== Physical Plan ==
VeloxColumnarToRow (242)
+- TakeOrderedAndProjectExecTransformer (241)
   +- ColumnarUnion (240)
      :- ^ RegularHashAggregateExecTransformer (57)
      :  +- ^ InputIteratorTransformer (56)
      :     +- ColumnarExchange (54)
      :        +- VeloxResizeBatches (53)
      :           +- ^ ProjectExecTransformer (51)
      :              +- ^ FlushableHashAggregateExecTransformer (50)
      :                 +- ^ ProjectExecTransformer (49)
      :                    +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (48)
      :                       :- ^ ProjectExecTransformer (41)
      :                       :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (40)
      :                       :     :- ^ ProjectExecTransformer (36)
      :                       :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (35)
      :                       :     :     :- ^ ProjectExecTransformer (28)
      :                       :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (27)
      :                       :     :     :     :- ^ ProjectExecTransformer (20)
      :                       :     :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (19)
      :                       :     :     :     :     :- ^ ProjectExecTransformer (11)
      :                       :     :     :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (10)
      :                       :     :     :     :     :     :- ^ FilterExecTransformer (2)
      :                       :     :     :     :     :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales (1)
      :                       :     :     :     :     :     +- ^ InputIteratorTransformer (9)
      :                       :     :     :     :     :        +- ColumnarBroadcastExchange (7)
      :                       :     :     :     :     :           +- ^ ProjectExecTransformer (5)
      :                       :     :     :     :     :              +- ^ FilterExecTransformer (4)
      :                       :     :     :     :     :                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_demographics (3)
      :                       :     :     :     :     +- ^ InputIteratorTransformer (18)
      :                       :     :     :     :        +- ColumnarBroadcastExchange (16)
      :                       :     :     :     :           +- ^ ProjectExecTransformer (14)
      :                       :     :     :     :              +- ^ FilterExecTransformer (13)
      :                       :     :     :     :                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer (12)
      :                       :     :     :     +- ^ InputIteratorTransformer (26)
      :                       :     :     :        +- ColumnarBroadcastExchange (24)
      :                       :     :     :           +- ^ FilterExecTransformer (22)
      :                       :     :     :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_demographics (21)
      :                       :     :     +- ^ InputIteratorTransformer (34)
      :                       :     :        +- ColumnarBroadcastExchange (32)
      :                       :     :           +- ^ FilterExecTransformer (30)
      :                       :     :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (29)
      :                       :     +- ^ InputIteratorTransformer (39)
      :                       :        +- ReusedExchange (37)
      :                       +- ^ InputIteratorTransformer (47)
      :                          +- ColumnarBroadcastExchange (45)
      :                             +- ^ FilterExecTransformer (43)
      :                                +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (42)
      :- ^ ProjectExecTransformer (102)
      :  +- ^ RegularHashAggregateExecTransformer (101)
      :     +- ^ InputIteratorTransformer (100)
      :        +- ColumnarExchange (98)
      :           +- VeloxResizeBatches (97)
      :              +- ^ ProjectExecTransformer (95)
      :                 +- ^ FlushableHashAggregateExecTransformer (94)
      :                    +- ^ ProjectExecTransformer (93)
      :                       +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (92)
      :                          :- ^ ProjectExecTransformer (88)
      :                          :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (87)
      :                          :     :- ^ ProjectExecTransformer (83)
      :                          :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (82)
      :                          :     :     :- ^ ProjectExecTransformer (75)
      :                          :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (74)
      :                          :     :     :     :- ^ ProjectExecTransformer (70)
      :                          :     :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (69)
      :                          :     :     :     :     :- ^ ProjectExecTransformer (65)
      :                          :     :     :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (64)
      :                          :     :     :     :     :     :- ^ FilterExecTransformer (60)
      :                          :     :     :     :     :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales (59)
      :                          :     :     :     :     :     +- ^ InputIteratorTransformer (63)
      :                          :     :     :     :     :        +- ReusedExchange (61)
      :                          :     :     :     :     +- ^ InputIteratorTransformer (68)
      :                          :     :     :     :        +- ReusedExchange (66)
      :                          :     :     :     +- ^ InputIteratorTransformer (73)
      :                          :     :     :        +- ReusedExchange (71)
      :                          :     :     +- ^ InputIteratorTransformer (81)
      :                          :     :        +- ColumnarBroadcastExchange (79)
      :                          :     :           +- ^ FilterExecTransformer (77)
      :                          :     :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (76)
      :                          :     +- ^ InputIteratorTransformer (86)
      :                          :        +- ReusedExchange (84)
      :                          +- ^ InputIteratorTransformer (91)
      :                             +- ReusedExchange (89)
      :- ^ ProjectExecTransformer (148)
      :  +- ^ RegularHashAggregateExecTransformer (147)
      :     +- ^ InputIteratorTransformer (146)
      :        +- ColumnarExchange (144)
      :           +- VeloxResizeBatches (143)
      :              +- ^ ProjectExecTransformer (141)
      :                 +- ^ FlushableHashAggregateExecTransformer (140)
      :                    +- ^ ProjectExecTransformer (139)
      :                       +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (138)
      :                          :- ^ ProjectExecTransformer (134)
      :                          :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (133)
      :                          :     :- ^ ProjectExecTransformer (129)
      :                          :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (128)
      :                          :     :     :- ^ ProjectExecTransformer (120)
      :                          :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (119)
      :                          :     :     :     :- ^ ProjectExecTransformer (115)
      :                          :     :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (114)
      :                          :     :     :     :     :- ^ ProjectExecTransformer (110)
      :                          :     :     :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (109)
      :                          :     :     :     :     :     :- ^ FilterExecTransformer (105)
      :                          :     :     :     :     :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales (104)
      :                          :     :     :     :     :     +- ^ InputIteratorTransformer (108)
      :                          :     :     :     :     :        +- ReusedExchange (106)
      :                          :     :     :     :     +- ^ InputIteratorTransformer (113)
      :                          :     :     :     :        +- ReusedExchange (111)
      :                          :     :     :     +- ^ InputIteratorTransformer (118)
      :                          :     :     :        +- ReusedExchange (116)
      :                          :     :     +- ^ InputIteratorTransformer (127)
      :                          :     :        +- ColumnarBroadcastExchange (125)
      :                          :     :           +- ^ ProjectExecTransformer (123)
      :                          :     :              +- ^ FilterExecTransformer (122)
      :                          :     :                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (121)
      :                          :     +- ^ InputIteratorTransformer (132)
      :                          :        +- ReusedExchange (130)
      :                          +- ^ InputIteratorTransformer (137)
      :                             +- ReusedExchange (135)
      :- ^ ProjectExecTransformer (194)
      :  +- ^ RegularHashAggregateExecTransformer (193)
      :     +- ^ InputIteratorTransformer (192)
      :        +- ColumnarExchange (190)
      :           +- VeloxResizeBatches (189)
      :              +- ^ ProjectExecTransformer (187)
      :                 +- ^ FlushableHashAggregateExecTransformer (186)
      :                    +- ^ ProjectExecTransformer (185)
      :                       +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (184)
      :                          :- ^ ProjectExecTransformer (180)
      :                          :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (179)
      :                          :     :- ^ ProjectExecTransformer (175)
      :                          :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (174)
      :                          :     :     :- ^ ProjectExecTransformer (166)
      :                          :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (165)
      :                          :     :     :     :- ^ ProjectExecTransformer (161)
      :                          :     :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (160)
      :                          :     :     :     :     :- ^ ProjectExecTransformer (156)
      :                          :     :     :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (155)
      :                          :     :     :     :     :     :- ^ FilterExecTransformer (151)
      :                          :     :     :     :     :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales (150)
      :                          :     :     :     :     :     +- ^ InputIteratorTransformer (154)
      :                          :     :     :     :     :        +- ReusedExchange (152)
      :                          :     :     :     :     +- ^ InputIteratorTransformer (159)
      :                          :     :     :     :        +- ReusedExchange (157)
      :                          :     :     :     +- ^ InputIteratorTransformer (164)
      :                          :     :     :        +- ReusedExchange (162)
      :                          :     :     +- ^ InputIteratorTransformer (173)
      :                          :     :        +- ColumnarBroadcastExchange (171)
      :                          :     :           +- ^ ProjectExecTransformer (169)
      :                          :     :              +- ^ FilterExecTransformer (168)
      :                          :     :                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (167)
      :                          :     +- ^ InputIteratorTransformer (178)
      :                          :        +- ReusedExchange (176)
      :                          +- ^ InputIteratorTransformer (183)
      :                             +- ReusedExchange (181)
      +- ^ ProjectExecTransformer (238)
         +- ^ RegularHashAggregateExecTransformer (237)
            +- ^ InputIteratorTransformer (236)
               +- ColumnarExchange (234)
                  +- VeloxResizeBatches (233)
                     +- ^ FlushableHashAggregateExecTransformer (231)
                        +- ^ ProjectExecTransformer (230)
                           +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (229)
                              :- ^ ProjectExecTransformer (222)
                              :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (221)
                              :     :- ^ ProjectExecTransformer (217)
                              :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (216)
                              :     :     :- ^ ProjectExecTransformer (212)
                              :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (211)
                              :     :     :     :- ^ ProjectExecTransformer (207)
                              :     :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (206)
                              :     :     :     :     :- ^ ProjectExecTransformer (202)
                              :     :     :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (201)
                              :     :     :     :     :     :- ^ FilterExecTransformer (197)
                              :     :     :     :     :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales (196)
                              :     :     :     :     :     +- ^ InputIteratorTransformer (200)
                              :     :     :     :     :        +- ReusedExchange (198)
                              :     :     :     :     +- ^ InputIteratorTransformer (205)
                              :     :     :     :        +- ReusedExchange (203)
                              :     :     :     +- ^ InputIteratorTransformer (210)
                              :     :     :        +- ReusedExchange (208)
                              :     :     +- ^ InputIteratorTransformer (215)
                              :     :        +- ReusedExchange (213)
                              :     +- ^ InputIteratorTransformer (220)
                              :        +- ReusedExchange (218)
                              +- ^ InputIteratorTransformer (228)
                                 +- ColumnarBroadcastExchange (226)
                                    +- ^ FilterExecTransformer (224)
                                       +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (223)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales
Output [9]: [cs_bill_customer_sk#1, cs_bill_cdemo_sk#2, cs_item_sk#3, cs_quantity#4, cs_list_price#5, cs_sales_price#6, cs_coupon_amt#7, cs_net_profit#8, cs_sold_date_sk#9]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#9), dynamicpruningexpression(cs_sold_date_sk#9 IN dynamicpruning#10)]
PushedFilters: [IsNotNull(cs_bill_cdemo_sk), IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)]
ReadSchema: struct<cs_bill_customer_sk:int,cs_bill_cdemo_sk:int,cs_item_sk:int,cs_quantity:int,cs_list_price:decimal(7,2),cs_sales_price:decimal(7,2),cs_coupon_amt:decimal(7,2),cs_net_profit:decimal(7,2)>

