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


(1) Scan parquet default.store_sales
Output [6]: [ss_sold_date_sk#1, ss_item_sk#2, ss_customer_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_net_profit#6]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store_sales]
PushedFilters: [IsNotNull(ss_customer_sk), IsNotNull(ss_item_sk), IsNotNull(ss_ticket_number), IsNotNull(ss_sold_date_sk), IsNotNull(ss_store_sk)]
ReadSchema: struct<ss_sold_date_sk:int,ss_item_sk:int,ss_customer_sk:int,ss_store_sk:int,ss_ticket_number:int,ss_net_profit:decimal(7,2)>

(2) ColumnarToRow [codegen id : 8]
Input [6]: [ss_sold_date_sk#1, ss_item_sk#2, ss_customer_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_net_profit#6]

(3) Filter [codegen id : 8]
Input [6]: [ss_sold_date_sk#1, ss_item_sk#2, ss_customer_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_net_profit#6]
Condition : ((((isnotnull(ss_customer_sk#3) AND isnotnull(ss_item_sk#2)) AND isnotnull(ss_ticket_number#5)) AND isnotnull(ss_sold_date_sk#1)) AND isnotnull(ss_store_sk#4))

(4) Scan parquet default.store_returns
Output [5]: [sr_returned_date_sk#7, sr_item_sk#8, sr_customer_sk#9, sr_ticket_number#10, sr_net_loss#11]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store_returns]
PushedFilters: [IsNotNull(sr_customer_sk), IsNotNull(sr_item_sk), IsNotNull(sr_ticket_number), IsNotNull(sr_returned_date_sk)]
ReadSchema: struct<sr_returned_date_sk:bigint,sr_item_sk:bigint,sr_customer_sk:bigint,sr_ticket_number:bigint,sr_net_loss:decimal(7,2)>

(5) ColumnarToRow [codegen id : 1]
Input [5]: [sr_returned_date_sk#7, sr_item_sk#8, sr_customer_sk#9, sr_ticket_number#10, sr_net_loss#11]

(6) Filter [codegen id : 1]
Input [5]: [sr_returned_date_sk#7, sr_item_sk#8, sr_customer_sk#9, sr_ticket_number#10, sr_net_loss#11]
Condition : (((isnotnull(sr_customer_sk#9) AND isnotnull(sr_item_sk#8)) AND isnotnull(sr_ticket_number#10)) AND isnotnull(sr_returned_date_sk#7))

(7) BroadcastExchange
Input [5]: [sr_returned_date_sk#7, sr_item_sk#8, sr_customer_sk#9, sr_ticket_number#10, sr_net_loss#11]
Arguments: HashedRelationBroadcastMode(List(input[2, bigint, false], input[1, bigint, false], input[3, bigint, false]),false), [id=#12]

(8) BroadcastHashJoin [codegen id : 8]
Left keys [3]: [cast(ss_customer_sk#3 as bigint), cast(ss_item_sk#2 as bigint), cast(ss_ticket_number#5 as bigint)]
Right keys [3]: [sr_customer_sk#9, sr_item_sk#8, sr_ticket_number#10]
Join condition: None

(9) Project [codegen id : 8]
Output [8]: [ss_sold_date_sk#1, ss_item_sk#2, ss_store_sk#4, ss_net_profit#6, sr_returned_date_sk#7, sr_item_sk#8, sr_customer_sk#9, sr_net_loss#11]
Input [11]: [ss_sold_date_sk#1, ss_item_sk#2, ss_customer_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_net_profit#6, sr_returned_date_sk#7, sr_item_sk#8, sr_customer_sk#9, sr_ticket_number#10, sr_net_loss#11]

(10) Scan parquet default.catalog_sales
Output [4]: [cs_sold_date_sk#13, cs_bill_customer_sk#14, cs_item_sk#15, cs_net_profit#16]
Batched: true
Location [not included in comparison]/{warehouse_dir}/catalog_sales]
PushedFilters: [IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk), IsNotNull(cs_sold_date_sk)]
ReadSchema: struct<cs_sold_date_sk:int,cs_bill_customer_sk:int,cs_item_sk:int,cs_net_profit:decimal(7,2)>

(11) ColumnarToRow [codegen id : 2]
Input [4]: [cs_sold_date_sk#13, cs_bill_customer_sk#14, cs_item_sk#15, cs_net_profit#16]

(12) Filter [codegen id : 2]
Input [4]: [cs_sold_date_sk#13, cs_bill_customer_sk#14, cs_item_sk#15, cs_net_profit#16]
Condition : ((isnotnull(cs_bill_customer_sk#14) AND isnotnull(cs_item_sk#15)) AND isnotnull(cs_sold_date_sk#13))

(13) BroadcastExchange
Input [4]: [cs_sold_date_sk#13, cs_bill_customer_sk#14, cs_item_sk#15, cs_net_profit#16]
Arguments: HashedRelationBroadcastMode(List(cast(input[1, int, false] as bigint), cast(input[2, int, false] as bigint)),false), [id=#17]

