== Physical Plan ==
TakeOrderedAndProject (74)
+- * HashAggregate (73)
   +- * CometColumnarToRow (72)
      +- CometColumnarExchange (71)
         +- * HashAggregate (70)
            +- * Expand (69)
               +- Union (68)
                  :- * HashAggregate (23)
                  :  +- * CometColumnarToRow (22)
                  :     +- CometExchange (21)
                  :        +- CometHashAggregate (20)
                  :           +- CometProject (19)
                  :              +- CometBroadcastHashJoin (18)
                  :                 :- CometProject (13)
                  :                 :  +- CometBroadcastHashJoin (12)
                  :                 :     :- CometUnion (7)
                  :                 :     :  :- CometProject (3)
                  :                 :     :  :  +- CometFilter (2)
                  :                 :     :  :     +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1)
                  :                 :     :  +- CometProject (6)
                  :                 :     :     +- CometFilter (5)
                  :                 :     :        +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (4)
                  :                 :     +- CometBroadcastExchange (11)
                  :                 :        +- CometProject (10)
                  :                 :           +- CometFilter (9)
                  :                 :              +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (8)
                  :                 +- CometBroadcastExchange (17)
                  :                    +- CometProject (16)
                  :                       +- CometFilter (15)
                  :                          +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (14)
                  :- * HashAggregate (43)
                  :  +- * CometColumnarToRow (42)
                  :     +- CometExchange (41)
                  :        +- CometHashAggregate (40)
                  :           +- CometProject (39)
                  :              +- CometBroadcastHashJoin (38)
                  :                 :- CometProject (33)
                  :                 :  +- CometBroadcastHashJoin (32)
                  :                 :     :- CometUnion (30)
                  :                 :     :  :- CometProject (26)
                  :                 :     :  :  +- CometFilter (25)
                  :                 :     :  :     +- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales (24)
                  :                 :     :  +- CometProject (29)
                  :                 :     :     +- CometFilter (28)
                  :                 :     :        +- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns (27)
                  :                 :     +- ReusedExchange (31)
                  :                 +- CometBroadcastExchange (37)
                  :                    +- CometProject (36)
                  :                       +- CometFilter (35)
                  :                          +- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_page (34)
                  +- * HashAggregate (67)
                     +- * CometColumnarToRow (66)
                        +- CometExchange (65)
                           +- CometHashAggregate (64)
                              +- CometProject (63)
                                 +- CometBroadcastHashJoin (62)
                                    :- CometProject (57)
                                    :  +- CometBroadcastHashJoin (56)
                                    :     :- CometUnion (54)
                                    :     :  :- CometProject (46)
                                    :     :  :  +- CometFilter (45)
                                    :     :  :     +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (44)
                                    :     :  +- CometProject (53)
                                    :     :     +- CometBroadcastHashJoin (52)
                                    :     :        :- CometBroadcastExchange (48)
                                    :     :        :  +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns (47)
                                    :     :        +- CometProject (51)
                                    :     :           +- CometFilter (50)
                                    :     :              +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (49)
                                    :     +- ReusedExchange (55)
                                    +- CometBroadcastExchange (61)
                                       +- CometProject (60)
                                          +- CometFilter (59)
                                             +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_site (58)


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

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

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

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

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

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

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

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

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

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

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

(14) CometScan [native_iceberg_compat] parquet spark_catalog.default.store
Output [2]: [s_store_sk#24, s_store_id#25]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_store_id:string>

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

(16) CometProject
Input [2]: [s_store_sk#24, s_store_id#25]
Arguments: [s_store_sk#24, s_store_id#26], [s_store_sk#24, static_invoke(CharVarcharCodegenUtils.readSidePadding(s_store_id#25, 16)) AS s_store_id#26]

(17) CometBroadcastExchange
Input [2]: [s_store_sk#24, s_store_id#26]
Arguments: [s_store_sk#24, s_store_id#26]

(18) CometBroadcastHashJoin
Left output [5]: [store_sk#6, sales_price#8, profit#9, return_amt#10, net_loss#11]
Right output [2]: [s_store_sk#24, s_store_id#26]
Arguments: [store_sk#6], [s_store_sk#24], Inner, BuildRight

