== Physical Plan ==
* CometColumnarToRow (124)
+- CometTakeOrderedAndProject (123)
   +- CometHashAggregate (122)
      +- CometColumnarExchange (121)
         +- * HashAggregate (120)
            +- Union (119)
               :- * HashAggregate (104)
               :  +- * CometColumnarToRow (103)
               :     +- CometColumnarExchange (102)
               :        +- * HashAggregate (101)
               :           +- Union (100)
               :              :- * HashAggregate (39)
               :              :  +- * CometColumnarToRow (38)
               :              :     +- CometColumnarExchange (37)
               :              :        +- * HashAggregate (36)
               :              :           +- * CometColumnarToRow (35)
               :              :              +- CometProject (34)
               :              :                 +- CometBroadcastHashJoin (33)
               :              :                    :- CometProject (28)
               :              :                    :  +- CometBroadcastHashJoin (27)
               :              :                    :     :- CometProject (22)
               :              :                    :     :  +- CometBroadcastHashJoin (21)
               :              :                    :     :     :- CometProject (17)
               :              :                    :     :     :  +- CometBroadcastHashJoin (16)
               :              :                    :     :     :     :- CometProject (11)
               :              :                    :     :     :     :  +- CometSortMergeJoin (10)
               :              :                    :     :     :     :     :- CometSort (4)
               :              :                    :     :     :     :     :  +- CometExchange (3)
               :              :                    :     :     :     :     :     +- CometFilter (2)
               :              :                    :     :     :     :     :        +- CometScan parquet spark_catalog.default.store_sales (1)
               :              :                    :     :     :     :     +- CometSort (9)
               :              :                    :     :     :     :        +- CometExchange (8)
               :              :                    :     :     :     :           +- CometProject (7)
               :              :                    :     :     :     :              +- CometFilter (6)
               :              :                    :     :     :     :                 +- CometScan parquet spark_catalog.default.store_returns (5)
               :              :                    :     :     :     +- CometBroadcastExchange (15)
               :              :                    :     :     :        +- CometProject (14)
               :              :                    :     :     :           +- CometFilter (13)
               :              :                    :     :     :              +- CometScan parquet spark_catalog.default.date_dim (12)
               :              :                    :     :     +- CometBroadcastExchange (20)
               :              :                    :     :        +- CometFilter (19)
               :              :                    :     :           +- CometScan parquet spark_catalog.default.store (18)
               :              :                    :     +- CometBroadcastExchange (26)
               :              :                    :        +- CometProject (25)
               :              :                    :           +- CometFilter (24)
               :              :                    :              +- CometScan parquet spark_catalog.default.item (23)
               :              :                    +- CometBroadcastExchange (32)
               :              :                       +- CometProject (31)
               :              :                          +- CometFilter (30)
               :              :                             +- CometScan parquet spark_catalog.default.promotion (29)
               :              :- * HashAggregate (69)
               :              :  +- * CometColumnarToRow (68)
               :              :     +- CometColumnarExchange (67)
               :              :        +- * HashAggregate (66)
               :              :           +- * CometColumnarToRow (65)
               :              :              +- CometProject (64)
               :              :                 +- CometBroadcastHashJoin (63)
               :              :                    :- CometProject (61)
               :              :                    :  +- CometBroadcastHashJoin (60)
               :              :                    :     :- CometProject (58)
               :              :                    :     :  +- CometBroadcastHashJoin (57)
               :              :                    :     :     :- CometProject (53)
               :              :                    :     :     :  +- CometBroadcastHashJoin (52)
               :              :                    :     :     :     :- CometProject (50)
               :              :                    :     :     :     :  +- CometSortMergeJoin (49)
               :              :                    :     :     :     :     :- CometSort (43)
               :              :                    :     :     :     :     :  +- CometExchange (42)
               :              :                    :     :     :     :     :     +- CometFilter (41)
               :              :                    :     :     :     :     :        +- CometScan parquet spark_catalog.default.catalog_sales (40)
               :              :                    :     :     :     :     +- CometSort (48)
               :              :                    :     :     :     :        +- CometExchange (47)
               :              :                    :     :     :     :           +- CometProject (46)
               :              :                    :     :     :     :              +- CometFilter (45)
               :              :                    :     :     :     :                 +- CometScan parquet spark_catalog.default.catalog_returns (44)
               :              :                    :     :     :     +- ReusedExchange (51)
               :              :                    :     :     +- CometBroadcastExchange (56)
               :              :                    :     :        +- CometFilter (55)
               :              :                    :     :           +- CometScan parquet spark_catalog.default.catalog_page (54)
               :              :                    :     +- ReusedExchange (59)
               :              :                    +- ReusedExchange (62)
               :              +- * HashAggregate (99)
               :                 +- * CometColumnarToRow (98)
               :                    +- CometColumnarExchange (97)
               :                       +- * HashAggregate (96)
               :                          +- * CometColumnarToRow (95)
               :                             +- CometProject (94)
               :                                +- CometBroadcastHashJoin (93)
               :                                   :- CometProject (91)
               :                                   :  +- CometBroadcastHashJoin (90)
               :                                   :     :- CometProject (88)
               :                                   :     :  +- CometBroadcastHashJoin (87)
               :                                   :     :     :- CometProject (83)
               :                                   :     :     :  +- CometBroadcastHashJoin (82)
               :                                   :     :     :     :- CometProject (80)
               :                                   :     :     :     :  +- CometSortMergeJoin (79)
               :                                   :     :     :     :     :- CometSort (73)
               :                                   :     :     :     :     :  +- CometExchange (72)
               :                                   :     :     :     :     :     +- CometFilter (71)
               :                                   :     :     :     :     :        +- CometScan parquet spark_catalog.default.web_sales (70)
               :                                   :     :     :     :     +- CometSort (78)
               :                                   :     :     :     :        +- CometExchange (77)
               :                                   :     :     :     :           +- CometProject (76)
               :                                   :     :     :     :              +- CometFilter (75)
               :                                   :     :     :     :                 +- CometScan parquet spark_catalog.default.web_returns (74)
               :                                   :     :     :     +- ReusedExchange (81)
               :                                   :     :     +- CometBroadcastExchange (86)
               :                                   :     :        +- CometFilter (85)
               :                                   :     :           +- CometScan parquet spark_catalog.default.web_site (84)
               :                                   :     +- ReusedExchange (89)
               :                                   +- ReusedExchange (92)
               :- * HashAggregate (111)
               :  +- * CometColumnarToRow (110)
               :     +- CometColumnarExchange (109)
               :        +- * HashAggregate (108)
               :           +- * HashAggregate (107)
               :              +- * CometColumnarToRow (106)
               :                 +- ReusedExchange (105)
               +- * HashAggregate (118)
                  +- * CometColumnarToRow (117)
                     +- CometColumnarExchange (116)
                        +- * HashAggregate (115)
                           +- * HashAggregate (114)
                              +- * CometColumnarToRow (113)
                                 +- ReusedExchange (112)