(14) BroadcastHashJoin [codegen id : 8]
Left keys [2]: [sr_customer_sk#9, sr_item_sk#8]
Right keys [2]: [cast(cs_bill_customer_sk#14 as bigint), cast(cs_item_sk#15 as bigint)]
Join condition: None

(15) Project [codegen id : 8]
Output [8]: [ss_sold_date_sk#1, ss_item_sk#2, ss_store_sk#4, ss_net_profit#6, sr_returned_date_sk#7, sr_net_loss#11, cs_sold_date_sk#13, cs_net_profit#16]
Input [12]: [ss_sold_date_sk#1, ss_item_sk#2, ss_store_sk#4, ss_net_profit#6, sr_returned_date_sk#7, sr_item_sk#8, sr_customer_sk#9, sr_net_loss#11, cs_sold_date_sk#13, cs_bill_customer_sk#14, cs_item_sk#15, cs_net_profit#16]

(16) Scan parquet default.date_dim
Output [3]: [d_date_sk#18, d_year#19, d_moy#20]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,4), EqualTo(d_year,2001), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(17) ColumnarToRow [codegen id : 3]
Input [3]: [d_date_sk#18, d_year#19, d_moy#20]

(18) Filter [codegen id : 3]
Input [3]: [d_date_sk#18, d_year#19, d_moy#20]
Condition : ((((isnotnull(d_moy#20) AND isnotnull(d_year#19)) AND (d_moy#20 = 4)) AND (d_year#19 = 2001)) AND isnotnull(d_date_sk#18))

(19) Project [codegen id : 3]
Output [1]: [d_date_sk#18]
Input [3]: [d_date_sk#18, d_year#19, d_moy#20]

(20) BroadcastExchange
Input [1]: [d_date_sk#18]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#21]

(21) BroadcastHashJoin [codegen id : 8]
Left keys [1]: [ss_sold_date_sk#1]
Right keys [1]: [d_date_sk#18]
Join condition: None

(22) Project [codegen id : 8]
Output [7]: [ss_item_sk#2, ss_store_sk#4, ss_net_profit#6, sr_returned_date_sk#7, sr_net_loss#11, cs_sold_date_sk#13, cs_net_profit#16]
Input [9]: [ss_sold_date_sk#1, ss_item_sk#2, ss_store_sk#4, ss_net_profit#6, sr_returned_date_sk#7, sr_net_loss#11, cs_sold_date_sk#13, cs_net_profit#16, d_date_sk#18]

(23) Scan parquet default.date_dim
Output [3]: [d_date_sk#22, d_year#23, d_moy#24]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), GreaterThanOrEqual(d_moy,4), LessThanOrEqual(d_moy,10), EqualTo(d_year,2001), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(24) ColumnarToRow [codegen id : 4]
Input [3]: [d_date_sk#22, d_year#23, d_moy#24]

(25) Filter [codegen id : 4]
Input [3]: [d_date_sk#22, d_year#23, d_moy#24]
Condition : (((((isnotnull(d_moy#24) AND isnotnull(d_year#23)) AND (d_moy#24 >= 4)) AND (d_moy#24 <= 10)) AND (d_year#23 = 2001)) AND isnotnull(d_date_sk#22))

(26) Project [codegen id : 4]
Output [1]: [d_date_sk#22]
Input [3]: [d_date_sk#22, d_year#23, d_moy#24]

(27) BroadcastExchange
Input [1]: [d_date_sk#22]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#25]

(28) BroadcastHashJoin [codegen id : 8]
Left keys [1]: [sr_returned_date_sk#7]
Right keys [1]: [cast(d_date_sk#22 as bigint)]
Join condition: None

(29) Project [codegen id : 8]
Output [6]: [ss_item_sk#2, ss_store_sk#4, ss_net_profit#6, sr_net_loss#11, cs_sold_date_sk#13, cs_net_profit#16]
Input [8]: [ss_item_sk#2, ss_store_sk#4, ss_net_profit#6, sr_returned_date_sk#7, sr_net_loss#11, cs_sold_date_sk#13, cs_net_profit#16, d_date_sk#22]

(30) ReusedExchange [Reuses operator id: 27]
Output [1]: [d_date_sk#26]

(31) BroadcastHashJoin [codegen id : 8]
Left keys [1]: [cs_sold_date_sk#13]
Right keys [1]: [d_date_sk#26]
Join condition: None

(32) Project [codegen id : 8]
Output [5]: [ss_item_sk#2, ss_store_sk#4, ss_net_profit#6, sr_net_loss#11, cs_net_profit#16]
Input [7]: [ss_item_sk#2, ss_store_sk#4, ss_net_profit#6, sr_net_loss#11, cs_sold_date_sk#13, cs_net_profit#16, d_date_sk#26]

(33) Scan parquet default.store
Output [3]: [s_store_sk#27, s_store_id#28, s_store_name#29]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_store_id:string,s_store_name:string>

(34) ColumnarToRow [codegen id : 6]
Input [3]: [s_store_sk#27, s_store_id#28, s_store_name#29]

