== Physical Plan ==
TakeOrderedAndProject (161)
+- Union (160)
   :- * HashAggregate (44)
   :  +- * CometColumnarToRow (43)
   :     +- CometColumnarExchange (42)
   :        +- * HashAggregate (41)
   :           +- * Project (40)
   :              +- * BroadcastHashJoin Inner BuildRight (39)
   :                 :- * Project (33)
   :                 :  +- * BroadcastHashJoin Inner BuildRight (32)
   :                 :     :- * Project (30)
   :                 :     :  +- * BroadcastHashJoin Inner BuildRight (29)
   :                 :     :     :- * Project (23)
   :                 :     :     :  +- * BroadcastHashJoin Inner BuildRight (22)
   :                 :     :     :     :- * Project (17)
   :                 :     :     :     :  +- * BroadcastHashJoin Inner BuildRight (16)
   :                 :     :     :     :     :- * Project (10)
   :                 :     :     :     :     :  +- * BroadcastHashJoin Inner BuildRight (9)
   :                 :     :     :     :     :     :- * Filter (3)
   :                 :     :     :     :     :     :  +- * ColumnarToRow (2)
   :                 :     :     :     :     :     :     +- Scan parquet spark_catalog.default.catalog_sales (1)
   :                 :     :     :     :     :     +- BroadcastExchange (8)
   :                 :     :     :     :     :        +- * CometColumnarToRow (7)
   :                 :     :     :     :     :           +- CometProject (6)
   :                 :     :     :     :     :              +- CometFilter (5)
   :                 :     :     :     :     :                 +- CometNativeScan parquet spark_catalog.default.customer_demographics (4)
   :                 :     :     :     :     +- BroadcastExchange (15)
   :                 :     :     :     :        +- * CometColumnarToRow (14)
   :                 :     :     :     :           +- CometProject (13)
   :                 :     :     :     :              +- CometFilter (12)
   :                 :     :     :     :                 +- CometNativeScan parquet spark_catalog.default.customer (11)
   :                 :     :     :     +- BroadcastExchange (21)
   :                 :     :     :        +- * CometColumnarToRow (20)
   :                 :     :     :           +- CometFilter (19)
   :                 :     :     :              +- CometNativeScan parquet spark_catalog.default.customer_demographics (18)
   :                 :     :     +- BroadcastExchange (28)
   :                 :     :        +- * CometColumnarToRow (27)
   :                 :     :           +- CometProject (26)
   :                 :     :              +- CometFilter (25)
   :                 :     :                 +- CometNativeScan parquet spark_catalog.default.customer_address (24)
   :                 :     +- ReusedExchange (31)
   :                 +- BroadcastExchange (38)
   :                    +- * CometColumnarToRow (37)
   :                       +- CometProject (36)
   :                          +- CometFilter (35)
   :                             +- CometNativeScan parquet spark_catalog.default.item (34)
   :- * HashAggregate (73)
   :  +- * CometColumnarToRow (72)
   :     +- CometColumnarExchange (71)
   :        +- * HashAggregate (70)
   :           +- * Project (69)
   :              +- * BroadcastHashJoin Inner BuildRight (68)
   :                 :- * Project (66)
   :                 :  +- * BroadcastHashJoin Inner BuildRight (65)
   :                 :     :- * Project (63)
   :                 :     :  +- * BroadcastHashJoin Inner BuildRight (62)
   :                 :     :     :- * Project (56)
   :                 :     :     :  +- * BroadcastHashJoin Inner BuildRight (55)
   :                 :     :     :     :- * Project (53)
   :                 :     :     :     :  +- * BroadcastHashJoin Inner BuildRight (52)
   :                 :     :     :     :     :- * Project (50)
   :                 :     :     :     :     :  +- * BroadcastHashJoin Inner BuildRight (49)
   :                 :     :     :     :     :     :- * Filter (47)
   :                 :     :     :     :     :     :  +- * ColumnarToRow (46)
   :                 :     :     :     :     :     :     +- Scan parquet spark_catalog.default.catalog_sales (45)
   :                 :     :     :     :     :     +- ReusedExchange (48)
   :                 :     :     :     :     +- ReusedExchange (51)
   :                 :     :     :     +- ReusedExchange (54)
   :                 :     :     +- BroadcastExchange (61)
   :                 :     :        +- * CometColumnarToRow (60)
   :                 :     :           +- CometProject (59)
   :                 :     :              +- CometFilter (58)
   :                 :     :                 +- CometNativeScan parquet spark_catalog.default.customer_address (57)
   :                 :     +- ReusedExchange (64)
   :                 +- ReusedExchange (67)
   :- * HashAggregate (102)
   :  +- * CometColumnarToRow (101)
   :     +- CometColumnarExchange (100)
   :        +- * HashAggregate (99)
   :           +- * Project (98)
   :              +- * BroadcastHashJoin Inner BuildRight (97)
   :                 :- * Project (95)
   :                 :  +- * BroadcastHashJoin Inner BuildRight (94)
   :                 :     :- * Project (92)
   :                 :     :  +- * BroadcastHashJoin Inner BuildRight (91)
   :                 :     :     :- * Project (85)
   :                 :     :     :  +- * BroadcastHashJoin Inner BuildRight (84)
   :                 :     :     :     :- * Project (82)
   :                 :     :     :     :  +- * BroadcastHashJoin Inner BuildRight (81)
   :                 :     :     :     :     :- * Project (79)
   :                 :     :     :     :     :  +- * BroadcastHashJoin Inner BuildRight (78)
   :                 :     :     :     :     :     :- * Filter (76)
   :                 :     :     :     :     :     :  +- * ColumnarToRow (75)
   :                 :     :     :     :     :     :     +- Scan parquet spark_catalog.default.catalog_sales (74)
   :                 :     :     :     :     :     +- ReusedExchange (77)
   :                 :     :     :     :     +- ReusedExchange (80)
   :                 :     :     :     +- ReusedExchange (83)
   :                 :     :     +- BroadcastExchange (90)
   :                 :     :        +- * CometColumnarToRow (89)
   :                 :     :           +- CometProject (88)
   :                 :     :              +- CometFilter (87)
   :                 :     :                 +- CometNativeScan parquet spark_catalog.default.customer_address (86)
   :                 :     +- ReusedExchange (93)
   :                 +- ReusedExchange (96)
   :- * HashAggregate (131)
   :  +- * CometColumnarToRow (130)
   :     +- CometColumnarExchange (129)
   :        +- * HashAggregate (128)
   :           +- * Project (127)
   :              +- * BroadcastHashJoin Inner BuildRight (126)
   :                 :- * Project (124)
   :                 :  +- * BroadcastHashJoin Inner BuildRight (123)
   :                 :     :- * Project (121)
   :                 :     :  +- * BroadcastHashJoin Inner BuildRight (120)
   :                 :     :     :- * Project (114)
   :                 :     :     :  +- * BroadcastHashJoin Inner BuildRight (113)
   :                 :     :     :     :- * Project (111)
   :                 :     :     :     :  +- * BroadcastHashJoin Inner BuildRight (110)
   :                 :     :     :     :     :- * Project (108)
   :                 :     :     :     :     :  +- * BroadcastHashJoin Inner BuildRight (107)
   :                 :     :     :     :     :     :- * Filter (105)
   :                 :     :     :     :     :     :  +- * ColumnarToRow (104)
   :                 :     :     :     :     :     :     +- Scan parquet spark_catalog.default.catalog_sales (103)
   :                 :     :     :     :     :     +- ReusedExchange (106)
   :                 :     :     :     :     +- ReusedExchange (109)
   :                 :     :     :     +- ReusedExchange (112)
   :                 :     :     +- BroadcastExchange (119)
   :                 :     :        +- * CometColumnarToRow (118)
   :                 :     :           +- CometProject (117)
   :                 :     :              +- CometFilter (116)
   :                 :     :                 +- CometNativeScan parquet spark_catalog.default.customer_address (115)
   :                 :     +- ReusedExchange (122)
   :                 +- ReusedExchange (125)
   +- * HashAggregate (159)
      +- * CometColumnarToRow (158)
         +- CometColumnarExchange (157)
            +- * HashAggregate (156)
               +- * Project (155)
                  +- * BroadcastHashJoin Inner BuildRight (154)
                     :- * Project (149)
                     :  +- * BroadcastHashJoin Inner BuildRight (148)
                     :     :- * Project (146)
                     :     :  +- * BroadcastHashJoin Inner BuildRight (145)
                     :     :     :- * Project (143)
                     :     :     :  +- * BroadcastHashJoin Inner BuildRight (142)
                     :     :     :     :- * Project (140)
                     :     :     :     :  +- * BroadcastHashJoin Inner BuildRight (139)
                     :     :     :     :     :- * Project (137)
                     :     :     :     :     :  +- * BroadcastHashJoin Inner BuildRight (136)
                     :     :     :     :     :     :- * Filter (134)
                     :     :     :     :     :     :  +- * ColumnarToRow (133)
                     :     :     :     :     :     :     +- Scan parquet spark_catalog.default.catalog_sales (132)
                     :     :     :     :     :     +- ReusedExchange (135)
                     :     :     :     :     +- ReusedExchange (138)
                     :     :     :     +- ReusedExchange (141)
                     :     :     +- ReusedExchange (144)
                     :     +- ReusedExchange (147)
                     +- BroadcastExchange (153)
                        +- * CometColumnarToRow (152)
                           +- CometFilter (151)
                              +- CometNativeScan parquet spark_catalog.default.item (150)


