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


(1) CometScan [native_iceberg_compat] 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) CometScan [native_iceberg_compat] 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) CometScan [native_iceberg_compat] 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) CometHashAggregate
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))]

(15) CometExchange
Input [3]: [s_store_sk#8, sum#9, sum#10]
Arguments: hashpartitioning(s_store_sk#8, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(16) CometHashAggregate
Input [3]: [s_store_sk#8, sum#9, sum#10]
Keys [1]: [s_store_sk#8]
Functions [2]: [sum(UnscaledValue(ss_ext_sales_price#2)), sum(UnscaledValue(ss_net_profit#3))]

(17) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns
Output [4]: [sr_store_sk#11, sr_return_amt#12, sr_net_loss#13, sr_returned_date_sk#14]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(sr_returned_date_sk#14), dynamicpruningexpression(sr_returned_date_sk#14 IN dynamicpruning#15)]
PushedFilters: [IsNotNull(sr_store_sk)]
ReadSchema: struct<sr_store_sk:int,sr_return_amt:decimal(7,2),sr_net_loss:decimal(7,2)>

(18) CometFilter
Input [4]: [sr_store_sk#11, sr_return_amt#12, sr_net_loss#13, sr_returned_date_sk#14]
Condition : isnotnull(sr_store_sk#11)

(19) ReusedExchange [Reuses operator id: 6]
Output [1]: [d_date_sk#16]

(20) CometBroadcastHashJoin
Left output [4]: [sr_store_sk#11, sr_return_amt#12, sr_net_loss#13, sr_returned_date_sk#14]
Right output [1]: [d_date_sk#16]
Arguments: [sr_returned_date_sk#14], [d_date_sk#16], Inner, BuildRight

(21) CometProject
Input [5]: [sr_store_sk#11, sr_return_amt#12, sr_net_loss#13, sr_returned_date_sk#14, d_date_sk#16]
Arguments: [sr_store_sk#11, sr_return_amt#12, sr_net_loss#13], [sr_store_sk#11, sr_return_amt#12, sr_net_loss#13]

(22) ReusedExchange [Reuses operator id: 11]
Output [1]: [s_store_sk#17]

(23) CometBroadcastHashJoin
Left output [3]: [sr_store_sk#11, sr_return_amt#12, sr_net_loss#13]
Right output [1]: [s_store_sk#17]
Arguments: [sr_store_sk#11], [s_store_sk#17], Inner, BuildRight

(24) CometProject
Input [4]: [sr_store_sk#11, sr_return_amt#12, sr_net_loss#13, s_store_sk#17]
Arguments: [sr_return_amt#12, sr_net_loss#13, s_store_sk#17], [sr_return_amt#12, sr_net_loss#13, s_store_sk#17]

(25) CometHashAggregate
Input [3]: [sr_return_amt#12, sr_net_loss#13, s_store_sk#17]
Keys [1]: [s_store_sk#17]
Functions [2]: [partial_sum(UnscaledValue(sr_return_amt#12)), partial_sum(UnscaledValue(sr_net_loss#13))]

(26) CometExchange
Input [3]: [s_store_sk#17, sum#18, sum#19]
Arguments: hashpartitioning(s_store_sk#17, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2]

(27) CometHashAggregate
Input [3]: [s_store_sk#17, sum#18, sum#19]
Keys [1]: [s_store_sk#17]
Functions [2]: [sum(UnscaledValue(sr_return_amt#12)), sum(UnscaledValue(sr_net_loss#13))]

(28) CometBroadcastExchange
Input [3]: [s_store_sk#17, returns#20, profit_loss#21]
Arguments: [s_store_sk#17, returns#20, profit_loss#21]

(29) CometBroadcastHashJoin
Left output [3]: [s_store_sk#8, sales#22, profit#23]
Right output [3]: [s_store_sk#17, returns#20, profit_loss#21]
Arguments: [s_store_sk#8], [s_store_sk#17], LeftOuter, BuildRight

(30) CometProject
Input [6]: [s_store_sk#8, sales#22, profit#23, s_store_sk#17, returns#20, profit_loss#21]
Arguments: [channel#24, id#25, sales#22, returns#26, profit#27], [store channel AS channel#24, s_store_sk#8 AS id#25, sales#22, coalesce(returns#20, 0.00) AS returns#26, (profit#23 - coalesce(profit_loss#21, 0.00)) AS profit#27]

(31) CometColumnarToRow [codegen id : 1]
Input [5]: [channel#24, id#25, sales#22, returns#26, profit#27]

