== Physical Plan ==
TakeOrderedAndProject (109)
+- * HashAggregate (108)
   +- * CometColumnarToRow (107)
      +- CometColumnarExchange (106)
         +- * HashAggregate (105)
            +- * Expand (104)
               +- Union (103)
                  :- * HashAggregate (40)
                  :  +- * CometColumnarToRow (39)
                  :     +- CometColumnarExchange (38)
                  :        +- * HashAggregate (37)
                  :           +- * CometColumnarToRow (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 parquet spark_catalog.default.store_sales (1)
                  :                    :     :     :     :     +- CometSort (9)
                  :                    :     :     :     :        +- CometExchange (8)
                  :                    :     :     :     :           +- CometProject (7)
                  :                    :     :     :     :              +- CometFilter (6)
                  :                    :     :     :     :                 +- CometScan parquet spark_catalog.default.store_returns (5)
                  :                    :     :     :     +- CometBroadcastExchange (15)
                  :                    :     :     :        +- CometProject (14)
                  :                    :     :     :           +- CometFilter (13)
                  :                    :     :     :              +- CometScan parquet spark_catalog.default.date_dim (12)
                  :                    :     :     +- CometBroadcastExchange (21)
                  :                    :     :        +- CometProject (20)
                  :                    :     :           +- CometFilter (19)
                  :                    :     :              +- CometScan parquet spark_catalog.default.store (18)
                  :                    :     +- CometBroadcastExchange (27)
                  :                    :        +- CometProject (26)
                  :                    :           +- CometFilter (25)
                  :                    :              +- CometScan parquet spark_catalog.default.item (24)
                  :                    +- CometBroadcastExchange (33)
                  :                       +- CometProject (32)
                  :                          +- CometFilter (31)
                  :                             +- CometScan parquet spark_catalog.default.promotion (30)
                  :- * HashAggregate (71)
                  :  +- * CometColumnarToRow (70)
                  :     +- CometColumnarExchange (69)
                  :        +- * HashAggregate (68)
                  :           +- * CometColumnarToRow (67)
                  :              +- CometProject (66)
                  :                 +- CometBroadcastHashJoin (65)
                  :                    :- CometProject (63)
                  :                    :  +- CometBroadcastHashJoin (62)
                  :                    :     :- CometProject (60)
                  :                    :     :  +- CometBroadcastHashJoin (59)
                  :                    :     :     :- CometProject (54)
                  :                    :     :     :  +- CometBroadcastHashJoin (53)
                  :                    :     :     :     :- CometProject (51)
                  :                    :     :     :     :  +- CometSortMergeJoin (50)
                  :                    :     :     :     :     :- CometSort (44)
                  :                    :     :     :     :     :  +- CometExchange (43)
                  :                    :     :     :     :     :     +- CometFilter (42)
                  :                    :     :     :     :     :        +- CometScan parquet spark_catalog.default.catalog_sales (41)
                  :                    :     :     :     :     +- CometSort (49)
                  :                    :     :     :     :        +- CometExchange (48)
                  :                    :     :     :     :           +- CometProject (47)
                  :                    :     :     :     :              +- CometFilter (46)
                  :                    :     :     :     :                 +- CometScan parquet spark_catalog.default.catalog_returns (45)
                  :                    :     :     :     +- ReusedExchange (52)
                  :                    :     :     +- CometBroadcastExchange (58)
                  :                    :     :        +- CometProject (57)
                  :                    :     :           +- CometFilter (56)
                  :                    :     :              +- CometScan parquet spark_catalog.default.catalog_page (55)
                  :                    :     +- ReusedExchange (61)
                  :                    +- ReusedExchange (64)
                  +- * HashAggregate (102)
                     +- * CometColumnarToRow (101)
                        +- CometColumnarExchange (100)
                           +- * HashAggregate (99)
                              +- * CometColumnarToRow (98)
                                 +- CometProject (97)
                                    +- CometBroadcastHashJoin (96)
                                       :- CometProject (94)
                                       :  +- CometBroadcastHashJoin (93)
                                       :     :- CometProject (91)
                                       :     :  +- CometBroadcastHashJoin (90)
                                       :     :     :- CometProject (85)
                                       :     :     :  +- CometBroadcastHashJoin (84)
                                       :     :     :     :- CometProject (82)
                                       :     :     :     :  +- CometSortMergeJoin (81)
                                       :     :     :     :     :- CometSort (75)
                                       :     :     :     :     :  +- CometExchange (74)
                                       :     :     :     :     :     +- CometFilter (73)
                                       :     :     :     :     :        +- CometScan parquet spark_catalog.default.web_sales (72)
                                       :     :     :     :     +- CometSort (80)
                                       :     :     :     :        +- CometExchange (79)
                                       :     :     :     :           +- CometProject (78)
                                       :     :     :     :              +- CometFilter (77)
                                       :     :     :     :                 +- CometScan parquet spark_catalog.default.web_returns (76)
                                       :     :     :     +- ReusedExchange (83)
                                       :     :     +- CometBroadcastExchange (89)
                                       :     :        +- CometProject (88)
                                       :     :           +- CometFilter (87)
                                       :     :              +- CometScan parquet spark_catalog.default.web_site (86)
                                       :     +- ReusedExchange (92)
                                       +- ReusedExchange (95)