(2) FilterExecTransformer
Input [9]: [cs_bill_customer_sk#1, cs_bill_cdemo_sk#2, cs_item_sk#3, cs_quantity#4, cs_list_price#5, cs_sales_price#6, cs_coupon_amt#7, cs_net_profit#8, cs_sold_date_sk#9]
Arguments: ((isnotnull(cs_bill_cdemo_sk#2) AND isnotnull(cs_bill_customer_sk#1)) AND isnotnull(cs_item_sk#3))

(3) FileSourceScanExecTransformer parquet spark_catalog.default.customer_demographics
Output [4]: [cd_demo_sk#11, cd_gender#12, cd_education_status#13, cd_dep_count#14]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer_demographics]
PushedFilters: [IsNotNull(cd_gender), IsNotNull(cd_education_status), EqualTo(cd_gender,M), EqualTo(cd_education_status,College             ), IsNotNull(cd_demo_sk)]
ReadSchema: struct<cd_demo_sk:int,cd_gender:string,cd_education_status:string,cd_dep_count:int>

(4) FilterExecTransformer
Input [4]: [cd_demo_sk#11, cd_gender#12, cd_education_status#13, cd_dep_count#14]
Arguments: ((((isnotnull(cd_gender#12) AND isnotnull(cd_education_status#13)) AND (cd_gender#12 = M)) AND (cd_education_status#13 = College             )) AND isnotnull(cd_demo_sk#11))

(5) ProjectExecTransformer
Output [2]: [cd_demo_sk#11, cd_dep_count#14]
Input [4]: [cd_demo_sk#11, cd_gender#12, cd_education_status#13, cd_dep_count#14]

(6) WholeStageCodegenTransformer (2)
Input [2]: [cd_demo_sk#11, cd_dep_count#14]
Arguments: false

(7) ColumnarBroadcastExchange
Input [2]: [cd_demo_sk#11, cd_dep_count#14]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=1]

(8) InputAdapter
Input [2]: [cd_demo_sk#11, cd_dep_count#14]

(9) InputIteratorTransformer
Input [2]: [cd_demo_sk#11, cd_dep_count#14]

(10) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_bill_cdemo_sk#2]
Right keys [1]: [cd_demo_sk#11]
Join type: Inner
Join condition: None

(11) ProjectExecTransformer
Output [9]: [cs_bill_customer_sk#1, cs_item_sk#3, cs_quantity#4, cs_list_price#5, cs_sales_price#6, cs_coupon_amt#7, cs_net_profit#8, cs_sold_date_sk#9, cd_dep_count#14]
Input [11]: [cs_bill_customer_sk#1, cs_bill_cdemo_sk#2, cs_item_sk#3, cs_quantity#4, cs_list_price#5, cs_sales_price#6, cs_coupon_amt#7, cs_net_profit#8, cs_sold_date_sk#9, cd_demo_sk#11, cd_dep_count#14]

(12) FileSourceScanExecTransformer parquet spark_catalog.default.customer
Output [5]: [c_customer_sk#15, c_current_cdemo_sk#16, c_current_addr_sk#17, c_birth_month#18, c_birth_year#19]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer]
PushedFilters: [In(c_birth_month, [1,10,12,4,5,9]), IsNotNull(c_customer_sk), IsNotNull(c_current_cdemo_sk), IsNotNull(c_current_addr_sk)]
ReadSchema: struct<c_customer_sk:int,c_current_cdemo_sk:int,c_current_addr_sk:int,c_birth_month:int,c_birth_year:int>

(13) FilterExecTransformer
Input [5]: [c_customer_sk#15, c_current_cdemo_sk#16, c_current_addr_sk#17, c_birth_month#18, c_birth_year#19]
Arguments: (((c_birth_month#18 IN (9,5,12,4,1,10) AND isnotnull(c_customer_sk#15)) AND isnotnull(c_current_cdemo_sk#16)) AND isnotnull(c_current_addr_sk#17))

(14) ProjectExecTransformer
Output [4]: [c_customer_sk#15, c_current_cdemo_sk#16, c_current_addr_sk#17, c_birth_year#19]
Input [5]: [c_customer_sk#15, c_current_cdemo_sk#16, c_current_addr_sk#17, c_birth_month#18, c_birth_year#19]

(15) WholeStageCodegenTransformer (3)
Input [4]: [c_customer_sk#15, c_current_cdemo_sk#16, c_current_addr_sk#17, c_birth_year#19]
Arguments: false

(16) ColumnarBroadcastExchange
Input [4]: [c_customer_sk#15, c_current_cdemo_sk#16, c_current_addr_sk#17, c_birth_year#19]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]

(17) InputAdapter
Input [4]: [c_customer_sk#15, c_current_cdemo_sk#16, c_current_addr_sk#17, c_birth_year#19]

(18) InputIteratorTransformer
Input [4]: [c_customer_sk#15, c_current_cdemo_sk#16, c_current_addr_sk#17, c_birth_year#19]

(19) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_bill_customer_sk#1]
Right keys [1]: [c_customer_sk#15]
Join type: Inner
Join condition: None

(20) ProjectExecTransformer
Output [11]: [cs_item_sk#3, cs_quantity#4, cs_list_price#5, cs_sales_price#6, cs_coupon_amt#7, cs_net_profit#8, cs_sold_date_sk#9, cd_dep_count#14, c_current_cdemo_sk#16, c_current_addr_sk#17, c_birth_year#19]
Input [13]: [cs_bill_customer_sk#1, cs_item_sk#3, cs_quantity#4, cs_list_price#5, cs_sales_price#6, cs_coupon_amt#7, cs_net_profit#8, cs_sold_date_sk#9, cd_dep_count#14, c_customer_sk#15, c_current_cdemo_sk#16, c_current_addr_sk#17, c_birth_year#19]

(21) FileSourceScanExecTransformer parquet spark_catalog.default.customer_demographics
Output [1]: [cd_demo_sk#20]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer_demographics]
PushedFilters: [IsNotNull(cd_demo_sk)]
ReadSchema: struct<cd_demo_sk:int>

(22) FilterExecTransformer
Input [1]: [cd_demo_sk#20]
Arguments: isnotnull(cd_demo_sk#20)

(23) WholeStageCodegenTransformer (4)
Input [1]: [cd_demo_sk#20]
Arguments: false

(24) ColumnarBroadcastExchange
Input [1]: [cd_demo_sk#20]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3]

(25) InputAdapter
Input [1]: [cd_demo_sk#20]

(26) InputIteratorTransformer
Input [1]: [cd_demo_sk#20]

(27) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_cdemo_sk#16]
Right keys [1]: [cd_demo_sk#20]
Join type: Inner
Join condition: None

(28) ProjectExecTransformer
Output [10]: [cs_item_sk#3, cs_quantity#4, cs_list_price#5, cs_sales_price#6, cs_coupon_amt#7, cs_net_profit#8, cs_sold_date_sk#9, cd_dep_count#14, c_current_addr_sk#17, c_birth_year#19]
Input [12]: [cs_item_sk#3, cs_quantity#4, cs_list_price#5, cs_sales_price#6, cs_coupon_amt#7, cs_net_profit#8, cs_sold_date_sk#9, cd_dep_count#14, c_current_cdemo_sk#16, c_current_addr_sk#17, c_birth_year#19, cd_demo_sk#20]

(29) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [4]: [ca_address_sk#21, ca_county#22, ca_state#23, ca_country#24]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer_address]
PushedFilters: [In(ca_state, [AL,MS,NC,ND,OK,TN,WI]), IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_county:string,ca_state:string,ca_country:string>

(30) FilterExecTransformer
Input [4]: [ca_address_sk#21, ca_county#22, ca_state#23, ca_country#24]
Arguments: (ca_state#23 IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#21))

(31) WholeStageCodegenTransformer (5)
Input [4]: [ca_address_sk#21, ca_county#22, ca_state#23, ca_country#24]
Arguments: false

(32) ColumnarBroadcastExchange
Input [4]: [ca_address_sk#21, ca_county#22, ca_state#23, ca_country#24]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=4]

(33) InputAdapter
Input [4]: [ca_address_sk#21, ca_county#22, ca_state#23, ca_country#24]

(34) InputIteratorTransformer
Input [4]: [ca_address_sk#21, ca_county#22, ca_state#23, ca_country#24]

(35) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_addr_sk#17]
Right keys [1]: [ca_address_sk#21]
Join type: Inner
Join condition: None

(36) ProjectExecTransformer
Output [12]: [cs_item_sk#3, cs_quantity#4, cs_list_price#5, cs_sales_price#6, cs_coupon_amt#7, cs_net_profit#8, cs_sold_date_sk#9, cd_dep_count#14, c_birth_year#19, ca_county#22, ca_state#23, ca_country#24]
Input [14]: [cs_item_sk#3, cs_quantity#4, cs_list_price#5, cs_sales_price#6, cs_coupon_amt#7, cs_net_profit#8, cs_sold_date_sk#9, cd_dep_count#14, c_current_addr_sk#17, c_birth_year#19, ca_address_sk#21, ca_county#22, ca_state#23, ca_country#24]

(37) ReusedExchange [Reuses operator id: 247]
Output [1]: [d_date_sk#25]

(38) InputAdapter
Input [1]: [d_date_sk#25]

(39) InputIteratorTransformer
Input [1]: [d_date_sk#25]