(1) Scan 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) ColumnarToRow [codegen id : 7]
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]

(3) Filter [codegen id : 7]
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]
Condition : ((isnotnull(cs_bill_cdemo_sk#2) AND isnotnull(cs_bill_customer_sk#1)) AND isnotnull(cs_item_sk#3))

(4) CometNativeScan 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 [not included in comparison]/{warehouse_dir}/customer_demographics]
PushedFilters: [IsNotNull(cd_demo_sk)]
ReadSchema: struct<cd_demo_sk:int,cd_gender:string,cd_education_status:string,cd_dep_count:int>

(5) CometFilter
Input [4]: [cd_demo_sk#11, cd_gender#12, cd_education_status#13, cd_dep_count#14]
Condition : (((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, cd_gender#12, 1, true, false, true) = M) AND (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, cd_education_status#13, 20, true, false, true) = College             )) AND isnotnull(cd_demo_sk#11))

(6) CometProject
Input [4]: [cd_demo_sk#11, cd_gender#12, cd_education_status#13, cd_dep_count#14]
Arguments: [cd_demo_sk#11, cd_dep_count#14], [cd_demo_sk#11, cd_dep_count#14]

(7) CometColumnarToRow [codegen id : 1]
Input [2]: [cd_demo_sk#11, cd_dep_count#14]

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

(9) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [cs_bill_cdemo_sk#2]
Right keys [1]: [cd_demo_sk#11]
Join type: Inner
Join condition: None

(10) Project [codegen id : 7]
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]

(11) CometNativeScan 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 [not included in comparison]/{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>

(12) CometFilter
Input [5]: [c_customer_sk#15, c_current_cdemo_sk#16, c_current_addr_sk#17, c_birth_month#18, c_birth_year#19]
Condition : (((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))

(13) CometProject
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_customer_sk#15, c_current_cdemo_sk#16, c_current_addr_sk#17, c_birth_year#19], [c_customer_sk#15, c_current_cdemo_sk#16, c_current_addr_sk#17, c_birth_year#19]

(14) CometColumnarToRow [codegen id : 2]
Input [4]: [c_customer_sk#15, c_current_cdemo_sk#16, c_current_addr_sk#17, c_birth_year#19]

(15) BroadcastExchange
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]

(16) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [cs_bill_customer_sk#1]
Right keys [1]: [c_customer_sk#15]
Join type: Inner
Join condition: None

(17) Project [codegen id : 7]
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]

(18) CometNativeScan parquet spark_catalog.default.customer_demographics
Output [1]: [cd_demo_sk#20]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_demographics]
PushedFilters: [IsNotNull(cd_demo_sk)]
ReadSchema: struct<cd_demo_sk:int>

(19) CometFilter
Input [1]: [cd_demo_sk#20]
Condition : isnotnull(cd_demo_sk#20)

(20) CometColumnarToRow [codegen id : 3]
Input [1]: [cd_demo_sk#20]

