== Physical Plan ==
TakeOrderedAndProject (70)
+- * HashAggregate (69)
   +- Exchange (68)
      +- * HashAggregate (67)
         +- * Expand (66)
            +- Union (65)
               :- * HashAggregate (22)
               :  +- * ColumnarToRow (21)
               :     +- CometExchange (20)
               :        +- CometHashAggregate (19)
               :           +- CometProject (18)
               :              +- CometBroadcastHashJoin (17)
               :                 :- CometProject (13)
               :                 :  +- CometBroadcastHashJoin (12)
               :                 :     :- CometUnion (7)
               :                 :     :  :- CometProject (3)
               :                 :     :  :  +- CometFilter (2)
               :                 :     :  :     +- CometScan parquet spark_catalog.default.store_sales (1)
               :                 :     :  +- CometProject (6)
               :                 :     :     +- CometFilter (5)
               :                 :     :        +- CometScan parquet spark_catalog.default.store_returns (4)
               :                 :     +- CometBroadcastExchange (11)
               :                 :        +- CometProject (10)
               :                 :           +- CometFilter (9)
               :                 :              +- CometScan parquet spark_catalog.default.date_dim (8)
               :                 +- CometBroadcastExchange (16)
               :                    +- CometFilter (15)
               :                       +- CometScan parquet spark_catalog.default.store (14)
               :- * HashAggregate (41)
               :  +- * ColumnarToRow (40)
               :     +- CometExchange (39)
               :        +- CometHashAggregate (38)
               :           +- CometProject (37)
               :              +- CometBroadcastHashJoin (36)
               :                 :- CometProject (32)
               :                 :  +- CometBroadcastHashJoin (31)
               :                 :     :- CometUnion (29)
               :                 :     :  :- CometProject (25)
               :                 :     :  :  +- CometFilter (24)
               :                 :     :  :     +- CometScan parquet spark_catalog.default.catalog_sales (23)
               :                 :     :  +- CometProject (28)
               :                 :     :     +- CometFilter (27)
               :                 :     :        +- CometScan parquet spark_catalog.default.catalog_returns (26)
               :                 :     +- ReusedExchange (30)
               :                 +- CometBroadcastExchange (35)
               :                    +- CometFilter (34)
               :                       +- CometScan parquet spark_catalog.default.catalog_page (33)
               +- * HashAggregate (64)
                  +- * ColumnarToRow (63)
                     +- CometExchange (62)
                        +- CometHashAggregate (61)
                           +- CometProject (60)
                              +- CometBroadcastHashJoin (59)
                                 :- CometProject (55)
                                 :  +- CometBroadcastHashJoin (54)
                                 :     :- CometUnion (52)
                                 :     :  :- CometProject (44)
                                 :     :  :  +- CometFilter (43)
                                 :     :  :     +- CometScan parquet spark_catalog.default.web_sales (42)
                                 :     :  +- CometProject (51)
                                 :     :     +- CometBroadcastHashJoin (50)
                                 :     :        :- CometBroadcastExchange (46)
                                 :     :        :  +- CometScan parquet spark_catalog.default.web_returns (45)
                                 :     :        +- CometProject (49)
                                 :     :           +- CometFilter (48)
                                 :     :              +- CometScan parquet spark_catalog.default.web_sales (47)
                                 :     +- ReusedExchange (53)
                                 +- CometBroadcastExchange (58)
                                    +- CometFilter (57)
                                       +- CometScan parquet spark_catalog.default.web_site (56)


(1) CometScan parquet spark_catalog.default.store_sales
Output [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_sk#4]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#4), dynamicpruningexpression(ss_sold_date_sk#4 IN dynamicpruning#5)]
PushedFilters: [IsNotNull(ss_store_sk)]
ReadSchema: struct<ss_store_sk:int,ss_ext_sales_price:decimal(7,2),ss_net_profit:decimal(7,2)>

(2) CometFilter
Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_sk#4]
Condition : isnotnull(ss_store_sk#1)

