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


(1) CometScan [native_iceberg_compat] 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) CometScan [native_iceberg_compat] 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)>

(5) CometFilter
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))

(6) CometBroadcastExchange
Input [4]: [cr_returning_customer_sk#6, cr_call_center_sk#7, cr_net_loss#8, cr_returned_date_sk#9]
Arguments: [cr_returning_customer_sk#6, cr_call_center_sk#7, cr_net_loss#8, cr_returned_date_sk#9]

(7) CometBroadcastHashJoin
Left output [4]: [cc_call_center_sk#1, cc_call_center_id#5, cc_name#3, cc_manager#4]
Right output [4]: [cr_returning_customer_sk#6, cr_call_center_sk#7, cr_net_loss#8, cr_returned_date_sk#9]
Arguments: [cc_call_center_sk#1], [cr_call_center_sk#7], Inner, BuildRight

(8) CometProject
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]
Arguments: [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], [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]

(9) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#11, d_year#12, d_moy#13]
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>

(10) CometFilter
Input [3]: [d_date_sk#11, d_year#12, d_moy#13]
Condition : ((((isnotnull(d_year#12) AND isnotnull(d_moy#13)) AND (d_year#12 = 1998)) AND (d_moy#13 = 11)) AND isnotnull(d_date_sk#11))

(11) CometProject
Input [3]: [d_date_sk#11, d_year#12, d_moy#13]
Arguments: [d_date_sk#11], [d_date_sk#11]

(12) CometBroadcastExchange
Input [1]: [d_date_sk#11]
Arguments: [d_date_sk#11]

(13) CometBroadcastHashJoin
Left 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]
Right output [1]: [d_date_sk#11]
Arguments: [cr_returned_date_sk#9], [d_date_sk#11], Inner, BuildRight

(14) CometProject
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]
Arguments: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_returning_customer_sk#6, cr_net_loss#8], [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_returning_customer_sk#6, cr_net_loss#8]

(15) CometScan [native_iceberg_compat] parquet spark_catalog.default.customer
Output [4]: [c_customer_sk#14, c_current_cdemo_sk#15, c_current_hdemo_sk#16, c_current_addr_sk#17]
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>

(16) CometFilter
Input [4]: [c_customer_sk#14, c_current_cdemo_sk#15, c_current_hdemo_sk#16, c_current_addr_sk#17]
Condition : (((isnotnull(c_customer_sk#14) AND isnotnull(c_current_addr_sk#17)) AND isnotnull(c_current_cdemo_sk#15)) AND isnotnull(c_current_hdemo_sk#16))

(17) CometBroadcastExchange
Input [4]: [c_customer_sk#14, c_current_cdemo_sk#15, c_current_hdemo_sk#16, c_current_addr_sk#17]
Arguments: [c_customer_sk#14, c_current_cdemo_sk#15, c_current_hdemo_sk#16, c_current_addr_sk#17]

(18) CometBroadcastHashJoin
Left output [5]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_returning_customer_sk#6, cr_net_loss#8]
Right output [4]: [c_customer_sk#14, c_current_cdemo_sk#15, c_current_hdemo_sk#16, c_current_addr_sk#17]
Arguments: [cr_returning_customer_sk#6], [c_customer_sk#14], Inner, BuildRight

(19) CometProject
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#14, c_current_cdemo_sk#15, c_current_hdemo_sk#16, c_current_addr_sk#17]
Arguments: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, c_current_cdemo_sk#15, c_current_hdemo_sk#16, c_current_addr_sk#17], [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, c_current_cdemo_sk#15, c_current_hdemo_sk#16, c_current_addr_sk#17]

(20) CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#18, ca_gmt_offset#19]
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#18, ca_gmt_offset#19]
Condition : ((isnotnull(ca_gmt_offset#19) AND (ca_gmt_offset#19 = -7.00)) AND isnotnull(ca_address_sk#18))

(22) CometProject
Input [2]: [ca_address_sk#18, ca_gmt_offset#19]
Arguments: [ca_address_sk#18], [ca_address_sk#18]

(23) CometBroadcastExchange
Input [1]: [ca_address_sk#18]
Arguments: [ca_address_sk#18]

(24) CometBroadcastHashJoin
Left output [7]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, c_current_cdemo_sk#15, c_current_hdemo_sk#16, c_current_addr_sk#17]
Right output [1]: [ca_address_sk#18]
Arguments: [c_current_addr_sk#17], [ca_address_sk#18], Inner, BuildRight

(25) CometProject
Input [8]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, c_current_cdemo_sk#15, c_current_hdemo_sk#16, c_current_addr_sk#17, ca_address_sk#18]
Arguments: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, c_current_cdemo_sk#15, c_current_hdemo_sk#16], [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, c_current_cdemo_sk#15, c_current_hdemo_sk#16]

(26) CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics
Output [3]: [cd_demo_sk#20, cd_marital_status#21, cd_education_status#22]
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>

(27) CometFilter
Input [3]: [cd_demo_sk#20, cd_marital_status#21, cd_education_status#22]
Condition : ((((static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_marital_status#21, 1)) = M) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_education_status#22, 20)) = Unknown             )) OR ((static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_marital_status#21, 1)) = W) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_education_status#22, 20)) = Advanced Degree     ))) AND isnotnull(cd_demo_sk#20))