(19) CometProject
Input [7]: [store_sk#6, sales_price#8, profit#9, return_amt#10, net_loss#11, s_store_sk#24, s_store_id#26]
Arguments: [sales_price#8, profit#9, return_amt#10, net_loss#11, s_store_id#26], [sales_price#8, profit#9, return_amt#10, net_loss#11, s_store_id#26]

(20) CometHashAggregate
Input [5]: [sales_price#8, profit#9, return_amt#10, net_loss#11, s_store_id#26]
Keys [1]: [s_store_id#26]
Functions [4]: [partial_sum(UnscaledValue(sales_price#8)), partial_sum(UnscaledValue(return_amt#10)), partial_sum(UnscaledValue(profit#9)), partial_sum(UnscaledValue(net_loss#11))]

(21) CometExchange
Input [5]: [s_store_id#26, sum#27, sum#28, sum#29, sum#30]
Arguments: hashpartitioning(s_store_id#26, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(22) CometColumnarToRow [codegen id : 1]
Input [5]: [s_store_id#26, sum#27, sum#28, sum#29, sum#30]

(23) HashAggregate [codegen id : 1]
Input [5]: [s_store_id#26, sum#27, sum#28, sum#29, sum#30]
Keys [1]: [s_store_id#26]
Functions [4]: [sum(UnscaledValue(sales_price#8)), sum(UnscaledValue(return_amt#10)), sum(UnscaledValue(profit#9)), sum(UnscaledValue(net_loss#11))]
Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#8))#31, sum(UnscaledValue(return_amt#10))#32, sum(UnscaledValue(profit#9))#33, sum(UnscaledValue(net_loss#11))#34]
Results [5]: [MakeDecimal(sum(UnscaledValue(sales_price#8))#31,17,2) AS sales#35, MakeDecimal(sum(UnscaledValue(return_amt#10))#32,17,2) AS returns#36, (MakeDecimal(sum(UnscaledValue(profit#9))#33,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#11))#34,17,2)) AS profit#37, store channel AS channel#38, concat(store, s_store_id#26) AS id#39]

(24) CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales
Output [4]: [cs_catalog_page_sk#40, cs_ext_sales_price#41, cs_net_profit#42, cs_sold_date_sk#43]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#43), dynamicpruningexpression(cs_sold_date_sk#43 IN dynamicpruning#44)]
PushedFilters: [IsNotNull(cs_catalog_page_sk)]
ReadSchema: struct<cs_catalog_page_sk:int,cs_ext_sales_price:decimal(7,2),cs_net_profit:decimal(7,2)>

(25) CometFilter
Input [4]: [cs_catalog_page_sk#40, cs_ext_sales_price#41, cs_net_profit#42, cs_sold_date_sk#43]
Condition : isnotnull(cs_catalog_page_sk#40)

(26) CometProject
Input [4]: [cs_catalog_page_sk#40, cs_ext_sales_price#41, cs_net_profit#42, cs_sold_date_sk#43]
Arguments: [page_sk#45, date_sk#46, sales_price#47, profit#48, return_amt#49, net_loss#50], [cs_catalog_page_sk#40 AS page_sk#45, cs_sold_date_sk#43 AS date_sk#46, cs_ext_sales_price#41 AS sales_price#47, cs_net_profit#42 AS profit#48, 0.00 AS return_amt#49, 0.00 AS net_loss#50]

(27) CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns
Output [4]: [cr_catalog_page_sk#51, cr_return_amount#52, cr_net_loss#53, cr_returned_date_sk#54]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cr_returned_date_sk#54), dynamicpruningexpression(cr_returned_date_sk#54 IN dynamicpruning#44)]
PushedFilters: [IsNotNull(cr_catalog_page_sk)]
ReadSchema: struct<cr_catalog_page_sk:int,cr_return_amount:decimal(7,2),cr_net_loss:decimal(7,2)>

(28) CometFilter
Input [4]: [cr_catalog_page_sk#51, cr_return_amount#52, cr_net_loss#53, cr_returned_date_sk#54]
Condition : isnotnull(cr_catalog_page_sk#51)