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

(22) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [c_current_cdemo_sk#16]
Right keys [1]: [cd_demo_sk#20]
Join type: Inner
Join condition: None

(23) Project [codegen id : 7]
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]

(24) CometNativeScan parquet spark_catalog.default.customer_address
Output [4]: [ca_address_sk#21, ca_county#22, ca_state#23, ca_country#24]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_county:string,ca_state:string,ca_country:string>

(25) CometFilter
Input [4]: [ca_address_sk#21, ca_county#22, ca_state#23, ca_country#24]
Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#23, 2, true, false, true) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#21))

(26) CometProject
Input [4]: [ca_address_sk#21, ca_county#22, ca_state#23, ca_country#24]
Arguments: [ca_address_sk#21, ca_county#22, ca_state#25, ca_country#24], [ca_address_sk#21, ca_county#22, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#23, 2, true, false, true) AS ca_state#25, ca_country#24]

(27) CometColumnarToRow [codegen id : 4]
Input [4]: [ca_address_sk#21, ca_county#22, ca_state#25, ca_country#24]

(28) BroadcastExchange
Input [4]: [ca_address_sk#21, ca_county#22, ca_state#25, ca_country#24]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4]

(29) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [c_current_addr_sk#17]
Right keys [1]: [ca_address_sk#21]
Join type: Inner
Join condition: None

(30) Project [codegen id : 7]
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#25, 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#25, ca_country#24]

(31) ReusedExchange [Reuses operator id: 166]
Output [1]: [d_date_sk#26]

(32) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [cs_sold_date_sk#9]
Right keys [1]: [d_date_sk#26]
Join type: Inner
Join condition: None

(33) Project [codegen id : 7]
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#25, 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#25, ca_country#24, d_date_sk#26]

(34) CometNativeScan parquet spark_catalog.default.item
Output [2]: [i_item_sk#27, i_item_id#28]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_item_id:string>

(35) CometFilter
Input [2]: [i_item_sk#27, i_item_id#28]
Condition : isnotnull(i_item_sk#27)

(36) CometProject
Input [2]: [i_item_sk#27, i_item_id#28]
Arguments: [i_item_sk#27, i_item_id#29], [i_item_sk#27, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_item_id#28, 16, true, false, true) AS i_item_id#29]

(37) CometColumnarToRow [codegen id : 6]
Input [2]: [i_item_sk#27, i_item_id#29]

(38) BroadcastExchange
Input [2]: [i_item_sk#27, i_item_id#29]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5]

(39) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [cs_item_sk#3]
Right keys [1]: [i_item_sk#27]
Join type: Inner
Join condition: None

(40) Project [codegen id : 7]
Output [11]: [i_item_id#29 AS i_item_id#30, ca_country#24 AS ca_country#31, ca_state#25 AS ca_state#32, ca_county#22 AS ca_county#33, cast(cs_quantity#4 as decimal(12,2)) AS agg1#34, cast(cs_list_price#5 as decimal(12,2)) AS agg2#35, cast(cs_coupon_amt#7 as decimal(12,2)) AS agg3#36, cast(cs_sales_price#6 as decimal(12,2)) AS agg4#37, cast(cs_net_profit#8 as decimal(12,2)) AS agg5#38, cast(c_birth_year#19 as decimal(12,2)) AS agg6#39, cast(cd_dep_count#14 as decimal(12,2)) AS agg7#40]
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#25, ca_country#24, i_item_sk#27, i_item_id#29]

(41) HashAggregate [codegen id : 7]
Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#34, agg2#35, agg3#36, agg4#37, agg5#38, agg6#39, agg7#40]
Keys [4]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33]
Functions [7]: [partial_avg(agg1#34), partial_avg(agg2#35), partial_avg(agg3#36), partial_avg(agg4#37), partial_avg(agg5#38), partial_avg(agg6#39), partial_avg(agg7#40)]
Aggregate Attributes [14]: [sum#41, count#42, sum#43, count#44, sum#45, count#46, sum#47, count#48, sum#49, count#50, sum#51, count#52, sum#53, count#54]
Results [18]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62, sum#63, count#64, sum#65, count#66, sum#67, count#68]

(42) CometColumnarExchange
Input [18]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62, sum#63, count#64, sum#65, count#66, sum#67, count#68]
Arguments: hashpartitioning(i_item_id#30, ca_country#31, ca_state#32, ca_county#33, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6]

(43) CometColumnarToRow [codegen id : 8]
Input [18]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62, sum#63, count#64, sum#65, count#66, sum#67, count#68]

(44) HashAggregate [codegen id : 8]
Input [18]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62, sum#63, count#64, sum#65, count#66, sum#67, count#68]
Keys [4]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33]
Functions [7]: [avg(agg1#34), avg(agg2#35), avg(agg3#36), avg(agg4#37), avg(agg5#38), avg(agg6#39), avg(agg7#40)]
Aggregate Attributes [7]: [avg(agg1#34)#69, avg(agg2#35)#70, avg(agg3#36)#71, avg(agg4#37)#72, avg(agg5#38)#73, avg(agg6#39)#74, avg(agg7#40)#75]
Results [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, avg(agg1#34)#69 AS agg1#76, avg(agg2#35)#70 AS agg2#77, avg(agg3#36)#71 AS agg3#78, avg(agg4#37)#72 AS agg4#79, avg(agg5#38)#73 AS agg5#80, avg(agg6#39)#74 AS agg6#81, avg(agg7#40)#75 AS agg7#82]

(45) Scan parquet spark_catalog.default.catalog_sales
Output [9]: [cs_bill_customer_sk#83, cs_bill_cdemo_sk#84, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#91), dynamicpruningexpression(cs_sold_date_sk#91 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)>

(46) ColumnarToRow [codegen id : 15]
Input [9]: [cs_bill_customer_sk#83, cs_bill_cdemo_sk#84, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91]

(47) Filter [codegen id : 15]
Input [9]: [cs_bill_customer_sk#83, cs_bill_cdemo_sk#84, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91]
Condition : ((isnotnull(cs_bill_cdemo_sk#84) AND isnotnull(cs_bill_customer_sk#83)) AND isnotnull(cs_item_sk#85))

(48) ReusedExchange [Reuses operator id: 8]
Output [2]: [cd_demo_sk#92, cd_dep_count#93]

