== Physical Plan ==
* CometColumnarToRow (30)
+- CometHashAggregate (29)
   +- CometExchange (28)
      +- CometHashAggregate (27)
         +- CometProject (26)
            +- CometBroadcastHashJoin (25)
               :- CometProject (23)
               :  +- CometBroadcastHashJoin (22)
               :     :- CometProject (8)
               :     :  +- CometBroadcastHashJoin (7)
               :     :     :- CometFilter (2)
               :     :     :  +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (1)
               :     :     +- CometBroadcastExchange (6)
               :     :        +- CometProject (5)
               :     :           +- CometFilter (4)
               :     :              +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (3)
               :     +- CometBroadcastExchange (21)
               :        +- CometFilter (20)
               :           +- CometHashAggregate (19)
               :              +- CometExchange (18)
               :                 +- CometHashAggregate (17)
               :                    +- CometProject (16)
               :                       +- CometBroadcastHashJoin (15)
               :                          :- CometFilter (10)
               :                          :  +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (9)
               :                          +- CometBroadcastExchange (14)
               :                             +- CometProject (13)
               :                                +- CometFilter (12)
               :                                   +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (11)
               +- ReusedExchange (24)


(1) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales
Output [3]: [ws_item_sk#1, ws_ext_discount_amt#2, ws_sold_date_sk#3]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#3), dynamicpruningexpression(ws_sold_date_sk#3 IN dynamicpruning#4)]
PushedFilters: [IsNotNull(ws_item_sk), IsNotNull(ws_ext_discount_amt)]
ReadSchema: struct<ws_item_sk:int,ws_ext_discount_amt:decimal(7,2)>

(2) CometFilter
Input [3]: [ws_item_sk#1, ws_ext_discount_amt#2, ws_sold_date_sk#3]
Condition : (isnotnull(ws_item_sk#1) AND isnotnull(ws_ext_discount_amt#2))

(3) CometScan [native_iceberg_compat] parquet spark_catalog.default.item
Output [2]: [i_item_sk#5, i_manufact_id#6]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_manufact_id), EqualTo(i_manufact_id,350), IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_manufact_id:int>

(4) CometFilter
Input [2]: [i_item_sk#5, i_manufact_id#6]
Condition : ((isnotnull(i_manufact_id#6) AND (i_manufact_id#6 = 350)) AND isnotnull(i_item_sk#5))

(5) CometProject
Input [2]: [i_item_sk#5, i_manufact_id#6]
Arguments: [i_item_sk#5], [i_item_sk#5]

(6) CometBroadcastExchange
Input [1]: [i_item_sk#5]
Arguments: [i_item_sk#5]

(7) CometBroadcastHashJoin
Left output [3]: [ws_item_sk#1, ws_ext_discount_amt#2, ws_sold_date_sk#3]
Right output [1]: [i_item_sk#5]
Arguments: [ws_item_sk#1], [i_item_sk#5], Inner, BuildRight

(8) CometProject
Input [4]: [ws_item_sk#1, ws_ext_discount_amt#2, ws_sold_date_sk#3, i_item_sk#5]
Arguments: [ws_ext_discount_amt#2, ws_sold_date_sk#3, i_item_sk#5], [ws_ext_discount_amt#2, ws_sold_date_sk#3, i_item_sk#5]

(9) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales
Output [3]: [ws_item_sk#7, ws_ext_discount_amt#8, ws_sold_date_sk#9]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#9), dynamicpruningexpression(ws_sold_date_sk#9 IN dynamicpruning#10)]
PushedFilters: [IsNotNull(ws_item_sk)]
ReadSchema: struct<ws_item_sk:int,ws_ext_discount_amt:decimal(7,2)>

(10) CometFilter
Input [3]: [ws_item_sk#7, ws_ext_discount_amt#8, ws_sold_date_sk#9]
Condition : isnotnull(ws_item_sk#7)

(11) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#11, d_date#12]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-01-27), LessThanOrEqual(d_date,2000-04-26), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(12) CometFilter
Input [2]: [d_date_sk#11, d_date#12]
Condition : (((isnotnull(d_date#12) AND (d_date#12 >= 2000-01-27)) AND (d_date#12 <= 2000-04-26)) AND isnotnull(d_date_sk#11))

(13) CometProject
Input [2]: [d_date_sk#11, d_date#12]
Arguments: [d_date_sk#11], [d_date_sk#11]

(14) CometBroadcastExchange
Input [1]: [d_date_sk#11]
Arguments: [d_date_sk#11]

