== Physical Plan ==
* ColumnarToRow (50)
+- CometSort (49)
   +- CometColumnarExchange (48)
      +- RowToColumnar (47)
         +- * Filter (46)
            +- * HashAggregate (45)
               +- * ColumnarToRow (44)
                  +- CometColumnarExchange (43)
                     +- RowToColumnar (42)
                        +- * HashAggregate (41)
                           +- * HashAggregate (40)
                              +- * ColumnarToRow (39)
                                 +- CometColumnarExchange (38)
                                    +- RowToColumnar (37)
                                       +- * HashAggregate (36)
                                          +- * Project (35)
                                             +- * BroadcastHashJoin Inner BuildRight (34)
                                                :- * ColumnarToRow (29)
                                                :  +- CometProject (28)
                                                :     +- CometBroadcastHashJoin (27)
                                                :        :- CometProject (23)
                                                :        :  +- CometBroadcastHashJoin (22)
                                                :        :     :- CometProject (18)
                                                :        :     :  +- CometBroadcastHashJoin (17)
                                                :        :     :     :- CometProject (12)
                                                :        :     :     :  +- CometSortMergeJoin (11)
                                                :        :     :     :     :- CometSort (5)
                                                :        :     :     :     :  +- CometColumnarExchange (4)
                                                :        :     :     :     :     +- CometProject (3)
                                                :        :     :     :     :        +- CometFilter (2)
                                                :        :     :     :     :           +- CometScan parquet spark_catalog.default.store_sales (1)
                                                :        :     :     :     +- CometSort (10)
                                                :        :     :     :        +- CometColumnarExchange (9)
                                                :        :     :     :           +- CometProject (8)
                                                :        :     :     :              +- CometFilter (7)
                                                :        :     :     :                 +- CometScan parquet spark_catalog.default.store_returns (6)
                                                :        :     :     +- CometBroadcastExchange (16)
                                                :        :     :        +- CometProject (15)
                                                :        :     :           +- CometFilter (14)
                                                :        :     :              +- CometScan parquet spark_catalog.default.store (13)
                                                :        :     +- CometBroadcastExchange (21)
                                                :        :        +- CometFilter (20)
                                                :        :           +- CometScan parquet spark_catalog.default.item (19)
                                                :        +- CometBroadcastExchange (26)
                                                :           +- CometFilter (25)
                                                :              +- CometScan parquet spark_catalog.default.customer (24)
                                                +- BroadcastExchange (33)
                                                   +- * ColumnarToRow (32)
                                                      +- CometFilter (31)
                                                         +- CometScan parquet spark_catalog.default.customer_address (30)


(1) Scan parquet spark_catalog.default.store_sales
Output [6]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_paid#5, ss_sold_date_sk#6]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store_sales]
PushedFilters: [IsNotNull(ss_ticket_number), IsNotNull(ss_item_sk), IsNotNull(ss_store_sk), IsNotNull(ss_customer_sk)]
ReadSchema: struct<ss_item_sk:int,ss_customer_sk:int,ss_store_sk:int,ss_ticket_number:int,ss_net_paid:decimal(7,2)>

(2) CometFilter
Input [6]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_paid#5, ss_sold_date_sk#6]
Condition : (((isnotnull(ss_ticket_number#4) AND isnotnull(ss_item_sk#1)) AND isnotnull(ss_store_sk#3)) AND isnotnull(ss_customer_sk#2))

(3) CometProject
Input [6]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_paid#5, ss_sold_date_sk#6]
Arguments: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_paid#5], [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_paid#5]

(4) CometColumnarExchange
Input [5]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_paid#5]
Arguments: hashpartitioning(ss_ticket_number#4, ss_item_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1]

(5) CometSort
Input [5]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_paid#5]
Arguments: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_paid#5], [ss_ticket_number#4 ASC NULLS FIRST, ss_item_sk#1 ASC NULLS FIRST]

(6) Scan parquet spark_catalog.default.store_returns
Output [3]: [sr_item_sk#7, sr_ticket_number#8, sr_returned_date_sk#9]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store_returns]
PushedFilters: [IsNotNull(sr_ticket_number), IsNotNull(sr_item_sk)]
ReadSchema: struct<sr_item_sk:int,sr_ticket_number:int>

(7) CometFilter
Input [3]: [sr_item_sk#7, sr_ticket_number#8, sr_returned_date_sk#9]
Condition : (isnotnull(sr_ticket_number#8) AND isnotnull(sr_item_sk#7))

