== Physical Plan ==
TakeOrderedAndProject (110)
+- * HashAggregate (109)
   +- * CometColumnarToRow (108)
      +- CometColumnarExchange (107)
         +- * HashAggregate (106)
            +- * Expand (105)
               +- Union (104)
                  :- * Project (69)
                  :  +- * Filter (68)
                  :     +- * HashAggregate (67)
                  :        +- * CometColumnarToRow (66)
                  :           +- CometColumnarExchange (65)
                  :              +- * HashAggregate (64)
                  :                 +- * Project (63)
                  :                    +- * BroadcastHashJoin Inner BuildRight (62)
                  :                       :- * Project (60)
                  :                       :  +- * BroadcastHashJoin Inner BuildRight (59)
                  :                       :     :- * BroadcastHashJoin LeftSemi BuildRight (52)
                  :                       :     :  :- * Filter (3)
                  :                       :     :  :  +- * ColumnarToRow (2)
                  :                       :     :  :     +- Scan parquet spark_catalog.default.store_sales (1)
                  :                       :     :  +- BroadcastExchange (51)
                  :                       :     :     +- * Project (50)
                  :                       :     :        +- * BroadcastHashJoin Inner BuildRight (49)
                  :                       :     :           :- * CometColumnarToRow (6)
                  :                       :     :           :  +- CometFilter (5)
                  :                       :     :           :     +- CometNativeScan parquet spark_catalog.default.item (4)
                  :                       :     :           +- BroadcastExchange (48)
                  :                       :     :              +- * BroadcastHashJoin LeftSemi BuildRight (47)
                  :                       :     :                 :- * CometColumnarToRow (36)
                  :                       :     :                 :  +- CometHashAggregate (35)
                  :                       :     :                 :     +- CometColumnarExchange (34)
                  :                       :     :                 :        +- * HashAggregate (33)
                  :                       :     :                 :           +- * Project (32)
                  :                       :     :                 :              +- * BroadcastHashJoin Inner BuildRight (31)
                  :                       :     :                 :                 :- * Project (29)
                  :                       :     :                 :                 :  +- * BroadcastHashJoin Inner BuildRight (28)
                  :                       :     :                 :                 :     :- * Filter (9)
                  :                       :     :                 :                 :     :  +- * ColumnarToRow (8)
                  :                       :     :                 :                 :     :     +- Scan parquet spark_catalog.default.store_sales (7)
                  :                       :     :                 :                 :     +- BroadcastExchange (27)
                  :                       :     :                 :                 :        +- * BroadcastHashJoin LeftSemi BuildRight (26)
                  :                       :     :                 :                 :           :- * CometColumnarToRow (12)
                  :                       :     :                 :                 :           :  +- CometFilter (11)
                  :                       :     :                 :                 :           :     +- CometNativeScan parquet spark_catalog.default.item (10)
                  :                       :     :                 :                 :           +- BroadcastExchange (25)
                  :                       :     :                 :                 :              +- * Project (24)
                  :                       :     :                 :                 :                 +- * BroadcastHashJoin Inner BuildRight (23)
                  :                       :     :                 :                 :                    :- * Project (21)
                  :                       :     :                 :                 :                    :  +- * BroadcastHashJoin Inner BuildRight (20)
                  :                       :     :                 :                 :                    :     :- * Filter (15)
                  :                       :     :                 :                 :                    :     :  +- * ColumnarToRow (14)
                  :                       :     :                 :                 :                    :     :     +- Scan parquet spark_catalog.default.catalog_sales (13)
                  :                       :     :                 :                 :                    :     +- BroadcastExchange (19)
                  :                       :     :                 :                 :                    :        +- * CometColumnarToRow (18)
                  :                       :     :                 :                 :                    :           +- CometFilter (17)
                  :                       :     :                 :                 :                    :              +- CometNativeScan parquet spark_catalog.default.item (16)
                  :                       :     :                 :                 :                    +- ReusedExchange (22)
                  :                       :     :                 :                 +- ReusedExchange (30)
                  :                       :     :                 +- BroadcastExchange (46)
                  :                       :     :                    +- * Project (45)
                  :                       :     :                       +- * BroadcastHashJoin Inner BuildRight (44)
                  :                       :     :                          :- * Project (42)
                  :                       :     :                          :  +- * BroadcastHashJoin Inner BuildRight (41)
                  :                       :     :                          :     :- * Filter (39)
                  :                       :     :                          :     :  +- * ColumnarToRow (38)
                  :                       :     :                          :     :     +- Scan parquet spark_catalog.default.web_sales (37)
                  :                       :     :                          :     +- ReusedExchange (40)
                  :                       :     :                          +- ReusedExchange (43)
                  :                       :     +- BroadcastExchange (58)
                  :                       :        +- * BroadcastHashJoin LeftSemi BuildRight (57)
                  :                       :           :- * CometColumnarToRow (55)
                  :                       :           :  +- CometFilter (54)
                  :                       :           :     +- CometNativeScan parquet spark_catalog.default.item (53)
                  :                       :           +- ReusedExchange (56)
                  :                       +- ReusedExchange (61)
                  :- * Project (86)
                  :  +- * Filter (85)
                  :     +- * HashAggregate (84)
                  :        +- * CometColumnarToRow (83)
                  :           +- CometColumnarExchange (82)
                  :              +- * HashAggregate (81)
                  :                 +- * Project (80)
                  :                    +- * BroadcastHashJoin Inner BuildRight (79)
                  :                       :- * Project (77)
                  :                       :  +- * BroadcastHashJoin Inner BuildRight (76)
                  :                       :     :- * BroadcastHashJoin LeftSemi BuildRight (74)
                  :                       :     :  :- * Filter (72)
                  :                       :     :  :  +- * ColumnarToRow (71)
                  :                       :     :  :     +- Scan parquet spark_catalog.default.catalog_sales (70)
                  :                       :     :  +- ReusedExchange (73)
                  :                       :     +- ReusedExchange (75)
                  :                       +- ReusedExchange (78)
                  +- * Project (103)
                     +- * Filter (102)
                        +- * HashAggregate (101)
                           +- * CometColumnarToRow (100)
                              +- CometColumnarExchange (99)
                                 +- * HashAggregate (98)
                                    +- * Project (97)
                                       +- * BroadcastHashJoin Inner BuildRight (96)
                                          :- * Project (94)
                                          :  +- * BroadcastHashJoin Inner BuildRight (93)
                                          :     :- * BroadcastHashJoin LeftSemi BuildRight (91)
                                          :     :  :- * Filter (89)
                                          :     :  :  +- * ColumnarToRow (88)
                                          :     :  :     +- Scan parquet spark_catalog.default.web_sales (87)
                                          :     :  +- ReusedExchange (90)
                                          :     +- ReusedExchange (92)
                                          +- ReusedExchange (95)


