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


(1) CometScan parquet spark_catalog.default.customer
Output [3]: [c_customer_sk#3, c_current_cdemo_sk#4, c_current_addr_sk#5]
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#3, c_current_cdemo_sk#4, c_current_addr_sk#5]
Condition : (isnotnull(c_current_addr_sk#5) AND isnotnull(c_current_cdemo_sk#4))

(3) CometScan parquet spark_catalog.default.store_sales
Output [2]: [ss_customer_sk#6, ss_sold_date_sk#7]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#7)]
ReadSchema: struct<ss_customer_sk:int>

(4) CometScan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#8, d_year#9, d_moy#10]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2002), GreaterThanOrEqual(d_moy,1), LessThanOrEqual(d_moy,4), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(5) CometFilter
Input [3]: [d_date_sk#8, d_year#9, d_moy#10]
Condition : (((((isnotnull(d_year#9) AND isnotnull(d_moy#10)) AND (d_year#9 = 2002)) AND (d_moy#10 >= 1)) AND (d_moy#10 <= 4)) AND isnotnull(d_date_sk#8))

(6) CometProject
Input [3]: [d_date_sk#8, d_year#9, d_moy#10]
Arguments: [d_date_sk#8], [d_date_sk#8]

(7) CometBroadcastExchange
Input [1]: [d_date_sk#8]
Arguments: [d_date_sk#8]

(8) CometBroadcastHashJoin
Left output [2]: [ss_customer_sk#6, ss_sold_date_sk#7]
Right output [1]: [d_date_sk#8]
Arguments: [ss_sold_date_sk#7], [d_date_sk#8], Inner, BuildRight

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

(10) CometBroadcastExchange
Input [1]: [ss_customer_sk#6]
Arguments: [ss_customer_sk#6]

(11) CometBroadcastHashJoin
Left output [3]: [c_customer_sk#3, c_current_cdemo_sk#4, c_current_addr_sk#5]
Right output [1]: [ss_customer_sk#6]
Arguments: [c_customer_sk#3], [ss_customer_sk#6], LeftSemi, BuildRight

(12) ColumnarToRow [codegen id : 5]
Input [3]: [c_customer_sk#3, c_current_cdemo_sk#4, c_current_addr_sk#5]

(13) CometScan parquet spark_catalog.default.web_sales
Output [2]: [ws_bill_customer_sk#11, ws_sold_date_sk#12]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#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#11, ws_sold_date_sk#12]
Right output [1]: [d_date_sk#13]
Arguments: [ws_sold_date_sk#12], [d_date_sk#13], Inner, BuildRight

(16) CometProject
Input [3]: [ws_bill_customer_sk#11, ws_sold_date_sk#12, d_date_sk#13]
Arguments: [ws_bill_customer_sk#11], [ws_bill_customer_sk#11]

(17) ColumnarToRow [codegen id : 1]
Input [1]: [ws_bill_customer_sk#11]

(18) BroadcastExchange
Input [1]: [ws_bill_customer_sk#11]
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#3]
Right keys [1]: [ws_bill_customer_sk#11]
Join type: ExistenceJoin(exists#2)
Join condition: None

(20) CometScan 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)]
ReadSchema: struct<cs_ship_customer_sk:int>

(21) ReusedExchange [Reuses operator id: 7]
Output [1]: [d_date_sk#16]

(22) CometBroadcastHashJoin
Left output [2]: [cs_ship_customer_sk#14, cs_sold_date_sk#15]
Right output [1]: [d_date_sk#16]
Arguments: [cs_sold_date_sk#15], [d_date_sk#16], Inner, BuildRight

(23) CometProject
Input [3]: [cs_ship_customer_sk#14, cs_sold_date_sk#15, d_date_sk#16]
Arguments: [cs_ship_customer_sk#14], [cs_ship_customer_sk#14]

(24) ColumnarToRow [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#3]
Right keys [1]: [cs_ship_customer_sk#14]
Join type: ExistenceJoin(exists#1)
Join condition: None

(27) Filter [codegen id : 5]
Input [5]: [c_customer_sk#3, c_current_cdemo_sk#4, c_current_addr_sk#5, exists#2, exists#1]
Condition : (exists#2 OR exists#1)

