WweiL opened a new pull request, #39843:
URL: https://github.com/apache/spark/pull/39843

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   ### What changes were proposed in this pull request?
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   I tried to understand what was introduced in 
https://github.com/apache/spark/pull/36737 and made the code more readable and 
added some test. Sharing the credit with @nyingping.
   
   The change in https://github.com/apache/spark/pull/35362 brought a bug when 
the `timestamp` is less than 0, i.e. before `1970-01-01 00:00:00 UTC`. Then for 
some windows, spark returns a wrong `windowStart` time. The root cause of this 
bug is how the module operator(%) works with negative number. 
   
   For example, 
   
   ```
   scala> 1 % 3
   res0: Int = 1
   
   scala> -1 % 3
   res1: Int = -1 // Mathematically it should be 2 here
   ```
   This lead to a wrong calculation result of `windowStart`. For a concrete 
example refer to the added comments in 
[ResolveTimeWindows.scala](https://github.com/WweiL/oss-spark/blob/fee352e46813cca1f1b6187ea9cfa27124b6049c/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveTimeWindows.scala#L58-L67)
   
   ### Why are the changes needed?
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   Please clarify why the changes are needed. For instance,
     1. If you propose a new API, clarify the use case for a new API.
     2. If you fix a bug, you can clarify why it is a bug.
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   This is a bug fix.
   
   Example from the original PR https://github.com/apache/spark/pull/36737: 
   
   Here df3 and df4 has time before 1970, so timestamp < 0.
   ```
   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))
         )
   } 
   ```
   Without the change this would error with:
   ```
   == 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] 
   ```
   Notice how this is shifted with one `slideDuration`. It should start with 
`[1969-12-30 23:59:55,1969-12-31 00:00:05,1]` but spark returns `[1969-12-31 
00:00:05,1969-12-31 00:00:15,1]`, right-shifted of one `slideDuration` (10 
seconds).
   
   ### Does this PR introduce _any_ user-facing change?
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   No.
   
   ### How was this patch tested?
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   Unit test.
   
   ### Benchmark results:
   1. Burak's original Implementation
   ```
   [info] Apple M1 Max
   [info] tumbling windows:                         Best Time(ms)   Avg 
Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
   [info] 
------------------------------------------------------------------------------------------------------------------------
   [info] burak version                                        10             
17          14        962.7           1.0       1.0X
   [info] Running benchmark: sliding windows
   [info]   Running case: burak version
   [info]   Stopped after 16 iterations, 10604 ms
   [info] OpenJDK 64-Bit Server VM 11.0.12+7-LTS on Mac OS X 12.5.1
   [info] Apple M1 Max
   [info] sliding windows:                          Best Time(ms)   Avg 
Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
   [info] 
------------------------------------------------------------------------------------------------------------------------
   [info] burak version                                       646            
663          19         15.5          64.6       1.0X
   ```
   
   2. Current implementation (buggy)
   ```
   [info] Running benchmark: tumbling windows
   [info]   Running case: current - buggy
   [info]   Stopped after 637 iterations, 10008 ms
   [info] OpenJDK 64-Bit Server VM 11.0.12+7-LTS on Mac OS X 12.5.1
   [info] Apple M1 Max
   [info] tumbling windows:                         Best Time(ms)   Avg 
Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
   [info] 
------------------------------------------------------------------------------------------------------------------------
   [info] current - buggy                                      10             
16          12       1042.7           1.0       1.0X
   [info] Running benchmark: sliding windows
   [info]   Running case: current - buggy
   [info]   Stopped after 16 iterations, 10143 ms
   [info] OpenJDK 64-Bit Server VM 11.0.12+7-LTS on Mac OS X 12.5.1
   [info] Apple M1 Max
   [info] sliding windows:                          Best Time(ms)   Avg 
Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
   [info] 
------------------------------------------------------------------------------------------------------------------------
   [info] current - buggy                                     617            
634          10         16.2          61.7       1.0X
   ```
   
   3. Purposed change in this PR:
   ```
   [info] Apple M1 Max
   [info] tumbling windows:                         Best Time(ms)   Avg 
Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
   [info] 
------------------------------------------------------------------------------------------------------------------------
   [info] purposed change                                      10             
16          11        981.2           1.0       1.0X
   [info] Running benchmark: sliding windows
   [info]   Running case: purposed change
   [info]   Stopped after 18 iterations, 10122 ms
   [info] OpenJDK 64-Bit Server VM 11.0.12+7-LTS on Mac OS X 12.5.1
   [info] Apple M1 Max
   [info] sliding windows:                          Best Time(ms)   Avg 
Time(ms)   Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
   [info] 
------------------------------------------------------------------------------------------------------------------------
   [info] purposed change                                     548            
562          19         18.3          54.8       1.0X
   ```
   Note that I run them separately, because I found that if you run these tests 
sequentially, the later one will always get a performance gain. I think the 
computer is doing some optimizations.


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