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


(1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales
Output [7]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#7), dynamicpruningexpression(ss_sold_date_sk#7 IN dynamicpruning#8)]
PushedFilters: [IsNotNull(ss_store_sk), IsNotNull(ss_item_sk), IsNotNull(ss_promo_sk)]
ReadSchema: struct<ss_item_sk:int,ss_store_sk:int,ss_promo_sk:int,ss_ticket_number:int,ss_ext_sales_price:decimal(7,2),ss_net_profit:decimal(7,2)>

(2) CometFilter
Input [7]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]
Condition : ((isnotnull(ss_store_sk#2) AND isnotnull(ss_item_sk#1)) AND isnotnull(ss_promo_sk#3))

(3) CometExchange
Input [7]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]
Arguments: hashpartitioning(ss_item_sk#1, ss_ticket_number#4, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(4) CometSort
Input [7]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]
Arguments: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7], [ss_item_sk#1 ASC NULLS FIRST, ss_ticket_number#4 ASC NULLS FIRST]

(5) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns
Output [5]: [sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12, sr_returned_date_sk#13]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store_returns]
PushedFilters: [IsNotNull(sr_item_sk), IsNotNull(sr_ticket_number)]
ReadSchema: struct<sr_item_sk:int,sr_ticket_number:int,sr_return_amt:decimal(7,2),sr_net_loss:decimal(7,2)>

(6) CometFilter
Input [5]: [sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12, sr_returned_date_sk#13]
Condition : (isnotnull(sr_item_sk#9) AND isnotnull(sr_ticket_number#10))

(7) CometProject
Input [5]: [sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12, sr_returned_date_sk#13]
Arguments: [sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12], [sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12]

(8) CometExchange
Input [4]: [sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12]
Arguments: hashpartitioning(sr_item_sk#9, sr_ticket_number#10, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2]

(9) CometSort
Input [4]: [sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12]
Arguments: [sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12], [sr_item_sk#9 ASC NULLS FIRST, sr_ticket_number#10 ASC NULLS FIRST]

(10) CometSortMergeJoin
Left output [7]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]
Right output [4]: [sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12]
Arguments: [ss_item_sk#1, ss_ticket_number#4], [sr_item_sk#9, sr_ticket_number#10], LeftOuter

(11) CometProject
Input [11]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7, sr_item_sk#9, sr_ticket_number#10, sr_return_amt#11, sr_net_loss#12]
Arguments: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7, sr_return_amt#11, sr_net_loss#12], [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7, sr_return_amt#11, sr_net_loss#12]

(12) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#14, d_date#15]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-08-23), LessThanOrEqual(d_date,2000-09-22), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(13) CometFilter
Input [2]: [d_date_sk#14, d_date#15]
Condition : (((isnotnull(d_date#15) AND (d_date#15 >= 2000-08-23)) AND (d_date#15 <= 2000-09-22)) AND isnotnull(d_date_sk#14))

(14) CometProject
Input [2]: [d_date_sk#14, d_date#15]
Arguments: [d_date_sk#14], [d_date_sk#14]

(15) CometBroadcastExchange
Input [1]: [d_date_sk#14]
Arguments: [d_date_sk#14]

(16) CometBroadcastHashJoin
Left output [8]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7, sr_return_amt#11, sr_net_loss#12]
Right output [1]: [d_date_sk#14]
Arguments: [ss_sold_date_sk#7], [d_date_sk#14], Inner, BuildRight

(17) CometProject
Input [9]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7, sr_return_amt#11, sr_net_loss#12, d_date_sk#14]
Arguments: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12], [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12]

(18) CometScan [native_iceberg_compat] parquet spark_catalog.default.store
Output [2]: [s_store_sk#16, s_store_id#17]
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>

(19) CometFilter
Input [2]: [s_store_sk#16, s_store_id#17]
Condition : isnotnull(s_store_sk#16)

(20) CometProject
Input [2]: [s_store_sk#16, s_store_id#17]
Arguments: [s_store_sk#16, s_store_id#18], [s_store_sk#16, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_store_id#17, 16, true, false, true) AS s_store_id#18]

(21) CometBroadcastExchange
Input [2]: [s_store_sk#16, s_store_id#18]
Arguments: [s_store_sk#16, s_store_id#18]

