== Physical Plan ==
TakeOrderedAndProject (45)
+- * Project (44)
   +- * BroadcastHashJoin Inner BuildRight (43)
      :- * Project (37)
      :  +- * BroadcastHashJoin Inner BuildRight (36)
      :     :- * Project (30)
      :     :  +- * BroadcastHashJoin Inner BuildRight (29)
      :     :     :- * Filter (13)
      :     :     :  +- * HashAggregate (12)
      :     :     :     +- * CometColumnarToRow (11)
      :     :     :        +- CometExchange (10)
      :     :     :           +- CometHashAggregate (9)
      :     :     :              +- CometProject (8)
      :     :     :                 +- CometBroadcastHashJoin (7)
      :     :     :                    :- CometFilter (2)
      :     :     :                    :  +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (1)
      :     :     :                    +- CometBroadcastExchange (6)
      :     :     :                       +- CometProject (5)
      :     :     :                          +- CometFilter (4)
      :     :     :                             +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3)
      :     :     +- BroadcastExchange (28)
      :     :        +- * Filter (27)
      :     :           +- * HashAggregate (26)
      :     :              +- * CometColumnarToRow (25)
      :     :                 +- CometColumnarExchange (24)
      :     :                    +- * HashAggregate (23)
      :     :                       +- * HashAggregate (22)
      :     :                          +- * CometColumnarToRow (21)
      :     :                             +- CometExchange (20)
      :     :                                +- CometHashAggregate (19)
      :     :                                   +- CometProject (18)
      :     :                                      +- CometBroadcastHashJoin (17)
      :     :                                         :- CometFilter (15)
      :     :                                         :  +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (14)
      :     :                                         +- ReusedExchange (16)
      :     +- BroadcastExchange (35)
      :        +- * CometColumnarToRow (34)
      :           +- CometProject (33)
      :              +- CometFilter (32)
      :                 +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (31)
      +- BroadcastExchange (42)
         +- * CometColumnarToRow (41)
            +- CometProject (40)
               +- CometFilter (39)
                  +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (38)


(1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns
Output [4]: [sr_customer_sk#1, sr_store_sk#2, sr_return_amt#3, sr_returned_date_sk#4]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(sr_returned_date_sk#4), dynamicpruningexpression(sr_returned_date_sk#4 IN dynamicpruning#5)]
PushedFilters: [IsNotNull(sr_store_sk), IsNotNull(sr_customer_sk)]
ReadSchema: struct<sr_customer_sk:int,sr_store_sk:int,sr_return_amt:decimal(7,2)>

(2) CometFilter
Input [4]: [sr_customer_sk#1, sr_store_sk#2, sr_return_amt#3, sr_returned_date_sk#4]
Condition : (isnotnull(sr_store_sk#2) AND isnotnull(sr_customer_sk#1))

(3) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#6, d_year#7]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(4) CometFilter
Input [2]: [d_date_sk#6, d_year#7]
Condition : ((isnotnull(d_year#7) AND (d_year#7 = 2000)) AND isnotnull(d_date_sk#6))

(5) CometProject
Input [2]: [d_date_sk#6, d_year#7]
Arguments: [d_date_sk#6], [d_date_sk#6]

(6) CometBroadcastExchange
Input [1]: [d_date_sk#6]
Arguments: [d_date_sk#6]

(7) CometBroadcastHashJoin
Left output [4]: [sr_customer_sk#1, sr_store_sk#2, sr_return_amt#3, sr_returned_date_sk#4]
Right output [1]: [d_date_sk#6]
Arguments: [sr_returned_date_sk#4], [d_date_sk#6], Inner, BuildRight

(8) CometProject
Input [5]: [sr_customer_sk#1, sr_store_sk#2, sr_return_amt#3, sr_returned_date_sk#4, d_date_sk#6]
Arguments: [sr_customer_sk#1, sr_store_sk#2, sr_return_amt#3], [sr_customer_sk#1, sr_store_sk#2, sr_return_amt#3]

(9) CometHashAggregate
Input [3]: [sr_customer_sk#1, sr_store_sk#2, sr_return_amt#3]
Keys [2]: [sr_customer_sk#1, sr_store_sk#2]
Functions [1]: [partial_sum(UnscaledValue(sr_return_amt#3))]

(10) CometExchange
Input [3]: [sr_customer_sk#1, sr_store_sk#2, sum#8]
Arguments: hashpartitioning(sr_customer_sk#1, sr_store_sk#2, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(11) CometColumnarToRow [codegen id : 5]
Input [3]: [sr_customer_sk#1, sr_store_sk#2, sum#8]

