== Physical Plan ==
* ColumnarToRow (45)
+- CometTakeOrderedAndProject (44)
   +- CometHashAggregate (43)
      +- CometExchange (42)
         +- CometHashAggregate (41)
            +- CometProject (40)
               +- CometBroadcastHashJoin (39)
                  :- CometProject (35)
                  :  +- CometBroadcastHashJoin (34)
                  :     :- CometProject (30)
                  :     :  +- CometBroadcastHashJoin (29)
                  :     :     :- CometProject (24)
                  :     :     :  +- CometBroadcastHashJoin (23)
                  :     :     :     :- CometProject (18)
                  :     :     :     :  +- CometBroadcastHashJoin (17)
                  :     :     :     :     :- CometProject (12)
                  :     :     :     :     :  +- CometBroadcastHashJoin (11)
                  :     :     :     :     :     :- CometProject (7)
                  :     :     :     :     :     :  +- CometBroadcastHashJoin (6)
                  :     :     :     :     :     :     :- CometFilter (2)
                  :     :     :     :     :     :     :  +- CometScan parquet spark_catalog.default.store_sales (1)
                  :     :     :     :     :     :     +- CometBroadcastExchange (5)
                  :     :     :     :     :     :        +- CometFilter (4)
                  :     :     :     :     :     :           +- CometScan parquet spark_catalog.default.store_returns (3)
                  :     :     :     :     :     +- CometBroadcastExchange (10)
                  :     :     :     :     :        +- CometFilter (9)
                  :     :     :     :     :           +- CometScan parquet spark_catalog.default.catalog_sales (8)
                  :     :     :     :     +- CometBroadcastExchange (16)
                  :     :     :     :        +- CometProject (15)
                  :     :     :     :           +- CometFilter (14)
                  :     :     :     :              +- CometScan parquet spark_catalog.default.date_dim (13)
                  :     :     :     +- CometBroadcastExchange (22)
                  :     :     :        +- CometProject (21)
                  :     :     :           +- CometFilter (20)
                  :     :     :              +- CometScan parquet spark_catalog.default.date_dim (19)
                  :     :     +- CometBroadcastExchange (28)
                  :     :        +- CometProject (27)
                  :     :           +- CometFilter (26)
                  :     :              +- CometScan parquet spark_catalog.default.date_dim (25)
                  :     +- CometBroadcastExchange (33)
                  :        +- CometFilter (32)
                  :           +- CometScan parquet spark_catalog.default.store (31)
                  +- CometBroadcastExchange (38)
                     +- CometFilter (37)
                        +- CometScan parquet spark_catalog.default.item (36)


(1) CometScan parquet spark_catalog.default.store_sales
Output [6]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_quantity#5, ss_sold_date_sk#6]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#6)]
PushedFilters: [IsNotNull(ss_customer_sk), IsNotNull(ss_item_sk), IsNotNull(ss_ticket_number), IsNotNull(ss_store_sk)]
ReadSchema: struct<ss_item_sk:int,ss_customer_sk:int,ss_store_sk:int,ss_ticket_number:int,ss_quantity:int>

(2) CometFilter
Input [6]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_quantity#5, ss_sold_date_sk#6]
Condition : (((isnotnull(ss_customer_sk#2) AND isnotnull(ss_item_sk#1)) AND isnotnull(ss_ticket_number#4)) AND isnotnull(ss_store_sk#3))

(3) CometScan parquet spark_catalog.default.store_returns
Output [5]: [sr_item_sk#7, sr_customer_sk#8, sr_ticket_number#9, sr_return_quantity#10, sr_returned_date_sk#11]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(sr_returned_date_sk#11)]
PushedFilters: [IsNotNull(sr_customer_sk), IsNotNull(sr_item_sk), IsNotNull(sr_ticket_number)]
ReadSchema: struct<sr_item_sk:int,sr_customer_sk:int,sr_ticket_number:int,sr_return_quantity:int>

(4) CometFilter
Input [5]: [sr_item_sk#7, sr_customer_sk#8, sr_ticket_number#9, sr_return_quantity#10, sr_returned_date_sk#11]
Condition : ((isnotnull(sr_customer_sk#8) AND isnotnull(sr_item_sk#7)) AND isnotnull(sr_ticket_number#9))