(22) CometBroadcastHashJoin
Left output [7]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12]
Right output [2]: [s_store_sk#16, s_store_id#18]
Arguments: [ss_store_sk#2], [s_store_sk#16], Inner, BuildRight

(23) CometProject
Input [9]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_sk#16, s_store_id#18]
Arguments: [ss_item_sk#1, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#18], [ss_item_sk#1, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#18]

(24) CometScan [native_iceberg_compat] parquet spark_catalog.default.item
Output [2]: [i_item_sk#19, i_current_price#20]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_current_price), GreaterThan(i_current_price,50.00), IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_current_price:decimal(7,2)>

(25) CometFilter
Input [2]: [i_item_sk#19, i_current_price#20]
Condition : ((isnotnull(i_current_price#20) AND (i_current_price#20 > 50.00)) AND isnotnull(i_item_sk#19))

(26) CometProject
Input [2]: [i_item_sk#19, i_current_price#20]
Arguments: [i_item_sk#19], [i_item_sk#19]

(27) CometBroadcastExchange
Input [1]: [i_item_sk#19]
Arguments: [i_item_sk#19]

(28) CometBroadcastHashJoin
Left output [7]: [ss_item_sk#1, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#18]
Right output [1]: [i_item_sk#19]
Arguments: [ss_item_sk#1], [i_item_sk#19], Inner, BuildRight

(29) CometProject
Input [8]: [ss_item_sk#1, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#18, i_item_sk#19]
Arguments: [ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#18], [ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#18]

(30) CometScan [native_iceberg_compat] parquet spark_catalog.default.promotion
Output [2]: [p_promo_sk#21, p_channel_tv#22]
Batched: true
Location [not included in comparison]/{warehouse_dir}/promotion]
PushedFilters: [IsNotNull(p_promo_sk)]
ReadSchema: struct<p_promo_sk:int,p_channel_tv:string>

(31) CometFilter
Input [2]: [p_promo_sk#21, p_channel_tv#22]
Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, p_channel_tv#22, 1, true, false, true) = N) AND isnotnull(p_promo_sk#21))

(32) CometProject
Input [2]: [p_promo_sk#21, p_channel_tv#22]
Arguments: [p_promo_sk#21], [p_promo_sk#21]

(33) CometBroadcastExchange
Input [1]: [p_promo_sk#21]
Arguments: [p_promo_sk#21]

(34) CometBroadcastHashJoin
Left output [6]: [ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#18]
Right output [1]: [p_promo_sk#21]
Arguments: [ss_promo_sk#3], [p_promo_sk#21], Inner, BuildRight

(35) CometProject
Input [7]: [ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#18, p_promo_sk#21]
Arguments: [ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#18], [ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#18]

(36) CometHashAggregate
Input [5]: [ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#18]
Keys [1]: [s_store_id#18]
Functions [3]: [partial_sum(UnscaledValue(ss_ext_sales_price#5)), partial_sum(coalesce(cast(sr_return_amt#11 as decimal(12,2)), 0.00)), partial_sum((ss_net_profit#6 - coalesce(cast(sr_net_loss#12 as decimal(12,2)), 0.00)))]

(37) CometExchange
Input [6]: [s_store_id#18, sum#23, sum#24, isEmpty#25, sum#26, isEmpty#27]
Arguments: hashpartitioning(s_store_id#18, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3]

(38) CometHashAggregate
Input [6]: [s_store_id#18, sum#23, sum#24, isEmpty#25, sum#26, isEmpty#27]
Keys [1]: [s_store_id#18]
Functions [3]: [sum(UnscaledValue(ss_ext_sales_price#5)), sum(coalesce(cast(sr_return_amt#11 as decimal(12,2)), 0.00)), sum((ss_net_profit#6 - coalesce(cast(sr_net_loss#12 as decimal(12,2)), 0.00)))]

(39) CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales
Output [7]: [cs_catalog_page_sk#28, cs_item_sk#29, cs_promo_sk#30, cs_order_number#31, cs_ext_sales_price#32, cs_net_profit#33, cs_sold_date_sk#34]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#34), dynamicpruningexpression(cs_sold_date_sk#34 IN dynamicpruning#35)]
PushedFilters: [IsNotNull(cs_catalog_page_sk), IsNotNull(cs_item_sk), IsNotNull(cs_promo_sk)]
ReadSchema: struct<cs_catalog_page_sk:int,cs_item_sk:int,cs_promo_sk:int,cs_order_number:int,cs_ext_sales_price:decimal(7,2),cs_net_profit:decimal(7,2)>

