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


(1) Scan parquet spark_catalog.default.catalog_sales
Output [3]: [cs_bill_customer_sk#1, cs_sales_price#2, cs_sold_date_sk#3]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#3), dynamicpruningexpression(cs_sold_date_sk#3 IN dynamicpruning#4)]
PushedFilters: [IsNotNull(cs_bill_customer_sk)]
ReadSchema: struct<cs_bill_customer_sk:int,cs_sales_price:decimal(7,2)>

(2) ColumnarToRow [codegen id : 4]
Input [3]: [cs_bill_customer_sk#1, cs_sales_price#2, cs_sold_date_sk#3]

(3) Filter [codegen id : 4]
Input [3]: [cs_bill_customer_sk#1, cs_sales_price#2, cs_sold_date_sk#3]
Condition : isnotnull(cs_bill_customer_sk#1)

(4) CometNativeScan parquet spark_catalog.default.customer
Output [2]: [c_customer_sk#5, c_current_addr_sk#6]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer]
PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk)]
ReadSchema: struct<c_customer_sk:int,c_current_addr_sk:int>

(5) CometFilter
Input [2]: [c_customer_sk#5, c_current_addr_sk#6]
Condition : (isnotnull(c_customer_sk#5) AND isnotnull(c_current_addr_sk#6))

(6) CometColumnarToRow [codegen id : 1]
Input [2]: [c_customer_sk#5, c_current_addr_sk#6]

(7) BroadcastExchange
Input [2]: [c_customer_sk#5, c_current_addr_sk#6]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=1]

(8) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [cs_bill_customer_sk#1]
Right keys [1]: [c_customer_sk#5]
Join type: Inner
Join condition: None

(9) Project [codegen id : 4]
Output [3]: [cs_sales_price#2, cs_sold_date_sk#3, c_current_addr_sk#6]
Input [5]: [cs_bill_customer_sk#1, cs_sales_price#2, cs_sold_date_sk#3, c_customer_sk#5, c_current_addr_sk#6]

(10) CometNativeScan parquet spark_catalog.default.customer_address
Output [3]: [ca_address_sk#7, ca_state#8, ca_zip#9]
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_zip:string>

(11) CometFilter
Input [3]: [ca_address_sk#7, ca_state#8, ca_zip#9]
Condition : isnotnull(ca_address_sk#7)

(12) CometProject
Input [3]: [ca_address_sk#7, ca_state#8, ca_zip#9]
Arguments: [ca_address_sk#7, ca_state#10, ca_zip#11], [ca_address_sk#7, static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#8, 2)) AS ca_state#10, static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_zip#9, 10)) AS ca_zip#11]

(13) CometColumnarToRow [codegen id : 2]
Input [3]: [ca_address_sk#7, ca_state#10, ca_zip#11]

(14) BroadcastExchange
Input [3]: [ca_address_sk#7, ca_state#10, ca_zip#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]

(15) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [c_current_addr_sk#6]
Right keys [1]: [ca_address_sk#7]
Join type: Inner
Join condition: ((substr(ca_zip#11, 1, 5) IN (85669,86197,88274,83405,86475,85392,85460,80348,81792) OR ca_state#10 IN (CA,WA,GA)) OR (cs_sales_price#2 > 500.00))

(16) Project [codegen id : 4]
Output [3]: [cs_sales_price#2, cs_sold_date_sk#3, ca_zip#11]
Input [6]: [cs_sales_price#2, cs_sold_date_sk#3, c_current_addr_sk#6, ca_address_sk#7, ca_state#10, ca_zip#11]

(17) ReusedExchange [Reuses operator id: 29]
Output [1]: [d_date_sk#12]

(18) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [cs_sold_date_sk#3]
Right keys [1]: [d_date_sk#12]
Join type: Inner
Join condition: None

(19) Project [codegen id : 4]
Output [2]: [cs_sales_price#2, ca_zip#11]
Input [4]: [cs_sales_price#2, cs_sold_date_sk#3, ca_zip#11, d_date_sk#12]

(20) HashAggregate [codegen id : 4]
Input [2]: [cs_sales_price#2, ca_zip#11]
Keys [1]: [ca_zip#11]
Functions [1]: [partial_sum(UnscaledValue(cs_sales_price#2))]
Aggregate Attributes [1]: [sum#13]
Results [2]: [ca_zip#11, sum#14]

(21) CometColumnarExchange
Input [2]: [ca_zip#11, sum#14]
Arguments: hashpartitioning(ca_zip#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3]

(22) CometColumnarToRow [codegen id : 5]
Input [2]: [ca_zip#11, sum#14]

(23) HashAggregate [codegen id : 5]
Input [2]: [ca_zip#11, sum#14]
Keys [1]: [ca_zip#11]
Functions [1]: [sum(UnscaledValue(cs_sales_price#2))]
Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#2))#15]
Results [2]: [ca_zip#11, MakeDecimal(sum(UnscaledValue(cs_sales_price#2))#15,17,2) AS sum(cs_sales_price)#16]

(24) TakeOrderedAndProject
Input [2]: [ca_zip#11, sum(cs_sales_price)#16]
Arguments: 100, [ca_zip#11 ASC NULLS FIRST], [ca_zip#11, sum(cs_sales_price)#16]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#3 IN dynamicpruning#4
BroadcastExchange (29)
+- * CometColumnarToRow (28)
   +- CometProject (27)
      +- CometFilter (26)
         +- CometNativeScan parquet spark_catalog.default.date_dim (25)


(25) CometNativeScan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#12, d_year#17, d_qoy#18]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,2), EqualTo(d_year,2001), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_qoy:int>

(26) CometFilter
Input [3]: [d_date_sk#12, d_year#17, d_qoy#18]
Condition : ((((isnotnull(d_qoy#18) AND isnotnull(d_year#17)) AND (d_qoy#18 = 2)) AND (d_year#17 = 2001)) AND isnotnull(d_date_sk#12))

(27) CometProject
Input [3]: [d_date_sk#12, d_year#17, d_qoy#18]
Arguments: [d_date_sk#12], [d_date_sk#12]

(28) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#12]

(29) BroadcastExchange
Input [1]: [d_date_sk#12]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4]


