== Physical Plan ==
* ColumnarToRow (121)
+- CometTakeOrderedAndProject (120)
   +- CometHashAggregate (119)
      +- CometColumnarExchange (118)
         +- RowToColumnar (117)
            +- * HashAggregate (116)
               +- Union (115)
                  :- * HashAggregate (98)
                  :  +- * ColumnarToRow (97)
                  :     +- CometColumnarExchange (96)
                  :        +- RowToColumnar (95)
                  :           +- * HashAggregate (94)
                  :              +- Union (93)
                  :                 :- * Project (36)
                  :                 :  +- * BroadcastHashJoin LeftOuter BuildRight (35)
                  :                 :     :- * HashAggregate (19)
                  :                 :     :  +- * ColumnarToRow (18)
                  :                 :     :     +- CometColumnarExchange (17)
                  :                 :     :        +- RowToColumnar (16)
                  :                 :     :           +- * HashAggregate (15)
                  :                 :     :              +- * ColumnarToRow (14)
                  :                 :     :                 +- CometProject (13)
                  :                 :     :                    +- CometBroadcastHashJoin (12)
                  :                 :     :                       :- CometProject (8)
                  :                 :     :                       :  +- CometBroadcastHashJoin (7)
                  :                 :     :                       :     :- CometFilter (2)
                  :                 :     :                       :     :  +- CometScan parquet spark_catalog.default.store_sales (1)
                  :                 :     :                       :     +- CometBroadcastExchange (6)
                  :                 :     :                       :        +- CometProject (5)
                  :                 :     :                       :           +- CometFilter (4)
                  :                 :     :                       :              +- CometScan parquet spark_catalog.default.date_dim (3)
                  :                 :     :                       +- CometBroadcastExchange (11)
                  :                 :     :                          +- CometFilter (10)
                  :                 :     :                             +- CometScan parquet spark_catalog.default.store (9)
                  :                 :     +- BroadcastExchange (34)
                  :                 :        +- * HashAggregate (33)
                  :                 :           +- * ColumnarToRow (32)
                  :                 :              +- CometColumnarExchange (31)
                  :                 :                 +- RowToColumnar (30)
                  :                 :                    +- * HashAggregate (29)
                  :                 :                       +- * ColumnarToRow (28)
                  :                 :                          +- CometProject (27)
                  :                 :                             +- CometBroadcastHashJoin (26)
                  :                 :                                :- CometProject (24)
                  :                 :                                :  +- CometBroadcastHashJoin (23)
                  :                 :                                :     :- CometFilter (21)
                  :                 :                                :     :  +- CometScan parquet spark_catalog.default.store_returns (20)
                  :                 :                                :     +- ReusedExchange (22)
                  :                 :                                +- ReusedExchange (25)
                  :                 :- * Project (59)
                  :                 :  +- * BroadcastNestedLoopJoin Inner BuildLeft (58)
                  :                 :     :- BroadcastExchange (47)
                  :                 :     :  +- * HashAggregate (46)
                  :                 :     :     +- * ColumnarToRow (45)
                  :                 :     :        +- CometColumnarExchange (44)
                  :                 :     :           +- RowToColumnar (43)
                  :                 :     :              +- * HashAggregate (42)
                  :                 :     :                 +- * ColumnarToRow (41)
                  :                 :     :                    +- CometProject (40)
                  :                 :     :                       +- CometBroadcastHashJoin (39)
                  :                 :     :                          :- CometScan parquet spark_catalog.default.catalog_sales (37)
                  :                 :     :                          +- ReusedExchange (38)
                  :                 :     +- * HashAggregate (57)
                  :                 :        +- * ColumnarToRow (56)
                  :                 :           +- CometColumnarExchange (55)
                  :                 :              +- RowToColumnar (54)
                  :                 :                 +- * HashAggregate (53)
                  :                 :                    +- * ColumnarToRow (52)
                  :                 :                       +- CometProject (51)
                  :                 :                          +- CometBroadcastHashJoin (50)
                  :                 :                             :- CometScan parquet spark_catalog.default.catalog_returns (48)
                  :                 :                             +- ReusedExchange (49)
                  :                 +- * Project (92)
                  :                    +- * BroadcastHashJoin LeftOuter BuildRight (91)
                  :                       :- * HashAggregate (75)
                  :                       :  +- * ColumnarToRow (74)
                  :                       :     +- CometColumnarExchange (73)
                  :                       :        +- RowToColumnar (72)
                  :                       :           +- * HashAggregate (71)
                  :                       :              +- * ColumnarToRow (70)
                  :                       :                 +- CometProject (69)
                  :                       :                    +- CometBroadcastHashJoin (68)
                  :                       :                       :- CometProject (64)
                  :                       :                       :  +- CometBroadcastHashJoin (63)
                  :                       :                       :     :- CometFilter (61)
                  :                       :                       :     :  +- CometScan parquet spark_catalog.default.web_sales (60)
                  :                       :                       :     +- ReusedExchange (62)
                  :                       :                       +- CometBroadcastExchange (67)
                  :                       :                          +- CometFilter (66)
                  :                       :                             +- CometScan parquet spark_catalog.default.web_page (65)
                  :                       +- BroadcastExchange (90)
                  :                          +- * HashAggregate (89)
                  :                             +- * ColumnarToRow (88)
                  :                                +- CometColumnarExchange (87)
                  :                                   +- RowToColumnar (86)
                  :                                      +- * HashAggregate (85)
                  :                                         +- * ColumnarToRow (84)
                  :                                            +- CometProject (83)
                  :                                               +- CometBroadcastHashJoin (82)
                  :                                                  :- CometProject (80)
                  :                                                  :  +- CometBroadcastHashJoin (79)
                  :                                                  :     :- CometFilter (77)
                  :                                                  :     :  +- CometScan parquet spark_catalog.default.web_returns (76)
                  :                                                  :     +- ReusedExchange (78)
                  :                                                  +- ReusedExchange (81)
                  :- * HashAggregate (106)
                  :  +- * ColumnarToRow (105)
                  :     +- CometColumnarExchange (104)
                  :        +- RowToColumnar (103)
                  :           +- * HashAggregate (102)
                  :              +- * HashAggregate (101)
                  :                 +- * ColumnarToRow (100)
                  :                    +- ReusedExchange (99)
                  +- * HashAggregate (114)
                     +- * ColumnarToRow (113)
                        +- CometColumnarExchange (112)
                           +- RowToColumnar (111)
                              +- * HashAggregate (110)
                                 +- * HashAggregate (109)
                                    +- * ColumnarToRow (108)
                                       +- ReusedExchange (107)