(40) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_sold_date_sk#9]
Right keys [1]: [d_date_sk#25]
Join type: Inner
Join condition: None

(41) ProjectExecTransformer
Output [11]: [cs_item_sk#3, cs_quantity#4, cs_list_price#5, cs_sales_price#6, cs_coupon_amt#7, cs_net_profit#8, cd_dep_count#14, c_birth_year#19, ca_county#22, ca_state#23, ca_country#24]
Input [13]: [cs_item_sk#3, cs_quantity#4, cs_list_price#5, cs_sales_price#6, cs_coupon_amt#7, cs_net_profit#8, cs_sold_date_sk#9, cd_dep_count#14, c_birth_year#19, ca_county#22, ca_state#23, ca_country#24, d_date_sk#25]

(42) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [2]: [i_item_sk#26, i_item_id#27]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_item_id:string>

(43) FilterExecTransformer
Input [2]: [i_item_sk#26, i_item_id#27]
Arguments: isnotnull(i_item_sk#26)

(44) WholeStageCodegenTransformer (7)
Input [2]: [i_item_sk#26, i_item_id#27]
Arguments: false

(45) ColumnarBroadcastExchange
Input [2]: [i_item_sk#26, i_item_id#27]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5]

(46) InputAdapter
Input [2]: [i_item_sk#26, i_item_id#27]

(47) InputIteratorTransformer
Input [2]: [i_item_sk#26, i_item_id#27]

(48) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_item_sk#3]
Right keys [1]: [i_item_sk#26]
Join type: Inner
Join condition: None

(49) ProjectExecTransformer
Output [11]: [i_item_id#27, ca_country#24, ca_state#23, ca_county#22, cast(cs_quantity#4 as decimal(12,2)) AS agg1#28, cast(cs_list_price#5 as decimal(12,2)) AS agg2#29, cast(cs_coupon_amt#7 as decimal(12,2)) AS agg3#30, cast(cs_sales_price#6 as decimal(12,2)) AS agg4#31, cast(cs_net_profit#8 as decimal(12,2)) AS agg5#32, cast(c_birth_year#19 as decimal(12,2)) AS agg6#33, cast(cd_dep_count#14 as decimal(12,2)) AS agg7#34]
Input [13]: [cs_item_sk#3, cs_quantity#4, cs_list_price#5, cs_sales_price#6, cs_coupon_amt#7, cs_net_profit#8, cd_dep_count#14, c_birth_year#19, ca_county#22, ca_state#23, ca_country#24, i_item_sk#26, i_item_id#27]

(50) FlushableHashAggregateExecTransformer
Input [11]: [i_item_id#27, ca_country#24, ca_state#23, ca_county#22, agg1#28, agg2#29, agg3#30, agg4#31, agg5#32, agg6#33, agg7#34]
Keys [4]: [i_item_id#27, ca_country#24, ca_state#23, ca_county#22]
Functions [7]: [partial_avg(agg1#28), partial_avg(agg2#29), partial_avg(agg3#30), partial_avg(agg4#31), partial_avg(agg5#32), partial_avg(agg6#33), partial_avg(agg7#34)]
Aggregate Attributes [14]: [sum#35, count#36, sum#37, count#38, sum#39, count#40, sum#41, count#42, sum#43, count#44, sum#45, count#46, sum#47, count#48]
Results [18]: [i_item_id#27, ca_country#24, ca_state#23, ca_county#22, sum#49, count#50, sum#51, count#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62]

(51) ProjectExecTransformer
Output [19]: [hash(i_item_id#27, ca_country#24, ca_state#23, ca_county#22, 42) AS hash_partition_key#63, i_item_id#27, ca_country#24, ca_state#23, ca_county#22, sum#49, count#50, sum#51, count#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62]
Input [18]: [i_item_id#27, ca_country#24, ca_state#23, ca_county#22, sum#49, count#50, sum#51, count#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62]

(52) WholeStageCodegenTransformer (8)
Input [19]: [hash_partition_key#63, i_item_id#27, ca_country#24, ca_state#23, ca_county#22, sum#49, count#50, sum#51, count#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62]
Arguments: false

(53) VeloxResizeBatches
Input [19]: [hash_partition_key#63, i_item_id#27, ca_country#24, ca_state#23, ca_county#22, sum#49, count#50, sum#51, count#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62]
Arguments: 1024, 2147483647, 10485760

(54) ColumnarExchange
Input [19]: [hash_partition_key#63, i_item_id#27, ca_country#24, ca_state#23, ca_county#22, sum#49, count#50, sum#51, count#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62]
Arguments: hashpartitioning(i_item_id#27, ca_country#24, ca_state#23, ca_county#22, 1), ENSURE_REQUIREMENTS, [i_item_id#27, ca_country#24, ca_state#23, ca_county#22, sum#49, count#50, sum#51, count#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62], [plan_id=6], [shuffle_writer_type=hash]

(55) InputAdapter
Input [18]: [i_item_id#27, ca_country#24, ca_state#23, ca_county#22, sum#49, count#50, sum#51, count#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62]

(56) InputIteratorTransformer
Input [18]: [i_item_id#27, ca_country#24, ca_state#23, ca_county#22, sum#49, count#50, sum#51, count#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62]

(57) RegularHashAggregateExecTransformer
Input [18]: [i_item_id#27, ca_country#24, ca_state#23, ca_county#22, sum#49, count#50, sum#51, count#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62]
Keys [4]: [i_item_id#27, ca_country#24, ca_state#23, ca_county#22]
Functions [7]: [avg(agg1#28), avg(agg2#29), avg(agg3#30), avg(agg4#31), avg(agg5#32), avg(agg6#33), avg(agg7#34)]
Aggregate Attributes [7]: [avg(agg1#28)#64, avg(agg2#29)#65, avg(agg3#30)#66, avg(agg4#31)#67, avg(agg5#32)#68, avg(agg6#33)#69, avg(agg7#34)#70]
Results [11]: [i_item_id#27, ca_country#24, ca_state#23, ca_county#22, avg(agg1#28)#64 AS agg1#71, avg(agg2#29)#65 AS agg2#72, avg(agg3#30)#66 AS agg3#73, avg(agg4#31)#67 AS agg4#74, avg(agg5#32)#68 AS agg5#75, avg(agg6#33)#69 AS agg6#76, avg(agg7#34)#70 AS agg7#77]

(58) WholeStageCodegenTransformer (9)
Input [11]: [i_item_id#27, ca_country#24, ca_state#23, ca_county#22, agg1#71, agg2#72, agg3#73, agg4#74, agg5#75, agg6#76, agg7#77]
Arguments: false

(59) FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales
Output [9]: [cs_bill_customer_sk#78, cs_bill_cdemo_sk#79, cs_item_sk#80, cs_quantity#81, cs_list_price#82, cs_sales_price#83, cs_coupon_amt#84, cs_net_profit#85, cs_sold_date_sk#86]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#86), dynamicpruningexpression(cs_sold_date_sk#86 IN dynamicpruning#10)]
PushedFilters: [IsNotNull(cs_bill_cdemo_sk), IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)]
ReadSchema: struct<cs_bill_customer_sk:int,cs_bill_cdemo_sk:int,cs_item_sk:int,cs_quantity:int,cs_list_price:decimal(7,2),cs_sales_price:decimal(7,2),cs_coupon_amt:decimal(7,2),cs_net_profit:decimal(7,2)>

(60) FilterExecTransformer
Input [9]: [cs_bill_customer_sk#78, cs_bill_cdemo_sk#79, cs_item_sk#80, cs_quantity#81, cs_list_price#82, cs_sales_price#83, cs_coupon_amt#84, cs_net_profit#85, cs_sold_date_sk#86]
Arguments: ((isnotnull(cs_bill_cdemo_sk#79) AND isnotnull(cs_bill_customer_sk#78)) AND isnotnull(cs_item_sk#80))

(61) ReusedExchange [Reuses operator id: 7]
Output [2]: [cd_demo_sk#87, cd_dep_count#88]

(62) InputAdapter
Input [2]: [cd_demo_sk#87, cd_dep_count#88]

(63) InputIteratorTransformer
Input [2]: [cd_demo_sk#87, cd_dep_count#88]

(64) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_bill_cdemo_sk#79]
Right keys [1]: [cd_demo_sk#87]
Join type: Inner
Join condition: None

(65) ProjectExecTransformer
Output [9]: [cs_bill_customer_sk#78, cs_item_sk#80, cs_quantity#81, cs_list_price#82, cs_sales_price#83, cs_coupon_amt#84, cs_net_profit#85, cs_sold_date_sk#86, cd_dep_count#88]
Input [11]: [cs_bill_customer_sk#78, cs_bill_cdemo_sk#79, cs_item_sk#80, cs_quantity#81, cs_list_price#82, cs_sales_price#83, cs_coupon_amt#84, cs_net_profit#85, cs_sold_date_sk#86, cd_demo_sk#87, cd_dep_count#88]

(66) ReusedExchange [Reuses operator id: 16]
Output [4]: [c_customer_sk#89, c_current_cdemo_sk#90, c_current_addr_sk#91, c_birth_year#92]

(67) InputAdapter
Input [4]: [c_customer_sk#89, c_current_cdemo_sk#90, c_current_addr_sk#91, c_birth_year#92]

(68) InputIteratorTransformer
Input [4]: [c_customer_sk#89, c_current_cdemo_sk#90, c_current_addr_sk#91, c_birth_year#92]

(69) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_bill_customer_sk#78]
Right keys [1]: [c_customer_sk#89]
Join type: Inner
Join condition: None

(70) ProjectExecTransformer
Output [11]: [cs_item_sk#80, cs_quantity#81, cs_list_price#82, cs_sales_price#83, cs_coupon_amt#84, cs_net_profit#85, cs_sold_date_sk#86, cd_dep_count#88, c_current_cdemo_sk#90, c_current_addr_sk#91, c_birth_year#92]
Input [13]: [cs_bill_customer_sk#78, cs_item_sk#80, cs_quantity#81, cs_list_price#82, cs_sales_price#83, cs_coupon_amt#84, cs_net_profit#85, cs_sold_date_sk#86, cd_dep_count#88, c_customer_sk#89, c_current_cdemo_sk#90, c_current_addr_sk#91, c_birth_year#92]