(29) CometProject
Input [4]: [cr_catalog_page_sk#51, cr_return_amount#52, cr_net_loss#53, cr_returned_date_sk#54]
Arguments: [page_sk#55, date_sk#56, sales_price#57, profit#58, return_amt#59, net_loss#60], [cr_catalog_page_sk#51 AS page_sk#55, cr_returned_date_sk#54 AS date_sk#56, 0.00 AS sales_price#57, 0.00 AS profit#58, cr_return_amount#52 AS return_amt#59, cr_net_loss#53 AS net_loss#60]

(30) CometUnion
Child 0 Input [6]: [page_sk#45, date_sk#46, sales_price#47, profit#48, return_amt#49, net_loss#50]
Child 1 Input [6]: [page_sk#55, date_sk#56, sales_price#57, profit#58, return_amt#59, net_loss#60]

(31) ReusedExchange [Reuses operator id: 11]
Output [1]: [d_date_sk#61]

(32) CometBroadcastHashJoin
Left output [6]: [page_sk#45, date_sk#46, sales_price#47, profit#48, return_amt#49, net_loss#50]
Right output [1]: [d_date_sk#61]
Arguments: [date_sk#46], [d_date_sk#61], Inner, BuildRight

(33) CometProject
Input [7]: [page_sk#45, date_sk#46, sales_price#47, profit#48, return_amt#49, net_loss#50, d_date_sk#61]
Arguments: [page_sk#45, sales_price#47, profit#48, return_amt#49, net_loss#50], [page_sk#45, sales_price#47, profit#48, return_amt#49, net_loss#50]

(34) CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_page
Output [2]: [cp_catalog_page_sk#62, cp_catalog_page_id#63]
Batched: true
Location [not included in comparison]/{warehouse_dir}/catalog_page]
PushedFilters: [IsNotNull(cp_catalog_page_sk)]
ReadSchema: struct<cp_catalog_page_sk:int,cp_catalog_page_id:string>

(35) CometFilter
Input [2]: [cp_catalog_page_sk#62, cp_catalog_page_id#63]
Condition : isnotnull(cp_catalog_page_sk#62)

(36) CometProject
Input [2]: [cp_catalog_page_sk#62, cp_catalog_page_id#63]
Arguments: [cp_catalog_page_sk#62, cp_catalog_page_id#64], [cp_catalog_page_sk#62, static_invoke(CharVarcharCodegenUtils.readSidePadding(cp_catalog_page_id#63, 16)) AS cp_catalog_page_id#64]

(37) CometBroadcastExchange
Input [2]: [cp_catalog_page_sk#62, cp_catalog_page_id#64]
Arguments: [cp_catalog_page_sk#62, cp_catalog_page_id#64]

(38) CometBroadcastHashJoin
Left output [5]: [page_sk#45, sales_price#47, profit#48, return_amt#49, net_loss#50]
Right output [2]: [cp_catalog_page_sk#62, cp_catalog_page_id#64]
Arguments: [page_sk#45], [cp_catalog_page_sk#62], Inner, BuildRight

(39) CometProject
Input [7]: [page_sk#45, sales_price#47, profit#48, return_amt#49, net_loss#50, cp_catalog_page_sk#62, cp_catalog_page_id#64]
Arguments: [sales_price#47, profit#48, return_amt#49, net_loss#50, cp_catalog_page_id#64], [sales_price#47, profit#48, return_amt#49, net_loss#50, cp_catalog_page_id#64]

(40) CometHashAggregate
Input [5]: [sales_price#47, profit#48, return_amt#49, net_loss#50, cp_catalog_page_id#64]
Keys [1]: [cp_catalog_page_id#64]
Functions [4]: [partial_sum(UnscaledValue(sales_price#47)), partial_sum(UnscaledValue(return_amt#49)), partial_sum(UnscaledValue(profit#48)), partial_sum(UnscaledValue(net_loss#50))]

(41) CometExchange
Input [5]: [cp_catalog_page_id#64, sum#65, sum#66, sum#67, sum#68]
Arguments: hashpartitioning(cp_catalog_page_id#64, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2]

(42) CometColumnarToRow [codegen id : 2]
Input [5]: [cp_catalog_page_id#64, sum#65, sum#66, sum#67, sum#68]