(1) CometScan parquet spark_catalog.default.store_sales
Output [7]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#7), dynamicpruningexpression(ss_sold_date_sk#7 IN dynamicpruning#8)]
PushedFilters: [IsNotNull(ss_store_sk), IsNotNull(ss_item_sk), IsNotNull(ss_promo_sk)]
ReadSchema: struct<ss_item_sk:int,ss_store_sk:int,ss_promo_sk:int,ss_ticket_number:int,ss_ext_sales_price:decimal(7,2),ss_net_profit:decimal(7,2)>

(2) CometFilter
Input [7]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]
Condition : ((isnotnull(ss_store_sk#2) AND isnotnull(ss_item_sk#1)) AND isnotnull(ss_promo_sk#3))

(3) CometExchange
Input [7]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]
Arguments: hashpartitioning(ss_item_sk#1, ss_ticket_number#4, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(4) CometSort
Input [7]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]
Arguments: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7], [ss_item_sk#1 ASC NULLS FIRST, ss_ticket_number#4 ASC NULLS FIRST]

(5) CometScan parquet spark_catalog.default.store_returns
Output [5]: [sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12, sr_returned_date_sk#13]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store_returns]
PushedFilters: [IsNotNull(sr_item_sk), IsNotNull(sr_ticket_number)]
ReadSchema: struct<sr_item_sk:int,sr_ticket_number:int,sr_return_amt:decimal(7,2),sr_net_loss:decimal(7,2)>

(6) CometFilter
Input [5]: [sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12, sr_returned_date_sk#13]
Condition : (isnotnull(sr_item_sk#9) AND isnotnull(sr_ticket_number#10))

(7) CometProject
Input [5]: [sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12, sr_returned_date_sk#13]
Arguments: [sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12], [sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12]

(8) CometExchange
Input [4]: [sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12]
Arguments: hashpartitioning(sr_item_sk#9, sr_ticket_number#10, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2]

(9) CometSort
Input [4]: [sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12]
Arguments: [sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12], [sr_item_sk#9 ASC NULLS FIRST, sr_ticket_number#10 ASC NULLS FIRST]

(10) CometSortMergeJoin
Left output [7]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]
Right output [4]: [sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12]
Arguments: [ss_item_sk#1, ss_ticket_number#4], [sr_item_sk#9, sr_ticket_number#10], LeftOuter

(11) CometProject
Input [11]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7, sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12]
Arguments: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7, sr_return_amt#11, sr_net_loss#12], [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7, sr_return_amt#11, sr_net_loss#12]

(12) CometScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#14, d_date#15]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1998-08-04), LessThanOrEqual(d_date,1998-09-03), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(13) CometFilter
Input [2]: [d_date_sk#14, d_date#15]
Condition : (((isnotnull(d_date#15) AND (d_date#15 >= 1998-08-04)) AND (d_date#15 <= 1998-09-03)) AND isnotnull(d_date_sk#14))

(14) CometProject
Input [2]: [d_date_sk#14, d_date#15]
Arguments: [d_date_sk#14], [d_date_sk#14]

(15) CometBroadcastExchange
Input [1]: [d_date_sk#14]
Arguments: [d_date_sk#14]

(16) CometBroadcastHashJoin
Left output [8]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7, sr_return_amt#11, sr_net_loss#12]
Right output [1]: [d_date_sk#14]
Arguments: [ss_sold_date_sk#7], [d_date_sk#14], Inner, BuildRight

(17) CometProject
Input [9]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7, sr_return_amt#11, sr_net_loss#12, d_date_sk#14]
Arguments: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12], [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12]

(18) CometScan parquet spark_catalog.default.store
Output [2]: [s_store_sk#16, s_store_id#17]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_store_id:string>

(19) CometFilter
Input [2]: [s_store_sk#16, s_store_id#17]
Condition : isnotnull(s_store_sk#16)

(20) CometBroadcastExchange
Input [2]: [s_store_sk#16, s_store_id#17]
Arguments: [s_store_sk#16, s_store_id#17]

(21) CometBroadcastHashJoin
Left output [7]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12]
Right output [2]: [s_store_sk#16, s_store_id#17]
Arguments: [ss_store_sk#2], [s_store_sk#16], Inner, BuildRight

(22) CometProject
Input [9]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_sk#16, s_store_id#17]
Arguments: [ss_item_sk#1, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#17], [ss_item_sk#1, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#17]

(23) CometScan parquet spark_catalog.default.item
Output [2]: [i_item_sk#18, i_current_price#19]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_current_price), GreaterThan(i_current_price,50.00), IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_current_price:decimal(7,2)>

(24) CometFilter
Input [2]: [i_item_sk#18, i_current_price#19]
Condition : ((isnotnull(i_current_price#19) AND (i_current_price#19 > 50.00)) AND isnotnull(i_item_sk#18))

(25) CometProject
Input [2]: [i_item_sk#18, i_current_price#19]
Arguments: [i_item_sk#18], [i_item_sk#18]

(26) CometBroadcastExchange
Input [1]: [i_item_sk#18]
Arguments: [i_item_sk#18]

(27) CometBroadcastHashJoin
Left output [7]: [ss_item_sk#1, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#17]
Right output [1]: [i_item_sk#18]
Arguments: [ss_item_sk#1], [i_item_sk#18], Inner, BuildRight

(28) CometProject
Input [8]: [ss_item_sk#1, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#17, i_item_sk#18]
Arguments: [ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#17], [ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#17]

