== Physical Plan ==
TakeOrderedAndProject (125)
+- * Project (124)
   +- * SortMergeJoin Inner (123)
      :- * ColumnarToRow (67)
      :  +- CometSort (66)
      :     +- CometColumnarExchange (65)
      :        +- CometFilter (64)
      :           +- CometHashAggregate (63)
      :              +- CometColumnarExchange (62)
      :                 +- CometHashAggregate (61)
      :                    +- CometHashAggregate (60)
      :                       +- CometColumnarExchange (59)
      :                          +- CometHashAggregate (58)
      :                             +- CometUnion (57)
      :                                :- CometProject (22)
      :                                :  +- CometSortMergeJoin (21)
      :                                :     :- CometSort (15)
      :                                :     :  +- CometColumnarExchange (14)
      :                                :     :     +- CometProject (13)
      :                                :     :        +- CometBroadcastHashJoin (12)
      :                                :     :           :- CometProject (8)
      :                                :     :           :  +- CometBroadcastHashJoin (7)
      :                                :     :           :     :- CometFilter (2)
      :                                :     :           :     :  +- CometScan parquet spark_catalog.default.catalog_sales (1)
      :                                :     :           :     +- CometBroadcastExchange (6)
      :                                :     :           :        +- CometProject (5)
      :                                :     :           :           +- CometFilter (4)
      :                                :     :           :              +- CometScan parquet spark_catalog.default.item (3)
      :                                :     :           +- CometBroadcastExchange (11)
      :                                :     :              +- CometFilter (10)
      :                                :     :                 +- CometScan parquet spark_catalog.default.date_dim (9)
      :                                :     +- CometSort (20)
      :                                :        +- CometColumnarExchange (19)
      :                                :           +- CometProject (18)
      :                                :              +- CometFilter (17)
      :                                :                 +- CometScan parquet spark_catalog.default.catalog_returns (16)
      :                                :- CometProject (39)
      :                                :  +- CometSortMergeJoin (38)
      :                                :     :- CometSort (32)
      :                                :     :  +- CometColumnarExchange (31)
      :                                :     :     +- CometProject (30)
      :                                :     :        +- CometBroadcastHashJoin (29)
      :                                :     :           :- CometProject (27)
      :                                :     :           :  +- CometBroadcastHashJoin (26)
      :                                :     :           :     :- CometFilter (24)
      :                                :     :           :     :  +- CometScan parquet spark_catalog.default.store_sales (23)
      :                                :     :           :     +- ReusedExchange (25)
      :                                :     :           +- ReusedExchange (28)
      :                                :     +- CometSort (37)
      :                                :        +- CometColumnarExchange (36)
      :                                :           +- CometProject (35)
      :                                :              +- CometFilter (34)
      :                                :                 +- CometScan parquet spark_catalog.default.store_returns (33)
      :                                +- CometProject (56)
      :                                   +- CometSortMergeJoin (55)
      :                                      :- CometSort (49)
      :                                      :  +- CometColumnarExchange (48)
      :                                      :     +- CometProject (47)
      :                                      :        +- CometBroadcastHashJoin (46)
      :                                      :           :- CometProject (44)
      :                                      :           :  +- CometBroadcastHashJoin (43)
      :                                      :           :     :- CometFilter (41)
      :                                      :           :     :  +- CometScan parquet spark_catalog.default.web_sales (40)
      :                                      :           :     +- ReusedExchange (42)
      :                                      :           +- ReusedExchange (45)
      :                                      +- CometSort (54)
      :                                         +- CometColumnarExchange (53)
      :                                            +- CometProject (52)
      :                                               +- CometFilter (51)
      :                                                  +- CometScan parquet spark_catalog.default.web_returns (50)
      +- * ColumnarToRow (122)
         +- CometSort (121)
            +- CometColumnarExchange (120)
               +- CometFilter (119)
                  +- CometHashAggregate (118)
                     +- CometColumnarExchange (117)
                        +- CometHashAggregate (116)
                           +- CometHashAggregate (115)
                              +- CometColumnarExchange (114)
                                 +- CometHashAggregate (113)
                                    +- CometUnion (112)
                                       :- CometProject (83)
                                       :  +- CometSortMergeJoin (82)
                                       :     :- CometSort (79)
                                       :     :  +- CometColumnarExchange (78)
                                       :     :     +- CometProject (77)
                                       :     :        +- CometBroadcastHashJoin (76)
                                       :     :           :- CometProject (72)
                                       :     :           :  +- CometBroadcastHashJoin (71)
                                       :     :           :     :- CometFilter (69)
                                       :     :           :     :  +- CometScan parquet spark_catalog.default.catalog_sales (68)
                                       :     :           :     +- ReusedExchange (70)
                                       :     :           +- CometBroadcastExchange (75)
                                       :     :              +- CometFilter (74)
                                       :     :                 +- CometScan parquet spark_catalog.default.date_dim (73)
                                       :     +- CometSort (81)
                                       :        +- ReusedExchange (80)
                                       :- CometProject (97)
                                       :  +- CometSortMergeJoin (96)
                                       :     :- CometSort (93)
                                       :     :  +- CometColumnarExchange (92)
                                       :     :     +- CometProject (91)
                                       :     :        +- CometBroadcastHashJoin (90)
                                       :     :           :- CometProject (88)
                                       :     :           :  +- CometBroadcastHashJoin (87)
                                       :     :           :     :- CometFilter (85)
                                       :     :           :     :  +- CometScan parquet spark_catalog.default.store_sales (84)
                                       :     :           :     +- ReusedExchange (86)
                                       :     :           +- ReusedExchange (89)
                                       :     +- CometSort (95)
                                       :        +- ReusedExchange (94)
                                       +- CometProject (111)
                                          +- CometSortMergeJoin (110)
                                             :- CometSort (107)
                                             :  +- CometColumnarExchange (106)
                                             :     +- CometProject (105)
                                             :        +- CometBroadcastHashJoin (104)
                                             :           :- CometProject (102)
                                             :           :  +- CometBroadcastHashJoin (101)
                                             :           :     :- CometFilter (99)
                                             :           :     :  +- CometScan parquet spark_catalog.default.web_sales (98)
                                             :           :     +- ReusedExchange (100)
                                             :           +- ReusedExchange (103)
                                             +- CometSort (109)
                                                +- ReusedExchange (108)


(1) Scan parquet spark_catalog.default.catalog_sales
Output [5]: [cs_item_sk#1, cs_order_number#2, cs_quantity#3, cs_ext_sales_price#4, cs_sold_date_sk#5]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#5), dynamicpruningexpression(cs_sold_date_sk#5 IN dynamicpruning#6)]
PushedFilters: [IsNotNull(cs_item_sk)]
ReadSchema: struct<cs_item_sk:int,cs_order_number:int,cs_quantity:int,cs_ext_sales_price:decimal(7,2)>

