== Physical Plan ==
TakeOrderedAndProject (159)
+- * HashAggregate (158)
   +- Exchange (157)
      +- * HashAggregate (156)
         +- Union (155)
            :- * HashAggregate (98)
            :  +- Union (97)
            :     :- * Filter (66)
            :     :  +- * HashAggregate (65)
            :     :     +- Exchange (64)
            :     :        +- * HashAggregate (63)
            :     :           +- * Project (62)
            :     :              +- * BroadcastHashJoin Inner BuildRight (61)
            :     :                 :- * Project (59)
            :     :                 :  +- * BroadcastHashJoin Inner BuildRight (58)
            :     :                 :     :- * BroadcastHashJoin LeftSemi BuildRight (51)
            :     :                 :     :  :- * Filter (3)
            :     :                 :     :  :  +- * ColumnarToRow (2)
            :     :                 :     :  :     +- Scan parquet spark_catalog.default.store_sales (1)
            :     :                 :     :  +- BroadcastExchange (50)
            :     :                 :     :     +- * Project (49)
            :     :                 :     :        +- * BroadcastHashJoin Inner BuildRight (48)
            :     :                 :     :           :- * Filter (6)
            :     :                 :     :           :  +- * ColumnarToRow (5)
            :     :                 :     :           :     +- Scan parquet spark_catalog.default.item (4)
            :     :                 :     :           +- BroadcastExchange (47)
            :     :                 :     :              +- * BroadcastHashJoin LeftSemi BuildRight (46)
            :     :                 :     :                 :- * HashAggregate (35)
            :     :                 :     :                 :  +- Exchange (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)
            :     :                 :     :                 :              :           :- * Filter (12)
            :     :                 :     :                 :              :           :  +- * ColumnarToRow (11)
            :     :                 :     :                 :              :           :     +- Scan 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)
            :     :                 :     :                 :              :                    :        +- * Filter (18)
            :     :                 :     :                 :              :                    :           +- * ColumnarToRow (17)
            :     :                 :     :                 :              :                    :              +- Scan parquet spark_catalog.default.item (16)
            :     :                 :     :                 :              :                    +- ReusedExchange (22)
            :     :                 :     :                 :              +- ReusedExchange (30)
            :     :                 :     :                 +- BroadcastExchange (45)
            :     :                 :     :                    +- * Project (44)
            :     :                 :     :                       +- * BroadcastHashJoin Inner BuildRight (43)
            :     :                 :     :                          :- * Project (41)
            :     :                 :     :                          :  +- * BroadcastHashJoin Inner BuildRight (40)
            :     :                 :     :                          :     :- * Filter (38)
            :     :                 :     :                          :     :  +- * ColumnarToRow (37)
            :     :                 :     :                          :     :     +- Scan parquet spark_catalog.default.web_sales (36)
            :     :                 :     :                          :     +- ReusedExchange (39)
            :     :                 :     :                          +- ReusedExchange (42)
            :     :                 :     +- BroadcastExchange (57)
            :     :                 :        +- * BroadcastHashJoin LeftSemi BuildRight (56)
            :     :                 :           :- * Filter (54)
            :     :                 :           :  +- * ColumnarToRow (53)
            :     :                 :           :     +- Scan parquet spark_catalog.default.item (52)
            :     :                 :           +- ReusedExchange (55)
            :     :                 +- ReusedExchange (60)
            :     :- * Filter (81)
            :     :  +- * HashAggregate (80)
            :     :     +- Exchange (79)
            :     :        +- * HashAggregate (78)
            :     :           +- * Project (77)
            :     :              +- * BroadcastHashJoin Inner BuildRight (76)
            :     :                 :- * Project (74)
            :     :                 :  +- * BroadcastHashJoin Inner BuildRight (73)
            :     :                 :     :- * BroadcastHashJoin LeftSemi BuildRight (71)
            :     :                 :     :  :- * Filter (69)
            :     :                 :     :  :  +- * ColumnarToRow (68)
            :     :                 :     :  :     +- Scan parquet spark_catalog.default.catalog_sales (67)
            :     :                 :     :  +- ReusedExchange (70)
            :     :                 :     +- ReusedExchange (72)
            :     :                 +- ReusedExchange (75)
            :     +- * Filter (96)
            :        +- * HashAggregate (95)
            :           +- Exchange (94)
            :              +- * HashAggregate (93)
            :                 +- * Project (92)
            :                    +- * BroadcastHashJoin Inner BuildRight (91)
            :                       :- * Project (89)
            :                       :  +- * BroadcastHashJoin Inner BuildRight (88)
            :                       :     :- * BroadcastHashJoin LeftSemi BuildRight (86)
            :                       :     :  :- * Filter (84)
            :                       :     :  :  +- * ColumnarToRow (83)
            :                       :     :  :     +- Scan parquet spark_catalog.default.web_sales (82)
            :                       :     :  +- ReusedExchange (85)
            :                       :     +- ReusedExchange (87)
            :                       +- ReusedExchange (90)
            :- * HashAggregate (112)
            :  +- Exchange (111)
            :     +- * HashAggregate (110)
            :        +- * HashAggregate (109)
            :           +- Union (108)
            :              :- * Filter (101)
            :              :  +- * HashAggregate (100)
            :              :     +- ReusedExchange (99)
            :              :- * Filter (104)
            :              :  +- * HashAggregate (103)
            :              :     +- ReusedExchange (102)
            :              +- * Filter (107)
            :                 +- * HashAggregate (106)
            :                    +- ReusedExchange (105)
            :- * HashAggregate (126)
            :  +- Exchange (125)
            :     +- * HashAggregate (124)
            :        +- * HashAggregate (123)
            :           +- Union (122)
            :              :- * Filter (115)
            :              :  +- * HashAggregate (114)
            :              :     +- ReusedExchange (113)
            :              :- * Filter (118)
            :              :  +- * HashAggregate (117)
            :              :     +- ReusedExchange (116)
            :              +- * Filter (121)
            :                 +- * HashAggregate (120)
            :                    +- ReusedExchange (119)
            :- * HashAggregate (140)
            :  +- Exchange (139)
            :     +- * HashAggregate (138)
            :        +- * HashAggregate (137)
            :           +- Union (136)
            :              :- * Filter (129)
            :              :  +- * HashAggregate (128)
            :              :     +- ReusedExchange (127)
            :              :- * Filter (132)
            :              :  +- * HashAggregate (131)
            :              :     +- ReusedExchange (130)
            :              +- * Filter (135)
            :                 +- * HashAggregate (134)
            :                    +- ReusedExchange (133)
            +- * HashAggregate (154)
               +- Exchange (153)
                  +- * HashAggregate (152)
                     +- * HashAggregate (151)
                        +- Union (150)
                           :- * Filter (143)
                           :  +- * HashAggregate (142)
                           :     +- ReusedExchange (141)
                           :- * Filter (146)
                           :  +- * HashAggregate (145)
                           :     +- ReusedExchange (144)
                           +- * Filter (149)
                              +- * HashAggregate (148)
                                 +- ReusedExchange (147)