(49) BroadcastHashJoin [codegen id : 15]
Left keys [1]: [cs_bill_cdemo_sk#84]
Right keys [1]: [cd_demo_sk#92]
Join type: Inner
Join condition: None

(50) Project [codegen id : 15]
Output [9]: [cs_bill_customer_sk#83, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93]
Input [11]: [cs_bill_customer_sk#83, cs_bill_cdemo_sk#84, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_demo_sk#92, cd_dep_count#93]

(51) ReusedExchange [Reuses operator id: 15]
Output [4]: [c_customer_sk#94, c_current_cdemo_sk#95, c_current_addr_sk#96, c_birth_year#97]

(52) BroadcastHashJoin [codegen id : 15]
Left keys [1]: [cs_bill_customer_sk#83]
Right keys [1]: [c_customer_sk#94]
Join type: Inner
Join condition: None

(53) Project [codegen id : 15]
Output [11]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_current_cdemo_sk#95, c_current_addr_sk#96, c_birth_year#97]
Input [13]: [cs_bill_customer_sk#83, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_customer_sk#94, c_current_cdemo_sk#95, c_current_addr_sk#96, c_birth_year#97]

(54) ReusedExchange [Reuses operator id: 21]
Output [1]: [cd_demo_sk#98]

(55) BroadcastHashJoin [codegen id : 15]
Left keys [1]: [c_current_cdemo_sk#95]
Right keys [1]: [cd_demo_sk#98]
Join type: Inner
Join condition: None

(56) Project [codegen id : 15]
Output [10]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_current_addr_sk#96, c_birth_year#97]
Input [12]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_current_cdemo_sk#95, c_current_addr_sk#96, c_birth_year#97, cd_demo_sk#98]

(57) CometNativeScan parquet spark_catalog.default.customer_address
Output [3]: [ca_address_sk#99, ca_state#100, ca_country#101]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_state:string,ca_country:string>

(58) CometFilter
Input [3]: [ca_address_sk#99, ca_state#100, ca_country#101]
Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#100, 2, true, false, true) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#99))

(59) CometProject
Input [3]: [ca_address_sk#99, ca_state#100, ca_country#101]
Arguments: [ca_address_sk#99, ca_state#25, ca_country#101], [ca_address_sk#99, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#100, 2, true, false, true) AS ca_state#25, ca_country#101]

(60) CometColumnarToRow [codegen id : 12]
Input [3]: [ca_address_sk#99, ca_state#25, ca_country#101]

(61) BroadcastExchange
Input [3]: [ca_address_sk#99, ca_state#25, ca_country#101]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7]

(62) BroadcastHashJoin [codegen id : 15]
Left keys [1]: [c_current_addr_sk#96]
Right keys [1]: [ca_address_sk#99]
Join type: Inner
Join condition: None

(63) Project [codegen id : 15]
Output [11]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_birth_year#97, ca_state#25, ca_country#101]
Input [13]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_current_addr_sk#96, c_birth_year#97, ca_address_sk#99, ca_state#25, ca_country#101]

(64) ReusedExchange [Reuses operator id: 166]
Output [1]: [d_date_sk#102]

(65) BroadcastHashJoin [codegen id : 15]
Left keys [1]: [cs_sold_date_sk#91]
Right keys [1]: [d_date_sk#102]
Join type: Inner
Join condition: None

(66) Project [codegen id : 15]
Output [10]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cd_dep_count#93, c_birth_year#97, ca_state#25, ca_country#101]
Input [12]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_birth_year#97, ca_state#25, ca_country#101, d_date_sk#102]

(67) ReusedExchange [Reuses operator id: 38]
Output [2]: [i_item_sk#103, i_item_id#29]

(68) BroadcastHashJoin [codegen id : 15]
Left keys [1]: [cs_item_sk#85]
Right keys [1]: [i_item_sk#103]
Join type: Inner
Join condition: None

(69) Project [codegen id : 15]
Output [10]: [i_item_id#29, ca_country#101, ca_state#25, cast(cs_quantity#86 as decimal(12,2)) AS agg1#104, cast(cs_list_price#87 as decimal(12,2)) AS agg2#105, cast(cs_coupon_amt#89 as decimal(12,2)) AS agg3#106, cast(cs_sales_price#88 as decimal(12,2)) AS agg4#107, cast(cs_net_profit#90 as decimal(12,2)) AS agg5#108, cast(c_birth_year#97 as decimal(12,2)) AS agg6#109, cast(cd_dep_count#93 as decimal(12,2)) AS agg7#110]
Input [12]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cd_dep_count#93, c_birth_year#97, ca_state#25, ca_country#101, i_item_sk#103, i_item_id#29]

(70) HashAggregate [codegen id : 15]
Input [10]: [i_item_id#29, ca_country#101, ca_state#25, agg1#104, agg2#105, agg3#106, agg4#107, agg5#108, agg6#109, agg7#110]
Keys [3]: [i_item_id#29, ca_country#101, ca_state#25]
Functions [7]: [partial_avg(agg1#104), partial_avg(agg2#105), partial_avg(agg3#106), partial_avg(agg4#107), partial_avg(agg5#108), partial_avg(agg6#109), partial_avg(agg7#110)]
Aggregate Attributes [14]: [sum#111, count#112, sum#113, count#114, sum#115, count#116, sum#117, count#118, sum#119, count#120, sum#121, count#122, sum#123, count#124]
Results [17]: [i_item_id#29, ca_country#101, ca_state#25, sum#125, count#126, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134, sum#135, count#136, sum#137, count#138]

(71) CometColumnarExchange
Input [17]: [i_item_id#29, ca_country#101, ca_state#25, sum#125, count#126, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134, sum#135, count#136, sum#137, count#138]
Arguments: hashpartitioning(i_item_id#29, ca_country#101, ca_state#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8]

(72) CometColumnarToRow [codegen id : 16]
Input [17]: [i_item_id#29, ca_country#101, ca_state#25, sum#125, count#126, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134, sum#135, count#136, sum#137, count#138]