(5) CometBroadcastExchange
Input [5]: [sr_item_sk#7, sr_customer_sk#8, sr_ticket_number#9, sr_return_quantity#10, sr_returned_date_sk#11]
Arguments: [sr_item_sk#7, sr_customer_sk#8, sr_ticket_number#9, sr_return_quantity#10, sr_returned_date_sk#11]

(6) CometBroadcastHashJoin
Left output [6]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_quantity#5, ss_sold_date_sk#6]
Right output [5]: [sr_item_sk#7, sr_customer_sk#8, sr_ticket_number#9, sr_return_quantity#10, sr_returned_date_sk#11]
Arguments: [ss_customer_sk#2, ss_item_sk#1, ss_ticket_number#4], [sr_customer_sk#8, sr_item_sk#7, sr_ticket_number#9], Inner, BuildRight

(7) CometProject
Input [11]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_quantity#5, ss_sold_date_sk#6, sr_item_sk#7, sr_customer_sk#8, sr_ticket_number#9, sr_return_quantity#10, sr_returned_date_sk#11]
Arguments: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_item_sk#7, sr_customer_sk#8, sr_return_quantity#10, sr_returned_date_sk#11], [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_item_sk#7, sr_customer_sk#8, sr_return_quantity#10, sr_returned_date_sk#11]

(8) CometScan parquet spark_catalog.default.catalog_sales
Output [4]: [cs_bill_customer_sk#12, cs_item_sk#13, cs_quantity#14, cs_sold_date_sk#15]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#15)]
PushedFilters: [IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)]
ReadSchema: struct<cs_bill_customer_sk:int,cs_item_sk:int,cs_quantity:int>

(9) CometFilter
Input [4]: [cs_bill_customer_sk#12, cs_item_sk#13, cs_quantity#14, cs_sold_date_sk#15]
Condition : (isnotnull(cs_bill_customer_sk#12) AND isnotnull(cs_item_sk#13))

(10) CometBroadcastExchange
Input [4]: [cs_bill_customer_sk#12, cs_item_sk#13, cs_quantity#14, cs_sold_date_sk#15]
Arguments: [cs_bill_customer_sk#12, cs_item_sk#13, cs_quantity#14, cs_sold_date_sk#15]

(11) CometBroadcastHashJoin
Left output [8]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_item_sk#7, sr_customer_sk#8, sr_return_quantity#10, sr_returned_date_sk#11]
Right output [4]: [cs_bill_customer_sk#12, cs_item_sk#13, cs_quantity#14, cs_sold_date_sk#15]
Arguments: [sr_customer_sk#8, sr_item_sk#7], [cs_bill_customer_sk#12, cs_item_sk#13], Inner, BuildRight

(12) CometProject
Input [12]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_item_sk#7, sr_customer_sk#8, sr_return_quantity#10, sr_returned_date_sk#11, cs_bill_customer_sk#12, cs_item_sk#13, cs_quantity#14, cs_sold_date_sk#15]
Arguments: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_return_quantity#10, sr_returned_date_sk#11, cs_quantity#14, cs_sold_date_sk#15], [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_return_quantity#10, sr_returned_date_sk#11, cs_quantity#14, cs_sold_date_sk#15]

(13) CometScan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#16, d_year#17, d_moy#18]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,9), EqualTo(d_year,1999), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(14) CometFilter
Input [3]: [d_date_sk#16, d_year#17, d_moy#18]
Condition : ((((isnotnull(d_moy#18) AND isnotnull(d_year#17)) AND (d_moy#18 = 9)) AND (d_year#17 = 1999)) AND isnotnull(d_date_sk#16))

(15) CometProject
Input [3]: [d_date_sk#16, d_year#17, d_moy#18]
Arguments: [d_date_sk#16], [d_date_sk#16]

(16) CometBroadcastExchange
Input [1]: [d_date_sk#16]
Arguments: [d_date_sk#16]