(29) CometScan parquet spark_catalog.default.promotion
Output [2]: [p_promo_sk#20, p_channel_tv#21]
Batched: true
Location [not included in comparison]/{warehouse_dir}/promotion]
PushedFilters: [IsNotNull(p_channel_tv), EqualTo(p_channel_tv,N), IsNotNull(p_promo_sk)]
ReadSchema: struct<p_promo_sk:int,p_channel_tv:string>

(30) CometFilter
Input [2]: [p_promo_sk#20, p_channel_tv#21]
Condition : ((isnotnull(p_channel_tv#21) AND (p_channel_tv#21 = N)) AND isnotnull(p_promo_sk#20))

(31) CometProject
Input [2]: [p_promo_sk#20, p_channel_tv#21]
Arguments: [p_promo_sk#20], [p_promo_sk#20]

(32) CometBroadcastExchange
Input [1]: [p_promo_sk#20]
Arguments: [p_promo_sk#20]

(33) CometBroadcastHashJoin
Left output [6]: [ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#17]
Right output [1]: [p_promo_sk#20]
Arguments: [ss_promo_sk#3], [p_promo_sk#20], Inner, BuildRight

(34) CometProject
Input [7]: [ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#17, p_promo_sk#20]
Arguments: [ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#17], [ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#17]

(35) CometColumnarToRow [codegen id : 1]
Input [5]: [ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#17]

(36) HashAggregate [codegen id : 1]
Input [5]: [ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#17]
Keys [1]: [s_store_id#17]
Functions [3]: [partial_sum(UnscaledValue(ss_ext_sales_price#5)), partial_sum(coalesce(cast(sr_return_amt#11 as decimal(12,2)), 0.00)), partial_sum((ss_net_profit#6 - coalesce(cast(sr_net_loss#12 as decimal(12,2)), 0.00)))]
Aggregate Attributes [5]: [sum#22, sum#23, isEmpty#24, sum#25, isEmpty#26]
Results [6]: [s_store_id#17, sum#27, sum#28, isEmpty#29, sum#30, isEmpty#31]

(37) CometColumnarExchange
Input [6]: [s_store_id#17, sum#27, sum#28, isEmpty#29, sum#30, isEmpty#31]
Arguments: hashpartitioning(s_store_id#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3]

(38) CometColumnarToRow [codegen id : 2]
Input [6]: [s_store_id#17, sum#27, sum#28, isEmpty#29, sum#30, isEmpty#31]

(39) HashAggregate [codegen id : 2]
Input [6]: [s_store_id#17, sum#27, sum#28, isEmpty#29, sum#30, isEmpty#31]
Keys [1]: [s_store_id#17]
Functions [3]: [sum(UnscaledValue(ss_ext_sales_price#5)), sum(coalesce(cast(sr_return_amt#11 as decimal(12,2)), 0.00)), sum((ss_net_profit#6 - coalesce(cast(sr_net_loss#12 as decimal(12,2)), 0.00)))]
Aggregate Attributes [3]: [sum(UnscaledValue(ss_ext_sales_price#5))#32, sum(coalesce(cast(sr_return_amt#11 as decimal(12,2)), 0.00))#33, sum((ss_net_profit#6 - coalesce(cast(sr_net_loss#12 as decimal(12,2)), 0.00)))#34]
Results [5]: [store channel AS channel#35, concat(store, s_store_id#17) AS id#36, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#5))#32,17,2) AS sales#37, sum(coalesce(cast(sr_return_amt#11 as decimal(12,2)), 0.00))#33 AS returns#38, sum((ss_net_profit#6 - coalesce(cast(sr_net_loss#12 as decimal(12,2)), 0.00)))#34 AS profit#39]

(40) CometScan parquet spark_catalog.default.catalog_sales
Output [7]: [cs_catalog_page_sk#40, cs_item_sk#41, cs_promo_sk#42, cs_order_number#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#46), dynamicpruningexpression(cs_sold_date_sk#46 IN dynamicpruning#47)]
PushedFilters: [IsNotNull(cs_catalog_page_sk), IsNotNull(cs_item_sk), IsNotNull(cs_promo_sk)]
ReadSchema: struct<cs_catalog_page_sk:int,cs_item_sk:int,cs_promo_sk:int,cs_order_number:int,cs_ext_sales_price:decimal(7,2),cs_net_profit:decimal(7,2)>

(41) CometFilter
Input [7]: [cs_catalog_page_sk#40, cs_item_sk#41, cs_promo_sk#42, cs_order_number#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46]
Condition : ((isnotnull(cs_catalog_page_sk#40) AND isnotnull(cs_item_sk#41)) AND isnotnull(cs_promo_sk#42))

(42) CometExchange
Input [7]: [cs_catalog_page_sk#40, cs_item_sk#41, cs_promo_sk#42, cs_order_number#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46]
Arguments: hashpartitioning(cs_item_sk#41, cs_order_number#43, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4]

(43) CometSort
Input [7]: [cs_catalog_page_sk#40, cs_item_sk#41, cs_promo_sk#42, cs_order_number#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46]
Arguments: [cs_catalog_page_sk#40, cs_item_sk#41, cs_promo_sk#42, cs_order_number#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46], [cs_item_sk#41 ASC NULLS FIRST, cs_order_number#43 ASC NULLS FIRST]

(44) CometScan parquet spark_catalog.default.catalog_returns
Output [5]: [cr_item_sk#48, cr_order_number#49, cr_return_amount#50, cr_net_loss#51, cr_returned_date_sk#52]
Batched: true
Location [not included in comparison]/{warehouse_dir}/catalog_returns]
PushedFilters: [IsNotNull(cr_item_sk), IsNotNull(cr_order_number)]
ReadSchema: struct<cr_item_sk:int,cr_order_number:int,cr_return_amount:decimal(7,2),cr_net_loss:decimal(7,2)>

(45) CometFilter
Input [5]: [cr_item_sk#48, cr_order_number#49, cr_return_amount#50, cr_net_loss#51, cr_returned_date_sk#52]
Condition : (isnotnull(cr_item_sk#48) AND isnotnull(cr_order_number#49))

(46) CometProject
Input [5]: [cr_item_sk#48, cr_order_number#49, cr_return_amount#50, cr_net_loss#51, cr_returned_date_sk#52]
Arguments: [cr_item_sk#48, cr_order_number#49, cr_return_amount#50, cr_net_loss#51], [cr_item_sk#48, cr_order_number#49, cr_return_amount#50, cr_net_loss#51]

