== Physical Plan ==
TakeOrderedAndProject (46)
+- * HashAggregate (45)
   +- * CometColumnarToRow (44)
      +- CometColumnarExchange (43)
         +- * HashAggregate (42)
            +- * Project (41)
               +- * BroadcastHashJoin Inner BuildRight (40)
                  :- * Project (34)
                  :  +- * BroadcastHashJoin Inner BuildRight (33)
                  :     :- * Project (27)
                  :     :  +- * BroadcastHashJoin LeftAnti BuildRight (26)
                  :     :     :- * BroadcastHashJoin LeftAnti BuildRight (19)
                  :     :     :  :- * CometColumnarToRow (12)
                  :     :     :  :  +- CometBroadcastHashJoin (11)
                  :     :     :  :     :- CometFilter (2)
                  :     :     :  :     :  +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (1)
                  :     :     :  :     +- CometBroadcastExchange (10)
                  :     :     :  :        +- CometProject (9)
                  :     :     :  :           +- CometBroadcastHashJoin (8)
                  :     :     :  :              :- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (3)
                  :     :     :  :              +- CometBroadcastExchange (7)
                  :     :     :  :                 +- CometProject (6)
                  :     :     :  :                    +- CometFilter (5)
                  :     :     :  :                       +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (4)
                  :     :     :  +- BroadcastExchange (18)
                  :     :     :     +- * CometColumnarToRow (17)
                  :     :     :        +- CometProject (16)
                  :     :     :           +- CometBroadcastHashJoin (15)
                  :     :     :              :- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (13)
                  :     :     :              +- ReusedExchange (14)
                  :     :     +- BroadcastExchange (25)
                  :     :        +- * CometColumnarToRow (24)
                  :     :           +- CometProject (23)
                  :     :              +- CometBroadcastHashJoin (22)
                  :     :                 :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales (20)
                  :     :                 +- ReusedExchange (21)
                  :     +- BroadcastExchange (32)
                  :        +- * CometColumnarToRow (31)
                  :           +- CometProject (30)
                  :              +- CometFilter (29)
                  :                 +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (28)
                  +- BroadcastExchange (39)
                     +- * CometColumnarToRow (38)
                        +- CometProject (37)
                           +- CometFilter (36)
                              +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics (35)


(1) CometScan [native_iceberg_compat] parquet spark_catalog.default.customer
Output [3]: [c_customer_sk#1, c_current_cdemo_sk#2, c_current_addr_sk#3]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer]
PushedFilters: [IsNotNull(c_current_addr_sk), IsNotNull(c_current_cdemo_sk)]
ReadSchema: struct<c_customer_sk:int,c_current_cdemo_sk:int,c_current_addr_sk:int>

(2) CometFilter
Input [3]: [c_customer_sk#1, c_current_cdemo_sk#2, c_current_addr_sk#3]
Condition : (isnotnull(c_current_addr_sk#3) AND isnotnull(c_current_cdemo_sk#2))

(3) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales
Output [2]: [ss_customer_sk#4, ss_sold_date_sk#5]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#5), dynamicpruningexpression(ss_sold_date_sk#5 IN dynamicpruning#6)]
ReadSchema: struct<ss_customer_sk:int>

(4) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#7, d_year#8, d_moy#9]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), GreaterThanOrEqual(d_moy,4), LessThanOrEqual(d_moy,6), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(5) CometFilter
Input [3]: [d_date_sk#7, d_year#8, d_moy#9]
Condition : (((((isnotnull(d_year#8) AND isnotnull(d_moy#9)) AND (d_year#8 = 2001)) AND (d_moy#9 >= 4)) AND (d_moy#9 <= 6)) AND isnotnull(d_date_sk#7))

(6) CometProject
Input [3]: [d_date_sk#7, d_year#8, d_moy#9]
Arguments: [d_date_sk#7], [d_date_sk#7]

(7) CometBroadcastExchange
Input [1]: [d_date_sk#7]
Arguments: [d_date_sk#7]

(8) CometBroadcastHashJoin
Left output [2]: [ss_customer_sk#4, ss_sold_date_sk#5]
Right output [1]: [d_date_sk#7]
Arguments: [ss_sold_date_sk#5], [d_date_sk#7], Inner, BuildRight

