== Physical Plan ==
* CometColumnarToRow (29)
+- CometHashAggregate (28)
   +- CometExchange (27)
      +- CometHashAggregate (26)
         +- CometProject (25)
            +- CometBroadcastHashJoin (24)
               :- CometProject (19)
               :  +- CometBroadcastHashJoin (18)
               :     :- CometProject (13)
               :     :  +- CometBroadcastHashJoin (12)
               :     :     :- CometProject (7)
               :     :     :  +- CometBroadcastHashJoin (6)
               :     :     :     :- CometFilter (2)
               :     :     :     :  +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1)
               :     :     :     +- CometBroadcastExchange (5)
               :     :     :        +- CometFilter (4)
               :     :     :           +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (3)
               :     :     +- CometBroadcastExchange (11)
               :     :        +- CometProject (10)
               :     :           +- CometFilter (9)
               :     :              +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics (8)
               :     +- CometBroadcastExchange (17)
               :        +- CometProject (16)
               :           +- CometFilter (15)
               :              +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (14)
               +- CometBroadcastExchange (23)
                  +- CometProject (22)
                     +- CometFilter (21)
                        +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (20)


(1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales
Output [7]: [ss_cdemo_sk#1, ss_addr_sk#2, ss_store_sk#3, ss_quantity#4, ss_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#7), dynamicpruningexpression(ss_sold_date_sk#7 IN dynamicpruning#8)]
PushedFilters: [IsNotNull(ss_store_sk), IsNotNull(ss_cdemo_sk), IsNotNull(ss_addr_sk), Or(Or(And(GreaterThanOrEqual(ss_sales_price,100.00),LessThanOrEqual(ss_sales_price,150.00)),And(GreaterThanOrEqual(ss_sales_price,50.00),LessThanOrEqual(ss_sales_price,100.00))),And(GreaterThanOrEqual(ss_sales_price,150.00),LessThanOrEqual(ss_sales_price,200.00))), Or(Or(And(GreaterThanOrEqual(ss_net_profit,0.00),LessThanOrEqual(ss_net_profit,2000.00)),And(GreaterThanOrEqual(ss_net_profit,150.00),LessThanOrEqual(ss_net_profit,3000.00))),And(GreaterThanOrEqual(ss_net_profit,50.00),LessThanOrEqual(ss_net_profit,25000.00)))]
ReadSchema: struct<ss_cdemo_sk:int,ss_addr_sk:int,ss_store_sk:int,ss_quantity:int,ss_sales_price:decimal(7,2),ss_net_profit:decimal(7,2)>

(2) CometFilter
Input [7]: [ss_cdemo_sk#1, ss_addr_sk#2, ss_store_sk#3, ss_quantity#4, ss_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]
Condition : ((((isnotnull(ss_store_sk#3) AND isnotnull(ss_cdemo_sk#1)) AND isnotnull(ss_addr_sk#2)) AND ((((ss_sales_price#5 >= 100.00) AND (ss_sales_price#5 <= 150.00)) OR ((ss_sales_price#5 >= 50.00) AND (ss_sales_price#5 <= 100.00))) OR ((ss_sales_price#5 >= 150.00) AND (ss_sales_price#5 <= 200.00)))) AND ((((ss_net_profit#6 >= 0.00) AND (ss_net_profit#6 <= 2000.00)) OR ((ss_net_profit#6 >= 150.00) AND (ss_net_profit#6 <= 3000.00))) OR ((ss_net_profit#6 >= 50.00) AND (ss_net_profit#6 <= 25000.00))))

(3) CometScan [native_iceberg_compat] parquet spark_catalog.default.store
Output [1]: [s_store_sk#9]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int>

(4) CometFilter
Input [1]: [s_store_sk#9]
Condition : isnotnull(s_store_sk#9)

(5) CometBroadcastExchange
Input [1]: [s_store_sk#9]
Arguments: [s_store_sk#9]