(1) Scan parquet spark_catalog.default.store_sales
Output [4]: [ss_item_sk#1, ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#4), dynamicpruningexpression(ss_sold_date_sk#4 IN dynamicpruning#5)]
PushedFilters: [IsNotNull(ss_item_sk)]
ReadSchema: struct<ss_item_sk:int,ss_quantity:int,ss_list_price:decimal(7,2)>

(2) ColumnarToRow [codegen id : 25]
Input [4]: [ss_item_sk#1, ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4]

(3) Filter [codegen id : 25]
Input [4]: [ss_item_sk#1, ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4]
Condition : isnotnull(ss_item_sk#1)

(4) CometNativeScan parquet spark_catalog.default.item
Output [4]: [i_item_sk#6, i_brand_id#7, i_class_id#8, i_category_id#9]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_brand_id), IsNotNull(i_class_id), IsNotNull(i_category_id)]
ReadSchema: struct<i_item_sk:int,i_brand_id:int,i_class_id:int,i_category_id:int>

(5) CometFilter
Input [4]: [i_item_sk#6, i_brand_id#7, i_class_id#8, i_category_id#9]
Condition : ((isnotnull(i_brand_id#7) AND isnotnull(i_class_id#8)) AND isnotnull(i_category_id#9))

(6) CometColumnarToRow [codegen id : 11]
Input [4]: [i_item_sk#6, i_brand_id#7, i_class_id#8, i_category_id#9]

(7) Scan parquet spark_catalog.default.store_sales
Output [2]: [ss_item_sk#10, ss_sold_date_sk#11]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#11), dynamicpruningexpression(ss_sold_date_sk#11 IN dynamicpruning#12)]
PushedFilters: [IsNotNull(ss_item_sk)]
ReadSchema: struct<ss_item_sk:int>

(8) ColumnarToRow [codegen id : 6]
Input [2]: [ss_item_sk#10, ss_sold_date_sk#11]

(9) Filter [codegen id : 6]
Input [2]: [ss_item_sk#10, ss_sold_date_sk#11]
Condition : isnotnull(ss_item_sk#10)

(10) CometNativeScan parquet spark_catalog.default.item
Output [4]: [i_item_sk#13, i_brand_id#14, i_class_id#15, i_category_id#16]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk), IsNotNull(i_brand_id), IsNotNull(i_class_id), IsNotNull(i_category_id)]
ReadSchema: struct<i_item_sk:int,i_brand_id:int,i_class_id:int,i_category_id:int>

(11) CometFilter
Input [4]: [i_item_sk#13, i_brand_id#14, i_class_id#15, i_category_id#16]
Condition : (((isnotnull(i_item_sk#13) AND isnotnull(i_brand_id#14)) AND isnotnull(i_class_id#15)) AND isnotnull(i_category_id#16))

(12) CometColumnarToRow [codegen id : 4]
Input [4]: [i_item_sk#13, i_brand_id#14, i_class_id#15, i_category_id#16]

(13) Scan parquet spark_catalog.default.catalog_sales
Output [2]: [cs_item_sk#17, cs_sold_date_sk#18]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#18), dynamicpruningexpression(cs_sold_date_sk#18 IN dynamicpruning#12)]
PushedFilters: [IsNotNull(cs_item_sk)]
ReadSchema: struct<cs_item_sk:int>

(14) ColumnarToRow [codegen id : 3]
Input [2]: [cs_item_sk#17, cs_sold_date_sk#18]

(15) Filter [codegen id : 3]
Input [2]: [cs_item_sk#17, cs_sold_date_sk#18]
Condition : isnotnull(cs_item_sk#17)

(16) CometNativeScan parquet spark_catalog.default.item
Output [4]: [i_item_sk#19, i_brand_id#20, i_class_id#21, i_category_id#22]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_brand_id:int,i_class_id:int,i_category_id:int>