(40) CometFilter
Input [7]: [cs_catalog_page_sk#28, cs_item_sk#29, cs_promo_sk#30, cs_order_number#31, cs_ext_sales_price#32, cs_net_profit#33, cs_sold_date_sk#34]
Condition : ((isnotnull(cs_catalog_page_sk#28) AND isnotnull(cs_item_sk#29)) AND isnotnull(cs_promo_sk#30))

(41) CometExchange
Input [7]: [cs_catalog_page_sk#28, cs_item_sk#29, cs_promo_sk#30, cs_order_number#31, cs_ext_sales_price#32, cs_net_profit#33, cs_sold_date_sk#34]
Arguments: hashpartitioning(cs_item_sk#29, cs_order_number#31, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4]

(42) CometSort
Input [7]: [cs_catalog_page_sk#28, cs_item_sk#29, cs_promo_sk#30, cs_order_number#31, cs_ext_sales_price#32, cs_net_profit#33, cs_sold_date_sk#34]
Arguments: [cs_catalog_page_sk#28, cs_item_sk#29, cs_promo_sk#30, cs_order_number#31, cs_ext_sales_price#32, cs_net_profit#33, cs_sold_date_sk#34], [cs_item_sk#29 ASC NULLS FIRST, cs_order_number#31 ASC NULLS FIRST]

(43) CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns
Output [5]: [cr_item_sk#36, cr_order_number#37, cr_return_amount#38, cr_net_loss#39, cr_returned_date_sk#40]
Batched: true
Location [not included in comparison]/{warehouse_dir}/catalog_returns]
PushedFilters: [IsNotNull(cr_item_sk), IsNotNull(cr_order_number)]
ReadSchema: struct<cr_item_sk:int,cr_order_number:int,cr_return_amount:decimal(7,2),cr_net_loss:decimal(7,2)>

(44) CometFilter
Input [5]: [cr_item_sk#36, cr_order_number#37, cr_return_amount#38, cr_net_loss#39, cr_returned_date_sk#40]
Condition : (isnotnull(cr_item_sk#36) AND isnotnull(cr_order_number#37))

(45) CometProject
Input [5]: [cr_item_sk#36, cr_order_number#37, cr_return_amount#38, cr_net_loss#39, cr_returned_date_sk#40]
Arguments: [cr_item_sk#36, cr_order_number#37, cr_return_amount#38, cr_net_loss#39], [cr_item_sk#36, cr_order_number#37, cr_return_amount#38, cr_net_loss#39]

(46) CometExchange
Input [4]: [cr_item_sk#36, cr_order_number#37, cr_return_amount#38, cr_net_loss#39]
Arguments: hashpartitioning(cr_item_sk#36, cr_order_number#37, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5]

(47) CometSort
Input [4]: [cr_item_sk#36, cr_order_number#37, cr_return_amount#38, cr_net_loss#39]
Arguments: [cr_item_sk#36, cr_order_number#37, cr_return_amount#38, cr_net_loss#39], [cr_item_sk#36 ASC NULLS FIRST, cr_order_number#37 ASC NULLS FIRST]

(48) CometSortMergeJoin
Left output [7]: [cs_catalog_page_sk#28, cs_item_sk#29, cs_promo_sk#30, cs_order_number#31, cs_ext_sales_price#32, cs_net_profit#33, cs_sold_date_sk#34]
Right output [4]: [cr_item_sk#36, cr_order_number#37, cr_return_amount#38, cr_net_loss#39]
Arguments: [cs_item_sk#29, cs_order_number#31], [cr_item_sk#36, cr_order_number#37], LeftOuter

(49) CometProject
Input [11]: [cs_catalog_page_sk#28, cs_item_sk#29, cs_promo_sk#30, cs_order_number#31, cs_ext_sales_price#32, cs_net_profit#33, cs_sold_date_sk#34, cr_item_sk#36, cr_order_number#37, cr_return_amount#38, cr_net_loss#39]
Arguments: [cs_catalog_page_sk#28, cs_item_sk#29, cs_promo_sk#30, cs_ext_sales_price#32, cs_net_profit#33, cs_sold_date_sk#34, cr_return_amount#38, cr_net_loss#39], [cs_catalog_page_sk#28, cs_item_sk#29, cs_promo_sk#30, cs_ext_sales_price#32, cs_net_profit#33, cs_sold_date_sk#34, cr_return_amount#38, cr_net_loss#39]