(6) CometBroadcastHashJoin
Left output [7]: [ss_cdemo_sk#1, ss_addr_sk#2, ss_store_sk#3, ss_quantity#4, ss_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]
Right output [1]: [s_store_sk#9]
Arguments: [ss_store_sk#3], [s_store_sk#9], Inner, BuildRight

(7) CometProject
Input [8]: [ss_cdemo_sk#1, ss_addr_sk#2, ss_store_sk#3, ss_quantity#4, ss_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7, s_store_sk#9]
Arguments: [ss_cdemo_sk#1, ss_addr_sk#2, ss_quantity#4, ss_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7], [ss_cdemo_sk#1, ss_addr_sk#2, ss_quantity#4, ss_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]

(8) CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics
Output [3]: [cd_demo_sk#10, cd_marital_status#11, cd_education_status#12]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_demographics]
PushedFilters: [IsNotNull(cd_demo_sk)]
ReadSchema: struct<cd_demo_sk:int,cd_marital_status:string,cd_education_status:string>

(9) CometFilter
Input [3]: [cd_demo_sk#10, cd_marital_status#11, cd_education_status#12]
Condition : (isnotnull(cd_demo_sk#10) AND ((((static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_marital_status#11, 1)) = M) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_education_status#12, 20)) = 4 yr Degree         )) OR ((static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_marital_status#11, 1)) = D) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_education_status#12, 20)) = 2 yr Degree         ))) OR ((static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_marital_status#11, 1)) = S) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_education_status#12, 20)) = College             ))))

(10) CometProject
Input [3]: [cd_demo_sk#10, cd_marital_status#11, cd_education_status#12]
Arguments: [cd_demo_sk#10, cd_marital_status#13, cd_education_status#14], [cd_demo_sk#10, static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_marital_status#11, 1)) AS cd_marital_status#13, static_invoke(CharVarcharCodegenUtils.readSidePadding(cd_education_status#12, 20)) AS cd_education_status#14]

(11) CometBroadcastExchange
Input [3]: [cd_demo_sk#10, cd_marital_status#13, cd_education_status#14]
Arguments: [cd_demo_sk#10, cd_marital_status#13, cd_education_status#14]

(12) CometBroadcastHashJoin
Left output [6]: [ss_cdemo_sk#1, ss_addr_sk#2, ss_quantity#4, ss_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]
Right output [3]: [cd_demo_sk#10, cd_marital_status#13, cd_education_status#14]
Arguments: [ss_cdemo_sk#1], [cd_demo_sk#10], Inner, ((((((cd_marital_status#13 = M) AND (cd_education_status#14 = 4 yr Degree         )) AND (ss_sales_price#5 >= 100.00)) AND (ss_sales_price#5 <= 150.00)) OR ((((cd_marital_status#13 = D) AND (cd_education_status#14 = 2 yr Degree         )) AND (ss_sales_price#5 >= 50.00)) AND (ss_sales_price#5 <= 100.00))) OR ((((cd_marital_status#13 = S) AND (cd_education_status#14 = College             )) AND (ss_sales_price#5 >= 150.00)) AND (ss_sales_price#5 <= 200.00))), BuildRight

(13) CometProject
Input [9]: [ss_cdemo_sk#1, ss_addr_sk#2, ss_quantity#4, ss_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7, cd_demo_sk#10, cd_marital_status#13, cd_education_status#14]
Arguments: [ss_addr_sk#2, ss_quantity#4, ss_net_profit#6, ss_sold_date_sk#7], [ss_addr_sk#2, ss_quantity#4, ss_net_profit#6, ss_sold_date_sk#7]

(14) CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address
Output [3]: [ca_address_sk#15, ca_state#16, ca_country#17]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_country), EqualTo(ca_country,United States), IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_state:string,ca_country:string>