(17) CometFilter
Input [4]: [i_item_sk#19, i_brand_id#20, i_class_id#21, i_category_id#22]
Condition : isnotnull(i_item_sk#19)

(18) CometColumnarToRow [codegen id : 1]
Input [4]: [i_item_sk#19, i_brand_id#20, i_class_id#21, i_category_id#22]

(19) BroadcastExchange
Input [4]: [i_item_sk#19, i_brand_id#20, i_class_id#21, i_category_id#22]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=1]

(20) BroadcastHashJoin [codegen id : 3]
Left keys [1]: [cs_item_sk#17]
Right keys [1]: [i_item_sk#19]
Join type: Inner
Join condition: None

(21) Project [codegen id : 3]
Output [4]: [cs_sold_date_sk#18, i_brand_id#20, i_class_id#21, i_category_id#22]
Input [6]: [cs_item_sk#17, cs_sold_date_sk#18, i_item_sk#19, i_brand_id#20, i_class_id#21, i_category_id#22]

(22) ReusedExchange [Reuses operator id: 140]
Output [1]: [d_date_sk#23]

(23) BroadcastHashJoin [codegen id : 3]
Left keys [1]: [cs_sold_date_sk#18]
Right keys [1]: [d_date_sk#23]
Join type: Inner
Join condition: None

(24) Project [codegen id : 3]
Output [3]: [i_brand_id#20, i_class_id#21, i_category_id#22]
Input [5]: [cs_sold_date_sk#18, i_brand_id#20, i_class_id#21, i_category_id#22, d_date_sk#23]

(25) BroadcastExchange
Input [3]: [i_brand_id#20, i_class_id#21, i_category_id#22]
Arguments: HashedRelationBroadcastMode(List(coalesce(input[0, int, true], 0), isnull(input[0, int, true]), coalesce(input[1, int, true], 0), isnull(input[1, int, true]), coalesce(input[2, int, true], 0), isnull(input[2, int, true])),false), [plan_id=2]

(26) BroadcastHashJoin [codegen id : 4]
Left keys [6]: [coalesce(i_brand_id#14, 0), isnull(i_brand_id#14), coalesce(i_class_id#15, 0), isnull(i_class_id#15), coalesce(i_category_id#16, 0), isnull(i_category_id#16)]
Right keys [6]: [coalesce(i_brand_id#20, 0), isnull(i_brand_id#20), coalesce(i_class_id#21, 0), isnull(i_class_id#21), coalesce(i_category_id#22, 0), isnull(i_category_id#22)]
Join type: LeftSemi
Join condition: None

(27) BroadcastExchange
Input [4]: [i_item_sk#13, i_brand_id#14, i_class_id#15, i_category_id#16]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3]

(28) BroadcastHashJoin [codegen id : 6]
Left keys [1]: [ss_item_sk#10]
Right keys [1]: [i_item_sk#13]
Join type: Inner
Join condition: None

(29) Project [codegen id : 6]
Output [4]: [ss_sold_date_sk#11, i_brand_id#14, i_class_id#15, i_category_id#16]
Input [6]: [ss_item_sk#10, ss_sold_date_sk#11, i_item_sk#13, i_brand_id#14, i_class_id#15, i_category_id#16]

(30) ReusedExchange [Reuses operator id: 140]
Output [1]: [d_date_sk#24]

(31) BroadcastHashJoin [codegen id : 6]
Left keys [1]: [ss_sold_date_sk#11]
Right keys [1]: [d_date_sk#24]
Join type: Inner
Join condition: None

(32) Project [codegen id : 6]
Output [3]: [i_brand_id#14 AS brand_id#25, i_class_id#15 AS class_id#26, i_category_id#16 AS category_id#27]
Input [5]: [ss_sold_date_sk#11, i_brand_id#14, i_class_id#15, i_category_id#16, d_date_sk#24]

(33) HashAggregate [codegen id : 6]
Input [3]: [brand_id#25, class_id#26, category_id#27]
Keys [3]: [brand_id#25, class_id#26, category_id#27]
Functions: []
Aggregate Attributes: []
Results [3]: [brand_id#25, class_id#26, category_id#27]

(34) CometColumnarExchange
Input [3]: [brand_id#25, class_id#26, category_id#27]
Arguments: hashpartitioning(brand_id#25, class_id#26, category_id#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4]

(35) CometHashAggregate
Input [3]: [brand_id#25, class_id#26, category_id#27]
Keys [3]: [brand_id#25, class_id#26, category_id#27]
Functions: []

(36) CometColumnarToRow [codegen id : 10]
Input [3]: [brand_id#25, class_id#26, category_id#27]

(37) Scan parquet spark_catalog.default.web_sales
Output [2]: [ws_item_sk#28, ws_sold_date_sk#29]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#29), dynamicpruningexpression(ws_sold_date_sk#29 IN dynamicpruning#12)]
PushedFilters: [IsNotNull(ws_item_sk)]
ReadSchema: struct<ws_item_sk:int>

(38) ColumnarToRow [codegen id : 9]
Input [2]: [ws_item_sk#28, ws_sold_date_sk#29]

(39) Filter [codegen id : 9]
Input [2]: [ws_item_sk#28, ws_sold_date_sk#29]
Condition : isnotnull(ws_item_sk#28)

(40) ReusedExchange [Reuses operator id: 19]
Output [4]: [i_item_sk#30, i_brand_id#31, i_class_id#32, i_category_id#33]