(2) CometFilter
Input [5]: [cs_item_sk#1, cs_order_number#2, cs_quantity#3, cs_ext_sales_price#4, cs_sold_date_sk#5]
Condition : isnotnull(cs_item_sk#1)

(3) Scan parquet spark_catalog.default.item
Output [6]: [i_item_sk#7, i_brand_id#8, i_class_id#9, i_category_id#10, i_category#11, i_manufact_id#12]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_category), EqualTo(i_category,Books                                             ), IsNotNull(i_item_sk), IsNotNull(i_brand_id), IsNotNull(i_class_id), IsNotNull(i_category_id), IsNotNull(i_manufact_id)]
ReadSchema: struct<i_item_sk:int,i_brand_id:int,i_class_id:int,i_category_id:int,i_category:string,i_manufact_id:int>

(4) CometFilter
Input [6]: [i_item_sk#7, i_brand_id#8, i_class_id#9, i_category_id#10, i_category#11, i_manufact_id#12]
Condition : ((((((isnotnull(i_category#11) AND (i_category#11 = Books                                             )) AND isnotnull(i_item_sk#7)) AND isnotnull(i_brand_id#8)) AND isnotnull(i_class_id#9)) AND isnotnull(i_category_id#10)) AND isnotnull(i_manufact_id#12))

(5) CometProject
Input [6]: [i_item_sk#7, i_brand_id#8, i_class_id#9, i_category_id#10, i_category#11, i_manufact_id#12]
Arguments: [i_item_sk#7, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12], [i_item_sk#7, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12]

(6) CometBroadcastExchange
Input [5]: [i_item_sk#7, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12]
Arguments: [i_item_sk#7, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12]

(7) CometBroadcastHashJoin
Left output [5]: [cs_item_sk#1, cs_order_number#2, cs_quantity#3, cs_ext_sales_price#4, cs_sold_date_sk#5]
Right output [5]: [i_item_sk#7, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12]
Arguments: [cs_item_sk#1], [i_item_sk#7], Inner, BuildRight

(8) CometProject
Input [10]: [cs_item_sk#1, cs_order_number#2, cs_quantity#3, cs_ext_sales_price#4, cs_sold_date_sk#5, i_item_sk#7, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12]
Arguments: [cs_item_sk#1, cs_order_number#2, cs_quantity#3, cs_ext_sales_price#4, cs_sold_date_sk#5, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12], [cs_item_sk#1, cs_order_number#2, cs_quantity#3, cs_ext_sales_price#4, cs_sold_date_sk#5, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12]

(9) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#13, d_year#14]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(10) CometFilter
Input [2]: [d_date_sk#13, d_year#14]
Condition : ((isnotnull(d_year#14) AND (d_year#14 = 2002)) AND isnotnull(d_date_sk#13))

(11) CometBroadcastExchange
Input [2]: [d_date_sk#13, d_year#14]
Arguments: [d_date_sk#13, d_year#14]

(12) CometBroadcastHashJoin
Left output [9]: [cs_item_sk#1, cs_order_number#2, cs_quantity#3, cs_ext_sales_price#4, cs_sold_date_sk#5, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12]
Right output [2]: [d_date_sk#13, d_year#14]
Arguments: [cs_sold_date_sk#5], [d_date_sk#13], Inner, BuildRight

(13) CometProject
Input [11]: [cs_item_sk#1, cs_order_number#2, cs_quantity#3, cs_ext_sales_price#4, cs_sold_date_sk#5, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, d_date_sk#13, d_year#14]
Arguments: [cs_item_sk#1, cs_order_number#2, cs_quantity#3, cs_ext_sales_price#4, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, d_year#14], [cs_item_sk#1, cs_order_number#2, cs_quantity#3, cs_ext_sales_price#4, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, d_year#14]

(14) CometColumnarExchange
Input [9]: [cs_item_sk#1, cs_order_number#2, cs_quantity#3, cs_ext_sales_price#4, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, d_year#14]
Arguments: hashpartitioning(cs_order_number#2, cs_item_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1]

(15) CometSort
Input [9]: [cs_item_sk#1, cs_order_number#2, cs_quantity#3, cs_ext_sales_price#4, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, d_year#14]
Arguments: [cs_item_sk#1, cs_order_number#2, cs_quantity#3, cs_ext_sales_price#4, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, d_year#14], [cs_order_number#2 ASC NULLS FIRST, cs_item_sk#1 ASC NULLS FIRST]

(16) Scan parquet spark_catalog.default.catalog_returns
Output [5]: [cr_item_sk#15, cr_order_number#16, cr_return_quantity#17, cr_return_amount#18, cr_returned_date_sk#19]
Batched: true
Location [not included in comparison]/{warehouse_dir}/catalog_returns]
PushedFilters: [IsNotNull(cr_order_number), IsNotNull(cr_item_sk)]
ReadSchema: struct<cr_item_sk:int,cr_order_number:int,cr_return_quantity:int,cr_return_amount:decimal(7,2)>

(17) CometFilter
Input [5]: [cr_item_sk#15, cr_order_number#16, cr_return_quantity#17, cr_return_amount#18, cr_returned_date_sk#19]
Condition : (isnotnull(cr_order_number#16) AND isnotnull(cr_item_sk#15))

(18) CometProject
Input [5]: [cr_item_sk#15, cr_order_number#16, cr_return_quantity#17, cr_return_amount#18, cr_returned_date_sk#19]
Arguments: [cr_item_sk#15, cr_order_number#16, cr_return_quantity#17, cr_return_amount#18], [cr_item_sk#15, cr_order_number#16, cr_return_quantity#17, cr_return_amount#18]

(19) CometColumnarExchange
Input [4]: [cr_item_sk#15, cr_order_number#16, cr_return_quantity#17, cr_return_amount#18]
Arguments: hashpartitioning(cr_order_number#16, cr_item_sk#15, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2]

(20) CometSort
Input [4]: [cr_item_sk#15, cr_order_number#16, cr_return_quantity#17, cr_return_amount#18]
Arguments: [cr_item_sk#15, cr_order_number#16, cr_return_quantity#17, cr_return_amount#18], [cr_order_number#16 ASC NULLS FIRST, cr_item_sk#15 ASC NULLS FIRST]

(21) CometSortMergeJoin
Left output [9]: [cs_item_sk#1, cs_order_number#2, cs_quantity#3, cs_ext_sales_price#4, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, d_year#14]
Right output [4]: [cr_item_sk#15, cr_order_number#16, cr_return_quantity#17, cr_return_amount#18]
Arguments: [cs_order_number#2, cs_item_sk#1], [cr_order_number#16, cr_item_sk#15], LeftOuter