(8) CometProject
Input [3]: [sr_item_sk#7, sr_ticket_number#8, sr_returned_date_sk#9]
Arguments: [sr_item_sk#7, sr_ticket_number#8], [sr_item_sk#7, sr_ticket_number#8]

(9) CometColumnarExchange
Input [2]: [sr_item_sk#7, sr_ticket_number#8]
Arguments: hashpartitioning(sr_ticket_number#8, sr_item_sk#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2]

(10) CometSort
Input [2]: [sr_item_sk#7, sr_ticket_number#8]
Arguments: [sr_item_sk#7, sr_ticket_number#8], [sr_ticket_number#8 ASC NULLS FIRST, sr_item_sk#7 ASC NULLS FIRST]

(11) CometSortMergeJoin
Left output [5]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_paid#5]
Right output [2]: [sr_item_sk#7, sr_ticket_number#8]
Arguments: [ss_ticket_number#4, ss_item_sk#1], [sr_ticket_number#8, sr_item_sk#7], Inner

(12) CometProject
Input [7]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_paid#5, sr_item_sk#7, sr_ticket_number#8]
Arguments: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_net_paid#5], [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_net_paid#5]

(13) Scan parquet spark_catalog.default.store
Output [5]: [s_store_sk#10, s_store_name#11, s_market_id#12, s_state#13, s_zip#14]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_market_id), EqualTo(s_market_id,8), IsNotNull(s_store_sk), IsNotNull(s_zip)]
ReadSchema: struct<s_store_sk:int,s_store_name:string,s_market_id:int,s_state:string,s_zip:string>

(14) CometFilter
Input [5]: [s_store_sk#10, s_store_name#11, s_market_id#12, s_state#13, s_zip#14]
Condition : (((isnotnull(s_market_id#12) AND (s_market_id#12 = 8)) AND isnotnull(s_store_sk#10)) AND isnotnull(s_zip#14))

(15) CometProject
Input [5]: [s_store_sk#10, s_store_name#11, s_market_id#12, s_state#13, s_zip#14]
Arguments: [s_store_sk#10, s_store_name#11, s_state#13, s_zip#14], [s_store_sk#10, s_store_name#11, s_state#13, s_zip#14]

(16) CometBroadcastExchange
Input [4]: [s_store_sk#10, s_store_name#11, s_state#13, s_zip#14]
Arguments: [s_store_sk#10, s_store_name#11, s_state#13, s_zip#14]

(17) CometBroadcastHashJoin
Left output [4]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_net_paid#5]
Right output [4]: [s_store_sk#10, s_store_name#11, s_state#13, s_zip#14]
Arguments: [ss_store_sk#3], [s_store_sk#10], Inner, BuildRight

(18) CometProject
Input [8]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_net_paid#5, s_store_sk#10, s_store_name#11, s_state#13, s_zip#14]
Arguments: [ss_item_sk#1, ss_customer_sk#2, ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14], [ss_item_sk#1, ss_customer_sk#2, ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14]

(19) Scan parquet spark_catalog.default.item
Output [6]: [i_item_sk#15, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_color), EqualTo(i_color,pale                ), IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_current_price:decimal(7,2),i_size:string,i_color:string,i_units:string,i_manager_id:int>

(20) CometFilter
Input [6]: [i_item_sk#15, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20]
Condition : ((isnotnull(i_color#18) AND (i_color#18 = pale                )) AND isnotnull(i_item_sk#15))

(21) CometBroadcastExchange
Input [6]: [i_item_sk#15, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20]
Arguments: [i_item_sk#15, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20]

(22) CometBroadcastHashJoin
Left output [6]: [ss_item_sk#1, ss_customer_sk#2, ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14]
Right output [6]: [i_item_sk#15, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20]
Arguments: [ss_item_sk#1], [i_item_sk#15], Inner, BuildRight

(23) CometProject
Input [12]: [ss_item_sk#1, ss_customer_sk#2, ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14, i_item_sk#15, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20]
Arguments: [ss_customer_sk#2, ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20], [ss_customer_sk#2, ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20]

(24) Scan parquet spark_catalog.default.customer
Output [5]: [c_customer_sk#21, c_current_addr_sk#22, c_first_name#23, c_last_name#24, c_birth_country#25]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer]
PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk), IsNotNull(c_birth_country)]
ReadSchema: struct<c_customer_sk:int,c_current_addr_sk:int,c_first_name:string,c_last_name:string,c_birth_country:string>