(50) ReusedExchange [Reuses operator id: 15]
Output [1]: [d_date_sk#41]

(51) CometBroadcastHashJoin
Left output [8]: [cs_catalog_page_sk#28, cs_item_sk#29, cs_promo_sk#30, cs_ext_sales_price#32, cs_net_profit#33, cs_sold_date_sk#34, cr_return_amount#38, cr_net_loss#39]
Right output [1]: [d_date_sk#41]
Arguments: [cs_sold_date_sk#34], [d_date_sk#41], Inner, BuildRight

(52) CometProject
Input [9]: [cs_catalog_page_sk#28, cs_item_sk#29, cs_promo_sk#30, cs_ext_sales_price#32, cs_net_profit#33, cs_sold_date_sk#34, cr_return_amount#38, cr_net_loss#39, d_date_sk#41]
Arguments: [cs_catalog_page_sk#28, cs_item_sk#29, cs_promo_sk#30, cs_ext_sales_price#32, cs_net_profit#33, cr_return_amount#38, cr_net_loss#39], [cs_catalog_page_sk#28, cs_item_sk#29, cs_promo_sk#30, cs_ext_sales_price#32, cs_net_profit#33, cr_return_amount#38, cr_net_loss#39]

(53) CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_page
Output [2]: [cp_catalog_page_sk#42, cp_catalog_page_id#43]
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>

(54) CometFilter
Input [2]: [cp_catalog_page_sk#42, cp_catalog_page_id#43]
Condition : isnotnull(cp_catalog_page_sk#42)

(55) CometProject
Input [2]: [cp_catalog_page_sk#42, cp_catalog_page_id#43]
Arguments: [cp_catalog_page_sk#42, cp_catalog_page_id#44], [cp_catalog_page_sk#42, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, cp_catalog_page_id#43, 16, true, false, true) AS cp_catalog_page_id#44]

(56) CometBroadcastExchange
Input [2]: [cp_catalog_page_sk#42, cp_catalog_page_id#44]
Arguments: [cp_catalog_page_sk#42, cp_catalog_page_id#44]

(57) CometBroadcastHashJoin
Left output [7]: [cs_catalog_page_sk#28, cs_item_sk#29, cs_promo_sk#30, cs_ext_sales_price#32, cs_net_profit#33, cr_return_amount#38, cr_net_loss#39]
Right output [2]: [cp_catalog_page_sk#42, cp_catalog_page_id#44]
Arguments: [cs_catalog_page_sk#28], [cp_catalog_page_sk#42], Inner, BuildRight

(58) CometProject
Input [9]: [cs_catalog_page_sk#28, cs_item_sk#29, cs_promo_sk#30, cs_ext_sales_price#32, cs_net_profit#33, cr_return_amount#38, cr_net_loss#39, cp_catalog_page_sk#42, cp_catalog_page_id#44]
Arguments: [cs_item_sk#29, cs_promo_sk#30, cs_ext_sales_price#32, cs_net_profit#33, cr_return_amount#38, cr_net_loss#39, cp_catalog_page_id#44], [cs_item_sk#29, cs_promo_sk#30, cs_ext_sales_price#32, cs_net_profit#33, cr_return_amount#38, cr_net_loss#39, cp_catalog_page_id#44]

(59) ReusedExchange [Reuses operator id: 27]
Output [1]: [i_item_sk#45]

(60) CometBroadcastHashJoin
Left output [7]: [cs_item_sk#29, cs_promo_sk#30, cs_ext_sales_price#32, cs_net_profit#33, cr_return_amount#38, cr_net_loss#39, cp_catalog_page_id#44]
Right output [1]: [i_item_sk#45]
Arguments: [cs_item_sk#29], [i_item_sk#45], Inner, BuildRight