(41) BroadcastHashJoin [codegen id : 9]
Left keys [1]: [ws_item_sk#28]
Right keys [1]: [i_item_sk#30]
Join type: Inner
Join condition: None

(42) Project [codegen id : 9]
Output [4]: [ws_sold_date_sk#29, i_brand_id#31, i_class_id#32, i_category_id#33]
Input [6]: [ws_item_sk#28, ws_sold_date_sk#29, i_item_sk#30, i_brand_id#31, i_class_id#32, i_category_id#33]

(43) ReusedExchange [Reuses operator id: 140]
Output [1]: [d_date_sk#34]

(44) BroadcastHashJoin [codegen id : 9]
Left keys [1]: [ws_sold_date_sk#29]
Right keys [1]: [d_date_sk#34]
Join type: Inner
Join condition: None

(45) Project [codegen id : 9]
Output [3]: [i_brand_id#31, i_class_id#32, i_category_id#33]
Input [5]: [ws_sold_date_sk#29, i_brand_id#31, i_class_id#32, i_category_id#33, d_date_sk#34]

(46) BroadcastExchange
Input [3]: [i_brand_id#31, i_class_id#32, i_category_id#33]
Arguments: HashedRelationBroadcastMode(List(coalesce(input[0, int, true], 0), isnull(input[0, int, true]), coalesce(input[1, int, true], 0), isnull(input[1, int, true]), coalesce(input[2, int, true], 0), isnull(input[2, int, true])),false), [plan_id=5]

(47) BroadcastHashJoin [codegen id : 10]
Left keys [6]: [coalesce(brand_id#25, 0), isnull(brand_id#25), coalesce(class_id#26, 0), isnull(class_id#26), coalesce(category_id#27, 0), isnull(category_id#27)]
Right keys [6]: [coalesce(i_brand_id#31, 0), isnull(i_brand_id#31), coalesce(i_class_id#32, 0), isnull(i_class_id#32), coalesce(i_category_id#33, 0), isnull(i_category_id#33)]
Join type: LeftSemi
Join condition: None

(48) BroadcastExchange
Input [3]: [brand_id#25, class_id#26, category_id#27]
Arguments: HashedRelationBroadcastMode(List(input[0, int, true], input[1, int, true], input[2, int, true]),false), [plan_id=6]

(49) BroadcastHashJoin [codegen id : 11]
Left keys [3]: [i_brand_id#7, i_class_id#8, i_category_id#9]
Right keys [3]: [brand_id#25, class_id#26, category_id#27]
Join type: Inner
Join condition: None

(50) Project [codegen id : 11]
Output [1]: [i_item_sk#6 AS ss_item_sk#35]
Input [7]: [i_item_sk#6, i_brand_id#7, i_class_id#8, i_category_id#9, brand_id#25, class_id#26, category_id#27]

(51) BroadcastExchange
Input [1]: [ss_item_sk#35]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7]

(52) BroadcastHashJoin [codegen id : 25]
Left keys [1]: [ss_item_sk#1]
Right keys [1]: [ss_item_sk#35]
Join type: LeftSemi
Join condition: None

(53) CometNativeScan parquet spark_catalog.default.item
Output [4]: [i_item_sk#36, i_brand_id#37, i_class_id#38, i_category_id#39]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_brand_id:int,i_class_id:int,i_category_id:int>

(54) CometFilter
Input [4]: [i_item_sk#36, i_brand_id#37, i_class_id#38, i_category_id#39]
Condition : isnotnull(i_item_sk#36)

(55) CometColumnarToRow [codegen id : 23]
Input [4]: [i_item_sk#36, i_brand_id#37, i_class_id#38, i_category_id#39]

(56) ReusedExchange [Reuses operator id: 51]
Output [1]: [ss_item_sk#35]

(57) BroadcastHashJoin [codegen id : 23]
Left keys [1]: [i_item_sk#36]
Right keys [1]: [ss_item_sk#35]
Join type: LeftSemi
Join condition: None

(58) BroadcastExchange
Input [4]: [i_item_sk#36, i_brand_id#37, i_class_id#38, i_category_id#39]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8]

(59) BroadcastHashJoin [codegen id : 25]
Left keys [1]: [ss_item_sk#1]
Right keys [1]: [i_item_sk#36]
Join type: Inner
Join condition: None

(60) Project [codegen id : 25]
Output [6]: [ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_brand_id#37, i_class_id#38, i_category_id#39]
Input [8]: [ss_item_sk#1, ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_item_sk#36, i_brand_id#37, i_class_id#38, i_category_id#39]

(61) ReusedExchange [Reuses operator id: 135]
Output [1]: [d_date_sk#40]

(62) BroadcastHashJoin [codegen id : 25]
Left keys [1]: [ss_sold_date_sk#4]
Right keys [1]: [d_date_sk#40]
Join type: Inner
Join condition: None

(63) Project [codegen id : 25]
Output [5]: [ss_quantity#2, ss_list_price#3, i_brand_id#37, i_class_id#38, i_category_id#39]
Input [7]: [ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_brand_id#37, i_class_id#38, i_category_id#39, d_date_sk#40]

(64) HashAggregate [codegen id : 25]
Input [5]: [ss_quantity#2, ss_list_price#3, i_brand_id#37, i_class_id#38, i_category_id#39]
Keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39]
Functions [2]: [partial_sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3)), partial_count(1)]
Aggregate Attributes [3]: [sum#41, isEmpty#42, count#43]
Results [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46]