(47) CometExchange
Input [4]: [cr_item_sk#48, cr_order_number#49, cr_return_amount#50, cr_net_loss#51]
Arguments: hashpartitioning(cr_item_sk#48, cr_order_number#49, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5]

(48) CometSort
Input [4]: [cr_item_sk#48, cr_order_number#49, cr_return_amount#50, cr_net_loss#51]
Arguments: [cr_item_sk#48, cr_order_number#49, cr_return_amount#50, cr_net_loss#51], [cr_item_sk#48 ASC NULLS FIRST, cr_order_number#49 ASC NULLS FIRST]

(49) CometSortMergeJoin
Left output [7]: [cs_catalog_page_sk#40, cs_item_sk#41, cs_promo_sk#42, cs_order_number#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46]
Right output [4]: [cr_item_sk#48, cr_order_number#49, cr_return_amount#50, cr_net_loss#51]
Arguments: [cs_item_sk#41, cs_order_number#43], [cr_item_sk#48, cr_order_number#49], LeftOuter

(50) CometProject
Input [11]: [cs_catalog_page_sk#40, cs_item_sk#41, cs_promo_sk#42, cs_order_number#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46, cr_item_sk#48, cr_order_number#49, cr_return_amount#50, cr_net_loss#51]
Arguments: [cs_catalog_page_sk#40, cs_item_sk#41, cs_promo_sk#42, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46, cr_return_amount#50, cr_net_loss#51], [cs_catalog_page_sk#40, cs_item_sk#41, cs_promo_sk#42, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46, cr_return_amount#50, cr_net_loss#51]

(51) ReusedExchange [Reuses operator id: 15]
Output [1]: [d_date_sk#53]

(52) CometBroadcastHashJoin
Left output [8]: [cs_catalog_page_sk#40, cs_item_sk#41, cs_promo_sk#42, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46, cr_return_amount#50, cr_net_loss#51]
Right output [1]: [d_date_sk#53]
Arguments: [cs_sold_date_sk#46], [d_date_sk#53], Inner, BuildRight

(53) CometProject
Input [9]: [cs_catalog_page_sk#40, cs_item_sk#41, cs_promo_sk#42, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46, cr_return_amount#50, cr_net_loss#51, d_date_sk#53]
Arguments: [cs_catalog_page_sk#40, cs_item_sk#41, cs_promo_sk#42, cs_ext_sales_price#44, cs_net_profit#45, cr_return_amount#50, cr_net_loss#51], [cs_catalog_page_sk#40, cs_item_sk#41, cs_promo_sk#42, cs_ext_sales_price#44, cs_net_profit#45, cr_return_amount#50, cr_net_loss#51]

(54) CometScan parquet spark_catalog.default.catalog_page
Output [2]: [cp_catalog_page_sk#54, cp_catalog_page_id#55]
Batched: true
Location [not included in comparison]/{warehouse_dir}/catalog_page]
PushedFilters: [IsNotNull(cp_catalog_page_sk)]
ReadSchema: struct<cp_catalog_page_sk:int,cp_catalog_page_id:string>

(55) CometFilter
Input [2]: [cp_catalog_page_sk#54, cp_catalog_page_id#55]
Condition : isnotnull(cp_catalog_page_sk#54)

(56) CometBroadcastExchange
Input [2]: [cp_catalog_page_sk#54, cp_catalog_page_id#55]
Arguments: [cp_catalog_page_sk#54, cp_catalog_page_id#55]

(57) CometBroadcastHashJoin
Left output [7]: [cs_catalog_page_sk#40, cs_item_sk#41, cs_promo_sk#42, cs_ext_sales_price#44, cs_net_profit#45, cr_return_amount#50, cr_net_loss#51]
Right output [2]: [cp_catalog_page_sk#54, cp_catalog_page_id#55]
Arguments: [cs_catalog_page_sk#40], [cp_catalog_page_sk#54], Inner, BuildRight

(58) CometProject
Input [9]: [cs_catalog_page_sk#40, cs_item_sk#41, cs_promo_sk#42, cs_ext_sales_price#44, cs_net_profit#45, cr_return_amount#50, cr_net_loss#51, cp_catalog_page_sk#54, cp_catalog_page_id#55]
Arguments: [cs_item_sk#41, cs_promo_sk#42, cs_ext_sales_price#44, cs_net_profit#45, cr_return_amount#50, cr_net_loss#51, cp_catalog_page_id#55], [cs_item_sk#41, cs_promo_sk#42, cs_ext_sales_price#44, cs_net_profit#45, cr_return_amount#50, cr_net_loss#51, cp_catalog_page_id#55]

(59) ReusedExchange [Reuses operator id: 26]
Output [1]: [i_item_sk#56]

(60) CometBroadcastHashJoin
Left output [7]: [cs_item_sk#41, cs_promo_sk#42, cs_ext_sales_price#44, cs_net_profit#45, cr_return_amount#50, cr_net_loss#51, cp_catalog_page_id#55]
Right output [1]: [i_item_sk#56]
Arguments: [cs_item_sk#41], [i_item_sk#56], Inner, BuildRight

(61) CometProject
Input [8]: [cs_item_sk#41, cs_promo_sk#42, cs_ext_sales_price#44, cs_net_profit#45, cr_return_amount#50, cr_net_loss#51, cp_catalog_page_id#55, i_item_sk#56]
Arguments: [cs_promo_sk#42, cs_ext_sales_price#44, cs_net_profit#45, cr_return_amount#50, cr_net_loss#51, cp_catalog_page_id#55], [cs_promo_sk#42, cs_ext_sales_price#44, cs_net_profit#45, cr_return_amount#50, cr_net_loss#51, cp_catalog_page_id#55]

(62) ReusedExchange [Reuses operator id: 32]
Output [1]: [p_promo_sk#57]

(63) CometBroadcastHashJoin
Left output [6]: [cs_promo_sk#42, cs_ext_sales_price#44, cs_net_profit#45, cr_return_amount#50, cr_net_loss#51, cp_catalog_page_id#55]
Right output [1]: [p_promo_sk#57]
Arguments: [cs_promo_sk#42], [p_promo_sk#57], Inner, BuildRight

