== Physical Plan ==
TakeOrderedAndProject (28)
+- * HashAggregate (27)
   +- Exchange (26)
      +- * HashAggregate (25)
         +- * ColumnarToRow (24)
            +- CometProject (23)
               +- CometBroadcastHashJoin (22)
                  :- CometProject (17)
                  :  +- CometBroadcastHashJoin (16)
                  :     :- CometProject (12)
                  :     :  +- CometBroadcastHashJoin (11)
                  :     :     :- CometProject (7)
                  :     :     :  +- CometBroadcastHashJoin (6)
                  :     :     :     :- CometFilter (2)
                  :     :     :     :  +- CometNativeScan: `spark_catalog`.`default`.`store_sales` (1)
                  :     :     :     +- CometBroadcastExchange (5)
                  :     :     :        +- CometFilter (4)
                  :     :     :           +- CometNativeScan: `spark_catalog`.`default`.`store_returns` (3)
                  :     :     +- CometBroadcastExchange (10)
                  :     :        +- CometFilter (9)
                  :     :           +- CometNativeScan: `spark_catalog`.`default`.`store` (8)
                  :     +- CometBroadcastExchange (15)
                  :        +- CometFilter (14)
                  :           +- CometNativeScan: `spark_catalog`.`default`.`date_dim` (13)
                  +- CometBroadcastExchange (21)
                     +- CometProject (20)
                        +- CometFilter (19)
                           +- CometNativeScan: `spark_catalog`.`default`.`date_dim` (18)


(1) CometNativeScan: `spark_catalog`.`default`.`store_sales`
Output [5]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_sold_date_sk#5]
Arguments: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_sold_date_sk#5]

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

(3) CometNativeScan: `spark_catalog`.`default`.`store_returns`
Output [4]: [sr_item_sk#6, sr_customer_sk#7, sr_ticket_number#8, sr_returned_date_sk#9]
Arguments: [sr_item_sk#6, sr_customer_sk#7, sr_ticket_number#8, sr_returned_date_sk#9]

(4) CometFilter
Input [4]: [sr_item_sk#6, sr_customer_sk#7, sr_ticket_number#8, sr_returned_date_sk#9]
Condition : ((isnotnull(sr_ticket_number#8) AND isnotnull(sr_item_sk#6)) AND isnotnull(sr_customer_sk#7))

(5) CometBroadcastExchange
Input [4]: [sr_item_sk#6, sr_customer_sk#7, sr_ticket_number#8, sr_returned_date_sk#9]
Arguments: [sr_item_sk#6, sr_customer_sk#7, sr_ticket_number#8, sr_returned_date_sk#9]

(6) CometBroadcastHashJoin
Left output [5]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_sold_date_sk#5]
Right output [4]: [sr_item_sk#6, sr_customer_sk#7, sr_ticket_number#8, sr_returned_date_sk#9]
Arguments: [ss_ticket_number#4, ss_item_sk#1, ss_customer_sk#2], [sr_ticket_number#8, sr_item_sk#6, sr_customer_sk#7], Inner, BuildRight

(7) CometProject
Input [9]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_sold_date_sk#5, sr_item_sk#6, sr_customer_sk#7, sr_ticket_number#8, sr_returned_date_sk#9]
Arguments: [ss_store_sk#3, ss_sold_date_sk#5, sr_returned_date_sk#9], [ss_store_sk#3, ss_sold_date_sk#5, sr_returned_date_sk#9]

(8) CometNativeScan: `spark_catalog`.`default`.`store`
Output [11]: [s_store_sk#10, s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20]
Arguments: [s_store_sk#10, s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20]

(9) CometFilter
Input [11]: [s_store_sk#10, s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20]
Condition : isnotnull(s_store_sk#10)

(10) CometBroadcastExchange
Input [11]: [s_store_sk#10, s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20]
Arguments: [s_store_sk#10, s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20]

(11) CometBroadcastHashJoin
Left output [3]: [ss_store_sk#3, ss_sold_date_sk#5, sr_returned_date_sk#9]
Right output [11]: [s_store_sk#10, s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20]
Arguments: [ss_store_sk#3], [s_store_sk#10], Inner, BuildRight

(12) CometProject
Input [14]: [ss_store_sk#3, ss_sold_date_sk#5, sr_returned_date_sk#9, s_store_sk#10, s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20]
Arguments: [ss_sold_date_sk#5, sr_returned_date_sk#9, s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20], [ss_sold_date_sk#5, sr_returned_date_sk#9, s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20]

(13) CometNativeScan: `spark_catalog`.`default`.`date_dim`
Output [1]: [d_date_sk#21]
Arguments: [d_date_sk#21]

(14) CometFilter
Input [1]: [d_date_sk#21]
Condition : isnotnull(d_date_sk#21)