(71) ReusedExchange [Reuses operator id: 24]
Output [1]: [cd_demo_sk#93]

(72) InputAdapter
Input [1]: [cd_demo_sk#93]

(73) InputIteratorTransformer
Input [1]: [cd_demo_sk#93]

(74) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_cdemo_sk#90]
Right keys [1]: [cd_demo_sk#93]
Join type: Inner
Join condition: None

(75) ProjectExecTransformer
Output [10]: [cs_item_sk#80, cs_quantity#81, cs_list_price#82, cs_sales_price#83, cs_coupon_amt#84, cs_net_profit#85, cs_sold_date_sk#86, cd_dep_count#88, c_current_addr_sk#91, c_birth_year#92]
Input [12]: [cs_item_sk#80, cs_quantity#81, cs_list_price#82, cs_sales_price#83, cs_coupon_amt#84, cs_net_profit#85, cs_sold_date_sk#86, cd_dep_count#88, c_current_cdemo_sk#90, c_current_addr_sk#91, c_birth_year#92, cd_demo_sk#93]

(76) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [3]: [ca_address_sk#94, ca_state#95, ca_country#96]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer_address]
PushedFilters: [In(ca_state, [AL,MS,NC,ND,OK,TN,WI]), IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_state:string,ca_country:string>

(77) FilterExecTransformer
Input [3]: [ca_address_sk#94, ca_state#95, ca_country#96]
Arguments: (ca_state#95 IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#94))

(78) WholeStageCodegenTransformer (14)
Input [3]: [ca_address_sk#94, ca_state#95, ca_country#96]
Arguments: false

(79) ColumnarBroadcastExchange
Input [3]: [ca_address_sk#94, ca_state#95, ca_country#96]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7]

(80) InputAdapter
Input [3]: [ca_address_sk#94, ca_state#95, ca_country#96]

(81) InputIteratorTransformer
Input [3]: [ca_address_sk#94, ca_state#95, ca_country#96]

(82) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_addr_sk#91]
Right keys [1]: [ca_address_sk#94]
Join type: Inner
Join condition: None

(83) ProjectExecTransformer
Output [11]: [cs_item_sk#80, cs_quantity#81, cs_list_price#82, cs_sales_price#83, cs_coupon_amt#84, cs_net_profit#85, cs_sold_date_sk#86, cd_dep_count#88, c_birth_year#92, ca_state#95, ca_country#96]
Input [13]: [cs_item_sk#80, cs_quantity#81, cs_list_price#82, cs_sales_price#83, cs_coupon_amt#84, cs_net_profit#85, cs_sold_date_sk#86, cd_dep_count#88, c_current_addr_sk#91, c_birth_year#92, ca_address_sk#94, ca_state#95, ca_country#96]

(84) ReusedExchange [Reuses operator id: 247]
Output [1]: [d_date_sk#97]

(85) InputAdapter
Input [1]: [d_date_sk#97]

(86) InputIteratorTransformer
Input [1]: [d_date_sk#97]

(87) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_sold_date_sk#86]
Right keys [1]: [d_date_sk#97]
Join type: Inner
Join condition: None

(88) ProjectExecTransformer
Output [10]: [cs_item_sk#80, cs_quantity#81, cs_list_price#82, cs_sales_price#83, cs_coupon_amt#84, cs_net_profit#85, cd_dep_count#88, c_birth_year#92, ca_state#95, ca_country#96]
Input [12]: [cs_item_sk#80, cs_quantity#81, cs_list_price#82, cs_sales_price#83, cs_coupon_amt#84, cs_net_profit#85, cs_sold_date_sk#86, cd_dep_count#88, c_birth_year#92, ca_state#95, ca_country#96, d_date_sk#97]

(89) ReusedExchange [Reuses operator id: 45]
Output [2]: [i_item_sk#98, i_item_id#99]

(90) InputAdapter
Input [2]: [i_item_sk#98, i_item_id#99]

(91) InputIteratorTransformer
Input [2]: [i_item_sk#98, i_item_id#99]

(92) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_item_sk#80]
Right keys [1]: [i_item_sk#98]
Join type: Inner
Join condition: None

(93) ProjectExecTransformer
Output [10]: [i_item_id#99, ca_country#96, ca_state#95, cast(cs_quantity#81 as decimal(12,2)) AS agg1#100, cast(cs_list_price#82 as decimal(12,2)) AS agg2#101, cast(cs_coupon_amt#84 as decimal(12,2)) AS agg3#102, cast(cs_sales_price#83 as decimal(12,2)) AS agg4#103, cast(cs_net_profit#85 as decimal(12,2)) AS agg5#104, cast(c_birth_year#92 as decimal(12,2)) AS agg6#105, cast(cd_dep_count#88 as decimal(12,2)) AS agg7#106]
Input [12]: [cs_item_sk#80, cs_quantity#81, cs_list_price#82, cs_sales_price#83, cs_coupon_amt#84, cs_net_profit#85, cd_dep_count#88, c_birth_year#92, ca_state#95, ca_country#96, i_item_sk#98, i_item_id#99]

(94) FlushableHashAggregateExecTransformer
Input [10]: [i_item_id#99, ca_country#96, ca_state#95, agg1#100, agg2#101, agg3#102, agg4#103, agg5#104, agg6#105, agg7#106]
Keys [3]: [i_item_id#99, ca_country#96, ca_state#95]
Functions [7]: [partial_avg(agg1#100), partial_avg(agg2#101), partial_avg(agg3#102), partial_avg(agg4#103), partial_avg(agg5#104), partial_avg(agg6#105), partial_avg(agg7#106)]
Aggregate Attributes [14]: [sum#107, count#108, sum#109, count#110, sum#111, count#112, sum#113, count#114, sum#115, count#116, sum#117, count#118, sum#119, count#120]
Results [17]: [i_item_id#99, ca_country#96, ca_state#95, sum#121, count#122, sum#123, count#124, sum#125, count#126, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134]

(95) ProjectExecTransformer
Output [18]: [hash(i_item_id#99, ca_country#96, ca_state#95, 42) AS hash_partition_key#135, i_item_id#99, ca_country#96, ca_state#95, sum#121, count#122, sum#123, count#124, sum#125, count#126, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134]
Input [17]: [i_item_id#99, ca_country#96, ca_state#95, sum#121, count#122, sum#123, count#124, sum#125, count#126, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134]

(96) WholeStageCodegenTransformer (17)
Input [18]: [hash_partition_key#135, i_item_id#99, ca_country#96, ca_state#95, sum#121, count#122, sum#123, count#124, sum#125, count#126, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134]
Arguments: false

(97) VeloxResizeBatches
Input [18]: [hash_partition_key#135, i_item_id#99, ca_country#96, ca_state#95, sum#121, count#122, sum#123, count#124, sum#125, count#126, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134]
Arguments: 1024, 2147483647, 10485760

(98) ColumnarExchange
Input [18]: [hash_partition_key#135, i_item_id#99, ca_country#96, ca_state#95, sum#121, count#122, sum#123, count#124, sum#125, count#126, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134]
Arguments: hashpartitioning(i_item_id#99, ca_country#96, ca_state#95, 1), ENSURE_REQUIREMENTS, [i_item_id#99, ca_country#96, ca_state#95, sum#121, count#122, sum#123, count#124, sum#125, count#126, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134], [plan_id=8], [shuffle_writer_type=hash]

(99) InputAdapter
Input [17]: [i_item_id#99, ca_country#96, ca_state#95, sum#121, count#122, sum#123, count#124, sum#125, count#126, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134]

(100) InputIteratorTransformer
Input [17]: [i_item_id#99, ca_country#96, ca_state#95, sum#121, count#122, sum#123, count#124, sum#125, count#126, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134]

(101) RegularHashAggregateExecTransformer
Input [17]: [i_item_id#99, ca_country#96, ca_state#95, sum#121, count#122, sum#123, count#124, sum#125, count#126, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134]
Keys [3]: [i_item_id#99, ca_country#96, ca_state#95]
Functions [7]: [avg(agg1#100), avg(agg2#101), avg(agg3#102), avg(agg4#103), avg(agg5#104), avg(agg6#105), avg(agg7#106)]
Aggregate Attributes [7]: [avg(agg1#100)#136, avg(agg2#101)#137, avg(agg3#102)#138, avg(agg4#103)#139, avg(agg5#104)#140, avg(agg6#105)#141, avg(agg7#106)#142]
Results [10]: [i_item_id#99, ca_country#96, ca_state#95, avg(agg1#100)#136, avg(agg2#101)#137, avg(agg3#102)#138, avg(agg4#103)#139, avg(agg5#104)#140, avg(agg6#105)#141, avg(agg7#106)#142]

(102) ProjectExecTransformer
Output [11]: [i_item_id#99, ca_country#96, ca_state#95, null AS county#143, avg(agg1#100)#136 AS agg1#144, avg(agg2#101)#137 AS agg2#145, avg(agg3#102)#138 AS agg3#146, avg(agg4#103)#139 AS agg4#147, avg(agg5#104)#140 AS agg5#148, avg(agg6#105)#141 AS agg6#149, avg(agg7#106)#142 AS agg7#150]
Input [10]: [i_item_id#99, ca_country#96, ca_state#95, avg(agg1#100)#136, avg(agg2#101)#137, avg(agg3#102)#138, avg(agg4#103)#139, avg(agg5#104)#140, avg(agg6#105)#141, avg(agg7#106)#142]

(103) WholeStageCodegenTransformer (18)
Input [11]: [i_item_id#99, ca_country#96, ca_state#95, county#143, agg1#144, agg2#145, agg3#146, agg4#147, agg5#148, agg6#149, agg7#150]
Arguments: false

(104) FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales
Output [9]: [cs_bill_customer_sk#151, cs_bill_cdemo_sk#152, cs_item_sk#153, cs_quantity#154, cs_list_price#155, cs_sales_price#156, cs_coupon_amt#157, cs_net_profit#158, cs_sold_date_sk#159]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#159), dynamicpruningexpression(cs_sold_date_sk#159 IN dynamicpruning#10)]
PushedFilters: [IsNotNull(cs_bill_cdemo_sk), IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)]
ReadSchema: struct<cs_bill_customer_sk:int,cs_bill_cdemo_sk:int,cs_item_sk:int,cs_quantity:int,cs_list_price:decimal(7,2),cs_sales_price:decimal(7,2),cs_coupon_amt:decimal(7,2),cs_net_profit:decimal(7,2)>