(64) CometProject
Input [7]: [cs_promo_sk#42, cs_ext_sales_price#44, cs_net_profit#45, cr_return_amount#50, cr_net_loss#51, cp_catalog_page_id#55, p_promo_sk#57]
Arguments: [cs_ext_sales_price#44, cs_net_profit#45, cr_return_amount#50, cr_net_loss#51, cp_catalog_page_id#55], [cs_ext_sales_price#44, cs_net_profit#45, cr_return_amount#50, cr_net_loss#51, cp_catalog_page_id#55]

(65) CometColumnarToRow [codegen id : 3]
Input [5]: [cs_ext_sales_price#44, cs_net_profit#45, cr_return_amount#50, cr_net_loss#51, cp_catalog_page_id#55]

(66) HashAggregate [codegen id : 3]
Input [5]: [cs_ext_sales_price#44, cs_net_profit#45, cr_return_amount#50, cr_net_loss#51, cp_catalog_page_id#55]
Keys [1]: [cp_catalog_page_id#55]
Functions [3]: [partial_sum(UnscaledValue(cs_ext_sales_price#44)), partial_sum(coalesce(cast(cr_return_amount#50 as decimal(12,2)), 0.00)), partial_sum((cs_net_profit#45 - coalesce(cast(cr_net_loss#51 as decimal(12,2)), 0.00)))]
Aggregate Attributes [5]: [sum#58, sum#59, isEmpty#60, sum#61, isEmpty#62]
Results [6]: [cp_catalog_page_id#55, sum#63, sum#64, isEmpty#65, sum#66, isEmpty#67]

(67) CometColumnarExchange
Input [6]: [cp_catalog_page_id#55, sum#63, sum#64, isEmpty#65, sum#66, isEmpty#67]
Arguments: hashpartitioning(cp_catalog_page_id#55, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6]

(68) CometColumnarToRow [codegen id : 4]
Input [6]: [cp_catalog_page_id#55, sum#63, sum#64, isEmpty#65, sum#66, isEmpty#67]

(69) HashAggregate [codegen id : 4]
Input [6]: [cp_catalog_page_id#55, sum#63, sum#64, isEmpty#65, sum#66, isEmpty#67]
Keys [1]: [cp_catalog_page_id#55]
Functions [3]: [sum(UnscaledValue(cs_ext_sales_price#44)), sum(coalesce(cast(cr_return_amount#50 as decimal(12,2)), 0.00)), sum((cs_net_profit#45 - coalesce(cast(cr_net_loss#51 as decimal(12,2)), 0.00)))]
Aggregate Attributes [3]: [sum(UnscaledValue(cs_ext_sales_price#44))#68, sum(coalesce(cast(cr_return_amount#50 as decimal(12,2)), 0.00))#69, sum((cs_net_profit#45 - coalesce(cast(cr_net_loss#51 as decimal(12,2)), 0.00)))#70]
Results [5]: [catalog channel AS channel#71, concat(catalog_page, cp_catalog_page_id#55) AS id#72, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#44))#68,17,2) AS sales#73, sum(coalesce(cast(cr_return_amount#50 as decimal(12,2)), 0.00))#69 AS returns#74, sum((cs_net_profit#45 - coalesce(cast(cr_net_loss#51 as decimal(12,2)), 0.00)))#70 AS profit#75]

(70) CometScan parquet spark_catalog.default.web_sales
Output [7]: [ws_item_sk#76, ws_web_site_sk#77, ws_promo_sk#78, ws_order_number#79, ws_ext_sales_price#80, ws_net_profit#81, ws_sold_date_sk#82]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#82), dynamicpruningexpression(ws_sold_date_sk#82 IN dynamicpruning#83)]
PushedFilters: [IsNotNull(ws_web_site_sk), IsNotNull(ws_item_sk), IsNotNull(ws_promo_sk)]
ReadSchema: struct<ws_item_sk:int,ws_web_site_sk:int,ws_promo_sk:int,ws_order_number:int,ws_ext_sales_price:decimal(7,2),ws_net_profit:decimal(7,2)>

(71) CometFilter
Input [7]: [ws_item_sk#76, ws_web_site_sk#77, ws_promo_sk#78, ws_order_number#79, ws_ext_sales_price#80, ws_net_profit#81, ws_sold_date_sk#82]
Condition : ((isnotnull(ws_web_site_sk#77) AND isnotnull(ws_item_sk#76)) AND isnotnull(ws_promo_sk#78))

(72) CometExchange
Input [7]: [ws_item_sk#76, ws_web_site_sk#77, ws_promo_sk#78, ws_order_number#79, ws_ext_sales_price#80, ws_net_profit#81, ws_sold_date_sk#82]
Arguments: hashpartitioning(ws_item_sk#76, ws_order_number#79, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7]

(73) CometSort
Input [7]: [ws_item_sk#76, ws_web_site_sk#77, ws_promo_sk#78, ws_order_number#79, ws_ext_sales_price#80, ws_net_profit#81, ws_sold_date_sk#82]
Arguments: [ws_item_sk#76, ws_web_site_sk#77, ws_promo_sk#78, ws_order_number#79, ws_ext_sales_price#80, ws_net_profit#81, ws_sold_date_sk#82], [ws_item_sk#76 ASC NULLS FIRST, ws_order_number#79 ASC NULLS FIRST]

(74) CometScan parquet spark_catalog.default.web_returns
Output [5]: [wr_item_sk#84, wr_order_number#85, wr_return_amt#86, wr_net_loss#87, wr_returned_date_sk#88]
Batched: true
Location [not included in comparison]/{warehouse_dir}/web_returns]
PushedFilters: [IsNotNull(wr_item_sk), IsNotNull(wr_order_number)]
ReadSchema: struct<wr_item_sk:int,wr_order_number:int,wr_return_amt:decimal(7,2),wr_net_loss:decimal(7,2)>

(75) CometFilter
Input [5]: [wr_item_sk#84, wr_order_number#85, wr_return_amt#86, wr_net_loss#87, wr_returned_date_sk#88]
Condition : (isnotnull(wr_item_sk#84) AND isnotnull(wr_order_number#85))