(22) CometProject
Input [13]: [cs_item_sk#1, cs_order_number#2, cs_quantity#3, cs_ext_sales_price#4, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, d_year#14, cr_item_sk#15, cr_order_number#16, cr_return_quantity#17, cr_return_amount#18]
Arguments: [d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, sales_cnt#20, sales_amt#21], [d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, (cs_quantity#3 - coalesce(cr_return_quantity#17, 0)) AS sales_cnt#20, (cs_ext_sales_price#4 - coalesce(cr_return_amount#18, 0.00)) AS sales_amt#21]

(23) Scan parquet spark_catalog.default.store_sales
Output [5]: [ss_item_sk#22, ss_ticket_number#23, ss_quantity#24, ss_ext_sales_price#25, ss_sold_date_sk#26]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#26), dynamicpruningexpression(ss_sold_date_sk#26 IN dynamicpruning#27)]
PushedFilters: [IsNotNull(ss_item_sk)]
ReadSchema: struct<ss_item_sk:int,ss_ticket_number:int,ss_quantity:int,ss_ext_sales_price:decimal(7,2)>

(24) CometFilter
Input [5]: [ss_item_sk#22, ss_ticket_number#23, ss_quantity#24, ss_ext_sales_price#25, ss_sold_date_sk#26]
Condition : isnotnull(ss_item_sk#22)

(25) ReusedExchange [Reuses operator id: 6]
Output [5]: [i_item_sk#28, i_brand_id#29, i_class_id#30, i_category_id#31, i_manufact_id#32]

(26) CometBroadcastHashJoin
Left output [5]: [ss_item_sk#22, ss_ticket_number#23, ss_quantity#24, ss_ext_sales_price#25, ss_sold_date_sk#26]
Right output [5]: [i_item_sk#28, i_brand_id#29, i_class_id#30, i_category_id#31, i_manufact_id#32]
Arguments: [ss_item_sk#22], [i_item_sk#28], Inner, BuildRight

(27) CometProject
Input [10]: [ss_item_sk#22, ss_ticket_number#23, ss_quantity#24, ss_ext_sales_price#25, ss_sold_date_sk#26, i_item_sk#28, i_brand_id#29, i_class_id#30, i_category_id#31, i_manufact_id#32]
Arguments: [ss_item_sk#22, ss_ticket_number#23, ss_quantity#24, ss_ext_sales_price#25, ss_sold_date_sk#26, i_brand_id#29, i_class_id#30, i_category_id#31, i_manufact_id#32], [ss_item_sk#22, ss_ticket_number#23, ss_quantity#24, ss_ext_sales_price#25, ss_sold_date_sk#26, i_brand_id#29, i_class_id#30, i_category_id#31, i_manufact_id#32]

(28) ReusedExchange [Reuses operator id: 11]
Output [2]: [d_date_sk#33, d_year#34]

(29) CometBroadcastHashJoin
Left output [9]: [ss_item_sk#22, ss_ticket_number#23, ss_quantity#24, ss_ext_sales_price#25, ss_sold_date_sk#26, i_brand_id#29, i_class_id#30, i_category_id#31, i_manufact_id#32]
Right output [2]: [d_date_sk#33, d_year#34]
Arguments: [ss_sold_date_sk#26], [d_date_sk#33], Inner, BuildRight

(30) CometProject
Input [11]: [ss_item_sk#22, ss_ticket_number#23, ss_quantity#24, ss_ext_sales_price#25, ss_sold_date_sk#26, i_brand_id#29, i_class_id#30, i_category_id#31, i_manufact_id#32, d_date_sk#33, d_year#34]
Arguments: [ss_item_sk#22, ss_ticket_number#23, ss_quantity#24, ss_ext_sales_price#25, i_brand_id#29, i_class_id#30, i_category_id#31, i_manufact_id#32, d_year#34], [ss_item_sk#22, ss_ticket_number#23, ss_quantity#24, ss_ext_sales_price#25, i_brand_id#29, i_class_id#30, i_category_id#31, i_manufact_id#32, d_year#34]

(31) CometColumnarExchange
Input [9]: [ss_item_sk#22, ss_ticket_number#23, ss_quantity#24, ss_ext_sales_price#25, i_brand_id#29, i_class_id#30, i_category_id#31, i_manufact_id#32, d_year#34]
Arguments: hashpartitioning(ss_ticket_number#23, ss_item_sk#22, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3]

(32) CometSort
Input [9]: [ss_item_sk#22, ss_ticket_number#23, ss_quantity#24, ss_ext_sales_price#25, i_brand_id#29, i_class_id#30, i_category_id#31, i_manufact_id#32, d_year#34]
Arguments: [ss_item_sk#22, ss_ticket_number#23, ss_quantity#24, ss_ext_sales_price#25, i_brand_id#29, i_class_id#30, i_category_id#31, i_manufact_id#32, d_year#34], [ss_ticket_number#23 ASC NULLS FIRST, ss_item_sk#22 ASC NULLS FIRST]

(33) Scan parquet spark_catalog.default.store_returns
Output [5]: [sr_item_sk#35, sr_ticket_number#36, sr_return_quantity#37, sr_return_amt#38, sr_returned_date_sk#39]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store_returns]
PushedFilters: [IsNotNull(sr_ticket_number), IsNotNull(sr_item_sk)]
ReadSchema: struct<sr_item_sk:int,sr_ticket_number:int,sr_return_quantity:int,sr_return_amt:decimal(7,2)>

(34) CometFilter
Input [5]: [sr_item_sk#35, sr_ticket_number#36, sr_return_quantity#37, sr_return_amt#38, sr_returned_date_sk#39]
Condition : (isnotnull(sr_ticket_number#36) AND isnotnull(sr_item_sk#35))

(35) CometProject
Input [5]: [sr_item_sk#35, sr_ticket_number#36, sr_return_quantity#37, sr_return_amt#38, sr_returned_date_sk#39]
Arguments: [sr_item_sk#35, sr_ticket_number#36, sr_return_quantity#37, sr_return_amt#38], [sr_item_sk#35, sr_ticket_number#36, sr_return_quantity#37, sr_return_amt#38]

(36) CometColumnarExchange
Input [4]: [sr_item_sk#35, sr_ticket_number#36, sr_return_quantity#37, sr_return_amt#38]
Arguments: hashpartitioning(sr_ticket_number#36, sr_item_sk#35, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4]

(37) CometSort
Input [4]: [sr_item_sk#35, sr_ticket_number#36, sr_return_quantity#37, sr_return_amt#38]
Arguments: [sr_item_sk#35, sr_ticket_number#36, sr_return_quantity#37, sr_return_amt#38], [sr_ticket_number#36 ASC NULLS FIRST, sr_item_sk#35 ASC NULLS FIRST]

(38) CometSortMergeJoin
Left output [9]: [ss_item_sk#22, ss_ticket_number#23, ss_quantity#24, ss_ext_sales_price#25, i_brand_id#29, i_class_id#30, i_category_id#31, i_manufact_id#32, d_year#34]
Right output [4]: [sr_item_sk#35, sr_ticket_number#36, sr_return_quantity#37, sr_return_amt#38]
Arguments: [ss_ticket_number#23, ss_item_sk#22], [sr_ticket_number#36, sr_item_sk#35], LeftOuter

