[CH] Make aggregate output schemas same between spark plan and native plan

[lgbo-ustc]

Description

Some aggregate functions' output is different between spark plan and native plan. For example, avg has two output columns, sum and count, in partial aggregating stage. But native plan has only one, avg.

This will cause some trobule. In #7649, we cannot apply the optimization for this.

[lgbo-ustc]

Original spark plan

0: jdbc:hive2://localhost:10000> explain select n_regionkey, avg(n_nationkey) from tpch_pq.nation group by n_regionkey;
+----------------------------------------------------+
|                        plan                        |
+----------------------------------------------------+
| == Physical Plan ==
CHNativeColumnarToRow
+- ^(4) HashAggregateTransformer(keys=[n_regionkey#2L], functions=[avg(cast(n_nationkey#0L as double))], isStreamingAgg=false)
   +- ^(4) InputIteratorTransformer[n_regionkey#2L, sum#32, count#33L]
      +- ColumnarExchange hashpartitioning(n_regionkey#2L, 5), ENSURE_REQUIREMENTS, [plan_id=214], [shuffle_writer_type=hash], [OUTPUT] ArrayBuffer(n_regionkey:LongType, sum:DoubleType, count:LongType)
         +- ^(3) HashAggregateTransformer(keys=[n_regionkey#2L], functions=[partial_avg(_pre_1#34)], isStreamingAgg=false)
            +- ^(3) ProjectExecTransformer [n_nationkey#0L, n_regionkey#2L, cast(n_nationkey#0L as double) AS _pre_1#34]
               +- ^(3) NativeFileScan parquet tpch_pq.nation[n_nationkey#0L,n_regionkey#2L] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/home//workspace/docker/local_gluten/tpch_pq_data/nat..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<n_nationkey:bigint,n_regionkey:bigint>

modified spark plan

0: jdbc:hive2://localhost:10000> explain select n_regionkey, avg(n_nationkey) from tpch_pq.nation group by n_regionkey;
+----------------------------------------------------+
|                        plan                        |
+----------------------------------------------------+
| == Physical Plan ==
CHNativeColumnarToRow
+- ^(15) HashAggregateTransformer(keys=[n_regionkey#7L], functions=[avg(cast(n_nationkey#5L as double))], isStreamingAgg=false)
   +- ^(15) InputIteratorTransformer[n_regionkey#7L, avg(_pre_2#97)#91]
      +- ColumnarExchange hashpartitioning(n_regionkey#7L, 5), ENSURE_REQUIREMENTS, [plan_id=620], [shuffle_writer_type=hash], [OUTPUT] Vector(n_regionkey:LongType, avg(_pre_2#97):DoubleType)
         +- ^(14) HashAggregateTransformer(keys=[n_regionkey#7L], functions=[partial_avg(_pre_2#97)], isStreamingAgg=false)
            +- ^(14) ProjectExecTransformer [n_nationkey#5L, n_regionkey#7L, cast(n_nationkey#5L as double) AS _pre_2#97]
               +- ^(14) NativeFileScan parquet tpch_pq.nation[n_nationkey#5L,n_regionkey#7L] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/home//workspace/docker/local_gluten/tpch_pq_data/nat..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<n_nationkey:bigint,n_regionkey:bigint>

 |
+----------------------------------------------------+