== Physical Plan ==
TakeOrderedAndProject (85)
+- * HashAggregate (84)
   +- * CometColumnarToRow (83)
      +- CometColumnarExchange (82)
         +- * HashAggregate (81)
            +- * Expand (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)


(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,2000-08-03), LessThanOrEqual(d_date,2000-09-02), 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 >= 2000-08-03)) AND (d_date#7 <= 2000-09-02)) 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: [sales#22, returns#24, profit#25, channel#26, id#27], [sales#22, coalesce(returns#20, 0.00) AS returns#24, (profit#23 - coalesce(profit_loss#21, 0.00)) AS profit#25, store channel AS channel#26, s_store_sk#8 AS id#27]

(31) CometColumnarToRow [codegen id : 1]
Input [5]: [sales#22, returns#24, profit#25, channel#26, id#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]: [sales#36, returns#45, (profit#37 - profit_loss#46) AS profit#47, catalog channel AS channel#48, cs_call_center_sk#28 AS id#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: [sales#70, returns#72, profit#73, channel#74, id#75], [sales#70, coalesce(returns#68, 0.00) AS returns#72, (profit#71 - coalesce(profit_loss#69, 0.00)) AS profit#73, web channel AS channel#74, wp_web_page_sk#56 AS id#75]

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

(79) Union

(80) Expand [codegen id : 5]
Input [5]: [sales#22, returns#24, profit#25, channel#26, id#27]
Arguments: [[sales#22, returns#24, profit#25, channel#26, id#27, 0], [sales#22, returns#24, profit#25, channel#26, null, 1], [sales#22, returns#24, profit#25, null, null, 3]], [sales#22, returns#24, profit#25, channel#76, id#77, spark_grouping_id#78]

(81) HashAggregate [codegen id : 5]
Input [6]: [sales#22, returns#24, profit#25, channel#76, id#77, spark_grouping_id#78]
Keys [3]: [channel#76, id#77, spark_grouping_id#78]
Functions [3]: [partial_sum(sales#22), partial_sum(returns#24), partial_sum(profit#25)]
Aggregate Attributes [6]: [sum#79, isEmpty#80, sum#81, isEmpty#82, sum#83, isEmpty#84]
Results [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90]

(82) CometColumnarExchange
Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90]
Arguments: hashpartitioning(channel#76, id#77, spark_grouping_id#78, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8]

(83) CometColumnarToRow [codegen id : 6]
Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90]

(84) HashAggregate [codegen id : 6]
Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90]
Keys [3]: [channel#76, id#77, spark_grouping_id#78]
Functions [3]: [sum(sales#22), sum(returns#24), sum(profit#25)]
Aggregate Attributes [3]: [sum(sales#22)#91, sum(returns#24)#92, sum(profit#25)#93]
Results [5]: [channel#76, id#77, sum(sales#22)#91 AS sales#94, sum(returns#24)#92 AS returns#95, sum(profit#25)#93 AS profit#96]

(85) TakeOrderedAndProject
Input [5]: [channel#76, id#77, sales#94, returns#95, profit#96]
Arguments: 100, [channel#76 ASC NULLS FIRST, id#77 ASC NULLS FIRST], [channel#76, id#77, sales#94, returns#95, profit#96]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5
BroadcastExchange (90)
+- * CometColumnarToRow (89)
   +- CometProject (88)
      +- CometFilter (87)
         +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (86)


(86) 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,2000-08-03), LessThanOrEqual(d_date,2000-09-02), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(87) CometFilter
Input [2]: [d_date_sk#6, d_date#7]
Condition : (((isnotnull(d_date#7) AND (d_date#7 >= 2000-08-03)) AND (d_date#7 <= 2000-09-02)) AND isnotnull(d_date_sk#6))

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

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

(90) BroadcastExchange
Input [1]: [d_date_sk#6]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9]

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