(25) CometFilter
Input [5]: [c_customer_sk#21, c_current_addr_sk#22, c_first_name#23, c_last_name#24, c_birth_country#25]
Condition : ((isnotnull(c_customer_sk#21) AND isnotnull(c_current_addr_sk#22)) AND isnotnull(c_birth_country#25))

(26) CometBroadcastExchange
Input [5]: [c_customer_sk#21, c_current_addr_sk#22, c_first_name#23, c_last_name#24, c_birth_country#25]
Arguments: [c_customer_sk#21, c_current_addr_sk#22, c_first_name#23, c_last_name#24, c_birth_country#25]

(27) CometBroadcastHashJoin
Left output [10]: [ss_customer_sk#2, ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20]
Right output [5]: [c_customer_sk#21, c_current_addr_sk#22, c_first_name#23, c_last_name#24, c_birth_country#25]
Arguments: [ss_customer_sk#2], [c_customer_sk#21], Inner, BuildRight

(28) CometProject
Input [15]: [ss_customer_sk#2, ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20, c_customer_sk#21, c_current_addr_sk#22, c_first_name#23, c_last_name#24, c_birth_country#25]
Arguments: [ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20, c_current_addr_sk#22, c_first_name#23, c_last_name#24, c_birth_country#25], [ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20, c_current_addr_sk#22, c_first_name#23, c_last_name#24, c_birth_country#25]

(29) ColumnarToRow [codegen id : 2]
Input [13]: [ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20, c_current_addr_sk#22, c_first_name#23, c_last_name#24, c_birth_country#25]

(30) Scan parquet spark_catalog.default.customer_address
Output [4]: [ca_address_sk#26, ca_state#27, ca_zip#28, ca_country#29]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_address_sk), IsNotNull(ca_country), IsNotNull(ca_zip)]
ReadSchema: struct<ca_address_sk:int,ca_state:string,ca_zip:string,ca_country:string>

(31) CometFilter
Input [4]: [ca_address_sk#26, ca_state#27, ca_zip#28, ca_country#29]
Condition : ((isnotnull(ca_address_sk#26) AND isnotnull(ca_country#29)) AND isnotnull(ca_zip#28))

(32) ColumnarToRow [codegen id : 1]
Input [4]: [ca_address_sk#26, ca_state#27, ca_zip#28, ca_country#29]

(33) BroadcastExchange
Input [4]: [ca_address_sk#26, ca_state#27, ca_zip#28, ca_country#29]
Arguments: HashedRelationBroadcastMode(List(input[0, int, false], upper(input[3, string, false]), input[2, string, false]),false), [plan_id=3]

(34) BroadcastHashJoin [codegen id : 2]
Left keys [3]: [c_current_addr_sk#22, c_birth_country#25, s_zip#14]
Right keys [3]: [ca_address_sk#26, upper(ca_country#29), ca_zip#28]
Join type: Inner
Join condition: None

(35) Project [codegen id : 2]
Output [11]: [ss_net_paid#5, s_store_name#11, s_state#13, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20, c_first_name#23, c_last_name#24, ca_state#27]
Input [17]: [ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20, c_current_addr_sk#22, c_first_name#23, c_last_name#24, c_birth_country#25, ca_address_sk#26, ca_state#27, ca_zip#28, ca_country#29]

(36) HashAggregate [codegen id : 2]
Input [11]: [ss_net_paid#5, s_store_name#11, s_state#13, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20, c_first_name#23, c_last_name#24, ca_state#27]
Keys [10]: [c_last_name#24, c_first_name#23, s_store_name#11, ca_state#27, s_state#13, i_color#18, i_current_price#16, i_manager_id#20, i_units#19, i_size#17]
Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#5))]
Aggregate Attributes [1]: [sum#30]
Results [11]: [c_last_name#24, c_first_name#23, s_store_name#11, ca_state#27, s_state#13, i_color#18, i_current_price#16, i_manager_id#20, i_units#19, i_size#17, sum#31]

(37) RowToColumnar
Input [11]: [c_last_name#24, c_first_name#23, s_store_name#11, ca_state#27, s_state#13, i_color#18, i_current_price#16, i_manager_id#20, i_units#19, i_size#17, sum#31]

(38) CometColumnarExchange
Input [11]: [c_last_name#24, c_first_name#23, s_store_name#11, ca_state#27, s_state#13, i_color#18, i_current_price#16, i_manager_id#20, i_units#19, i_size#17, sum#31]
Arguments: hashpartitioning(c_last_name#24, c_first_name#23, s_store_name#11, ca_state#27, s_state#13, i_color#18, i_current_price#16, i_manager_id#20, i_units#19, i_size#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4]