(9) CometProject
Input [3]: [ss_customer_sk#4, ss_sold_date_sk#5, d_date_sk#7]
Arguments: [ss_customer_sk#4], [ss_customer_sk#4]

(10) CometBroadcastExchange
Input [1]: [ss_customer_sk#4]
Arguments: [ss_customer_sk#4]

(11) CometBroadcastHashJoin
Left output [3]: [c_customer_sk#1, c_current_cdemo_sk#2, c_current_addr_sk#3]
Right output [1]: [ss_customer_sk#4]
Arguments: [c_customer_sk#1], [ss_customer_sk#4], LeftSemi, BuildRight

(12) CometColumnarToRow [codegen id : 5]
Input [3]: [c_customer_sk#1, c_current_cdemo_sk#2, c_current_addr_sk#3]

(13) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales
Output [2]: [ws_bill_customer_sk#10, ws_sold_date_sk#11]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#11), dynamicpruningexpression(ws_sold_date_sk#11 IN dynamicpruning#12)]
ReadSchema: struct<ws_bill_customer_sk:int>

(14) ReusedExchange [Reuses operator id: 7]
Output [1]: [d_date_sk#13]

(15) CometBroadcastHashJoin
Left output [2]: [ws_bill_customer_sk#10, ws_sold_date_sk#11]
Right output [1]: [d_date_sk#13]
Arguments: [ws_sold_date_sk#11], [d_date_sk#13], Inner, BuildRight

(16) CometProject
Input [3]: [ws_bill_customer_sk#10, ws_sold_date_sk#11, d_date_sk#13]
Arguments: [ws_bill_customer_sk#10], [ws_bill_customer_sk#10]

(17) CometColumnarToRow [codegen id : 1]
Input [1]: [ws_bill_customer_sk#10]

(18) BroadcastExchange
Input [1]: [ws_bill_customer_sk#10]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=1]

(19) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [c_customer_sk#1]
Right keys [1]: [ws_bill_customer_sk#10]
Join type: LeftAnti
Join condition: None

(20) CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales
Output [2]: [cs_ship_customer_sk#14, cs_sold_date_sk#15]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#15), dynamicpruningexpression(cs_sold_date_sk#15 IN dynamicpruning#16)]
ReadSchema: struct<cs_ship_customer_sk:int>

(21) ReusedExchange [Reuses operator id: 7]
Output [1]: [d_date_sk#17]

(22) CometBroadcastHashJoin
Left output [2]: [cs_ship_customer_sk#14, cs_sold_date_sk#15]
Right output [1]: [d_date_sk#17]
Arguments: [cs_sold_date_sk#15], [d_date_sk#17], Inner, BuildRight

(23) CometProject
Input [3]: [cs_ship_customer_sk#14, cs_sold_date_sk#15, d_date_sk#17]
Arguments: [cs_ship_customer_sk#14], [cs_ship_customer_sk#14]

(24) CometColumnarToRow [codegen id : 2]
Input [1]: [cs_ship_customer_sk#14]

(25) BroadcastExchange
Input [1]: [cs_ship_customer_sk#14]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]

(26) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [c_customer_sk#1]
Right keys [1]: [cs_ship_customer_sk#14]
Join type: LeftAnti
Join condition: None

(27) Project [codegen id : 5]
Output [2]: [c_current_cdemo_sk#2, c_current_addr_sk#3]
Input [3]: [c_customer_sk#1, c_current_cdemo_sk#2, c_current_addr_sk#3]

(28) CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#18, ca_state#19]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_state:string>

(29) CometFilter
Input [2]: [ca_address_sk#18, ca_state#19]
Condition : (static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#19, 2)) IN (KY,GA,NM) AND isnotnull(ca_address_sk#18))

(30) CometProject
Input [2]: [ca_address_sk#18, ca_state#19]
Arguments: [ca_address_sk#18], [ca_address_sk#18]

(31) CometColumnarToRow [codegen id : 3]
Input [1]: [ca_address_sk#18]

(32) BroadcastExchange
Input [1]: [ca_address_sk#18]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]

(33) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [c_current_addr_sk#3]
Right keys [1]: [ca_address_sk#18]
Join type: Inner
Join condition: None

(34) Project [codegen id : 5]
Output [1]: [c_current_cdemo_sk#2]
Input [3]: [c_current_cdemo_sk#2, c_current_addr_sk#3, ca_address_sk#18]