(3) CometProject
Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_sk#4]
Arguments: [store_sk#6, date_sk#7, sales_price#8, profit#9, return_amt#10, net_loss#11], [ss_store_sk#1 AS store_sk#6, ss_sold_date_sk#4 AS date_sk#7, ss_ext_sales_price#2 AS sales_price#8, ss_net_profit#3 AS profit#9, 0.00 AS return_amt#10, 0.00 AS net_loss#11]

(4) CometScan parquet spark_catalog.default.store_returns
Output [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(sr_returned_date_sk#15), dynamicpruningexpression(sr_returned_date_sk#15 IN dynamicpruning#5)]
PushedFilters: [IsNotNull(sr_store_sk)]
ReadSchema: struct<sr_store_sk:int,sr_return_amt:decimal(7,2),sr_net_loss:decimal(7,2)>

(5) CometFilter
Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15]
Condition : isnotnull(sr_store_sk#12)

(6) CometProject
Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15]
Arguments: [store_sk#16, date_sk#17, sales_price#18, profit#19, return_amt#20, net_loss#21], [sr_store_sk#12 AS store_sk#16, sr_returned_date_sk#15 AS date_sk#17, 0.00 AS sales_price#18, 0.00 AS profit#19, sr_return_amt#13 AS return_amt#20, sr_net_loss#14 AS net_loss#21]

(7) CometUnion
Child 0 Input [6]: [store_sk#6, date_sk#7, sales_price#8, profit#9, return_amt#10, net_loss#11]
Child 1 Input [6]: [store_sk#16, date_sk#17, sales_price#18, profit#19, return_amt#20, net_loss#21]

(8) CometScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#22, d_date#23]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-08-23), LessThanOrEqual(d_date,2000-09-06), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(9) CometFilter
Input [2]: [d_date_sk#22, d_date#23]
Condition : (((isnotnull(d_date#23) AND (d_date#23 >= 2000-08-23)) AND (d_date#23 <= 2000-09-06)) AND isnotnull(d_date_sk#22))

(10) CometProject
Input [2]: [d_date_sk#22, d_date#23]
Arguments: [d_date_sk#22], [d_date_sk#22]

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

(12) CometBroadcastHashJoin
Left output [6]: [store_sk#6, date_sk#7, sales_price#8, profit#9, return_amt#10, net_loss#11]
Right output [1]: [d_date_sk#22]
Arguments: [date_sk#7], [d_date_sk#22], Inner, BuildRight

(13) CometProject
Input [7]: [store_sk#6, date_sk#7, sales_price#8, profit#9, return_amt#10, net_loss#11, d_date_sk#22]
Arguments: [store_sk#6, sales_price#8, profit#9, return_amt#10, net_loss#11], [store_sk#6, sales_price#8, profit#9, return_amt#10, net_loss#11]

(14) CometScan parquet spark_catalog.default.store
Output [2]: [s_store_sk#24, s_store_id#25]
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>

(15) CometFilter
Input [2]: [s_store_sk#24, s_store_id#25]
Condition : isnotnull(s_store_sk#24)

(16) CometBroadcastExchange
Input [2]: [s_store_sk#24, s_store_id#25]
Arguments: [s_store_sk#24, s_store_id#25]

(17) CometBroadcastHashJoin
Left output [5]: [store_sk#6, sales_price#8, profit#9, return_amt#10, net_loss#11]
Right output [2]: [s_store_sk#24, s_store_id#25]
Arguments: [store_sk#6], [s_store_sk#24], Inner, BuildRight

(18) CometProject
Input [7]: [store_sk#6, sales_price#8, profit#9, return_amt#10, net_loss#11, s_store_sk#24, s_store_id#25]
Arguments: [sales_price#8, profit#9, return_amt#10, net_loss#11, s_store_id#25], [sales_price#8, profit#9, return_amt#10, net_loss#11, s_store_id#25]

(19) CometHashAggregate
Input [5]: [sales_price#8, profit#9, return_amt#10, net_loss#11, s_store_id#25]
Keys [1]: [s_store_id#25]
Functions [4]: [partial_sum(UnscaledValue(sales_price#8)), partial_sum(UnscaledValue(return_amt#10)), partial_sum(UnscaledValue(profit#9)), partial_sum(UnscaledValue(net_loss#11))]