(39) ColumnarToRow [codegen id : 3]
Input [11]: [c_last_name#24, c_first_name#23, s_store_name#11, ca_state#27, s_state#13, i_color#18, i_current_price#16, i_manager_id#20, i_units#19, i_size#17, sum#31]

(40) HashAggregate [codegen id : 3]
Input [11]: [c_last_name#24, c_first_name#23, s_store_name#11, ca_state#27, s_state#13, i_color#18, i_current_price#16, i_manager_id#20, i_units#19, i_size#17, sum#31]
Keys [10]: [c_last_name#24, c_first_name#23, s_store_name#11, ca_state#27, s_state#13, i_color#18, i_current_price#16, i_manager_id#20, i_units#19, i_size#17]
Functions [1]: [sum(UnscaledValue(ss_net_paid#5))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#32]
Results [4]: [c_last_name#24, c_first_name#23, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#32,17,2) AS netpaid#33]

(41) HashAggregate [codegen id : 3]
Input [4]: [c_last_name#24, c_first_name#23, s_store_name#11, netpaid#33]
Keys [3]: [c_last_name#24, c_first_name#23, s_store_name#11]
Functions [1]: [partial_sum(netpaid#33)]
Aggregate Attributes [2]: [sum#34, isEmpty#35]
Results [5]: [c_last_name#24, c_first_name#23, s_store_name#11, sum#36, isEmpty#37]

(42) RowToColumnar
Input [5]: [c_last_name#24, c_first_name#23, s_store_name#11, sum#36, isEmpty#37]

(43) CometColumnarExchange
Input [5]: [c_last_name#24, c_first_name#23, s_store_name#11, sum#36, isEmpty#37]
Arguments: hashpartitioning(c_last_name#24, c_first_name#23, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5]

(44) ColumnarToRow [codegen id : 4]
Input [5]: [c_last_name#24, c_first_name#23, s_store_name#11, sum#36, isEmpty#37]

(45) HashAggregate [codegen id : 4]
Input [5]: [c_last_name#24, c_first_name#23, s_store_name#11, sum#36, isEmpty#37]
Keys [3]: [c_last_name#24, c_first_name#23, s_store_name#11]
Functions [1]: [sum(netpaid#33)]
Aggregate Attributes [1]: [sum(netpaid#33)#38]
Results [4]: [c_last_name#24, c_first_name#23, s_store_name#11, sum(netpaid#33)#38 AS paid#39]

(46) Filter [codegen id : 4]
Input [4]: [c_last_name#24, c_first_name#23, s_store_name#11, paid#39]
Condition : (isnotnull(paid#39) AND (cast(paid#39 as decimal(33,8)) > cast(Subquery scalar-subquery#40, [id=#41] as decimal(33,8))))

(47) RowToColumnar
Input [4]: [c_last_name#24, c_first_name#23, s_store_name#11, paid#39]

(48) CometColumnarExchange
Input [4]: [c_last_name#24, c_first_name#23, s_store_name#11, paid#39]
Arguments: rangepartitioning(c_last_name#24 ASC NULLS FIRST, c_first_name#23 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6]

(49) CometSort
Input [4]: [c_last_name#24, c_first_name#23, s_store_name#11, paid#39]
Arguments: [c_last_name#24, c_first_name#23, s_store_name#11, paid#39], [c_last_name#24 ASC NULLS FIRST, c_first_name#23 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST]

(50) ColumnarToRow [codegen id : 5]
Input [4]: [c_last_name#24, c_first_name#23, s_store_name#11, paid#39]