(39) CometProject
Input [13]: [ss_item_sk#22, ss_ticket_number#23, ss_quantity#24, ss_ext_sales_price#25, i_brand_id#29, i_class_id#30, i_category_id#31, i_manufact_id#32, d_year#34, sr_item_sk#35, sr_ticket_number#36, sr_return_quantity#37, sr_return_amt#38]
Arguments: [d_year#34, i_brand_id#29, i_class_id#30, i_category_id#31, i_manufact_id#32, sales_cnt#40, sales_amt#41], [d_year#34, i_brand_id#29, i_class_id#30, i_category_id#31, i_manufact_id#32, (ss_quantity#24 - coalesce(sr_return_quantity#37, 0)) AS sales_cnt#40, (ss_ext_sales_price#25 - coalesce(sr_return_amt#38, 0.00)) AS sales_amt#41]

(40) Scan parquet spark_catalog.default.web_sales
Output [5]: [ws_item_sk#42, ws_order_number#43, ws_quantity#44, ws_ext_sales_price#45, ws_sold_date_sk#46]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#46), dynamicpruningexpression(ws_sold_date_sk#46 IN dynamicpruning#47)]
PushedFilters: [IsNotNull(ws_item_sk)]
ReadSchema: struct<ws_item_sk:int,ws_order_number:int,ws_quantity:int,ws_ext_sales_price:decimal(7,2)>

(41) CometFilter
Input [5]: [ws_item_sk#42, ws_order_number#43, ws_quantity#44, ws_ext_sales_price#45, ws_sold_date_sk#46]
Condition : isnotnull(ws_item_sk#42)

(42) ReusedExchange [Reuses operator id: 6]
Output [5]: [i_item_sk#48, i_brand_id#49, i_class_id#50, i_category_id#51, i_manufact_id#52]

(43) CometBroadcastHashJoin
Left output [5]: [ws_item_sk#42, ws_order_number#43, ws_quantity#44, ws_ext_sales_price#45, ws_sold_date_sk#46]
Right output [5]: [i_item_sk#48, i_brand_id#49, i_class_id#50, i_category_id#51, i_manufact_id#52]
Arguments: [ws_item_sk#42], [i_item_sk#48], Inner, BuildRight

(44) CometProject
Input [10]: [ws_item_sk#42, ws_order_number#43, ws_quantity#44, ws_ext_sales_price#45, ws_sold_date_sk#46, i_item_sk#48, i_brand_id#49, i_class_id#50, i_category_id#51, i_manufact_id#52]
Arguments: [ws_item_sk#42, ws_order_number#43, ws_quantity#44, ws_ext_sales_price#45, ws_sold_date_sk#46, i_brand_id#49, i_class_id#50, i_category_id#51, i_manufact_id#52], [ws_item_sk#42, ws_order_number#43, ws_quantity#44, ws_ext_sales_price#45, ws_sold_date_sk#46, i_brand_id#49, i_class_id#50, i_category_id#51, i_manufact_id#52]

(45) ReusedExchange [Reuses operator id: 11]
Output [2]: [d_date_sk#53, d_year#54]

(46) CometBroadcastHashJoin
Left output [9]: [ws_item_sk#42, ws_order_number#43, ws_quantity#44, ws_ext_sales_price#45, ws_sold_date_sk#46, i_brand_id#49, i_class_id#50, i_category_id#51, i_manufact_id#52]
Right output [2]: [d_date_sk#53, d_year#54]
Arguments: [ws_sold_date_sk#46], [d_date_sk#53], Inner, BuildRight

(47) CometProject
Input [11]: [ws_item_sk#42, ws_order_number#43, ws_quantity#44, ws_ext_sales_price#45, ws_sold_date_sk#46, i_brand_id#49, i_class_id#50, i_category_id#51, i_manufact_id#52, d_date_sk#53, d_year#54]
Arguments: [ws_item_sk#42, ws_order_number#43, ws_quantity#44, ws_ext_sales_price#45, i_brand_id#49, i_class_id#50, i_category_id#51, i_manufact_id#52, d_year#54], [ws_item_sk#42, ws_order_number#43, ws_quantity#44, ws_ext_sales_price#45, i_brand_id#49, i_class_id#50, i_category_id#51, i_manufact_id#52, d_year#54]

(48) CometColumnarExchange
Input [9]: [ws_item_sk#42, ws_order_number#43, ws_quantity#44, ws_ext_sales_price#45, i_brand_id#49, i_class_id#50, i_category_id#51, i_manufact_id#52, d_year#54]
Arguments: hashpartitioning(ws_order_number#43, ws_item_sk#42, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5]

(49) CometSort
Input [9]: [ws_item_sk#42, ws_order_number#43, ws_quantity#44, ws_ext_sales_price#45, i_brand_id#49, i_class_id#50, i_category_id#51, i_manufact_id#52, d_year#54]
Arguments: [ws_item_sk#42, ws_order_number#43, ws_quantity#44, ws_ext_sales_price#45, i_brand_id#49, i_class_id#50, i_category_id#51, i_manufact_id#52, d_year#54], [ws_order_number#43 ASC NULLS FIRST, ws_item_sk#42 ASC NULLS FIRST]

(50) Scan parquet spark_catalog.default.web_returns
Output [5]: [wr_item_sk#55, wr_order_number#56, wr_return_quantity#57, wr_return_amt#58, wr_returned_date_sk#59]
Batched: true
Location [not included in comparison]/{warehouse_dir}/web_returns]
PushedFilters: [IsNotNull(wr_order_number), IsNotNull(wr_item_sk)]
ReadSchema: struct<wr_item_sk:int,wr_order_number:int,wr_return_quantity:int,wr_return_amt:decimal(7,2)>

(51) CometFilter
Input [5]: [wr_item_sk#55, wr_order_number#56, wr_return_quantity#57, wr_return_amt#58, wr_returned_date_sk#59]
Condition : (isnotnull(wr_order_number#56) AND isnotnull(wr_item_sk#55))

(52) CometProject
Input [5]: [wr_item_sk#55, wr_order_number#56, wr_return_quantity#57, wr_return_amt#58, wr_returned_date_sk#59]
Arguments: [wr_item_sk#55, wr_order_number#56, wr_return_quantity#57, wr_return_amt#58], [wr_item_sk#55, wr_order_number#56, wr_return_quantity#57, wr_return_amt#58]

(53) CometColumnarExchange
Input [4]: [wr_item_sk#55, wr_order_number#56, wr_return_quantity#57, wr_return_amt#58]
Arguments: hashpartitioning(wr_order_number#56, wr_item_sk#55, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6]