(17) CometBroadcastHashJoin
Left output [8]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_return_quantity#10, sr_returned_date_sk#11, cs_quantity#14, cs_sold_date_sk#15]
Right output [1]: [d_date_sk#16]
Arguments: [ss_sold_date_sk#6], [d_date_sk#16], Inner, BuildRight

(18) CometProject
Input [9]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, ss_sold_date_sk#6, sr_return_quantity#10, sr_returned_date_sk#11, cs_quantity#14, cs_sold_date_sk#15, d_date_sk#16]
Arguments: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#10, sr_returned_date_sk#11, cs_quantity#14, cs_sold_date_sk#15], [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#10, sr_returned_date_sk#11, cs_quantity#14, cs_sold_date_sk#15]

(19) CometScan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#19, d_year#20, d_moy#21]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), GreaterThanOrEqual(d_moy,9), LessThanOrEqual(d_moy,12), EqualTo(d_year,1999), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(20) CometFilter
Input [3]: [d_date_sk#19, d_year#20, d_moy#21]
Condition : (((((isnotnull(d_moy#21) AND isnotnull(d_year#20)) AND (d_moy#21 >= 9)) AND (d_moy#21 <= 12)) AND (d_year#20 = 1999)) AND isnotnull(d_date_sk#19))

(21) CometProject
Input [3]: [d_date_sk#19, d_year#20, d_moy#21]
Arguments: [d_date_sk#19], [d_date_sk#19]

(22) CometBroadcastExchange
Input [1]: [d_date_sk#19]
Arguments: [d_date_sk#19]

(23) CometBroadcastHashJoin
Left output [7]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#10, sr_returned_date_sk#11, cs_quantity#14, cs_sold_date_sk#15]
Right output [1]: [d_date_sk#19]
Arguments: [sr_returned_date_sk#11], [d_date_sk#19], Inner, BuildRight

(24) CometProject
Input [8]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#10, sr_returned_date_sk#11, cs_quantity#14, cs_sold_date_sk#15, d_date_sk#19]
Arguments: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#10, cs_quantity#14, cs_sold_date_sk#15], [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#10, cs_quantity#14, cs_sold_date_sk#15]

(25) CometScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#22, d_year#23]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(26) CometFilter
Input [2]: [d_date_sk#22, d_year#23]
Condition : (d_year#23 IN (1999,2000,2001) AND isnotnull(d_date_sk#22))

(27) CometProject
Input [2]: [d_date_sk#22, d_year#23]
Arguments: [d_date_sk#22], [d_date_sk#22]

(28) CometBroadcastExchange
Input [1]: [d_date_sk#22]
Arguments: [d_date_sk#22]

(29) CometBroadcastHashJoin
Left output [6]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#10, cs_quantity#14, cs_sold_date_sk#15]
Right output [1]: [d_date_sk#22]
Arguments: [cs_sold_date_sk#15], [d_date_sk#22], Inner, BuildRight

(30) CometProject
Input [7]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#10, cs_quantity#14, cs_sold_date_sk#15, d_date_sk#22]
Arguments: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#10, cs_quantity#14], [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#10, cs_quantity#14]

(31) CometScan parquet spark_catalog.default.store
Output [3]: [s_store_sk#24, s_store_id#25, s_store_name#26]
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>

(32) CometFilter
Input [3]: [s_store_sk#24, s_store_id#25, s_store_name#26]
Condition : isnotnull(s_store_sk#24)

(33) CometBroadcastExchange
Input [3]: [s_store_sk#24, s_store_id#25, s_store_name#26]
Arguments: [s_store_sk#24, s_store_id#25, s_store_name#26]

(34) CometBroadcastHashJoin
Left output [5]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#10, cs_quantity#14]
Right output [3]: [s_store_sk#24, s_store_id#25, s_store_name#26]
Arguments: [ss_store_sk#3], [s_store_sk#24], Inner, BuildRight

(35) CometProject
Input [8]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#5, sr_return_quantity#10, cs_quantity#14, s_store_sk#24, s_store_id#25, s_store_name#26]
Arguments: [ss_item_sk#1, ss_quantity#5, sr_return_quantity#10, cs_quantity#14, s_store_id#25, s_store_name#26], [ss_item_sk#1, ss_quantity#5, sr_return_quantity#10, cs_quantity#14, s_store_id#25, s_store_name#26]

