== Physical Plan ==
TakeOrderedAndProject (92)
+- * HashAggregate (91)
   +- * CometColumnarToRow (90)
      +- CometColumnarExchange (89)
         +- * HashAggregate (88)
            +- * Expand (87)
               +- Union (86)
                  :- * Project (32)
                  :  +- * BroadcastHashJoin LeftOuter BuildRight (31)
                  :     :- * HashAggregate (16)
                  :     :  +- * CometColumnarToRow (15)
                  :     :     +- CometColumnarExchange (14)
                  :     :        +- * HashAggregate (13)
                  :     :           +- * Project (12)
                  :     :              +- * BroadcastHashJoin Inner BuildRight (11)
                  :     :                 :- * Project (6)
                  :     :                 :  +- * BroadcastHashJoin Inner BuildRight (5)
                  :     :                 :     :- * Filter (3)
                  :     :                 :     :  +- * ColumnarToRow (2)
                  :     :                 :     :     +- Scan parquet spark_catalog.default.store_sales (1)
                  :     :                 :     +- ReusedExchange (4)
                  :     :                 +- BroadcastExchange (10)
                  :     :                    +- * CometColumnarToRow (9)
                  :     :                       +- CometFilter (8)
                  :     :                          +- CometNativeScan parquet spark_catalog.default.store (7)
                  :     +- BroadcastExchange (30)
                  :        +- * HashAggregate (29)
                  :           +- * CometColumnarToRow (28)
                  :              +- CometColumnarExchange (27)
                  :                 +- * HashAggregate (26)
                  :                    +- * Project (25)
                  :                       +- * BroadcastHashJoin Inner BuildRight (24)
                  :                          :- * Project (22)
                  :                          :  +- * BroadcastHashJoin Inner BuildRight (21)
                  :                          :     :- * Filter (19)
                  :                          :     :  +- * ColumnarToRow (18)
                  :                          :     :     +- Scan parquet spark_catalog.default.store_returns (17)
                  :                          :     +- ReusedExchange (20)
                  :                          +- ReusedExchange (23)
                  :- * Project (53)
                  :  +- * BroadcastNestedLoopJoin Inner BuildLeft (52)
                  :     :- BroadcastExchange (42)
                  :     :  +- * HashAggregate (41)
                  :     :     +- * CometColumnarToRow (40)
                  :     :        +- CometColumnarExchange (39)
                  :     :           +- * HashAggregate (38)
                  :     :              +- * Project (37)
                  :     :                 +- * BroadcastHashJoin Inner BuildRight (36)
                  :     :                    :- * ColumnarToRow (34)
                  :     :                    :  +- Scan parquet spark_catalog.default.catalog_sales (33)
                  :     :                    +- ReusedExchange (35)
                  :     +- * HashAggregate (51)
                  :        +- * CometColumnarToRow (50)
                  :           +- CometColumnarExchange (49)
                  :              +- * HashAggregate (48)
                  :                 +- * Project (47)
                  :                    +- * BroadcastHashJoin Inner BuildRight (46)
                  :                       :- * ColumnarToRow (44)
                  :                       :  +- Scan parquet spark_catalog.default.catalog_returns (43)
                  :                       +- ReusedExchange (45)
                  +- * Project (85)
                     +- * BroadcastHashJoin LeftOuter BuildRight (84)
                        :- * HashAggregate (69)
                        :  +- * CometColumnarToRow (68)
                        :     +- CometColumnarExchange (67)
                        :        +- * HashAggregate (66)
                        :           +- * Project (65)
                        :              +- * BroadcastHashJoin Inner BuildRight (64)
                        :                 :- * Project (59)
                        :                 :  +- * BroadcastHashJoin Inner BuildRight (58)
                        :                 :     :- * Filter (56)
                        :                 :     :  +- * ColumnarToRow (55)
                        :                 :     :     +- Scan parquet spark_catalog.default.web_sales (54)
                        :                 :     +- ReusedExchange (57)
                        :                 +- BroadcastExchange (63)
                        :                    +- * CometColumnarToRow (62)
                        :                       +- CometFilter (61)
                        :                          +- CometNativeScan parquet spark_catalog.default.web_page (60)
                        +- BroadcastExchange (83)
                           +- * HashAggregate (82)
                              +- * CometColumnarToRow (81)
                                 +- CometColumnarExchange (80)
                                    +- * HashAggregate (79)
                                       +- * Project (78)
                                          +- * BroadcastHashJoin Inner BuildRight (77)
                                             :- * Project (75)
                                             :  +- * BroadcastHashJoin Inner BuildRight (74)
                                             :     :- * Filter (72)
                                             :     :  +- * ColumnarToRow (71)
                                             :     :     +- Scan parquet spark_catalog.default.web_returns (70)
                                             :     +- ReusedExchange (73)
                                             +- ReusedExchange (76)