(20) CometExchange
Input [5]: [s_store_id#25, sum#26, sum#27, sum#28, sum#29]
Arguments: hashpartitioning(s_store_id#25, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(21) ColumnarToRow [codegen id : 1]
Input [5]: [s_store_id#25, sum#26, sum#27, sum#28, sum#29]

(22) HashAggregate [codegen id : 1]
Input [5]: [s_store_id#25, sum#26, sum#27, sum#28, sum#29]
Keys [1]: [s_store_id#25]
Functions [4]: [sum(UnscaledValue(sales_price#8)), sum(UnscaledValue(return_amt#10)), sum(UnscaledValue(profit#9)), sum(UnscaledValue(net_loss#11))]
Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#8))#30, sum(UnscaledValue(return_amt#10))#31, sum(UnscaledValue(profit#9))#32, sum(UnscaledValue(net_loss#11))#33]
Results [5]: [MakeDecimal(sum(UnscaledValue(sales_price#8))#30,17,2) AS sales#34, MakeDecimal(sum(UnscaledValue(return_amt#10))#31,17,2) AS returns#35, (MakeDecimal(sum(UnscaledValue(profit#9))#32,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#11))#33,17,2)) AS profit#36, store channel AS channel#37, concat(store, s_store_id#25) AS id#38]

(23) CometScan parquet spark_catalog.default.catalog_sales
Output [4]: [cs_catalog_page_sk#39, cs_ext_sales_price#40, cs_net_profit#41, cs_sold_date_sk#42]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#42), dynamicpruningexpression(cs_sold_date_sk#42 IN dynamicpruning#43)]
PushedFilters: [IsNotNull(cs_catalog_page_sk)]
ReadSchema: struct<cs_catalog_page_sk:int,cs_ext_sales_price:decimal(7,2),cs_net_profit:decimal(7,2)>

(24) CometFilter
Input [4]: [cs_catalog_page_sk#39, cs_ext_sales_price#40, cs_net_profit#41, cs_sold_date_sk#42]
Condition : isnotnull(cs_catalog_page_sk#39)

(25) CometProject
Input [4]: [cs_catalog_page_sk#39, cs_ext_sales_price#40, cs_net_profit#41, cs_sold_date_sk#42]
Arguments: [page_sk#44, date_sk#45, sales_price#46, profit#47, return_amt#48, net_loss#49], [cs_catalog_page_sk#39 AS page_sk#44, cs_sold_date_sk#42 AS date_sk#45, cs_ext_sales_price#40 AS sales_price#46, cs_net_profit#41 AS profit#47, 0.00 AS return_amt#48, 0.00 AS net_loss#49]

(26) CometScan parquet spark_catalog.default.catalog_returns
Output [4]: [cr_catalog_page_sk#50, cr_return_amount#51, cr_net_loss#52, cr_returned_date_sk#53]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cr_returned_date_sk#53), dynamicpruningexpression(cr_returned_date_sk#53 IN dynamicpruning#43)]
PushedFilters: [IsNotNull(cr_catalog_page_sk)]
ReadSchema: struct<cr_catalog_page_sk:int,cr_return_amount:decimal(7,2),cr_net_loss:decimal(7,2)>

(27) CometFilter
Input [4]: [cr_catalog_page_sk#50, cr_return_amount#51, cr_net_loss#52, cr_returned_date_sk#53]
Condition : isnotnull(cr_catalog_page_sk#50)

(28) CometProject
Input [4]: [cr_catalog_page_sk#50, cr_return_amount#51, cr_net_loss#52, cr_returned_date_sk#53]
Arguments: [page_sk#54, date_sk#55, sales_price#56, profit#57, return_amt#58, net_loss#59], [cr_catalog_page_sk#50 AS page_sk#54, cr_returned_date_sk#53 AS date_sk#55, 0.00 AS sales_price#56, 0.00 AS profit#57, cr_return_amount#51 AS return_amt#58, cr_net_loss#52 AS net_loss#59]

(29) CometUnion
Child 0 Input [6]: [page_sk#44, date_sk#45, sales_price#46, profit#47, return_amt#48, net_loss#49]
Child 1 Input [6]: [page_sk#54, date_sk#55, sales_price#56, profit#57, return_amt#58, net_loss#59]