(73) HashAggregate [codegen id : 16]
Input [17]: [i_item_id#29, ca_country#101, ca_state#25, sum#125, count#126, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134, sum#135, count#136, sum#137, count#138]
Keys [3]: [i_item_id#29, ca_country#101, ca_state#25]
Functions [7]: [avg(agg1#104), avg(agg2#105), avg(agg3#106), avg(agg4#107), avg(agg5#108), avg(agg6#109), avg(agg7#110)]
Aggregate Attributes [7]: [avg(agg1#104)#139, avg(agg2#105)#140, avg(agg3#106)#141, avg(agg4#107)#142, avg(agg5#108)#143, avg(agg6#109)#144, avg(agg7#110)#145]
Results [11]: [i_item_id#29, ca_country#101, ca_state#25, null AS county#146, avg(agg1#104)#139 AS agg1#147, avg(agg2#105)#140 AS agg2#148, avg(agg3#106)#141 AS agg3#149, avg(agg4#107)#142 AS agg4#150, avg(agg5#108)#143 AS agg5#151, avg(agg6#109)#144 AS agg6#152, avg(agg7#110)#145 AS agg7#153]

(74) Scan parquet spark_catalog.default.catalog_sales
Output [9]: [cs_bill_customer_sk#154, cs_bill_cdemo_sk#155, cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#162), dynamicpruningexpression(cs_sold_date_sk#162 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)>

(75) ColumnarToRow [codegen id : 23]
Input [9]: [cs_bill_customer_sk#154, cs_bill_cdemo_sk#155, cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162]

(76) Filter [codegen id : 23]
Input [9]: [cs_bill_customer_sk#154, cs_bill_cdemo_sk#155, cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162]
Condition : ((isnotnull(cs_bill_cdemo_sk#155) AND isnotnull(cs_bill_customer_sk#154)) AND isnotnull(cs_item_sk#156))

(77) ReusedExchange [Reuses operator id: 8]
Output [2]: [cd_demo_sk#163, cd_dep_count#164]

(78) BroadcastHashJoin [codegen id : 23]
Left keys [1]: [cs_bill_cdemo_sk#155]
Right keys [1]: [cd_demo_sk#163]
Join type: Inner
Join condition: None

(79) Project [codegen id : 23]
Output [9]: [cs_bill_customer_sk#154, cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162, cd_dep_count#164]
Input [11]: [cs_bill_customer_sk#154, cs_bill_cdemo_sk#155, cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162, cd_demo_sk#163, cd_dep_count#164]

(80) ReusedExchange [Reuses operator id: 15]
Output [4]: [c_customer_sk#165, c_current_cdemo_sk#166, c_current_addr_sk#167, c_birth_year#168]

(81) BroadcastHashJoin [codegen id : 23]
Left keys [1]: [cs_bill_customer_sk#154]
Right keys [1]: [c_customer_sk#165]
Join type: Inner
Join condition: None

(82) Project [codegen id : 23]
Output [11]: [cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162, cd_dep_count#164, c_current_cdemo_sk#166, c_current_addr_sk#167, c_birth_year#168]
Input [13]: [cs_bill_customer_sk#154, cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162, cd_dep_count#164, c_customer_sk#165, c_current_cdemo_sk#166, c_current_addr_sk#167, c_birth_year#168]

(83) ReusedExchange [Reuses operator id: 21]
Output [1]: [cd_demo_sk#169]

(84) BroadcastHashJoin [codegen id : 23]
Left keys [1]: [c_current_cdemo_sk#166]
Right keys [1]: [cd_demo_sk#169]
Join type: Inner
Join condition: None

(85) Project [codegen id : 23]
Output [10]: [cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162, cd_dep_count#164, c_current_addr_sk#167, c_birth_year#168]
Input [12]: [cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162, cd_dep_count#164, c_current_cdemo_sk#166, c_current_addr_sk#167, c_birth_year#168, cd_demo_sk#169]

(86) CometNativeScan parquet spark_catalog.default.customer_address
Output [3]: [ca_address_sk#170, ca_state#171, ca_country#172]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_state:string,ca_country:string>

(87) CometFilter
Input [3]: [ca_address_sk#170, ca_state#171, ca_country#172]
Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#171, 2, true, false, true) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#170))

(88) CometProject
Input [3]: [ca_address_sk#170, ca_state#171, ca_country#172]
Arguments: [ca_address_sk#170, ca_country#172], [ca_address_sk#170, ca_country#172]

(89) CometColumnarToRow [codegen id : 20]
Input [2]: [ca_address_sk#170, ca_country#172]

(90) BroadcastExchange
Input [2]: [ca_address_sk#170, ca_country#172]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9]

(91) BroadcastHashJoin [codegen id : 23]
Left keys [1]: [c_current_addr_sk#167]
Right keys [1]: [ca_address_sk#170]
Join type: Inner
Join condition: None

(92) Project [codegen id : 23]
Output [10]: [cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162, cd_dep_count#164, c_birth_year#168, ca_country#172]
Input [12]: [cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162, cd_dep_count#164, c_current_addr_sk#167, c_birth_year#168, ca_address_sk#170, ca_country#172]

(93) ReusedExchange [Reuses operator id: 166]
Output [1]: [d_date_sk#173]

(94) BroadcastHashJoin [codegen id : 23]
Left keys [1]: [cs_sold_date_sk#162]
Right keys [1]: [d_date_sk#173]
Join type: Inner
Join condition: None

(95) Project [codegen id : 23]
Output [9]: [cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cd_dep_count#164, c_birth_year#168, ca_country#172]
Input [11]: [cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162, cd_dep_count#164, c_birth_year#168, ca_country#172, d_date_sk#173]

(96) ReusedExchange [Reuses operator id: 38]
Output [2]: [i_item_sk#174, i_item_id#29]

(97) BroadcastHashJoin [codegen id : 23]
Left keys [1]: [cs_item_sk#156]
Right keys [1]: [i_item_sk#174]
Join type: Inner
Join condition: None

(98) Project [codegen id : 23]
Output [9]: [i_item_id#29, ca_country#172, cast(cs_quantity#157 as decimal(12,2)) AS agg1#175, cast(cs_list_price#158 as decimal(12,2)) AS agg2#176, cast(cs_coupon_amt#160 as decimal(12,2)) AS agg3#177, cast(cs_sales_price#159 as decimal(12,2)) AS agg4#178, cast(cs_net_profit#161 as decimal(12,2)) AS agg5#179, cast(c_birth_year#168 as decimal(12,2)) AS agg6#180, cast(cd_dep_count#164 as decimal(12,2)) AS agg7#181]
Input [11]: [cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cd_dep_count#164, c_birth_year#168, ca_country#172, i_item_sk#174, i_item_id#29]