(54) CometSort
Input [4]: [wr_item_sk#55, wr_order_number#56, wr_return_quantity#57, wr_return_amt#58]
Arguments: [wr_item_sk#55, wr_order_number#56, wr_return_quantity#57, wr_return_amt#58], [wr_order_number#56 ASC NULLS FIRST, wr_item_sk#55 ASC NULLS FIRST]

(55) CometSortMergeJoin
Left output [9]: [ws_item_sk#42, ws_order_number#43, ws_quantity#44, ws_ext_sales_price#45, i_brand_id#49, i_class_id#50, i_category_id#51, i_manufact_id#52, d_year#54]
Right output [4]: [wr_item_sk#55, wr_order_number#56, wr_return_quantity#57, wr_return_amt#58]
Arguments: [ws_order_number#43, ws_item_sk#42], [wr_order_number#56, wr_item_sk#55], LeftOuter

(56) CometProject
Input [13]: [ws_item_sk#42, ws_order_number#43, ws_quantity#44, ws_ext_sales_price#45, i_brand_id#49, i_class_id#50, i_category_id#51, i_manufact_id#52, d_year#54, wr_item_sk#55, wr_order_number#56, wr_return_quantity#57, wr_return_amt#58]
Arguments: [d_year#54, i_brand_id#49, i_class_id#50, i_category_id#51, i_manufact_id#52, sales_cnt#60, sales_amt#61], [d_year#54, i_brand_id#49, i_class_id#50, i_category_id#51, i_manufact_id#52, (ws_quantity#44 - coalesce(wr_return_quantity#57, 0)) AS sales_cnt#60, (ws_ext_sales_price#45 - coalesce(wr_return_amt#58, 0.00)) AS sales_amt#61]

(57) CometUnion
Child 0 Input [7]: [d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, sales_cnt#20, sales_amt#21]
Child 1 Input [7]: [d_year#34, i_brand_id#29, i_class_id#30, i_category_id#31, i_manufact_id#32, sales_cnt#40, sales_amt#41]
Child 2 Input [7]: [d_year#54, i_brand_id#49, i_class_id#50, i_category_id#51, i_manufact_id#52, sales_cnt#60, sales_amt#61]

(58) CometHashAggregate
Input [7]: [d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, sales_cnt#20, sales_amt#21]
Keys [7]: [d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, sales_cnt#20, sales_amt#21]
Functions: []

(59) CometColumnarExchange
Input [7]: [d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, sales_cnt#20, sales_amt#21]
Arguments: hashpartitioning(d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, sales_cnt#20, sales_amt#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7]

(60) CometHashAggregate
Input [7]: [d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, sales_cnt#20, sales_amt#21]
Keys [7]: [d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, sales_cnt#20, sales_amt#21]
Functions: []

(61) CometHashAggregate
Input [7]: [d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, sales_cnt#20, sales_amt#21]
Keys [5]: [d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12]
Functions [2]: [partial_sum(sales_cnt#20), partial_sum(UnscaledValue(sales_amt#21))]

(62) CometColumnarExchange
Input [7]: [d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, sum#62, sum#63]
Arguments: hashpartitioning(d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8]

(63) CometHashAggregate
Input [7]: [d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, sum#62, sum#63]
Keys [5]: [d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12]
Functions [2]: [sum(sales_cnt#20), sum(UnscaledValue(sales_amt#21))]

(64) CometFilter
Input [7]: [d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, sales_cnt#64, sales_amt#65]
Condition : isnotnull(sales_cnt#64)

(65) CometColumnarExchange
Input [7]: [d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, sales_cnt#64, sales_amt#65]
Arguments: hashpartitioning(i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9]

(66) CometSort
Input [7]: [d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, sales_cnt#64, sales_amt#65]
Arguments: [d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, sales_cnt#64, sales_amt#65], [i_brand_id#8 ASC NULLS FIRST, i_class_id#9 ASC NULLS FIRST, i_category_id#10 ASC NULLS FIRST, i_manufact_id#12 ASC NULLS FIRST]

(67) ColumnarToRow [codegen id : 1]
Input [7]: [d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, sales_cnt#64, sales_amt#65]

(68) Scan parquet spark_catalog.default.catalog_sales
Output [5]: [cs_item_sk#66, cs_order_number#67, cs_quantity#68, cs_ext_sales_price#69, cs_sold_date_sk#70]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#70), dynamicpruningexpression(cs_sold_date_sk#70 IN dynamicpruning#71)]
PushedFilters: [IsNotNull(cs_item_sk)]
ReadSchema: struct<cs_item_sk:int,cs_order_number:int,cs_quantity:int,cs_ext_sales_price:decimal(7,2)>

(69) CometFilter
Input [5]: [cs_item_sk#66, cs_order_number#67, cs_quantity#68, cs_ext_sales_price#69, cs_sold_date_sk#70]
Condition : isnotnull(cs_item_sk#66)

(70) ReusedExchange [Reuses operator id: 6]
Output [5]: [i_item_sk#72, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76]

(71) CometBroadcastHashJoin
Left output [5]: [cs_item_sk#66, cs_order_number#67, cs_quantity#68, cs_ext_sales_price#69, cs_sold_date_sk#70]
Right output [5]: [i_item_sk#72, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76]
Arguments: [cs_item_sk#66], [i_item_sk#72], Inner, BuildRight

(72) CometProject
Input [10]: [cs_item_sk#66, cs_order_number#67, cs_quantity#68, cs_ext_sales_price#69, cs_sold_date_sk#70, i_item_sk#72, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76]
Arguments: [cs_item_sk#66, cs_order_number#67, cs_quantity#68, cs_ext_sales_price#69, cs_sold_date_sk#70, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76], [cs_item_sk#66, cs_order_number#67, cs_quantity#68, cs_ext_sales_price#69, cs_sold_date_sk#70, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76]

(73) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#77, d_year#78]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(74) CometFilter
Input [2]: [d_date_sk#77, d_year#78]
Condition : ((isnotnull(d_year#78) AND (d_year#78 = 2001)) AND isnotnull(d_date_sk#77))

(75) CometBroadcastExchange
Input [2]: [d_date_sk#77, d_year#78]
Arguments: [d_date_sk#77, d_year#78]

(76) CometBroadcastHashJoin
Left output [9]: [cs_item_sk#66, cs_order_number#67, cs_quantity#68, cs_ext_sales_price#69, cs_sold_date_sk#70, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76]
Right output [2]: [d_date_sk#77, d_year#78]
Arguments: [cs_sold_date_sk#70], [d_date_sk#77], Inner, BuildRight

(77) CometProject
Input [11]: [cs_item_sk#66, cs_order_number#67, cs_quantity#68, cs_ext_sales_price#69, cs_sold_date_sk#70, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, d_date_sk#77, d_year#78]
Arguments: [cs_item_sk#66, cs_order_number#67, cs_quantity#68, cs_ext_sales_price#69, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, d_year#78], [cs_item_sk#66, cs_order_number#67, cs_quantity#68, cs_ext_sales_price#69, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, d_year#78]