(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) 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) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#6, d_date#7]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1998-08-04), LessThanOrEqual(d_date,1998-09-03), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(4) CometFilter
Input [2]: [d_date_sk#6, d_date#7]
Condition : (((isnotnull(d_date#7) AND (d_date#7 >= 1998-08-04)) AND (d_date#7 <= 1998-09-03)) AND isnotnull(d_date_sk#6))

(5) CometProject
Input [2]: [d_date_sk#6, d_date#7]
Arguments: [d_date_sk#6], [d_date_sk#6]

(6) CometBroadcastExchange
Input [1]: [d_date_sk#6]
Arguments: [d_date_sk#6]

(7) CometBroadcastHashJoin
Left output [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_sk#4]
Right output [1]: [d_date_sk#6]
Arguments: [ss_sold_date_sk#4], [d_date_sk#6], Inner, BuildRight

(8) CometProject
Input [5]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_sk#4, d_date_sk#6]
Arguments: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3], [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3]

(9) Scan parquet spark_catalog.default.store
Output [1]: [s_store_sk#8]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int>

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

(11) CometBroadcastExchange
Input [1]: [s_store_sk#8]
Arguments: [s_store_sk#8]

(12) CometBroadcastHashJoin
Left output [3]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3]
Right output [1]: [s_store_sk#8]
Arguments: [ss_store_sk#1], [s_store_sk#8], Inner, BuildRight

(13) CometProject
Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, s_store_sk#8]
Arguments: [ss_ext_sales_price#2, ss_net_profit#3, s_store_sk#8], [ss_ext_sales_price#2, ss_net_profit#3, s_store_sk#8]

(14) ColumnarToRow [codegen id : 1]
Input [3]: [ss_ext_sales_price#2, ss_net_profit#3, s_store_sk#8]

(15) HashAggregate [codegen id : 1]
Input [3]: [ss_ext_sales_price#2, ss_net_profit#3, s_store_sk#8]
Keys [1]: [s_store_sk#8]
Functions [2]: [partial_sum(UnscaledValue(ss_ext_sales_price#2)), partial_sum(UnscaledValue(ss_net_profit#3))]
Aggregate Attributes [2]: [sum#9, sum#10]
Results [3]: [s_store_sk#8, sum#11, sum#12]

(16) RowToColumnar
Input [3]: [s_store_sk#8, sum#11, sum#12]

(17) CometColumnarExchange
Input [3]: [s_store_sk#8, sum#11, sum#12]
Arguments: hashpartitioning(s_store_sk#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1]

(18) ColumnarToRow [codegen id : 4]
Input [3]: [s_store_sk#8, sum#11, sum#12]

(19) HashAggregate [codegen id : 4]
Input [3]: [s_store_sk#8, sum#11, sum#12]
Keys [1]: [s_store_sk#8]
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))#13, sum(UnscaledValue(ss_net_profit#3))#14]
Results [3]: [s_store_sk#8, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#13,17,2) AS sales#15, MakeDecimal(sum(UnscaledValue(ss_net_profit#3))#14,17,2) AS profit#16]