(99) HashAggregate [codegen id : 23]
Input [9]: [i_item_id#29, ca_country#172, agg1#175, agg2#176, agg3#177, agg4#178, agg5#179, agg6#180, agg7#181]
Keys [2]: [i_item_id#29, ca_country#172]
Functions [7]: [partial_avg(agg1#175), partial_avg(agg2#176), partial_avg(agg3#177), partial_avg(agg4#178), partial_avg(agg5#179), partial_avg(agg6#180), partial_avg(agg7#181)]
Aggregate Attributes [14]: [sum#182, count#183, sum#184, count#185, sum#186, count#187, sum#188, count#189, sum#190, count#191, sum#192, count#193, sum#194, count#195]
Results [16]: [i_item_id#29, ca_country#172, sum#196, count#197, sum#198, count#199, sum#200, count#201, sum#202, count#203, sum#204, count#205, sum#206, count#207, sum#208, count#209]

(100) CometColumnarExchange
Input [16]: [i_item_id#29, ca_country#172, sum#196, count#197, sum#198, count#199, sum#200, count#201, sum#202, count#203, sum#204, count#205, sum#206, count#207, sum#208, count#209]
Arguments: hashpartitioning(i_item_id#29, ca_country#172, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10]

(101) CometColumnarToRow [codegen id : 24]
Input [16]: [i_item_id#29, ca_country#172, sum#196, count#197, sum#198, count#199, sum#200, count#201, sum#202, count#203, sum#204, count#205, sum#206, count#207, sum#208, count#209]

(102) HashAggregate [codegen id : 24]
Input [16]: [i_item_id#29, ca_country#172, sum#196, count#197, sum#198, count#199, sum#200, count#201, sum#202, count#203, sum#204, count#205, sum#206, count#207, sum#208, count#209]
Keys [2]: [i_item_id#29, ca_country#172]
Functions [7]: [avg(agg1#175), avg(agg2#176), avg(agg3#177), avg(agg4#178), avg(agg5#179), avg(agg6#180), avg(agg7#181)]
Aggregate Attributes [7]: [avg(agg1#175)#210, avg(agg2#176)#211, avg(agg3#177)#212, avg(agg4#178)#213, avg(agg5#179)#214, avg(agg6#180)#215, avg(agg7#181)#216]
Results [11]: [i_item_id#29, ca_country#172, null AS ca_state#217, null AS county#218, avg(agg1#175)#210 AS agg1#219, avg(agg2#176)#211 AS agg2#220, avg(agg3#177)#212 AS agg3#221, avg(agg4#178)#213 AS agg4#222, avg(agg5#179)#214 AS agg5#223, avg(agg6#180)#215 AS agg6#224, avg(agg7#181)#216 AS agg7#225]

(103) Scan parquet spark_catalog.default.catalog_sales
Output [9]: [cs_bill_customer_sk#226, cs_bill_cdemo_sk#227, cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#234), dynamicpruningexpression(cs_sold_date_sk#234 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)>

(104) ColumnarToRow [codegen id : 31]
Input [9]: [cs_bill_customer_sk#226, cs_bill_cdemo_sk#227, cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234]

(105) Filter [codegen id : 31]
Input [9]: [cs_bill_customer_sk#226, cs_bill_cdemo_sk#227, cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234]
Condition : ((isnotnull(cs_bill_cdemo_sk#227) AND isnotnull(cs_bill_customer_sk#226)) AND isnotnull(cs_item_sk#228))

(106) ReusedExchange [Reuses operator id: 8]
Output [2]: [cd_demo_sk#235, cd_dep_count#236]

(107) BroadcastHashJoin [codegen id : 31]
Left keys [1]: [cs_bill_cdemo_sk#227]
Right keys [1]: [cd_demo_sk#235]
Join type: Inner
Join condition: None

(108) Project [codegen id : 31]
Output [9]: [cs_bill_customer_sk#226, cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234, cd_dep_count#236]
Input [11]: [cs_bill_customer_sk#226, cs_bill_cdemo_sk#227, cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234, cd_demo_sk#235, cd_dep_count#236]

(109) ReusedExchange [Reuses operator id: 15]
Output [4]: [c_customer_sk#237, c_current_cdemo_sk#238, c_current_addr_sk#239, c_birth_year#240]

(110) BroadcastHashJoin [codegen id : 31]
Left keys [1]: [cs_bill_customer_sk#226]
Right keys [1]: [c_customer_sk#237]
Join type: Inner
Join condition: None

(111) Project [codegen id : 31]
Output [11]: [cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234, cd_dep_count#236, c_current_cdemo_sk#238, c_current_addr_sk#239, c_birth_year#240]
Input [13]: [cs_bill_customer_sk#226, cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234, cd_dep_count#236, c_customer_sk#237, c_current_cdemo_sk#238, c_current_addr_sk#239, c_birth_year#240]

(112) ReusedExchange [Reuses operator id: 21]
Output [1]: [cd_demo_sk#241]

(113) BroadcastHashJoin [codegen id : 31]
Left keys [1]: [c_current_cdemo_sk#238]
Right keys [1]: [cd_demo_sk#241]
Join type: Inner
Join condition: None

(114) Project [codegen id : 31]
Output [10]: [cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234, cd_dep_count#236, c_current_addr_sk#239, c_birth_year#240]
Input [12]: [cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234, cd_dep_count#236, c_current_cdemo_sk#238, c_current_addr_sk#239, c_birth_year#240, cd_demo_sk#241]

(115) CometNativeScan parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#242, ca_state#243]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_state:string>

(116) CometFilter
Input [2]: [ca_address_sk#242, ca_state#243]
Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#243, 2, true, false, true) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#242))

(117) CometProject
Input [2]: [ca_address_sk#242, ca_state#243]
Arguments: [ca_address_sk#242], [ca_address_sk#242]

(118) CometColumnarToRow [codegen id : 28]
Input [1]: [ca_address_sk#242]