(32) CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales
Output [4]: [cs_call_center_sk#28, cs_ext_sales_price#29, cs_net_profit#30, cs_sold_date_sk#31]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#31), dynamicpruningexpression(cs_sold_date_sk#31 IN dynamicpruning#32)]
ReadSchema: struct<cs_call_center_sk:int,cs_ext_sales_price:decimal(7,2),cs_net_profit:decimal(7,2)>

(33) ReusedExchange [Reuses operator id: 6]
Output [1]: [d_date_sk#33]

(34) CometBroadcastHashJoin
Left output [4]: [cs_call_center_sk#28, cs_ext_sales_price#29, cs_net_profit#30, cs_sold_date_sk#31]
Right output [1]: [d_date_sk#33]
Arguments: [cs_sold_date_sk#31], [d_date_sk#33], Inner, BuildRight

(35) CometProject
Input [5]: [cs_call_center_sk#28, cs_ext_sales_price#29, cs_net_profit#30, cs_sold_date_sk#31, d_date_sk#33]
Arguments: [cs_call_center_sk#28, cs_ext_sales_price#29, cs_net_profit#30], [cs_call_center_sk#28, cs_ext_sales_price#29, cs_net_profit#30]

(36) CometHashAggregate
Input [3]: [cs_call_center_sk#28, cs_ext_sales_price#29, cs_net_profit#30]
Keys [1]: [cs_call_center_sk#28]
Functions [2]: [partial_sum(UnscaledValue(cs_ext_sales_price#29)), partial_sum(UnscaledValue(cs_net_profit#30))]

(37) CometExchange
Input [3]: [cs_call_center_sk#28, sum#34, sum#35]
Arguments: hashpartitioning(cs_call_center_sk#28, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3]

(38) CometHashAggregate
Input [3]: [cs_call_center_sk#28, sum#34, sum#35]
Keys [1]: [cs_call_center_sk#28]
Functions [2]: [sum(UnscaledValue(cs_ext_sales_price#29)), sum(UnscaledValue(cs_net_profit#30))]

(39) CometColumnarToRow [codegen id : 2]
Input [3]: [cs_call_center_sk#28, sales#36, profit#37]

(40) BroadcastExchange
Input [3]: [cs_call_center_sk#28, sales#36, profit#37]
Arguments: IdentityBroadcastMode, [plan_id=4]

(41) CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns
Output [3]: [cr_return_amount#38, cr_net_loss#39, cr_returned_date_sk#40]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cr_returned_date_sk#40), dynamicpruningexpression(cr_returned_date_sk#40 IN dynamicpruning#41)]
ReadSchema: struct<cr_return_amount:decimal(7,2),cr_net_loss:decimal(7,2)>

(42) ReusedExchange [Reuses operator id: 6]
Output [1]: [d_date_sk#42]

(43) CometBroadcastHashJoin
Left output [3]: [cr_return_amount#38, cr_net_loss#39, cr_returned_date_sk#40]
Right output [1]: [d_date_sk#42]
Arguments: [cr_returned_date_sk#40], [d_date_sk#42], Inner, BuildRight

(44) CometProject
Input [4]: [cr_return_amount#38, cr_net_loss#39, cr_returned_date_sk#40, d_date_sk#42]
Arguments: [cr_return_amount#38, cr_net_loss#39], [cr_return_amount#38, cr_net_loss#39]

(45) CometHashAggregate
Input [2]: [cr_return_amount#38, cr_net_loss#39]
Keys: []
Functions [2]: [partial_sum(UnscaledValue(cr_return_amount#38)), partial_sum(UnscaledValue(cr_net_loss#39))]

(46) CometExchange
Input [2]: [sum#43, sum#44]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5]

(47) CometHashAggregate
Input [2]: [sum#43, sum#44]
Keys: []
Functions [2]: [sum(UnscaledValue(cr_return_amount#38)), sum(UnscaledValue(cr_net_loss#39))]

(48) CometColumnarToRow
Input [2]: [returns#45, profit_loss#46]

(49) BroadcastNestedLoopJoin [codegen id : 3]
Join type: Inner
Join condition: None

(50) Project [codegen id : 3]
Output [5]: [catalog channel AS channel#47, cs_call_center_sk#28 AS id#48, sales#36, returns#45, (profit#37 - profit_loss#46) AS profit#49]
Input [5]: [cs_call_center_sk#28, sales#36, profit#37, returns#45, profit_loss#46]

(51) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales
Output [4]: [ws_web_page_sk#50, ws_ext_sales_price#51, ws_net_profit#52, ws_sold_date_sk#53]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#53), dynamicpruningexpression(ws_sold_date_sk#53 IN dynamicpruning#54)]
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)>