(61) CometProject
Input [8]: [cs_item_sk#29, cs_promo_sk#30, cs_ext_sales_price#32, cs_net_profit#33, cr_return_amount#38, cr_net_loss#39, cp_catalog_page_id#44, i_item_sk#45]
Arguments: [cs_promo_sk#30, cs_ext_sales_price#32, cs_net_profit#33, cr_return_amount#38, cr_net_loss#39, cp_catalog_page_id#44], [cs_promo_sk#30, cs_ext_sales_price#32, cs_net_profit#33, cr_return_amount#38, cr_net_loss#39, cp_catalog_page_id#44]

(62) ReusedExchange [Reuses operator id: 33]
Output [1]: [p_promo_sk#46]

(63) CometBroadcastHashJoin
Left output [6]: [cs_promo_sk#30, cs_ext_sales_price#32, cs_net_profit#33, cr_return_amount#38, cr_net_loss#39, cp_catalog_page_id#44]
Right output [1]: [p_promo_sk#46]
Arguments: [cs_promo_sk#30], [p_promo_sk#46], Inner, BuildRight

(64) CometProject
Input [7]: [cs_promo_sk#30, cs_ext_sales_price#32, cs_net_profit#33, cr_return_amount#38, cr_net_loss#39, cp_catalog_page_id#44, p_promo_sk#46]
Arguments: [cs_ext_sales_price#32, cs_net_profit#33, cr_return_amount#38, cr_net_loss#39, cp_catalog_page_id#44], [cs_ext_sales_price#32, cs_net_profit#33, cr_return_amount#38, cr_net_loss#39, cp_catalog_page_id#44]

(65) CometHashAggregate
Input [5]: [cs_ext_sales_price#32, cs_net_profit#33, cr_return_amount#38, cr_net_loss#39, cp_catalog_page_id#44]
Keys [1]: [cp_catalog_page_id#44]
Functions [3]: [partial_sum(UnscaledValue(cs_ext_sales_price#32)), partial_sum(coalesce(cast(cr_return_amount#38 as decimal(12,2)), 0.00)), partial_sum((cs_net_profit#33 - coalesce(cast(cr_net_loss#39 as decimal(12,2)), 0.00)))]

(66) CometExchange
Input [6]: [cp_catalog_page_id#44, sum#47, sum#48, isEmpty#49, sum#50, isEmpty#51]
Arguments: hashpartitioning(cp_catalog_page_id#44, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6]

(67) CometHashAggregate
Input [6]: [cp_catalog_page_id#44, sum#47, sum#48, isEmpty#49, sum#50, isEmpty#51]
Keys [1]: [cp_catalog_page_id#44]
Functions [3]: [sum(UnscaledValue(cs_ext_sales_price#32)), sum(coalesce(cast(cr_return_amount#38 as decimal(12,2)), 0.00)), sum((cs_net_profit#33 - coalesce(cast(cr_net_loss#39 as decimal(12,2)), 0.00)))]

(68) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales
Output [7]: [ws_item_sk#52, ws_web_site_sk#53, ws_promo_sk#54, ws_order_number#55, ws_ext_sales_price#56, ws_net_profit#57, ws_sold_date_sk#58]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#58), dynamicpruningexpression(ws_sold_date_sk#58 IN dynamicpruning#59)]
PushedFilters: [IsNotNull(ws_web_site_sk), IsNotNull(ws_item_sk), IsNotNull(ws_promo_sk)]
ReadSchema: struct<ws_item_sk:int,ws_web_site_sk:int,ws_promo_sk:int,ws_order_number:int,ws_ext_sales_price:decimal(7,2),ws_net_profit:decimal(7,2)>

(69) CometFilter
Input [7]: [ws_item_sk#52, ws_web_site_sk#53, ws_promo_sk#54, ws_order_number#55, ws_ext_sales_price#56, ws_net_profit#57, ws_sold_date_sk#58]
Condition : ((isnotnull(ws_web_site_sk#53) AND isnotnull(ws_item_sk#52)) AND isnotnull(ws_promo_sk#54))

(70) CometExchange
Input [7]: [ws_item_sk#52, ws_web_site_sk#53, ws_promo_sk#54, ws_order_number#55, ws_ext_sales_price#56, ws_net_profit#57, ws_sold_date_sk#58]
Arguments: hashpartitioning(ws_item_sk#52, ws_order_number#55, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7]