(119) BroadcastExchange
Input [1]: [ca_address_sk#242]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11]

(120) BroadcastHashJoin [codegen id : 31]
Left keys [1]: [c_current_addr_sk#239]
Right keys [1]: [ca_address_sk#242]
Join type: Inner
Join condition: None

(121) Project [codegen id : 31]
Output [9]: [cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234, cd_dep_count#236, c_birth_year#240]
Input [11]: [cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234, cd_dep_count#236, c_current_addr_sk#239, c_birth_year#240, ca_address_sk#242]

(122) ReusedExchange [Reuses operator id: 166]
Output [1]: [d_date_sk#244]

(123) BroadcastHashJoin [codegen id : 31]
Left keys [1]: [cs_sold_date_sk#234]
Right keys [1]: [d_date_sk#244]
Join type: Inner
Join condition: None

(124) Project [codegen id : 31]
Output [8]: [cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cd_dep_count#236, c_birth_year#240]
Input [10]: [cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234, cd_dep_count#236, c_birth_year#240, d_date_sk#244]

(125) ReusedExchange [Reuses operator id: 38]
Output [2]: [i_item_sk#245, i_item_id#29]

(126) BroadcastHashJoin [codegen id : 31]
Left keys [1]: [cs_item_sk#228]
Right keys [1]: [i_item_sk#245]
Join type: Inner
Join condition: None

(127) Project [codegen id : 31]
Output [8]: [i_item_id#29, cast(cs_quantity#229 as decimal(12,2)) AS agg1#246, cast(cs_list_price#230 as decimal(12,2)) AS agg2#247, cast(cs_coupon_amt#232 as decimal(12,2)) AS agg3#248, cast(cs_sales_price#231 as decimal(12,2)) AS agg4#249, cast(cs_net_profit#233 as decimal(12,2)) AS agg5#250, cast(c_birth_year#240 as decimal(12,2)) AS agg6#251, cast(cd_dep_count#236 as decimal(12,2)) AS agg7#252]
Input [10]: [cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cd_dep_count#236, c_birth_year#240, i_item_sk#245, i_item_id#29]

(128) HashAggregate [codegen id : 31]
Input [8]: [i_item_id#29, agg1#246, agg2#247, agg3#248, agg4#249, agg5#250, agg6#251, agg7#252]
Keys [1]: [i_item_id#29]
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#29, 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]

(129) CometColumnarExchange
Input [15]: [i_item_id#29, 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#29, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12]

(130) CometColumnarToRow [codegen id : 32]
Input [15]: [i_item_id#29, 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]

(131) HashAggregate [codegen id : 32]
Input [15]: [i_item_id#29, 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#29]
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)#281, avg(agg2#247)#282, avg(agg3#248)#283, avg(agg4#249)#284, avg(agg5#250)#285, avg(agg6#251)#286, avg(agg7#252)#287]
Results [11]: [i_item_id#29, null AS ca_country#288, null AS ca_state#289, null AS county#290, avg(agg1#246)#281 AS agg1#291, avg(agg2#247)#282 AS agg2#292, avg(agg3#248)#283 AS agg3#293, avg(agg4#249)#284 AS agg4#294, avg(agg5#250)#285 AS agg5#295, avg(agg6#251)#286 AS agg6#296, avg(agg7#252)#287 AS agg7#297]

(132) Scan parquet spark_catalog.default.catalog_sales
Output [9]: [cs_bill_customer_sk#298, cs_bill_cdemo_sk#299, cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#306), dynamicpruningexpression(cs_sold_date_sk#306 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)>

(133) ColumnarToRow [codegen id : 39]
Input [9]: [cs_bill_customer_sk#298, cs_bill_cdemo_sk#299, cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306]

(134) Filter [codegen id : 39]
Input [9]: [cs_bill_customer_sk#298, cs_bill_cdemo_sk#299, cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306]
Condition : ((isnotnull(cs_bill_cdemo_sk#299) AND isnotnull(cs_bill_customer_sk#298)) AND isnotnull(cs_item_sk#300))

(135) ReusedExchange [Reuses operator id: 8]
Output [2]: [cd_demo_sk#307, cd_dep_count#308]

(136) BroadcastHashJoin [codegen id : 39]
Left keys [1]: [cs_bill_cdemo_sk#299]
Right keys [1]: [cd_demo_sk#307]
Join type: Inner
Join condition: None

(137) Project [codegen id : 39]
Output [9]: [cs_bill_customer_sk#298, cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306, cd_dep_count#308]
Input [11]: [cs_bill_customer_sk#298, cs_bill_cdemo_sk#299, cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306, cd_demo_sk#307, cd_dep_count#308]

(138) ReusedExchange [Reuses operator id: 15]
Output [4]: [c_customer_sk#309, c_current_cdemo_sk#310, c_current_addr_sk#311, c_birth_year#312]

(139) BroadcastHashJoin [codegen id : 39]
Left keys [1]: [cs_bill_customer_sk#298]
Right keys [1]: [c_customer_sk#309]
Join type: Inner
Join condition: None

(140) Project [codegen id : 39]
Output [11]: [cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306, cd_dep_count#308, c_current_cdemo_sk#310, c_current_addr_sk#311, c_birth_year#312]
Input [13]: [cs_bill_customer_sk#298, cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306, cd_dep_count#308, c_customer_sk#309, c_current_cdemo_sk#310, c_current_addr_sk#311, c_birth_year#312]

(141) ReusedExchange [Reuses operator id: 21]
Output [1]: [cd_demo_sk#313]

(142) BroadcastHashJoin [codegen id : 39]
Left keys [1]: [c_current_cdemo_sk#310]
Right keys [1]: [cd_demo_sk#313]
Join type: Inner
Join condition: None

(143) Project [codegen id : 39]
Output [10]: [cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306, cd_dep_count#308, c_current_addr_sk#311, c_birth_year#312]
Input [12]: [cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306, cd_dep_count#308, c_current_cdemo_sk#310, c_current_addr_sk#311, c_birth_year#312, cd_demo_sk#313]

(144) ReusedExchange [Reuses operator id: 119]
Output [1]: [ca_address_sk#314]

(145) BroadcastHashJoin [codegen id : 39]
Left keys [1]: [c_current_addr_sk#311]
Right keys [1]: [ca_address_sk#314]
Join type: Inner
Join condition: None

