== Physical Plan ==
VeloxColumnarToRow (32)
+- TakeOrderedAndProjectExecTransformer (31)
   +- ^ ProjectExecTransformer (29)
      +- ^ RegularHashAggregateExecTransformer (28)
         +- ^ InputIteratorTransformer (27)
            +- ColumnarExchange (25)
               +- VeloxResizeBatches (24)
                  +- ^ ProjectExecTransformer (22)
                     +- ^ FlushableHashAggregateExecTransformer (21)
                        +- ^ ProjectExecTransformer (20)
                           +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (19)
                              :- ^ ProjectExecTransformer (11)
                              :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (10)
                              :     :- ^ ProjectExecTransformer (3)
                              :     :  +- ^ FilterExecTransformer (2)
                              :     :     +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (1)
                              :     +- ^ InputIteratorTransformer (9)
                              :        +- ColumnarBroadcastExchange (7)
                              :           +- ^ FilterExecTransformer (5)
                              :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store_sales (4)
                              +- ^ InputIteratorTransformer (18)
                                 +- ColumnarBroadcastExchange (16)
                                    +- ^ ProjectExecTransformer (14)
                                       +- ^ FilterExecTransformer (13)
                                          +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (12)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#1, d_year#2, d_moy#3]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,12), EqualTo(d_year,1998), GreaterThanOrEqual(d_date_sk,2451149), LessThanOrEqual(d_date_sk,2451179), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(2) FilterExecTransformer
Input [3]: [d_date_sk#1, d_year#2, d_moy#3]
Arguments: ((((((isnotnull(d_moy#3) AND isnotnull(d_year#2)) AND (d_moy#3 = 12)) AND (d_year#2 = 1998)) AND (d_date_sk#1 >= 2451149)) AND (d_date_sk#1 <= 2451179)) AND isnotnull(d_date_sk#1))

(3) ProjectExecTransformer
Output [2]: [d_date_sk#1, d_year#2]
Input [3]: [d_date_sk#1, d_year#2, d_moy#3]

(4) FileSourceScanExecTransformer parquet spark_catalog.default.store_sales
Output [3]: [ss_item_sk#4, ss_ext_sales_price#5, ss_sold_date_sk#6]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#6), (ss_sold_date_sk#6 >= 2451149), (ss_sold_date_sk#6 <= 2451179), dynamicpruningexpression(true)]
PushedFilters: [IsNotNull(ss_item_sk)]
ReadSchema: struct<ss_item_sk:int,ss_ext_sales_price:decimal(7,2)>

(5) FilterExecTransformer
Input [3]: [ss_item_sk#4, ss_ext_sales_price#5, ss_sold_date_sk#6]
Arguments: isnotnull(ss_item_sk#4)

(6) WholeStageCodegenTransformer (1)
Input [3]: [ss_item_sk#4, ss_ext_sales_price#5, ss_sold_date_sk#6]
Arguments: false

(7) ColumnarBroadcastExchange
Input [3]: [ss_item_sk#4, ss_ext_sales_price#5, ss_sold_date_sk#6]
Arguments: HashedRelationBroadcastMode(List(cast(input[2, int, true] as bigint)),false), [plan_id=1]

(8) InputAdapter
Input [3]: [ss_item_sk#4, ss_ext_sales_price#5, ss_sold_date_sk#6]

(9) InputIteratorTransformer
Input [3]: [ss_item_sk#4, ss_ext_sales_price#5, ss_sold_date_sk#6]

(10) BroadcastHashJoinExecTransformer
Left keys [1]: [d_date_sk#1]
Right keys [1]: [ss_sold_date_sk#6]
Join type: Inner
Join condition: None

(11) ProjectExecTransformer
Output [3]: [d_year#2, ss_item_sk#4, ss_ext_sales_price#5]
Input [5]: [d_date_sk#1, d_year#2, ss_item_sk#4, ss_ext_sales_price#5, ss_sold_date_sk#6]

(12) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [4]: [i_item_sk#7, i_category_id#8, i_category#9, i_manager_id#10]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_manager_id), EqualTo(i_manager_id,1), IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_category_id:int,i_category:string,i_manager_id:int>

(13) FilterExecTransformer
Input [4]: [i_item_sk#7, i_category_id#8, i_category#9, i_manager_id#10]
Arguments: ((isnotnull(i_manager_id#10) AND (i_manager_id#10 = 1)) AND isnotnull(i_item_sk#7))