(30) ReusedExchange [Reuses operator id: 11]
Output [1]: [d_date_sk#60]

(31) CometBroadcastHashJoin
Left output [6]: [page_sk#44, date_sk#45, sales_price#46, profit#47, return_amt#48, net_loss#49]
Right output [1]: [d_date_sk#60]
Arguments: [date_sk#45], [d_date_sk#60], Inner, BuildRight

(32) CometProject
Input [7]: [page_sk#44, date_sk#45, sales_price#46, profit#47, return_amt#48, net_loss#49, d_date_sk#60]
Arguments: [page_sk#44, sales_price#46, profit#47, return_amt#48, net_loss#49], [page_sk#44, sales_price#46, profit#47, return_amt#48, net_loss#49]

(33) CometScan parquet spark_catalog.default.catalog_page
Output [2]: [cp_catalog_page_sk#61, cp_catalog_page_id#62]
Batched: true
Location [not included in comparison]/{warehouse_dir}/catalog_page]
PushedFilters: [IsNotNull(cp_catalog_page_sk)]
ReadSchema: struct<cp_catalog_page_sk:int,cp_catalog_page_id:string>

(34) CometFilter
Input [2]: [cp_catalog_page_sk#61, cp_catalog_page_id#62]
Condition : isnotnull(cp_catalog_page_sk#61)

(35) CometBroadcastExchange
Input [2]: [cp_catalog_page_sk#61, cp_catalog_page_id#62]
Arguments: [cp_catalog_page_sk#61, cp_catalog_page_id#62]

(36) CometBroadcastHashJoin
Left output [5]: [page_sk#44, sales_price#46, profit#47, return_amt#48, net_loss#49]
Right output [2]: [cp_catalog_page_sk#61, cp_catalog_page_id#62]
Arguments: [page_sk#44], [cp_catalog_page_sk#61], Inner, BuildRight

(37) CometProject
Input [7]: [page_sk#44, sales_price#46, profit#47, return_amt#48, net_loss#49, cp_catalog_page_sk#61, cp_catalog_page_id#62]
Arguments: [sales_price#46, profit#47, return_amt#48, net_loss#49, cp_catalog_page_id#62], [sales_price#46, profit#47, return_amt#48, net_loss#49, cp_catalog_page_id#62]

(38) CometHashAggregate
Input [5]: [sales_price#46, profit#47, return_amt#48, net_loss#49, cp_catalog_page_id#62]
Keys [1]: [cp_catalog_page_id#62]
Functions [4]: [partial_sum(UnscaledValue(sales_price#46)), partial_sum(UnscaledValue(return_amt#48)), partial_sum(UnscaledValue(profit#47)), partial_sum(UnscaledValue(net_loss#49))]

(39) CometExchange
Input [5]: [cp_catalog_page_id#62, sum#63, sum#64, sum#65, sum#66]
Arguments: hashpartitioning(cp_catalog_page_id#62, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2]

(40) ColumnarToRow [codegen id : 2]
Input [5]: [cp_catalog_page_id#62, sum#63, sum#64, sum#65, sum#66]

(41) HashAggregate [codegen id : 2]
Input [5]: [cp_catalog_page_id#62, sum#63, sum#64, sum#65, sum#66]
Keys [1]: [cp_catalog_page_id#62]
Functions [4]: [sum(UnscaledValue(sales_price#46)), sum(UnscaledValue(return_amt#48)), sum(UnscaledValue(profit#47)), sum(UnscaledValue(net_loss#49))]
Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#46))#67, sum(UnscaledValue(return_amt#48))#68, sum(UnscaledValue(profit#47))#69, sum(UnscaledValue(net_loss#49))#70]
Results [5]: [MakeDecimal(sum(UnscaledValue(sales_price#46))#67,17,2) AS sales#71, MakeDecimal(sum(UnscaledValue(return_amt#48))#68,17,2) AS returns#72, (MakeDecimal(sum(UnscaledValue(profit#47))#69,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#49))#70,17,2)) AS profit#73, catalog channel AS channel#74, concat(catalog_page, cp_catalog_page_id#62) AS id#75]

