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
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
aggregation with codegen:
SPARK-3176 Added Parser of SQL LAST():
Steps to reproduce
No response
Expected behavior
No response
Additional context
No response