(20) Scan parquet spark_catalog.default.store_returns
Output [4]: [sr_store_sk#17, sr_return_amt#18, sr_net_loss#19, sr_returned_date_sk#20]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(sr_returned_date_sk#20), dynamicpruningexpression(sr_returned_date_sk#20 IN dynamicpruning#21)]
PushedFilters: [IsNotNull(sr_store_sk)]
ReadSchema: struct<sr_store_sk:int,sr_return_amt:decimal(7,2),sr_net_loss:decimal(7,2)>

(21) CometFilter
Input [4]: [sr_store_sk#17, sr_return_amt#18, sr_net_loss#19, sr_returned_date_sk#20]
Condition : isnotnull(sr_store_sk#17)

(22) ReusedExchange [Reuses operator id: 6]
Output [1]: [d_date_sk#22]

(23) CometBroadcastHashJoin
Left output [4]: [sr_store_sk#17, sr_return_amt#18, sr_net_loss#19, sr_returned_date_sk#20]
Right output [1]: [d_date_sk#22]
Arguments: [sr_returned_date_sk#20], [d_date_sk#22], Inner, BuildRight

(24) CometProject
Input [5]: [sr_store_sk#17, sr_return_amt#18, sr_net_loss#19, sr_returned_date_sk#20, d_date_sk#22]
Arguments: [sr_store_sk#17, sr_return_amt#18, sr_net_loss#19], [sr_store_sk#17, sr_return_amt#18, sr_net_loss#19]

(25) ReusedExchange [Reuses operator id: 11]
Output [1]: [s_store_sk#23]

(26) CometBroadcastHashJoin
Left output [3]: [sr_store_sk#17, sr_return_amt#18, sr_net_loss#19]
Right output [1]: [s_store_sk#23]
Arguments: [sr_store_sk#17], [s_store_sk#23], Inner, BuildRight

(27) CometProject
Input [4]: [sr_store_sk#17, sr_return_amt#18, sr_net_loss#19, s_store_sk#23]
Arguments: [sr_return_amt#18, sr_net_loss#19, s_store_sk#23], [sr_return_amt#18, sr_net_loss#19, s_store_sk#23]

(28) ColumnarToRow [codegen id : 2]
Input [3]: [sr_return_amt#18, sr_net_loss#19, s_store_sk#23]

(29) HashAggregate [codegen id : 2]
Input [3]: [sr_return_amt#18, sr_net_loss#19, s_store_sk#23]
Keys [1]: [s_store_sk#23]
Functions [2]: [partial_sum(UnscaledValue(sr_return_amt#18)), partial_sum(UnscaledValue(sr_net_loss#19))]
Aggregate Attributes [2]: [sum#24, sum#25]
Results [3]: [s_store_sk#23, sum#26, sum#27]

(30) RowToColumnar
Input [3]: [s_store_sk#23, sum#26, sum#27]

(31) CometColumnarExchange
Input [3]: [s_store_sk#23, sum#26, sum#27]
Arguments: hashpartitioning(s_store_sk#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2]

(32) ColumnarToRow [codegen id : 3]
Input [3]: [s_store_sk#23, sum#26, sum#27]

(33) HashAggregate [codegen id : 3]
Input [3]: [s_store_sk#23, sum#26, sum#27]
Keys [1]: [s_store_sk#23]
Functions [2]: [sum(UnscaledValue(sr_return_amt#18)), sum(UnscaledValue(sr_net_loss#19))]
Aggregate Attributes [2]: [sum(UnscaledValue(sr_return_amt#18))#28, sum(UnscaledValue(sr_net_loss#19))#29]
Results [3]: [s_store_sk#23, MakeDecimal(sum(UnscaledValue(sr_return_amt#18))#28,17,2) AS returns#30, MakeDecimal(sum(UnscaledValue(sr_net_loss#19))#29,17,2) AS profit_loss#31]

(34) BroadcastExchange
Input [3]: [s_store_sk#23, returns#30, profit_loss#31]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]

(35) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [s_store_sk#8]
Right keys [1]: [s_store_sk#23]
Join type: LeftOuter
Join condition: None

(36) Project [codegen id : 4]
Output [5]: [store channel AS channel#32, s_store_sk#8 AS id#33, sales#15, coalesce(returns#30, 0.00) AS returns#34, (profit#16 - coalesce(profit_loss#31, 0.00)) AS profit#35]
Input [6]: [s_store_sk#8, sales#15, profit#16, s_store_sk#23, returns#30, profit_loss#31]

(37) Scan parquet spark_catalog.default.catalog_sales
Output [4]: [cs_call_center_sk#36, cs_ext_sales_price#37, cs_net_profit#38, cs_sold_date_sk#39]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#39), dynamicpruningexpression(cs_sold_date_sk#39 IN dynamicpruning#40)]
ReadSchema: struct<cs_call_center_sk:int,cs_ext_sales_price:decimal(7,2),cs_net_profit:decimal(7,2)>