(42) CometScan parquet spark_catalog.default.web_sales
Output [4]: [ws_web_site_sk#76, ws_ext_sales_price#77, ws_net_profit#78, ws_sold_date_sk#79]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#79), dynamicpruningexpression(ws_sold_date_sk#79 IN dynamicpruning#80)]
PushedFilters: [IsNotNull(ws_web_site_sk)]
ReadSchema: struct<ws_web_site_sk:int,ws_ext_sales_price:decimal(7,2),ws_net_profit:decimal(7,2)>

(43) CometFilter
Input [4]: [ws_web_site_sk#76, ws_ext_sales_price#77, ws_net_profit#78, ws_sold_date_sk#79]
Condition : isnotnull(ws_web_site_sk#76)

(44) CometProject
Input [4]: [ws_web_site_sk#76, ws_ext_sales_price#77, ws_net_profit#78, ws_sold_date_sk#79]
Arguments: [wsr_web_site_sk#81, date_sk#82, sales_price#83, profit#84, return_amt#85, net_loss#86], [ws_web_site_sk#76 AS wsr_web_site_sk#81, ws_sold_date_sk#79 AS date_sk#82, ws_ext_sales_price#77 AS sales_price#83, ws_net_profit#78 AS profit#84, 0.00 AS return_amt#85, 0.00 AS net_loss#86]

(45) CometScan parquet spark_catalog.default.web_returns
Output [5]: [wr_item_sk#87, wr_order_number#88, wr_return_amt#89, wr_net_loss#90, wr_returned_date_sk#91]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(wr_returned_date_sk#91), dynamicpruningexpression(wr_returned_date_sk#91 IN dynamicpruning#80)]
ReadSchema: struct<wr_item_sk:int,wr_order_number:int,wr_return_amt:decimal(7,2),wr_net_loss:decimal(7,2)>

(46) CometBroadcastExchange
Input [5]: [wr_item_sk#87, wr_order_number#88, wr_return_amt#89, wr_net_loss#90, wr_returned_date_sk#91]
Arguments: [wr_item_sk#87, wr_order_number#88, wr_return_amt#89, wr_net_loss#90, wr_returned_date_sk#91]

(47) CometScan parquet spark_catalog.default.web_sales
Output [4]: [ws_item_sk#92, ws_web_site_sk#93, ws_order_number#94, ws_sold_date_sk#95]
Batched: true
Location [not included in comparison]/{warehouse_dir}/web_sales]
PushedFilters: [IsNotNull(ws_item_sk), IsNotNull(ws_order_number), IsNotNull(ws_web_site_sk)]
ReadSchema: struct<ws_item_sk:int,ws_web_site_sk:int,ws_order_number:int>

(48) CometFilter
Input [4]: [ws_item_sk#92, ws_web_site_sk#93, ws_order_number#94, ws_sold_date_sk#95]
Condition : ((isnotnull(ws_item_sk#92) AND isnotnull(ws_order_number#94)) AND isnotnull(ws_web_site_sk#93))

(49) CometProject
Input [4]: [ws_item_sk#92, ws_web_site_sk#93, ws_order_number#94, ws_sold_date_sk#95]
Arguments: [ws_item_sk#92, ws_web_site_sk#93, ws_order_number#94], [ws_item_sk#92, ws_web_site_sk#93, ws_order_number#94]

(50) CometBroadcastHashJoin
Left output [5]: [wr_item_sk#87, wr_order_number#88, wr_return_amt#89, wr_net_loss#90, wr_returned_date_sk#91]
Right output [3]: [ws_item_sk#92, ws_web_site_sk#93, ws_order_number#94]
Arguments: [wr_item_sk#87, wr_order_number#88], [ws_item_sk#92, ws_order_number#94], Inner, BuildLeft

(51) CometProject
Input [8]: [wr_item_sk#87, wr_order_number#88, wr_return_amt#89, wr_net_loss#90, wr_returned_date_sk#91, ws_item_sk#92, ws_web_site_sk#93, ws_order_number#94]
Arguments: [wsr_web_site_sk#96, date_sk#97, sales_price#98, profit#99, return_amt#100, net_loss#101], [ws_web_site_sk#93 AS wsr_web_site_sk#96, wr_returned_date_sk#91 AS date_sk#97, 0.00 AS sales_price#98, 0.00 AS profit#99, wr_return_amt#89 AS return_amt#100, wr_net_loss#90 AS net_loss#101]

