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https://issues.apache.org/jira/browse/SPARK-39347?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

nyingping updated SPARK-39347:
------------------------------
    Summary: Generate wrong time window when 
(timestamp-startTime+slideDuration) < 0  (was: Generate wrong time window when 
(time-startTime+slideDuration) < 0)

> Generate wrong time window when (timestamp-startTime+slideDuration) < 0
> -----------------------------------------------------------------------
>
>                 Key: SPARK-39347
>                 URL: https://issues.apache.org/jira/browse/SPARK-39347
>             Project: Spark
>          Issue Type: Bug
>          Components: Structured Streaming
>    Affects Versions: 3.3.0
>            Reporter: nyingping
>            Priority: Major
>
> h2. Bug description
> Since the generation strategy of the sliding window in PR 
> [#38069|https://github.com/apache/spark/pull/35362] is changed to the current 
> one, a new problem will arise.
> When the record data time to be processed is negative and the absolute value 
> of this time is greater than the length of the window, a window generation 
> error will occur.
>  
> Because the previous test cases were not fully covered, for example, in the 
> test case [dataframetimewindowingsuite.scala#negative timestamps|#negative 
> timestamps]:
>  
> {code:java}
> val df1 = Seq(
>   ("1970-01-01 00:00:02", 1),
>   ("1970-01-01 00:00:12", 2)).toDF("time", "value")
> val df2 = Seq(
>   (LocalDateTime.parse("1970-01-01T00:00:02"), 1),
>   (LocalDateTime.parse("1970-01-01T00:00:12"), 2)).toDF("time", "value")
> Seq(df1, df2).foreach { df =>
>   checkAnswer(
>     df.select(window($"time", "10 seconds", "10 seconds", "5 seconds"), 
> $"value")
>       .orderBy($"window.start".asc)
>       .select($"window.start".cast(StringType), 
> $"window.end".cast(StringType), $"value"),
>     Seq(
>       Row("1969-12-31 23:59:55", "1970-01-01 00:00:05", 1),
>       Row("1970-01-01 00:00:05", "1970-01-01 00:00:15", 2))
>   )
> } {code}
>  
>  
> In this test case, the original data timestamp "1970-01-01 00:00:02" is 
> greater than 0, and the absolute value of the generated window start time 
> "1969-12-31 23:59:55" is less than the window size "10 seconds", so the test 
> passes normally.
>  
> But, a problem occurs when a timestamp is an age and the absolute value is 
> greater than the window length.
>  
> {code:java}
> val df3 = Seq(
>       ("1969-12-31 00:00:02", 1),
>       ("1969-12-31 00:00:12", 2)).toDF("time", "value")
>     val df4 = Seq(
>       (LocalDateTime.parse("1969-12-31T00:00:02"), 1),
>       (LocalDateTime.parse("1969-12-31T00:00:12"), 2)).toDF("time", "value")  
>   Seq(df3, df4).foreach { df =>
>       checkAnswer(
>         df.select(window($"time", "10 seconds", "10 seconds", "5 seconds"), 
> $"value")
>           .orderBy($"window.start".asc)
>           .select($"window.start".cast(StringType), 
> $"window.end".cast(StringType), $"value"),
>         Seq(
>           Row("1969-12-30 23:59:55", "1969-12-31 00:00:05", 1),
>           Row("1969-12-31 00:00:05", "1969-12-31 00:00:15", 2))
>       )
> } {code}
> run and get result:
>  
>  
> {code:java}
>  == Results ==
> !== Correct Answer - 2 ==                      == Spark Answer - 2 ==
> !struct<>                                      struct<CAST(window.start AS 
> STRING):string,CAST(window.end AS STRING):string,value:int>
> ![1969-12-30 23:59:55,1969-12-31 00:00:05,1]   [1969-12-31 
> 00:00:05,1969-12-31 00:00:15,1]
> ![1969-12-31 00:00:05,1969-12-31 00:00:15,2]   [1969-12-31 
> 00:00:15,1969-12-31 00:00:25,2] {code}
>  
>  
> h2. fix
> Since this was caused by my PR, I am extremely sorry and I will fix this bug.
>  
> h2. performance
> benchmark result:
> [oldlogic#18364|https://github.com/apache/spark/pull/18364]  VS 【fix version】
> {code:java}
> Running benchmark: tumbling windows
>   Running case: old logic
>   Stopped after 407 iterations, 10012 ms
>   Running case: new logic
>   Stopped after 615 iterations, 10007 ms
> Java HotSpot(TM) 64-Bit Server VM 1.8.0_181-b13 on Windows 10 10.0
> Intel64 Family 6 Model 158 Stepping 10, GenuineIntel
> tumbling windows:                         Best Time(ms)   Avg Time(ms)   
> Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
> ------------------------------------------------------------------------------------------------------------------------
> old logic                                            17             25        
>    9        580.1           1.7       1.0X
> new logic                                            15             16        
>    2        680.8           1.5       1.2X
> Running benchmark: sliding windows
>   Running case: old logic
>   Stopped after 10 iterations, 10296 ms
>   Running case: new logic
>   Stopped after 15 iterations, 10391 ms
> Java HotSpot(TM) 64-Bit Server VM 1.8.0_181-b13 on Windows 10 10.0
> Intel64 Family 6 Model 158 Stepping 10, GenuineIntel
> sliding windows:                          Best Time(ms)   Avg Time(ms)   
> Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
> ------------------------------------------------------------------------------------------------------------------------
> old logic                                          1000           1030        
>   19         10.0         100.0       1.0X
> new logic                                           668            693        
>   21         15.0          66.8       1.5X
>   {code}
> Fixed version than PR [# 35362 | lost a little part of the performance.
>  



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