(105) FilterExecTransformer
Input [9]: [cs_bill_customer_sk#151, cs_bill_cdemo_sk#152, cs_item_sk#153, cs_quantity#154, cs_list_price#155, cs_sales_price#156, cs_coupon_amt#157, cs_net_profit#158, cs_sold_date_sk#159]
Arguments: ((isnotnull(cs_bill_cdemo_sk#152) AND isnotnull(cs_bill_customer_sk#151)) AND isnotnull(cs_item_sk#153))

(106) ReusedExchange [Reuses operator id: 7]
Output [2]: [cd_demo_sk#160, cd_dep_count#161]

(107) InputAdapter
Input [2]: [cd_demo_sk#160, cd_dep_count#161]

(108) InputIteratorTransformer
Input [2]: [cd_demo_sk#160, cd_dep_count#161]

(109) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_bill_cdemo_sk#152]
Right keys [1]: [cd_demo_sk#160]
Join type: Inner
Join condition: None

(110) ProjectExecTransformer
Output [9]: [cs_bill_customer_sk#151, cs_item_sk#153, cs_quantity#154, cs_list_price#155, cs_sales_price#156, cs_coupon_amt#157, cs_net_profit#158, cs_sold_date_sk#159, cd_dep_count#161]
Input [11]: [cs_bill_customer_sk#151, cs_bill_cdemo_sk#152, cs_item_sk#153, cs_quantity#154, cs_list_price#155, cs_sales_price#156, cs_coupon_amt#157, cs_net_profit#158, cs_sold_date_sk#159, cd_demo_sk#160, cd_dep_count#161]

(111) ReusedExchange [Reuses operator id: 16]
Output [4]: [c_customer_sk#162, c_current_cdemo_sk#163, c_current_addr_sk#164, c_birth_year#165]

(112) InputAdapter
Input [4]: [c_customer_sk#162, c_current_cdemo_sk#163, c_current_addr_sk#164, c_birth_year#165]

(113) InputIteratorTransformer
Input [4]: [c_customer_sk#162, c_current_cdemo_sk#163, c_current_addr_sk#164, c_birth_year#165]

(114) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_bill_customer_sk#151]
Right keys [1]: [c_customer_sk#162]
Join type: Inner
Join condition: None

(115) ProjectExecTransformer
Output [11]: [cs_item_sk#153, cs_quantity#154, cs_list_price#155, cs_sales_price#156, cs_coupon_amt#157, cs_net_profit#158, cs_sold_date_sk#159, cd_dep_count#161, c_current_cdemo_sk#163, c_current_addr_sk#164, c_birth_year#165]
Input [13]: [cs_bill_customer_sk#151, cs_item_sk#153, cs_quantity#154, cs_list_price#155, cs_sales_price#156, cs_coupon_amt#157, cs_net_profit#158, cs_sold_date_sk#159, cd_dep_count#161, c_customer_sk#162, c_current_cdemo_sk#163, c_current_addr_sk#164, c_birth_year#165]

(116) ReusedExchange [Reuses operator id: 24]
Output [1]: [cd_demo_sk#166]

(117) InputAdapter
Input [1]: [cd_demo_sk#166]

(118) InputIteratorTransformer
Input [1]: [cd_demo_sk#166]

(119) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_cdemo_sk#163]
Right keys [1]: [cd_demo_sk#166]
Join type: Inner
Join condition: None

(120) ProjectExecTransformer
Output [10]: [cs_item_sk#153, cs_quantity#154, cs_list_price#155, cs_sales_price#156, cs_coupon_amt#157, cs_net_profit#158, cs_sold_date_sk#159, cd_dep_count#161, c_current_addr_sk#164, c_birth_year#165]
Input [12]: [cs_item_sk#153, cs_quantity#154, cs_list_price#155, cs_sales_price#156, cs_coupon_amt#157, cs_net_profit#158, cs_sold_date_sk#159, cd_dep_count#161, c_current_cdemo_sk#163, c_current_addr_sk#164, c_birth_year#165, cd_demo_sk#166]

(121) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [3]: [ca_address_sk#167, ca_state#168, ca_country#169]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer_address]
PushedFilters: [In(ca_state, [AL,MS,NC,ND,OK,TN,WI]), IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_state:string,ca_country:string>

(122) FilterExecTransformer
Input [3]: [ca_address_sk#167, ca_state#168, ca_country#169]
Arguments: (ca_state#168 IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#167))

(123) ProjectExecTransformer
Output [2]: [ca_address_sk#167, ca_country#169]
Input [3]: [ca_address_sk#167, ca_state#168, ca_country#169]

(124) WholeStageCodegenTransformer (23)
Input [2]: [ca_address_sk#167, ca_country#169]
Arguments: false

(125) ColumnarBroadcastExchange
Input [2]: [ca_address_sk#167, ca_country#169]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9]

(126) InputAdapter
Input [2]: [ca_address_sk#167, ca_country#169]

(127) InputIteratorTransformer
Input [2]: [ca_address_sk#167, ca_country#169]

(128) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_addr_sk#164]
Right keys [1]: [ca_address_sk#167]
Join type: Inner
Join condition: None

(129) ProjectExecTransformer
Output [10]: [cs_item_sk#153, cs_quantity#154, cs_list_price#155, cs_sales_price#156, cs_coupon_amt#157, cs_net_profit#158, cs_sold_date_sk#159, cd_dep_count#161, c_birth_year#165, ca_country#169]
Input [12]: [cs_item_sk#153, cs_quantity#154, cs_list_price#155, cs_sales_price#156, cs_coupon_amt#157, cs_net_profit#158, cs_sold_date_sk#159, cd_dep_count#161, c_current_addr_sk#164, c_birth_year#165, ca_address_sk#167, ca_country#169]

(130) ReusedExchange [Reuses operator id: 247]
Output [1]: [d_date_sk#170]

(131) InputAdapter
Input [1]: [d_date_sk#170]

(132) InputIteratorTransformer
Input [1]: [d_date_sk#170]

(133) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_sold_date_sk#159]
Right keys [1]: [d_date_sk#170]
Join type: Inner
Join condition: None

(134) ProjectExecTransformer
Output [9]: [cs_item_sk#153, cs_quantity#154, cs_list_price#155, cs_sales_price#156, cs_coupon_amt#157, cs_net_profit#158, cd_dep_count#161, c_birth_year#165, ca_country#169]
Input [11]: [cs_item_sk#153, cs_quantity#154, cs_list_price#155, cs_sales_price#156, cs_coupon_amt#157, cs_net_profit#158, cs_sold_date_sk#159, cd_dep_count#161, c_birth_year#165, ca_country#169, d_date_sk#170]

(135) ReusedExchange [Reuses operator id: 45]
Output [2]: [i_item_sk#171, i_item_id#172]

(136) InputAdapter
Input [2]: [i_item_sk#171, i_item_id#172]

(137) InputIteratorTransformer
Input [2]: [i_item_sk#171, i_item_id#172]

(138) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_item_sk#153]
Right keys [1]: [i_item_sk#171]
Join type: Inner
Join condition: None

(139) ProjectExecTransformer
Output [9]: [i_item_id#172, ca_country#169, cast(cs_quantity#154 as decimal(12,2)) AS agg1#173, cast(cs_list_price#155 as decimal(12,2)) AS agg2#174, cast(cs_coupon_amt#157 as decimal(12,2)) AS agg3#175, cast(cs_sales_price#156 as decimal(12,2)) AS agg4#176, cast(cs_net_profit#158 as decimal(12,2)) AS agg5#177, cast(c_birth_year#165 as decimal(12,2)) AS agg6#178, cast(cd_dep_count#161 as decimal(12,2)) AS agg7#179]
Input [11]: [cs_item_sk#153, cs_quantity#154, cs_list_price#155, cs_sales_price#156, cs_coupon_amt#157, cs_net_profit#158, cd_dep_count#161, c_birth_year#165, ca_country#169, i_item_sk#171, i_item_id#172]

(140) FlushableHashAggregateExecTransformer
Input [9]: [i_item_id#172, ca_country#169, agg1#173, agg2#174, agg3#175, agg4#176, agg5#177, agg6#178, agg7#179]
Keys [2]: [i_item_id#172, ca_country#169]
Functions [7]: [partial_avg(agg1#173), partial_avg(agg2#174), partial_avg(agg3#175), partial_avg(agg4#176), partial_avg(agg5#177), partial_avg(agg6#178), partial_avg(agg7#179)]
Aggregate Attributes [14]: [sum#180, count#181, sum#182, count#183, sum#184, count#185, sum#186, count#187, sum#188, count#189, sum#190, count#191, sum#192, count#193]
Results [16]: [i_item_id#172, ca_country#169, sum#194, count#195, sum#196, count#197, sum#198, count#199, sum#200, count#201, sum#202, count#203, sum#204, count#205, sum#206, count#207]

(141) ProjectExecTransformer
Output [17]: [hash(i_item_id#172, ca_country#169, 42) AS hash_partition_key#208, i_item_id#172, ca_country#169, sum#194, count#195, sum#196, count#197, sum#198, count#199, sum#200, count#201, sum#202, count#203, sum#204, count#205, sum#206, count#207]
Input [16]: [i_item_id#172, ca_country#169, sum#194, count#195, sum#196, count#197, sum#198, count#199, sum#200, count#201, sum#202, count#203, sum#204, count#205, sum#206, count#207]

(142) WholeStageCodegenTransformer (26)
Input [17]: [hash_partition_key#208, i_item_id#172, ca_country#169, sum#194, count#195, sum#196, count#197, sum#198, count#199, sum#200, count#201, sum#202, count#203, sum#204, count#205, sum#206, count#207]
Arguments: false

(143) VeloxResizeBatches
Input [17]: [hash_partition_key#208, i_item_id#172, ca_country#169, sum#194, count#195, sum#196, count#197, sum#198, count#199, sum#200, count#201, sum#202, count#203, sum#204, count#205, sum#206, count#207]
Arguments: 1024, 2147483647, 10485760