(12) HashAggregate [codegen id : 5]
Input [3]: [sr_customer_sk#1, sr_store_sk#2, sum#8]
Keys [2]: [sr_customer_sk#1, sr_store_sk#2]
Functions [1]: [sum(UnscaledValue(sr_return_amt#3))]
Aggregate Attributes [1]: [sum(UnscaledValue(sr_return_amt#3))#9]
Results [3]: [sr_customer_sk#1 AS ctr_customer_sk#10, sr_store_sk#2 AS ctr_store_sk#11, MakeDecimal(sum(UnscaledValue(sr_return_amt#3))#9,17,2) AS ctr_total_return#12]

(13) Filter [codegen id : 5]
Input [3]: [ctr_customer_sk#10, ctr_store_sk#11, ctr_total_return#12]
Condition : isnotnull(ctr_total_return#12)

(14) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns
Output [4]: [sr_customer_sk#13, sr_store_sk#14, sr_return_amt#15, sr_returned_date_sk#16]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(sr_returned_date_sk#16), dynamicpruningexpression(sr_returned_date_sk#16 IN dynamicpruning#17)]
PushedFilters: [IsNotNull(sr_store_sk)]
ReadSchema: struct<sr_customer_sk:int,sr_store_sk:int,sr_return_amt:decimal(7,2)>

(15) CometFilter
Input [4]: [sr_customer_sk#13, sr_store_sk#14, sr_return_amt#15, sr_returned_date_sk#16]
Condition : isnotnull(sr_store_sk#14)

(16) ReusedExchange [Reuses operator id: 6]
Output [1]: [d_date_sk#18]

(17) CometBroadcastHashJoin
Left output [4]: [sr_customer_sk#13, sr_store_sk#14, sr_return_amt#15, sr_returned_date_sk#16]
Right output [1]: [d_date_sk#18]
Arguments: [sr_returned_date_sk#16], [d_date_sk#18], Inner, BuildRight

(18) CometProject
Input [5]: [sr_customer_sk#13, sr_store_sk#14, sr_return_amt#15, sr_returned_date_sk#16, d_date_sk#18]
Arguments: [sr_customer_sk#13, sr_store_sk#14, sr_return_amt#15], [sr_customer_sk#13, sr_store_sk#14, sr_return_amt#15]

(19) CometHashAggregate
Input [3]: [sr_customer_sk#13, sr_store_sk#14, sr_return_amt#15]
Keys [2]: [sr_customer_sk#13, sr_store_sk#14]
Functions [1]: [partial_sum(UnscaledValue(sr_return_amt#15))]

(20) CometExchange
Input [3]: [sr_customer_sk#13, sr_store_sk#14, sum#19]
Arguments: hashpartitioning(sr_customer_sk#13, sr_store_sk#14, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2]

(21) CometColumnarToRow [codegen id : 1]
Input [3]: [sr_customer_sk#13, sr_store_sk#14, sum#19]

(22) HashAggregate [codegen id : 1]
Input [3]: [sr_customer_sk#13, sr_store_sk#14, sum#19]
Keys [2]: [sr_customer_sk#13, sr_store_sk#14]
Functions [1]: [sum(UnscaledValue(sr_return_amt#15))]
Aggregate Attributes [1]: [sum(UnscaledValue(sr_return_amt#15))#9]
Results [2]: [sr_store_sk#14 AS ctr_store_sk#20, MakeDecimal(sum(UnscaledValue(sr_return_amt#15))#9,17,2) AS ctr_total_return#21]

(23) HashAggregate [codegen id : 1]
Input [2]: [ctr_store_sk#20, ctr_total_return#21]
Keys [1]: [ctr_store_sk#20]
Functions [1]: [partial_avg(ctr_total_return#21)]
Aggregate Attributes [2]: [sum#22, count#23]
Results [3]: [ctr_store_sk#20, sum#24, count#25]

(24) CometColumnarExchange
Input [3]: [ctr_store_sk#20, sum#24, count#25]
Arguments: hashpartitioning(ctr_store_sk#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3]

(25) CometColumnarToRow [codegen id : 2]
Input [3]: [ctr_store_sk#20, sum#24, count#25]

(26) HashAggregate [codegen id : 2]
Input [3]: [ctr_store_sk#20, sum#24, count#25]
Keys [1]: [ctr_store_sk#20]
Functions [1]: [avg(ctr_total_return#21)]
Aggregate Attributes [1]: [avg(ctr_total_return#21)#26]
Results [2]: [(avg(ctr_total_return#21)#26 * 1.2) AS (avg(ctr_total_return) * 1.2)#27, ctr_store_sk#20]

