== Physical Plan ==
* HashAggregate (30)
+- * CometColumnarToRow (29)
   +- CometColumnarExchange (28)
      +- * HashAggregate (27)
         +- * Project (26)
            +- * BroadcastHashJoin Inner BuildRight (25)
               :- * Project (23)
               :  +- * BroadcastHashJoin Inner BuildRight (22)
               :     :- * Project (16)
               :     :  +- * BroadcastHashJoin Inner BuildRight (15)
               :     :     :- * Project (9)
               :     :     :  +- * BroadcastHashJoin Inner BuildRight (8)
               :     :     :     :- * Filter (3)
               :     :     :     :  +- * ColumnarToRow (2)
               :     :     :     :     +- Scan parquet spark_catalog.default.store_sales (1)
               :     :     :     +- BroadcastExchange (7)
               :     :     :        +- * CometColumnarToRow (6)
               :     :     :           +- CometFilter (5)
               :     :     :              +- CometNativeScan parquet spark_catalog.default.store (4)
               :     :     +- BroadcastExchange (14)
               :     :        +- * CometColumnarToRow (13)
               :     :           +- CometProject (12)
               :     :              +- CometFilter (11)
               :     :                 +- CometNativeScan parquet spark_catalog.default.customer_demographics (10)
               :     +- BroadcastExchange (21)
               :        +- * CometColumnarToRow (20)
               :           +- CometProject (19)
               :              +- CometFilter (18)
               :                 +- CometNativeScan parquet spark_catalog.default.customer_address (17)
               +- ReusedExchange (24)


(1) Scan 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) ColumnarToRow [codegen id : 5]
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]

(3) Filter [codegen id : 5]
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))))

(4) CometNativeScan 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>

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

(6) CometColumnarToRow [codegen id : 1]
Input [1]: [s_store_sk#9]

(7) BroadcastExchange
Input [1]: [s_store_sk#9]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=1]

(8) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [ss_store_sk#3]
Right keys [1]: [s_store_sk#9]
Join type: Inner
Join condition: None

(9) Project [codegen id : 5]
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]
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]

(10) CometNativeScan 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>

(11) 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             ))))

(12) 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]

(13) CometColumnarToRow [codegen id : 2]
Input [3]: [cd_demo_sk#10, cd_marital_status#13, cd_education_status#14]

(14) BroadcastExchange
Input [3]: [cd_demo_sk#10, cd_marital_status#13, cd_education_status#14]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]

(15) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [ss_cdemo_sk#1]
Right keys [1]: [cd_demo_sk#10]
Join type: Inner
Join condition: ((((((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)))

(16) Project [codegen id : 5]
Output [4]: [ss_addr_sk#2, ss_quantity#4, ss_net_profit#6, ss_sold_date_sk#7]
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]

(17) CometNativeScan 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>

(18) 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)))

(19) 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]

(20) CometColumnarToRow [codegen id : 3]
Input [2]: [ca_address_sk#15, ca_state#18]

(21) BroadcastExchange
Input [2]: [ca_address_sk#15, ca_state#18]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]

(22) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [ss_addr_sk#2]
Right keys [1]: [ca_address_sk#15]
Join type: Inner
Join condition: ((((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)))

(23) Project [codegen id : 5]
Output [2]: [ss_quantity#4, ss_sold_date_sk#7]
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]

(24) ReusedExchange [Reuses operator id: 35]
Output [1]: [d_date_sk#19]

(25) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [ss_sold_date_sk#7]
Right keys [1]: [d_date_sk#19]
Join type: Inner
Join condition: None

(26) Project [codegen id : 5]
Output [1]: [ss_quantity#4]
Input [3]: [ss_quantity#4, ss_sold_date_sk#7, d_date_sk#19]

(27) HashAggregate [codegen id : 5]
Input [1]: [ss_quantity#4]
Keys: []
Functions [1]: [partial_sum(ss_quantity#4)]
Aggregate Attributes [1]: [sum#20]
Results [1]: [sum#21]

(28) CometColumnarExchange
Input [1]: [sum#21]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4]

(29) CometColumnarToRow [codegen id : 6]
Input [1]: [sum#21]

(30) HashAggregate [codegen id : 6]
Input [1]: [sum#21]
Keys: []
Functions [1]: [sum(ss_quantity#4)]
Aggregate Attributes [1]: [sum(ss_quantity#4)#22]
Results [1]: [sum(ss_quantity#4)#22 AS sum(ss_quantity)#23]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#7 IN dynamicpruning#8
BroadcastExchange (35)
+- * CometColumnarToRow (34)
   +- CometProject (33)
      +- CometFilter (32)
         +- CometNativeScan parquet spark_catalog.default.date_dim (31)


(31) CometNativeScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#19, d_year#24]
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>

(32) CometFilter
Input [2]: [d_date_sk#19, d_year#24]
Condition : ((isnotnull(d_year#24) AND (d_year#24 = 2001)) AND isnotnull(d_date_sk#19))

(33) CometProject
Input [2]: [d_date_sk#19, d_year#24]
Arguments: [d_date_sk#19], [d_date_sk#19]

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

(35) BroadcastExchange
Input [1]: [d_date_sk#19]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5]