(1) CometScan 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 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 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 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 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 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) CometColumnarToRow [codegen id : 1]
Input [5]: [ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#11, sr_net_loss#12, s_store_id#18]

(37) HashAggregate [codegen id : 1]
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)))]
Aggregate Attributes [5]: [sum#23, sum#24, isEmpty#25, sum#26, isEmpty#27]
Results [6]: [s_store_id#18, sum#28, sum#29, isEmpty#30, sum#31, isEmpty#32]

(38) CometColumnarExchange
Input [6]: [s_store_id#18, sum#28, sum#29, isEmpty#30, sum#31, isEmpty#32]
Arguments: hashpartitioning(s_store_id#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3]

(39) CometColumnarToRow [codegen id : 2]
Input [6]: [s_store_id#18, sum#28, sum#29, isEmpty#30, sum#31, isEmpty#32]

(40) HashAggregate [codegen id : 2]
Input [6]: [s_store_id#18, sum#28, sum#29, isEmpty#30, sum#31, isEmpty#32]
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)))]
Aggregate Attributes [3]: [sum(UnscaledValue(ss_ext_sales_price#5))#33, sum(coalesce(cast(sr_return_amt#11 as decimal(12,2)), 0.00))#34, sum((ss_net_profit#6 - coalesce(cast(sr_net_loss#12 as decimal(12,2)), 0.00)))#35]
Results [5]: [MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#5))#33,17,2) AS sales#36, sum(coalesce(cast(sr_return_amt#11 as decimal(12,2)), 0.00))#34 AS returns#37, sum((ss_net_profit#6 - coalesce(cast(sr_net_loss#12 as decimal(12,2)), 0.00)))#35 AS profit#38, store channel AS channel#39, concat(store, s_store_id#18) AS id#40]

(41) CometScan parquet spark_catalog.default.catalog_sales
Output [7]: [cs_catalog_page_sk#41, cs_item_sk#42, cs_promo_sk#43, cs_order_number#44, cs_ext_sales_price#45, cs_net_profit#46, cs_sold_date_sk#47]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#47), dynamicpruningexpression(cs_sold_date_sk#47 IN dynamicpruning#48)]
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)>

(42) CometFilter
Input [7]: [cs_catalog_page_sk#41, cs_item_sk#42, cs_promo_sk#43, cs_order_number#44, cs_ext_sales_price#45, cs_net_profit#46, cs_sold_date_sk#47]
Condition : ((isnotnull(cs_catalog_page_sk#41) AND isnotnull(cs_item_sk#42)) AND isnotnull(cs_promo_sk#43))

(43) CometExchange
Input [7]: [cs_catalog_page_sk#41, cs_item_sk#42, cs_promo_sk#43, cs_order_number#44, cs_ext_sales_price#45, cs_net_profit#46, cs_sold_date_sk#47]
Arguments: hashpartitioning(cs_item_sk#42, cs_order_number#44, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4]

(44) CometSort
Input [7]: [cs_catalog_page_sk#41, cs_item_sk#42, cs_promo_sk#43, cs_order_number#44, cs_ext_sales_price#45, cs_net_profit#46, cs_sold_date_sk#47]
Arguments: [cs_catalog_page_sk#41, cs_item_sk#42, cs_promo_sk#43, cs_order_number#44, cs_ext_sales_price#45, cs_net_profit#46, cs_sold_date_sk#47], [cs_item_sk#42 ASC NULLS FIRST, cs_order_number#44 ASC NULLS FIRST]