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

(6) Filter [codegen id : 11]
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))

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

(12) Filter [codegen id : 4]
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))

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

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

(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: 193]
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: 193]
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) Exchange
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, [plan_id=4]

(35) HashAggregate [codegen id : 10]
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]

(36) 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>

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

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

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

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

(41) 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]

(42) ReusedExchange [Reuses operator id: 193]
Output [1]: [d_date_sk#34]

(43) 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

(44) 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]

(45) 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]

(46) 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

(47) 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]

(48) 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

(49) 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]

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

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

(52) Scan 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>

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

(54) Filter [codegen id : 23]
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) ReusedExchange [Reuses operator id: 50]
Output [1]: [ss_item_sk#35]

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

(57) 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]

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

(59) 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]

(60) ReusedExchange [Reuses operator id: 188]
Output [1]: [d_date_sk#40]

(61) 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

(62) 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]

(63) 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]

(64) Exchange
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, [plan_id=9]

(65) 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 [6]: [store AS channel#49, 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#50, count(1)#48 AS number_sales#51]

(66) Filter [codegen id : 26]
Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51]
Condition : (isnotnull(sales#50) AND (cast(sales#50 as decimal(32,6)) > cast(Subquery scalar-subquery#52, [id=#10] as decimal(32,6))))

(67) Scan parquet spark_catalog.default.catalog_sales
Output [4]: [cs_item_sk#53, cs_quantity#54, cs_list_price#55, cs_sold_date_sk#56]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#56), dynamicpruningexpression(cs_sold_date_sk#56 IN dynamicpruning#5)]
PushedFilters: [IsNotNull(cs_item_sk)]
ReadSchema: struct<cs_item_sk:int,cs_quantity:int,cs_list_price:decimal(7,2)>

(68) ColumnarToRow [codegen id : 51]
Input [4]: [cs_item_sk#53, cs_quantity#54, cs_list_price#55, cs_sold_date_sk#56]

(69) Filter [codegen id : 51]
Input [4]: [cs_item_sk#53, cs_quantity#54, cs_list_price#55, cs_sold_date_sk#56]
Condition : isnotnull(cs_item_sk#53)

(70) ReusedExchange [Reuses operator id: 50]
Output [1]: [ss_item_sk#57]

(71) BroadcastHashJoin [codegen id : 51]
Left keys [1]: [cs_item_sk#53]
Right keys [1]: [ss_item_sk#57]
Join type: LeftSemi
Join condition: None

(72) ReusedExchange [Reuses operator id: 57]
Output [4]: [i_item_sk#58, i_brand_id#59, i_class_id#60, i_category_id#61]

(73) BroadcastHashJoin [codegen id : 51]
Left keys [1]: [cs_item_sk#53]
Right keys [1]: [i_item_sk#58]
Join type: Inner
Join condition: None

(74) Project [codegen id : 51]
Output [6]: [cs_quantity#54, cs_list_price#55, cs_sold_date_sk#56, i_brand_id#59, i_class_id#60, i_category_id#61]
Input [8]: [cs_item_sk#53, cs_quantity#54, cs_list_price#55, cs_sold_date_sk#56, i_item_sk#58, i_brand_id#59, i_class_id#60, i_category_id#61]

(75) ReusedExchange [Reuses operator id: 188]
Output [1]: [d_date_sk#62]

(76) BroadcastHashJoin [codegen id : 51]
Left keys [1]: [cs_sold_date_sk#56]
Right keys [1]: [d_date_sk#62]
Join type: Inner
Join condition: None

(77) Project [codegen id : 51]
Output [5]: [cs_quantity#54, cs_list_price#55, i_brand_id#59, i_class_id#60, i_category_id#61]
Input [7]: [cs_quantity#54, cs_list_price#55, cs_sold_date_sk#56, i_brand_id#59, i_class_id#60, i_category_id#61, d_date_sk#62]

(78) HashAggregate [codegen id : 51]
Input [5]: [cs_quantity#54, cs_list_price#55, i_brand_id#59, i_class_id#60, i_category_id#61]
Keys [3]: [i_brand_id#59, i_class_id#60, i_category_id#61]
Functions [2]: [partial_sum((cast(cs_quantity#54 as decimal(10,0)) * cs_list_price#55)), partial_count(1)]
Aggregate Attributes [3]: [sum#63, isEmpty#64, count#65]
Results [6]: [i_brand_id#59, i_class_id#60, i_category_id#61, sum#66, isEmpty#67, count#68]

(79) Exchange
Input [6]: [i_brand_id#59, i_class_id#60, i_category_id#61, sum#66, isEmpty#67, count#68]
Arguments: hashpartitioning(i_brand_id#59, i_class_id#60, i_category_id#61, 5), ENSURE_REQUIREMENTS, [plan_id=11]

(80) HashAggregate [codegen id : 52]
Input [6]: [i_brand_id#59, i_class_id#60, i_category_id#61, sum#66, isEmpty#67, count#68]
Keys [3]: [i_brand_id#59, i_class_id#60, i_category_id#61]
Functions [2]: [sum((cast(cs_quantity#54 as decimal(10,0)) * cs_list_price#55)), count(1)]
Aggregate Attributes [2]: [sum((cast(cs_quantity#54 as decimal(10,0)) * cs_list_price#55))#69, count(1)#70]
Results [6]: [catalog AS channel#71, i_brand_id#59, i_class_id#60, i_category_id#61, sum((cast(cs_quantity#54 as decimal(10,0)) * cs_list_price#55))#69 AS sales#72, count(1)#70 AS number_sales#73]