(52) CometFilter
Input [4]: [ws_web_page_sk#50, ws_ext_sales_price#51, ws_net_profit#52, ws_sold_date_sk#53]
Condition : isnotnull(ws_web_page_sk#50)

(53) ReusedExchange [Reuses operator id: 6]
Output [1]: [d_date_sk#55]

(54) CometBroadcastHashJoin
Left output [4]: [ws_web_page_sk#50, ws_ext_sales_price#51, ws_net_profit#52, ws_sold_date_sk#53]
Right output [1]: [d_date_sk#55]
Arguments: [ws_sold_date_sk#53], [d_date_sk#55], Inner, BuildRight

(55) CometProject
Input [5]: [ws_web_page_sk#50, ws_ext_sales_price#51, ws_net_profit#52, ws_sold_date_sk#53, d_date_sk#55]
Arguments: [ws_web_page_sk#50, ws_ext_sales_price#51, ws_net_profit#52], [ws_web_page_sk#50, ws_ext_sales_price#51, ws_net_profit#52]

(56) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page
Output [1]: [wp_web_page_sk#56]
Batched: true
Location [not included in comparison]/{warehouse_dir}/web_page]
PushedFilters: [IsNotNull(wp_web_page_sk)]
ReadSchema: struct<wp_web_page_sk:int>

(57) CometFilter
Input [1]: [wp_web_page_sk#56]
Condition : isnotnull(wp_web_page_sk#56)

(58) CometBroadcastExchange
Input [1]: [wp_web_page_sk#56]
Arguments: [wp_web_page_sk#56]

(59) CometBroadcastHashJoin
Left output [3]: [ws_web_page_sk#50, ws_ext_sales_price#51, ws_net_profit#52]
Right output [1]: [wp_web_page_sk#56]
Arguments: [ws_web_page_sk#50], [wp_web_page_sk#56], Inner, BuildRight

(60) CometProject
Input [4]: [ws_web_page_sk#50, ws_ext_sales_price#51, ws_net_profit#52, wp_web_page_sk#56]
Arguments: [ws_ext_sales_price#51, ws_net_profit#52, wp_web_page_sk#56], [ws_ext_sales_price#51, ws_net_profit#52, wp_web_page_sk#56]

(61) CometHashAggregate
Input [3]: [ws_ext_sales_price#51, ws_net_profit#52, wp_web_page_sk#56]
Keys [1]: [wp_web_page_sk#56]
Functions [2]: [partial_sum(UnscaledValue(ws_ext_sales_price#51)), partial_sum(UnscaledValue(ws_net_profit#52))]

(62) CometExchange
Input [3]: [wp_web_page_sk#56, sum#57, sum#58]
Arguments: hashpartitioning(wp_web_page_sk#56, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6]

(63) CometHashAggregate
Input [3]: [wp_web_page_sk#56, sum#57, sum#58]
Keys [1]: [wp_web_page_sk#56]
Functions [2]: [sum(UnscaledValue(ws_ext_sales_price#51)), sum(UnscaledValue(ws_net_profit#52))]

(64) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns
Output [4]: [wr_web_page_sk#59, wr_return_amt#60, wr_net_loss#61, wr_returned_date_sk#62]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(wr_returned_date_sk#62), dynamicpruningexpression(wr_returned_date_sk#62 IN dynamicpruning#63)]
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)>

(65) CometFilter
Input [4]: [wr_web_page_sk#59, wr_return_amt#60, wr_net_loss#61, wr_returned_date_sk#62]
Condition : isnotnull(wr_web_page_sk#59)

(66) ReusedExchange [Reuses operator id: 6]
Output [1]: [d_date_sk#64]

(67) CometBroadcastHashJoin
Left output [4]: [wr_web_page_sk#59, wr_return_amt#60, wr_net_loss#61, wr_returned_date_sk#62]
Right output [1]: [d_date_sk#64]
Arguments: [wr_returned_date_sk#62], [d_date_sk#64], Inner, BuildRight

(68) CometProject
Input [5]: [wr_web_page_sk#59, wr_return_amt#60, wr_net_loss#61, wr_returned_date_sk#62, d_date_sk#64]
Arguments: [wr_web_page_sk#59, wr_return_amt#60, wr_net_loss#61], [wr_web_page_sk#59, wr_return_amt#60, wr_net_loss#61]

(69) ReusedExchange [Reuses operator id: 58]
Output [1]: [wp_web_page_sk#65]

(70) CometBroadcastHashJoin
Left output [3]: [wr_web_page_sk#59, wr_return_amt#60, wr_net_loss#61]
Right output [1]: [wp_web_page_sk#65]
Arguments: [wr_web_page_sk#59], [wp_web_page_sk#65], Inner, BuildRight