(15) CometBroadcastHashJoin
Left output [3]: [ws_item_sk#7, ws_ext_discount_amt#8, ws_sold_date_sk#9]
Right output [1]: [d_date_sk#11]
Arguments: [ws_sold_date_sk#9], [d_date_sk#11], Inner, BuildRight

(16) CometProject
Input [4]: [ws_item_sk#7, ws_ext_discount_amt#8, ws_sold_date_sk#9, d_date_sk#11]
Arguments: [ws_item_sk#7, ws_ext_discount_amt#8], [ws_item_sk#7, ws_ext_discount_amt#8]

(17) CometHashAggregate
Input [2]: [ws_item_sk#7, ws_ext_discount_amt#8]
Keys [1]: [ws_item_sk#7]
Functions [1]: [partial_avg(UnscaledValue(ws_ext_discount_amt#8))]

(18) CometExchange
Input [3]: [ws_item_sk#7, sum#13, count#14]
Arguments: hashpartitioning(ws_item_sk#7, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(19) CometHashAggregate
Input [3]: [ws_item_sk#7, sum#13, count#14]
Keys [1]: [ws_item_sk#7]
Functions [1]: [avg(UnscaledValue(ws_ext_discount_amt#8))]

(20) CometFilter
Input [2]: [(1.3 * avg(ws_ext_discount_amt))#15, ws_item_sk#7]
Condition : isnotnull((1.3 * avg(ws_ext_discount_amt))#15)

(21) CometBroadcastExchange
Input [2]: [(1.3 * avg(ws_ext_discount_amt))#15, ws_item_sk#7]
Arguments: [(1.3 * avg(ws_ext_discount_amt))#15, ws_item_sk#7]

(22) CometBroadcastHashJoin
Left output [3]: [ws_ext_discount_amt#2, ws_sold_date_sk#3, i_item_sk#5]
Right output [2]: [(1.3 * avg(ws_ext_discount_amt))#15, ws_item_sk#7]
Arguments: [i_item_sk#5], [ws_item_sk#7], Inner, (cast(ws_ext_discount_amt#2 as decimal(14,7)) > (1.3 * avg(ws_ext_discount_amt))#15), BuildRight

(23) CometProject
Input [5]: [ws_ext_discount_amt#2, ws_sold_date_sk#3, i_item_sk#5, (1.3 * avg(ws_ext_discount_amt))#15, ws_item_sk#7]
Arguments: [ws_ext_discount_amt#2, ws_sold_date_sk#3], [ws_ext_discount_amt#2, ws_sold_date_sk#3]

(24) ReusedExchange [Reuses operator id: 14]
Output [1]: [d_date_sk#16]

(25) CometBroadcastHashJoin
Left output [2]: [ws_ext_discount_amt#2, ws_sold_date_sk#3]
Right output [1]: [d_date_sk#16]
Arguments: [ws_sold_date_sk#3], [d_date_sk#16], Inner, BuildRight

(26) CometProject
Input [3]: [ws_ext_discount_amt#2, ws_sold_date_sk#3, d_date_sk#16]
Arguments: [ws_ext_discount_amt#2], [ws_ext_discount_amt#2]

(27) CometHashAggregate
Input [1]: [ws_ext_discount_amt#2]
Keys: []
Functions [1]: [partial_sum(UnscaledValue(ws_ext_discount_amt#2))]

(28) CometExchange
Input [1]: [sum#17]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2]

(29) CometHashAggregate
Input [1]: [sum#17]
Keys: []
Functions [1]: [sum(UnscaledValue(ws_ext_discount_amt#2))]

(30) CometColumnarToRow [codegen id : 1]
Input [1]: [Excess Discount Amount #18]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4
BroadcastExchange (35)
+- * CometColumnarToRow (34)
   +- CometProject (33)
      +- CometFilter (32)
         +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (31)


(31) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#16, d_date#19]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-01-27), LessThanOrEqual(d_date,2000-04-26), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(32) CometFilter
Input [2]: [d_date_sk#16, d_date#19]
Condition : (((isnotnull(d_date#19) AND (d_date#19 >= 2000-01-27)) AND (d_date#19 <= 2000-04-26)) AND isnotnull(d_date_sk#16))

(33) CometProject
Input [2]: [d_date_sk#16, d_date#19]
Arguments: [d_date_sk#16], [d_date_sk#16]

(34) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#16]

(35) BroadcastExchange
Input [1]: [d_date_sk#16]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]

Subquery:2 Hosting operator id = 9 Hosting Expression = ws_sold_date_sk#9 IN dynamicpruning#4