(146) Project [codegen id : 39]
Output [9]: [cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306, cd_dep_count#308, c_birth_year#312]
Input [11]: [cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306, cd_dep_count#308, c_current_addr_sk#311, c_birth_year#312, ca_address_sk#314]

(147) ReusedExchange [Reuses operator id: 166]
Output [1]: [d_date_sk#315]

(148) BroadcastHashJoin [codegen id : 39]
Left keys [1]: [cs_sold_date_sk#306]
Right keys [1]: [d_date_sk#315]
Join type: Inner
Join condition: None

(149) Project [codegen id : 39]
Output [8]: [cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cd_dep_count#308, c_birth_year#312]
Input [10]: [cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306, cd_dep_count#308, c_birth_year#312, d_date_sk#315]

(150) CometNativeScan parquet spark_catalog.default.item
Output [1]: [i_item_sk#316]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int>

(151) CometFilter
Input [1]: [i_item_sk#316]
Condition : isnotnull(i_item_sk#316)

(152) CometColumnarToRow [codegen id : 38]
Input [1]: [i_item_sk#316]

(153) BroadcastExchange
Input [1]: [i_item_sk#316]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13]

(154) BroadcastHashJoin [codegen id : 39]
Left keys [1]: [cs_item_sk#300]
Right keys [1]: [i_item_sk#316]
Join type: Inner
Join condition: None

(155) Project [codegen id : 39]
Output [7]: [cast(cs_quantity#301 as decimal(12,2)) AS agg1#317, cast(cs_list_price#302 as decimal(12,2)) AS agg2#318, cast(cs_coupon_amt#304 as decimal(12,2)) AS agg3#319, cast(cs_sales_price#303 as decimal(12,2)) AS agg4#320, cast(cs_net_profit#305 as decimal(12,2)) AS agg5#321, cast(c_birth_year#312 as decimal(12,2)) AS agg6#322, cast(cd_dep_count#308 as decimal(12,2)) AS agg7#323]
Input [9]: [cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cd_dep_count#308, c_birth_year#312, i_item_sk#316]

(156) HashAggregate [codegen id : 39]
Input [7]: [agg1#317, agg2#318, agg3#319, agg4#320, agg5#321, agg6#322, agg7#323]
Keys: []
Functions [7]: [partial_avg(agg1#317), partial_avg(agg2#318), partial_avg(agg3#319), partial_avg(agg4#320), partial_avg(agg5#321), partial_avg(agg6#322), partial_avg(agg7#323)]
Aggregate Attributes [14]: [sum#324, count#325, sum#326, count#327, sum#328, count#329, sum#330, count#331, sum#332, count#333, sum#334, count#335, sum#336, count#337]
Results [14]: [sum#338, count#339, sum#340, count#341, sum#342, count#343, sum#344, count#345, sum#346, count#347, sum#348, count#349, sum#350, count#351]

(157) CometColumnarExchange
Input [14]: [sum#338, count#339, sum#340, count#341, sum#342, count#343, sum#344, count#345, sum#346, count#347, sum#348, count#349, sum#350, count#351]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=14]

(158) CometColumnarToRow [codegen id : 40]
Input [14]: [sum#338, count#339, sum#340, count#341, sum#342, count#343, sum#344, count#345, sum#346, count#347, sum#348, count#349, sum#350, count#351]

(159) HashAggregate [codegen id : 40]
Input [14]: [sum#338, count#339, sum#340, count#341, sum#342, count#343, sum#344, count#345, sum#346, count#347, sum#348, count#349, sum#350, count#351]
Keys: []
Functions [7]: [avg(agg1#317), avg(agg2#318), avg(agg3#319), avg(agg4#320), avg(agg5#321), avg(agg6#322), avg(agg7#323)]
Aggregate Attributes [7]: [avg(agg1#317)#352, avg(agg2#318)#353, avg(agg3#319)#354, avg(agg4#320)#355, avg(agg5#321)#356, avg(agg6#322)#357, avg(agg7#323)#358]
Results [11]: [null AS i_item_id#359, null AS ca_country#360, null AS ca_state#361, null AS county#362, avg(agg1#317)#352 AS agg1#363, avg(agg2#318)#353 AS agg2#364, avg(agg3#319)#354 AS agg3#365, avg(agg4#320)#355 AS agg4#366, avg(agg5#321)#356 AS agg5#367, avg(agg6#322)#357 AS agg6#368, avg(agg7#323)#358 AS agg7#369]

(160) Union

(161) TakeOrderedAndProject
Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#76, agg2#77, agg3#78, agg4#79, agg5#80, agg6#81, agg7#82]
Arguments: 100, [ca_country#31 ASC NULLS FIRST, ca_state#32 ASC NULLS FIRST, ca_county#33 ASC NULLS FIRST, i_item_id#30 ASC NULLS FIRST], [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#76, agg2#77, agg3#78, agg4#79, agg5#80, agg6#81, agg7#82]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#9 IN dynamicpruning#10
BroadcastExchange (166)
+- * CometColumnarToRow (165)
   +- CometProject (164)
      +- CometFilter (163)
         +- CometNativeScan parquet spark_catalog.default.date_dim (162)


(162) CometNativeScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#26, d_year#370]
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>

(163) CometFilter
Input [2]: [d_date_sk#26, d_year#370]
Condition : ((isnotnull(d_year#370) AND (d_year#370 = 2001)) AND isnotnull(d_date_sk#26))

(164) CometProject
Input [2]: [d_date_sk#26, d_year#370]
Arguments: [d_date_sk#26], [d_date_sk#26]

(165) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#26]

(166) BroadcastExchange
Input [1]: [d_date_sk#26]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=15]

Subquery:2 Hosting operator id = 45 Hosting Expression = cs_sold_date_sk#91 IN dynamicpruning#10

Subquery:3 Hosting operator id = 74 Hosting Expression = cs_sold_date_sk#162 IN dynamicpruning#10

Subquery:4 Hosting operator id = 103 Hosting Expression = cs_sold_date_sk#234 IN dynamicpruning#10

Subquery:5 Hosting operator id = 132 Hosting Expression = cs_sold_date_sk#306 IN dynamicpruning#10


