== Physical Plan ==
TakeOrderedAndProject (46)
+- * HashAggregate (45)
   +- * CometColumnarToRow (44)
      +- CometColumnarExchange (43)
         +- * HashAggregate (42)
            +- * Expand (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)


(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_gender), IsNotNull(cd_education_status), 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 : ((((isnotnull(cd_gender#12) AND isnotnull(cd_education_status#13)) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_gender#12, 1)) = F)) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_education_status#13, 20)) = Unknown             )) 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, [1,12,2,6,8,9]), 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 (1,6,8,9,12,2) 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 : (static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#23, 2)) IN (MS,IN,ND,OK,NM,VA) 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, static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#23, 2)) 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: 51]
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, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_item_id#28, 16)) 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]: [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, i_item_id#29, ca_country#24, ca_state#25, ca_county#22]
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) Expand [codegen id : 7]
Input [11]: [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, i_item_id#29, ca_country#24, ca_state#25, ca_county#22]
Arguments: [[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, i_item_id#29, ca_country#24, ca_state#25, ca_county#22, 0], [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, i_item_id#29, ca_country#24, ca_state#25, null, 1], [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, i_item_id#29, ca_country#24, null, null, 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, i_item_id#29, null, null, null, 7], [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, null, null, null, null, 15]], [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, i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34]

(42) HashAggregate [codegen id : 7]
Input [12]: [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, i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34]
Keys [5]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34]
Functions [7]: [partial_avg(cast(cs_quantity#4 as decimal(12,2))), partial_avg(cast(cs_list_price#5 as decimal(12,2))), partial_avg(cast(cs_coupon_amt#7 as decimal(12,2))), partial_avg(cast(cs_sales_price#6 as decimal(12,2))), partial_avg(cast(cs_net_profit#8 as decimal(12,2))), partial_avg(cast(c_birth_year#19 as decimal(12,2))), partial_avg(cast(cd_dep_count#14 as decimal(12,2)))]
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 [19]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34, 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]

(43) CometColumnarExchange
Input [19]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34, 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#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6]

(44) CometColumnarToRow [codegen id : 8]
Input [19]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34, 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]

(45) HashAggregate [codegen id : 8]
Input [19]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34, 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 [5]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34]
Functions [7]: [avg(cast(cs_quantity#4 as decimal(12,2))), avg(cast(cs_list_price#5 as decimal(12,2))), avg(cast(cs_coupon_amt#7 as decimal(12,2))), avg(cast(cs_sales_price#6 as decimal(12,2))), avg(cast(cs_net_profit#8 as decimal(12,2))), avg(cast(c_birth_year#19 as decimal(12,2))), avg(cast(cd_dep_count#14 as decimal(12,2)))]
Aggregate Attributes [7]: [avg(cast(cs_quantity#4 as decimal(12,2)))#63, avg(cast(cs_list_price#5 as decimal(12,2)))#64, avg(cast(cs_coupon_amt#7 as decimal(12,2)))#65, avg(cast(cs_sales_price#6 as decimal(12,2)))#66, avg(cast(cs_net_profit#8 as decimal(12,2)))#67, avg(cast(c_birth_year#19 as decimal(12,2)))#68, avg(cast(cd_dep_count#14 as decimal(12,2)))#69]
Results [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, avg(cast(cs_quantity#4 as decimal(12,2)))#63 AS agg1#70, avg(cast(cs_list_price#5 as decimal(12,2)))#64 AS agg2#71, avg(cast(cs_coupon_amt#7 as decimal(12,2)))#65 AS agg3#72, avg(cast(cs_sales_price#6 as decimal(12,2)))#66 AS agg4#73, avg(cast(cs_net_profit#8 as decimal(12,2)))#67 AS agg5#74, avg(cast(c_birth_year#19 as decimal(12,2)))#68 AS agg6#75, avg(cast(cd_dep_count#14 as decimal(12,2)))#69 AS agg7#76]

(46) TakeOrderedAndProject
Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#70, agg2#71, agg3#72, agg4#73, agg5#74, agg6#75, agg7#76]
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#70, agg2#71, agg3#72, agg4#73, agg5#74, agg6#75, agg7#76]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#9 IN dynamicpruning#10
BroadcastExchange (51)
+- * CometColumnarToRow (50)
   +- CometProject (49)
      +- CometFilter (48)
         +- CometNativeScan parquet spark_catalog.default.date_dim (47)


(47) CometNativeScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#26, d_year#77]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), EqualTo(d_year,1998), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(48) CometFilter
Input [2]: [d_date_sk#26, d_year#77]
Condition : ((isnotnull(d_year#77) AND (d_year#77 = 1998)) AND isnotnull(d_date_sk#26))

(49) CometProject
Input [2]: [d_date_sk#26, d_year#77]
Arguments: [d_date_sk#26], [d_date_sk#26]

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

(51) BroadcastExchange
Input [1]: [d_date_sk#26]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7]


