== Physical Plan ==
TakeOrderedAndProject (48)
+- * HashAggregate (47)
   +- Exchange (46)
      +- * HashAggregate (45)
         +- * Project (44)
            +- * BroadcastHashJoin Inner BuildRight (43)
               :- * Project (38)
               :  +- * BroadcastHashJoin Inner BuildRight (37)
               :     :- * Project (31)
               :     :  +- * BroadcastHashJoin LeftSemi BuildRight (30)
               :     :     :- * BroadcastHashJoin LeftSemi BuildRight (15)
               :     :     :  :- * Filter (3)
               :     :     :  :  +- * ColumnarToRow (2)
               :     :     :  :     +- Scan parquet default.customer (1)
               :     :     :  +- BroadcastExchange (14)
               :     :     :     +- * Project (13)
               :     :     :        +- * BroadcastHashJoin Inner BuildRight (12)
               :     :     :           :- * Filter (6)
               :     :     :           :  +- * ColumnarToRow (5)
               :     :     :           :     +- Scan parquet default.store_sales (4)
               :     :     :           +- BroadcastExchange (11)
               :     :     :              +- * Project (10)
               :     :     :                 +- * Filter (9)
               :     :     :                    +- * ColumnarToRow (8)
               :     :     :                       +- Scan parquet default.date_dim (7)
               :     :     +- BroadcastExchange (29)
               :     :        +- Union (28)
               :     :           :- * Project (21)
               :     :           :  +- * BroadcastHashJoin Inner BuildRight (20)
               :     :           :     :- * Filter (18)
               :     :           :     :  +- * ColumnarToRow (17)
               :     :           :     :     +- Scan parquet default.web_sales (16)
               :     :           :     +- ReusedExchange (19)
               :     :           +- * Project (27)
               :     :              +- * BroadcastHashJoin Inner BuildRight (26)
               :     :                 :- * Filter (24)
               :     :                 :  +- * ColumnarToRow (23)
               :     :                 :     +- Scan parquet default.catalog_sales (22)
               :     :                 +- ReusedExchange (25)
               :     +- BroadcastExchange (36)
               :        +- * Project (35)
               :           +- * Filter (34)
               :              +- * ColumnarToRow (33)
               :                 +- Scan parquet default.customer_address (32)
               +- BroadcastExchange (42)
                  +- * Filter (41)
                     +- * ColumnarToRow (40)
                        +- Scan parquet default.customer_demographics (39)


(1) Scan parquet 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) ColumnarToRow [codegen id : 9]
Input [3]: [c_customer_sk#1, c_current_cdemo_sk#2, c_current_addr_sk#3]

(3) Filter [codegen id : 9]
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))

(4) Scan parquet default.store_sales
Output [2]: [ss_sold_date_sk#4, ss_customer_sk#5]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store_sales]
PushedFilters: [IsNotNull(ss_sold_date_sk)]
ReadSchema: struct<ss_sold_date_sk:int,ss_customer_sk:int>

(5) ColumnarToRow [codegen id : 2]
Input [2]: [ss_sold_date_sk#4, ss_customer_sk#5]

(6) Filter [codegen id : 2]
Input [2]: [ss_sold_date_sk#4, ss_customer_sk#5]
Condition : isnotnull(ss_sold_date_sk#4)

(7) Scan parquet default.date_dim
Output [3]: [d_date_sk#6, d_year#7, d_moy#8]
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,4), LessThanOrEqual(d_moy,7), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(8) ColumnarToRow [codegen id : 1]
Input [3]: [d_date_sk#6, d_year#7, d_moy#8]

(9) Filter [codegen id : 1]
Input [3]: [d_date_sk#6, d_year#7, d_moy#8]
Condition : (((((isnotnull(d_year#7) AND isnotnull(d_moy#8)) AND (d_year#7 = 2002)) AND (d_moy#8 >= 4)) AND (d_moy#8 <= 7)) AND isnotnull(d_date_sk#6))