(76) CometProject
Input [5]: [wr_item_sk#84, wr_order_number#85, wr_return_amt#86, wr_net_loss#87, wr_returned_date_sk#88]
Arguments: [wr_item_sk#84, wr_order_number#85, wr_return_amt#86, wr_net_loss#87], [wr_item_sk#84, wr_order_number#85, wr_return_amt#86, wr_net_loss#87]

(77) CometExchange
Input [4]: [wr_item_sk#84, wr_order_number#85, wr_return_amt#86, wr_net_loss#87]
Arguments: hashpartitioning(wr_item_sk#84, wr_order_number#85, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8]

(78) CometSort
Input [4]: [wr_item_sk#84, wr_order_number#85, wr_return_amt#86, wr_net_loss#87]
Arguments: [wr_item_sk#84, wr_order_number#85, wr_return_amt#86, wr_net_loss#87], [wr_item_sk#84 ASC NULLS FIRST, wr_order_number#85 ASC NULLS FIRST]

(79) CometSortMergeJoin
Left output [7]: [ws_item_sk#76, ws_web_site_sk#77, ws_promo_sk#78, ws_order_number#79, ws_ext_sales_price#80, ws_net_profit#81, ws_sold_date_sk#82]
Right output [4]: [wr_item_sk#84, wr_order_number#85, wr_return_amt#86, wr_net_loss#87]
Arguments: [ws_item_sk#76, ws_order_number#79], [wr_item_sk#84, wr_order_number#85], LeftOuter

(80) CometProject
Input [11]: [ws_item_sk#76, ws_web_site_sk#77, ws_promo_sk#78, ws_order_number#79, ws_ext_sales_price#80, ws_net_profit#81, ws_sold_date_sk#82, wr_item_sk#84, wr_order_number#85, wr_return_amt#86, wr_net_loss#87]
Arguments: [ws_item_sk#76, ws_web_site_sk#77, ws_promo_sk#78, ws_ext_sales_price#80, ws_net_profit#81, ws_sold_date_sk#82, wr_return_amt#86, wr_net_loss#87], [ws_item_sk#76, ws_web_site_sk#77, ws_promo_sk#78, ws_ext_sales_price#80, ws_net_profit#81, ws_sold_date_sk#82, wr_return_amt#86, wr_net_loss#87]

(81) ReusedExchange [Reuses operator id: 15]
Output [1]: [d_date_sk#89]

(82) CometBroadcastHashJoin
Left output [8]: [ws_item_sk#76, ws_web_site_sk#77, ws_promo_sk#78, ws_ext_sales_price#80, ws_net_profit#81, ws_sold_date_sk#82, wr_return_amt#86, wr_net_loss#87]
Right output [1]: [d_date_sk#89]
Arguments: [ws_sold_date_sk#82], [d_date_sk#89], Inner, BuildRight

(83) CometProject
Input [9]: [ws_item_sk#76, ws_web_site_sk#77, ws_promo_sk#78, ws_ext_sales_price#80, ws_net_profit#81, ws_sold_date_sk#82, wr_return_amt#86, wr_net_loss#87, d_date_sk#89]
Arguments: [ws_item_sk#76, ws_web_site_sk#77, ws_promo_sk#78, ws_ext_sales_price#80, ws_net_profit#81, wr_return_amt#86, wr_net_loss#87], [ws_item_sk#76, ws_web_site_sk#77, ws_promo_sk#78, ws_ext_sales_price#80, ws_net_profit#81, wr_return_amt#86, wr_net_loss#87]

(84) CometScan parquet spark_catalog.default.web_site
Output [2]: [web_site_sk#90, web_site_id#91]
Batched: true
Location [not included in comparison]/{warehouse_dir}/web_site]
PushedFilters: [IsNotNull(web_site_sk)]
ReadSchema: struct<web_site_sk:int,web_site_id:string>

(85) CometFilter
Input [2]: [web_site_sk#90, web_site_id#91]
Condition : isnotnull(web_site_sk#90)

(86) CometBroadcastExchange
Input [2]: [web_site_sk#90, web_site_id#91]
Arguments: [web_site_sk#90, web_site_id#91]

(87) CometBroadcastHashJoin
Left output [7]: [ws_item_sk#76, ws_web_site_sk#77, ws_promo_sk#78, ws_ext_sales_price#80, ws_net_profit#81, wr_return_amt#86, wr_net_loss#87]
Right output [2]: [web_site_sk#90, web_site_id#91]
Arguments: [ws_web_site_sk#77], [web_site_sk#90], Inner, BuildRight

(88) CometProject
Input [9]: [ws_item_sk#76, ws_web_site_sk#77, ws_promo_sk#78, ws_ext_sales_price#80, ws_net_profit#81, wr_return_amt#86, wr_net_loss#87, web_site_sk#90, web_site_id#91]
Arguments: [ws_item_sk#76, ws_promo_sk#78, ws_ext_sales_price#80, ws_net_profit#81, wr_return_amt#86, wr_net_loss#87, web_site_id#91], [ws_item_sk#76, ws_promo_sk#78, ws_ext_sales_price#80, ws_net_profit#81, wr_return_amt#86, wr_net_loss#87, web_site_id#91]

(89) ReusedExchange [Reuses operator id: 26]
Output [1]: [i_item_sk#92]

(90) CometBroadcastHashJoin
Left output [7]: [ws_item_sk#76, ws_promo_sk#78, ws_ext_sales_price#80, ws_net_profit#81, wr_return_amt#86, wr_net_loss#87, web_site_id#91]
Right output [1]: [i_item_sk#92]
Arguments: [ws_item_sk#76], [i_item_sk#92], Inner, BuildRight

(91) CometProject
Input [8]: [ws_item_sk#76, ws_promo_sk#78, ws_ext_sales_price#80, ws_net_profit#81, wr_return_amt#86, wr_net_loss#87, web_site_id#91, i_item_sk#92]
Arguments: [ws_promo_sk#78, ws_ext_sales_price#80, ws_net_profit#81, wr_return_amt#86, wr_net_loss#87, web_site_id#91], [ws_promo_sk#78, ws_ext_sales_price#80, ws_net_profit#81, wr_return_amt#86, wr_net_loss#87, web_site_id#91]

(92) ReusedExchange [Reuses operator id: 32]
Output [1]: [p_promo_sk#93]