(15) CometBroadcastExchange
Input [1]: [d_date_sk#21]
Arguments: [d_date_sk#21]

(16) CometBroadcastHashJoin
Left output [12]: [ss_sold_date_sk#5, sr_returned_date_sk#9, s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20]
Right output [1]: [d_date_sk#21]
Arguments: [ss_sold_date_sk#5], [d_date_sk#21], Inner, BuildRight

(17) CometProject
Input [13]: [ss_sold_date_sk#5, sr_returned_date_sk#9, s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20, d_date_sk#21]
Arguments: [ss_sold_date_sk#5, sr_returned_date_sk#9, s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20], [ss_sold_date_sk#5, sr_returned_date_sk#9, s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20]

(18) CometNativeScan: `spark_catalog`.`default`.`date_dim`
Output [3]: [d_date_sk#22, d_year#23, d_moy#24]
Arguments: [d_date_sk#22, d_year#23, d_moy#24]

(19) CometFilter
Input [3]: [d_date_sk#22, d_year#23, d_moy#24]
Condition : ((((isnotnull(d_year#23) AND isnotnull(d_moy#24)) AND (d_year#23 = 2001)) AND (d_moy#24 = 8)) AND isnotnull(d_date_sk#22))

(20) CometProject
Input [3]: [d_date_sk#22, d_year#23, d_moy#24]
Arguments: [d_date_sk#22], [d_date_sk#22]

(21) CometBroadcastExchange
Input [1]: [d_date_sk#22]
Arguments: [d_date_sk#22]

(22) CometBroadcastHashJoin
Left output [12]: [ss_sold_date_sk#5, sr_returned_date_sk#9, s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20]
Right output [1]: [d_date_sk#22]
Arguments: [sr_returned_date_sk#9], [d_date_sk#22], Inner, BuildRight

(23) CometProject
Input [13]: [ss_sold_date_sk#5, sr_returned_date_sk#9, s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20, d_date_sk#22]
Arguments: [ss_sold_date_sk#5, sr_returned_date_sk#9, s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20], [ss_sold_date_sk#5, sr_returned_date_sk#9, s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20]

(24) ColumnarToRow [codegen id : 1]
Input [12]: [ss_sold_date_sk#5, sr_returned_date_sk#9, s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20]

(25) HashAggregate [codegen id : 1]
Input [12]: [ss_sold_date_sk#5, sr_returned_date_sk#9, s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20]
Keys [10]: [s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20]
Functions [5]: [partial_sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END), partial_sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 30) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END), partial_sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 60) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END), partial_sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 90) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END), partial_sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)]
Aggregate Attributes [5]: [sum#25, sum#26, sum#27, sum#28, sum#29]
Results [15]: [s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20, sum#30, sum#31, sum#32, sum#33, sum#34]

(26) Exchange
Input [15]: [s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20, sum#30, sum#31, sum#32, sum#33, sum#34]
Arguments: hashpartitioning(s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20, 5), ENSURE_REQUIREMENTS, [plan_id=1]

(27) HashAggregate [codegen id : 2]
Input [15]: [s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20, sum#30, sum#31, sum#32, sum#33, sum#34]
Keys [10]: [s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20]
Functions [5]: [sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END), sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 30) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END), sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 60) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END), sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 90) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END), sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)]
Aggregate Attributes [5]: [sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END)#35, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 30) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END)#36, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 60) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END)#37, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 90) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END)#38, sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)#39]
Results [15]: [s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20, sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END)#35 AS 30 days #40, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 30) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END)#36 AS 31 - 60 days #41, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 60) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END)#37 AS 61 - 90 days #42, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 90) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END)#38 AS 91 - 120 days #43, sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)#39 AS >120 days #44]

(28) TakeOrderedAndProject
Input [15]: [s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20, 30 days #40, 31 - 60 days #41, 61 - 90 days #42, 91 - 120 days #43, >120 days #44]
Arguments: 100, [s_store_name#11 ASC NULLS FIRST, s_company_id#12 ASC NULLS FIRST, s_street_number#13 ASC NULLS FIRST, s_street_name#14 ASC NULLS FIRST, s_street_type#15 ASC NULLS FIRST, s_suite_number#16 ASC NULLS FIRST, s_city#17 ASC NULLS FIRST, s_county#18 ASC NULLS FIRST, s_state#19 ASC NULLS FIRST, s_zip#20 ASC NULLS FIRST], [s_store_name#11, s_company_id#12, s_street_number#13, s_street_name#14, s_street_type#15, s_suite_number#16, s_city#17, s_county#18, s_state#19, s_zip#20, 30 days #40, 31 - 60 days #41, 61 - 90 days #42, 91 - 120 days #43, >120 days #44]