(45) CometScan parquet spark_catalog.default.catalog_returns
Output [5]: [cr_item_sk#49, cr_order_number#50, cr_return_amount#51, cr_net_loss#52, cr_returned_date_sk#53]
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)>

(46) CometFilter
Input [5]: [cr_item_sk#49, cr_order_number#50, cr_return_amount#51, cr_net_loss#52, cr_returned_date_sk#53]
Condition : (isnotnull(cr_item_sk#49) AND isnotnull(cr_order_number#50))

(47) CometProject
Input [5]: [cr_item_sk#49, cr_order_number#50, cr_return_amount#51, cr_net_loss#52, cr_returned_date_sk#53]
Arguments: [cr_item_sk#49, cr_order_number#50, cr_return_amount#51, cr_net_loss#52], [cr_item_sk#49, cr_order_number#50, cr_return_amount#51, cr_net_loss#52]

(48) CometExchange
Input [4]: [cr_item_sk#49, cr_order_number#50, cr_return_amount#51, cr_net_loss#52]
Arguments: hashpartitioning(cr_item_sk#49, cr_order_number#50, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5]

(49) CometSort
Input [4]: [cr_item_sk#49, cr_order_number#50, cr_return_amount#51, cr_net_loss#52]
Arguments: [cr_item_sk#49, cr_order_number#50, cr_return_amount#51, cr_net_loss#52], [cr_item_sk#49 ASC NULLS FIRST, cr_order_number#50 ASC NULLS FIRST]

(50) CometSortMergeJoin
Left output [7]: [cs_catalog_page_sk#41, cs_item_sk#42, cs_promo_sk#43, cs_order_number#44, cs_ext_sales_price#45, cs_net_profit#46, cs_sold_date_sk#47]
Right output [4]: [cr_item_sk#49, cr_order_number#50, cr_return_amount#51, cr_net_loss#52]
Arguments: [cs_item_sk#42, cs_order_number#44], [cr_item_sk#49, cr_order_number#50], LeftOuter

(51) CometProject
Input [11]: [cs_catalog_page_sk#41, cs_item_sk#42, cs_promo_sk#43, cs_order_number#44, cs_ext_sales_price#45, cs_net_profit#46, cs_sold_date_sk#47, cr_item_sk#49, cr_order_number#50, cr_return_amount#51, cr_net_loss#52]
Arguments: [cs_catalog_page_sk#41, cs_item_sk#42, cs_promo_sk#43, cs_ext_sales_price#45, cs_net_profit#46, cs_sold_date_sk#47, cr_return_amount#51, cr_net_loss#52], [cs_catalog_page_sk#41, cs_item_sk#42, cs_promo_sk#43, cs_ext_sales_price#45, cs_net_profit#46, cs_sold_date_sk#47, cr_return_amount#51, cr_net_loss#52]

(52) ReusedExchange [Reuses operator id: 15]
Output [1]: [d_date_sk#54]

(53) CometBroadcastHashJoin
Left output [8]: [cs_catalog_page_sk#41, cs_item_sk#42, cs_promo_sk#43, cs_ext_sales_price#45, cs_net_profit#46, cs_sold_date_sk#47, cr_return_amount#51, cr_net_loss#52]
Right output [1]: [d_date_sk#54]
Arguments: [cs_sold_date_sk#47], [d_date_sk#54], Inner, BuildRight

(54) CometProject
Input [9]: [cs_catalog_page_sk#41, cs_item_sk#42, cs_promo_sk#43, cs_ext_sales_price#45, cs_net_profit#46, cs_sold_date_sk#47, cr_return_amount#51, cr_net_loss#52, d_date_sk#54]
Arguments: [cs_catalog_page_sk#41, cs_item_sk#42, cs_promo_sk#43, cs_ext_sales_price#45, cs_net_profit#46, cr_return_amount#51, cr_net_loss#52], [cs_catalog_page_sk#41, cs_item_sk#42, cs_promo_sk#43, cs_ext_sales_price#45, cs_net_profit#46, cr_return_amount#51, cr_net_loss#52]

(55) CometScan parquet spark_catalog.default.catalog_page
Output [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56]
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>