(14) ProjectExecTransformer
Output [3]: [i_item_sk#7, i_category_id#8, i_category#9]
Input [4]: [i_item_sk#7, i_category_id#8, i_category#9, i_manager_id#10]

(15) WholeStageCodegenTransformer (2)
Input [3]: [i_item_sk#7, i_category_id#8, i_category#9]
Arguments: false

(16) ColumnarBroadcastExchange
Input [3]: [i_item_sk#7, i_category_id#8, i_category#9]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]

(17) InputAdapter
Input [3]: [i_item_sk#7, i_category_id#8, i_category#9]

(18) InputIteratorTransformer
Input [3]: [i_item_sk#7, i_category_id#8, i_category#9]

(19) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_item_sk#4]
Right keys [1]: [i_item_sk#7]
Join type: Inner
Join condition: None

(20) ProjectExecTransformer
Output [4]: [d_year#2, i_category_id#8, i_category#9, UnscaledValue(ss_ext_sales_price#5) AS _pre_1#11]
Input [6]: [d_year#2, ss_item_sk#4, ss_ext_sales_price#5, i_item_sk#7, i_category_id#8, i_category#9]

(21) FlushableHashAggregateExecTransformer
Input [4]: [d_year#2, i_category_id#8, i_category#9, _pre_1#11]
Keys [3]: [d_year#2, i_category_id#8, i_category#9]
Functions [1]: [partial_sum(_pre_1#11)]
Aggregate Attributes [1]: [sum#12]
Results [4]: [d_year#2, i_category_id#8, i_category#9, sum#13]

(22) ProjectExecTransformer
Output [5]: [hash(d_year#2, i_category_id#8, i_category#9, 42) AS hash_partition_key#14, d_year#2, i_category_id#8, i_category#9, sum#13]
Input [4]: [d_year#2, i_category_id#8, i_category#9, sum#13]

(23) WholeStageCodegenTransformer (3)
Input [5]: [hash_partition_key#14, d_year#2, i_category_id#8, i_category#9, sum#13]
Arguments: false

(24) VeloxResizeBatches
Input [5]: [hash_partition_key#14, d_year#2, i_category_id#8, i_category#9, sum#13]
Arguments: 1024, 2147483647, 10485760

(25) ColumnarExchange
Input [5]: [hash_partition_key#14, d_year#2, i_category_id#8, i_category#9, sum#13]
Arguments: hashpartitioning(d_year#2, i_category_id#8, i_category#9, 1), ENSURE_REQUIREMENTS, [d_year#2, i_category_id#8, i_category#9, sum#13], [plan_id=3], [shuffle_writer_type=hash]

(26) InputAdapter
Input [4]: [d_year#2, i_category_id#8, i_category#9, sum#13]

(27) InputIteratorTransformer
Input [4]: [d_year#2, i_category_id#8, i_category#9, sum#13]

(28) RegularHashAggregateExecTransformer
Input [4]: [d_year#2, i_category_id#8, i_category#9, sum#13]
Keys [3]: [d_year#2, i_category_id#8, i_category#9]
Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#5))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#5))#15]
Results [4]: [d_year#2, i_category_id#8, i_category#9, sum(UnscaledValue(ss_ext_sales_price#5))#15]

(29) ProjectExecTransformer
Output [4]: [d_year#2, i_category_id#8, i_category#9, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#5))#15,17,2) AS sum(ss_ext_sales_price)#16]
Input [4]: [d_year#2, i_category_id#8, i_category#9, sum(UnscaledValue(ss_ext_sales_price#5))#15]

(30) WholeStageCodegenTransformer (4)
Input [4]: [d_year#2, i_category_id#8, i_category#9, sum(ss_ext_sales_price)#16]
Arguments: false

(31) TakeOrderedAndProjectExecTransformer
Input [4]: [d_year#2, i_category_id#8, i_category#9, sum(ss_ext_sales_price)#16]
Arguments: 100, [sum(ss_ext_sales_price)#16 DESC NULLS LAST, d_year#2 ASC NULLS FIRST, i_category_id#8 ASC NULLS FIRST, i_category#9 ASC NULLS FIRST], [d_year#2, i_category_id#8, i_category#9, sum(ss_ext_sales_price)#16], 0

(32) VeloxColumnarToRow
Input [4]: [d_year#2, i_category_id#8, i_category#9, sum(ss_ext_sales_price)#16]