(71) CometProject
Input [4]: [wr_web_page_sk#59, wr_return_amt#60, wr_net_loss#61, wp_web_page_sk#65]
Arguments: [wr_return_amt#60, wr_net_loss#61, wp_web_page_sk#65], [wr_return_amt#60, wr_net_loss#61, wp_web_page_sk#65]

(72) CometHashAggregate
Input [3]: [wr_return_amt#60, wr_net_loss#61, wp_web_page_sk#65]
Keys [1]: [wp_web_page_sk#65]
Functions [2]: [partial_sum(UnscaledValue(wr_return_amt#60)), partial_sum(UnscaledValue(wr_net_loss#61))]

(73) CometExchange
Input [3]: [wp_web_page_sk#65, sum#66, sum#67]
Arguments: hashpartitioning(wp_web_page_sk#65, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7]

(74) CometHashAggregate
Input [3]: [wp_web_page_sk#65, sum#66, sum#67]
Keys [1]: [wp_web_page_sk#65]
Functions [2]: [sum(UnscaledValue(wr_return_amt#60)), sum(UnscaledValue(wr_net_loss#61))]

(75) CometBroadcastExchange
Input [3]: [wp_web_page_sk#65, returns#68, profit_loss#69]
Arguments: [wp_web_page_sk#65, returns#68, profit_loss#69]

(76) CometBroadcastHashJoin
Left output [3]: [wp_web_page_sk#56, sales#70, profit#71]
Right output [3]: [wp_web_page_sk#65, returns#68, profit_loss#69]
Arguments: [wp_web_page_sk#56], [wp_web_page_sk#65], LeftOuter, BuildRight

(77) CometProject
Input [6]: [wp_web_page_sk#56, sales#70, profit#71, wp_web_page_sk#65, returns#68, profit_loss#69]
Arguments: [channel#72, id#73, sales#70, returns#74, profit#75], [web channel AS channel#72, wp_web_page_sk#56 AS id#73, sales#70, coalesce(returns#68, 0.00) AS returns#74, (profit#71 - coalesce(profit_loss#69, 0.00)) AS profit#75]

(78) CometColumnarToRow [codegen id : 4]
Input [5]: [channel#72, id#73, sales#70, returns#74, profit#75]

(79) Union

(80) HashAggregate [codegen id : 5]
Input [5]: [channel#24, id#25, sales#22, returns#26, profit#27]
Keys [2]: [channel#24, id#25]
Functions [3]: [partial_sum(sales#22), partial_sum(returns#26), partial_sum(profit#27)]
Aggregate Attributes [6]: [sum#76, isEmpty#77, sum#78, isEmpty#79, sum#80, isEmpty#81]
Results [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87]

(81) CometColumnarExchange
Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87]
Arguments: hashpartitioning(channel#24, id#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8]

(82) CometColumnarToRow [codegen id : 6]
Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87]

(83) HashAggregate [codegen id : 6]
Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87]
Keys [2]: [channel#24, id#25]
Functions [3]: [sum(sales#22), sum(returns#26), sum(profit#27)]
Aggregate Attributes [3]: [sum(sales#22)#88, sum(returns#26)#89, sum(profit#27)#90]
Results [5]: [channel#24, id#25, cast(sum(sales#22)#88 as decimal(37,2)) AS sales#91, cast(sum(returns#26)#89 as decimal(37,2)) AS returns#92, cast(sum(profit#27)#90 as decimal(38,2)) AS profit#93]

(84) ReusedExchange [Reuses operator id: 81]
Output [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87]

(85) CometColumnarToRow [codegen id : 12]
Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87]

(86) HashAggregate [codegen id : 12]
Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87]
Keys [2]: [channel#24, id#25]
Functions [3]: [sum(sales#22), sum(returns#26), sum(profit#27)]
Aggregate Attributes [3]: [sum(sales#22)#88, sum(returns#26)#89, sum(profit#27)#90]
Results [4]: [channel#24, sum(sales#22)#88 AS sales#94, sum(returns#26)#89 AS returns#95, sum(profit#27)#90 AS profit#96]

(87) HashAggregate [codegen id : 12]
Input [4]: [channel#24, sales#94, returns#95, profit#96]
Keys [1]: [channel#24]
Functions [3]: [partial_sum(sales#94), partial_sum(returns#95), partial_sum(profit#96)]
Aggregate Attributes [6]: [sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102]
Results [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108]

(88) CometColumnarExchange
Input [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108]
Arguments: hashpartitioning(channel#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9]