(56) CometFilter
Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56]
Condition : isnotnull(cp_catalog_page_sk#55)

(57) CometProject
Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56]
Arguments: [cp_catalog_page_sk#55, cp_catalog_page_id#57], [cp_catalog_page_sk#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, cp_catalog_page_id#56, 16, true, false, true) AS cp_catalog_page_id#57]

(58) CometBroadcastExchange
Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#57]
Arguments: [cp_catalog_page_sk#55, cp_catalog_page_id#57]

(59) CometBroadcastHashJoin
Left output [7]: [cs_catalog_page_sk#41, cs_item_sk#42, cs_promo_sk#43, cs_ext_sales_price#45, cs_net_profit#46, cr_return_amount#51, cr_net_loss#52]
Right output [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#57]
Arguments: [cs_catalog_page_sk#41], [cp_catalog_page_sk#55], Inner, BuildRight

(60) CometProject
Input [9]: [cs_catalog_page_sk#41, cs_item_sk#42, cs_promo_sk#43, cs_ext_sales_price#45, cs_net_profit#46, cr_return_amount#51, cr_net_loss#52, cp_catalog_page_sk#55, cp_catalog_page_id#57]
Arguments: [cs_item_sk#42, cs_promo_sk#43, cs_ext_sales_price#45, cs_net_profit#46, cr_return_amount#51, cr_net_loss#52, cp_catalog_page_id#57], [cs_item_sk#42, cs_promo_sk#43, cs_ext_sales_price#45, cs_net_profit#46, cr_return_amount#51, cr_net_loss#52, cp_catalog_page_id#57]

(61) ReusedExchange [Reuses operator id: 27]
Output [1]: [i_item_sk#58]

(62) CometBroadcastHashJoin
Left output [7]: [cs_item_sk#42, cs_promo_sk#43, cs_ext_sales_price#45, cs_net_profit#46, cr_return_amount#51, cr_net_loss#52, cp_catalog_page_id#57]
Right output [1]: [i_item_sk#58]
Arguments: [cs_item_sk#42], [i_item_sk#58], Inner, BuildRight

(63) CometProject
Input [8]: [cs_item_sk#42, cs_promo_sk#43, cs_ext_sales_price#45, cs_net_profit#46, cr_return_amount#51, cr_net_loss#52, cp_catalog_page_id#57, i_item_sk#58]
Arguments: [cs_promo_sk#43, cs_ext_sales_price#45, cs_net_profit#46, cr_return_amount#51, cr_net_loss#52, cp_catalog_page_id#57], [cs_promo_sk#43, cs_ext_sales_price#45, cs_net_profit#46, cr_return_amount#51, cr_net_loss#52, cp_catalog_page_id#57]

(64) ReusedExchange [Reuses operator id: 33]
Output [1]: [p_promo_sk#59]

(65) CometBroadcastHashJoin
Left output [6]: [cs_promo_sk#43, cs_ext_sales_price#45, cs_net_profit#46, cr_return_amount#51, cr_net_loss#52, cp_catalog_page_id#57]
Right output [1]: [p_promo_sk#59]
Arguments: [cs_promo_sk#43], [p_promo_sk#59], Inner, BuildRight

(66) CometProject
Input [7]: [cs_promo_sk#43, cs_ext_sales_price#45, cs_net_profit#46, cr_return_amount#51, cr_net_loss#52, cp_catalog_page_id#57, p_promo_sk#59]
Arguments: [cs_ext_sales_price#45, cs_net_profit#46, cr_return_amount#51, cr_net_loss#52, cp_catalog_page_id#57], [cs_ext_sales_price#45, cs_net_profit#46, cr_return_amount#51, cr_net_loss#52, cp_catalog_page_id#57]

(67) CometColumnarToRow [codegen id : 3]
Input [5]: [cs_ext_sales_price#45, cs_net_profit#46, cr_return_amount#51, cr_net_loss#52, cp_catalog_page_id#57]

(68) HashAggregate [codegen id : 3]
Input [5]: [cs_ext_sales_price#45, cs_net_profit#46, cr_return_amount#51, cr_net_loss#52, cp_catalog_page_id#57]
Keys [1]: [cp_catalog_page_id#57]
Functions [3]: [partial_sum(UnscaledValue(cs_ext_sales_price#45)), partial_sum(coalesce(cast(cr_return_amount#51 as decimal(12,2)), 0.00)), partial_sum((cs_net_profit#46 - coalesce(cast(cr_net_loss#52 as decimal(12,2)), 0.00)))]
Aggregate Attributes [5]: [sum#60, sum#61, isEmpty#62, sum#63, isEmpty#64]
Results [6]: [cp_catalog_page_id#57, sum#65, sum#66, isEmpty#67, sum#68, isEmpty#69]