(1) Scan 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) ColumnarToRow [codegen id : 3]
Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_sk#4]

(3) Filter [codegen id : 3]
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)

(4) ReusedExchange [Reuses operator id: 97]
Output [1]: [d_date_sk#6]

(5) BroadcastHashJoin [codegen id : 3]
Left keys [1]: [ss_sold_date_sk#4]
Right keys [1]: [d_date_sk#6]
Join type: Inner
Join condition: None

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

(7) CometNativeScan parquet spark_catalog.default.store
Output [1]: [s_store_sk#7]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int>

(8) CometFilter
Input [1]: [s_store_sk#7]
Condition : isnotnull(s_store_sk#7)

(9) CometColumnarToRow [codegen id : 2]
Input [1]: [s_store_sk#7]

(10) BroadcastExchange
Input [1]: [s_store_sk#7]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=1]

(11) BroadcastHashJoin [codegen id : 3]
Left keys [1]: [ss_store_sk#1]
Right keys [1]: [s_store_sk#7]
Join type: Inner
Join condition: None

(12) Project [codegen id : 3]
Output [3]: [ss_ext_sales_price#2, ss_net_profit#3, s_store_sk#7]
Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, s_store_sk#7]

(13) HashAggregate [codegen id : 3]
Input [3]: [ss_ext_sales_price#2, ss_net_profit#3, s_store_sk#7]
Keys [1]: [s_store_sk#7]
Functions [2]: [partial_sum(UnscaledValue(ss_ext_sales_price#2)), partial_sum(UnscaledValue(ss_net_profit#3))]
Aggregate Attributes [2]: [sum#8, sum#9]
Results [3]: [s_store_sk#7, sum#10, sum#11]

(14) CometColumnarExchange
Input [3]: [s_store_sk#7, sum#10, sum#11]
Arguments: hashpartitioning(s_store_sk#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2]

(15) CometColumnarToRow [codegen id : 8]
Input [3]: [s_store_sk#7, sum#10, sum#11]

(16) HashAggregate [codegen id : 8]
Input [3]: [s_store_sk#7, sum#10, sum#11]
Keys [1]: [s_store_sk#7]
Functions [2]: [sum(UnscaledValue(ss_ext_sales_price#2)), sum(UnscaledValue(ss_net_profit#3))]
Aggregate Attributes [2]: [sum(UnscaledValue(ss_ext_sales_price#2))#12, sum(UnscaledValue(ss_net_profit#3))#13]
Results [3]: [s_store_sk#7, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#12,17,2) AS sales#14, MakeDecimal(sum(UnscaledValue(ss_net_profit#3))#13,17,2) AS profit#15]

(17) Scan parquet spark_catalog.default.store_returns
Output [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(sr_returned_date_sk#19), dynamicpruningexpression(sr_returned_date_sk#19 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)>

(18) ColumnarToRow [codegen id : 6]
Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19]

(19) Filter [codegen id : 6]
Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19]
Condition : isnotnull(sr_store_sk#16)

(20) ReusedExchange [Reuses operator id: 97]
Output [1]: [d_date_sk#20]

(21) BroadcastHashJoin [codegen id : 6]
Left keys [1]: [sr_returned_date_sk#19]
Right keys [1]: [d_date_sk#20]
Join type: Inner
Join condition: None

(22) Project [codegen id : 6]
Output [3]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18]
Input [5]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19, d_date_sk#20]

(23) ReusedExchange [Reuses operator id: 10]
Output [1]: [s_store_sk#21]

(24) BroadcastHashJoin [codegen id : 6]
Left keys [1]: [sr_store_sk#16]
Right keys [1]: [s_store_sk#21]
Join type: Inner
Join condition: None

(25) Project [codegen id : 6]
Output [3]: [sr_return_amt#17, sr_net_loss#18, s_store_sk#21]
Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, s_store_sk#21]