(93) CometBroadcastHashJoin
Left output [6]: [ws_promo_sk#78, ws_ext_sales_price#80, ws_net_profit#81, wr_return_amt#86, wr_net_loss#87, web_site_id#91]
Right output [1]: [p_promo_sk#93]
Arguments: [ws_promo_sk#78], [p_promo_sk#93], Inner, BuildRight

(94) CometProject
Input [7]: [ws_promo_sk#78, ws_ext_sales_price#80, ws_net_profit#81, wr_return_amt#86, wr_net_loss#87, web_site_id#91, p_promo_sk#93]
Arguments: [ws_ext_sales_price#80, ws_net_profit#81, wr_return_amt#86, wr_net_loss#87, web_site_id#91], [ws_ext_sales_price#80, ws_net_profit#81, wr_return_amt#86, wr_net_loss#87, web_site_id#91]

(95) CometColumnarToRow [codegen id : 5]
Input [5]: [ws_ext_sales_price#80, ws_net_profit#81, wr_return_amt#86, wr_net_loss#87, web_site_id#91]

(96) HashAggregate [codegen id : 5]
Input [5]: [ws_ext_sales_price#80, ws_net_profit#81, wr_return_amt#86, wr_net_loss#87, web_site_id#91]
Keys [1]: [web_site_id#91]
Functions [3]: [partial_sum(UnscaledValue(ws_ext_sales_price#80)), partial_sum(coalesce(cast(wr_return_amt#86 as decimal(12,2)), 0.00)), partial_sum((ws_net_profit#81 - coalesce(cast(wr_net_loss#87 as decimal(12,2)), 0.00)))]
Aggregate Attributes [5]: [sum#94, sum#95, isEmpty#96, sum#97, isEmpty#98]
Results [6]: [web_site_id#91, sum#99, sum#100, isEmpty#101, sum#102, isEmpty#103]

(97) CometColumnarExchange
Input [6]: [web_site_id#91, sum#99, sum#100, isEmpty#101, sum#102, isEmpty#103]
Arguments: hashpartitioning(web_site_id#91, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9]

(98) CometColumnarToRow [codegen id : 6]
Input [6]: [web_site_id#91, sum#99, sum#100, isEmpty#101, sum#102, isEmpty#103]

(99) HashAggregate [codegen id : 6]
Input [6]: [web_site_id#91, sum#99, sum#100, isEmpty#101, sum#102, isEmpty#103]
Keys [1]: [web_site_id#91]
Functions [3]: [sum(UnscaledValue(ws_ext_sales_price#80)), sum(coalesce(cast(wr_return_amt#86 as decimal(12,2)), 0.00)), sum((ws_net_profit#81 - coalesce(cast(wr_net_loss#87 as decimal(12,2)), 0.00)))]
Aggregate Attributes [3]: [sum(UnscaledValue(ws_ext_sales_price#80))#104, sum(coalesce(cast(wr_return_amt#86 as decimal(12,2)), 0.00))#105, sum((ws_net_profit#81 - coalesce(cast(wr_net_loss#87 as decimal(12,2)), 0.00)))#106]
Results [5]: [web channel AS channel#107, concat(web_site, web_site_id#91) AS id#108, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#80))#104,17,2) AS sales#109, sum(coalesce(cast(wr_return_amt#86 as decimal(12,2)), 0.00))#105 AS returns#110, sum((ws_net_profit#81 - coalesce(cast(wr_net_loss#87 as decimal(12,2)), 0.00)))#106 AS profit#111]

(100) Union

(101) HashAggregate [codegen id : 7]
Input [5]: [channel#35, id#36, sales#37, returns#38, profit#39]
Keys [2]: [channel#35, id#36]
Functions [3]: [partial_sum(sales#37), partial_sum(returns#38), partial_sum(profit#39)]
Aggregate Attributes [6]: [sum#112, isEmpty#113, sum#114, isEmpty#115, sum#116, isEmpty#117]
Results [8]: [channel#35, id#36, sum#118, isEmpty#119, sum#120, isEmpty#121, sum#122, isEmpty#123]

(102) CometColumnarExchange
Input [8]: [channel#35, id#36, sum#118, isEmpty#119, sum#120, isEmpty#121, sum#122, isEmpty#123]
Arguments: hashpartitioning(channel#35, id#36, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10]

(103) CometColumnarToRow [codegen id : 8]
Input [8]: [channel#35, id#36, sum#118, isEmpty#119, sum#120, isEmpty#121, sum#122, isEmpty#123]

(104) HashAggregate [codegen id : 8]
Input [8]: [channel#35, id#36, sum#118, isEmpty#119, sum#120, isEmpty#121, sum#122, isEmpty#123]
Keys [2]: [channel#35, id#36]
Functions [3]: [sum(sales#37), sum(returns#38), sum(profit#39)]
Aggregate Attributes [3]: [sum(sales#37)#124, sum(returns#38)#125, sum(profit#39)#126]
Results [5]: [channel#35, id#36, cast(sum(sales#37)#124 as decimal(37,2)) AS sales#127, cast(sum(returns#38)#125 as decimal(38,2)) AS returns#128, cast(sum(profit#39)#126 as decimal(38,2)) AS profit#129]

(105) ReusedExchange [Reuses operator id: 102]
Output [8]: [channel#130, id#131, sum#132, isEmpty#133, sum#134, isEmpty#135, sum#136, isEmpty#137]

(106) CometColumnarToRow [codegen id : 16]
Input [8]: [channel#130, id#131, sum#132, isEmpty#133, sum#134, isEmpty#135, sum#136, isEmpty#137]

(107) HashAggregate [codegen id : 16]
Input [8]: [channel#130, id#131, sum#132, isEmpty#133, sum#134, isEmpty#135, sum#136, isEmpty#137]
Keys [2]: [channel#130, id#131]
Functions [3]: [sum(sales#138), sum(returns#139), sum(profit#140)]
Aggregate Attributes [3]: [sum(sales#138)#124, sum(returns#139)#125, sum(profit#140)#126]
Results [4]: [channel#130, sum(sales#138)#124 AS sales#141, sum(returns#139)#125 AS returns#142, sum(profit#140)#126 AS profit#143]