(78) CometColumnarExchange
Input [9]: [cs_item_sk#66, cs_order_number#67, cs_quantity#68, cs_ext_sales_price#69, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, d_year#78]
Arguments: hashpartitioning(cs_order_number#67, cs_item_sk#66, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10]

(79) CometSort
Input [9]: [cs_item_sk#66, cs_order_number#67, cs_quantity#68, cs_ext_sales_price#69, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, d_year#78]
Arguments: [cs_item_sk#66, cs_order_number#67, cs_quantity#68, cs_ext_sales_price#69, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, d_year#78], [cs_order_number#67 ASC NULLS FIRST, cs_item_sk#66 ASC NULLS FIRST]

(80) ReusedExchange [Reuses operator id: 19]
Output [4]: [cr_item_sk#79, cr_order_number#80, cr_return_quantity#81, cr_return_amount#82]

(81) CometSort
Input [4]: [cr_item_sk#79, cr_order_number#80, cr_return_quantity#81, cr_return_amount#82]
Arguments: [cr_item_sk#79, cr_order_number#80, cr_return_quantity#81, cr_return_amount#82], [cr_order_number#80 ASC NULLS FIRST, cr_item_sk#79 ASC NULLS FIRST]

(82) CometSortMergeJoin
Left output [9]: [cs_item_sk#66, cs_order_number#67, cs_quantity#68, cs_ext_sales_price#69, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, d_year#78]
Right output [4]: [cr_item_sk#79, cr_order_number#80, cr_return_quantity#81, cr_return_amount#82]
Arguments: [cs_order_number#67, cs_item_sk#66], [cr_order_number#80, cr_item_sk#79], LeftOuter

(83) CometProject
Input [13]: [cs_item_sk#66, cs_order_number#67, cs_quantity#68, cs_ext_sales_price#69, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, d_year#78, cr_item_sk#79, cr_order_number#80, cr_return_quantity#81, cr_return_amount#82]
Arguments: [d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, sales_cnt#20, sales_amt#21], [d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, (cs_quantity#68 - coalesce(cr_return_quantity#81, 0)) AS sales_cnt#20, (cs_ext_sales_price#69 - coalesce(cr_return_amount#82, 0.00)) AS sales_amt#21]

(84) Scan parquet spark_catalog.default.store_sales
Output [5]: [ss_item_sk#83, ss_ticket_number#84, ss_quantity#85, ss_ext_sales_price#86, ss_sold_date_sk#87]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#87), dynamicpruningexpression(ss_sold_date_sk#87 IN dynamicpruning#88)]
PushedFilters: [IsNotNull(ss_item_sk)]
ReadSchema: struct<ss_item_sk:int,ss_ticket_number:int,ss_quantity:int,ss_ext_sales_price:decimal(7,2)>

(85) CometFilter
Input [5]: [ss_item_sk#83, ss_ticket_number#84, ss_quantity#85, ss_ext_sales_price#86, ss_sold_date_sk#87]
Condition : isnotnull(ss_item_sk#83)

(86) ReusedExchange [Reuses operator id: 6]
Output [5]: [i_item_sk#89, i_brand_id#90, i_class_id#91, i_category_id#92, i_manufact_id#93]

(87) CometBroadcastHashJoin
Left output [5]: [ss_item_sk#83, ss_ticket_number#84, ss_quantity#85, ss_ext_sales_price#86, ss_sold_date_sk#87]
Right output [5]: [i_item_sk#89, i_brand_id#90, i_class_id#91, i_category_id#92, i_manufact_id#93]
Arguments: [ss_item_sk#83], [i_item_sk#89], Inner, BuildRight

(88) CometProject
Input [10]: [ss_item_sk#83, ss_ticket_number#84, ss_quantity#85, ss_ext_sales_price#86, ss_sold_date_sk#87, i_item_sk#89, i_brand_id#90, i_class_id#91, i_category_id#92, i_manufact_id#93]
Arguments: [ss_item_sk#83, ss_ticket_number#84, ss_quantity#85, ss_ext_sales_price#86, ss_sold_date_sk#87, i_brand_id#90, i_class_id#91, i_category_id#92, i_manufact_id#93], [ss_item_sk#83, ss_ticket_number#84, ss_quantity#85, ss_ext_sales_price#86, ss_sold_date_sk#87, i_brand_id#90, i_class_id#91, i_category_id#92, i_manufact_id#93]

(89) ReusedExchange [Reuses operator id: 75]
Output [2]: [d_date_sk#94, d_year#95]

(90) CometBroadcastHashJoin
Left output [9]: [ss_item_sk#83, ss_ticket_number#84, ss_quantity#85, ss_ext_sales_price#86, ss_sold_date_sk#87, i_brand_id#90, i_class_id#91, i_category_id#92, i_manufact_id#93]
Right output [2]: [d_date_sk#94, d_year#95]
Arguments: [ss_sold_date_sk#87], [d_date_sk#94], Inner, BuildRight

(91) CometProject
Input [11]: [ss_item_sk#83, ss_ticket_number#84, ss_quantity#85, ss_ext_sales_price#86, ss_sold_date_sk#87, i_brand_id#90, i_class_id#91, i_category_id#92, i_manufact_id#93, d_date_sk#94, d_year#95]
Arguments: [ss_item_sk#83, ss_ticket_number#84, ss_quantity#85, ss_ext_sales_price#86, i_brand_id#90, i_class_id#91, i_category_id#92, i_manufact_id#93, d_year#95], [ss_item_sk#83, ss_ticket_number#84, ss_quantity#85, ss_ext_sales_price#86, i_brand_id#90, i_class_id#91, i_category_id#92, i_manufact_id#93, d_year#95]

(92) CometColumnarExchange
Input [9]: [ss_item_sk#83, ss_ticket_number#84, ss_quantity#85, ss_ext_sales_price#86, i_brand_id#90, i_class_id#91, i_category_id#92, i_manufact_id#93, d_year#95]
Arguments: hashpartitioning(ss_ticket_number#84, ss_item_sk#83, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11]

(93) CometSort
Input [9]: [ss_item_sk#83, ss_ticket_number#84, ss_quantity#85, ss_ext_sales_price#86, i_brand_id#90, i_class_id#91, i_category_id#92, i_manufact_id#93, d_year#95]
Arguments: [ss_item_sk#83, ss_ticket_number#84, ss_quantity#85, ss_ext_sales_price#86, i_brand_id#90, i_class_id#91, i_category_id#92, i_manufact_id#93, d_year#95], [ss_ticket_number#84 ASC NULLS FIRST, ss_item_sk#83 ASC NULLS FIRST]

(94) ReusedExchange [Reuses operator id: 36]
Output [4]: [sr_item_sk#96, sr_ticket_number#97, sr_return_quantity#98, sr_return_amt#99]