(35) Filter [codegen id : 6]
Input [3]: [s_store_sk#27, s_store_id#28, s_store_name#29]
Condition : isnotnull(s_store_sk#27)

(36) BroadcastExchange
Input [3]: [s_store_sk#27, s_store_id#28, s_store_name#29]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [id=#30]

(37) BroadcastHashJoin [codegen id : 8]
Left keys [1]: [ss_store_sk#4]
Right keys [1]: [s_store_sk#27]
Join condition: None

(38) Project [codegen id : 8]
Output [6]: [ss_item_sk#2, ss_net_profit#6, sr_net_loss#11, cs_net_profit#16, s_store_id#28, s_store_name#29]
Input [8]: [ss_item_sk#2, ss_store_sk#4, ss_net_profit#6, sr_net_loss#11, cs_net_profit#16, s_store_sk#27, s_store_id#28, s_store_name#29]

(39) Scan parquet default.item
Output [3]: [i_item_sk#31, i_item_id#32, i_item_desc#33]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_item_id:string,i_item_desc:string>

(40) ColumnarToRow [codegen id : 7]
Input [3]: [i_item_sk#31, i_item_id#32, i_item_desc#33]

(41) Filter [codegen id : 7]
Input [3]: [i_item_sk#31, i_item_id#32, i_item_desc#33]
Condition : isnotnull(i_item_sk#31)

(42) BroadcastExchange
Input [3]: [i_item_sk#31, i_item_id#32, i_item_desc#33]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [id=#34]

(43) BroadcastHashJoin [codegen id : 8]
Left keys [1]: [ss_item_sk#2]
Right keys [1]: [i_item_sk#31]
Join condition: None

(44) Project [codegen id : 8]
Output [7]: [ss_net_profit#6, sr_net_loss#11, cs_net_profit#16, s_store_id#28, s_store_name#29, i_item_id#32, i_item_desc#33]
Input [9]: [ss_item_sk#2, ss_net_profit#6, sr_net_loss#11, cs_net_profit#16, s_store_id#28, s_store_name#29, i_item_sk#31, i_item_id#32, i_item_desc#33]

(45) HashAggregate [codegen id : 8]
Input [7]: [ss_net_profit#6, sr_net_loss#11, cs_net_profit#16, s_store_id#28, s_store_name#29, i_item_id#32, i_item_desc#33]
Keys [4]: [i_item_id#32, i_item_desc#33, s_store_id#28, s_store_name#29]
Functions [3]: [partial_sum(UnscaledValue(ss_net_profit#6)), partial_sum(UnscaledValue(sr_net_loss#11)), partial_sum(UnscaledValue(cs_net_profit#16))]
Aggregate Attributes [3]: [sum#35, sum#36, sum#37]
Results [7]: [i_item_id#32, i_item_desc#33, s_store_id#28, s_store_name#29, sum#38, sum#39, sum#40]

(46) Exchange
Input [7]: [i_item_id#32, i_item_desc#33, s_store_id#28, s_store_name#29, sum#38, sum#39, sum#40]
Arguments: hashpartitioning(i_item_id#32, i_item_desc#33, s_store_id#28, s_store_name#29, 5), true, [id=#41]

(47) HashAggregate [codegen id : 9]
Input [7]: [i_item_id#32, i_item_desc#33, s_store_id#28, s_store_name#29, sum#38, sum#39, sum#40]
Keys [4]: [i_item_id#32, i_item_desc#33, s_store_id#28, s_store_name#29]
Functions [3]: [sum(UnscaledValue(ss_net_profit#6)), sum(UnscaledValue(sr_net_loss#11)), sum(UnscaledValue(cs_net_profit#16))]
Aggregate Attributes [3]: [sum(UnscaledValue(ss_net_profit#6))#42, sum(UnscaledValue(sr_net_loss#11))#43, sum(UnscaledValue(cs_net_profit#16))#44]
Results [7]: [i_item_id#32, i_item_desc#33, s_store_id#28, s_store_name#29, MakeDecimal(sum(UnscaledValue(ss_net_profit#6))#42,17,2) AS store_sales_profit#45, MakeDecimal(sum(UnscaledValue(sr_net_loss#11))#43,17,2) AS store_returns_loss#46, MakeDecimal(sum(UnscaledValue(cs_net_profit#16))#44,17,2) AS catalog_sales_profit#47]

(48) TakeOrderedAndProject
Input [7]: [i_item_id#32, i_item_desc#33, s_store_id#28, s_store_name#29, store_sales_profit#45, store_returns_loss#46, catalog_sales_profit#47]
Arguments: 100, [i_item_id#32 ASC NULLS FIRST, i_item_desc#33 ASC NULLS FIRST, s_store_id#28 ASC NULLS FIRST, s_store_name#29 ASC NULLS FIRST], [i_item_id#32, i_item_desc#33, s_store_id#28, s_store_name#29, store_sales_profit#45, store_returns_loss#46, catalog_sales_profit#47]