(81) Filter [codegen id : 52]
Input [6]: [channel#71, i_brand_id#59, i_class_id#60, i_category_id#61, sales#72, number_sales#73]
Condition : (isnotnull(sales#72) AND (cast(sales#72 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#10] as decimal(32,6))))

(82) Scan parquet spark_catalog.default.web_sales
Output [4]: [ws_item_sk#74, ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#77), dynamicpruningexpression(ws_sold_date_sk#77 IN dynamicpruning#5)]
PushedFilters: [IsNotNull(ws_item_sk)]
ReadSchema: struct<ws_item_sk:int,ws_quantity:int,ws_list_price:decimal(7,2)>

(83) ColumnarToRow [codegen id : 77]
Input [4]: [ws_item_sk#74, ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77]

(84) Filter [codegen id : 77]
Input [4]: [ws_item_sk#74, ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77]
Condition : isnotnull(ws_item_sk#74)

(85) ReusedExchange [Reuses operator id: 50]
Output [1]: [ss_item_sk#78]

(86) BroadcastHashJoin [codegen id : 77]
Left keys [1]: [ws_item_sk#74]
Right keys [1]: [ss_item_sk#78]
Join type: LeftSemi
Join condition: None

(87) ReusedExchange [Reuses operator id: 57]
Output [4]: [i_item_sk#79, i_brand_id#80, i_class_id#81, i_category_id#82]

(88) BroadcastHashJoin [codegen id : 77]
Left keys [1]: [ws_item_sk#74]
Right keys [1]: [i_item_sk#79]
Join type: Inner
Join condition: None

(89) Project [codegen id : 77]
Output [6]: [ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77, i_brand_id#80, i_class_id#81, i_category_id#82]
Input [8]: [ws_item_sk#74, ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77, i_item_sk#79, i_brand_id#80, i_class_id#81, i_category_id#82]

(90) ReusedExchange [Reuses operator id: 188]
Output [1]: [d_date_sk#83]

(91) BroadcastHashJoin [codegen id : 77]
Left keys [1]: [ws_sold_date_sk#77]
Right keys [1]: [d_date_sk#83]
Join type: Inner
Join condition: None

(92) Project [codegen id : 77]
Output [5]: [ws_quantity#75, ws_list_price#76, i_brand_id#80, i_class_id#81, i_category_id#82]
Input [7]: [ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77, i_brand_id#80, i_class_id#81, i_category_id#82, d_date_sk#83]

(93) HashAggregate [codegen id : 77]
Input [5]: [ws_quantity#75, ws_list_price#76, i_brand_id#80, i_class_id#81, i_category_id#82]
Keys [3]: [i_brand_id#80, i_class_id#81, i_category_id#82]
Functions [2]: [partial_sum((cast(ws_quantity#75 as decimal(10,0)) * ws_list_price#76)), partial_count(1)]
Aggregate Attributes [3]: [sum#84, isEmpty#85, count#86]
Results [6]: [i_brand_id#80, i_class_id#81, i_category_id#82, sum#87, isEmpty#88, count#89]

(94) Exchange
Input [6]: [i_brand_id#80, i_class_id#81, i_category_id#82, sum#87, isEmpty#88, count#89]
Arguments: hashpartitioning(i_brand_id#80, i_class_id#81, i_category_id#82, 5), ENSURE_REQUIREMENTS, [plan_id=12]

(95) HashAggregate [codegen id : 78]
Input [6]: [i_brand_id#80, i_class_id#81, i_category_id#82, sum#87, isEmpty#88, count#89]
Keys [3]: [i_brand_id#80, i_class_id#81, i_category_id#82]
Functions [2]: [sum((cast(ws_quantity#75 as decimal(10,0)) * ws_list_price#76)), count(1)]
Aggregate Attributes [2]: [sum((cast(ws_quantity#75 as decimal(10,0)) * ws_list_price#76))#90, count(1)#91]
Results [6]: [web AS channel#92, i_brand_id#80, i_class_id#81, i_category_id#82, sum((cast(ws_quantity#75 as decimal(10,0)) * ws_list_price#76))#90 AS sales#93, count(1)#91 AS number_sales#94]

(96) Filter [codegen id : 78]
Input [6]: [channel#92, i_brand_id#80, i_class_id#81, i_category_id#82, sales#93, number_sales#94]
Condition : (isnotnull(sales#93) AND (cast(sales#93 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#10] as decimal(32,6))))

(97) Union

(98) HashAggregate [codegen id : 79]
Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51]
Keys [4]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39]
Functions [2]: [sum(sales#50), sum(number_sales#51)]
Aggregate Attributes [2]: [sum(sales#50)#95, sum(number_sales#51)#96]
Results [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum(sales#50)#95 AS sum_sales#97, sum(number_sales#51)#96 AS number_sales#98]

(99) ReusedExchange [Reuses operator id: 64]
Output [6]: [i_brand_id#99, i_class_id#100, i_category_id#101, sum#102, isEmpty#103, count#46]

(100) HashAggregate [codegen id : 105]
Input [6]: [i_brand_id#99, i_class_id#100, i_category_id#101, sum#102, isEmpty#103, count#46]
Keys [3]: [i_brand_id#99, i_class_id#100, i_category_id#101]
Functions [2]: [sum((cast(ss_quantity#104 as decimal(10,0)) * ss_list_price#105)), count(1)]
Aggregate Attributes [2]: [sum((cast(ss_quantity#104 as decimal(10,0)) * ss_list_price#105))#47, count(1)#48]
Results [6]: [store AS channel#106, i_brand_id#99, i_class_id#100, i_category_id#101, sum((cast(ss_quantity#104 as decimal(10,0)) * ss_list_price#105))#47 AS sales#107, count(1)#48 AS number_sales#108]

(101) Filter [codegen id : 105]
Input [6]: [channel#106, i_brand_id#99, i_class_id#100, i_category_id#101, sales#107, number_sales#108]
Condition : (isnotnull(sales#107) AND (cast(sales#107 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#10] as decimal(32,6))))

(102) ReusedExchange [Reuses operator id: 79]
Output [6]: [i_brand_id#109, i_class_id#110, i_category_id#111, sum#112, isEmpty#113, count#68]