(69) CometColumnarExchange
Input [6]: [cp_catalog_page_id#57, sum#65, sum#66, isEmpty#67, sum#68, isEmpty#69]
Arguments: hashpartitioning(cp_catalog_page_id#57, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6]

(70) CometColumnarToRow [codegen id : 4]
Input [6]: [cp_catalog_page_id#57, sum#65, sum#66, isEmpty#67, sum#68, isEmpty#69]

(71) HashAggregate [codegen id : 4]
Input [6]: [cp_catalog_page_id#57, sum#65, sum#66, isEmpty#67, sum#68, isEmpty#69]
Keys [1]: [cp_catalog_page_id#57]
Functions [3]: [sum(UnscaledValue(cs_ext_sales_price#45)), sum(coalesce(cast(cr_return_amount#51 as decimal(12,2)), 0.00)), sum((cs_net_profit#46 - coalesce(cast(cr_net_loss#52 as decimal(12,2)), 0.00)))]
Aggregate Attributes [3]: [sum(UnscaledValue(cs_ext_sales_price#45))#70, sum(coalesce(cast(cr_return_amount#51 as decimal(12,2)), 0.00))#71, sum((cs_net_profit#46 - coalesce(cast(cr_net_loss#52 as decimal(12,2)), 0.00)))#72]
Results [5]: [MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#45))#70,17,2) AS sales#73, sum(coalesce(cast(cr_return_amount#51 as decimal(12,2)), 0.00))#71 AS returns#74, sum((cs_net_profit#46 - coalesce(cast(cr_net_loss#52 as decimal(12,2)), 0.00)))#72 AS profit#75, catalog channel AS channel#76, concat(catalog_page, cp_catalog_page_id#57) AS id#77]

(72) CometScan parquet spark_catalog.default.web_sales
Output [7]: [ws_item_sk#78, ws_web_site_sk#79, ws_promo_sk#80, ws_order_number#81, ws_ext_sales_price#82, ws_net_profit#83, ws_sold_date_sk#84]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#84), dynamicpruningexpression(ws_sold_date_sk#84 IN dynamicpruning#85)]
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)>

(73) CometFilter
Input [7]: [ws_item_sk#78, ws_web_site_sk#79, ws_promo_sk#80, ws_order_number#81, ws_ext_sales_price#82, ws_net_profit#83, ws_sold_date_sk#84]
Condition : ((isnotnull(ws_web_site_sk#79) AND isnotnull(ws_item_sk#78)) AND isnotnull(ws_promo_sk#80))

(74) CometExchange
Input [7]: [ws_item_sk#78, ws_web_site_sk#79, ws_promo_sk#80, ws_order_number#81, ws_ext_sales_price#82, ws_net_profit#83, ws_sold_date_sk#84]
Arguments: hashpartitioning(ws_item_sk#78, ws_order_number#81, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7]

(75) CometSort
Input [7]: [ws_item_sk#78, ws_web_site_sk#79, ws_promo_sk#80, ws_order_number#81, ws_ext_sales_price#82, ws_net_profit#83, ws_sold_date_sk#84]
Arguments: [ws_item_sk#78, ws_web_site_sk#79, ws_promo_sk#80, ws_order_number#81, ws_ext_sales_price#82, ws_net_profit#83, ws_sold_date_sk#84], [ws_item_sk#78 ASC NULLS FIRST, ws_order_number#81 ASC NULLS FIRST]

(76) CometScan parquet spark_catalog.default.web_returns
Output [5]: [wr_item_sk#86, wr_order_number#87, wr_return_amt#88, wr_net_loss#89, wr_returned_date_sk#90]
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)>

(77) CometFilter
Input [5]: [wr_item_sk#86, wr_order_number#87, wr_return_amt#88, wr_net_loss#89, wr_returned_date_sk#90]
Condition : (isnotnull(wr_item_sk#86) AND isnotnull(wr_order_number#87))