(43) HashAggregate [codegen id : 2]
Input [5]: [cp_catalog_page_id#64, sum#65, sum#66, sum#67, sum#68]
Keys [1]: [cp_catalog_page_id#64]
Functions [4]: [sum(UnscaledValue(sales_price#47)), sum(UnscaledValue(return_amt#49)), sum(UnscaledValue(profit#48)), sum(UnscaledValue(net_loss#50))]
Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#47))#69, sum(UnscaledValue(return_amt#49))#70, sum(UnscaledValue(profit#48))#71, sum(UnscaledValue(net_loss#50))#72]
Results [5]: [MakeDecimal(sum(UnscaledValue(sales_price#47))#69,17,2) AS sales#73, MakeDecimal(sum(UnscaledValue(return_amt#49))#70,17,2) AS returns#74, (MakeDecimal(sum(UnscaledValue(profit#48))#71,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#50))#72,17,2)) AS profit#75, catalog channel AS channel#76, concat(catalog_page, cp_catalog_page_id#64) AS id#77]

(44) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales
Output [4]: [ws_web_site_sk#78, ws_ext_sales_price#79, ws_net_profit#80, ws_sold_date_sk#81]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#81), dynamicpruningexpression(ws_sold_date_sk#81 IN dynamicpruning#82)]
PushedFilters: [IsNotNull(ws_web_site_sk)]
ReadSchema: struct<ws_web_site_sk:int,ws_ext_sales_price:decimal(7,2),ws_net_profit:decimal(7,2)>

(45) CometFilter
Input [4]: [ws_web_site_sk#78, ws_ext_sales_price#79, ws_net_profit#80, ws_sold_date_sk#81]
Condition : isnotnull(ws_web_site_sk#78)

(46) CometProject
Input [4]: [ws_web_site_sk#78, ws_ext_sales_price#79, ws_net_profit#80, ws_sold_date_sk#81]
Arguments: [wsr_web_site_sk#83, date_sk#84, sales_price#85, profit#86, return_amt#87, net_loss#88], [ws_web_site_sk#78 AS wsr_web_site_sk#83, ws_sold_date_sk#81 AS date_sk#84, ws_ext_sales_price#79 AS sales_price#85, ws_net_profit#80 AS profit#86, 0.00 AS return_amt#87, 0.00 AS net_loss#88]

(47) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns
Output [5]: [wr_item_sk#89, wr_order_number#90, wr_return_amt#91, wr_net_loss#92, wr_returned_date_sk#93]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(wr_returned_date_sk#93), dynamicpruningexpression(wr_returned_date_sk#93 IN dynamicpruning#82)]
ReadSchema: struct<wr_item_sk:int,wr_order_number:int,wr_return_amt:decimal(7,2),wr_net_loss:decimal(7,2)>

(48) CometBroadcastExchange
Input [5]: [wr_item_sk#89, wr_order_number#90, wr_return_amt#91, wr_net_loss#92, wr_returned_date_sk#93]
Arguments: [wr_item_sk#89, wr_order_number#90, wr_return_amt#91, wr_net_loss#92, wr_returned_date_sk#93]

(49) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales
Output [4]: [ws_item_sk#94, ws_web_site_sk#95, ws_order_number#96, ws_sold_date_sk#97]
Batched: true
Location [not included in comparison]/{warehouse_dir}/web_sales]
PushedFilters: [IsNotNull(ws_item_sk), IsNotNull(ws_order_number), IsNotNull(ws_web_site_sk)]
ReadSchema: struct<ws_item_sk:int,ws_web_site_sk:int,ws_order_number:int>

(50) CometFilter
Input [4]: [ws_item_sk#94, ws_web_site_sk#95, ws_order_number#96, ws_sold_date_sk#97]
Condition : ((isnotnull(ws_item_sk#94) AND isnotnull(ws_order_number#96)) AND isnotnull(ws_web_site_sk#95))

(51) CometProject
Input [4]: [ws_item_sk#94, ws_web_site_sk#95, ws_order_number#96, ws_sold_date_sk#97]
Arguments: [ws_item_sk#94, ws_web_site_sk#95, ws_order_number#96], [ws_item_sk#94, ws_web_site_sk#95, ws_order_number#96]

(52) CometBroadcastHashJoin
Left output [5]: [wr_item_sk#89, wr_order_number#90, wr_return_amt#91, wr_net_loss#92, wr_returned_date_sk#93]
Right output [3]: [ws_item_sk#94, ws_web_site_sk#95, ws_order_number#96]
Arguments: [wr_item_sk#89, wr_order_number#90], [ws_item_sk#94, ws_order_number#96], Inner, BuildLeft

