== Physical Plan ==
* ColumnarToRow (47)
+- CometTakeOrderedAndProject (46)
   +- CometProject (45)
      +- CometBroadcastHashJoin (44)
         :- CometProject (40)
         :  +- CometBroadcastHashJoin (39)
         :     :- CometProject (35)
         :     :  +- CometBroadcastHashJoin (34)
         :     :     :- CometFilter (17)
         :     :     :  +- CometHashAggregate (16)
         :     :     :     +- CometColumnarExchange (15)
         :     :     :        +- CometHashAggregate (14)
         :     :     :           +- CometProject (13)
         :     :     :              +- CometBroadcastHashJoin (12)
         :     :     :                 :- CometProject (8)
         :     :     :                 :  +- CometBroadcastHashJoin (7)
         :     :     :                 :     :- CometFilter (2)
         :     :     :                 :     :  +- CometScan parquet spark_catalog.default.catalog_returns (1)
         :     :     :                 :     +- CometBroadcastExchange (6)
         :     :     :                 :        +- CometProject (5)
         :     :     :                 :           +- CometFilter (4)
         :     :     :                 :              +- CometScan parquet spark_catalog.default.date_dim (3)
         :     :     :                 +- CometBroadcastExchange (11)
         :     :     :                    +- CometFilter (10)
         :     :     :                       +- CometScan parquet spark_catalog.default.customer_address (9)
         :     :     +- CometBroadcastExchange (33)
         :     :        +- CometFilter (32)
         :     :           +- CometHashAggregate (31)
         :     :              +- CometColumnarExchange (30)
         :     :                 +- CometHashAggregate (29)
         :     :                    +- CometHashAggregate (28)
         :     :                       +- CometColumnarExchange (27)
         :     :                          +- CometHashAggregate (26)
         :     :                             +- CometProject (25)
         :     :                                +- CometBroadcastHashJoin (24)
         :     :                                   :- CometProject (22)
         :     :                                   :  +- CometBroadcastHashJoin (21)
         :     :                                   :     :- CometFilter (19)
         :     :                                   :     :  +- CometScan parquet spark_catalog.default.catalog_returns (18)
         :     :                                   :     +- ReusedExchange (20)
         :     :                                   +- ReusedExchange (23)
         :     +- CometBroadcastExchange (38)
         :        +- CometFilter (37)
         :           +- CometScan parquet spark_catalog.default.customer (36)
         +- CometBroadcastExchange (43)
            +- CometFilter (42)
               +- CometScan parquet spark_catalog.default.customer_address (41)


(1) Scan parquet spark_catalog.default.catalog_returns
Output [4]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3, cr_returned_date_sk#4]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cr_returned_date_sk#4), dynamicpruningexpression(cr_returned_date_sk#4 IN dynamicpruning#5)]
PushedFilters: [IsNotNull(cr_returning_addr_sk), IsNotNull(cr_returning_customer_sk)]
ReadSchema: struct<cr_returning_customer_sk:int,cr_returning_addr_sk:int,cr_return_amt_inc_tax:decimal(7,2)>

(2) CometFilter
Input [4]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3, cr_returned_date_sk#4]
Condition : (isnotnull(cr_returning_addr_sk#2) AND isnotnull(cr_returning_customer_sk#1))

(3) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#6, d_year#7]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(4) CometFilter
Input [2]: [d_date_sk#6, d_year#7]
Condition : ((isnotnull(d_year#7) AND (d_year#7 = 2000)) AND isnotnull(d_date_sk#6))

(5) CometProject
Input [2]: [d_date_sk#6, d_year#7]
Arguments: [d_date_sk#6], [d_date_sk#6]

(6) CometBroadcastExchange
Input [1]: [d_date_sk#6]
Arguments: [d_date_sk#6]

(7) CometBroadcastHashJoin
Left output [4]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3, cr_returned_date_sk#4]
Right output [1]: [d_date_sk#6]
Arguments: [cr_returned_date_sk#4], [d_date_sk#6], Inner, BuildRight