(144) ColumnarExchange
Input [17]: [hash_partition_key#208, i_item_id#172, ca_country#169, sum#194, count#195, sum#196, count#197, sum#198, count#199, sum#200, count#201, sum#202, count#203, sum#204, count#205, sum#206, count#207]
Arguments: hashpartitioning(i_item_id#172, ca_country#169, 1), ENSURE_REQUIREMENTS, [i_item_id#172, ca_country#169, sum#194, count#195, sum#196, count#197, sum#198, count#199, sum#200, count#201, sum#202, count#203, sum#204, count#205, sum#206, count#207], [plan_id=10], [shuffle_writer_type=hash]

(145) InputAdapter
Input [16]: [i_item_id#172, ca_country#169, sum#194, count#195, sum#196, count#197, sum#198, count#199, sum#200, count#201, sum#202, count#203, sum#204, count#205, sum#206, count#207]

(146) InputIteratorTransformer
Input [16]: [i_item_id#172, ca_country#169, sum#194, count#195, sum#196, count#197, sum#198, count#199, sum#200, count#201, sum#202, count#203, sum#204, count#205, sum#206, count#207]

(147) RegularHashAggregateExecTransformer
Input [16]: [i_item_id#172, ca_country#169, sum#194, count#195, sum#196, count#197, sum#198, count#199, sum#200, count#201, sum#202, count#203, sum#204, count#205, sum#206, count#207]
Keys [2]: [i_item_id#172, ca_country#169]
Functions [7]: [avg(agg1#173), avg(agg2#174), avg(agg3#175), avg(agg4#176), avg(agg5#177), avg(agg6#178), avg(agg7#179)]
Aggregate Attributes [7]: [avg(agg1#173)#209, avg(agg2#174)#210, avg(agg3#175)#211, avg(agg4#176)#212, avg(agg5#177)#213, avg(agg6#178)#214, avg(agg7#179)#215]
Results [9]: [i_item_id#172, ca_country#169, avg(agg1#173)#209, avg(agg2#174)#210, avg(agg3#175)#211, avg(agg4#176)#212, avg(agg5#177)#213, avg(agg6#178)#214, avg(agg7#179)#215]

(148) ProjectExecTransformer
Output [11]: [i_item_id#172, ca_country#169, null AS ca_state#216, null AS county#217, avg(agg1#173)#209 AS agg1#218, avg(agg2#174)#210 AS agg2#219, avg(agg3#175)#211 AS agg3#220, avg(agg4#176)#212 AS agg4#221, avg(agg5#177)#213 AS agg5#222, avg(agg6#178)#214 AS agg6#223, avg(agg7#179)#215 AS agg7#224]
Input [9]: [i_item_id#172, ca_country#169, avg(agg1#173)#209, avg(agg2#174)#210, avg(agg3#175)#211, avg(agg4#176)#212, avg(agg5#177)#213, avg(agg6#178)#214, avg(agg7#179)#215]

(149) WholeStageCodegenTransformer (27)
Input [11]: [i_item_id#172, ca_country#169, ca_state#216, county#217, agg1#218, agg2#219, agg3#220, agg4#221, agg5#222, agg6#223, agg7#224]
Arguments: false

(150) FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales
Output [9]: [cs_bill_customer_sk#225, cs_bill_cdemo_sk#226, cs_item_sk#227, cs_quantity#228, cs_list_price#229, cs_sales_price#230, cs_coupon_amt#231, cs_net_profit#232, cs_sold_date_sk#233]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#233), dynamicpruningexpression(cs_sold_date_sk#233 IN dynamicpruning#10)]
PushedFilters: [IsNotNull(cs_bill_cdemo_sk), IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)]
ReadSchema: struct<cs_bill_customer_sk:int,cs_bill_cdemo_sk:int,cs_item_sk:int,cs_quantity:int,cs_list_price:decimal(7,2),cs_sales_price:decimal(7,2),cs_coupon_amt:decimal(7,2),cs_net_profit:decimal(7,2)>

(151) FilterExecTransformer
Input [9]: [cs_bill_customer_sk#225, cs_bill_cdemo_sk#226, cs_item_sk#227, cs_quantity#228, cs_list_price#229, cs_sales_price#230, cs_coupon_amt#231, cs_net_profit#232, cs_sold_date_sk#233]
Arguments: ((isnotnull(cs_bill_cdemo_sk#226) AND isnotnull(cs_bill_customer_sk#225)) AND isnotnull(cs_item_sk#227))

(152) ReusedExchange [Reuses operator id: 7]
Output [2]: [cd_demo_sk#234, cd_dep_count#235]

(153) InputAdapter
Input [2]: [cd_demo_sk#234, cd_dep_count#235]

(154) InputIteratorTransformer
Input [2]: [cd_demo_sk#234, cd_dep_count#235]

(155) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_bill_cdemo_sk#226]
Right keys [1]: [cd_demo_sk#234]
Join type: Inner
Join condition: None

(156) ProjectExecTransformer
Output [9]: [cs_bill_customer_sk#225, cs_item_sk#227, cs_quantity#228, cs_list_price#229, cs_sales_price#230, cs_coupon_amt#231, cs_net_profit#232, cs_sold_date_sk#233, cd_dep_count#235]
Input [11]: [cs_bill_customer_sk#225, cs_bill_cdemo_sk#226, cs_item_sk#227, cs_quantity#228, cs_list_price#229, cs_sales_price#230, cs_coupon_amt#231, cs_net_profit#232, cs_sold_date_sk#233, cd_demo_sk#234, cd_dep_count#235]

(157) ReusedExchange [Reuses operator id: 16]
Output [4]: [c_customer_sk#236, c_current_cdemo_sk#237, c_current_addr_sk#238, c_birth_year#239]

(158) InputAdapter
Input [4]: [c_customer_sk#236, c_current_cdemo_sk#237, c_current_addr_sk#238, c_birth_year#239]

(159) InputIteratorTransformer
Input [4]: [c_customer_sk#236, c_current_cdemo_sk#237, c_current_addr_sk#238, c_birth_year#239]

(160) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_bill_customer_sk#225]
Right keys [1]: [c_customer_sk#236]
Join type: Inner
Join condition: None

(161) ProjectExecTransformer
Output [11]: [cs_item_sk#227, cs_quantity#228, cs_list_price#229, cs_sales_price#230, cs_coupon_amt#231, cs_net_profit#232, cs_sold_date_sk#233, cd_dep_count#235, c_current_cdemo_sk#237, c_current_addr_sk#238, c_birth_year#239]
Input [13]: [cs_bill_customer_sk#225, cs_item_sk#227, cs_quantity#228, cs_list_price#229, cs_sales_price#230, cs_coupon_amt#231, cs_net_profit#232, cs_sold_date_sk#233, cd_dep_count#235, c_customer_sk#236, c_current_cdemo_sk#237, c_current_addr_sk#238, c_birth_year#239]

(162) ReusedExchange [Reuses operator id: 24]
Output [1]: [cd_demo_sk#240]

(163) InputAdapter
Input [1]: [cd_demo_sk#240]

(164) InputIteratorTransformer
Input [1]: [cd_demo_sk#240]

(165) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_cdemo_sk#237]
Right keys [1]: [cd_demo_sk#240]
Join type: Inner
Join condition: None

(166) ProjectExecTransformer
Output [10]: [cs_item_sk#227, cs_quantity#228, cs_list_price#229, cs_sales_price#230, cs_coupon_amt#231, cs_net_profit#232, cs_sold_date_sk#233, cd_dep_count#235, c_current_addr_sk#238, c_birth_year#239]
Input [12]: [cs_item_sk#227, cs_quantity#228, cs_list_price#229, cs_sales_price#230, cs_coupon_amt#231, cs_net_profit#232, cs_sold_date_sk#233, cd_dep_count#235, c_current_cdemo_sk#237, c_current_addr_sk#238, c_birth_year#239, cd_demo_sk#240]

(167) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#241, ca_state#242]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer_address]
PushedFilters: [In(ca_state, [AL,MS,NC,ND,OK,TN,WI]), IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_state:string>

(168) FilterExecTransformer
Input [2]: [ca_address_sk#241, ca_state#242]
Arguments: (ca_state#242 IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#241))

(169) ProjectExecTransformer
Output [1]: [ca_address_sk#241]
Input [2]: [ca_address_sk#241, ca_state#242]

(170) WholeStageCodegenTransformer (32)
Input [1]: [ca_address_sk#241]
Arguments: false

(171) ColumnarBroadcastExchange
Input [1]: [ca_address_sk#241]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11]

(172) InputAdapter
Input [1]: [ca_address_sk#241]

(173) InputIteratorTransformer
Input [1]: [ca_address_sk#241]

(174) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_addr_sk#238]
Right keys [1]: [ca_address_sk#241]
Join type: Inner
Join condition: None

(175) ProjectExecTransformer
Output [9]: [cs_item_sk#227, cs_quantity#228, cs_list_price#229, cs_sales_price#230, cs_coupon_amt#231, cs_net_profit#232, cs_sold_date_sk#233, cd_dep_count#235, c_birth_year#239]
Input [11]: [cs_item_sk#227, cs_quantity#228, cs_list_price#229, cs_sales_price#230, cs_coupon_amt#231, cs_net_profit#232, cs_sold_date_sk#233, cd_dep_count#235, c_current_addr_sk#238, c_birth_year#239, ca_address_sk#241]

(176) ReusedExchange [Reuses operator id: 247]
Output [1]: [d_date_sk#243]

(177) InputAdapter
Input [1]: [d_date_sk#243]

(178) InputIteratorTransformer
Input [1]: [d_date_sk#243]

(179) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_sold_date_sk#233]
Right keys [1]: [d_date_sk#243]
Join type: Inner
Join condition: None

(180) ProjectExecTransformer
Output [8]: [cs_item_sk#227, cs_quantity#228, cs_list_price#229, cs_sales_price#230, cs_coupon_amt#231, cs_net_profit#232, cd_dep_count#235, c_birth_year#239]
Input [10]: [cs_item_sk#227, cs_quantity#228, cs_list_price#229, cs_sales_price#230, cs_coupon_amt#231, cs_net_profit#232, cs_sold_date_sk#233, cd_dep_count#235, c_birth_year#239, d_date_sk#243]