(35) CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics
Output [6]: [cd_demo_sk#20, cd_gender#21, cd_marital_status#22, cd_education_status#23, cd_purchase_estimate#24, cd_credit_rating#25]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_demographics]
PushedFilters: [IsNotNull(cd_demo_sk)]
ReadSchema: struct<cd_demo_sk:int,cd_gender:string,cd_marital_status:string,cd_education_status:string,cd_purchase_estimate:int,cd_credit_rating:string>

(36) CometFilter
Input [6]: [cd_demo_sk#20, cd_gender#21, cd_marital_status#22, cd_education_status#23, cd_purchase_estimate#24, cd_credit_rating#25]
Condition : isnotnull(cd_demo_sk#20)

(37) CometProject
Input [6]: [cd_demo_sk#20, cd_gender#21, cd_marital_status#22, cd_education_status#23, cd_purchase_estimate#24, cd_credit_rating#25]
Arguments: [cd_demo_sk#20, cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29], [cd_demo_sk#20, static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_gender#21, 1)) AS cd_gender#26, static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_marital_status#22, 1)) AS cd_marital_status#27, static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_education_status#23, 20)) AS cd_education_status#28, cd_purchase_estimate#24, static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_credit_rating#25, 10)) AS cd_credit_rating#29]

(38) CometColumnarToRow [codegen id : 4]
Input [6]: [cd_demo_sk#20, cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29]

(39) BroadcastExchange
Input [6]: [cd_demo_sk#20, cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4]

(40) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [c_current_cdemo_sk#2]
Right keys [1]: [cd_demo_sk#20]
Join type: Inner
Join condition: None

(41) Project [codegen id : 5]
Output [5]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29]
Input [7]: [c_current_cdemo_sk#2, cd_demo_sk#20, cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29]

(42) HashAggregate [codegen id : 5]
Input [5]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29]
Keys [5]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#30]
Results [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, count#31]

(43) CometColumnarExchange
Input [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, count#31]
Arguments: hashpartitioning(cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5]

(44) CometColumnarToRow [codegen id : 6]
Input [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, count#31]

(45) HashAggregate [codegen id : 6]
Input [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, count#31]
Keys [5]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#32]
Results [8]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, count(1)#32 AS cnt1#33, cd_purchase_estimate#24, count(1)#32 AS cnt2#34, cd_credit_rating#29, count(1)#32 AS cnt3#35]

(46) TakeOrderedAndProject
Input [8]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#33, cd_purchase_estimate#24, cnt2#34, cd_credit_rating#29, cnt3#35]
Arguments: 100, [cd_gender#26 ASC NULLS FIRST, cd_marital_status#27 ASC NULLS FIRST, cd_education_status#28 ASC NULLS FIRST, cd_purchase_estimate#24 ASC NULLS FIRST, cd_credit_rating#29 ASC NULLS FIRST], [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#33, cd_purchase_estimate#24, cnt2#34, cd_credit_rating#29, cnt3#35]

===== Subqueries =====

Subquery:1 Hosting operator id = 3 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6
BroadcastExchange (51)
+- * CometColumnarToRow (50)
   +- CometProject (49)
      +- CometFilter (48)
         +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (47)


(47) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#7, d_year#8, d_moy#9]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), GreaterThanOrEqual(d_moy,4), LessThanOrEqual(d_moy,6), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(48) CometFilter
Input [3]: [d_date_sk#7, d_year#8, d_moy#9]
Condition : (((((isnotnull(d_year#8) AND isnotnull(d_moy#9)) AND (d_year#8 = 2001)) AND (d_moy#9 >= 4)) AND (d_moy#9 <= 6)) AND isnotnull(d_date_sk#7))

(49) CometProject
Input [3]: [d_date_sk#7, d_year#8, d_moy#9]
Arguments: [d_date_sk#7], [d_date_sk#7]

(50) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#7]

(51) BroadcastExchange
Input [1]: [d_date_sk#7]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6]

Subquery:2 Hosting operator id = 13 Hosting Expression = ws_sold_date_sk#11 IN dynamicpruning#6

Subquery:3 Hosting operator id = 20 Hosting Expression = cs_sold_date_sk#15 IN dynamicpruning#6


