== Physical Plan ==
TakeOrderedAndProject (34)
+- * Project (33)
   +- * BroadcastHashJoin Inner BuildRight (32)
      :- * Project (30)
      :  +- * BroadcastHashJoin Inner BuildRight (29)
      :     :- * Project (23)
      :     :  +- * SortMergeJoin Inner (22)
      :     :     :- * Sort (14)
      :     :     :  +- * Project (13)
      :     :     :     +- * Filter (12)
      :     :     :        +- Window (11)
      :     :     :           +- * CometColumnarToRow (10)
      :     :     :              +- CometSort (9)
      :     :     :                 +- CometExchange (8)
      :     :     :                    +- CometFilter (7)
      :     :     :                       +- CometHashAggregate (6)
      :     :     :                          +- CometExchange (5)
      :     :     :                             +- CometHashAggregate (4)
      :     :     :                                +- CometProject (3)
      :     :     :                                   +- CometFilter (2)
      :     :     :                                      +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1)
      :     :     +- * Sort (21)
      :     :        +- * Project (20)
      :     :           +- * Filter (19)
      :     :              +- Window (18)
      :     :                 +- * CometColumnarToRow (17)
      :     :                    +- CometSort (16)
      :     :                       +- ReusedExchange (15)
      :     +- BroadcastExchange (28)
      :        +- * CometColumnarToRow (27)
      :           +- CometProject (26)
      :              +- CometFilter (25)
      :                 +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (24)
      +- ReusedExchange (31)


(1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales
Output [4]: [ss_item_sk#1, ss_store_sk#2, ss_net_profit#3, ss_sold_date_sk#4]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store_sales]
PushedFilters: [IsNotNull(ss_store_sk), EqualTo(ss_store_sk,4)]
ReadSchema: struct<ss_item_sk:int,ss_store_sk:int,ss_net_profit:decimal(7,2)>

(2) CometFilter
Input [4]: [ss_item_sk#1, ss_store_sk#2, ss_net_profit#3, ss_sold_date_sk#4]
Condition : (isnotnull(ss_store_sk#2) AND (ss_store_sk#2 = 4))

(3) CometProject
Input [4]: [ss_item_sk#1, ss_store_sk#2, ss_net_profit#3, ss_sold_date_sk#4]
Arguments: [ss_item_sk#1, ss_net_profit#3], [ss_item_sk#1, ss_net_profit#3]

(4) CometHashAggregate
Input [2]: [ss_item_sk#1, ss_net_profit#3]
Keys [1]: [ss_item_sk#1]
Functions [1]: [partial_avg(UnscaledValue(ss_net_profit#3))]

(5) CometExchange
Input [3]: [ss_item_sk#1, sum#5, count#6]
Arguments: hashpartitioning(ss_item_sk#1, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(6) CometHashAggregate
Input [3]: [ss_item_sk#1, sum#5, count#6]
Keys [1]: [ss_item_sk#1]
Functions [1]: [avg(UnscaledValue(ss_net_profit#3))]

(7) CometFilter
Input [2]: [item_sk#7, rank_col#8]
Condition : (isnotnull(rank_col#8) AND (cast(rank_col#8 as decimal(13,7)) > (0.9 * Subquery scalar-subquery#9, [id=#10])))

(8) CometExchange
Input [2]: [item_sk#7, rank_col#8]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2]

(9) CometSort
Input [2]: [item_sk#7, rank_col#8]
Arguments: [item_sk#7, rank_col#8], [rank_col#8 ASC NULLS FIRST]

(10) CometColumnarToRow [codegen id : 1]
Input [2]: [item_sk#7, rank_col#8]

(11) Window
Input [2]: [item_sk#7, rank_col#8]
Arguments: [rank(rank_col#8) windowspecdefinition(rank_col#8 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rnk#11], [rank_col#8 ASC NULLS FIRST]

(12) Filter [codegen id : 2]
Input [3]: [item_sk#7, rank_col#8, rnk#11]
Condition : ((rnk#11 < 11) AND isnotnull(item_sk#7))

(13) Project [codegen id : 2]
Output [2]: [item_sk#7, rnk#11]
Input [3]: [item_sk#7, rank_col#8, rnk#11]

(14) Sort [codegen id : 2]
Input [2]: [item_sk#7, rnk#11]
Arguments: [rnk#11 ASC NULLS FIRST], false, 0

(15) ReusedExchange [Reuses operator id: 8]
Output [2]: [item_sk#12, rank_col#13]

(16) CometSort
Input [2]: [item_sk#12, rank_col#13]
Arguments: [item_sk#12, rank_col#13], [rank_col#13 DESC NULLS LAST]

(17) CometColumnarToRow [codegen id : 3]
Input [2]: [item_sk#12, rank_col#13]

(18) Window
Input [2]: [item_sk#12, rank_col#13]
Arguments: [rank(rank_col#13) windowspecdefinition(rank_col#13 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rnk#14], [rank_col#13 DESC NULLS LAST]