(26) HashAggregate [codegen id : 6]
Input [3]: [sr_return_amt#17, sr_net_loss#18, s_store_sk#21]
Keys [1]: [s_store_sk#21]
Functions [2]: [partial_sum(UnscaledValue(sr_return_amt#17)), partial_sum(UnscaledValue(sr_net_loss#18))]
Aggregate Attributes [2]: [sum#22, sum#23]
Results [3]: [s_store_sk#21, sum#24, sum#25]

(27) CometColumnarExchange
Input [3]: [s_store_sk#21, sum#24, sum#25]
Arguments: hashpartitioning(s_store_sk#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3]

(28) CometColumnarToRow [codegen id : 7]
Input [3]: [s_store_sk#21, sum#24, sum#25]

(29) HashAggregate [codegen id : 7]
Input [3]: [s_store_sk#21, sum#24, sum#25]
Keys [1]: [s_store_sk#21]
Functions [2]: [sum(UnscaledValue(sr_return_amt#17)), sum(UnscaledValue(sr_net_loss#18))]
Aggregate Attributes [2]: [sum(UnscaledValue(sr_return_amt#17))#26, sum(UnscaledValue(sr_net_loss#18))#27]
Results [3]: [s_store_sk#21, MakeDecimal(sum(UnscaledValue(sr_return_amt#17))#26,17,2) AS returns#28, MakeDecimal(sum(UnscaledValue(sr_net_loss#18))#27,17,2) AS profit_loss#29]

(30) BroadcastExchange
Input [3]: [s_store_sk#21, returns#28, profit_loss#29]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4]

(31) BroadcastHashJoin [codegen id : 8]
Left keys [1]: [s_store_sk#7]
Right keys [1]: [s_store_sk#21]
Join type: LeftOuter
Join condition: None

(32) Project [codegen id : 8]
Output [5]: [sales#14, coalesce(returns#28, 0.00) AS returns#30, (profit#15 - coalesce(profit_loss#29, 0.00)) AS profit#31, store channel AS channel#32, s_store_sk#7 AS id#33]
Input [6]: [s_store_sk#7, sales#14, profit#15, s_store_sk#21, returns#28, profit_loss#29]

(33) Scan parquet spark_catalog.default.catalog_sales
Output [4]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#5)]
ReadSchema: struct<cs_call_center_sk:int,cs_ext_sales_price:decimal(7,2),cs_net_profit:decimal(7,2)>

(34) ColumnarToRow [codegen id : 10]
Input [4]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37]

(35) ReusedExchange [Reuses operator id: 97]
Output [1]: [d_date_sk#38]

(36) BroadcastHashJoin [codegen id : 10]
Left keys [1]: [cs_sold_date_sk#37]
Right keys [1]: [d_date_sk#38]
Join type: Inner
Join condition: None

(37) Project [codegen id : 10]
Output [3]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36]
Input [5]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37, d_date_sk#38]

(38) HashAggregate [codegen id : 10]
Input [3]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36]
Keys [1]: [cs_call_center_sk#34]
Functions [2]: [partial_sum(UnscaledValue(cs_ext_sales_price#35)), partial_sum(UnscaledValue(cs_net_profit#36))]
Aggregate Attributes [2]: [sum#39, sum#40]
Results [3]: [cs_call_center_sk#34, sum#41, sum#42]

(39) CometColumnarExchange
Input [3]: [cs_call_center_sk#34, sum#41, sum#42]
Arguments: hashpartitioning(cs_call_center_sk#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5]

(40) CometColumnarToRow [codegen id : 11]
Input [3]: [cs_call_center_sk#34, sum#41, sum#42]

(41) HashAggregate [codegen id : 11]
Input [3]: [cs_call_center_sk#34, sum#41, sum#42]
Keys [1]: [cs_call_center_sk#34]
Functions [2]: [sum(UnscaledValue(cs_ext_sales_price#35)), sum(UnscaledValue(cs_net_profit#36))]
Aggregate Attributes [2]: [sum(UnscaledValue(cs_ext_sales_price#35))#43, sum(UnscaledValue(cs_net_profit#36))#44]
Results [3]: [cs_call_center_sk#34, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#35))#43,17,2) AS sales#45, MakeDecimal(sum(UnscaledValue(cs_net_profit#36))#44,17,2) AS profit#46]