(38) ReusedExchange [Reuses operator id: 6]
Output [1]: [d_date_sk#41]

(39) CometBroadcastHashJoin
Left output [4]: [cs_call_center_sk#36, cs_ext_sales_price#37, cs_net_profit#38, cs_sold_date_sk#39]
Right output [1]: [d_date_sk#41]
Arguments: [cs_sold_date_sk#39], [d_date_sk#41], Inner, BuildRight

(40) CometProject
Input [5]: [cs_call_center_sk#36, cs_ext_sales_price#37, cs_net_profit#38, cs_sold_date_sk#39, d_date_sk#41]
Arguments: [cs_call_center_sk#36, cs_ext_sales_price#37, cs_net_profit#38], [cs_call_center_sk#36, cs_ext_sales_price#37, cs_net_profit#38]

(41) ColumnarToRow [codegen id : 5]
Input [3]: [cs_call_center_sk#36, cs_ext_sales_price#37, cs_net_profit#38]

(42) HashAggregate [codegen id : 5]
Input [3]: [cs_call_center_sk#36, cs_ext_sales_price#37, cs_net_profit#38]
Keys [1]: [cs_call_center_sk#36]
Functions [2]: [partial_sum(UnscaledValue(cs_ext_sales_price#37)), partial_sum(UnscaledValue(cs_net_profit#38))]
Aggregate Attributes [2]: [sum#42, sum#43]
Results [3]: [cs_call_center_sk#36, sum#44, sum#45]

(43) RowToColumnar
Input [3]: [cs_call_center_sk#36, sum#44, sum#45]

(44) CometColumnarExchange
Input [3]: [cs_call_center_sk#36, sum#44, sum#45]
Arguments: hashpartitioning(cs_call_center_sk#36, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4]

(45) ColumnarToRow [codegen id : 6]
Input [3]: [cs_call_center_sk#36, sum#44, sum#45]

(46) HashAggregate [codegen id : 6]
Input [3]: [cs_call_center_sk#36, sum#44, sum#45]
Keys [1]: [cs_call_center_sk#36]
Functions [2]: [sum(UnscaledValue(cs_ext_sales_price#37)), sum(UnscaledValue(cs_net_profit#38))]
Aggregate Attributes [2]: [sum(UnscaledValue(cs_ext_sales_price#37))#46, sum(UnscaledValue(cs_net_profit#38))#47]
Results [3]: [cs_call_center_sk#36, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#37))#46,17,2) AS sales#48, MakeDecimal(sum(UnscaledValue(cs_net_profit#38))#47,17,2) AS profit#49]

(47) BroadcastExchange
Input [3]: [cs_call_center_sk#36, sales#48, profit#49]
Arguments: IdentityBroadcastMode, [plan_id=5]

(48) Scan parquet spark_catalog.default.catalog_returns
Output [3]: [cr_return_amount#50, cr_net_loss#51, cr_returned_date_sk#52]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cr_returned_date_sk#52), dynamicpruningexpression(cr_returned_date_sk#52 IN dynamicpruning#53)]
ReadSchema: struct<cr_return_amount:decimal(7,2),cr_net_loss:decimal(7,2)>

(49) ReusedExchange [Reuses operator id: 6]
Output [1]: [d_date_sk#54]

(50) CometBroadcastHashJoin
Left output [3]: [cr_return_amount#50, cr_net_loss#51, cr_returned_date_sk#52]
Right output [1]: [d_date_sk#54]
Arguments: [cr_returned_date_sk#52], [d_date_sk#54], Inner, BuildRight

(51) CometProject
Input [4]: [cr_return_amount#50, cr_net_loss#51, cr_returned_date_sk#52, d_date_sk#54]
Arguments: [cr_return_amount#50, cr_net_loss#51], [cr_return_amount#50, cr_net_loss#51]

(52) ColumnarToRow [codegen id : 7]
Input [2]: [cr_return_amount#50, cr_net_loss#51]

(53) HashAggregate [codegen id : 7]
Input [2]: [cr_return_amount#50, cr_net_loss#51]
Keys: []
Functions [2]: [partial_sum(UnscaledValue(cr_return_amount#50)), partial_sum(UnscaledValue(cr_net_loss#51))]
Aggregate Attributes [2]: [sum#55, sum#56]
Results [2]: [sum#57, sum#58]

(54) RowToColumnar
Input [2]: [sum#57, sum#58]

(55) CometColumnarExchange
Input [2]: [sum#57, sum#58]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6]

(56) ColumnarToRow
Input [2]: [sum#57, sum#58]