(65) CometColumnarExchange
Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46]
Arguments: hashpartitioning(i_brand_id#37, i_class_id#38, i_category_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9]

(66) CometColumnarToRow [codegen id : 26]
Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46]

(67) HashAggregate [codegen id : 26]
Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46]
Keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39]
Functions [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3)), count(1)]
Aggregate Attributes [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47, count(1)#48]
Results [5]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47 AS sales#49, count(1)#48 AS number_sales#50]

(68) Filter [codegen id : 26]
Input [5]: [i_brand_id#37, i_class_id#38, i_category_id#39, sales#49, number_sales#50]
Condition : (isnotnull(sales#49) AND (cast(sales#49 as decimal(32,6)) > cast(Subquery scalar-subquery#51, [id=#52] as decimal(32,6))))

(69) Project [codegen id : 26]
Output [6]: [sales#49, number_sales#50, store AS channel#53, i_brand_id#37 AS i_brand_id#54, i_class_id#38 AS i_class_id#55, i_category_id#39 AS i_category_id#56]
Input [5]: [i_brand_id#37, i_class_id#38, i_category_id#39, sales#49, number_sales#50]

(70) Scan parquet spark_catalog.default.catalog_sales
Output [4]: [cs_item_sk#57, cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#60), dynamicpruningexpression(cs_sold_date_sk#60 IN dynamicpruning#5)]
PushedFilters: [IsNotNull(cs_item_sk)]
ReadSchema: struct<cs_item_sk:int,cs_quantity:int,cs_list_price:decimal(7,2)>

(71) ColumnarToRow [codegen id : 51]
Input [4]: [cs_item_sk#57, cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60]

(72) Filter [codegen id : 51]
Input [4]: [cs_item_sk#57, cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60]
Condition : isnotnull(cs_item_sk#57)

(73) ReusedExchange [Reuses operator id: 51]
Output [1]: [ss_item_sk#35]

(74) BroadcastHashJoin [codegen id : 51]
Left keys [1]: [cs_item_sk#57]
Right keys [1]: [ss_item_sk#35]
Join type: LeftSemi
Join condition: None

(75) ReusedExchange [Reuses operator id: 58]
Output [4]: [i_item_sk#61, i_brand_id#62, i_class_id#63, i_category_id#64]

(76) BroadcastHashJoin [codegen id : 51]
Left keys [1]: [cs_item_sk#57]
Right keys [1]: [i_item_sk#61]
Join type: Inner
Join condition: None

(77) Project [codegen id : 51]
Output [6]: [cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60, i_brand_id#62, i_class_id#63, i_category_id#64]
Input [8]: [cs_item_sk#57, cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60, i_item_sk#61, i_brand_id#62, i_class_id#63, i_category_id#64]

(78) ReusedExchange [Reuses operator id: 135]
Output [1]: [d_date_sk#65]

(79) BroadcastHashJoin [codegen id : 51]
Left keys [1]: [cs_sold_date_sk#60]
Right keys [1]: [d_date_sk#65]
Join type: Inner
Join condition: None

(80) Project [codegen id : 51]
Output [5]: [cs_quantity#58, cs_list_price#59, i_brand_id#62, i_class_id#63, i_category_id#64]
Input [7]: [cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60, i_brand_id#62, i_class_id#63, i_category_id#64, d_date_sk#65]

(81) HashAggregate [codegen id : 51]
Input [5]: [cs_quantity#58, cs_list_price#59, i_brand_id#62, i_class_id#63, i_category_id#64]
Keys [3]: [i_brand_id#62, i_class_id#63, i_category_id#64]
Functions [2]: [partial_sum((cast(cs_quantity#58 as decimal(10,0)) * cs_list_price#59)), partial_count(1)]
Aggregate Attributes [3]: [sum#66, isEmpty#67, count#68]
Results [6]: [i_brand_id#62, i_class_id#63, i_category_id#64, sum#69, isEmpty#70, count#71]

(82) CometColumnarExchange
Input [6]: [i_brand_id#62, i_class_id#63, i_category_id#64, sum#69, isEmpty#70, count#71]
Arguments: hashpartitioning(i_brand_id#62, i_class_id#63, i_category_id#64, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10]

(83) CometColumnarToRow [codegen id : 52]
Input [6]: [i_brand_id#62, i_class_id#63, i_category_id#64, sum#69, isEmpty#70, count#71]

(84) HashAggregate [codegen id : 52]
Input [6]: [i_brand_id#62, i_class_id#63, i_category_id#64, sum#69, isEmpty#70, count#71]
Keys [3]: [i_brand_id#62, i_class_id#63, i_category_id#64]
Functions [2]: [sum((cast(cs_quantity#58 as decimal(10,0)) * cs_list_price#59)), count(1)]
Aggregate Attributes [2]: [sum((cast(cs_quantity#58 as decimal(10,0)) * cs_list_price#59))#72, count(1)#73]
Results [5]: [i_brand_id#62, i_class_id#63, i_category_id#64, sum((cast(cs_quantity#58 as decimal(10,0)) * cs_list_price#59))#72 AS sales#74, count(1)#73 AS number_sales#75]

