viirya opened a new issue, #260:
URL: https://github.com/apache/arrow-datafusion-comet/issues/260

   ### Describe the bug
   
   While trying to enable columnar shuffle by default, I found some Spark SQL 
tests are failed. Some are wrong aggregate result, e.g.
   
   SQLQuerySuite: SPARK-8828 sum should return null if all input values are null
   ```
   [info]   == Physical Plan ==                                                 
                                                                                
                                                                          
   [info]   AdaptiveSparkPlan isFinalPlan=true                                  
                                                                                
                                                                          
   [info]   +- == Final Plan ==                                                 
                                                                                
                                                                          
   [info]      *(2) ColumnarToRow                                               
                                                                                
                                                                          
   [info]      +- CometHashAggregate [sum#3766L, sum#3767, count#3768L], Final, 
[sum(a#136), avg(a#136)]                                                        
                                                                          
   [info]         +- ShuffleQueryStage 0
   [info]            +- CometColumnarExchange SinglePartition, 
ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5228]
   [info]               +- RowToColumnar
   [info]                  +- *(1) HashAggregate(keys=[], 
functions=[partial_sum(a#136), partial_avg(a#136)], output=[sum#3766L, 
sum#3767, count#3768L])
   [info]                     +- *(1) SerializeFromObject 
[knownnotnull(assertnotnull(input[0, 
org.apache.spark.sql.test.SQLTestData$NullInts, true])).a.intValue AS a#136]
   [info]                        +- Scan[obj#135]
   [info]   +- == Initial Plan ==
   [info]      CometHashAggregate [sum#3766L, sum#3767, count#3768L], Final, 
[sum(a#136), avg(a#136)]
   [info]      +- CometColumnarExchange SinglePartition, ENSURE_REQUIREMENTS, 
CometColumnarShuffle, [plan_id=5117]
   [info]         +- HashAggregate(keys=[], functions=[partial_sum(a#136), 
partial_avg(a#136)], output=[sum#3766L, sum#3767, count#3768L])
   [info]            +- SerializeFromObject 
[knownnotnull(assertnotnull(input[0, 
org.apache.spark.sql.test.SQLTestData$NullInts, true])).a.intValue AS a#136]
   [info]               +- Scan[obj#135]
   ...
   [info]   == Results ==
   [info]   !== Correct Answer - 1 ==   == Spark Answer - 1 ==
   [info]   !struct<>                   struct<sum(a):bigint,avg(a):double>
   [info]   ![null,null]                [null,NaN] (QueryTest.scala:243)
   ```
   
   aggregation with codegen:
   ```
   == Physical Plan ==
   [info]   AdaptiveSparkPlan isFinalPlan=true
   [info]   +- == Final Plan ==
   [info]      *(2) ColumnarToRow
   [info]      +- CometHashAggregate [sum#4362, sum#4363, count#4364L], Final, 
[sum(null), avg(null)]
   [info]         +- ShuffleQueryStage 0
   [info]            +- CometColumnarExchange SinglePartition, 
ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10168]
   [info]               +- RowToColumnar
   [info]                  +- *(1) HashAggregate(keys=[], 
functions=[partial_sum(null), partial_avg(null)], output=[sum#4362, sum#4363, 
count#4364L])
   [info]                     +- *(1) SerializeFromObject
   [info]                        +- Scan[obj#12]
   [info]   +- == Initial Plan ==
   [info]      CometHashAggregate [sum#4362, sum#4363, count#4364L], Final, 
[sum(null), avg(null)]
   [info]      +- CometColumnarExchange SinglePartition, ENSURE_REQUIREMENTS, 
CometColumnarShuffle, [plan_id=10060]
   [info]         +- HashAggregate(keys=[], functions=[partial_sum(null), 
partial_avg(null)], output=[sum#4362, sum#4363, count#4364L])
   [info]            +- SerializeFromObject
   [info]               +- Scan[obj#12]
   [info]   
   [info]   == Results ==
   [info]   
   [info]   == Results ==
   [info]   !== Correct Answer - 1 ==   == Spark Answer - 1 ==
   [info]   !struct<>                   
struct<sum(a):double,avg(a):double,count(NULL):bigint>
   [info]   ![null,null,0]              [null,NaN,0] (QueryTest.scala:243)
   ```
   
   SPARK-3176 Added Parser of SQL LAST():
   ```
   [info]   == Physical Plan ==
   [info]   AdaptiveSparkPlan isFinalPlan=true
   [info]   +- == Final Plan ==
   [info]      *(2) ColumnarToRow
   [info]      +- CometHashAggregate [last#4396, valueSet#4397], Final, 
[last(n#93, false)]
   [info]         +- ShuffleQueryStage 0
   [info]            +- CometColumnarExchange SinglePartition, 
ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10390]
   [info]               +- RowToColumnar
   [info]                  +- *(1) HashAggregate(keys=[], 
functions=[partial_last(n#93, false)], output=[last#4396, valueSet#4397])
   [info]                     +- *(1) SerializeFromObject 
[knownnotnull(assertnotnull(input[0, 
org.apache.spark.sql.test.SQLTestData$LowerCaseData, true])).n AS n#93]
   [info]                        +- Scan[obj#92]
   [info]   +- == Initial Plan ==
   [info]      CometHashAggregate [last#4396, valueSet#4397], Final, 
[last(n#93, false)]
   [info]      +- CometColumnarExchange SinglePartition, ENSURE_REQUIREMENTS, 
CometColumnarShuffle, [plan_id=10279]
   [info]         +- HashAggregate(keys=[], functions=[partial_last(n#93, 
false)], output=[last#4396, valueSet#4397])
   [info]            +- SerializeFromObject 
[knownnotnull(assertnotnull(input[0, 
org.apache.spark.sql.test.SQLTestData$LowerCaseData, true])).n AS n#93]
   [info]               +- Scan[obj#92]
   [info]   
   [info]   == Results ==
   [info]   
   [info]   == Results ==
   [info]   !== Correct Answer - 1 ==   == Spark Answer - 1 ==
   [info]   !struct<>                   struct<last(n):int>
   [info]   ![4]                        [2] (QueryTest.scala:243)
   ```
   
   ### Steps to reproduce
   
   _No response_
   
   ### Expected behavior
   
   _No response_
   
   ### Additional context
   
   _No response_


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