(19) Filter [codegen id : 4]
Input [3]: [item_sk#12, rank_col#13, rnk#14]
Condition : ((rnk#14 < 11) AND isnotnull(item_sk#12))

(20) Project [codegen id : 4]
Output [2]: [item_sk#12, rnk#14]
Input [3]: [item_sk#12, rank_col#13, rnk#14]

(21) Sort [codegen id : 4]
Input [2]: [item_sk#12, rnk#14]
Arguments: [rnk#14 ASC NULLS FIRST], false, 0

(22) SortMergeJoin [codegen id : 7]
Left keys [1]: [rnk#11]
Right keys [1]: [rnk#14]
Join type: Inner
Join condition: None

(23) Project [codegen id : 7]
Output [3]: [item_sk#7, rnk#11, item_sk#12]
Input [4]: [item_sk#7, rnk#11, item_sk#12, rnk#14]

(24) CometScan [native_iceberg_compat] parquet spark_catalog.default.item
Output [2]: [i_item_sk#15, i_product_name#16]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_product_name:string>

(25) CometFilter
Input [2]: [i_item_sk#15, i_product_name#16]
Condition : isnotnull(i_item_sk#15)

(26) CometProject
Input [2]: [i_item_sk#15, i_product_name#16]
Arguments: [i_item_sk#15, i_product_name#17], [i_item_sk#15, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_product_name#16, 50, true, false, true) AS i_product_name#17]

(27) CometColumnarToRow [codegen id : 5]
Input [2]: [i_item_sk#15, i_product_name#17]

(28) BroadcastExchange
Input [2]: [i_item_sk#15, i_product_name#17]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]

(29) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [item_sk#7]
Right keys [1]: [i_item_sk#15]
Join type: Inner
Join condition: None

(30) Project [codegen id : 7]
Output [3]: [rnk#11, item_sk#12, i_product_name#17]
Input [5]: [item_sk#7, rnk#11, item_sk#12, i_item_sk#15, i_product_name#17]

(31) ReusedExchange [Reuses operator id: 28]
Output [2]: [i_item_sk#18, i_product_name#19]

(32) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [item_sk#12]
Right keys [1]: [i_item_sk#18]
Join type: Inner
Join condition: None

(33) Project [codegen id : 7]
Output [3]: [rnk#11, i_product_name#17 AS best_performing#20, i_product_name#19 AS worst_performing#21]
Input [5]: [rnk#11, item_sk#12, i_product_name#17, i_item_sk#18, i_product_name#19]

(34) TakeOrderedAndProject
Input [3]: [rnk#11, best_performing#20, worst_performing#21]
Arguments: 100, [rnk#11 ASC NULLS FIRST], [rnk#11, best_performing#20, worst_performing#21]

===== Subqueries =====

Subquery:1 Hosting operator id = 7 Hosting Expression = Subquery scalar-subquery#9, [id=#10]
* CometColumnarToRow (41)
+- CometHashAggregate (40)
   +- CometExchange (39)
      +- CometHashAggregate (38)
         +- CometProject (37)
            +- CometFilter (36)
               +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (35)


(35) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales
Output [4]: [ss_addr_sk#22, ss_store_sk#23, ss_net_profit#24, ss_sold_date_sk#25]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store_sales]
PushedFilters: [IsNotNull(ss_store_sk), EqualTo(ss_store_sk,4), IsNull(ss_addr_sk)]
ReadSchema: struct<ss_addr_sk:int,ss_store_sk:int,ss_net_profit:decimal(7,2)>

(36) CometFilter
Input [4]: [ss_addr_sk#22, ss_store_sk#23, ss_net_profit#24, ss_sold_date_sk#25]
Condition : ((isnotnull(ss_store_sk#23) AND (ss_store_sk#23 = 4)) AND isnull(ss_addr_sk#22))

(37) CometProject
Input [4]: [ss_addr_sk#22, ss_store_sk#23, ss_net_profit#24, ss_sold_date_sk#25]
Arguments: [ss_store_sk#23, ss_net_profit#24], [ss_store_sk#23, ss_net_profit#24]

(38) CometHashAggregate
Input [2]: [ss_store_sk#23, ss_net_profit#24]
Keys [1]: [ss_store_sk#23]
Functions [1]: [partial_avg(UnscaledValue(ss_net_profit#24))]

(39) CometExchange
Input [3]: [ss_store_sk#23, sum#26, count#27]
Arguments: hashpartitioning(ss_store_sk#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4]

(40) CometHashAggregate
Input [3]: [ss_store_sk#23, sum#26, count#27]
Keys [1]: [ss_store_sk#23]
Functions [1]: [avg(UnscaledValue(ss_net_profit#24))]

(41) CometColumnarToRow [codegen id : 1]
Input [1]: [rank_col#28]