(57) HashAggregate
Input [2]: [sum#57, sum#58]
Keys: []
Functions [2]: [sum(UnscaledValue(cr_return_amount#50)), sum(UnscaledValue(cr_net_loss#51))]
Aggregate Attributes [2]: [sum(UnscaledValue(cr_return_amount#50))#59, sum(UnscaledValue(cr_net_loss#51))#60]
Results [2]: [MakeDecimal(sum(UnscaledValue(cr_return_amount#50))#59,17,2) AS returns#61, MakeDecimal(sum(UnscaledValue(cr_net_loss#51))#60,17,2) AS profit_loss#62]

(58) BroadcastNestedLoopJoin [codegen id : 8]
Join type: Inner
Join condition: None

(59) Project [codegen id : 8]
Output [5]: [catalog channel AS channel#63, cs_call_center_sk#36 AS id#64, sales#48, returns#61, (profit#49 - profit_loss#62) AS profit#65]
Input [5]: [cs_call_center_sk#36, sales#48, profit#49, returns#61, profit_loss#62]

(60) Scan parquet spark_catalog.default.web_sales
Output [4]: [ws_web_page_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#69), dynamicpruningexpression(ws_sold_date_sk#69 IN dynamicpruning#70)]
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)>

(61) CometFilter
Input [4]: [ws_web_page_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69]
Condition : isnotnull(ws_web_page_sk#66)

(62) ReusedExchange [Reuses operator id: 6]
Output [1]: [d_date_sk#71]

(63) CometBroadcastHashJoin
Left output [4]: [ws_web_page_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69]
Right output [1]: [d_date_sk#71]
Arguments: [ws_sold_date_sk#69], [d_date_sk#71], Inner, BuildRight

(64) CometProject
Input [5]: [ws_web_page_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69, d_date_sk#71]
Arguments: [ws_web_page_sk#66, ws_ext_sales_price#67, ws_net_profit#68], [ws_web_page_sk#66, ws_ext_sales_price#67, ws_net_profit#68]

(65) Scan parquet spark_catalog.default.web_page
Output [1]: [wp_web_page_sk#72]
Batched: true
Location [not included in comparison]/{warehouse_dir}/web_page]
PushedFilters: [IsNotNull(wp_web_page_sk)]
ReadSchema: struct<wp_web_page_sk:int>

(66) CometFilter
Input [1]: [wp_web_page_sk#72]
Condition : isnotnull(wp_web_page_sk#72)

(67) CometBroadcastExchange
Input [1]: [wp_web_page_sk#72]
Arguments: [wp_web_page_sk#72]

(68) CometBroadcastHashJoin
Left output [3]: [ws_web_page_sk#66, ws_ext_sales_price#67, ws_net_profit#68]
Right output [1]: [wp_web_page_sk#72]
Arguments: [ws_web_page_sk#66], [wp_web_page_sk#72], Inner, BuildRight

(69) CometProject
Input [4]: [ws_web_page_sk#66, ws_ext_sales_price#67, ws_net_profit#68, wp_web_page_sk#72]
Arguments: [ws_ext_sales_price#67, ws_net_profit#68, wp_web_page_sk#72], [ws_ext_sales_price#67, ws_net_profit#68, wp_web_page_sk#72]

(70) ColumnarToRow [codegen id : 9]
Input [3]: [ws_ext_sales_price#67, ws_net_profit#68, wp_web_page_sk#72]

(71) HashAggregate [codegen id : 9]
Input [3]: [ws_ext_sales_price#67, ws_net_profit#68, wp_web_page_sk#72]
Keys [1]: [wp_web_page_sk#72]
Functions [2]: [partial_sum(UnscaledValue(ws_ext_sales_price#67)), partial_sum(UnscaledValue(ws_net_profit#68))]
Aggregate Attributes [2]: [sum#73, sum#74]
Results [3]: [wp_web_page_sk#72, sum#75, sum#76]

(72) RowToColumnar
Input [3]: [wp_web_page_sk#72, sum#75, sum#76]

(73) CometColumnarExchange
Input [3]: [wp_web_page_sk#72, sum#75, sum#76]
Arguments: hashpartitioning(wp_web_page_sk#72, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7]

(74) ColumnarToRow [codegen id : 12]
Input [3]: [wp_web_page_sk#72, sum#75, sum#76]

(75) HashAggregate [codegen id : 12]
Input [3]: [wp_web_page_sk#72, sum#75, sum#76]
Keys [1]: [wp_web_page_sk#72]
Functions [2]: [sum(UnscaledValue(ws_ext_sales_price#67)), sum(UnscaledValue(ws_net_profit#68))]
Aggregate Attributes [2]: [sum(UnscaledValue(ws_ext_sales_price#67))#77, sum(UnscaledValue(ws_net_profit#68))#78]
Results [3]: [wp_web_page_sk#72, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#67))#77,17,2) AS sales#79, MakeDecimal(sum(UnscaledValue(ws_net_profit#68))#78,17,2) AS profit#80]