(103) HashAggregate [codegen id : 131]
Input [6]: [i_brand_id#109, i_class_id#110, i_category_id#111, sum#112, isEmpty#113, count#68]
Keys [3]: [i_brand_id#109, i_class_id#110, i_category_id#111]
Functions [2]: [sum((cast(cs_quantity#114 as decimal(10,0)) * cs_list_price#115)), count(1)]
Aggregate Attributes [2]: [sum((cast(cs_quantity#114 as decimal(10,0)) * cs_list_price#115))#69, count(1)#70]
Results [6]: [catalog AS channel#116, i_brand_id#109, i_class_id#110, i_category_id#111, sum((cast(cs_quantity#114 as decimal(10,0)) * cs_list_price#115))#69 AS sales#117, count(1)#70 AS number_sales#118]

(104) Filter [codegen id : 131]
Input [6]: [channel#116, i_brand_id#109, i_class_id#110, i_category_id#111, sales#117, number_sales#118]
Condition : (isnotnull(sales#117) AND (cast(sales#117 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#10] as decimal(32,6))))

(105) ReusedExchange [Reuses operator id: 94]
Output [6]: [i_brand_id#119, i_class_id#120, i_category_id#121, sum#122, isEmpty#123, count#89]

(106) HashAggregate [codegen id : 157]
Input [6]: [i_brand_id#119, i_class_id#120, i_category_id#121, sum#122, isEmpty#123, count#89]
Keys [3]: [i_brand_id#119, i_class_id#120, i_category_id#121]
Functions [2]: [sum((cast(ws_quantity#124 as decimal(10,0)) * ws_list_price#125)), count(1)]
Aggregate Attributes [2]: [sum((cast(ws_quantity#124 as decimal(10,0)) * ws_list_price#125))#90, count(1)#91]
Results [6]: [web AS channel#126, i_brand_id#119, i_class_id#120, i_category_id#121, sum((cast(ws_quantity#124 as decimal(10,0)) * ws_list_price#125))#90 AS sales#127, count(1)#91 AS number_sales#128]

(107) Filter [codegen id : 157]
Input [6]: [channel#126, i_brand_id#119, i_class_id#120, i_category_id#121, sales#127, number_sales#128]
Condition : (isnotnull(sales#127) AND (cast(sales#127 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#10] as decimal(32,6))))

(108) Union

(109) HashAggregate [codegen id : 158]
Input [6]: [channel#106, i_brand_id#99, i_class_id#100, i_category_id#101, sales#107, number_sales#108]
Keys [4]: [channel#106, i_brand_id#99, i_class_id#100, i_category_id#101]
Functions [2]: [sum(sales#107), sum(number_sales#108)]
Aggregate Attributes [2]: [sum(sales#107)#95, sum(number_sales#108)#96]
Results [5]: [channel#106, i_brand_id#99, i_class_id#100, sum(sales#107)#95 AS sum_sales#129, sum(number_sales#108)#96 AS number_sales#130]

(110) HashAggregate [codegen id : 158]
Input [5]: [channel#106, i_brand_id#99, i_class_id#100, sum_sales#129, number_sales#130]
Keys [3]: [channel#106, i_brand_id#99, i_class_id#100]
Functions [2]: [partial_sum(sum_sales#129), partial_sum(number_sales#130)]
Aggregate Attributes [3]: [sum#131, isEmpty#132, sum#133]
Results [6]: [channel#106, i_brand_id#99, i_class_id#100, sum#134, isEmpty#135, sum#136]

(111) Exchange
Input [6]: [channel#106, i_brand_id#99, i_class_id#100, sum#134, isEmpty#135, sum#136]
Arguments: hashpartitioning(channel#106, i_brand_id#99, i_class_id#100, 5), ENSURE_REQUIREMENTS, [plan_id=13]

(112) HashAggregate [codegen id : 159]
Input [6]: [channel#106, i_brand_id#99, i_class_id#100, sum#134, isEmpty#135, sum#136]
Keys [3]: [channel#106, i_brand_id#99, i_class_id#100]
Functions [2]: [sum(sum_sales#129), sum(number_sales#130)]
Aggregate Attributes [2]: [sum(sum_sales#129)#137, sum(number_sales#130)#138]
Results [6]: [channel#106, i_brand_id#99, i_class_id#100, null AS i_category_id#139, sum(sum_sales#129)#137 AS sum(sum_sales)#140, sum(number_sales#130)#138 AS sum(number_sales)#141]

(113) ReusedExchange [Reuses operator id: 64]
Output [6]: [i_brand_id#142, i_class_id#143, i_category_id#144, sum#145, isEmpty#146, count#46]

(114) HashAggregate [codegen id : 185]
Input [6]: [i_brand_id#142, i_class_id#143, i_category_id#144, sum#145, isEmpty#146, count#46]
Keys [3]: [i_brand_id#142, i_class_id#143, i_category_id#144]
Functions [2]: [sum((cast(ss_quantity#147 as decimal(10,0)) * ss_list_price#148)), count(1)]
Aggregate Attributes [2]: [sum((cast(ss_quantity#147 as decimal(10,0)) * ss_list_price#148))#47, count(1)#48]
Results [6]: [store AS channel#149, i_brand_id#142, i_class_id#143, i_category_id#144, sum((cast(ss_quantity#147 as decimal(10,0)) * ss_list_price#148))#47 AS sales#150, count(1)#48 AS number_sales#151]

(115) Filter [codegen id : 185]
Input [6]: [channel#149, i_brand_id#142, i_class_id#143, i_category_id#144, sales#150, number_sales#151]
Condition : (isnotnull(sales#150) AND (cast(sales#150 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#10] as decimal(32,6))))

(116) ReusedExchange [Reuses operator id: 79]
Output [6]: [i_brand_id#152, i_class_id#153, i_category_id#154, sum#155, isEmpty#156, count#68]