(108) HashAggregate [codegen id : 16]
Input [4]: [channel#130, sales#141, returns#142, profit#143]
Keys [1]: [channel#130]
Functions [3]: [partial_sum(sales#141), partial_sum(returns#142), partial_sum(profit#143)]
Aggregate Attributes [6]: [sum#144, isEmpty#145, sum#146, isEmpty#147, sum#148, isEmpty#149]
Results [7]: [channel#130, sum#150, isEmpty#151, sum#152, isEmpty#153, sum#154, isEmpty#155]

(109) CometColumnarExchange
Input [7]: [channel#130, sum#150, isEmpty#151, sum#152, isEmpty#153, sum#154, isEmpty#155]
Arguments: hashpartitioning(channel#130, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11]

(110) CometColumnarToRow [codegen id : 17]
Input [7]: [channel#130, sum#150, isEmpty#151, sum#152, isEmpty#153, sum#154, isEmpty#155]

(111) HashAggregate [codegen id : 17]
Input [7]: [channel#130, sum#150, isEmpty#151, sum#152, isEmpty#153, sum#154, isEmpty#155]
Keys [1]: [channel#130]
Functions [3]: [sum(sales#141), sum(returns#142), sum(profit#143)]
Aggregate Attributes [3]: [sum(sales#141)#156, sum(returns#142)#157, sum(profit#143)#158]
Results [5]: [channel#130, null AS id#159, sum(sales#141)#156 AS sales#160, sum(returns#142)#157 AS returns#161, sum(profit#143)#158 AS profit#162]

(112) ReusedExchange [Reuses operator id: 102]
Output [8]: [channel#163, id#164, sum#165, isEmpty#166, sum#167, isEmpty#168, sum#169, isEmpty#170]

(113) CometColumnarToRow [codegen id : 25]
Input [8]: [channel#163, id#164, sum#165, isEmpty#166, sum#167, isEmpty#168, sum#169, isEmpty#170]

(114) HashAggregate [codegen id : 25]
Input [8]: [channel#163, id#164, sum#165, isEmpty#166, sum#167, isEmpty#168, sum#169, isEmpty#170]
Keys [2]: [channel#163, id#164]
Functions [3]: [sum(sales#171), sum(returns#172), sum(profit#173)]
Aggregate Attributes [3]: [sum(sales#171)#124, sum(returns#172)#125, sum(profit#173)#126]
Results [3]: [sum(sales#171)#124 AS sales#174, sum(returns#172)#125 AS returns#175, sum(profit#173)#126 AS profit#176]

(115) HashAggregate [codegen id : 25]
Input [3]: [sales#174, returns#175, profit#176]
Keys: []
Functions [3]: [partial_sum(sales#174), partial_sum(returns#175), partial_sum(profit#176)]
Aggregate Attributes [6]: [sum#177, isEmpty#178, sum#179, isEmpty#180, sum#181, isEmpty#182]
Results [6]: [sum#183, isEmpty#184, sum#185, isEmpty#186, sum#187, isEmpty#188]

(116) CometColumnarExchange
Input [6]: [sum#183, isEmpty#184, sum#185, isEmpty#186, sum#187, isEmpty#188]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12]

(117) CometColumnarToRow [codegen id : 26]
Input [6]: [sum#183, isEmpty#184, sum#185, isEmpty#186, sum#187, isEmpty#188]

(118) HashAggregate [codegen id : 26]
Input [6]: [sum#183, isEmpty#184, sum#185, isEmpty#186, sum#187, isEmpty#188]
Keys: []
Functions [3]: [sum(sales#174), sum(returns#175), sum(profit#176)]
Aggregate Attributes [3]: [sum(sales#174)#189, sum(returns#175)#190, sum(profit#176)#191]
Results [5]: [null AS channel#192, null AS id#193, sum(sales#174)#189 AS sales#194, sum(returns#175)#190 AS returns#195, sum(profit#176)#191 AS profit#196]

(119) Union

(120) HashAggregate [codegen id : 27]
Input [5]: [channel#35, id#36, sales#127, returns#128, profit#129]
Keys [5]: [channel#35, id#36, sales#127, returns#128, profit#129]
Functions: []
Aggregate Attributes: []
Results [5]: [channel#35, id#36, sales#127, returns#128, profit#129]

(121) CometColumnarExchange
Input [5]: [channel#35, id#36, sales#127, returns#128, profit#129]
Arguments: hashpartitioning(channel#35, id#36, sales#127, returns#128, profit#129, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13]

(122) CometHashAggregate
Input [5]: [channel#35, id#36, sales#127, returns#128, profit#129]
Keys [5]: [channel#35, id#36, sales#127, returns#128, profit#129]
Functions: []

(123) CometTakeOrderedAndProject
Input [5]: [channel#35, id#36, sales#127, returns#128, profit#129]
Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#35 ASC NULLS FIRST,id#36 ASC NULLS FIRST], output=[channel#35,id#36,sales#127,returns#128,profit#129]), [channel#35, id#36, sales#127, returns#128, profit#129], 100, [channel#35 ASC NULLS FIRST, id#36 ASC NULLS FIRST], [channel#35, id#36, sales#127, returns#128, profit#129]

(124) CometColumnarToRow [codegen id : 28]
Input [5]: [channel#35, id#36, sales#127, returns#128, profit#129]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#7 IN dynamicpruning#8
BroadcastExchange (129)
+- * CometColumnarToRow (128)
   +- CometProject (127)
      +- CometFilter (126)
         +- CometScan parquet spark_catalog.default.date_dim (125)


(125) CometScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#14, d_date#15]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1998-08-04), LessThanOrEqual(d_date,1998-09-03), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(126) CometFilter
Input [2]: [d_date_sk#14, d_date#15]
Condition : (((isnotnull(d_date#15) AND (d_date#15 >= 1998-08-04)) AND (d_date#15 <= 1998-09-03)) AND isnotnull(d_date_sk#14))

(127) CometProject
Input [2]: [d_date_sk#14, d_date#15]
Arguments: [d_date_sk#14], [d_date_sk#14]

(128) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#14]

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

Subquery:2 Hosting operator id = 40 Hosting Expression = cs_sold_date_sk#46 IN dynamicpruning#8

Subquery:3 Hosting operator id = 70 Hosting Expression = ws_sold_date_sk#82 IN dynamicpruning#8