(15) CometFilter
Input [3]: [ca_address_sk#15, ca_state#16, ca_country#17]
Condition : (((isnotnull(ca_country#17) AND (ca_country#17 = United States)) AND isnotnull(ca_address_sk#15)) AND ((static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#16, 2)) IN (CO,OH,TX) OR static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#16, 2)) IN (OR,MN,KY)) OR static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#16, 2)) IN (VA,CA,MS)))

(16) CometProject
Input [3]: [ca_address_sk#15, ca_state#16, ca_country#17]
Arguments: [ca_address_sk#15, ca_state#18], [ca_address_sk#15, static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#16, 2)) AS ca_state#18]

(17) CometBroadcastExchange
Input [2]: [ca_address_sk#15, ca_state#18]
Arguments: [ca_address_sk#15, ca_state#18]

(18) CometBroadcastHashJoin
Left output [4]: [ss_addr_sk#2, ss_quantity#4, ss_net_profit#6, ss_sold_date_sk#7]
Right output [2]: [ca_address_sk#15, ca_state#18]
Arguments: [ss_addr_sk#2], [ca_address_sk#15], Inner, ((((ca_state#18 IN (CO,OH,TX) AND (ss_net_profit#6 >= 0.00)) AND (ss_net_profit#6 <= 2000.00)) OR ((ca_state#18 IN (OR,MN,KY) AND (ss_net_profit#6 >= 150.00)) AND (ss_net_profit#6 <= 3000.00))) OR ((ca_state#18 IN (VA,CA,MS) AND (ss_net_profit#6 >= 50.00)) AND (ss_net_profit#6 <= 25000.00))), BuildRight

(19) CometProject
Input [6]: [ss_addr_sk#2, ss_quantity#4, ss_net_profit#6, ss_sold_date_sk#7, ca_address_sk#15, ca_state#18]
Arguments: [ss_quantity#4, ss_sold_date_sk#7], [ss_quantity#4, ss_sold_date_sk#7]

(20) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#19, d_year#20]
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>

(21) CometFilter
Input [2]: [d_date_sk#19, d_year#20]
Condition : ((isnotnull(d_year#20) AND (d_year#20 = 2001)) AND isnotnull(d_date_sk#19))

(22) CometProject
Input [2]: [d_date_sk#19, d_year#20]
Arguments: [d_date_sk#19], [d_date_sk#19]

(23) CometBroadcastExchange
Input [1]: [d_date_sk#19]
Arguments: [d_date_sk#19]

(24) CometBroadcastHashJoin
Left output [2]: [ss_quantity#4, ss_sold_date_sk#7]
Right output [1]: [d_date_sk#19]
Arguments: [ss_sold_date_sk#7], [d_date_sk#19], Inner, BuildRight

(25) CometProject
Input [3]: [ss_quantity#4, ss_sold_date_sk#7, d_date_sk#19]
Arguments: [ss_quantity#4], [ss_quantity#4]

(26) CometHashAggregate
Input [1]: [ss_quantity#4]
Keys: []
Functions [1]: [partial_sum(ss_quantity#4)]

(27) CometExchange
Input [1]: [sum#21]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(28) CometHashAggregate
Input [1]: [sum#21]
Keys: []
Functions [1]: [sum(ss_quantity#4)]

(29) CometColumnarToRow [codegen id : 1]
Input [1]: [sum(ss_quantity)#22]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#7 IN dynamicpruning#8
BroadcastExchange (34)
+- * CometColumnarToRow (33)
   +- CometProject (32)
      +- CometFilter (31)
         +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (30)


(30) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#19, d_year#20]
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>

(31) CometFilter
Input [2]: [d_date_sk#19, d_year#20]
Condition : ((isnotnull(d_year#20) AND (d_year#20 = 2001)) AND isnotnull(d_date_sk#19))

(32) CometProject
Input [2]: [d_date_sk#19, d_year#20]
Arguments: [d_date_sk#19], [d_date_sk#19]

(33) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#19]

(34) BroadcastExchange
Input [1]: [d_date_sk#19]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]


