== Physical Plan ==
* CometColumnarToRow (47)
+- CometSort (46)
   +- CometColumnarExchange (45)
      +- * HashAggregate (44)
         +- * CometColumnarToRow (43)
            +- CometColumnarExchange (42)
               +- * HashAggregate (41)
                  +- * Project (40)
                     +- * BroadcastHashJoin Inner BuildRight (39)
                        :- * Project (33)
                        :  +- * BroadcastHashJoin Inner BuildRight (32)
                        :     :- * Project (26)
                        :     :  +- * BroadcastHashJoin Inner BuildRight (25)
                        :     :     :- * Project (19)
                        :     :     :  +- * BroadcastHashJoin Inner BuildRight (18)
                        :     :     :     :- * Project (13)
                        :     :     :     :  +- * BroadcastHashJoin Inner BuildRight (12)
                        :     :     :     :     :- * Project (10)
                        :     :     :     :     :  +- * BroadcastHashJoin Inner BuildRight (9)
                        :     :     :     :     :     :- * CometColumnarToRow (4)
                        :     :     :     :     :     :  +- CometProject (3)
                        :     :     :     :     :     :     +- CometFilter (2)
                        :     :     :     :     :     :        +- CometNativeScan parquet spark_catalog.default.call_center (1)
                        :     :     :     :     :     +- BroadcastExchange (8)
                        :     :     :     :     :        +- * Filter (7)
                        :     :     :     :     :           +- * ColumnarToRow (6)
                        :     :     :     :     :              +- Scan parquet spark_catalog.default.catalog_returns (5)
                        :     :     :     :     +- ReusedExchange (11)
                        :     :     :     +- BroadcastExchange (17)
                        :     :     :        +- * CometColumnarToRow (16)
                        :     :     :           +- CometFilter (15)
                        :     :     :              +- CometNativeScan parquet spark_catalog.default.customer (14)
                        :     :     +- BroadcastExchange (24)
                        :     :        +- * CometColumnarToRow (23)
                        :     :           +- CometProject (22)
                        :     :              +- CometFilter (21)
                        :     :                 +- CometNativeScan parquet spark_catalog.default.customer_address (20)
                        :     +- BroadcastExchange (31)
                        :        +- * CometColumnarToRow (30)
                        :           +- CometProject (29)
                        :              +- CometFilter (28)
                        :                 +- CometNativeScan parquet spark_catalog.default.customer_demographics (27)
                        +- BroadcastExchange (38)
                           +- * CometColumnarToRow (37)
                              +- CometProject (36)
                                 +- CometFilter (35)
                                    +- CometNativeScan parquet spark_catalog.default.household_demographics (34)


(1) CometNativeScan parquet spark_catalog.default.call_center
Output [4]: [cc_call_center_sk#1, cc_call_center_id#2, cc_name#3, cc_manager#4]
Batched: true
Location [not included in comparison]/{warehouse_dir}/call_center]
PushedFilters: [IsNotNull(cc_call_center_sk)]
ReadSchema: struct<cc_call_center_sk:int,cc_call_center_id:string,cc_name:string,cc_manager:string>

(2) CometFilter
Input [4]: [cc_call_center_sk#1, cc_call_center_id#2, cc_name#3, cc_manager#4]
Condition : isnotnull(cc_call_center_sk#1)

(3) CometProject
Input [4]: [cc_call_center_sk#1, cc_call_center_id#2, cc_name#3, cc_manager#4]
Arguments: [cc_call_center_sk#1, cc_call_center_id#5, cc_name#3, cc_manager#4], [cc_call_center_sk#1, static_invoke(CharVarcharCodegenUtils.readSidePadding(cc_call_center_id#2, 16)) AS cc_call_center_id#5, cc_name#3, cc_manager#4]

(4) CometColumnarToRow [codegen id : 7]
Input [4]: [cc_call_center_sk#1, cc_call_center_id#5, cc_name#3, cc_manager#4]

(5) Scan parquet spark_catalog.default.catalog_returns
Output [4]: [cr_returning_customer_sk#6, cr_call_center_sk#7, cr_net_loss#8, cr_returned_date_sk#9]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cr_returned_date_sk#9), dynamicpruningexpression(cr_returned_date_sk#9 IN dynamicpruning#10)]
PushedFilters: [IsNotNull(cr_call_center_sk), IsNotNull(cr_returning_customer_sk)]
ReadSchema: struct<cr_returning_customer_sk:int,cr_call_center_sk:int,cr_net_loss:decimal(7,2)>

(6) ColumnarToRow [codegen id : 1]
Input [4]: [cr_returning_customer_sk#6, cr_call_center_sk#7, cr_net_loss#8, cr_returned_date_sk#9]

(7) Filter [codegen id : 1]
Input [4]: [cr_returning_customer_sk#6, cr_call_center_sk#7, cr_net_loss#8, cr_returned_date_sk#9]
Condition : (isnotnull(cr_call_center_sk#7) AND isnotnull(cr_returning_customer_sk#6))