(8) CometProject
Input [5]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3, cr_returned_date_sk#4, d_date_sk#6]
Arguments: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3], [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3]

(9) Scan parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#8, ca_state#9]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_address_sk), IsNotNull(ca_state)]
ReadSchema: struct<ca_address_sk:int,ca_state:string>

(10) CometFilter
Input [2]: [ca_address_sk#8, ca_state#9]
Condition : (isnotnull(ca_address_sk#8) AND isnotnull(ca_state#9))

(11) CometBroadcastExchange
Input [2]: [ca_address_sk#8, ca_state#9]
Arguments: [ca_address_sk#8, ca_state#9]

(12) CometBroadcastHashJoin
Left output [3]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3]
Right output [2]: [ca_address_sk#8, ca_state#9]
Arguments: [cr_returning_addr_sk#2], [ca_address_sk#8], Inner, BuildRight

(13) CometProject
Input [5]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3, ca_address_sk#8, ca_state#9]
Arguments: [cr_returning_customer_sk#1, cr_return_amt_inc_tax#3, ca_state#9], [cr_returning_customer_sk#1, cr_return_amt_inc_tax#3, ca_state#9]

(14) CometHashAggregate
Input [3]: [cr_returning_customer_sk#1, cr_return_amt_inc_tax#3, ca_state#9]
Keys [2]: [cr_returning_customer_sk#1, ca_state#9]
Functions [1]: [partial_sum(UnscaledValue(cr_return_amt_inc_tax#3))]

(15) CometColumnarExchange
Input [3]: [cr_returning_customer_sk#1, ca_state#9, sum#10]
Arguments: hashpartitioning(cr_returning_customer_sk#1, ca_state#9, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1]

(16) CometHashAggregate
Input [3]: [cr_returning_customer_sk#1, ca_state#9, sum#10]
Keys [2]: [cr_returning_customer_sk#1, ca_state#9]
Functions [1]: [sum(UnscaledValue(cr_return_amt_inc_tax#3))]

(17) CometFilter
Input [3]: [ctr_customer_sk#11, ctr_state#12, ctr_total_return#13]
Condition : isnotnull(ctr_total_return#13)

(18) Scan parquet spark_catalog.default.catalog_returns
Output [4]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3, cr_returned_date_sk#4]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cr_returned_date_sk#4), dynamicpruningexpression(cr_returned_date_sk#4 IN dynamicpruning#14)]
PushedFilters: [IsNotNull(cr_returning_addr_sk)]
ReadSchema: struct<cr_returning_customer_sk:int,cr_returning_addr_sk:int,cr_return_amt_inc_tax:decimal(7,2)>

(19) CometFilter
Input [4]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3, cr_returned_date_sk#4]
Condition : isnotnull(cr_returning_addr_sk#2)

(20) ReusedExchange [Reuses operator id: 6]
Output [1]: [d_date_sk#6]

(21) CometBroadcastHashJoin
Left output [4]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3, cr_returned_date_sk#4]
Right output [1]: [d_date_sk#6]
Arguments: [cr_returned_date_sk#4], [d_date_sk#6], Inner, BuildRight

(22) CometProject
Input [5]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3, cr_returned_date_sk#4, d_date_sk#6]
Arguments: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3], [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3]

(23) ReusedExchange [Reuses operator id: 11]
Output [2]: [ca_address_sk#8, ca_state#9]

(24) CometBroadcastHashJoin
Left output [3]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3]
Right output [2]: [ca_address_sk#8, ca_state#9]
Arguments: [cr_returning_addr_sk#2], [ca_address_sk#8], Inner, BuildRight

(25) CometProject
Input [5]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3, ca_address_sk#8, ca_state#9]
Arguments: [cr_returning_customer_sk#1, cr_return_amt_inc_tax#3, ca_state#9], [cr_returning_customer_sk#1, cr_return_amt_inc_tax#3, ca_state#9]

(26) CometHashAggregate
Input [3]: [cr_returning_customer_sk#1, cr_return_amt_inc_tax#3, ca_state#9]
Keys [2]: [cr_returning_customer_sk#1, ca_state#9]
Functions [1]: [partial_sum(UnscaledValue(cr_return_amt_inc_tax#3))]