(117) HashAggregate [codegen id : 211]
Input [6]: [i_brand_id#152, i_class_id#153, i_category_id#154, sum#155, isEmpty#156, count#68]
Keys [3]: [i_brand_id#152, i_class_id#153, i_category_id#154]
Functions [2]: [sum((cast(cs_quantity#157 as decimal(10,0)) * cs_list_price#158)), count(1)]
Aggregate Attributes [2]: [sum((cast(cs_quantity#157 as decimal(10,0)) * cs_list_price#158))#69, count(1)#70]
Results [6]: [catalog AS channel#159, i_brand_id#152, i_class_id#153, i_category_id#154, sum((cast(cs_quantity#157 as decimal(10,0)) * cs_list_price#158))#69 AS sales#160, count(1)#70 AS number_sales#161]

(118) Filter [codegen id : 211]
Input [6]: [channel#159, i_brand_id#152, i_class_id#153, i_category_id#154, sales#160, number_sales#161]
Condition : (isnotnull(sales#160) AND (cast(sales#160 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#10] as decimal(32,6))))

(119) ReusedExchange [Reuses operator id: 94]
Output [6]: [i_brand_id#162, i_class_id#163, i_category_id#164, sum#165, isEmpty#166, count#89]

(120) HashAggregate [codegen id : 237]
Input [6]: [i_brand_id#162, i_class_id#163, i_category_id#164, sum#165, isEmpty#166, count#89]
Keys [3]: [i_brand_id#162, i_class_id#163, i_category_id#164]
Functions [2]: [sum((cast(ws_quantity#167 as decimal(10,0)) * ws_list_price#168)), count(1)]
Aggregate Attributes [2]: [sum((cast(ws_quantity#167 as decimal(10,0)) * ws_list_price#168))#90, count(1)#91]
Results [6]: [web AS channel#169, i_brand_id#162, i_class_id#163, i_category_id#164, sum((cast(ws_quantity#167 as decimal(10,0)) * ws_list_price#168))#90 AS sales#170, count(1)#91 AS number_sales#171]

(121) Filter [codegen id : 237]
Input [6]: [channel#169, i_brand_id#162, i_class_id#163, i_category_id#164, sales#170, number_sales#171]
Condition : (isnotnull(sales#170) AND (cast(sales#170 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#10] as decimal(32,6))))

(122) Union

(123) HashAggregate [codegen id : 238]
Input [6]: [channel#149, i_brand_id#142, i_class_id#143, i_category_id#144, sales#150, number_sales#151]
Keys [4]: [channel#149, i_brand_id#142, i_class_id#143, i_category_id#144]
Functions [2]: [sum(sales#150), sum(number_sales#151)]
Aggregate Attributes [2]: [sum(sales#150)#95, sum(number_sales#151)#96]
Results [4]: [channel#149, i_brand_id#142, sum(sales#150)#95 AS sum_sales#172, sum(number_sales#151)#96 AS number_sales#173]

(124) HashAggregate [codegen id : 238]
Input [4]: [channel#149, i_brand_id#142, sum_sales#172, number_sales#173]
Keys [2]: [channel#149, i_brand_id#142]
Functions [2]: [partial_sum(sum_sales#172), partial_sum(number_sales#173)]
Aggregate Attributes [3]: [sum#174, isEmpty#175, sum#176]
Results [5]: [channel#149, i_brand_id#142, sum#177, isEmpty#178, sum#179]

(125) Exchange
Input [5]: [channel#149, i_brand_id#142, sum#177, isEmpty#178, sum#179]
Arguments: hashpartitioning(channel#149, i_brand_id#142, 5), ENSURE_REQUIREMENTS, [plan_id=14]

(126) HashAggregate [codegen id : 239]
Input [5]: [channel#149, i_brand_id#142, sum#177, isEmpty#178, sum#179]
Keys [2]: [channel#149, i_brand_id#142]
Functions [2]: [sum(sum_sales#172), sum(number_sales#173)]
Aggregate Attributes [2]: [sum(sum_sales#172)#180, sum(number_sales#173)#181]
Results [6]: [channel#149, i_brand_id#142, null AS i_class_id#182, null AS i_category_id#183, sum(sum_sales#172)#180 AS sum(sum_sales)#184, sum(number_sales#173)#181 AS sum(number_sales)#185]

(127) ReusedExchange [Reuses operator id: 64]
Output [6]: [i_brand_id#186, i_class_id#187, i_category_id#188, sum#189, isEmpty#190, count#46]

(128) HashAggregate [codegen id : 265]
Input [6]: [i_brand_id#186, i_class_id#187, i_category_id#188, sum#189, isEmpty#190, count#46]
Keys [3]: [i_brand_id#186, i_class_id#187, i_category_id#188]
Functions [2]: [sum((cast(ss_quantity#191 as decimal(10,0)) * ss_list_price#192)), count(1)]
Aggregate Attributes [2]: [sum((cast(ss_quantity#191 as decimal(10,0)) * ss_list_price#192))#47, count(1)#48]
Results [6]: [store AS channel#193, i_brand_id#186, i_class_id#187, i_category_id#188, sum((cast(ss_quantity#191 as decimal(10,0)) * ss_list_price#192))#47 AS sales#194, count(1)#48 AS number_sales#195]

(129) Filter [codegen id : 265]
Input [6]: [channel#193, i_brand_id#186, i_class_id#187, i_category_id#188, sales#194, number_sales#195]
Condition : (isnotnull(sales#194) AND (cast(sales#194 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#10] as decimal(32,6))))

(130) ReusedExchange [Reuses operator id: 79]
Output [6]: [i_brand_id#196, i_class_id#197, i_category_id#198, sum#199, isEmpty#200, count#68]

(131) HashAggregate [codegen id : 291]
Input [6]: [i_brand_id#196, i_class_id#197, i_category_id#198, sum#199, isEmpty#200, count#68]
Keys [3]: [i_brand_id#196, i_class_id#197, i_category_id#198]
Functions [2]: [sum((cast(cs_quantity#201 as decimal(10,0)) * cs_list_price#202)), count(1)]
Aggregate Attributes [2]: [sum((cast(cs_quantity#201 as decimal(10,0)) * cs_list_price#202))#69, count(1)#70]
Results [6]: [catalog AS channel#203, i_brand_id#196, i_class_id#197, i_category_id#198, sum((cast(cs_quantity#201 as decimal(10,0)) * cs_list_price#202))#69 AS sales#204, count(1)#70 AS number_sales#205]