(8) BroadcastExchange
Input [4]: [cr_returning_customer_sk#6, cr_call_center_sk#7, cr_net_loss#8, cr_returned_date_sk#9]
Arguments: HashedRelationBroadcastMode(List(cast(input[1, int, false] as bigint)),false), [plan_id=1]

(9) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [cc_call_center_sk#1]
Right keys [1]: [cr_call_center_sk#7]
Join type: Inner
Join condition: None

(10) Project [codegen id : 7]
Output [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_returning_customer_sk#6, cr_net_loss#8, cr_returned_date_sk#9]
Input [8]: [cc_call_center_sk#1, cc_call_center_id#5, cc_name#3, cc_manager#4, cr_returning_customer_sk#6, cr_call_center_sk#7, cr_net_loss#8, cr_returned_date_sk#9]

(11) ReusedExchange [Reuses operator id: 52]
Output [1]: [d_date_sk#11]

(12) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [cr_returned_date_sk#9]
Right keys [1]: [d_date_sk#11]
Join type: Inner
Join condition: None

(13) Project [codegen id : 7]
Output [5]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_returning_customer_sk#6, cr_net_loss#8]
Input [7]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_returning_customer_sk#6, cr_net_loss#8, cr_returned_date_sk#9, d_date_sk#11]

(14) CometNativeScan parquet spark_catalog.default.customer
Output [4]: [c_customer_sk#12, c_current_cdemo_sk#13, c_current_hdemo_sk#14, c_current_addr_sk#15]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer]
PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk), IsNotNull(c_current_cdemo_sk), IsNotNull(c_current_hdemo_sk)]
ReadSchema: struct<c_customer_sk:int,c_current_cdemo_sk:int,c_current_hdemo_sk:int,c_current_addr_sk:int>

(15) CometFilter
Input [4]: [c_customer_sk#12, c_current_cdemo_sk#13, c_current_hdemo_sk#14, c_current_addr_sk#15]
Condition : (((isnotnull(c_customer_sk#12) AND isnotnull(c_current_addr_sk#15)) AND isnotnull(c_current_cdemo_sk#13)) AND isnotnull(c_current_hdemo_sk#14))

(16) CometColumnarToRow [codegen id : 3]
Input [4]: [c_customer_sk#12, c_current_cdemo_sk#13, c_current_hdemo_sk#14, c_current_addr_sk#15]

(17) BroadcastExchange
Input [4]: [c_customer_sk#12, c_current_cdemo_sk#13, c_current_hdemo_sk#14, c_current_addr_sk#15]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=2]

(18) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [cr_returning_customer_sk#6]
Right keys [1]: [c_customer_sk#12]
Join type: Inner
Join condition: None

(19) Project [codegen id : 7]
Output [7]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, c_current_cdemo_sk#13, c_current_hdemo_sk#14, c_current_addr_sk#15]
Input [9]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_returning_customer_sk#6, cr_net_loss#8, c_customer_sk#12, c_current_cdemo_sk#13, c_current_hdemo_sk#14, c_current_addr_sk#15]

(20) CometNativeScan parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#16, ca_gmt_offset#17]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_gmt_offset), EqualTo(ca_gmt_offset,-7.00), IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_gmt_offset:decimal(5,2)>

(21) CometFilter
Input [2]: [ca_address_sk#16, ca_gmt_offset#17]
Condition : ((isnotnull(ca_gmt_offset#17) AND (ca_gmt_offset#17 = -7.00)) AND isnotnull(ca_address_sk#16))

(22) CometProject
Input [2]: [ca_address_sk#16, ca_gmt_offset#17]
Arguments: [ca_address_sk#16], [ca_address_sk#16]

(23) CometColumnarToRow [codegen id : 4]
Input [1]: [ca_address_sk#16]

(24) BroadcastExchange
Input [1]: [ca_address_sk#16]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]

(25) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [c_current_addr_sk#15]
Right keys [1]: [ca_address_sk#16]
Join type: Inner
Join condition: None

(26) Project [codegen id : 7]
Output [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, c_current_cdemo_sk#13, c_current_hdemo_sk#14]
Input [8]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, c_current_cdemo_sk#13, c_current_hdemo_sk#14, c_current_addr_sk#15, ca_address_sk#16]

(27) CometNativeScan parquet spark_catalog.default.customer_demographics
Output [3]: [cd_demo_sk#18, cd_marital_status#19, cd_education_status#20]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_demographics]
PushedFilters: [IsNotNull(cd_demo_sk)]
ReadSchema: struct<cd_demo_sk:int,cd_marital_status:string,cd_education_status:string>

(28) CometFilter
Input [3]: [cd_demo_sk#18, cd_marital_status#19, cd_education_status#20]
Condition : ((((static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_marital_status#19, 1)) = M) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_education_status#20, 20)) = Unknown             )) OR ((static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_marital_status#19, 1)) = W) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_education_status#20, 20)) = Advanced Degree     ))) AND isnotnull(cd_demo_sk#18))

(29) CometProject
Input [3]: [cd_demo_sk#18, cd_marital_status#19, cd_education_status#20]
Arguments: [cd_demo_sk#18, cd_marital_status#21, cd_education_status#22], [cd_demo_sk#18, static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_marital_status#19, 1)) AS cd_marital_status#21, static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_education_status#20, 20)) AS cd_education_status#22]