(28) Project [codegen id : 5]
Output [2]: [c_current_cdemo_sk#4, c_current_addr_sk#5]
Input [5]: [c_customer_sk#3, c_current_cdemo_sk#4, c_current_addr_sk#5, exists#2, exists#1]

(29) CometScan parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#17, ca_county#18]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_address]
PushedFilters: [In(ca_county, [Dona Ana County,Jefferson County,La Porte County,Rush County,Toole County]), IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_county:string>

(30) CometFilter
Input [2]: [ca_address_sk#17, ca_county#18]
Condition : (ca_county#18 IN (Rush County,Toole County,Jefferson County,Dona Ana County,La Porte County) AND isnotnull(ca_address_sk#17))

(31) CometProject
Input [2]: [ca_address_sk#17, ca_county#18]
Arguments: [ca_address_sk#17], [ca_address_sk#17]

(32) ColumnarToRow [codegen id : 3]
Input [1]: [ca_address_sk#17]

(33) BroadcastExchange
Input [1]: [ca_address_sk#17]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]

(34) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [c_current_addr_sk#5]
Right keys [1]: [ca_address_sk#17]
Join type: Inner
Join condition: None

(35) Project [codegen id : 5]
Output [1]: [c_current_cdemo_sk#4]
Input [3]: [c_current_cdemo_sk#4, c_current_addr_sk#5, ca_address_sk#17]

(36) CometScan parquet spark_catalog.default.customer_demographics
Output [9]: [cd_demo_sk#19, cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]
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,cd_dep_count:int,cd_dep_employed_count:int,cd_dep_college_count:int>

(37) CometFilter
Input [9]: [cd_demo_sk#19, cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]
Condition : isnotnull(cd_demo_sk#19)

(38) ColumnarToRow [codegen id : 4]
Input [9]: [cd_demo_sk#19, cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]

(39) BroadcastExchange
Input [9]: [cd_demo_sk#19, cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=4]

(40) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [c_current_cdemo_sk#4]
Right keys [1]: [cd_demo_sk#19]
Join type: Inner
Join condition: None

(41) Project [codegen id : 5]
Output [8]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]
Input [10]: [c_current_cdemo_sk#4, cd_demo_sk#19, cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]

(42) HashAggregate [codegen id : 5]
Input [8]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]
Keys [8]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#28]
Results [9]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27, count#29]

(43) Exchange
Input [9]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27, count#29]
Arguments: hashpartitioning(cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27, 5), ENSURE_REQUIREMENTS, [plan_id=5]

(44) HashAggregate [codegen id : 6]
Input [9]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27, count#29]
Keys [8]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#30]
Results [14]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, count(1)#30 AS cnt1#31, cd_purchase_estimate#23, count(1)#30 AS cnt2#32, cd_credit_rating#24, count(1)#30 AS cnt3#33, cd_dep_count#25, count(1)#30 AS cnt4#34, cd_dep_employed_count#26, count(1)#30 AS cnt5#35, cd_dep_college_count#27, count(1)#30 AS cnt6#36]

(45) TakeOrderedAndProject
Input [14]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cnt1#31, cd_purchase_estimate#23, cnt2#32, cd_credit_rating#24, cnt3#33, cd_dep_count#25, cnt4#34, cd_dep_employed_count#26, cnt5#35, cd_dep_college_count#27, cnt6#36]
Arguments: 100, [cd_gender#20 ASC NULLS FIRST, cd_marital_status#21 ASC NULLS FIRST, cd_education_status#22 ASC NULLS FIRST, cd_purchase_estimate#23 ASC NULLS FIRST, cd_credit_rating#24 ASC NULLS FIRST, cd_dep_count#25 ASC NULLS FIRST, cd_dep_employed_count#26 ASC NULLS FIRST, cd_dep_college_count#27 ASC NULLS FIRST], [cd_gender#20, cd_marital_status#21, cd_education_status#22, cnt1#31, cd_purchase_estimate#23, cnt2#32, cd_credit_rating#24, cnt3#33, cd_dep_count#25, cnt4#34, cd_dep_employed_count#26, cnt5#35, cd_dep_college_count#27, cnt6#36]

