== Physical Plan ==
VeloxColumnarToRow (28)
+- TakeOrderedAndProjectExecTransformer (27)
   +- ^ ProjectExecTransformer (25)
      +- ^ RegularHashAggregateExecTransformer (24)
         +- ^ InputIteratorTransformer (23)
            +- ColumnarExchange (21)
               +- VeloxResizeBatches (20)
                  +- ^ ProjectExecTransformer (18)
                     +- ^ FlushableHashAggregateExecTransformer (17)
                        +- ^ ProjectExecTransformer (16)
                           +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (15)
                              :- ^ ProjectExecTransformer (11)
                              :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (10)
                              :     :- ^ FilterExecTransformer (2)
                              :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store_sales (1)
                              :     +- ^ InputIteratorTransformer (9)
                              :        +- ColumnarBroadcastExchange (7)
                              :           +- ^ ProjectExecTransformer (5)
                              :              +- ^ FilterExecTransformer (4)
                              :                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (3)
                              +- ^ InputIteratorTransformer (14)
                                 +- ReusedExchange (12)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.store_sales
Output [3]: [ss_item_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#3), dynamicpruningexpression(ss_sold_date_sk#3 IN dynamicpruning#4)]
PushedFilters: [IsNotNull(ss_item_sk)]
ReadSchema: struct<ss_item_sk:int,ss_ext_sales_price:decimal(7,2)>

(2) FilterExecTransformer
Input [3]: [ss_item_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3]
Arguments: isnotnull(ss_item_sk#1)

(3) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [4]: [i_item_sk#5, i_brand_id#6, i_brand#7, i_manager_id#8]
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_brand_id:int,i_brand:string,i_manager_id:int>

(4) FilterExecTransformer
Input [4]: [i_item_sk#5, i_brand_id#6, i_brand#7, i_manager_id#8]
Arguments: ((isnotnull(i_manager_id#8) AND (i_manager_id#8 = 1)) AND isnotnull(i_item_sk#5))

(5) ProjectExecTransformer
Output [3]: [i_item_sk#5, i_brand_id#6, i_brand#7]
Input [4]: [i_item_sk#5, i_brand_id#6, i_brand#7, i_manager_id#8]

(6) WholeStageCodegenTransformer (2)
Input [3]: [i_item_sk#5, i_brand_id#6, i_brand#7]
Arguments: false

(7) ColumnarBroadcastExchange
Input [3]: [i_item_sk#5, i_brand_id#6, i_brand#7]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=1]

(8) InputAdapter
Input [3]: [i_item_sk#5, i_brand_id#6, i_brand#7]

(9) InputIteratorTransformer
Input [3]: [i_item_sk#5, i_brand_id#6, i_brand#7]

(10) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_item_sk#1]
Right keys [1]: [i_item_sk#5]
Join type: Inner
Join condition: None

(11) ProjectExecTransformer
Output [4]: [ss_ext_sales_price#2, ss_sold_date_sk#3, i_brand_id#6, i_brand#7]
Input [6]: [ss_item_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_sk#5, i_brand_id#6, i_brand#7]

(12) ReusedExchange [Reuses operator id: 33]
Output [2]: [d_date_sk#9, d_year#10]

(13) InputAdapter
Input [2]: [d_date_sk#9, d_year#10]

(14) InputIteratorTransformer
Input [2]: [d_date_sk#9, d_year#10]

(15) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_sold_date_sk#3]
Right keys [1]: [d_date_sk#9]
Join type: Inner
Join condition: None

(16) ProjectExecTransformer
Output [4]: [d_year#10, i_brand_id#6, i_brand#7, UnscaledValue(ss_ext_sales_price#2) AS _pre_1#11]
Input [6]: [ss_ext_sales_price#2, ss_sold_date_sk#3, i_brand_id#6, i_brand#7, d_date_sk#9, d_year#10]