(52) CometUnion
Child 0 Input [6]: [wsr_web_site_sk#81, date_sk#82, sales_price#83, profit#84, return_amt#85, net_loss#86]
Child 1 Input [6]: [wsr_web_site_sk#96, date_sk#97, sales_price#98, profit#99, return_amt#100, net_loss#101]

(53) ReusedExchange [Reuses operator id: 11]
Output [1]: [d_date_sk#102]

(54) CometBroadcastHashJoin
Left output [6]: [wsr_web_site_sk#81, date_sk#82, sales_price#83, profit#84, return_amt#85, net_loss#86]
Right output [1]: [d_date_sk#102]
Arguments: [date_sk#82], [d_date_sk#102], Inner, BuildRight

(55) CometProject
Input [7]: [wsr_web_site_sk#81, date_sk#82, sales_price#83, profit#84, return_amt#85, net_loss#86, d_date_sk#102]
Arguments: [wsr_web_site_sk#81, sales_price#83, profit#84, return_amt#85, net_loss#86], [wsr_web_site_sk#81, sales_price#83, profit#84, return_amt#85, net_loss#86]

(56) CometScan parquet spark_catalog.default.web_site
Output [2]: [web_site_sk#103, web_site_id#104]
Batched: true
Location [not included in comparison]/{warehouse_dir}/web_site]
PushedFilters: [IsNotNull(web_site_sk)]
ReadSchema: struct<web_site_sk:int,web_site_id:string>

(57) CometFilter
Input [2]: [web_site_sk#103, web_site_id#104]
Condition : isnotnull(web_site_sk#103)

(58) CometBroadcastExchange
Input [2]: [web_site_sk#103, web_site_id#104]
Arguments: [web_site_sk#103, web_site_id#104]

(59) CometBroadcastHashJoin
Left output [5]: [wsr_web_site_sk#81, sales_price#83, profit#84, return_amt#85, net_loss#86]
Right output [2]: [web_site_sk#103, web_site_id#104]
Arguments: [wsr_web_site_sk#81], [web_site_sk#103], Inner, BuildRight

(60) CometProject
Input [7]: [wsr_web_site_sk#81, sales_price#83, profit#84, return_amt#85, net_loss#86, web_site_sk#103, web_site_id#104]
Arguments: [sales_price#83, profit#84, return_amt#85, net_loss#86, web_site_id#104], [sales_price#83, profit#84, return_amt#85, net_loss#86, web_site_id#104]

(61) CometHashAggregate
Input [5]: [sales_price#83, profit#84, return_amt#85, net_loss#86, web_site_id#104]
Keys [1]: [web_site_id#104]
Functions [4]: [partial_sum(UnscaledValue(sales_price#83)), partial_sum(UnscaledValue(return_amt#85)), partial_sum(UnscaledValue(profit#84)), partial_sum(UnscaledValue(net_loss#86))]

(62) CometExchange
Input [5]: [web_site_id#104, sum#105, sum#106, sum#107, sum#108]
Arguments: hashpartitioning(web_site_id#104, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3]

(63) ColumnarToRow [codegen id : 3]
Input [5]: [web_site_id#104, sum#105, sum#106, sum#107, sum#108]

(64) HashAggregate [codegen id : 3]
Input [5]: [web_site_id#104, sum#105, sum#106, sum#107, sum#108]
Keys [1]: [web_site_id#104]
Functions [4]: [sum(UnscaledValue(sales_price#83)), sum(UnscaledValue(return_amt#85)), sum(UnscaledValue(profit#84)), sum(UnscaledValue(net_loss#86))]
Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#83))#109, sum(UnscaledValue(return_amt#85))#110, sum(UnscaledValue(profit#84))#111, sum(UnscaledValue(net_loss#86))#112]
Results [5]: [MakeDecimal(sum(UnscaledValue(sales_price#83))#109,17,2) AS sales#113, MakeDecimal(sum(UnscaledValue(return_amt#85))#110,17,2) AS returns#114, (MakeDecimal(sum(UnscaledValue(profit#84))#111,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#86))#112,17,2)) AS profit#115, web channel AS channel#116, concat(web_site, web_site_id#104) AS id#117]