(42) BroadcastExchange
Input [3]: [cs_call_center_sk#34, sales#45, profit#46]
Arguments: IdentityBroadcastMode, [plan_id=6]

(43) Scan parquet spark_catalog.default.catalog_returns
Output [3]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cr_returned_date_sk#49), dynamicpruningexpression(cr_returned_date_sk#49 IN dynamicpruning#5)]
ReadSchema: struct<cr_return_amount:decimal(7,2),cr_net_loss:decimal(7,2)>

(44) ColumnarToRow [codegen id : 13]
Input [3]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49]

(45) ReusedExchange [Reuses operator id: 97]
Output [1]: [d_date_sk#50]

(46) BroadcastHashJoin [codegen id : 13]
Left keys [1]: [cr_returned_date_sk#49]
Right keys [1]: [d_date_sk#50]
Join type: Inner
Join condition: None

(47) Project [codegen id : 13]
Output [2]: [cr_return_amount#47, cr_net_loss#48]
Input [4]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49, d_date_sk#50]

(48) HashAggregate [codegen id : 13]
Input [2]: [cr_return_amount#47, cr_net_loss#48]
Keys: []
Functions [2]: [partial_sum(UnscaledValue(cr_return_amount#47)), partial_sum(UnscaledValue(cr_net_loss#48))]
Aggregate Attributes [2]: [sum#51, sum#52]
Results [2]: [sum#53, sum#54]

(49) CometColumnarExchange
Input [2]: [sum#53, sum#54]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7]

(50) CometColumnarToRow
Input [2]: [sum#53, sum#54]

(51) HashAggregate
Input [2]: [sum#53, sum#54]
Keys: []
Functions [2]: [sum(UnscaledValue(cr_return_amount#47)), sum(UnscaledValue(cr_net_loss#48))]
Aggregate Attributes [2]: [sum(UnscaledValue(cr_return_amount#47))#55, sum(UnscaledValue(cr_net_loss#48))#56]
Results [2]: [MakeDecimal(sum(UnscaledValue(cr_return_amount#47))#55,17,2) AS returns#57, MakeDecimal(sum(UnscaledValue(cr_net_loss#48))#56,17,2) AS profit_loss#58]

(52) BroadcastNestedLoopJoin [codegen id : 14]
Join type: Inner
Join condition: None

(53) Project [codegen id : 14]
Output [5]: [sales#45, returns#57, (profit#46 - profit_loss#58) AS profit#59, catalog channel AS channel#60, cs_call_center_sk#34 AS id#61]
Input [5]: [cs_call_center_sk#34, sales#45, profit#46, returns#57, profit_loss#58]

(54) Scan parquet spark_catalog.default.web_sales
Output [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#65), dynamicpruningexpression(ws_sold_date_sk#65 IN dynamicpruning#5)]
PushedFilters: [IsNotNull(ws_web_page_sk)]
ReadSchema: struct<ws_web_page_sk:int,ws_ext_sales_price:decimal(7,2),ws_net_profit:decimal(7,2)>

(55) ColumnarToRow [codegen id : 17]
Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65]

(56) Filter [codegen id : 17]
Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65]
Condition : isnotnull(ws_web_page_sk#62)

(57) ReusedExchange [Reuses operator id: 97]
Output [1]: [d_date_sk#66]

(58) BroadcastHashJoin [codegen id : 17]
Left keys [1]: [ws_sold_date_sk#65]
Right keys [1]: [d_date_sk#66]
Join type: Inner
Join condition: None

(59) Project [codegen id : 17]
Output [3]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64]
Input [5]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65, d_date_sk#66]

(60) CometNativeScan parquet spark_catalog.default.web_page
Output [1]: [wp_web_page_sk#67]
Batched: true
Location [not included in comparison]/{warehouse_dir}/web_page]
PushedFilters: [IsNotNull(wp_web_page_sk)]
ReadSchema: struct<wp_web_page_sk:int>

(61) CometFilter
Input [1]: [wp_web_page_sk#67]
Condition : isnotnull(wp_web_page_sk#67)

(62) CometColumnarToRow [codegen id : 16]
Input [1]: [wp_web_page_sk#67]

(63) BroadcastExchange
Input [1]: [wp_web_page_sk#67]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8]

(64) BroadcastHashJoin [codegen id : 17]
Left keys [1]: [ws_web_page_sk#62]
Right keys [1]: [wp_web_page_sk#67]
Join type: Inner
Join condition: None