(53) CometProject
Input [8]: [wr_item_sk#89, wr_order_number#90, wr_return_amt#91, wr_net_loss#92, wr_returned_date_sk#93, ws_item_sk#94, ws_web_site_sk#95, ws_order_number#96]
Arguments: [wsr_web_site_sk#98, date_sk#99, sales_price#100, profit#101, return_amt#102, net_loss#103], [ws_web_site_sk#95 AS wsr_web_site_sk#98, wr_returned_date_sk#93 AS date_sk#99, 0.00 AS sales_price#100, 0.00 AS profit#101, wr_return_amt#91 AS return_amt#102, wr_net_loss#92 AS net_loss#103]

(54) CometUnion
Child 0 Input [6]: [wsr_web_site_sk#83, date_sk#84, sales_price#85, profit#86, return_amt#87, net_loss#88]
Child 1 Input [6]: [wsr_web_site_sk#98, date_sk#99, sales_price#100, profit#101, return_amt#102, net_loss#103]

(55) ReusedExchange [Reuses operator id: 11]
Output [1]: [d_date_sk#104]

(56) CometBroadcastHashJoin
Left output [6]: [wsr_web_site_sk#83, date_sk#84, sales_price#85, profit#86, return_amt#87, net_loss#88]
Right output [1]: [d_date_sk#104]
Arguments: [date_sk#84], [d_date_sk#104], Inner, BuildRight

(57) CometProject
Input [7]: [wsr_web_site_sk#83, date_sk#84, sales_price#85, profit#86, return_amt#87, net_loss#88, d_date_sk#104]
Arguments: [wsr_web_site_sk#83, sales_price#85, profit#86, return_amt#87, net_loss#88], [wsr_web_site_sk#83, sales_price#85, profit#86, return_amt#87, net_loss#88]

(58) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_site
Output [2]: [web_site_sk#105, web_site_id#106]
Batched: true
Location [not included in comparison]/{warehouse_dir}/web_site]
PushedFilters: [IsNotNull(web_site_sk)]
ReadSchema: struct<web_site_sk:int,web_site_id:string>

(59) CometFilter
Input [2]: [web_site_sk#105, web_site_id#106]
Condition : isnotnull(web_site_sk#105)

(60) CometProject
Input [2]: [web_site_sk#105, web_site_id#106]
Arguments: [web_site_sk#105, web_site_id#107], [web_site_sk#105, static_invoke(CharVarcharCodegenUtils.readSidePadding(web_site_id#106, 16)) AS web_site_id#107]

(61) CometBroadcastExchange
Input [2]: [web_site_sk#105, web_site_id#107]
Arguments: [web_site_sk#105, web_site_id#107]

(62) CometBroadcastHashJoin
Left output [5]: [wsr_web_site_sk#83, sales_price#85, profit#86, return_amt#87, net_loss#88]
Right output [2]: [web_site_sk#105, web_site_id#107]
Arguments: [wsr_web_site_sk#83], [web_site_sk#105], Inner, BuildRight

(63) CometProject
Input [7]: [wsr_web_site_sk#83, sales_price#85, profit#86, return_amt#87, net_loss#88, web_site_sk#105, web_site_id#107]
Arguments: [sales_price#85, profit#86, return_amt#87, net_loss#88, web_site_id#107], [sales_price#85, profit#86, return_amt#87, net_loss#88, web_site_id#107]

(64) CometHashAggregate
Input [5]: [sales_price#85, profit#86, return_amt#87, net_loss#88, web_site_id#107]
Keys [1]: [web_site_id#107]
Functions [4]: [partial_sum(UnscaledValue(sales_price#85)), partial_sum(UnscaledValue(return_amt#87)), partial_sum(UnscaledValue(profit#86)), partial_sum(UnscaledValue(net_loss#88))]

(65) CometExchange
Input [5]: [web_site_id#107, sum#108, sum#109, sum#110, sum#111]
Arguments: hashpartitioning(web_site_id#107, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3]

(66) CometColumnarToRow [codegen id : 3]
Input [5]: [web_site_id#107, sum#108, sum#109, sum#110, sum#111]