(10) Project [codegen id : 1]
Output [1]: [d_date_sk#6]
Input [3]: [d_date_sk#6, d_year#7, d_moy#8]

(11) BroadcastExchange
Input [1]: [d_date_sk#6]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#9]

(12) BroadcastHashJoin [codegen id : 2]
Left keys [1]: [ss_sold_date_sk#4]
Right keys [1]: [d_date_sk#6]
Join condition: None

(13) Project [codegen id : 2]
Output [1]: [ss_customer_sk#5]
Input [3]: [ss_sold_date_sk#4, ss_customer_sk#5, d_date_sk#6]

(14) BroadcastExchange
Input [1]: [ss_customer_sk#5]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#10]

(15) BroadcastHashJoin [codegen id : 9]
Left keys [1]: [c_customer_sk#1]
Right keys [1]: [ss_customer_sk#5]
Join condition: None

(16) Scan parquet default.web_sales
Output [2]: [ws_sold_date_sk#11, ws_bill_customer_sk#12]
Batched: true
Location [not included in comparison]/{warehouse_dir}/web_sales]
PushedFilters: [IsNotNull(ws_sold_date_sk)]
ReadSchema: struct<ws_sold_date_sk:int,ws_bill_customer_sk:int>

(17) ColumnarToRow [codegen id : 4]
Input [2]: [ws_sold_date_sk#11, ws_bill_customer_sk#12]

(18) Filter [codegen id : 4]
Input [2]: [ws_sold_date_sk#11, ws_bill_customer_sk#12]
Condition : isnotnull(ws_sold_date_sk#11)

(19) ReusedExchange [Reuses operator id: 11]
Output [1]: [d_date_sk#6]

(20) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [ws_sold_date_sk#11]
Right keys [1]: [d_date_sk#6]
Join condition: None

(21) Project [codegen id : 4]
Output [1]: [ws_bill_customer_sk#12 AS customer_sk#13]
Input [3]: [ws_sold_date_sk#11, ws_bill_customer_sk#12, d_date_sk#6]

(22) Scan parquet default.catalog_sales
Output [2]: [cs_sold_date_sk#14, cs_ship_customer_sk#15]
Batched: true
Location [not included in comparison]/{warehouse_dir}/catalog_sales]
PushedFilters: [IsNotNull(cs_sold_date_sk)]
ReadSchema: struct<cs_sold_date_sk:int,cs_ship_customer_sk:int>

(23) ColumnarToRow [codegen id : 6]
Input [2]: [cs_sold_date_sk#14, cs_ship_customer_sk#15]

(24) Filter [codegen id : 6]
Input [2]: [cs_sold_date_sk#14, cs_ship_customer_sk#15]
Condition : isnotnull(cs_sold_date_sk#14)

(25) ReusedExchange [Reuses operator id: 11]
Output [1]: [d_date_sk#6]

(26) BroadcastHashJoin [codegen id : 6]
Left keys [1]: [cs_sold_date_sk#14]
Right keys [1]: [d_date_sk#6]
Join condition: None

(27) Project [codegen id : 6]
Output [1]: [cs_ship_customer_sk#15 AS customer_sk#16]
Input [3]: [cs_sold_date_sk#14, cs_ship_customer_sk#15, d_date_sk#6]

(28) Union

(29) BroadcastExchange
Input [1]: [customer_sk#13]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#17]

(30) BroadcastHashJoin [codegen id : 9]
Left keys [1]: [c_customer_sk#1]
Right keys [1]: [customer_sk#13]
Join condition: None

(31) Project [codegen id : 9]
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]

(32) Scan parquet default.customer_address
Output [2]: [ca_address_sk#18, ca_county#19]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_address]
PushedFilters: [In(ca_county, [Walker County,Richland County,Gaines County,Douglas County,Dona Ana County]), IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_county:string>

(33) ColumnarToRow [codegen id : 7]
Input [2]: [ca_address_sk#18, ca_county#19]