(76) Scan parquet spark_catalog.default.web_returns
Output [4]: [wr_web_page_sk#81, wr_return_amt#82, wr_net_loss#83, wr_returned_date_sk#84]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(wr_returned_date_sk#84), dynamicpruningexpression(wr_returned_date_sk#84 IN dynamicpruning#85)]
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)>

(77) CometFilter
Input [4]: [wr_web_page_sk#81, wr_return_amt#82, wr_net_loss#83, wr_returned_date_sk#84]
Condition : isnotnull(wr_web_page_sk#81)

(78) ReusedExchange [Reuses operator id: 6]
Output [1]: [d_date_sk#86]

(79) CometBroadcastHashJoin
Left output [4]: [wr_web_page_sk#81, wr_return_amt#82, wr_net_loss#83, wr_returned_date_sk#84]
Right output [1]: [d_date_sk#86]
Arguments: [wr_returned_date_sk#84], [d_date_sk#86], Inner, BuildRight

(80) CometProject
Input [5]: [wr_web_page_sk#81, wr_return_amt#82, wr_net_loss#83, wr_returned_date_sk#84, d_date_sk#86]
Arguments: [wr_web_page_sk#81, wr_return_amt#82, wr_net_loss#83], [wr_web_page_sk#81, wr_return_amt#82, wr_net_loss#83]

(81) ReusedExchange [Reuses operator id: 67]
Output [1]: [wp_web_page_sk#87]

(82) CometBroadcastHashJoin
Left output [3]: [wr_web_page_sk#81, wr_return_amt#82, wr_net_loss#83]
Right output [1]: [wp_web_page_sk#87]
Arguments: [wr_web_page_sk#81], [wp_web_page_sk#87], Inner, BuildRight

(83) CometProject
Input [4]: [wr_web_page_sk#81, wr_return_amt#82, wr_net_loss#83, wp_web_page_sk#87]
Arguments: [wr_return_amt#82, wr_net_loss#83, wp_web_page_sk#87], [wr_return_amt#82, wr_net_loss#83, wp_web_page_sk#87]

(84) ColumnarToRow [codegen id : 10]
Input [3]: [wr_return_amt#82, wr_net_loss#83, wp_web_page_sk#87]

(85) HashAggregate [codegen id : 10]
Input [3]: [wr_return_amt#82, wr_net_loss#83, wp_web_page_sk#87]
Keys [1]: [wp_web_page_sk#87]
Functions [2]: [partial_sum(UnscaledValue(wr_return_amt#82)), partial_sum(UnscaledValue(wr_net_loss#83))]
Aggregate Attributes [2]: [sum#88, sum#89]
Results [3]: [wp_web_page_sk#87, sum#90, sum#91]

(86) RowToColumnar
Input [3]: [wp_web_page_sk#87, sum#90, sum#91]

(87) CometColumnarExchange
Input [3]: [wp_web_page_sk#87, sum#90, sum#91]
Arguments: hashpartitioning(wp_web_page_sk#87, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8]

(88) ColumnarToRow [codegen id : 11]
Input [3]: [wp_web_page_sk#87, sum#90, sum#91]

(89) HashAggregate [codegen id : 11]
Input [3]: [wp_web_page_sk#87, sum#90, sum#91]
Keys [1]: [wp_web_page_sk#87]
Functions [2]: [sum(UnscaledValue(wr_return_amt#82)), sum(UnscaledValue(wr_net_loss#83))]
Aggregate Attributes [2]: [sum(UnscaledValue(wr_return_amt#82))#92, sum(UnscaledValue(wr_net_loss#83))#93]
Results [3]: [wp_web_page_sk#87, MakeDecimal(sum(UnscaledValue(wr_return_amt#82))#92,17,2) AS returns#94, MakeDecimal(sum(UnscaledValue(wr_net_loss#83))#93,17,2) AS profit_loss#95]

(90) BroadcastExchange
Input [3]: [wp_web_page_sk#87, returns#94, profit_loss#95]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9]

(91) BroadcastHashJoin [codegen id : 12]
Left keys [1]: [wp_web_page_sk#72]
Right keys [1]: [wp_web_page_sk#87]
Join type: LeftOuter
Join condition: None

(92) Project [codegen id : 12]
Output [5]: [web channel AS channel#96, wp_web_page_sk#72 AS id#97, sales#79, coalesce(returns#94, 0.00) AS returns#98, (profit#80 - coalesce(profit_loss#95, 0.00)) AS profit#99]
Input [6]: [wp_web_page_sk#72, sales#79, profit#80, wp_web_page_sk#87, returns#94, profit_loss#95]

(93) Union

(94) HashAggregate [codegen id : 13]
Input [5]: [channel#32, id#33, sales#15, returns#34, profit#35]
Keys [2]: [channel#32, id#33]
Functions [3]: [partial_sum(sales#15), partial_sum(returns#34), partial_sum(profit#35)]
Aggregate Attributes [6]: [sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105]
Results [8]: [channel#32, id#33, sum#106, isEmpty#107, sum#108, isEmpty#109, sum#110, isEmpty#111]