(17) FlushableHashAggregateExecTransformer
Input [4]: [d_year#10, i_brand_id#6, i_brand#7, _pre_1#11]
Keys [3]: [d_year#10, i_brand#7, i_brand_id#6]
Functions [1]: [partial_sum(_pre_1#11)]
Aggregate Attributes [1]: [sum#12]
Results [4]: [d_year#10, i_brand#7, i_brand_id#6, sum#13]

(18) ProjectExecTransformer
Output [5]: [hash(d_year#10, i_brand#7, i_brand_id#6, 42) AS hash_partition_key#14, d_year#10, i_brand#7, i_brand_id#6, sum#13]
Input [4]: [d_year#10, i_brand#7, i_brand_id#6, sum#13]

(19) WholeStageCodegenTransformer (4)
Input [5]: [hash_partition_key#14, d_year#10, i_brand#7, i_brand_id#6, sum#13]
Arguments: false

(20) VeloxResizeBatches
Input [5]: [hash_partition_key#14, d_year#10, i_brand#7, i_brand_id#6, sum#13]
Arguments: 1024, 2147483647, 10485760

(21) ColumnarExchange
Input [5]: [hash_partition_key#14, d_year#10, i_brand#7, i_brand_id#6, sum#13]
Arguments: hashpartitioning(d_year#10, i_brand#7, i_brand_id#6, 1), ENSURE_REQUIREMENTS, [d_year#10, i_brand#7, i_brand_id#6, sum#13], [plan_id=2], [shuffle_writer_type=hash]

(22) InputAdapter
Input [4]: [d_year#10, i_brand#7, i_brand_id#6, sum#13]

(23) InputIteratorTransformer
Input [4]: [d_year#10, i_brand#7, i_brand_id#6, sum#13]

(24) RegularHashAggregateExecTransformer
Input [4]: [d_year#10, i_brand#7, i_brand_id#6, sum#13]
Keys [3]: [d_year#10, i_brand#7, i_brand_id#6]
Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#2))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#2))#15]
Results [4]: [d_year#10, i_brand#7, i_brand_id#6, sum(UnscaledValue(ss_ext_sales_price#2))#15]

(25) ProjectExecTransformer
Output [4]: [d_year#10, i_brand_id#6 AS brand_id#16, i_brand#7 AS brand#17, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#15,17,2) AS ext_price#18]
Input [4]: [d_year#10, i_brand#7, i_brand_id#6, sum(UnscaledValue(ss_ext_sales_price#2))#15]

(26) WholeStageCodegenTransformer (5)
Input [4]: [d_year#10, brand_id#16, brand#17, ext_price#18]
Arguments: false

(27) TakeOrderedAndProjectExecTransformer
Input [4]: [d_year#10, brand_id#16, brand#17, ext_price#18]
Arguments: 100, [d_year#10 ASC NULLS FIRST, ext_price#18 DESC NULLS LAST, brand_id#16 ASC NULLS FIRST], [d_year#10, brand_id#16, brand#17, ext_price#18], 0

(28) VeloxColumnarToRow
Input [4]: [d_year#10, brand_id#16, brand#17, ext_price#18]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4
ColumnarBroadcastExchange (33)
+- ^ ProjectExecTransformer (31)
   +- ^ FilterExecTransformer (30)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (29)


(29) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#9, d_year#10, d_moy#19]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,11), EqualTo(d_year,2000), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(30) FilterExecTransformer
Input [3]: [d_date_sk#9, d_year#10, d_moy#19]
Arguments: ((((isnotnull(d_moy#19) AND isnotnull(d_year#10)) AND (d_moy#19 = 11)) AND (d_year#10 = 2000)) AND isnotnull(d_date_sk#9))

(31) ProjectExecTransformer
Output [2]: [d_date_sk#9, d_year#10]
Input [3]: [d_date_sk#9, d_year#10, d_moy#19]

(32) WholeStageCodegenTransformer (1)
Input [2]: [d_date_sk#9, d_year#10]
Arguments: false

(33) ColumnarBroadcastExchange
Input [2]: [d_date_sk#9, d_year#10]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]