(78) CometProject
Input [5]: [wr_item_sk#86, wr_order_number#87, wr_return_amt#88, wr_net_loss#89, wr_returned_date_sk#90]
Arguments: [wr_item_sk#86, wr_order_number#87, wr_return_amt#88, wr_net_loss#89], [wr_item_sk#86, wr_order_number#87, wr_return_amt#88, wr_net_loss#89]

(79) CometExchange
Input [4]: [wr_item_sk#86, wr_order_number#87, wr_return_amt#88, wr_net_loss#89]
Arguments: hashpartitioning(wr_item_sk#86, wr_order_number#87, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8]

(80) CometSort
Input [4]: [wr_item_sk#86, wr_order_number#87, wr_return_amt#88, wr_net_loss#89]
Arguments: [wr_item_sk#86, wr_order_number#87, wr_return_amt#88, wr_net_loss#89], [wr_item_sk#86 ASC NULLS FIRST, wr_order_number#87 ASC NULLS FIRST]

(81) CometSortMergeJoin
Left output [7]: [ws_item_sk#78, ws_web_site_sk#79, ws_promo_sk#80, ws_order_number#81, ws_ext_sales_price#82, ws_net_profit#83, ws_sold_date_sk#84]
Right output [4]: [wr_item_sk#86, wr_order_number#87, wr_return_amt#88, wr_net_loss#89]
Arguments: [ws_item_sk#78, ws_order_number#81], [wr_item_sk#86, wr_order_number#87], LeftOuter

(82) CometProject
Input [11]: [ws_item_sk#78, ws_web_site_sk#79, ws_promo_sk#80, ws_order_number#81, ws_ext_sales_price#82, ws_net_profit#83, ws_sold_date_sk#84, wr_item_sk#86, wr_order_number#87, wr_return_amt#88, wr_net_loss#89]
Arguments: [ws_item_sk#78, ws_web_site_sk#79, ws_promo_sk#80, ws_ext_sales_price#82, ws_net_profit#83, ws_sold_date_sk#84, wr_return_amt#88, wr_net_loss#89], [ws_item_sk#78, ws_web_site_sk#79, ws_promo_sk#80, ws_ext_sales_price#82, ws_net_profit#83, ws_sold_date_sk#84, wr_return_amt#88, wr_net_loss#89]

(83) ReusedExchange [Reuses operator id: 15]
Output [1]: [d_date_sk#91]

(84) CometBroadcastHashJoin
Left output [8]: [ws_item_sk#78, ws_web_site_sk#79, ws_promo_sk#80, ws_ext_sales_price#82, ws_net_profit#83, ws_sold_date_sk#84, wr_return_amt#88, wr_net_loss#89]
Right output [1]: [d_date_sk#91]
Arguments: [ws_sold_date_sk#84], [d_date_sk#91], Inner, BuildRight

(85) CometProject
Input [9]: [ws_item_sk#78, ws_web_site_sk#79, ws_promo_sk#80, ws_ext_sales_price#82, ws_net_profit#83, ws_sold_date_sk#84, wr_return_amt#88, wr_net_loss#89, d_date_sk#91]
Arguments: [ws_item_sk#78, ws_web_site_sk#79, ws_promo_sk#80, ws_ext_sales_price#82, ws_net_profit#83, wr_return_amt#88, wr_net_loss#89], [ws_item_sk#78, ws_web_site_sk#79, ws_promo_sk#80, ws_ext_sales_price#82, ws_net_profit#83, wr_return_amt#88, wr_net_loss#89]

(86) CometScan parquet spark_catalog.default.web_site
Output [2]: [web_site_sk#92, web_site_id#93]
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>

(87) CometFilter
Input [2]: [web_site_sk#92, web_site_id#93]
Condition : isnotnull(web_site_sk#92)

(88) CometProject
Input [2]: [web_site_sk#92, web_site_id#93]
Arguments: [web_site_sk#92, web_site_id#94], [web_site_sk#92, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, web_site_id#93, 16, true, false, true) AS web_site_id#94]

(89) CometBroadcastExchange
Input [2]: [web_site_sk#92, web_site_id#94]
Arguments: [web_site_sk#92, web_site_id#94]