(95) CometSort
Input [4]: [sr_item_sk#96, sr_ticket_number#97, sr_return_quantity#98, sr_return_amt#99]
Arguments: [sr_item_sk#96, sr_ticket_number#97, sr_return_quantity#98, sr_return_amt#99], [sr_ticket_number#97 ASC NULLS FIRST, sr_item_sk#96 ASC NULLS FIRST]

(96) CometSortMergeJoin
Left output [9]: [ss_item_sk#83, ss_ticket_number#84, ss_quantity#85, ss_ext_sales_price#86, i_brand_id#90, i_class_id#91, i_category_id#92, i_manufact_id#93, d_year#95]
Right output [4]: [sr_item_sk#96, sr_ticket_number#97, sr_return_quantity#98, sr_return_amt#99]
Arguments: [ss_ticket_number#84, ss_item_sk#83], [sr_ticket_number#97, sr_item_sk#96], LeftOuter

(97) CometProject
Input [13]: [ss_item_sk#83, ss_ticket_number#84, ss_quantity#85, ss_ext_sales_price#86, i_brand_id#90, i_class_id#91, i_category_id#92, i_manufact_id#93, d_year#95, sr_item_sk#96, sr_ticket_number#97, sr_return_quantity#98, sr_return_amt#99]
Arguments: [d_year#95, i_brand_id#90, i_class_id#91, i_category_id#92, i_manufact_id#93, sales_cnt#40, sales_amt#41], [d_year#95, i_brand_id#90, i_class_id#91, i_category_id#92, i_manufact_id#93, (ss_quantity#85 - coalesce(sr_return_quantity#98, 0)) AS sales_cnt#40, (ss_ext_sales_price#86 - coalesce(sr_return_amt#99, 0.00)) AS sales_amt#41]

(98) Scan parquet spark_catalog.default.web_sales
Output [5]: [ws_item_sk#100, ws_order_number#101, ws_quantity#102, ws_ext_sales_price#103, ws_sold_date_sk#104]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#104), dynamicpruningexpression(ws_sold_date_sk#104 IN dynamicpruning#105)]
PushedFilters: [IsNotNull(ws_item_sk)]
ReadSchema: struct<ws_item_sk:int,ws_order_number:int,ws_quantity:int,ws_ext_sales_price:decimal(7,2)>

(99) CometFilter
Input [5]: [ws_item_sk#100, ws_order_number#101, ws_quantity#102, ws_ext_sales_price#103, ws_sold_date_sk#104]
Condition : isnotnull(ws_item_sk#100)

(100) ReusedExchange [Reuses operator id: 6]
Output [5]: [i_item_sk#106, i_brand_id#107, i_class_id#108, i_category_id#109, i_manufact_id#110]

(101) CometBroadcastHashJoin
Left output [5]: [ws_item_sk#100, ws_order_number#101, ws_quantity#102, ws_ext_sales_price#103, ws_sold_date_sk#104]
Right output [5]: [i_item_sk#106, i_brand_id#107, i_class_id#108, i_category_id#109, i_manufact_id#110]
Arguments: [ws_item_sk#100], [i_item_sk#106], Inner, BuildRight

(102) CometProject
Input [10]: [ws_item_sk#100, ws_order_number#101, ws_quantity#102, ws_ext_sales_price#103, ws_sold_date_sk#104, i_item_sk#106, i_brand_id#107, i_class_id#108, i_category_id#109, i_manufact_id#110]
Arguments: [ws_item_sk#100, ws_order_number#101, ws_quantity#102, ws_ext_sales_price#103, ws_sold_date_sk#104, i_brand_id#107, i_class_id#108, i_category_id#109, i_manufact_id#110], [ws_item_sk#100, ws_order_number#101, ws_quantity#102, ws_ext_sales_price#103, ws_sold_date_sk#104, i_brand_id#107, i_class_id#108, i_category_id#109, i_manufact_id#110]

(103) ReusedExchange [Reuses operator id: 75]
Output [2]: [d_date_sk#111, d_year#112]

(104) CometBroadcastHashJoin
Left output [9]: [ws_item_sk#100, ws_order_number#101, ws_quantity#102, ws_ext_sales_price#103, ws_sold_date_sk#104, i_brand_id#107, i_class_id#108, i_category_id#109, i_manufact_id#110]
Right output [2]: [d_date_sk#111, d_year#112]
Arguments: [ws_sold_date_sk#104], [d_date_sk#111], Inner, BuildRight

(105) CometProject
Input [11]: [ws_item_sk#100, ws_order_number#101, ws_quantity#102, ws_ext_sales_price#103, ws_sold_date_sk#104, i_brand_id#107, i_class_id#108, i_category_id#109, i_manufact_id#110, d_date_sk#111, d_year#112]
Arguments: [ws_item_sk#100, ws_order_number#101, ws_quantity#102, ws_ext_sales_price#103, i_brand_id#107, i_class_id#108, i_category_id#109, i_manufact_id#110, d_year#112], [ws_item_sk#100, ws_order_number#101, ws_quantity#102, ws_ext_sales_price#103, i_brand_id#107, i_class_id#108, i_category_id#109, i_manufact_id#110, d_year#112]

(106) CometColumnarExchange
Input [9]: [ws_item_sk#100, ws_order_number#101, ws_quantity#102, ws_ext_sales_price#103, i_brand_id#107, i_class_id#108, i_category_id#109, i_manufact_id#110, d_year#112]
Arguments: hashpartitioning(ws_order_number#101, ws_item_sk#100, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12]

(107) CometSort
Input [9]: [ws_item_sk#100, ws_order_number#101, ws_quantity#102, ws_ext_sales_price#103, i_brand_id#107, i_class_id#108, i_category_id#109, i_manufact_id#110, d_year#112]
Arguments: [ws_item_sk#100, ws_order_number#101, ws_quantity#102, ws_ext_sales_price#103, i_brand_id#107, i_class_id#108, i_category_id#109, i_manufact_id#110, d_year#112], [ws_order_number#101 ASC NULLS FIRST, ws_item_sk#100 ASC NULLS FIRST]

(108) ReusedExchange [Reuses operator id: 53]
Output [4]: [wr_item_sk#113, wr_order_number#114, wr_return_quantity#115, wr_return_amt#116]

(109) CometSort
Input [4]: [wr_item_sk#113, wr_order_number#114, wr_return_quantity#115, wr_return_amt#116]
Arguments: [wr_item_sk#113, wr_order_number#114, wr_return_quantity#115, wr_return_amt#116], [wr_order_number#114 ASC NULLS FIRST, wr_item_sk#113 ASC NULLS FIRST]