(27) Filter [codegen id : 2]
Input [2]: [(avg(ctr_total_return) * 1.2)#27, ctr_store_sk#20]
Condition : isnotnull((avg(ctr_total_return) * 1.2)#27)

(28) BroadcastExchange
Input [2]: [(avg(ctr_total_return) * 1.2)#27, ctr_store_sk#20]
Arguments: HashedRelationBroadcastMode(List(cast(input[1, int, true] as bigint)),false), [plan_id=4]

(29) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [ctr_store_sk#11]
Right keys [1]: [ctr_store_sk#20]
Join type: Inner
Join condition: (cast(ctr_total_return#12 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#27)

(30) Project [codegen id : 5]
Output [2]: [ctr_customer_sk#10, ctr_store_sk#11]
Input [5]: [ctr_customer_sk#10, ctr_store_sk#11, ctr_total_return#12, (avg(ctr_total_return) * 1.2)#27, ctr_store_sk#20]

(31) CometScan [native_iceberg_compat] parquet spark_catalog.default.store
Output [2]: [s_store_sk#28, s_state#29]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_state), IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_state:string>

(32) CometFilter
Input [2]: [s_store_sk#28, s_state#29]
Condition : ((isnotnull(s_state#29) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(s_state#29, 2)) = TN)) AND isnotnull(s_store_sk#28))

(33) CometProject
Input [2]: [s_store_sk#28, s_state#29]
Arguments: [s_store_sk#28], [s_store_sk#28]

(34) CometColumnarToRow [codegen id : 3]
Input [1]: [s_store_sk#28]

(35) BroadcastExchange
Input [1]: [s_store_sk#28]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5]

(36) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [ctr_store_sk#11]
Right keys [1]: [s_store_sk#28]
Join type: Inner
Join condition: None

(37) Project [codegen id : 5]
Output [1]: [ctr_customer_sk#10]
Input [3]: [ctr_customer_sk#10, ctr_store_sk#11, s_store_sk#28]

(38) CometScan [native_iceberg_compat] parquet spark_catalog.default.customer
Output [2]: [c_customer_sk#30, c_customer_id#31]
Batched: true
Location [not included in comparison]/{warehouse_dir}/customer]
PushedFilters: [IsNotNull(c_customer_sk)]
ReadSchema: struct<c_customer_sk:int,c_customer_id:string>

(39) CometFilter
Input [2]: [c_customer_sk#30, c_customer_id#31]
Condition : isnotnull(c_customer_sk#30)

(40) CometProject
Input [2]: [c_customer_sk#30, c_customer_id#31]
Arguments: [c_customer_sk#30, c_customer_id#32], [c_customer_sk#30, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#31, 16)) AS c_customer_id#32]

(41) CometColumnarToRow [codegen id : 4]
Input [2]: [c_customer_sk#30, c_customer_id#32]

(42) BroadcastExchange
Input [2]: [c_customer_sk#30, c_customer_id#32]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6]

(43) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [ctr_customer_sk#10]
Right keys [1]: [c_customer_sk#30]
Join type: Inner
Join condition: None

(44) Project [codegen id : 5]
Output [1]: [c_customer_id#32]
Input [3]: [ctr_customer_sk#10, c_customer_sk#30, c_customer_id#32]

(45) TakeOrderedAndProject
Input [1]: [c_customer_id#32]
Arguments: 100, [c_customer_id#32 ASC NULLS FIRST], [c_customer_id#32]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = sr_returned_date_sk#4 IN dynamicpruning#5
BroadcastExchange (50)
+- * CometColumnarToRow (49)
   +- CometProject (48)
      +- CometFilter (47)
         +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (46)


(46) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#6, d_year#7]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int>

(47) CometFilter
Input [2]: [d_date_sk#6, d_year#7]
Condition : ((isnotnull(d_year#7) AND (d_year#7 = 2000)) AND isnotnull(d_date_sk#6))

(48) CometProject
Input [2]: [d_date_sk#6, d_year#7]
Arguments: [d_date_sk#6], [d_date_sk#6]

(49) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#6]

(50) BroadcastExchange
Input [1]: [d_date_sk#6]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7]

Subquery:2 Hosting operator id = 14 Hosting Expression = sr_returned_date_sk#16 IN dynamicpruning#5