(71) CometSort
Input [7]: [ws_item_sk#52, ws_web_site_sk#53, ws_promo_sk#54, ws_order_number#55, ws_ext_sales_price#56, ws_net_profit#57, ws_sold_date_sk#58]
Arguments: [ws_item_sk#52, ws_web_site_sk#53, ws_promo_sk#54, ws_order_number#55, ws_ext_sales_price#56, ws_net_profit#57, ws_sold_date_sk#58], [ws_item_sk#52 ASC NULLS FIRST, ws_order_number#55 ASC NULLS FIRST]

(72) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns
Output [5]: [wr_item_sk#60, wr_order_number#61, wr_return_amt#62, wr_net_loss#63, wr_returned_date_sk#64]
Batched: true
Location [not included in comparison]/{warehouse_dir}/web_returns]
PushedFilters: [IsNotNull(wr_item_sk), IsNotNull(wr_order_number)]
ReadSchema: struct<wr_item_sk:int,wr_order_number:int,wr_return_amt:decimal(7,2),wr_net_loss:decimal(7,2)>

(73) CometFilter
Input [5]: [wr_item_sk#60, wr_order_number#61, wr_return_amt#62, wr_net_loss#63, wr_returned_date_sk#64]
Condition : (isnotnull(wr_item_sk#60) AND isnotnull(wr_order_number#61))

(74) CometProject
Input [5]: [wr_item_sk#60, wr_order_number#61, wr_return_amt#62, wr_net_loss#63, wr_returned_date_sk#64]
Arguments: [wr_item_sk#60, wr_order_number#61, wr_return_amt#62, wr_net_loss#63], [wr_item_sk#60, wr_order_number#61, wr_return_amt#62, wr_net_loss#63]

(75) CometExchange
Input [4]: [wr_item_sk#60, wr_order_number#61, wr_return_amt#62, wr_net_loss#63]
Arguments: hashpartitioning(wr_item_sk#60, wr_order_number#61, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8]

(76) CometSort
Input [4]: [wr_item_sk#60, wr_order_number#61, wr_return_amt#62, wr_net_loss#63]
Arguments: [wr_item_sk#60, wr_order_number#61, wr_return_amt#62, wr_net_loss#63], [wr_item_sk#60 ASC NULLS FIRST, wr_order_number#61 ASC NULLS FIRST]

(77) CometSortMergeJoin
Left output [7]: [ws_item_sk#52, ws_web_site_sk#53, ws_promo_sk#54, ws_order_number#55, ws_ext_sales_price#56, ws_net_profit#57, ws_sold_date_sk#58]
Right output [4]: [wr_item_sk#60, wr_order_number#61, wr_return_amt#62, wr_net_loss#63]
Arguments: [ws_item_sk#52, ws_order_number#55], [wr_item_sk#60, wr_order_number#61], LeftOuter

(78) CometProject
Input [11]: [ws_item_sk#52, ws_web_site_sk#53, ws_promo_sk#54, ws_order_number#55, ws_ext_sales_price#56, ws_net_profit#57, ws_sold_date_sk#58, wr_item_sk#60, wr_order_number#61, wr_return_amt#62, wr_net_loss#63]
Arguments: [ws_item_sk#52, ws_web_site_sk#53, ws_promo_sk#54, ws_ext_sales_price#56, ws_net_profit#57, ws_sold_date_sk#58, wr_return_amt#62, wr_net_loss#63], [ws_item_sk#52, ws_web_site_sk#53, ws_promo_sk#54, ws_ext_sales_price#56, ws_net_profit#57, ws_sold_date_sk#58, wr_return_amt#62, wr_net_loss#63]

(79) ReusedExchange [Reuses operator id: 15]
Output [1]: [d_date_sk#65]

(80) CometBroadcastHashJoin
Left output [8]: [ws_item_sk#52, ws_web_site_sk#53, ws_promo_sk#54, ws_ext_sales_price#56, ws_net_profit#57, ws_sold_date_sk#58, wr_return_amt#62, wr_net_loss#63]
Right output [1]: [d_date_sk#65]
Arguments: [ws_sold_date_sk#58], [d_date_sk#65], Inner, BuildRight