(181) ReusedExchange [Reuses operator id: 45]
Output [2]: [i_item_sk#244, i_item_id#245]

(182) InputAdapter
Input [2]: [i_item_sk#244, i_item_id#245]

(183) InputIteratorTransformer
Input [2]: [i_item_sk#244, i_item_id#245]

(184) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_item_sk#227]
Right keys [1]: [i_item_sk#244]
Join type: Inner
Join condition: None

(185) ProjectExecTransformer
Output [8]: [i_item_id#245, cast(cs_quantity#228 as decimal(12,2)) AS agg1#246, cast(cs_list_price#229 as decimal(12,2)) AS agg2#247, cast(cs_coupon_amt#231 as decimal(12,2)) AS agg3#248, cast(cs_sales_price#230 as decimal(12,2)) AS agg4#249, cast(cs_net_profit#232 as decimal(12,2)) AS agg5#250, cast(c_birth_year#239 as decimal(12,2)) AS agg6#251, cast(cd_dep_count#235 as decimal(12,2)) AS agg7#252]
Input [10]: [cs_item_sk#227, cs_quantity#228, cs_list_price#229, cs_sales_price#230, cs_coupon_amt#231, cs_net_profit#232, cd_dep_count#235, c_birth_year#239, i_item_sk#244, i_item_id#245]

(186) FlushableHashAggregateExecTransformer
Input [8]: [i_item_id#245, agg1#246, agg2#247, agg3#248, agg4#249, agg5#250, agg6#251, agg7#252]
Keys [1]: [i_item_id#245]
Functions [7]: [partial_avg(agg1#246), partial_avg(agg2#247), partial_avg(agg3#248), partial_avg(agg4#249), partial_avg(agg5#250), partial_avg(agg6#251), partial_avg(agg7#252)]
Aggregate Attributes [14]: [sum#253, count#254, sum#255, count#256, sum#257, count#258, sum#259, count#260, sum#261, count#262, sum#263, count#264, sum#265, count#266]
Results [15]: [i_item_id#245, sum#267, count#268, sum#269, count#270, sum#271, count#272, sum#273, count#274, sum#275, count#276, sum#277, count#278, sum#279, count#280]

(187) ProjectExecTransformer
Output [16]: [hash(i_item_id#245, 42) AS hash_partition_key#281, i_item_id#245, sum#267, count#268, sum#269, count#270, sum#271, count#272, sum#273, count#274, sum#275, count#276, sum#277, count#278, sum#279, count#280]
Input [15]: [i_item_id#245, sum#267, count#268, sum#269, count#270, sum#271, count#272, sum#273, count#274, sum#275, count#276, sum#277, count#278, sum#279, count#280]

(188) WholeStageCodegenTransformer (35)
Input [16]: [hash_partition_key#281, i_item_id#245, sum#267, count#268, sum#269, count#270, sum#271, count#272, sum#273, count#274, sum#275, count#276, sum#277, count#278, sum#279, count#280]
Arguments: false

(189) VeloxResizeBatches
Input [16]: [hash_partition_key#281, i_item_id#245, sum#267, count#268, sum#269, count#270, sum#271, count#272, sum#273, count#274, sum#275, count#276, sum#277, count#278, sum#279, count#280]
Arguments: 1024, 2147483647, 10485760

(190) ColumnarExchange
Input [16]: [hash_partition_key#281, i_item_id#245, sum#267, count#268, sum#269, count#270, sum#271, count#272, sum#273, count#274, sum#275, count#276, sum#277, count#278, sum#279, count#280]
Arguments: hashpartitioning(i_item_id#245, 1), ENSURE_REQUIREMENTS, [i_item_id#245, sum#267, count#268, sum#269, count#270, sum#271, count#272, sum#273, count#274, sum#275, count#276, sum#277, count#278, sum#279, count#280], [plan_id=12], [shuffle_writer_type=hash]

(191) InputAdapter
Input [15]: [i_item_id#245, sum#267, count#268, sum#269, count#270, sum#271, count#272, sum#273, count#274, sum#275, count#276, sum#277, count#278, sum#279, count#280]

(192) InputIteratorTransformer
Input [15]: [i_item_id#245, sum#267, count#268, sum#269, count#270, sum#271, count#272, sum#273, count#274, sum#275, count#276, sum#277, count#278, sum#279, count#280]

(193) RegularHashAggregateExecTransformer
Input [15]: [i_item_id#245, sum#267, count#268, sum#269, count#270, sum#271, count#272, sum#273, count#274, sum#275, count#276, sum#277, count#278, sum#279, count#280]
Keys [1]: [i_item_id#245]
Functions [7]: [avg(agg1#246), avg(agg2#247), avg(agg3#248), avg(agg4#249), avg(agg5#250), avg(agg6#251), avg(agg7#252)]
Aggregate Attributes [7]: [avg(agg1#246)#282, avg(agg2#247)#283, avg(agg3#248)#284, avg(agg4#249)#285, avg(agg5#250)#286, avg(agg6#251)#287, avg(agg7#252)#288]
Results [8]: [i_item_id#245, avg(agg1#246)#282, avg(agg2#247)#283, avg(agg3#248)#284, avg(agg4#249)#285, avg(agg5#250)#286, avg(agg6#251)#287, avg(agg7#252)#288]

(194) ProjectExecTransformer
Output [11]: [i_item_id#245, null AS ca_country#289, null AS ca_state#290, null AS county#291, avg(agg1#246)#282 AS agg1#292, avg(agg2#247)#283 AS agg2#293, avg(agg3#248)#284 AS agg3#294, avg(agg4#249)#285 AS agg4#295, avg(agg5#250)#286 AS agg5#296, avg(agg6#251)#287 AS agg6#297, avg(agg7#252)#288 AS agg7#298]
Input [8]: [i_item_id#245, avg(agg1#246)#282, avg(agg2#247)#283, avg(agg3#248)#284, avg(agg4#249)#285, avg(agg5#250)#286, avg(agg6#251)#287, avg(agg7#252)#288]

(195) WholeStageCodegenTransformer (36)
Input [11]: [i_item_id#245, ca_country#289, ca_state#290, county#291, agg1#292, agg2#293, agg3#294, agg4#295, agg5#296, agg6#297, agg7#298]
Arguments: false

(196) FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales
Output [9]: [cs_bill_customer_sk#299, cs_bill_cdemo_sk#300, cs_item_sk#301, cs_quantity#302, cs_list_price#303, cs_sales_price#304, cs_coupon_amt#305, cs_net_profit#306, cs_sold_date_sk#307]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#307), dynamicpruningexpression(cs_sold_date_sk#307 IN dynamicpruning#10)]
PushedFilters: [IsNotNull(cs_bill_cdemo_sk), IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)]
ReadSchema: struct<cs_bill_customer_sk:int,cs_bill_cdemo_sk:int,cs_item_sk:int,cs_quantity:int,cs_list_price:decimal(7,2),cs_sales_price:decimal(7,2),cs_coupon_amt:decimal(7,2),cs_net_profit:decimal(7,2)>

(197) FilterExecTransformer
Input [9]: [cs_bill_customer_sk#299, cs_bill_cdemo_sk#300, cs_item_sk#301, cs_quantity#302, cs_list_price#303, cs_sales_price#304, cs_coupon_amt#305, cs_net_profit#306, cs_sold_date_sk#307]
Arguments: ((isnotnull(cs_bill_cdemo_sk#300) AND isnotnull(cs_bill_customer_sk#299)) AND isnotnull(cs_item_sk#301))

(198) ReusedExchange [Reuses operator id: 7]
Output [2]: [cd_demo_sk#308, cd_dep_count#309]

(199) InputAdapter
Input [2]: [cd_demo_sk#308, cd_dep_count#309]

(200) InputIteratorTransformer
Input [2]: [cd_demo_sk#308, cd_dep_count#309]

(201) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_bill_cdemo_sk#300]
Right keys [1]: [cd_demo_sk#308]
Join type: Inner
Join condition: None

(202) ProjectExecTransformer
Output [9]: [cs_bill_customer_sk#299, cs_item_sk#301, cs_quantity#302, cs_list_price#303, cs_sales_price#304, cs_coupon_amt#305, cs_net_profit#306, cs_sold_date_sk#307, cd_dep_count#309]
Input [11]: [cs_bill_customer_sk#299, cs_bill_cdemo_sk#300, cs_item_sk#301, cs_quantity#302, cs_list_price#303, cs_sales_price#304, cs_coupon_amt#305, cs_net_profit#306, cs_sold_date_sk#307, cd_demo_sk#308, cd_dep_count#309]

(203) ReusedExchange [Reuses operator id: 16]
Output [4]: [c_customer_sk#310, c_current_cdemo_sk#311, c_current_addr_sk#312, c_birth_year#313]

(204) InputAdapter
Input [4]: [c_customer_sk#310, c_current_cdemo_sk#311, c_current_addr_sk#312, c_birth_year#313]

(205) InputIteratorTransformer
Input [4]: [c_customer_sk#310, c_current_cdemo_sk#311, c_current_addr_sk#312, c_birth_year#313]

(206) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_bill_customer_sk#299]
Right keys [1]: [c_customer_sk#310]
Join type: Inner
Join condition: None

(207) ProjectExecTransformer
Output [11]: [cs_item_sk#301, cs_quantity#302, cs_list_price#303, cs_sales_price#304, cs_coupon_amt#305, cs_net_profit#306, cs_sold_date_sk#307, cd_dep_count#309, c_current_cdemo_sk#311, c_current_addr_sk#312, c_birth_year#313]
Input [13]: [cs_bill_customer_sk#299, cs_item_sk#301, cs_quantity#302, cs_list_price#303, cs_sales_price#304, cs_coupon_amt#305, cs_net_profit#306, cs_sold_date_sk#307, cd_dep_count#309, c_customer_sk#310, c_current_cdemo_sk#311, c_current_addr_sk#312, c_birth_year#313]

(208) ReusedExchange [Reuses operator id: 24]
Output [1]: [cd_demo_sk#314]

(209) InputAdapter
Input [1]: [cd_demo_sk#314]

(210) InputIteratorTransformer
Input [1]: [cd_demo_sk#314]