(95) RowToColumnar
Input [8]: [channel#32, id#33, sum#106, isEmpty#107, sum#108, isEmpty#109, sum#110, isEmpty#111]

(96) CometColumnarExchange
Input [8]: [channel#32, id#33, sum#106, isEmpty#107, sum#108, isEmpty#109, sum#110, isEmpty#111]
Arguments: hashpartitioning(channel#32, id#33, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10]

(97) ColumnarToRow [codegen id : 14]
Input [8]: [channel#32, id#33, sum#106, isEmpty#107, sum#108, isEmpty#109, sum#110, isEmpty#111]

(98) HashAggregate [codegen id : 14]
Input [8]: [channel#32, id#33, sum#106, isEmpty#107, sum#108, isEmpty#109, sum#110, isEmpty#111]
Keys [2]: [channel#32, id#33]
Functions [3]: [sum(sales#15), sum(returns#34), sum(profit#35)]
Aggregate Attributes [3]: [sum(sales#15)#112, sum(returns#34)#113, sum(profit#35)#114]
Results [5]: [channel#32, id#33, cast(sum(sales#15)#112 as decimal(37,2)) AS sales#115, cast(sum(returns#34)#113 as decimal(37,2)) AS returns#116, cast(sum(profit#35)#114 as decimal(38,2)) AS profit#117]

(99) ReusedExchange [Reuses operator id: 96]
Output [8]: [channel#118, id#119, sum#120, isEmpty#121, sum#122, isEmpty#123, sum#124, isEmpty#125]

(100) ColumnarToRow [codegen id : 28]
Input [8]: [channel#118, id#119, sum#120, isEmpty#121, sum#122, isEmpty#123, sum#124, isEmpty#125]

(101) HashAggregate [codegen id : 28]
Input [8]: [channel#118, id#119, sum#120, isEmpty#121, sum#122, isEmpty#123, sum#124, isEmpty#125]
Keys [2]: [channel#118, id#119]
Functions [3]: [sum(sales#126), sum(returns#127), sum(profit#128)]
Aggregate Attributes [3]: [sum(sales#126)#112, sum(returns#127)#113, sum(profit#128)#114]
Results [4]: [channel#118, sum(sales#126)#112 AS sales#129, sum(returns#127)#113 AS returns#130, sum(profit#128)#114 AS profit#131]

(102) HashAggregate [codegen id : 28]
Input [4]: [channel#118, sales#129, returns#130, profit#131]
Keys [1]: [channel#118]
Functions [3]: [partial_sum(sales#129), partial_sum(returns#130), partial_sum(profit#131)]
Aggregate Attributes [6]: [sum#132, isEmpty#133, sum#134, isEmpty#135, sum#136, isEmpty#137]
Results [7]: [channel#118, sum#138, isEmpty#139, sum#140, isEmpty#141, sum#142, isEmpty#143]

(103) RowToColumnar
Input [7]: [channel#118, sum#138, isEmpty#139, sum#140, isEmpty#141, sum#142, isEmpty#143]

(104) CometColumnarExchange
Input [7]: [channel#118, sum#138, isEmpty#139, sum#140, isEmpty#141, sum#142, isEmpty#143]
Arguments: hashpartitioning(channel#118, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11]

(105) ColumnarToRow [codegen id : 29]
Input [7]: [channel#118, sum#138, isEmpty#139, sum#140, isEmpty#141, sum#142, isEmpty#143]

(106) HashAggregate [codegen id : 29]
Input [7]: [channel#118, sum#138, isEmpty#139, sum#140, isEmpty#141, sum#142, isEmpty#143]
Keys [1]: [channel#118]
Functions [3]: [sum(sales#129), sum(returns#130), sum(profit#131)]
Aggregate Attributes [3]: [sum(sales#129)#144, sum(returns#130)#145, sum(profit#131)#146]
Results [5]: [channel#118, null AS id#147, sum(sales#129)#144 AS sales#148, sum(returns#130)#145 AS returns#149, sum(profit#131)#146 AS profit#150]

(107) ReusedExchange [Reuses operator id: 96]
Output [8]: [channel#151, id#152, sum#153, isEmpty#154, sum#155, isEmpty#156, sum#157, isEmpty#158]

(108) ColumnarToRow [codegen id : 43]
Input [8]: [channel#151, id#152, sum#153, isEmpty#154, sum#155, isEmpty#156, sum#157, isEmpty#158]