(81) CometProject
Input [9]: [ws_item_sk#52, ws_web_site_sk#53, ws_promo_sk#54, ws_ext_sales_price#56, ws_net_profit#57, ws_sold_date_sk#58, wr_return_amt#62, wr_net_loss#63, d_date_sk#65]
Arguments: [ws_item_sk#52, ws_web_site_sk#53, ws_promo_sk#54, ws_ext_sales_price#56, ws_net_profit#57, wr_return_amt#62, wr_net_loss#63], [ws_item_sk#52, ws_web_site_sk#53, ws_promo_sk#54, ws_ext_sales_price#56, ws_net_profit#57, wr_return_amt#62, wr_net_loss#63]

(82) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_site
Output [2]: [web_site_sk#66, web_site_id#67]
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>

(83) CometFilter
Input [2]: [web_site_sk#66, web_site_id#67]
Condition : isnotnull(web_site_sk#66)

(84) CometProject
Input [2]: [web_site_sk#66, web_site_id#67]
Arguments: [web_site_sk#66, web_site_id#68], [web_site_sk#66, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, web_site_id#67, 16, true, false, true) AS web_site_id#68]

(85) CometBroadcastExchange
Input [2]: [web_site_sk#66, web_site_id#68]
Arguments: [web_site_sk#66, web_site_id#68]

(86) CometBroadcastHashJoin
Left output [7]: [ws_item_sk#52, ws_web_site_sk#53, ws_promo_sk#54, ws_ext_sales_price#56, ws_net_profit#57, wr_return_amt#62, wr_net_loss#63]
Right output [2]: [web_site_sk#66, web_site_id#68]
Arguments: [ws_web_site_sk#53], [web_site_sk#66], Inner, BuildRight

(87) CometProject
Input [9]: [ws_item_sk#52, ws_web_site_sk#53, ws_promo_sk#54, ws_ext_sales_price#56, ws_net_profit#57, wr_return_amt#62, wr_net_loss#63, web_site_sk#66, web_site_id#68]
Arguments: [ws_item_sk#52, ws_promo_sk#54, ws_ext_sales_price#56, ws_net_profit#57, wr_return_amt#62, wr_net_loss#63, web_site_id#68], [ws_item_sk#52, ws_promo_sk#54, ws_ext_sales_price#56, ws_net_profit#57, wr_return_amt#62, wr_net_loss#63, web_site_id#68]

(88) ReusedExchange [Reuses operator id: 27]
Output [1]: [i_item_sk#69]

(89) CometBroadcastHashJoin
Left output [7]: [ws_item_sk#52, ws_promo_sk#54, ws_ext_sales_price#56, ws_net_profit#57, wr_return_amt#62, wr_net_loss#63, web_site_id#68]
Right output [1]: [i_item_sk#69]
Arguments: [ws_item_sk#52], [i_item_sk#69], Inner, BuildRight

(90) CometProject
Input [8]: [ws_item_sk#52, ws_promo_sk#54, ws_ext_sales_price#56, ws_net_profit#57, wr_return_amt#62, wr_net_loss#63, web_site_id#68, i_item_sk#69]
Arguments: [ws_promo_sk#54, ws_ext_sales_price#56, ws_net_profit#57, wr_return_amt#62, wr_net_loss#63, web_site_id#68], [ws_promo_sk#54, ws_ext_sales_price#56, ws_net_profit#57, wr_return_amt#62, wr_net_loss#63, web_site_id#68]

(91) ReusedExchange [Reuses operator id: 33]
Output [1]: [p_promo_sk#70]

(92) CometBroadcastHashJoin
Left output [6]: [ws_promo_sk#54, ws_ext_sales_price#56, ws_net_profit#57, wr_return_amt#62, wr_net_loss#63, web_site_id#68]
Right output [1]: [p_promo_sk#70]
Arguments: [ws_promo_sk#54], [p_promo_sk#70], Inner, BuildRight

(93) CometProject
Input [7]: [ws_promo_sk#54, ws_ext_sales_price#56, ws_net_profit#57, wr_return_amt#62, wr_net_loss#63, web_site_id#68, p_promo_sk#70]
Arguments: [ws_ext_sales_price#56, ws_net_profit#57, wr_return_amt#62, wr_net_loss#63, web_site_id#68], [ws_ext_sales_price#56, ws_net_profit#57, wr_return_amt#62, wr_net_loss#63, web_site_id#68]