(211) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_cdemo_sk#311]
Right keys [1]: [cd_demo_sk#314]
Join type: Inner
Join condition: None

(212) ProjectExecTransformer
Output [10]: [cs_item_sk#301, cs_quantity#302, cs_list_price#303, cs_sales_price#304, cs_coupon_amt#305, cs_net_profit#306, cs_sold_date_sk#307, cd_dep_count#309, c_current_addr_sk#312, c_birth_year#313]
Input [12]: [cs_item_sk#301, cs_quantity#302, cs_list_price#303, cs_sales_price#304, cs_coupon_amt#305, cs_net_profit#306, cs_sold_date_sk#307, cd_dep_count#309, c_current_cdemo_sk#311, c_current_addr_sk#312, c_birth_year#313, cd_demo_sk#314]

(213) ReusedExchange [Reuses operator id: 171]
Output [1]: [ca_address_sk#315]

(214) InputAdapter
Input [1]: [ca_address_sk#315]

(215) InputIteratorTransformer
Input [1]: [ca_address_sk#315]

(216) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_addr_sk#312]
Right keys [1]: [ca_address_sk#315]
Join type: Inner
Join condition: None

(217) ProjectExecTransformer
Output [9]: [cs_item_sk#301, cs_quantity#302, cs_list_price#303, cs_sales_price#304, cs_coupon_amt#305, cs_net_profit#306, cs_sold_date_sk#307, cd_dep_count#309, c_birth_year#313]
Input [11]: [cs_item_sk#301, cs_quantity#302, cs_list_price#303, cs_sales_price#304, cs_coupon_amt#305, cs_net_profit#306, cs_sold_date_sk#307, cd_dep_count#309, c_current_addr_sk#312, c_birth_year#313, ca_address_sk#315]

(218) ReusedExchange [Reuses operator id: 247]
Output [1]: [d_date_sk#316]

(219) InputAdapter
Input [1]: [d_date_sk#316]

(220) InputIteratorTransformer
Input [1]: [d_date_sk#316]

(221) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_sold_date_sk#307]
Right keys [1]: [d_date_sk#316]
Join type: Inner
Join condition: None

(222) ProjectExecTransformer
Output [8]: [cs_item_sk#301, cs_quantity#302, cs_list_price#303, cs_sales_price#304, cs_coupon_amt#305, cs_net_profit#306, cd_dep_count#309, c_birth_year#313]
Input [10]: [cs_item_sk#301, cs_quantity#302, cs_list_price#303, cs_sales_price#304, cs_coupon_amt#305, cs_net_profit#306, cs_sold_date_sk#307, cd_dep_count#309, c_birth_year#313, d_date_sk#316]

(223) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [1]: [i_item_sk#317]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int>

(224) FilterExecTransformer
Input [1]: [i_item_sk#317]
Arguments: isnotnull(i_item_sk#317)

(225) WholeStageCodegenTransformer (43)
Input [1]: [i_item_sk#317]
Arguments: false

(226) ColumnarBroadcastExchange
Input [1]: [i_item_sk#317]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13]

(227) InputAdapter
Input [1]: [i_item_sk#317]

(228) InputIteratorTransformer
Input [1]: [i_item_sk#317]

(229) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_item_sk#301]
Right keys [1]: [i_item_sk#317]
Join type: Inner
Join condition: None

(230) ProjectExecTransformer
Output [7]: [cast(cs_quantity#302 as decimal(12,2)) AS agg1#318, cast(cs_list_price#303 as decimal(12,2)) AS agg2#319, cast(cs_coupon_amt#305 as decimal(12,2)) AS agg3#320, cast(cs_sales_price#304 as decimal(12,2)) AS agg4#321, cast(cs_net_profit#306 as decimal(12,2)) AS agg5#322, cast(c_birth_year#313 as decimal(12,2)) AS agg6#323, cast(cd_dep_count#309 as decimal(12,2)) AS agg7#324]
Input [9]: [cs_item_sk#301, cs_quantity#302, cs_list_price#303, cs_sales_price#304, cs_coupon_amt#305, cs_net_profit#306, cd_dep_count#309, c_birth_year#313, i_item_sk#317]

(231) FlushableHashAggregateExecTransformer
Input [7]: [agg1#318, agg2#319, agg3#320, agg4#321, agg5#322, agg6#323, agg7#324]
Keys: []
Functions [7]: [partial_avg(agg1#318), partial_avg(agg2#319), partial_avg(agg3#320), partial_avg(agg4#321), partial_avg(agg5#322), partial_avg(agg6#323), partial_avg(agg7#324)]
Aggregate Attributes [14]: [sum#325, count#326, sum#327, count#328, sum#329, count#330, sum#331, count#332, sum#333, count#334, sum#335, count#336, sum#337, count#338]
Results [14]: [sum#339, count#340, sum#341, count#342, sum#343, count#344, sum#345, count#346, sum#347, count#348, sum#349, count#350, sum#351, count#352]

(232) WholeStageCodegenTransformer (44)
Input [14]: [sum#339, count#340, sum#341, count#342, sum#343, count#344, sum#345, count#346, sum#347, count#348, sum#349, count#350, sum#351, count#352]
Arguments: false

(233) VeloxResizeBatches
Input [14]: [sum#339, count#340, sum#341, count#342, sum#343, count#344, sum#345, count#346, sum#347, count#348, sum#349, count#350, sum#351, count#352]
Arguments: 1024, 2147483647, 10485760

(234) ColumnarExchange
Input [14]: [sum#339, count#340, sum#341, count#342, sum#343, count#344, sum#345, count#346, sum#347, count#348, sum#349, count#350, sum#351, count#352]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=14], [shuffle_writer_type=hash]

(235) InputAdapter
Input [14]: [sum#339, count#340, sum#341, count#342, sum#343, count#344, sum#345, count#346, sum#347, count#348, sum#349, count#350, sum#351, count#352]

(236) InputIteratorTransformer
Input [14]: [sum#339, count#340, sum#341, count#342, sum#343, count#344, sum#345, count#346, sum#347, count#348, sum#349, count#350, sum#351, count#352]

(237) RegularHashAggregateExecTransformer
Input [14]: [sum#339, count#340, sum#341, count#342, sum#343, count#344, sum#345, count#346, sum#347, count#348, sum#349, count#350, sum#351, count#352]
Keys: []
Functions [7]: [avg(agg1#318), avg(agg2#319), avg(agg3#320), avg(agg4#321), avg(agg5#322), avg(agg6#323), avg(agg7#324)]
Aggregate Attributes [7]: [avg(agg1#318)#353, avg(agg2#319)#354, avg(agg3#320)#355, avg(agg4#321)#356, avg(agg5#322)#357, avg(agg6#323)#358, avg(agg7#324)#359]
Results [7]: [avg(agg1#318)#353, avg(agg2#319)#354, avg(agg3#320)#355, avg(agg4#321)#356, avg(agg5#322)#357, avg(agg6#323)#358, avg(agg7#324)#359]

(238) ProjectExecTransformer
Output [11]: [null AS i_item_id#360, null AS ca_country#361, null AS ca_state#362, null AS county#363, avg(agg1#318)#353 AS agg1#364, avg(agg2#319)#354 AS agg2#365, avg(agg3#320)#355 AS agg3#366, avg(agg4#321)#356 AS agg4#367, avg(agg5#322)#357 AS agg5#368, avg(agg6#323)#358 AS agg6#369, avg(agg7#324)#359 AS agg7#370]
Input [7]: [avg(agg1#318)#353, avg(agg2#319)#354, avg(agg3#320)#355, avg(agg4#321)#356, avg(agg5#322)#357, avg(agg6#323)#358, avg(agg7#324)#359]

(239) WholeStageCodegenTransformer (45)
Input [11]: [i_item_id#360, ca_country#361, ca_state#362, county#363, agg1#364, agg2#365, agg3#366, agg4#367, agg5#368, agg6#369, agg7#370]
Arguments: false

(240) ColumnarUnion
Arguments: UnknownPartitioning(0)

(241) TakeOrderedAndProjectExecTransformer
Input [11]: [i_item_id#27, ca_country#24, ca_state#23, ca_county#22, agg1#71, agg2#72, agg3#73, agg4#74, agg5#75, agg6#76, agg7#77]
Arguments: 100, [ca_country#24 ASC NULLS FIRST, ca_state#23 ASC NULLS FIRST, ca_county#22 ASC NULLS FIRST, i_item_id#27 ASC NULLS FIRST], [i_item_id#27, ca_country#24, ca_state#23, ca_county#22, agg1#71, agg2#72, agg3#73, agg4#74, agg5#75, agg6#76, agg7#77], 0

(242) VeloxColumnarToRow
Input [11]: [i_item_id#27, ca_country#24, ca_state#23, ca_county#22, agg1#71, agg2#72, agg3#73, agg4#74, agg5#75, agg6#76, agg7#77]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#9 IN dynamicpruning#10
ColumnarBroadcastExchange (247)
+- ^ ProjectExecTransformer (245)
   +- ^ FilterExecTransformer (244)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (243)


(243) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#25, d_year#371]
Batched: true
Location: InMemoryFileIndex [{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>

(244) FilterExecTransformer
Input [2]: [d_date_sk#25, d_year#371]
Arguments: ((isnotnull(d_year#371) AND (d_year#371 = 2001)) AND isnotnull(d_date_sk#25))

(245) ProjectExecTransformer
Output [1]: [d_date_sk#25]
Input [2]: [d_date_sk#25, d_year#371]

(246) WholeStageCodegenTransformer (1)
Input [1]: [d_date_sk#25]
Arguments: false

(247) ColumnarBroadcastExchange
Input [1]: [d_date_sk#25]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=15]

Subquery:2 Hosting operator id = 59 Hosting Expression = cs_sold_date_sk#86 IN dynamicpruning#10

Subquery:3 Hosting operator id = 104 Hosting Expression = cs_sold_date_sk#159 IN dynamicpruning#10

Subquery:4 Hosting operator id = 150 Hosting Expression = cs_sold_date_sk#233 IN dynamicpruning#10

Subquery:5 Hosting operator id = 196 Hosting Expression = cs_sold_date_sk#307 IN dynamicpruning#10