(65) Union

(66) Expand [codegen id : 4]
Input [5]: [sales#34, returns#35, profit#36, channel#37, id#38]
Arguments: [[sales#34, returns#35, profit#36, channel#37, id#38, 0], [sales#34, returns#35, profit#36, channel#37, null, 1], [sales#34, returns#35, profit#36, null, null, 3]], [sales#34, returns#35, profit#36, channel#118, id#119, spark_grouping_id#120]

(67) HashAggregate [codegen id : 4]
Input [6]: [sales#34, returns#35, profit#36, channel#118, id#119, spark_grouping_id#120]
Keys [3]: [channel#118, id#119, spark_grouping_id#120]
Functions [3]: [partial_sum(sales#34), partial_sum(returns#35), partial_sum(profit#36)]
Aggregate Attributes [6]: [sum#121, isEmpty#122, sum#123, isEmpty#124, sum#125, isEmpty#126]
Results [9]: [channel#118, id#119, spark_grouping_id#120, sum#127, isEmpty#128, sum#129, isEmpty#130, sum#131, isEmpty#132]

(68) Exchange
Input [9]: [channel#118, id#119, spark_grouping_id#120, sum#127, isEmpty#128, sum#129, isEmpty#130, sum#131, isEmpty#132]
Arguments: hashpartitioning(channel#118, id#119, spark_grouping_id#120, 5), ENSURE_REQUIREMENTS, [plan_id=4]

(69) HashAggregate [codegen id : 5]
Input [9]: [channel#118, id#119, spark_grouping_id#120, sum#127, isEmpty#128, sum#129, isEmpty#130, sum#131, isEmpty#132]
Keys [3]: [channel#118, id#119, spark_grouping_id#120]
Functions [3]: [sum(sales#34), sum(returns#35), sum(profit#36)]
Aggregate Attributes [3]: [sum(sales#34)#133, sum(returns#35)#134, sum(profit#36)#135]
Results [5]: [channel#118, id#119, sum(sales#34)#133 AS sales#136, sum(returns#35)#134 AS returns#137, sum(profit#36)#135 AS profit#138]

(70) TakeOrderedAndProject
Input [5]: [channel#118, id#119, sales#136, returns#137, profit#138]
Arguments: 100, [channel#118 ASC NULLS FIRST, id#119 ASC NULLS FIRST], [channel#118, id#119, sales#136, returns#137, profit#138]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5
BroadcastExchange (75)
+- * ColumnarToRow (74)
   +- CometProject (73)
      +- CometFilter (72)
         +- CometScan parquet spark_catalog.default.date_dim (71)


(71) CometScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#22, d_date#23]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-08-23), LessThanOrEqual(d_date,2000-09-06), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(72) CometFilter
Input [2]: [d_date_sk#22, d_date#23]
Condition : (((isnotnull(d_date#23) AND (d_date#23 >= 2000-08-23)) AND (d_date#23 <= 2000-09-06)) AND isnotnull(d_date_sk#22))

(73) CometProject
Input [2]: [d_date_sk#22, d_date#23]
Arguments: [d_date_sk#22], [d_date_sk#22]

(74) ColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#22]

(75) BroadcastExchange
Input [1]: [d_date_sk#22]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5]

Subquery:2 Hosting operator id = 4 Hosting Expression = sr_returned_date_sk#15 IN dynamicpruning#5

Subquery:3 Hosting operator id = 23 Hosting Expression = cs_sold_date_sk#42 IN dynamicpruning#5

Subquery:4 Hosting operator id = 26 Hosting Expression = cr_returned_date_sk#53 IN dynamicpruning#5

Subquery:5 Hosting operator id = 42 Hosting Expression = ws_sold_date_sk#79 IN dynamicpruning#5

Subquery:6 Hosting operator id = 45 Hosting Expression = wr_returned_date_sk#91 IN dynamicpruning#5