(27) CometColumnarExchange
Input [3]: [cr_returning_customer_sk#1, ca_state#9, sum#15]
Arguments: hashpartitioning(cr_returning_customer_sk#1, ca_state#9, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2]

(28) CometHashAggregate
Input [3]: [cr_returning_customer_sk#1, ca_state#9, sum#15]
Keys [2]: [cr_returning_customer_sk#1, ca_state#9]
Functions [1]: [sum(UnscaledValue(cr_return_amt_inc_tax#3))]

(29) CometHashAggregate
Input [2]: [ctr_state#12, ctr_total_return#13]
Keys [1]: [ctr_state#12]
Functions [1]: [partial_avg(ctr_total_return#13)]

(30) CometColumnarExchange
Input [3]: [ctr_state#12, sum#16, count#17]
Arguments: hashpartitioning(ctr_state#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3]

(31) CometHashAggregate
Input [3]: [ctr_state#12, sum#16, count#17]
Keys [1]: [ctr_state#12]
Functions [1]: [avg(ctr_total_return#13)]

(32) CometFilter
Input [2]: [(avg(ctr_total_return) * 1.2)#18, ctr_state#12#19]
Condition : isnotnull((avg(ctr_total_return) * 1.2)#18)

(33) CometBroadcastExchange
Input [2]: [(avg(ctr_total_return) * 1.2)#18, ctr_state#12#19]
Arguments: [(avg(ctr_total_return) * 1.2)#18, ctr_state#12#19]

(34) CometBroadcastHashJoin
Left output [3]: [ctr_customer_sk#11, ctr_state#12, ctr_total_return#13]
Right output [2]: [(avg(ctr_total_return) * 1.2)#18, ctr_state#12#19]
Arguments: [ctr_state#12], [ctr_state#12#19], Inner, (cast(ctr_total_return#13 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#18), BuildRight

(35) CometProject
Input [5]: [ctr_customer_sk#11, ctr_state#12, ctr_total_return#13, (avg(ctr_total_return) * 1.2)#18, ctr_state#12#19]
Arguments: [ctr_customer_sk#11, ctr_total_return#13], [ctr_customer_sk#11, ctr_total_return#13]

(36) Scan parquet spark_catalog.default.customer
Output [6]: [c_customer_sk#20, c_customer_id#21, c_current_addr_sk#22, c_salutation#23, c_first_name#24, c_last_name#25]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer]
PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk)]
ReadSchema: struct<c_customer_sk:int,c_customer_id:string,c_current_addr_sk:int,c_salutation:string,c_first_name:string,c_last_name:string>

(37) CometFilter
Input [6]: [c_customer_sk#20, c_customer_id#21, c_current_addr_sk#22, c_salutation#23, c_first_name#24, c_last_name#25]
Condition : (isnotnull(c_customer_sk#20) AND isnotnull(c_current_addr_sk#22))

(38) CometBroadcastExchange
Input [6]: [c_customer_sk#20, c_customer_id#21, c_current_addr_sk#22, c_salutation#23, c_first_name#24, c_last_name#25]
Arguments: [c_customer_sk#20, c_customer_id#21, c_current_addr_sk#22, c_salutation#23, c_first_name#24, c_last_name#25]

(39) CometBroadcastHashJoin
Left output [2]: [ctr_customer_sk#11, ctr_total_return#13]
Right output [6]: [c_customer_sk#20, c_customer_id#21, c_current_addr_sk#22, c_salutation#23, c_first_name#24, c_last_name#25]
Arguments: [ctr_customer_sk#11], [c_customer_sk#20], Inner, BuildRight

(40) CometProject
Input [8]: [ctr_customer_sk#11, ctr_total_return#13, c_customer_sk#20, c_customer_id#21, c_current_addr_sk#22, c_salutation#23, c_first_name#24, c_last_name#25]
Arguments: [ctr_total_return#13, c_customer_id#21, c_current_addr_sk#22, c_salutation#23, c_first_name#24, c_last_name#25], [ctr_total_return#13, c_customer_id#21, c_current_addr_sk#22, c_salutation#23, c_first_name#24, c_last_name#25]