(85) Filter [codegen id : 52]
Input [5]: [i_brand_id#62, i_class_id#63, i_category_id#64, sales#74, number_sales#75]
Condition : (isnotnull(sales#74) AND (cast(sales#74 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#51, [id=#52] as decimal(32,6))))

(86) Project [codegen id : 52]
Output [6]: [sales#74, number_sales#75, catalog AS channel#76, i_brand_id#62, i_class_id#63, i_category_id#64]
Input [5]: [i_brand_id#62, i_class_id#63, i_category_id#64, sales#74, number_sales#75]

(87) Scan parquet spark_catalog.default.web_sales
Output [4]: [ws_item_sk#77, ws_quantity#78, ws_list_price#79, ws_sold_date_sk#80]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#80), dynamicpruningexpression(ws_sold_date_sk#80 IN dynamicpruning#5)]
PushedFilters: [IsNotNull(ws_item_sk)]
ReadSchema: struct<ws_item_sk:int,ws_quantity:int,ws_list_price:decimal(7,2)>

(88) ColumnarToRow [codegen id : 77]
Input [4]: [ws_item_sk#77, ws_quantity#78, ws_list_price#79, ws_sold_date_sk#80]

(89) Filter [codegen id : 77]
Input [4]: [ws_item_sk#77, ws_quantity#78, ws_list_price#79, ws_sold_date_sk#80]
Condition : isnotnull(ws_item_sk#77)

(90) ReusedExchange [Reuses operator id: 51]
Output [1]: [ss_item_sk#35]

(91) BroadcastHashJoin [codegen id : 77]
Left keys [1]: [ws_item_sk#77]
Right keys [1]: [ss_item_sk#35]
Join type: LeftSemi
Join condition: None

(92) ReusedExchange [Reuses operator id: 58]
Output [4]: [i_item_sk#81, i_brand_id#82, i_class_id#83, i_category_id#84]

(93) BroadcastHashJoin [codegen id : 77]
Left keys [1]: [ws_item_sk#77]
Right keys [1]: [i_item_sk#81]
Join type: Inner
Join condition: None

(94) Project [codegen id : 77]
Output [6]: [ws_quantity#78, ws_list_price#79, ws_sold_date_sk#80, i_brand_id#82, i_class_id#83, i_category_id#84]
Input [8]: [ws_item_sk#77, ws_quantity#78, ws_list_price#79, ws_sold_date_sk#80, i_item_sk#81, i_brand_id#82, i_class_id#83, i_category_id#84]

(95) ReusedExchange [Reuses operator id: 135]
Output [1]: [d_date_sk#85]

(96) BroadcastHashJoin [codegen id : 77]
Left keys [1]: [ws_sold_date_sk#80]
Right keys [1]: [d_date_sk#85]
Join type: Inner
Join condition: None

(97) Project [codegen id : 77]
Output [5]: [ws_quantity#78, ws_list_price#79, i_brand_id#82, i_class_id#83, i_category_id#84]
Input [7]: [ws_quantity#78, ws_list_price#79, ws_sold_date_sk#80, i_brand_id#82, i_class_id#83, i_category_id#84, d_date_sk#85]

(98) HashAggregate [codegen id : 77]
Input [5]: [ws_quantity#78, ws_list_price#79, i_brand_id#82, i_class_id#83, i_category_id#84]
Keys [3]: [i_brand_id#82, i_class_id#83, i_category_id#84]
Functions [2]: [partial_sum((cast(ws_quantity#78 as decimal(10,0)) * ws_list_price#79)), partial_count(1)]
Aggregate Attributes [3]: [sum#86, isEmpty#87, count#88]
Results [6]: [i_brand_id#82, i_class_id#83, i_category_id#84, sum#89, isEmpty#90, count#91]

(99) CometColumnarExchange
Input [6]: [i_brand_id#82, i_class_id#83, i_category_id#84, sum#89, isEmpty#90, count#91]
Arguments: hashpartitioning(i_brand_id#82, i_class_id#83, i_category_id#84, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11]

(100) CometColumnarToRow [codegen id : 78]
Input [6]: [i_brand_id#82, i_class_id#83, i_category_id#84, sum#89, isEmpty#90, count#91]

(101) HashAggregate [codegen id : 78]
Input [6]: [i_brand_id#82, i_class_id#83, i_category_id#84, sum#89, isEmpty#90, count#91]
Keys [3]: [i_brand_id#82, i_class_id#83, i_category_id#84]
Functions [2]: [sum((cast(ws_quantity#78 as decimal(10,0)) * ws_list_price#79)), count(1)]
Aggregate Attributes [2]: [sum((cast(ws_quantity#78 as decimal(10,0)) * ws_list_price#79))#92, count(1)#93]
Results [5]: [i_brand_id#82, i_class_id#83, i_category_id#84, sum((cast(ws_quantity#78 as decimal(10,0)) * ws_list_price#79))#92 AS sales#94, count(1)#93 AS number_sales#95]

(102) Filter [codegen id : 78]
Input [5]: [i_brand_id#82, i_class_id#83, i_category_id#84, sales#94, number_sales#95]
Condition : (isnotnull(sales#94) AND (cast(sales#94 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#51, [id=#52] as decimal(32,6))))

(103) Project [codegen id : 78]
Output [6]: [sales#94, number_sales#95, web AS channel#96, i_brand_id#82, i_class_id#83, i_category_id#84]
Input [5]: [i_brand_id#82, i_class_id#83, i_category_id#84, sales#94, number_sales#95]