(65) Project [codegen id : 17]
Output [3]: [ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67]
Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67]

(66) HashAggregate [codegen id : 17]
Input [3]: [ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67]
Keys [1]: [wp_web_page_sk#67]
Functions [2]: [partial_sum(UnscaledValue(ws_ext_sales_price#63)), partial_sum(UnscaledValue(ws_net_profit#64))]
Aggregate Attributes [2]: [sum#68, sum#69]
Results [3]: [wp_web_page_sk#67, sum#70, sum#71]

(67) CometColumnarExchange
Input [3]: [wp_web_page_sk#67, sum#70, sum#71]
Arguments: hashpartitioning(wp_web_page_sk#67, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9]

(68) CometColumnarToRow [codegen id : 22]
Input [3]: [wp_web_page_sk#67, sum#70, sum#71]

(69) HashAggregate [codegen id : 22]
Input [3]: [wp_web_page_sk#67, sum#70, sum#71]
Keys [1]: [wp_web_page_sk#67]
Functions [2]: [sum(UnscaledValue(ws_ext_sales_price#63)), sum(UnscaledValue(ws_net_profit#64))]
Aggregate Attributes [2]: [sum(UnscaledValue(ws_ext_sales_price#63))#72, sum(UnscaledValue(ws_net_profit#64))#73]
Results [3]: [wp_web_page_sk#67, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#63))#72,17,2) AS sales#74, MakeDecimal(sum(UnscaledValue(ws_net_profit#64))#73,17,2) AS profit#75]

(70) Scan parquet spark_catalog.default.web_returns
Output [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(wr_returned_date_sk#79), dynamicpruningexpression(wr_returned_date_sk#79 IN dynamicpruning#5)]
PushedFilters: [IsNotNull(wr_web_page_sk)]
ReadSchema: struct<wr_web_page_sk:int,wr_return_amt:decimal(7,2),wr_net_loss:decimal(7,2)>

(71) ColumnarToRow [codegen id : 20]
Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79]

(72) Filter [codegen id : 20]
Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79]
Condition : isnotnull(wr_web_page_sk#76)

(73) ReusedExchange [Reuses operator id: 97]
Output [1]: [d_date_sk#80]

(74) BroadcastHashJoin [codegen id : 20]
Left keys [1]: [wr_returned_date_sk#79]
Right keys [1]: [d_date_sk#80]
Join type: Inner
Join condition: None

(75) Project [codegen id : 20]
Output [3]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78]
Input [5]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79, d_date_sk#80]

(76) ReusedExchange [Reuses operator id: 63]
Output [1]: [wp_web_page_sk#81]

(77) BroadcastHashJoin [codegen id : 20]
Left keys [1]: [wr_web_page_sk#76]
Right keys [1]: [wp_web_page_sk#81]
Join type: Inner
Join condition: None

(78) Project [codegen id : 20]
Output [3]: [wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81]
Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81]

(79) HashAggregate [codegen id : 20]
Input [3]: [wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81]
Keys [1]: [wp_web_page_sk#81]
Functions [2]: [partial_sum(UnscaledValue(wr_return_amt#77)), partial_sum(UnscaledValue(wr_net_loss#78))]
Aggregate Attributes [2]: [sum#82, sum#83]
Results [3]: [wp_web_page_sk#81, sum#84, sum#85]

(80) CometColumnarExchange
Input [3]: [wp_web_page_sk#81, sum#84, sum#85]
Arguments: hashpartitioning(wp_web_page_sk#81, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10]

(81) CometColumnarToRow [codegen id : 21]
Input [3]: [wp_web_page_sk#81, sum#84, sum#85]

(82) HashAggregate [codegen id : 21]
Input [3]: [wp_web_page_sk#81, sum#84, sum#85]
Keys [1]: [wp_web_page_sk#81]
Functions [2]: [sum(UnscaledValue(wr_return_amt#77)), sum(UnscaledValue(wr_net_loss#78))]
Aggregate Attributes [2]: [sum(UnscaledValue(wr_return_amt#77))#86, sum(UnscaledValue(wr_net_loss#78))#87]
Results [3]: [wp_web_page_sk#81, MakeDecimal(sum(UnscaledValue(wr_return_amt#77))#86,17,2) AS returns#88, MakeDecimal(sum(UnscaledValue(wr_net_loss#78))#87,17,2) AS profit_loss#89]