(132) Filter [codegen id : 291]
Input [6]: [channel#203, i_brand_id#196, i_class_id#197, i_category_id#198, sales#204, number_sales#205]
Condition : (isnotnull(sales#204) AND (cast(sales#204 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#10] as decimal(32,6))))

(133) ReusedExchange [Reuses operator id: 94]
Output [6]: [i_brand_id#206, i_class_id#207, i_category_id#208, sum#209, isEmpty#210, count#89]

(134) HashAggregate [codegen id : 317]
Input [6]: [i_brand_id#206, i_class_id#207, i_category_id#208, sum#209, isEmpty#210, count#89]
Keys [3]: [i_brand_id#206, i_class_id#207, i_category_id#208]
Functions [2]: [sum((cast(ws_quantity#211 as decimal(10,0)) * ws_list_price#212)), count(1)]
Aggregate Attributes [2]: [sum((cast(ws_quantity#211 as decimal(10,0)) * ws_list_price#212))#90, count(1)#91]
Results [6]: [web AS channel#213, i_brand_id#206, i_class_id#207, i_category_id#208, sum((cast(ws_quantity#211 as decimal(10,0)) * ws_list_price#212))#90 AS sales#214, count(1)#91 AS number_sales#215]

(135) Filter [codegen id : 317]
Input [6]: [channel#213, i_brand_id#206, i_class_id#207, i_category_id#208, sales#214, number_sales#215]
Condition : (isnotnull(sales#214) AND (cast(sales#214 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#10] as decimal(32,6))))

(136) Union

(137) HashAggregate [codegen id : 318]
Input [6]: [channel#193, i_brand_id#186, i_class_id#187, i_category_id#188, sales#194, number_sales#195]
Keys [4]: [channel#193, i_brand_id#186, i_class_id#187, i_category_id#188]
Functions [2]: [sum(sales#194), sum(number_sales#195)]
Aggregate Attributes [2]: [sum(sales#194)#95, sum(number_sales#195)#96]
Results [3]: [channel#193, sum(sales#194)#95 AS sum_sales#216, sum(number_sales#195)#96 AS number_sales#217]

(138) HashAggregate [codegen id : 318]
Input [3]: [channel#193, sum_sales#216, number_sales#217]
Keys [1]: [channel#193]
Functions [2]: [partial_sum(sum_sales#216), partial_sum(number_sales#217)]
Aggregate Attributes [3]: [sum#218, isEmpty#219, sum#220]
Results [4]: [channel#193, sum#221, isEmpty#222, sum#223]

(139) Exchange
Input [4]: [channel#193, sum#221, isEmpty#222, sum#223]
Arguments: hashpartitioning(channel#193, 5), ENSURE_REQUIREMENTS, [plan_id=15]

(140) HashAggregate [codegen id : 319]
Input [4]: [channel#193, sum#221, isEmpty#222, sum#223]
Keys [1]: [channel#193]
Functions [2]: [sum(sum_sales#216), sum(number_sales#217)]
Aggregate Attributes [2]: [sum(sum_sales#216)#224, sum(number_sales#217)#225]
Results [6]: [channel#193, null AS i_brand_id#226, null AS i_class_id#227, null AS i_category_id#228, sum(sum_sales#216)#224 AS sum(sum_sales)#229, sum(number_sales#217)#225 AS sum(number_sales)#230]

(141) ReusedExchange [Reuses operator id: 64]
Output [6]: [i_brand_id#231, i_class_id#232, i_category_id#233, sum#234, isEmpty#235, count#46]

(142) HashAggregate [codegen id : 345]
Input [6]: [i_brand_id#231, i_class_id#232, i_category_id#233, sum#234, isEmpty#235, count#46]
Keys [3]: [i_brand_id#231, i_class_id#232, i_category_id#233]
Functions [2]: [sum((cast(ss_quantity#236 as decimal(10,0)) * ss_list_price#237)), count(1)]
Aggregate Attributes [2]: [sum((cast(ss_quantity#236 as decimal(10,0)) * ss_list_price#237))#47, count(1)#48]
Results [6]: [store AS channel#238, i_brand_id#231, i_class_id#232, i_category_id#233, sum((cast(ss_quantity#236 as decimal(10,0)) * ss_list_price#237))#47 AS sales#239, count(1)#48 AS number_sales#240]

(143) Filter [codegen id : 345]
Input [6]: [channel#238, i_brand_id#231, i_class_id#232, i_category_id#233, sales#239, number_sales#240]
Condition : (isnotnull(sales#239) AND (cast(sales#239 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#10] as decimal(32,6))))

(144) ReusedExchange [Reuses operator id: 79]
Output [6]: [i_brand_id#241, i_class_id#242, i_category_id#243, sum#244, isEmpty#245, count#68]

(145) HashAggregate [codegen id : 371]
Input [6]: [i_brand_id#241, i_class_id#242, i_category_id#243, sum#244, isEmpty#245, count#68]
Keys [3]: [i_brand_id#241, i_class_id#242, i_category_id#243]
Functions [2]: [sum((cast(cs_quantity#246 as decimal(10,0)) * cs_list_price#247)), count(1)]
Aggregate Attributes [2]: [sum((cast(cs_quantity#246 as decimal(10,0)) * cs_list_price#247))#69, count(1)#70]
Results [6]: [catalog AS channel#248, i_brand_id#241, i_class_id#242, i_category_id#243, sum((cast(cs_quantity#246 as decimal(10,0)) * cs_list_price#247))#69 AS sales#249, count(1)#70 AS number_sales#250]

(146) Filter [codegen id : 371]
Input [6]: [channel#248, i_brand_id#241, i_class_id#242, i_category_id#243, sales#249, number_sales#250]
Condition : (isnotnull(sales#249) AND (cast(sales#249 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#10] as decimal(32,6))))

(147) ReusedExchange [Reuses operator id: 94]
Output [6]: [i_brand_id#251, i_class_id#252, i_category_id#253, sum#254, isEmpty#255, count#89]