(104) Union

(105) Expand [codegen id : 79]
Input [6]: [sales#49, number_sales#50, channel#53, i_brand_id#54, i_class_id#55, i_category_id#56]
Arguments: [[sales#49, number_sales#50, channel#53, i_brand_id#54, i_class_id#55, i_category_id#56, 0], [sales#49, number_sales#50, channel#53, i_brand_id#54, i_class_id#55, null, 1], [sales#49, number_sales#50, channel#53, i_brand_id#54, null, null, 3], [sales#49, number_sales#50, channel#53, null, null, null, 7], [sales#49, number_sales#50, null, null, null, null, 15]], [sales#49, number_sales#50, channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, spark_grouping_id#101]

(106) HashAggregate [codegen id : 79]
Input [7]: [sales#49, number_sales#50, channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, spark_grouping_id#101]
Keys [5]: [channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, spark_grouping_id#101]
Functions [2]: [partial_sum(sales#49), partial_sum(number_sales#50)]
Aggregate Attributes [3]: [sum#102, isEmpty#103, sum#104]
Results [8]: [channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, spark_grouping_id#101, sum#105, isEmpty#106, sum#107]

(107) CometColumnarExchange
Input [8]: [channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, spark_grouping_id#101, sum#105, isEmpty#106, sum#107]
Arguments: hashpartitioning(channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, spark_grouping_id#101, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12]

(108) CometColumnarToRow [codegen id : 80]
Input [8]: [channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, spark_grouping_id#101, sum#105, isEmpty#106, sum#107]

(109) HashAggregate [codegen id : 80]
Input [8]: [channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, spark_grouping_id#101, sum#105, isEmpty#106, sum#107]
Keys [5]: [channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, spark_grouping_id#101]
Functions [2]: [sum(sales#49), sum(number_sales#50)]
Aggregate Attributes [2]: [sum(sales#49)#108, sum(number_sales#50)#109]
Results [6]: [channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, sum(sales#49)#108 AS sum(sales)#110, sum(number_sales#50)#109 AS sum(number_sales)#111]

(110) TakeOrderedAndProject
Input [6]: [channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, sum(sales)#110, sum(number_sales)#111]
Arguments: 100, [channel#97 ASC NULLS FIRST, i_brand_id#98 ASC NULLS FIRST, i_class_id#99 ASC NULLS FIRST, i_category_id#100 ASC NULLS FIRST], [channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, sum(sales)#110, sum(number_sales)#111]

===== Subqueries =====

Subquery:1 Hosting operator id = 68 Hosting Expression = Subquery scalar-subquery#51, [id=#52]
* HashAggregate (130)
+- * CometColumnarToRow (129)
   +- CometColumnarExchange (128)
      +- * HashAggregate (127)
         +- Union (126)
            :- * Project (115)
            :  +- * BroadcastHashJoin Inner BuildRight (114)
            :     :- * ColumnarToRow (112)
            :     :  +- Scan parquet spark_catalog.default.store_sales (111)
            :     +- ReusedExchange (113)
            :- * Project (120)
            :  +- * BroadcastHashJoin Inner BuildRight (119)
            :     :- * ColumnarToRow (117)
            :     :  +- Scan parquet spark_catalog.default.catalog_sales (116)
            :     +- ReusedExchange (118)
            +- * Project (125)
               +- * BroadcastHashJoin Inner BuildRight (124)
                  :- * ColumnarToRow (122)
                  :  +- Scan parquet spark_catalog.default.web_sales (121)
                  +- ReusedExchange (123)


(111) Scan parquet spark_catalog.default.store_sales
Output [3]: [ss_quantity#112, ss_list_price#113, ss_sold_date_sk#114]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#114), dynamicpruningexpression(ss_sold_date_sk#114 IN dynamicpruning#12)]
ReadSchema: struct<ss_quantity:int,ss_list_price:decimal(7,2)>

(112) ColumnarToRow [codegen id : 2]
Input [3]: [ss_quantity#112, ss_list_price#113, ss_sold_date_sk#114]

(113) ReusedExchange [Reuses operator id: 140]
Output [1]: [d_date_sk#115]

(114) BroadcastHashJoin [codegen id : 2]
Left keys [1]: [ss_sold_date_sk#114]
Right keys [1]: [d_date_sk#115]
Join type: Inner
Join condition: None

(115) Project [codegen id : 2]
Output [2]: [ss_quantity#112 AS quantity#116, ss_list_price#113 AS list_price#117]
Input [4]: [ss_quantity#112, ss_list_price#113, ss_sold_date_sk#114, d_date_sk#115]

(116) Scan parquet spark_catalog.default.catalog_sales
Output [3]: [cs_quantity#118, cs_list_price#119, cs_sold_date_sk#120]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#120), dynamicpruningexpression(cs_sold_date_sk#120 IN dynamicpruning#12)]
ReadSchema: struct<cs_quantity:int,cs_list_price:decimal(7,2)>

(117) ColumnarToRow [codegen id : 4]
Input [3]: [cs_quantity#118, cs_list_price#119, cs_sold_date_sk#120]

(118) ReusedExchange [Reuses operator id: 140]
Output [1]: [d_date_sk#121]

(119) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [cs_sold_date_sk#120]
Right keys [1]: [d_date_sk#121]
Join type: Inner
Join condition: None