(110) CometSortMergeJoin
Left output [9]: [ws_item_sk#100, ws_order_number#101, ws_quantity#102, ws_ext_sales_price#103, i_brand_id#107, i_class_id#108, i_category_id#109, i_manufact_id#110, d_year#112]
Right output [4]: [wr_item_sk#113, wr_order_number#114, wr_return_quantity#115, wr_return_amt#116]
Arguments: [ws_order_number#101, ws_item_sk#100], [wr_order_number#114, wr_item_sk#113], LeftOuter

(111) CometProject
Input [13]: [ws_item_sk#100, ws_order_number#101, ws_quantity#102, ws_ext_sales_price#103, i_brand_id#107, i_class_id#108, i_category_id#109, i_manufact_id#110, d_year#112, wr_item_sk#113, wr_order_number#114, wr_return_quantity#115, wr_return_amt#116]
Arguments: [d_year#112, i_brand_id#107, i_class_id#108, i_category_id#109, i_manufact_id#110, sales_cnt#60, sales_amt#61], [d_year#112, i_brand_id#107, i_class_id#108, i_category_id#109, i_manufact_id#110, (ws_quantity#102 - coalesce(wr_return_quantity#115, 0)) AS sales_cnt#60, (ws_ext_sales_price#103 - coalesce(wr_return_amt#116, 0.00)) AS sales_amt#61]

(112) CometUnion
Child 0 Input [7]: [d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, sales_cnt#20, sales_amt#21]
Child 1 Input [7]: [d_year#95, i_brand_id#90, i_class_id#91, i_category_id#92, i_manufact_id#93, sales_cnt#40, sales_amt#41]
Child 2 Input [7]: [d_year#112, i_brand_id#107, i_class_id#108, i_category_id#109, i_manufact_id#110, sales_cnt#60, sales_amt#61]

(113) CometHashAggregate
Input [7]: [d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, sales_cnt#20, sales_amt#21]
Keys [7]: [d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, sales_cnt#20, sales_amt#21]
Functions: []

(114) CometColumnarExchange
Input [7]: [d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, sales_cnt#20, sales_amt#21]
Arguments: hashpartitioning(d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, sales_cnt#20, sales_amt#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13]

(115) CometHashAggregate
Input [7]: [d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, sales_cnt#20, sales_amt#21]
Keys [7]: [d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, sales_cnt#20, sales_amt#21]
Functions: []

(116) CometHashAggregate
Input [7]: [d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, sales_cnt#20, sales_amt#21]
Keys [5]: [d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76]
Functions [2]: [partial_sum(sales_cnt#20), partial_sum(UnscaledValue(sales_amt#21))]

(117) CometColumnarExchange
Input [7]: [d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, sum#62, sum#117]
Arguments: hashpartitioning(d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=14]

(118) CometHashAggregate
Input [7]: [d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, sum#62, sum#117]
Keys [5]: [d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76]
Functions [2]: [sum(sales_cnt#20), sum(UnscaledValue(sales_amt#21))]

(119) CometFilter
Input [7]: [d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, sales_cnt#118, sales_amt#119]
Condition : isnotnull(sales_cnt#118)

(120) CometColumnarExchange
Input [7]: [d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, sales_cnt#118, sales_amt#119]
Arguments: hashpartitioning(i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=15]

(121) CometSort
Input [7]: [d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, sales_cnt#118, sales_amt#119]
Arguments: [d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, sales_cnt#118, sales_amt#119], [i_brand_id#73 ASC NULLS FIRST, i_class_id#74 ASC NULLS FIRST, i_category_id#75 ASC NULLS FIRST, i_manufact_id#76 ASC NULLS FIRST]

(122) ColumnarToRow [codegen id : 2]
Input [7]: [d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, sales_cnt#118, sales_amt#119]

(123) SortMergeJoin [codegen id : 3]
Left keys [4]: [i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12]
Right keys [4]: [i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76]
Join type: Inner
Join condition: ((cast(sales_cnt#64 as decimal(17,2)) / cast(sales_cnt#118 as decimal(17,2))) < 0.90000000000000000000)

(124) Project [codegen id : 3]
Output [10]: [d_year#78 AS prev_year#120, d_year#14 AS year#121, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, sales_cnt#118 AS prev_yr_cnt#122, sales_cnt#64 AS curr_yr_cnt#123, (sales_cnt#64 - sales_cnt#118) AS sales_cnt_diff#124, (sales_amt#65 - sales_amt#119) AS sales_amt_diff#125]
Input [14]: [d_year#14, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, sales_cnt#64, sales_amt#65, d_year#78, i_brand_id#73, i_class_id#74, i_category_id#75, i_manufact_id#76, sales_cnt#118, sales_amt#119]

(125) TakeOrderedAndProject
Input [10]: [prev_year#120, year#121, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, prev_yr_cnt#122, curr_yr_cnt#123, sales_cnt_diff#124, sales_amt_diff#125]
Arguments: 100, [sales_cnt_diff#124 ASC NULLS FIRST], [prev_year#120, year#121, i_brand_id#8, i_class_id#9, i_category_id#10, i_manufact_id#12, prev_yr_cnt#122, curr_yr_cnt#123, sales_cnt_diff#124, sales_amt_diff#125]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#5 IN dynamicpruning#6
BroadcastExchange (129)
+- * ColumnarToRow (128)
   +- CometFilter (127)
      +- CometScan parquet spark_catalog.default.date_dim (126)


(126) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#13, d_year#14]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(127) CometFilter
Input [2]: [d_date_sk#13, d_year#14]
Condition : ((isnotnull(d_year#14) AND (d_year#14 = 2002)) AND isnotnull(d_date_sk#13))

(128) ColumnarToRow [codegen id : 1]
Input [2]: [d_date_sk#13, d_year#14]

(129) BroadcastExchange
Input [2]: [d_date_sk#13, d_year#14]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=16]

Subquery:2 Hosting operator id = 23 Hosting Expression = ss_sold_date_sk#26 IN dynamicpruning#6

Subquery:3 Hosting operator id = 40 Hosting Expression = ws_sold_date_sk#46 IN dynamicpruning#6

Subquery:4 Hosting operator id = 68 Hosting Expression = cs_sold_date_sk#70 IN dynamicpruning#71
BroadcastExchange (133)
+- * ColumnarToRow (132)
   +- CometFilter (131)
      +- CometScan parquet spark_catalog.default.date_dim (130)


(130) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#77, d_year#78]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(131) CometFilter
Input [2]: [d_date_sk#77, d_year#78]
Condition : ((isnotnull(d_year#78) AND (d_year#78 = 2001)) AND isnotnull(d_date_sk#77))

(132) ColumnarToRow [codegen id : 1]
Input [2]: [d_date_sk#77, d_year#78]

(133) BroadcastExchange
Input [2]: [d_date_sk#77, d_year#78]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=17]

Subquery:5 Hosting operator id = 84 Hosting Expression = ss_sold_date_sk#87 IN dynamicpruning#71

Subquery:6 Hosting operator id = 98 Hosting Expression = ws_sold_date_sk#104 IN dynamicpruning#71