(83) BroadcastExchange
Input [3]: [wp_web_page_sk#81, returns#88, profit_loss#89]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11]

(84) BroadcastHashJoin [codegen id : 22]
Left keys [1]: [wp_web_page_sk#67]
Right keys [1]: [wp_web_page_sk#81]
Join type: LeftOuter
Join condition: None

(85) Project [codegen id : 22]
Output [5]: [sales#74, coalesce(returns#88, 0.00) AS returns#90, (profit#75 - coalesce(profit_loss#89, 0.00)) AS profit#91, web channel AS channel#92, wp_web_page_sk#67 AS id#93]
Input [6]: [wp_web_page_sk#67, sales#74, profit#75, wp_web_page_sk#81, returns#88, profit_loss#89]

(86) Union

(87) Expand [codegen id : 23]
Input [5]: [sales#14, returns#30, profit#31, channel#32, id#33]
Arguments: [[sales#14, returns#30, profit#31, channel#32, id#33, 0], [sales#14, returns#30, profit#31, channel#32, null, 1], [sales#14, returns#30, profit#31, null, null, 3]], [sales#14, returns#30, profit#31, channel#94, id#95, spark_grouping_id#96]

(88) HashAggregate [codegen id : 23]
Input [6]: [sales#14, returns#30, profit#31, channel#94, id#95, spark_grouping_id#96]
Keys [3]: [channel#94, id#95, spark_grouping_id#96]
Functions [3]: [partial_sum(sales#14), partial_sum(returns#30), partial_sum(profit#31)]
Aggregate Attributes [6]: [sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102]
Results [9]: [channel#94, id#95, spark_grouping_id#96, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108]

(89) CometColumnarExchange
Input [9]: [channel#94, id#95, spark_grouping_id#96, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108]
Arguments: hashpartitioning(channel#94, id#95, spark_grouping_id#96, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12]

(90) CometColumnarToRow [codegen id : 24]
Input [9]: [channel#94, id#95, spark_grouping_id#96, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108]

(91) HashAggregate [codegen id : 24]
Input [9]: [channel#94, id#95, spark_grouping_id#96, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108]
Keys [3]: [channel#94, id#95, spark_grouping_id#96]
Functions [3]: [sum(sales#14), sum(returns#30), sum(profit#31)]
Aggregate Attributes [3]: [sum(sales#14)#109, sum(returns#30)#110, sum(profit#31)#111]
Results [5]: [channel#94, id#95, sum(sales#14)#109 AS sales#112, sum(returns#30)#110 AS returns#113, sum(profit#31)#111 AS profit#114]

(92) TakeOrderedAndProject
Input [5]: [channel#94, id#95, sales#112, returns#113, profit#114]
Arguments: 100, [channel#94 ASC NULLS FIRST, id#95 ASC NULLS FIRST], [channel#94, id#95, sales#112, returns#113, profit#114]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5
BroadcastExchange (97)
+- * CometColumnarToRow (96)
   +- CometProject (95)
      +- CometFilter (94)
         +- CometNativeScan parquet spark_catalog.default.date_dim (93)


(93) CometNativeScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#6, d_date#115]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-08-03), LessThanOrEqual(d_date,2000-09-02), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(94) CometFilter
Input [2]: [d_date_sk#6, d_date#115]
Condition : (((isnotnull(d_date#115) AND (d_date#115 >= 2000-08-03)) AND (d_date#115 <= 2000-09-02)) AND isnotnull(d_date_sk#6))

(95) CometProject
Input [2]: [d_date_sk#6, d_date#115]
Arguments: [d_date_sk#6], [d_date_sk#6]

(96) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#6]

(97) BroadcastExchange
Input [1]: [d_date_sk#6]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13]

Subquery:2 Hosting operator id = 17 Hosting Expression = sr_returned_date_sk#19 IN dynamicpruning#5

Subquery:3 Hosting operator id = 33 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#5

Subquery:4 Hosting operator id = 43 Hosting Expression = cr_returned_date_sk#49 IN dynamicpruning#5

Subquery:5 Hosting operator id = 54 Hosting Expression = ws_sold_date_sk#65 IN dynamicpruning#5

Subquery:6 Hosting operator id = 70 Hosting Expression = wr_returned_date_sk#79 IN dynamicpruning#5