(89) CometColumnarToRow [codegen id : 13]
Input [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108]

(90) HashAggregate [codegen id : 13]
Input [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108]
Keys [1]: [channel#24]
Functions [3]: [sum(sales#94), sum(returns#95), sum(profit#96)]
Aggregate Attributes [3]: [sum(sales#94)#109, sum(returns#95)#110, sum(profit#96)#111]
Results [5]: [channel#24, null AS id#112, sum(sales#94)#109 AS sales#113, sum(returns#95)#110 AS returns#114, sum(profit#96)#111 AS profit#115]

(91) ReusedExchange [Reuses operator id: 81]
Output [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87]

(92) CometColumnarToRow [codegen id : 19]
Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87]

(93) HashAggregate [codegen id : 19]
Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87]
Keys [2]: [channel#24, id#25]
Functions [3]: [sum(sales#22), sum(returns#26), sum(profit#27)]
Aggregate Attributes [3]: [sum(sales#22)#88, sum(returns#26)#89, sum(profit#27)#90]
Results [3]: [sum(sales#22)#88 AS sales#94, sum(returns#26)#89 AS returns#95, sum(profit#27)#90 AS profit#96]

(94) HashAggregate [codegen id : 19]
Input [3]: [sales#94, returns#95, profit#96]
Keys: []
Functions [3]: [partial_sum(sales#94), partial_sum(returns#95), partial_sum(profit#96)]
Aggregate Attributes [6]: [sum#116, isEmpty#117, sum#118, isEmpty#119, sum#120, isEmpty#121]
Results [6]: [sum#122, isEmpty#123, sum#124, isEmpty#125, sum#126, isEmpty#127]

(95) CometColumnarExchange
Input [6]: [sum#122, isEmpty#123, sum#124, isEmpty#125, sum#126, isEmpty#127]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10]

(96) CometColumnarToRow [codegen id : 20]
Input [6]: [sum#122, isEmpty#123, sum#124, isEmpty#125, sum#126, isEmpty#127]

(97) HashAggregate [codegen id : 20]
Input [6]: [sum#122, isEmpty#123, sum#124, isEmpty#125, sum#126, isEmpty#127]
Keys: []
Functions [3]: [sum(sales#94), sum(returns#95), sum(profit#96)]
Aggregate Attributes [3]: [sum(sales#94)#128, sum(returns#95)#129, sum(profit#96)#130]
Results [5]: [null AS channel#131, null AS id#132, sum(sales#94)#128 AS sales#133, sum(returns#95)#129 AS returns#134, sum(profit#96)#130 AS profit#135]

(98) Union

(99) HashAggregate [codegen id : 21]
Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93]
Keys [5]: [channel#24, id#25, sales#91, returns#92, profit#93]
Functions: []
Aggregate Attributes: []
Results [5]: [channel#24, id#25, sales#91, returns#92, profit#93]

(100) CometColumnarExchange
Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93]
Arguments: hashpartitioning(channel#24, id#25, sales#91, returns#92, profit#93, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11]

(101) CometHashAggregate
Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93]
Keys [5]: [channel#24, id#25, sales#91, returns#92, profit#93]
Functions: []

(102) CometTakeOrderedAndProject
Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93]
Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#24 ASC NULLS FIRST,id#25 ASC NULLS FIRST], output=[channel#24,id#25,sales#91,returns#92,profit#93]), [channel#24, id#25, sales#91, returns#92, profit#93], 100, 0, [channel#24 ASC NULLS FIRST, id#25 ASC NULLS FIRST], [channel#24, id#25, sales#91, returns#92, profit#93]

(103) CometColumnarToRow [codegen id : 22]
Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5
BroadcastExchange (108)
+- * CometColumnarToRow (107)
   +- CometProject (106)
      +- CometFilter (105)
         +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (104)


(104) CometScan [native_iceberg_compat] 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>

(105) 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))

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

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

(108) BroadcastExchange
Input [1]: [d_date_sk#6]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12]

Subquery:2 Hosting operator id = 17 Hosting Expression = sr_returned_date_sk#14 IN dynamicpruning#5

Subquery:3 Hosting operator id = 32 Hosting Expression = cs_sold_date_sk#31 IN dynamicpruning#5

Subquery:4 Hosting operator id = 41 Hosting Expression = cr_returned_date_sk#40 IN dynamicpruning#5

Subquery:5 Hosting operator id = 51 Hosting Expression = ws_sold_date_sk#53 IN dynamicpruning#5

Subquery:6 Hosting operator id = 64 Hosting Expression = wr_returned_date_sk#62 IN dynamicpruning#5


