW([Types.INT(), Types.STRING()]))
2022-09-29T02:10:45.3589090Z Sep 29 02:10:45     
2022-09-29T02:10:45.3589949Z Sep 29 02:10:45         class 
MyProcessFunction(ProcessFunction):
2022-09-29T02:10:45.3590710Z Sep 29 02:10:45     
2022-09-29T02:10:45.3591856Z Sep 29 02:10:45             def 
process_element(self, value, ctx):
2022-09-29T02:10:45.3592873Z Sep 29 02:10:45                 current_timestamp 
= ctx.timestamp()
2022-09-29T02:10:45.3593862Z Sep 29 02:10:45                 current_watermark 
= ctx.timer_service().current_watermark()
2022-09-29T02:10:45.3594915Z Sep 29 02:10:45                 yield "current 
timestamp: {}, current watermark: {}, current_value: {}"\
2022-09-29T02:10:45.3596201Z Sep 29 02:10:45                     
.format(str(current_timestamp), str(current_watermark), str(value))
2022-09-29T02:10:45.3597089Z Sep 29 02:10:45     
2022-09-29T02:10:45.3597942Z Sep 29 02:10:45         watermark_strategy = 
WatermarkStrategy.for_monotonous_timestamps()\
2022-09-29T02:10:45.3599260Z Sep 29 02:10:45             
.with_timestamp_assigner(SecondColumnTimestampAssigner())
2022-09-29T02:10:45.3600611Z Sep 29 02:10:45         
data_stream.assign_timestamps_and_watermarks(watermark_strategy)\
2022-09-29T02:10:45.3601877Z Sep 29 02:10:45             
.process(MyProcessFunction(), 
output_type=Types.STRING()).add_sink(self.test_sink)
2022-09-29T02:10:45.3603527Z Sep 29 02:10:45         self.env.execute('test 
process function')
2022-09-29T02:10:45.3604445Z Sep 29 02:10:45         results = 
self.test_sink.get_results()
2022-09-29T02:10:45.3605684Z Sep 29 02:10:45         expected = ["current 
timestamp: 1603708211000, current watermark: "
2022-09-29T02:10:45.3607157Z Sep 29 02:10:45                     
"-9223372036854775808, current_value: Row(f0=1, f1='1603708211000')",
2022-09-29T02:10:45.3608256Z Sep 29 02:10:45                     "current 
timestamp: 1603708224000, current watermark: "
2022-09-29T02:10:45.3609650Z Sep 29 02:10:45                     
"-9223372036854775808, current_value: Row(f0=2, f1='1603708224000')",
2022-09-29T02:10:45.3610854Z Sep 29 02:10:45                     "current 
timestamp: 1603708226000, current watermark: "
2022-09-29T02:10:45.3612279Z Sep 29 02:10:45                     
"-9223372036854775808, current_value: Row(f0=3, f1='1603708226000')",
2022-09-29T02:10:45.3613382Z Sep 29 02:10:45                     "current 
timestamp: 1603708289000, current watermark: "
2022-09-29T02:10:45.3615683Z Sep 29 02:10:45                     
"-9223372036854775808, current_value: Row(f0=4, f1='1603708289000')"]
2022-09-29T02:10:45.3617687Z Sep 29 02:10:45 >       
self.assert_equals_sorted(expected, results)
2022-09-29T02:10:45.3618620Z Sep 29 02:10:45 
2022-09-29T02:10:45.3619425Z Sep 29 02:10:45 
pyflink/datastream/tests/test_data_stream.py:986: 
2022-09-29T02:10:45.3620424Z Sep 29 02:10:45 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
2022-09-29T02:10:45.3621886Z Sep 29 02:10:45 
pyflink/datastream/tests/test_data_stream.py:66: in assert_equals_sorted
2022-09-29T02:10:45.3622847Z Sep 29 02:10:45     self.assertEqual(expected, 
actual)
2022-09-29T02:10:45.3624658Z Sep 29 02:10:45 E   AssertionError: Lists differ: 
["cur[414 chars]ark: -9223372036854775808, current_value: Row([22 chars]0')"] 
!= ["cur[414 chars]ark: 1603708225999, current_value: Row(f0=4, f[15 chars]0')"]
2022-09-29T02:10:45.3625881Z Sep 29 02:10:45 E   
2022-09-29T02:10:45.3626591Z Sep 29 02:10:45 E   First differing element 3:
2022-09-29T02:10:45.3627726Z Sep 29 02:10:45 E   "curr[44 chars]ark: 
-9223372036854775808, current_value: Row([21 chars]00')"
2022-09-29T02:10:45.3628758Z Sep 29 02:10:45 E   "curr[44 chars]ark: 
1603708225999, current_value: Row(f0=4, f[14 chars]00')"
2022-09-29T02:10:45.3629276Z Sep 29 02:10:45 E   
2022-09-29T02:10:45.3629842Z Sep 29 02:10:45 E   Diff is 753 characters long. 
Set self.maxDiff to None to see it.
{code}
https://dev.azure.com/apache-flink/apache-flink/_build/results?buildId=41436&view=logs&j=9cada3cb-c1d3-5621-16da-0f718fb86602&t=c67e71ed-6451-5d26-8920-5a8cf9651901



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