(90) CometBroadcastHashJoin
Left output [7]: [ws_item_sk#78, ws_web_site_sk#79, ws_promo_sk#80, ws_ext_sales_price#82, ws_net_profit#83, wr_return_amt#88, wr_net_loss#89]
Right output [2]: [web_site_sk#92, web_site_id#94]
Arguments: [ws_web_site_sk#79], [web_site_sk#92], Inner, BuildRight

(91) CometProject
Input [9]: [ws_item_sk#78, ws_web_site_sk#79, ws_promo_sk#80, ws_ext_sales_price#82, ws_net_profit#83, wr_return_amt#88, wr_net_loss#89, web_site_sk#92, web_site_id#94]
Arguments: [ws_item_sk#78, ws_promo_sk#80, ws_ext_sales_price#82, ws_net_profit#83, wr_return_amt#88, wr_net_loss#89, web_site_id#94], [ws_item_sk#78, ws_promo_sk#80, ws_ext_sales_price#82, ws_net_profit#83, wr_return_amt#88, wr_net_loss#89, web_site_id#94]

(92) ReusedExchange [Reuses operator id: 27]
Output [1]: [i_item_sk#95]

(93) CometBroadcastHashJoin
Left output [7]: [ws_item_sk#78, ws_promo_sk#80, ws_ext_sales_price#82, ws_net_profit#83, wr_return_amt#88, wr_net_loss#89, web_site_id#94]
Right output [1]: [i_item_sk#95]
Arguments: [ws_item_sk#78], [i_item_sk#95], Inner, BuildRight

(94) CometProject
Input [8]: [ws_item_sk#78, ws_promo_sk#80, ws_ext_sales_price#82, ws_net_profit#83, wr_return_amt#88, wr_net_loss#89, web_site_id#94, i_item_sk#95]
Arguments: [ws_promo_sk#80, ws_ext_sales_price#82, ws_net_profit#83, wr_return_amt#88, wr_net_loss#89, web_site_id#94], [ws_promo_sk#80, ws_ext_sales_price#82, ws_net_profit#83, wr_return_amt#88, wr_net_loss#89, web_site_id#94]

(95) ReusedExchange [Reuses operator id: 33]
Output [1]: [p_promo_sk#96]

(96) CometBroadcastHashJoin
Left output [6]: [ws_promo_sk#80, ws_ext_sales_price#82, ws_net_profit#83, wr_return_amt#88, wr_net_loss#89, web_site_id#94]
Right output [1]: [p_promo_sk#96]
Arguments: [ws_promo_sk#80], [p_promo_sk#96], Inner, BuildRight

(97) CometProject
Input [7]: [ws_promo_sk#80, ws_ext_sales_price#82, ws_net_profit#83, wr_return_amt#88, wr_net_loss#89, web_site_id#94, p_promo_sk#96]
Arguments: [ws_ext_sales_price#82, ws_net_profit#83, wr_return_amt#88, wr_net_loss#89, web_site_id#94], [ws_ext_sales_price#82, ws_net_profit#83, wr_return_amt#88, wr_net_loss#89, web_site_id#94]

(98) CometColumnarToRow [codegen id : 5]
Input [5]: [ws_ext_sales_price#82, ws_net_profit#83, wr_return_amt#88, wr_net_loss#89, web_site_id#94]

(99) HashAggregate [codegen id : 5]
Input [5]: [ws_ext_sales_price#82, ws_net_profit#83, wr_return_amt#88, wr_net_loss#89, web_site_id#94]
Keys [1]: [web_site_id#94]
Functions [3]: [partial_sum(UnscaledValue(ws_ext_sales_price#82)), partial_sum(coalesce(cast(wr_return_amt#88 as decimal(12,2)), 0.00)), partial_sum((ws_net_profit#83 - coalesce(cast(wr_net_loss#89 as decimal(12,2)), 0.00)))]
Aggregate Attributes [5]: [sum#97, sum#98, isEmpty#99, sum#100, isEmpty#101]
Results [6]: [web_site_id#94, sum#102, sum#103, isEmpty#104, sum#105, isEmpty#106]

(100) CometColumnarExchange
Input [6]: [web_site_id#94, sum#102, sum#103, isEmpty#104, sum#105, isEmpty#106]
Arguments: hashpartitioning(web_site_id#94, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9]

(101) CometColumnarToRow [codegen id : 6]
Input [6]: [web_site_id#94, sum#102, sum#103, isEmpty#104, sum#105, isEmpty#106]