(109) HashAggregate [codegen id : 43]
Input [8]: [channel#151, id#152, sum#153, isEmpty#154, sum#155, isEmpty#156, sum#157, isEmpty#158]
Keys [2]: [channel#151, id#152]
Functions [3]: [sum(sales#159), sum(returns#160), sum(profit#161)]
Aggregate Attributes [3]: [sum(sales#159)#112, sum(returns#160)#113, sum(profit#161)#114]
Results [3]: [sum(sales#159)#112 AS sales#162, sum(returns#160)#113 AS returns#163, sum(profit#161)#114 AS profit#164]

(110) HashAggregate [codegen id : 43]
Input [3]: [sales#162, returns#163, profit#164]
Keys: []
Functions [3]: [partial_sum(sales#162), partial_sum(returns#163), partial_sum(profit#164)]
Aggregate Attributes [6]: [sum#165, isEmpty#166, sum#167, isEmpty#168, sum#169, isEmpty#170]
Results [6]: [sum#171, isEmpty#172, sum#173, isEmpty#174, sum#175, isEmpty#176]

(111) RowToColumnar
Input [6]: [sum#171, isEmpty#172, sum#173, isEmpty#174, sum#175, isEmpty#176]

(112) CometColumnarExchange
Input [6]: [sum#171, isEmpty#172, sum#173, isEmpty#174, sum#175, isEmpty#176]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12]

(113) ColumnarToRow [codegen id : 44]
Input [6]: [sum#171, isEmpty#172, sum#173, isEmpty#174, sum#175, isEmpty#176]

(114) HashAggregate [codegen id : 44]
Input [6]: [sum#171, isEmpty#172, sum#173, isEmpty#174, sum#175, isEmpty#176]
Keys: []
Functions [3]: [sum(sales#162), sum(returns#163), sum(profit#164)]
Aggregate Attributes [3]: [sum(sales#162)#177, sum(returns#163)#178, sum(profit#164)#179]
Results [5]: [null AS channel#180, null AS id#181, sum(sales#162)#177 AS sales#182, sum(returns#163)#178 AS returns#183, sum(profit#164)#179 AS profit#184]

(115) Union

(116) HashAggregate [codegen id : 45]
Input [5]: [channel#32, id#33, sales#115, returns#116, profit#117]
Keys [5]: [channel#32, id#33, sales#115, returns#116, profit#117]
Functions: []
Aggregate Attributes: []
Results [5]: [channel#32, id#33, sales#115, returns#116, profit#117]

(117) RowToColumnar
Input [5]: [channel#32, id#33, sales#115, returns#116, profit#117]

(118) CometColumnarExchange
Input [5]: [channel#32, id#33, sales#115, returns#116, profit#117]
Arguments: hashpartitioning(channel#32, id#33, sales#115, returns#116, profit#117, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13]

(119) CometHashAggregate
Input [5]: [channel#32, id#33, sales#115, returns#116, profit#117]
Keys [5]: [channel#32, id#33, sales#115, returns#116, profit#117]
Functions: []

(120) CometTakeOrderedAndProject
Input [5]: [channel#32, id#33, sales#115, returns#116, profit#117]
Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#32 ASC NULLS FIRST,id#33 ASC NULLS FIRST], output=[channel#32,id#33,sales#115,returns#116,profit#117]), [channel#32, id#33, sales#115, returns#116, profit#117], 100, [channel#32 ASC NULLS FIRST, id#33 ASC NULLS FIRST], [channel#32, id#33, sales#115, returns#116, profit#117]

(121) ColumnarToRow [codegen id : 46]
Input [5]: [channel#32, id#33, sales#115, returns#116, profit#117]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5
BroadcastExchange (126)
+- * ColumnarToRow (125)
   +- CometProject (124)
      +- CometFilter (123)
         +- CometScan parquet spark_catalog.default.date_dim (122)


(122) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#6, d_date#7]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1998-08-04), LessThanOrEqual(d_date,1998-09-03), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(123) CometFilter
Input [2]: [d_date_sk#6, d_date#7]
Condition : (((isnotnull(d_date#7) AND (d_date#7 >= 1998-08-04)) AND (d_date#7 <= 1998-09-03)) AND isnotnull(d_date_sk#6))

(124) CometProject
Input [2]: [d_date_sk#6, d_date#7]
Arguments: [d_date_sk#6], [d_date_sk#6]

(125) ColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#6]

(126) BroadcastExchange
Input [1]: [d_date_sk#6]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14]

Subquery:2 Hosting operator id = 20 Hosting Expression = sr_returned_date_sk#20 IN dynamicpruning#5

Subquery:3 Hosting operator id = 37 Hosting Expression = cs_sold_date_sk#39 IN dynamicpruning#5

Subquery:4 Hosting operator id = 48 Hosting Expression = cr_returned_date_sk#52 IN dynamicpruning#5

Subquery:5 Hosting operator id = 60 Hosting Expression = ws_sold_date_sk#69 IN dynamicpruning#5

Subquery:6 Hosting operator id = 76 Hosting Expression = wr_returned_date_sk#84 IN dynamicpruning#5