(28) CometProject
Input [3]: [cd_demo_sk#20, cd_marital_status#21, cd_education_status#22]
Arguments: [cd_demo_sk#20, cd_marital_status#23, cd_education_status#24], [cd_demo_sk#20, static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_marital_status#21, 1)) AS cd_marital_status#23, static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_education_status#22, 20)) AS cd_education_status#24]

(29) CometBroadcastExchange
Input [3]: [cd_demo_sk#20, cd_marital_status#23, cd_education_status#24]
Arguments: [cd_demo_sk#20, cd_marital_status#23, cd_education_status#24]

(30) CometBroadcastHashJoin
Left output [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, c_current_cdemo_sk#15, c_current_hdemo_sk#16]
Right output [3]: [cd_demo_sk#20, cd_marital_status#23, cd_education_status#24]
Arguments: [c_current_cdemo_sk#15], [cd_demo_sk#20], Inner, BuildRight

(31) CometProject
Input [9]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, c_current_cdemo_sk#15, c_current_hdemo_sk#16, cd_demo_sk#20, cd_marital_status#23, cd_education_status#24]
Arguments: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, c_current_hdemo_sk#16, cd_marital_status#23, cd_education_status#24], [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, c_current_hdemo_sk#16, cd_marital_status#23, cd_education_status#24]

(32) CometScan [native_iceberg_compat] parquet spark_catalog.default.household_demographics
Output [2]: [hd_demo_sk#25, hd_buy_potential#26]
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>

(33) CometFilter
Input [2]: [hd_demo_sk#25, hd_buy_potential#26]
Condition : ((isnotnull(hd_buy_potential#26) AND StartsWith(static_invoke(CharVarcharCodegenUtils.readSidePadding(hd_buy_potential#26, 15)), Unknown)) AND isnotnull(hd_demo_sk#25))

(34) CometProject
Input [2]: [hd_demo_sk#25, hd_buy_potential#26]
Arguments: [hd_demo_sk#25], [hd_demo_sk#25]

(35) CometBroadcastExchange
Input [1]: [hd_demo_sk#25]
Arguments: [hd_demo_sk#25]

(36) CometBroadcastHashJoin
Left output [7]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, c_current_hdemo_sk#16, cd_marital_status#23, cd_education_status#24]
Right output [1]: [hd_demo_sk#25]
Arguments: [c_current_hdemo_sk#16], [hd_demo_sk#25], Inner, BuildRight

(37) CometProject
Input [8]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, c_current_hdemo_sk#16, cd_marital_status#23, cd_education_status#24, hd_demo_sk#25]
Arguments: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, cd_marital_status#23, cd_education_status#24], [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, cd_marital_status#23, cd_education_status#24]

(38) CometHashAggregate
Input [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_net_loss#8, cd_marital_status#23, cd_education_status#24]
Keys [5]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#23, cd_education_status#24]
Functions [1]: [partial_sum(UnscaledValue(cr_net_loss#8))]

(39) CometExchange
Input [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#23, cd_education_status#24, sum#27]
Arguments: hashpartitioning(cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#23, cd_education_status#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(40) CometColumnarToRow [codegen id : 1]
Input [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#23, cd_education_status#24, sum#27]

(41) HashAggregate [codegen id : 1]
Input [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#23, cd_education_status#24, sum#27]
Keys [5]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#23, cd_education_status#24]
Functions [1]: [sum(UnscaledValue(cr_net_loss#8))]
Aggregate Attributes [1]: [sum(UnscaledValue(cr_net_loss#8))#28]
Results [4]: [cc_call_center_id#5 AS Call_Center#29, cc_name#3 AS Call_Center_Name#30, cc_manager#4 AS Manager#31, MakeDecimal(sum(UnscaledValue(cr_net_loss#8))#28,17,2) AS Returns_Loss#32]

(42) CometColumnarExchange
Input [4]: [Call_Center#29, Call_Center_Name#30, Manager#31, Returns_Loss#32]
Arguments: rangepartitioning(Returns_Loss#32 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2]

(43) CometSort
Input [4]: [Call_Center#29, Call_Center_Name#30, Manager#31, Returns_Loss#32]
Arguments: [Call_Center#29, Call_Center_Name#30, Manager#31, Returns_Loss#32], [Returns_Loss#32 DESC NULLS LAST]

(44) CometColumnarToRow [codegen id : 2]
Input [4]: [Call_Center#29, Call_Center_Name#30, Manager#31, Returns_Loss#32]

===== Subqueries =====

Subquery:1 Hosting operator id = 4 Hosting Expression = cr_returned_date_sk#9 IN dynamicpruning#10
BroadcastExchange (49)
+- * CometColumnarToRow (48)
   +- CometProject (47)
      +- CometFilter (46)
         +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (45)


(45) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#11, d_year#12, d_moy#13]
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>

(46) CometFilter
Input [3]: [d_date_sk#11, d_year#12, d_moy#13]
Condition : ((((isnotnull(d_year#12) AND isnotnull(d_moy#13)) AND (d_year#12 = 1998)) AND (d_moy#13 = 11)) AND isnotnull(d_date_sk#11))

(47) CometProject
Input [3]: [d_date_sk#11, d_year#12, d_moy#13]
Arguments: [d_date_sk#11], [d_date_sk#11]

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

(49) BroadcastExchange
Input [1]: [d_date_sk#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]