(67) HashAggregate [codegen id : 3]
Input [5]: [web_site_id#107, sum#108, sum#109, sum#110, sum#111]
Keys [1]: [web_site_id#107]
Functions [4]: [sum(UnscaledValue(sales_price#85)), sum(UnscaledValue(return_amt#87)), sum(UnscaledValue(profit#86)), sum(UnscaledValue(net_loss#88))]
Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#85))#112, sum(UnscaledValue(return_amt#87))#113, sum(UnscaledValue(profit#86))#114, sum(UnscaledValue(net_loss#88))#115]
Results [5]: [MakeDecimal(sum(UnscaledValue(sales_price#85))#112,17,2) AS sales#116, MakeDecimal(sum(UnscaledValue(return_amt#87))#113,17,2) AS returns#117, (MakeDecimal(sum(UnscaledValue(profit#86))#114,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#88))#115,17,2)) AS profit#118, web channel AS channel#119, concat(web_site, web_site_id#107) AS id#120]

(68) Union

(69) Expand [codegen id : 4]
Input [5]: [sales#35, returns#36, profit#37, channel#38, id#39]
Arguments: [[sales#35, returns#36, profit#37, channel#38, id#39, 0], [sales#35, returns#36, profit#37, channel#38, null, 1], [sales#35, returns#36, profit#37, null, null, 3]], [sales#35, returns#36, profit#37, channel#121, id#122, spark_grouping_id#123]

(70) HashAggregate [codegen id : 4]
Input [6]: [sales#35, returns#36, profit#37, channel#121, id#122, spark_grouping_id#123]
Keys [3]: [channel#121, id#122, spark_grouping_id#123]
Functions [3]: [partial_sum(sales#35), partial_sum(returns#36), partial_sum(profit#37)]
Aggregate Attributes [6]: [sum#124, isEmpty#125, sum#126, isEmpty#127, sum#128, isEmpty#129]
Results [9]: [channel#121, id#122, spark_grouping_id#123, sum#130, isEmpty#131, sum#132, isEmpty#133, sum#134, isEmpty#135]

(71) CometColumnarExchange
Input [9]: [channel#121, id#122, spark_grouping_id#123, sum#130, isEmpty#131, sum#132, isEmpty#133, sum#134, isEmpty#135]
Arguments: hashpartitioning(channel#121, id#122, spark_grouping_id#123, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4]

(72) CometColumnarToRow [codegen id : 5]
Input [9]: [channel#121, id#122, spark_grouping_id#123, sum#130, isEmpty#131, sum#132, isEmpty#133, sum#134, isEmpty#135]

(73) HashAggregate [codegen id : 5]
Input [9]: [channel#121, id#122, spark_grouping_id#123, sum#130, isEmpty#131, sum#132, isEmpty#133, sum#134, isEmpty#135]
Keys [3]: [channel#121, id#122, spark_grouping_id#123]
Functions [3]: [sum(sales#35), sum(returns#36), sum(profit#37)]
Aggregate Attributes [3]: [sum(sales#35)#136, sum(returns#36)#137, sum(profit#37)#138]
Results [5]: [channel#121, id#122, sum(sales#35)#136 AS sales#139, sum(returns#36)#137 AS returns#140, sum(profit#37)#138 AS profit#141]

(74) TakeOrderedAndProject
Input [5]: [channel#121, id#122, sales#139, returns#140, profit#141]
Arguments: 100, [channel#121 ASC NULLS FIRST, id#122 ASC NULLS FIRST], [channel#121, id#122, sales#139, returns#140, profit#141]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5
BroadcastExchange (79)
+- * CometColumnarToRow (78)
   +- CometProject (77)
      +- CometFilter (76)
         +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (75)


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

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

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

(78) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#22]

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

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

Subquery:3 Hosting operator id = 24 Hosting Expression = cs_sold_date_sk#43 IN dynamicpruning#5

Subquery:4 Hosting operator id = 27 Hosting Expression = cr_returned_date_sk#54 IN dynamicpruning#5

Subquery:5 Hosting operator id = 44 Hosting Expression = ws_sold_date_sk#81 IN dynamicpruning#5

Subquery:6 Hosting operator id = 47 Hosting Expression = wr_returned_date_sk#93 IN dynamicpruning#5