(120) Project [codegen id : 4]
Output [2]: [cs_quantity#118 AS quantity#122, cs_list_price#119 AS list_price#123]
Input [4]: [cs_quantity#118, cs_list_price#119, cs_sold_date_sk#120, d_date_sk#121]

(121) Scan parquet spark_catalog.default.web_sales
Output [3]: [ws_quantity#124, ws_list_price#125, ws_sold_date_sk#126]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#126), dynamicpruningexpression(ws_sold_date_sk#126 IN dynamicpruning#12)]
ReadSchema: struct<ws_quantity:int,ws_list_price:decimal(7,2)>

(122) ColumnarToRow [codegen id : 6]
Input [3]: [ws_quantity#124, ws_list_price#125, ws_sold_date_sk#126]

(123) ReusedExchange [Reuses operator id: 140]
Output [1]: [d_date_sk#127]

(124) BroadcastHashJoin [codegen id : 6]
Left keys [1]: [ws_sold_date_sk#126]
Right keys [1]: [d_date_sk#127]
Join type: Inner
Join condition: None

(125) Project [codegen id : 6]
Output [2]: [ws_quantity#124 AS quantity#128, ws_list_price#125 AS list_price#129]
Input [4]: [ws_quantity#124, ws_list_price#125, ws_sold_date_sk#126, d_date_sk#127]

(126) Union

(127) HashAggregate [codegen id : 7]
Input [2]: [quantity#116, list_price#117]
Keys: []
Functions [1]: [partial_avg((cast(quantity#116 as decimal(10,0)) * list_price#117))]
Aggregate Attributes [2]: [sum#130, count#131]
Results [2]: [sum#132, count#133]

(128) CometColumnarExchange
Input [2]: [sum#132, count#133]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13]

(129) CometColumnarToRow [codegen id : 8]
Input [2]: [sum#132, count#133]

(130) HashAggregate [codegen id : 8]
Input [2]: [sum#132, count#133]
Keys: []
Functions [1]: [avg((cast(quantity#116 as decimal(10,0)) * list_price#117))]
Aggregate Attributes [1]: [avg((cast(quantity#116 as decimal(10,0)) * list_price#117))#134]
Results [1]: [avg((cast(quantity#116 as decimal(10,0)) * list_price#117))#134 AS average_sales#135]

Subquery:2 Hosting operator id = 111 Hosting Expression = ss_sold_date_sk#114 IN dynamicpruning#12

Subquery:3 Hosting operator id = 116 Hosting Expression = cs_sold_date_sk#120 IN dynamicpruning#12

Subquery:4 Hosting operator id = 121 Hosting Expression = ws_sold_date_sk#126 IN dynamicpruning#12

Subquery:5 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5
BroadcastExchange (135)
+- * CometColumnarToRow (134)
   +- CometProject (133)
      +- CometFilter (132)
         +- CometNativeScan parquet spark_catalog.default.date_dim (131)


(131) CometNativeScan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#40, d_year#136, d_moy#137]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,11), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(132) CometFilter
Input [3]: [d_date_sk#40, d_year#136, d_moy#137]
Condition : ((((isnotnull(d_year#136) AND isnotnull(d_moy#137)) AND (d_year#136 = 2001)) AND (d_moy#137 = 11)) AND isnotnull(d_date_sk#40))

(133) CometProject
Input [3]: [d_date_sk#40, d_year#136, d_moy#137]
Arguments: [d_date_sk#40], [d_date_sk#40]

(134) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#40]

(135) BroadcastExchange
Input [1]: [d_date_sk#40]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14]

Subquery:6 Hosting operator id = 7 Hosting Expression = ss_sold_date_sk#11 IN dynamicpruning#12
BroadcastExchange (140)
+- * CometColumnarToRow (139)
   +- CometProject (138)
      +- CometFilter (137)
         +- CometNativeScan parquet spark_catalog.default.date_dim (136)


(136) CometNativeScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#24, d_year#138]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), GreaterThanOrEqual(d_year,1999), LessThanOrEqual(d_year,2001), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(137) CometFilter
Input [2]: [d_date_sk#24, d_year#138]
Condition : (((isnotnull(d_year#138) AND (d_year#138 >= 1999)) AND (d_year#138 <= 2001)) AND isnotnull(d_date_sk#24))

(138) CometProject
Input [2]: [d_date_sk#24, d_year#138]
Arguments: [d_date_sk#24], [d_date_sk#24]

(139) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#24]

(140) BroadcastExchange
Input [1]: [d_date_sk#24]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=15]

Subquery:7 Hosting operator id = 13 Hosting Expression = cs_sold_date_sk#18 IN dynamicpruning#12

Subquery:8 Hosting operator id = 37 Hosting Expression = ws_sold_date_sk#29 IN dynamicpruning#12

Subquery:9 Hosting operator id = 85 Hosting Expression = ReusedSubquery Subquery scalar-subquery#51, [id=#52]

Subquery:10 Hosting operator id = 70 Hosting Expression = cs_sold_date_sk#60 IN dynamicpruning#5

Subquery:11 Hosting operator id = 102 Hosting Expression = ReusedSubquery Subquery scalar-subquery#51, [id=#52]

Subquery:12 Hosting operator id = 87 Hosting Expression = ws_sold_date_sk#80 IN dynamicpruning#5