(148) HashAggregate [codegen id : 397]
Input [6]: [i_brand_id#251, i_class_id#252, i_category_id#253, sum#254, isEmpty#255, count#89]
Keys [3]: [i_brand_id#251, i_class_id#252, i_category_id#253]
Functions [2]: [sum((cast(ws_quantity#256 as decimal(10,0)) * ws_list_price#257)), count(1)]
Aggregate Attributes [2]: [sum((cast(ws_quantity#256 as decimal(10,0)) * ws_list_price#257))#90, count(1)#91]
Results [6]: [web AS channel#258, i_brand_id#251, i_class_id#252, i_category_id#253, sum((cast(ws_quantity#256 as decimal(10,0)) * ws_list_price#257))#90 AS sales#259, count(1)#91 AS number_sales#260]

(149) Filter [codegen id : 397]
Input [6]: [channel#258, i_brand_id#251, i_class_id#252, i_category_id#253, sales#259, number_sales#260]
Condition : (isnotnull(sales#259) AND (cast(sales#259 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#10] as decimal(32,6))))

(150) Union

(151) HashAggregate [codegen id : 398]
Input [6]: [channel#238, i_brand_id#231, i_class_id#232, i_category_id#233, sales#239, number_sales#240]
Keys [4]: [channel#238, i_brand_id#231, i_class_id#232, i_category_id#233]
Functions [2]: [sum(sales#239), sum(number_sales#240)]
Aggregate Attributes [2]: [sum(sales#239)#95, sum(number_sales#240)#96]
Results [2]: [sum(sales#239)#95 AS sum_sales#261, sum(number_sales#240)#96 AS number_sales#262]

(152) HashAggregate [codegen id : 398]
Input [2]: [sum_sales#261, number_sales#262]
Keys: []
Functions [2]: [partial_sum(sum_sales#261), partial_sum(number_sales#262)]
Aggregate Attributes [3]: [sum#263, isEmpty#264, sum#265]
Results [3]: [sum#266, isEmpty#267, sum#268]

(153) Exchange
Input [3]: [sum#266, isEmpty#267, sum#268]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=16]

(154) HashAggregate [codegen id : 399]
Input [3]: [sum#266, isEmpty#267, sum#268]
Keys: []
Functions [2]: [sum(sum_sales#261), sum(number_sales#262)]
Aggregate Attributes [2]: [sum(sum_sales#261)#269, sum(number_sales#262)#270]
Results [6]: [null AS channel#271, null AS i_brand_id#272, null AS i_class_id#273, null AS i_category_id#274, sum(sum_sales#261)#269 AS sum(sum_sales)#275, sum(number_sales#262)#270 AS sum(number_sales)#276]

(155) Union

(156) HashAggregate [codegen id : 400]
Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#97, number_sales#98]
Keys [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#97, number_sales#98]
Functions: []
Aggregate Attributes: []
Results [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#97, number_sales#98]

(157) Exchange
Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#97, number_sales#98]
Arguments: hashpartitioning(channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#97, number_sales#98, 5), ENSURE_REQUIREMENTS, [plan_id=17]

(158) HashAggregate [codegen id : 401]
Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#97, number_sales#98]
Keys [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#97, number_sales#98]
Functions: []
Aggregate Attributes: []
Results [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#97, number_sales#98]

(159) TakeOrderedAndProject
Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#97, number_sales#98]
Arguments: 100, [channel#49 ASC NULLS FIRST, i_brand_id#37 ASC NULLS FIRST, i_class_id#38 ASC NULLS FIRST, i_category_id#39 ASC NULLS FIRST], [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#97, number_sales#98]

===== Subqueries =====

Subquery:1 Hosting operator id = 66 Hosting Expression = Subquery scalar-subquery#52, [id=#10]
* HashAggregate (178)
+- Exchange (177)
   +- * HashAggregate (176)
      +- * Union (175)
         :- * Project (164)
         :  +- * BroadcastHashJoin Inner BuildRight (163)
         :     :- * ColumnarToRow (161)
         :     :  +- Scan parquet spark_catalog.default.store_sales (160)
         :     +- ReusedExchange (162)
         :- * Project (169)
         :  +- * BroadcastHashJoin Inner BuildRight (168)
         :     :- * ColumnarToRow (166)
         :     :  +- Scan parquet spark_catalog.default.catalog_sales (165)
         :     +- ReusedExchange (167)
         +- * Project (174)
            +- * BroadcastHashJoin Inner BuildRight (173)
               :- * ColumnarToRow (171)
               :  +- Scan parquet spark_catalog.default.web_sales (170)
               +- ReusedExchange (172)


(160) Scan parquet spark_catalog.default.store_sales
Output [3]: [ss_quantity#277, ss_list_price#278, ss_sold_date_sk#279]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#279), dynamicpruningexpression(ss_sold_date_sk#279 IN dynamicpruning#12)]
ReadSchema: struct<ss_quantity:int,ss_list_price:decimal(7,2)>

(161) ColumnarToRow [codegen id : 4]
Input [3]: [ss_quantity#277, ss_list_price#278, ss_sold_date_sk#279]

(162) ReusedExchange [Reuses operator id: 193]
Output [1]: [d_date_sk#280]

(163) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [ss_sold_date_sk#279]
Right keys [1]: [d_date_sk#280]
Join type: Inner
Join condition: None

(164) Project [codegen id : 4]
Output [2]: [ss_quantity#277 AS quantity#281, ss_list_price#278 AS list_price#282]
Input [4]: [ss_quantity#277, ss_list_price#278, ss_sold_date_sk#279, d_date_sk#280]

(165) Scan parquet spark_catalog.default.catalog_sales
Output [3]: [cs_quantity#283, cs_list_price#284, cs_sold_date_sk#285]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#285), dynamicpruningexpression(cs_sold_date_sk#285 IN dynamicpruning#286)]
ReadSchema: struct<cs_quantity:int,cs_list_price:decimal(7,2)>

(166) ColumnarToRow
Input [3]: [cs_quantity#283, cs_list_price#284, cs_sold_date_sk#285]

(167) ReusedExchange [Reuses operator id: 183]
Output [1]: [d_date_sk#287]

(168) BroadcastHashJoin
Left keys [1]: [cs_sold_date_sk#285]
Right keys [1]: [d_date_sk#287]
Join type: Inner
Join condition: None

(169) Project
Output [2]: [cs_quantity#283 AS quantity#288, cs_list_price#284 AS list_price#289]
Input [4]: [cs_quantity#283, cs_list_price#284, cs_sold_date_sk#285, d_date_sk#287]