(41) Scan parquet spark_catalog.default.customer_address
Output [12]: [ca_address_sk#26, ca_street_number#27, ca_street_name#28, ca_street_type#29, ca_suite_number#30, ca_city#31, ca_county#32, ca_state#33, ca_zip#34, ca_country#35, ca_gmt_offset#36, ca_location_type#37]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_state), EqualTo(ca_state,GA), IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_street_number:string,ca_street_name:string,ca_street_type:string,ca_suite_number:string,ca_city:string,ca_county:string,ca_state:string,ca_zip:string,ca_country:string,ca_gmt_offset:decimal(5,2),ca_location_type:string>

(42) CometFilter
Input [12]: [ca_address_sk#26, ca_street_number#27, ca_street_name#28, ca_street_type#29, ca_suite_number#30, ca_city#31, ca_county#32, ca_state#33, ca_zip#34, ca_country#35, ca_gmt_offset#36, ca_location_type#37]
Condition : ((isnotnull(ca_state#33) AND (ca_state#33 = GA)) AND isnotnull(ca_address_sk#26))

(43) CometBroadcastExchange
Input [12]: [ca_address_sk#26, ca_street_number#27, ca_street_name#28, ca_street_type#29, ca_suite_number#30, ca_city#31, ca_county#32, ca_state#33, ca_zip#34, ca_country#35, ca_gmt_offset#36, ca_location_type#37]
Arguments: [ca_address_sk#26, ca_street_number#27, ca_street_name#28, ca_street_type#29, ca_suite_number#30, ca_city#31, ca_county#32, ca_state#33, ca_zip#34, ca_country#35, ca_gmt_offset#36, ca_location_type#37]

(44) CometBroadcastHashJoin
Left output [6]: [ctr_total_return#13, c_customer_id#21, c_current_addr_sk#22, c_salutation#23, c_first_name#24, c_last_name#25]
Right output [12]: [ca_address_sk#26, ca_street_number#27, ca_street_name#28, ca_street_type#29, ca_suite_number#30, ca_city#31, ca_county#32, ca_state#33, ca_zip#34, ca_country#35, ca_gmt_offset#36, ca_location_type#37]
Arguments: [c_current_addr_sk#22], [ca_address_sk#26], Inner, BuildRight

(45) CometProject
Input [18]: [ctr_total_return#13, c_customer_id#21, c_current_addr_sk#22, c_salutation#23, c_first_name#24, c_last_name#25, ca_address_sk#26, ca_street_number#27, ca_street_name#28, ca_street_type#29, ca_suite_number#30, ca_city#31, ca_county#32, ca_state#33, ca_zip#34, ca_country#35, ca_gmt_offset#36, ca_location_type#37]
Arguments: [c_customer_id#21, c_salutation#23, c_first_name#24, c_last_name#25, ca_street_number#27, ca_street_name#28, ca_street_type#29, ca_suite_number#30, ca_city#31, ca_county#32, ca_state#33, ca_zip#34, ca_country#35, ca_gmt_offset#36, ca_location_type#37, ctr_total_return#13], [c_customer_id#21, c_salutation#23, c_first_name#24, c_last_name#25, ca_street_number#27, ca_street_name#28, ca_street_type#29, ca_suite_number#30, ca_city#31, ca_county#32, ca_state#33, ca_zip#34, ca_country#35, ca_gmt_offset#36, ca_location_type#37, ctr_total_return#13]