===== Subqueries =====

Subquery:1 Hosting operator id = 46 Hosting Expression = Subquery scalar-subquery#40, [id=#41]
* HashAggregate (81)
+- * ColumnarToRow (80)
   +- CometColumnarExchange (79)
      +- RowToColumnar (78)
         +- * HashAggregate (77)
            +- * HashAggregate (76)
               +- * ColumnarToRow (75)
                  +- CometColumnarExchange (74)
                     +- RowToColumnar (73)
                        +- * HashAggregate (72)
                           +- * Project (71)
                              +- * BroadcastHashJoin Inner BuildRight (70)
                                 :- * ColumnarToRow (68)
                                 :  +- CometProject (67)
                                 :     +- CometBroadcastHashJoin (66)
                                 :        :- CometProject (64)
                                 :        :  +- CometBroadcastHashJoin (63)
                                 :        :     :- CometProject (59)
                                 :        :     :  +- CometBroadcastHashJoin (58)
                                 :        :     :     :- CometProject (56)
                                 :        :     :     :  +- CometSortMergeJoin (55)
                                 :        :     :     :     :- CometSort (52)
                                 :        :     :     :     :  +- ReusedExchange (51)
                                 :        :     :     :     +- CometSort (54)
                                 :        :     :     :        +- ReusedExchange (53)
                                 :        :     :     +- ReusedExchange (57)
                                 :        :     +- CometBroadcastExchange (62)
                                 :        :        +- CometFilter (61)
                                 :        :           +- CometScan parquet spark_catalog.default.item (60)
                                 :        +- ReusedExchange (65)
                                 +- ReusedExchange (69)


(51) ReusedExchange [Reuses operator id: 4]
Output [5]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_paid#5]

(52) CometSort
Input [5]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_paid#5]
Arguments: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_paid#5], [ss_ticket_number#4 ASC NULLS FIRST, ss_item_sk#1 ASC NULLS FIRST]

(53) ReusedExchange [Reuses operator id: 9]
Output [2]: [sr_item_sk#7, sr_ticket_number#8]

(54) CometSort
Input [2]: [sr_item_sk#7, sr_ticket_number#8]
Arguments: [sr_item_sk#7, sr_ticket_number#8], [sr_ticket_number#8 ASC NULLS FIRST, sr_item_sk#7 ASC NULLS FIRST]

(55) CometSortMergeJoin
Left output [5]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_paid#5]
Right output [2]: [sr_item_sk#7, sr_ticket_number#8]
Arguments: [ss_ticket_number#4, ss_item_sk#1], [sr_ticket_number#8, sr_item_sk#7], Inner

(56) CometProject
Input [7]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_paid#5, sr_item_sk#7, sr_ticket_number#8]
Arguments: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_net_paid#5], [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_net_paid#5]

(57) ReusedExchange [Reuses operator id: 16]
Output [4]: [s_store_sk#10, s_store_name#11, s_state#13, s_zip#14]

(58) CometBroadcastHashJoin
Left output [4]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_net_paid#5]
Right output [4]: [s_store_sk#10, s_store_name#11, s_state#13, s_zip#14]
Arguments: [ss_store_sk#3], [s_store_sk#10], Inner, BuildRight

(59) CometProject
Input [8]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_net_paid#5, s_store_sk#10, s_store_name#11, s_state#13, s_zip#14]
Arguments: [ss_item_sk#1, ss_customer_sk#2, ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14], [ss_item_sk#1, ss_customer_sk#2, ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14]

(60) Scan parquet spark_catalog.default.item
Output [6]: [i_item_sk#15, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_current_price:decimal(7,2),i_size:string,i_color:string,i_units:string,i_manager_id:int>

(61) CometFilter
Input [6]: [i_item_sk#15, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20]
Condition : isnotnull(i_item_sk#15)

(62) CometBroadcastExchange
Input [6]: [i_item_sk#15, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20]
Arguments: [i_item_sk#15, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20]

(63) CometBroadcastHashJoin
Left output [6]: [ss_item_sk#1, ss_customer_sk#2, ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14]
Right output [6]: [i_item_sk#15, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20]
Arguments: [ss_item_sk#1], [i_item_sk#15], Inner, BuildRight

(64) CometProject
Input [12]: [ss_item_sk#1, ss_customer_sk#2, ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14, i_item_sk#15, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20]
Arguments: [ss_customer_sk#2, ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20], [ss_customer_sk#2, ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20]

(65) ReusedExchange [Reuses operator id: 26]
Output [5]: [c_customer_sk#21, c_current_addr_sk#22, c_first_name#23, c_last_name#24, c_birth_country#25]

(66) CometBroadcastHashJoin
Left output [10]: [ss_customer_sk#2, ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20]
Right output [5]: [c_customer_sk#21, c_current_addr_sk#22, c_first_name#23, c_last_name#24, c_birth_country#25]
Arguments: [ss_customer_sk#2], [c_customer_sk#21], Inner, BuildRight

(67) CometProject
Input [15]: [ss_customer_sk#2, ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20, c_customer_sk#21, c_current_addr_sk#22, c_first_name#23, c_last_name#24, c_birth_country#25]
Arguments: [ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20, c_current_addr_sk#22, c_first_name#23, c_last_name#24, c_birth_country#25], [ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20, c_current_addr_sk#22, c_first_name#23, c_last_name#24, c_birth_country#25]