(170) Scan parquet spark_catalog.default.web_sales
Output [3]: [ws_quantity#290, ws_list_price#291, ws_sold_date_sk#292]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#292), dynamicpruningexpression(ws_sold_date_sk#292 IN dynamicpruning#286)]
ReadSchema: struct<ws_quantity:int,ws_list_price:decimal(7,2)>

(171) ColumnarToRow
Input [3]: [ws_quantity#290, ws_list_price#291, ws_sold_date_sk#292]

(172) ReusedExchange [Reuses operator id: 183]
Output [1]: [d_date_sk#293]

(173) BroadcastHashJoin
Left keys [1]: [ws_sold_date_sk#292]
Right keys [1]: [d_date_sk#293]
Join type: Inner
Join condition: None

(174) Project
Output [2]: [ws_quantity#290 AS quantity#294, ws_list_price#291 AS list_price#295]
Input [4]: [ws_quantity#290, ws_list_price#291, ws_sold_date_sk#292, d_date_sk#293]

(175) Union [codegen id : 4]

(176) HashAggregate [codegen id : 4]
Input [2]: [quantity#281, list_price#282]
Keys: []
Functions [1]: [partial_avg((cast(quantity#281 as decimal(10,0)) * list_price#282))]
Aggregate Attributes [2]: [sum#296, count#297]
Results [2]: [sum#298, count#299]

(177) Exchange
Input [2]: [sum#298, count#299]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=18]

(178) HashAggregate [codegen id : 5]
Input [2]: [sum#298, count#299]
Keys: []
Functions [1]: [avg((cast(quantity#281 as decimal(10,0)) * list_price#282))]
Aggregate Attributes [1]: [avg((cast(quantity#281 as decimal(10,0)) * list_price#282))#300]
Results [1]: [avg((cast(quantity#281 as decimal(10,0)) * list_price#282))#300 AS average_sales#301]

Subquery:2 Hosting operator id = 160 Hosting Expression = ss_sold_date_sk#279 IN dynamicpruning#12

Subquery:3 Hosting operator id = 165 Hosting Expression = cs_sold_date_sk#285 IN dynamicpruning#286
BroadcastExchange (183)
+- * Project (182)
   +- * Filter (181)
      +- * ColumnarToRow (180)
         +- Scan parquet spark_catalog.default.date_dim (179)


(179) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#287, d_year#302]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), GreaterThanOrEqual(d_year,1998), LessThanOrEqual(d_year,2000), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(180) ColumnarToRow [codegen id : 1]
Input [2]: [d_date_sk#287, d_year#302]

(181) Filter [codegen id : 1]
Input [2]: [d_date_sk#287, d_year#302]
Condition : (((isnotnull(d_year#302) AND (d_year#302 >= 1998)) AND (d_year#302 <= 2000)) AND isnotnull(d_date_sk#287))

(182) Project [codegen id : 1]
Output [1]: [d_date_sk#287]
Input [2]: [d_date_sk#287, d_year#302]

(183) BroadcastExchange
Input [1]: [d_date_sk#287]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=19]

Subquery:4 Hosting operator id = 170 Hosting Expression = ws_sold_date_sk#292 IN dynamicpruning#286

Subquery:5 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5
BroadcastExchange (188)
+- * Project (187)
   +- * Filter (186)
      +- * ColumnarToRow (185)
         +- Scan parquet spark_catalog.default.date_dim (184)


(184) Scan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#40, d_year#303, d_moy#304]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,11), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(185) ColumnarToRow [codegen id : 1]
Input [3]: [d_date_sk#40, d_year#303, d_moy#304]

(186) Filter [codegen id : 1]
Input [3]: [d_date_sk#40, d_year#303, d_moy#304]
Condition : ((((isnotnull(d_year#303) AND isnotnull(d_moy#304)) AND (d_year#303 = 2000)) AND (d_moy#304 = 11)) AND isnotnull(d_date_sk#40))

(187) Project [codegen id : 1]
Output [1]: [d_date_sk#40]
Input [3]: [d_date_sk#40, d_year#303, d_moy#304]

(188) BroadcastExchange
Input [1]: [d_date_sk#40]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=20]

Subquery:6 Hosting operator id = 7 Hosting Expression = ss_sold_date_sk#11 IN dynamicpruning#12
BroadcastExchange (193)
+- * Project (192)
   +- * Filter (191)
      +- * ColumnarToRow (190)
         +- Scan parquet spark_catalog.default.date_dim (189)


(189) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#24, d_year#305]
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>

(190) ColumnarToRow [codegen id : 1]
Input [2]: [d_date_sk#24, d_year#305]

(191) Filter [codegen id : 1]
Input [2]: [d_date_sk#24, d_year#305]
Condition : (((isnotnull(d_year#305) AND (d_year#305 >= 1999)) AND (d_year#305 <= 2001)) AND isnotnull(d_date_sk#24))

(192) Project [codegen id : 1]
Output [1]: [d_date_sk#24]
Input [2]: [d_date_sk#24, d_year#305]

(193) BroadcastExchange
Input [1]: [d_date_sk#24]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=21]

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

Subquery:8 Hosting operator id = 36 Hosting Expression = ws_sold_date_sk#29 IN dynamicpruning#12

Subquery:9 Hosting operator id = 81 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#10]

Subquery:10 Hosting operator id = 67 Hosting Expression = cs_sold_date_sk#56 IN dynamicpruning#5

Subquery:11 Hosting operator id = 96 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#10]

Subquery:12 Hosting operator id = 82 Hosting Expression = ws_sold_date_sk#77 IN dynamicpruning#5

Subquery:13 Hosting operator id = 101 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#10]

Subquery:14 Hosting operator id = 104 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#10]

Subquery:15 Hosting operator id = 107 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#10]

Subquery:16 Hosting operator id = 115 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#10]

Subquery:17 Hosting operator id = 118 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#10]

Subquery:18 Hosting operator id = 121 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#10]

Subquery:19 Hosting operator id = 129 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#10]

Subquery:20 Hosting operator id = 132 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#10]

Subquery:21 Hosting operator id = 135 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#10]

Subquery:22 Hosting operator id = 143 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#10]

Subquery:23 Hosting operator id = 146 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#10]

Subquery:24 Hosting operator id = 149 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#10]