(36) CometScan parquet spark_catalog.default.item
Output [3]: [i_item_sk#27, i_item_id#28, i_item_desc#29]
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>

(37) CometFilter
Input [3]: [i_item_sk#27, i_item_id#28, i_item_desc#29]
Condition : isnotnull(i_item_sk#27)

(38) CometBroadcastExchange
Input [3]: [i_item_sk#27, i_item_id#28, i_item_desc#29]
Arguments: [i_item_sk#27, i_item_id#28, i_item_desc#29]

(39) CometBroadcastHashJoin
Left output [6]: [ss_item_sk#1, ss_quantity#5, sr_return_quantity#10, cs_quantity#14, s_store_id#25, s_store_name#26]
Right output [3]: [i_item_sk#27, i_item_id#28, i_item_desc#29]
Arguments: [ss_item_sk#1], [i_item_sk#27], Inner, BuildRight

(40) CometProject
Input [9]: [ss_item_sk#1, ss_quantity#5, sr_return_quantity#10, cs_quantity#14, s_store_id#25, s_store_name#26, i_item_sk#27, i_item_id#28, i_item_desc#29]
Arguments: [ss_quantity#5, sr_return_quantity#10, cs_quantity#14, s_store_id#25, s_store_name#26, i_item_id#28, i_item_desc#29], [ss_quantity#5, sr_return_quantity#10, cs_quantity#14, s_store_id#25, s_store_name#26, i_item_id#28, i_item_desc#29]

(41) CometHashAggregate
Input [7]: [ss_quantity#5, sr_return_quantity#10, cs_quantity#14, s_store_id#25, s_store_name#26, i_item_id#28, i_item_desc#29]
Keys [4]: [i_item_id#28, i_item_desc#29, s_store_id#25, s_store_name#26]
Functions [3]: [partial_sum(ss_quantity#5), partial_sum(sr_return_quantity#10), partial_sum(cs_quantity#14)]

(42) CometExchange
Input [7]: [i_item_id#28, i_item_desc#29, s_store_id#25, s_store_name#26, sum#30, sum#31, sum#32]
Arguments: hashpartitioning(i_item_id#28, i_item_desc#29, s_store_id#25, s_store_name#26, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(43) CometHashAggregate
Input [7]: [i_item_id#28, i_item_desc#29, s_store_id#25, s_store_name#26, sum#30, sum#31, sum#32]
Keys [4]: [i_item_id#28, i_item_desc#29, s_store_id#25, s_store_name#26]
Functions [3]: [sum(ss_quantity#5), sum(sr_return_quantity#10), sum(cs_quantity#14)]

(44) CometTakeOrderedAndProject
Input [7]: [i_item_id#28, i_item_desc#29, s_store_id#25, s_store_name#26, store_sales_quantity#33, store_returns_quantity#34, catalog_sales_quantity#35]
Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#28 ASC NULLS FIRST,i_item_desc#29 ASC NULLS FIRST,s_store_id#25 ASC NULLS FIRST,s_store_name#26 ASC NULLS FIRST], output=[i_item_id#28,i_item_desc#29,s_store_id#25,s_store_name#26,store_sales_quantity#33,store_returns_quantity#34,catalog_sales_quantity#35]), [i_item_id#28, i_item_desc#29, s_store_id#25, s_store_name#26, store_sales_quantity#33, store_returns_quantity#34, catalog_sales_quantity#35], 100, [i_item_id#28 ASC NULLS FIRST, i_item_desc#29 ASC NULLS FIRST, s_store_id#25 ASC NULLS FIRST, s_store_name#26 ASC NULLS FIRST], [i_item_id#28, i_item_desc#29, s_store_id#25, s_store_name#26, store_sales_quantity#33, store_returns_quantity#34, catalog_sales_quantity#35]

(45) ColumnarToRow [codegen id : 1]
Input [7]: [i_item_id#28, i_item_desc#29, s_store_id#25, s_store_name#26, store_sales_quantity#33, store_returns_quantity#34, catalog_sales_quantity#35]