(46) CometTakeOrderedAndProject
Input [16]: [c_customer_id#21, c_salutation#23, c_first_name#24, c_last_name#25, ca_street_number#27, ca_street_name#28, ca_street_type#29, ca_suite_number#30, ca_city#31, ca_county#32, ca_state#33, ca_zip#34, ca_country#35, ca_gmt_offset#36, ca_location_type#37, ctr_total_return#13]
Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_customer_id#21 ASC NULLS FIRST,c_salutation#23 ASC NULLS FIRST,c_first_name#24 ASC NULLS FIRST,c_last_name#25 ASC NULLS FIRST,ca_street_number#27 ASC NULLS FIRST,ca_street_name#28 ASC NULLS FIRST,ca_street_type#29 ASC NULLS FIRST,ca_suite_number#30 ASC NULLS FIRST,ca_city#31 ASC NULLS FIRST,ca_county#32 ASC NULLS FIRST,ca_state#33 ASC NULLS FIRST,ca_zip#34 ASC NULLS FIRST,ca_country#35 ASC NULLS FIRST,ca_gmt_offset#36 ASC NULLS FIRST,ca_location_type#37 ASC NULLS FIRST,ctr_total_return#13 ASC NULLS FIRST], output=[c_customer_id#21,c_salutation#23,c_first_name#24,c_last_name#25,ca_street_number#27,ca_street_name#28,ca_street_type#29,ca_suite_number#30,ca_city#31,ca_county#32,ca_state#33,ca_zip#34,ca_country#35,ca_gmt_offset#36,ca_location_type#37,ctr_total_return#13]), [c_customer_id#21, c_salutation#23, c_first_name#24, c_last_name#25, ca_street_number#27, ca_street_name#28, ca_street_type#29, ca_suite_number#30, ca_city#31, ca_county#32, ca_state#33, ca_zip#34, ca_country#35, ca_gmt_offset#36, ca_location_type#37, ctr_total_return#13], 100, [c_customer_id#21 ASC NULLS FIRST, c_salutation#23 ASC NULLS FIRST, c_first_name#24 ASC NULLS FIRST, c_last_name#25 ASC NULLS FIRST, ca_street_number#27 ASC NULLS FIRST, ca_street_name#28 ASC NULLS FIRST, ca_street_type#29 ASC NULLS FIRST, ca_suite_number#30 ASC NULLS FIRST, ca_city#31 ASC NULLS FIRST, ca_county#32 ASC NULLS FIRST, ca_state#33 ASC NULLS FIRST, ca_zip#34 ASC NULLS FIRST, ca_country#35 ASC NULLS FIRST, ca_gmt_offset#36 ASC NULLS FIRST, ca_location_type#37 ASC NULLS FIRST, ctr_total_return#13 ASC NULLS FIRST], [c_customer_id#21, c_salutation#23, c_first_name#24, c_last_name#25, ca_street_number#27, ca_street_name#28, ca_street_type#29, ca_suite_number#30, ca_city#31, ca_county#32, ca_state#33, ca_zip#34, ca_country#35, ca_gmt_offset#36, ca_location_type#37, ctr_total_return#13]

(47) ColumnarToRow [codegen id : 1]
Input [16]: [c_customer_id#21, c_salutation#23, c_first_name#24, c_last_name#25, ca_street_number#27, ca_street_name#28, ca_street_type#29, ca_suite_number#30, ca_city#31, ca_county#32, ca_state#33, ca_zip#34, ca_country#35, ca_gmt_offset#36, ca_location_type#37, ctr_total_return#13]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = cr_returned_date_sk#4 IN dynamicpruning#5
BroadcastExchange (52)
+- * ColumnarToRow (51)
   +- CometProject (50)
      +- CometFilter (49)
         +- CometScan parquet spark_catalog.default.date_dim (48)


(48) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#6, d_year#7]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(49) CometFilter
Input [2]: [d_date_sk#6, d_year#7]
Condition : ((isnotnull(d_year#7) AND (d_year#7 = 2000)) AND isnotnull(d_date_sk#6))

(50) CometProject
Input [2]: [d_date_sk#6, d_year#7]
Arguments: [d_date_sk#6], [d_date_sk#6]

(51) ColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#6]

(52) BroadcastExchange
Input [1]: [d_date_sk#6]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4]

Subquery:2 Hosting operator id = 18 Hosting Expression = cr_returned_date_sk#4 IN dynamicpruning#5