(102) HashAggregate [codegen id : 6]
Input [6]: [web_site_id#94, sum#102, sum#103, isEmpty#104, sum#105, isEmpty#106]
Keys [1]: [web_site_id#94]
Functions [3]: [sum(UnscaledValue(ws_ext_sales_price#82)), sum(coalesce(cast(wr_return_amt#88 as decimal(12,2)), 0.00)), sum((ws_net_profit#83 - coalesce(cast(wr_net_loss#89 as decimal(12,2)), 0.00)))]
Aggregate Attributes [3]: [sum(UnscaledValue(ws_ext_sales_price#82))#107, sum(coalesce(cast(wr_return_amt#88 as decimal(12,2)), 0.00))#108, sum((ws_net_profit#83 - coalesce(cast(wr_net_loss#89 as decimal(12,2)), 0.00)))#109]
Results [5]: [MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#82))#107,17,2) AS sales#110, sum(coalesce(cast(wr_return_amt#88 as decimal(12,2)), 0.00))#108 AS returns#111, sum((ws_net_profit#83 - coalesce(cast(wr_net_loss#89 as decimal(12,2)), 0.00)))#109 AS profit#112, web channel AS channel#113, concat(web_site, web_site_id#94) AS id#114]

(103) Union

(104) Expand [codegen id : 7]
Input [5]: [sales#36, returns#37, profit#38, channel#39, id#40]
Arguments: [[sales#36, returns#37, profit#38, channel#39, id#40, 0], [sales#36, returns#37, profit#38, channel#39, null, 1], [sales#36, returns#37, profit#38, null, null, 3]], [sales#36, returns#37, profit#38, channel#115, id#116, spark_grouping_id#117]

(105) HashAggregate [codegen id : 7]
Input [6]: [sales#36, returns#37, profit#38, channel#115, id#116, spark_grouping_id#117]
Keys [3]: [channel#115, id#116, spark_grouping_id#117]
Functions [3]: [partial_sum(sales#36), partial_sum(returns#37), partial_sum(profit#38)]
Aggregate Attributes [6]: [sum#118, isEmpty#119, sum#120, isEmpty#121, sum#122, isEmpty#123]
Results [9]: [channel#115, id#116, spark_grouping_id#117, sum#124, isEmpty#125, sum#126, isEmpty#127, sum#128, isEmpty#129]

(106) CometColumnarExchange
Input [9]: [channel#115, id#116, spark_grouping_id#117, sum#124, isEmpty#125, sum#126, isEmpty#127, sum#128, isEmpty#129]
Arguments: hashpartitioning(channel#115, id#116, spark_grouping_id#117, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10]

(107) CometColumnarToRow [codegen id : 8]
Input [9]: [channel#115, id#116, spark_grouping_id#117, sum#124, isEmpty#125, sum#126, isEmpty#127, sum#128, isEmpty#129]

(108) HashAggregate [codegen id : 8]
Input [9]: [channel#115, id#116, spark_grouping_id#117, sum#124, isEmpty#125, sum#126, isEmpty#127, sum#128, isEmpty#129]
Keys [3]: [channel#115, id#116, spark_grouping_id#117]
Functions [3]: [sum(sales#36), sum(returns#37), sum(profit#38)]
Aggregate Attributes [3]: [sum(sales#36)#130, sum(returns#37)#131, sum(profit#38)#132]
Results [5]: [channel#115, id#116, sum(sales#36)#130 AS sales#133, sum(returns#37)#131 AS returns#134, sum(profit#38)#132 AS profit#135]

(109) TakeOrderedAndProject
Input [5]: [channel#115, id#116, sales#133, returns#134, profit#135]
Arguments: 100, [channel#115 ASC NULLS FIRST, id#116 ASC NULLS FIRST], [channel#115, id#116, sales#133, returns#134, profit#135]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#7 IN dynamicpruning#8
BroadcastExchange (114)
+- * CometColumnarToRow (113)
   +- CometProject (112)
      +- CometFilter (111)
         +- CometScan parquet spark_catalog.default.date_dim (110)


(110) CometScan 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>

(111) 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))

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

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

(114) 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 = 41 Hosting Expression = cs_sold_date_sk#47 IN dynamicpruning#8

Subquery:3 Hosting operator id = 72 Hosting Expression = ws_sold_date_sk#84 IN dynamicpruning#8