(68) ColumnarToRow [codegen id : 2]
Input [13]: [ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20, c_current_addr_sk#22, c_first_name#23, c_last_name#24, c_birth_country#25]

(69) ReusedExchange [Reuses operator id: 33]
Output [4]: [ca_address_sk#26, ca_state#27, ca_zip#28, ca_country#29]

(70) BroadcastHashJoin [codegen id : 2]
Left keys [3]: [c_current_addr_sk#22, c_birth_country#25, s_zip#14]
Right keys [3]: [ca_address_sk#26, upper(ca_country#29), ca_zip#28]
Join type: Inner
Join condition: None

(71) Project [codegen id : 2]
Output [11]: [ss_net_paid#5, s_store_name#11, s_state#13, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20, c_first_name#23, c_last_name#24, ca_state#27]
Input [17]: [ss_net_paid#5, s_store_name#11, s_state#13, s_zip#14, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20, c_current_addr_sk#22, c_first_name#23, c_last_name#24, c_birth_country#25, ca_address_sk#26, ca_state#27, ca_zip#28, ca_country#29]

(72) HashAggregate [codegen id : 2]
Input [11]: [ss_net_paid#5, s_store_name#11, s_state#13, i_current_price#16, i_size#17, i_color#18, i_units#19, i_manager_id#20, c_first_name#23, c_last_name#24, ca_state#27]
Keys [10]: [c_last_name#24, c_first_name#23, s_store_name#11, ca_state#27, s_state#13, i_color#18, i_current_price#16, i_manager_id#20, i_units#19, i_size#17]
Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#5))]
Aggregate Attributes [1]: [sum#42]
Results [11]: [c_last_name#24, c_first_name#23, s_store_name#11, ca_state#27, s_state#13, i_color#18, i_current_price#16, i_manager_id#20, i_units#19, i_size#17, sum#43]

(73) RowToColumnar
Input [11]: [c_last_name#24, c_first_name#23, s_store_name#11, ca_state#27, s_state#13, i_color#18, i_current_price#16, i_manager_id#20, i_units#19, i_size#17, sum#43]

(74) CometColumnarExchange
Input [11]: [c_last_name#24, c_first_name#23, s_store_name#11, ca_state#27, s_state#13, i_color#18, i_current_price#16, i_manager_id#20, i_units#19, i_size#17, sum#43]
Arguments: hashpartitioning(c_last_name#24, c_first_name#23, s_store_name#11, ca_state#27, s_state#13, i_color#18, i_current_price#16, i_manager_id#20, i_units#19, i_size#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7]

(75) ColumnarToRow [codegen id : 3]
Input [11]: [c_last_name#24, c_first_name#23, s_store_name#11, ca_state#27, s_state#13, i_color#18, i_current_price#16, i_manager_id#20, i_units#19, i_size#17, sum#43]

(76) HashAggregate [codegen id : 3]
Input [11]: [c_last_name#24, c_first_name#23, s_store_name#11, ca_state#27, s_state#13, i_color#18, i_current_price#16, i_manager_id#20, i_units#19, i_size#17, sum#43]
Keys [10]: [c_last_name#24, c_first_name#23, s_store_name#11, ca_state#27, s_state#13, i_color#18, i_current_price#16, i_manager_id#20, i_units#19, i_size#17]
Functions [1]: [sum(UnscaledValue(ss_net_paid#5))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#32]
Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#32,17,2) AS netpaid#33]

(77) HashAggregate [codegen id : 3]
Input [1]: [netpaid#33]
Keys: []
Functions [1]: [partial_avg(netpaid#33)]
Aggregate Attributes [2]: [sum#44, count#45]
Results [2]: [sum#46, count#47]

(78) RowToColumnar
Input [2]: [sum#46, count#47]

(79) CometColumnarExchange
Input [2]: [sum#46, count#47]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8]

(80) ColumnarToRow [codegen id : 4]
Input [2]: [sum#46, count#47]

(81) HashAggregate [codegen id : 4]
Input [2]: [sum#46, count#47]
Keys: []
Functions [1]: [avg(netpaid#33)]
Aggregate Attributes [1]: [avg(netpaid#33)#48]
Results [1]: [(0.05 * avg(netpaid#33)#48) AS (0.05 * avg(netpaid))#49]