(34) Filter [codegen id : 7]
Input [2]: [ca_address_sk#18, ca_county#19]
Condition : (ca_county#19 IN (Walker County,Richland County,Gaines County,Douglas County,Dona Ana County) AND isnotnull(ca_address_sk#18))

(35) Project [codegen id : 7]
Output [1]: [ca_address_sk#18]
Input [2]: [ca_address_sk#18, ca_county#19]

(36) BroadcastExchange
Input [1]: [ca_address_sk#18]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#20]

(37) BroadcastHashJoin [codegen id : 9]
Left keys [1]: [c_current_addr_sk#3]
Right keys [1]: [ca_address_sk#18]
Join condition: None

(38) Project [codegen id : 9]
Output [1]: [c_current_cdemo_sk#2]
Input [3]: [c_current_cdemo_sk#2, c_current_addr_sk#3, ca_address_sk#18]

(39) Scan parquet default.customer_demographics
Output [9]: [cd_demo_sk#21, cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#25, cd_credit_rating#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]
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>

(40) ColumnarToRow [codegen id : 8]
Input [9]: [cd_demo_sk#21, cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#25, cd_credit_rating#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]

(41) Filter [codegen id : 8]
Input [9]: [cd_demo_sk#21, cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#25, cd_credit_rating#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]
Condition : isnotnull(cd_demo_sk#21)

(42) BroadcastExchange
Input [9]: [cd_demo_sk#21, cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#25, cd_credit_rating#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [id=#30]

(43) BroadcastHashJoin [codegen id : 9]
Left keys [1]: [c_current_cdemo_sk#2]
Right keys [1]: [cd_demo_sk#21]
Join condition: None

(44) Project [codegen id : 9]
Output [8]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#25, cd_credit_rating#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]
Input [10]: [c_current_cdemo_sk#2, cd_demo_sk#21, cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#25, cd_credit_rating#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]

(45) HashAggregate [codegen id : 9]
Input [8]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#25, cd_credit_rating#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]
Keys [8]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#25, cd_credit_rating#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#31]
Results [9]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#25, cd_credit_rating#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29, count#32]

(46) Exchange
Input [9]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#25, cd_credit_rating#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29, count#32]
Arguments: hashpartitioning(cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#25, cd_credit_rating#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29, 5), true, [id=#33]

(47) HashAggregate [codegen id : 10]
Input [9]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#25, cd_credit_rating#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29, count#32]
Keys [8]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#25, cd_credit_rating#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#34]
Results [14]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, count(1)#34 AS cnt1#35, cd_purchase_estimate#25, count(1)#34 AS cnt2#36, cd_credit_rating#26, count(1)#34 AS cnt3#37, cd_dep_count#27, count(1)#34 AS cnt4#38, cd_dep_employed_count#28, count(1)#34 AS cnt5#39, cd_dep_college_count#29, count(1)#34 AS cnt6#40]

(48) TakeOrderedAndProject
Input [14]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cnt1#35, cd_purchase_estimate#25, cnt2#36, cd_credit_rating#26, cnt3#37, cd_dep_count#27, cnt4#38, cd_dep_employed_count#28, cnt5#39, cd_dep_college_count#29, cnt6#40]
Arguments: 100, [cd_gender#22 ASC NULLS FIRST, cd_marital_status#23 ASC NULLS FIRST, cd_education_status#24 ASC NULLS FIRST, cd_purchase_estimate#25 ASC NULLS FIRST, cd_credit_rating#26 ASC NULLS FIRST, cd_dep_count#27 ASC NULLS FIRST, cd_dep_employed_count#28 ASC NULLS FIRST, cd_dep_college_count#29 ASC NULLS FIRST], [cd_gender#22, cd_marital_status#23, cd_education_status#24, cnt1#35, cd_purchase_estimate#25, cnt2#36, cd_credit_rating#26, cnt3#37, cd_dep_count#27, cnt4#38, cd_dep_employed_count#28, cnt5#39, cd_dep_college_count#29, cnt6#40]