(94) CometHashAggregate
Input [5]: [ws_ext_sales_price#56, ws_net_profit#57, wr_return_amt#62, wr_net_loss#63, web_site_id#68]
Keys [1]: [web_site_id#68]
Functions [3]: [partial_sum(UnscaledValue(ws_ext_sales_price#56)), partial_sum(coalesce(cast(wr_return_amt#62 as decimal(12,2)), 0.00)), partial_sum((ws_net_profit#57 - coalesce(cast(wr_net_loss#63 as decimal(12,2)), 0.00)))]

(95) CometExchange
Input [6]: [web_site_id#68, sum#71, sum#72, isEmpty#73, sum#74, isEmpty#75]
Arguments: hashpartitioning(web_site_id#68, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9]

(96) CometHashAggregate
Input [6]: [web_site_id#68, sum#71, sum#72, isEmpty#73, sum#74, isEmpty#75]
Keys [1]: [web_site_id#68]
Functions [3]: [sum(UnscaledValue(ws_ext_sales_price#56)), sum(coalesce(cast(wr_return_amt#62 as decimal(12,2)), 0.00)), sum((ws_net_profit#57 - coalesce(cast(wr_net_loss#63 as decimal(12,2)), 0.00)))]

(97) CometUnion
Child 0 Input [5]: [sales#76, returns#77, profit#78, channel#79, id#80]
Child 1 Input [5]: [sales#81, returns#82, profit#83, channel#84, id#85]
Child 2 Input [5]: [sales#86, returns#87, profit#88, channel#89, id#90]

(98) CometExpand
Input [5]: [sales#76, returns#77, profit#78, channel#79, id#80]
Arguments: [[sales#76, returns#77, profit#78, channel#79, id#80, 0], [sales#76, returns#77, profit#78, channel#79, null, 1], [sales#76, returns#77, profit#78, null, null, 3]], [sales#76, returns#77, profit#78, channel#91, id#92, spark_grouping_id#93]

(99) CometHashAggregate
Input [6]: [sales#76, returns#77, profit#78, channel#91, id#92, spark_grouping_id#93]
Keys [3]: [channel#91, id#92, spark_grouping_id#93]
Functions [3]: [partial_sum(sales#76), partial_sum(returns#77), partial_sum(profit#78)]

(100) CometExchange
Input [9]: [channel#91, id#92, spark_grouping_id#93, sum#94, isEmpty#95, sum#96, isEmpty#97, sum#98, isEmpty#99]
Arguments: hashpartitioning(channel#91, id#92, spark_grouping_id#93, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10]

(101) CometHashAggregate
Input [9]: [channel#91, id#92, spark_grouping_id#93, sum#94, isEmpty#95, sum#96, isEmpty#97, sum#98, isEmpty#99]
Keys [3]: [channel#91, id#92, spark_grouping_id#93]
Functions [3]: [sum(sales#76), sum(returns#77), sum(profit#78)]

(102) CometTakeOrderedAndProject
Input [5]: [channel#91, id#92, sales#100, returns#101, profit#102]
Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#91 ASC NULLS FIRST,id#92 ASC NULLS FIRST], output=[channel#91,id#92,sales#100,returns#101,profit#102]), [channel#91, id#92, sales#100, returns#101, profit#102], 100, 0, [channel#91 ASC NULLS FIRST, id#92 ASC NULLS FIRST], [channel#91, id#92, sales#100, returns#101, profit#102]

(103) CometColumnarToRow [codegen id : 1]
Input [5]: [channel#91, id#92, sales#100, returns#101, profit#102]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#7 IN dynamicpruning#8
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#14, d_date#15]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-08-23), LessThanOrEqual(d_date,2000-09-22), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(105) CometFilter
Input [2]: [d_date_sk#14, d_date#15]
Condition : (((isnotnull(d_date#15) AND (d_date#15 >= 2000-08-23)) AND (d_date#15 <= 2000-09-22)) AND isnotnull(d_date_sk#14))

(106) CometProject
Input [2]: [d_date_sk#14, d_date#15]
Arguments: [d_date_sk#14], [d_date_sk#14]

(107) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#14]

(108) BroadcastExchange
Input [1]: [d_date_sk#14]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11]

Subquery:2 Hosting operator id = 39 Hosting Expression = cs_sold_date_sk#34 IN dynamicpruning#8

Subquery:3 Hosting operator id = 68 Hosting Expression = ws_sold_date_sk#58 IN dynamicpruning#8