(30) CometColumnarToRow [codegen id : 5]
Input [3]: [cd_demo_sk#18, cd_marital_status#21, cd_education_status#22]

(31) BroadcastExchange
Input [3]: [cd_demo_sk#18, cd_marital_status#21, cd_education_status#22]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4]

(32) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [c_current_cdemo_sk#13]
Right keys [1]: [cd_demo_sk#18]
Join type: Inner
Join condition: None

(33) Project [codegen id : 7]
Output [7]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, c_current_hdemo_sk#14, cd_marital_status#21, cd_education_status#22]
Input [9]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, c_current_cdemo_sk#13, c_current_hdemo_sk#14, cd_demo_sk#18, cd_marital_status#21, cd_education_status#22]

(34) CometNativeScan parquet spark_catalog.default.household_demographics
Output [2]: [hd_demo_sk#23, hd_buy_potential#24]
Batched: true
Location [not included in comparison]/{warehouse_dir}/household_demographics]
PushedFilters: [IsNotNull(hd_buy_potential), IsNotNull(hd_demo_sk)]
ReadSchema: struct<hd_demo_sk:int,hd_buy_potential:string>

(35) CometFilter
Input [2]: [hd_demo_sk#23, hd_buy_potential#24]
Condition : ((isnotnull(hd_buy_potential#24) AND StartsWith(static_invoke(CharVarcharCodegenUtils.readSidePadding(hd_buy_potential#24, 15)), Unknown)) AND isnotnull(hd_demo_sk#23))

(36) CometProject
Input [2]: [hd_demo_sk#23, hd_buy_potential#24]
Arguments: [hd_demo_sk#23], [hd_demo_sk#23]

(37) CometColumnarToRow [codegen id : 6]
Input [1]: [hd_demo_sk#23]

(38) BroadcastExchange
Input [1]: [hd_demo_sk#23]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5]

(39) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [c_current_hdemo_sk#14]
Right keys [1]: [hd_demo_sk#23]
Join type: Inner
Join condition: None

(40) Project [codegen id : 7]
Output [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, cd_marital_status#21, cd_education_status#22]
Input [8]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, c_current_hdemo_sk#14, cd_marital_status#21, cd_education_status#22, hd_demo_sk#23]

(41) HashAggregate [codegen id : 7]
Input [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, cd_marital_status#21, cd_education_status#22]
Keys [5]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22]
Functions [1]: [partial_sum(UnscaledValue(cr_net_loss#8))]
Aggregate Attributes [1]: [sum#25]
Results [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22, sum#26]

(42) CometColumnarExchange
Input [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22, sum#26]
Arguments: hashpartitioning(cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6]

(43) CometColumnarToRow [codegen id : 8]
Input [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22, sum#26]

(44) HashAggregate [codegen id : 8]
Input [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22, sum#26]
Keys [5]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22]
Functions [1]: [sum(UnscaledValue(cr_net_loss#8))]
Aggregate Attributes [1]: [sum(UnscaledValue(cr_net_loss#8))#27]
Results [4]: [cc_call_center_id#5 AS Call_Center#28, cc_name#3 AS Call_Center_Name#29, cc_manager#4 AS Manager#30, MakeDecimal(sum(UnscaledValue(cr_net_loss#8))#27,17,2) AS Returns_Loss#31]

(45) CometColumnarExchange
Input [4]: [Call_Center#28, Call_Center_Name#29, Manager#30, Returns_Loss#31]
Arguments: rangepartitioning(Returns_Loss#31 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7]

(46) CometSort
Input [4]: [Call_Center#28, Call_Center_Name#29, Manager#30, Returns_Loss#31]
Arguments: [Call_Center#28, Call_Center_Name#29, Manager#30, Returns_Loss#31], [Returns_Loss#31 DESC NULLS LAST]

(47) CometColumnarToRow [codegen id : 9]
Input [4]: [Call_Center#28, Call_Center_Name#29, Manager#30, Returns_Loss#31]

===== Subqueries =====

Subquery:1 Hosting operator id = 5 Hosting Expression = cr_returned_date_sk#9 IN dynamicpruning#10
BroadcastExchange (52)
+- * CometColumnarToRow (51)
   +- CometProject (50)
      +- CometFilter (49)
         +- CometNativeScan parquet spark_catalog.default.date_dim (48)


(48) CometNativeScan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#11, d_year#32, d_moy#33]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,11), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(49) CometFilter
Input [3]: [d_date_sk#11, d_year#32, d_moy#33]
Condition : ((((isnotnull(d_year#32) AND isnotnull(d_moy#33)) AND (d_year#32 = 1998)) AND (d_moy#33 = 11)) AND isnotnull(d_date_sk#11))

(50) CometProject
Input [3]: [d_date_sk#11, d_year#32, d_moy#33]
Arguments: [d_date_sk#11], [d_date_sk#11]

(51) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#11]

(52) BroadcastExchange
Input [1]: [d_date_sk#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8]


