== Physical Plan ==
TakeOrderedAndProject (24)
+- * Project (23)
   +- Window (22)
      +- * CometColumnarToRow (21)
         +- CometSort (20)
            +- CometColumnarExchange (19)
               +- * HashAggregate (18)
                  +- * CometColumnarToRow (17)
                     +- CometExchange (16)
                        +- CometHashAggregate (15)
                           +- CometProject (14)
                              +- CometBroadcastHashJoin (13)
                                 :- 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 (12)
                                    +- CometProject (11)
                                       +- CometFilter (10)
                                          +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (9)


(1) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales
Output [3]: [ws_item_sk#1, ws_ext_sales_price#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)]
ReadSchema: struct<ws_item_sk:int,ws_ext_sales_price:decimal(7,2)>

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

(3) CometScan [native_iceberg_compat] parquet spark_catalog.default.item
Output [6]: [i_item_sk#5, i_item_id#6, i_item_desc#7, i_current_price#8, i_class#9, i_category#10]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_item_id:string,i_item_desc:string,i_current_price:decimal(7,2),i_class:string,i_category:string>

(4) CometFilter
Input [6]: [i_item_sk#5, i_item_id#6, i_item_desc#7, i_current_price#8, i_class#9, i_category#10]
Condition : (static_invoke(CharVarcharCodegenUtils.readSidePadding(i_category#10, 50)) IN (Sports                                            ,Books                                             ,Home                                              ) AND isnotnull(i_item_sk#5))

(5) CometProject
Input [6]: [i_item_sk#5, i_item_id#6, i_item_desc#7, i_current_price#8, i_class#9, i_category#10]
Arguments: [i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13], [i_item_sk#5, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_item_id#6, 16)) AS i_item_id#11, i_item_desc#7, i_current_price#8, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_class#9, 50)) AS i_class#12, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_category#10, 50)) AS i_category#13]

(6) CometBroadcastExchange
Input [6]: [i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13]
Arguments: [i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13]

(7) CometBroadcastHashJoin
Left output [3]: [ws_item_sk#1, ws_ext_sales_price#2, ws_sold_date_sk#3]
Right output [6]: [i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13]
Arguments: [ws_item_sk#1], [i_item_sk#5], Inner, BuildRight

(8) CometProject
Input [9]: [ws_item_sk#1, ws_ext_sales_price#2, ws_sold_date_sk#3, i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13]
Arguments: [ws_ext_sales_price#2, ws_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13], [ws_ext_sales_price#2, ws_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13]

(9) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#14, d_date#15]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(10) CometFilter
Input [2]: [d_date_sk#14, d_date#15]
Condition : (((isnotnull(d_date#15) AND (d_date#15 >= 1999-02-22)) AND (d_date#15 <= 1999-03-24)) AND isnotnull(d_date_sk#14))

(11) CometProject
Input [2]: [d_date_sk#14, d_date#15]
Arguments: [d_date_sk#14], [d_date_sk#14]

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

(13) CometBroadcastHashJoin
Left output [7]: [ws_ext_sales_price#2, ws_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13]
Right output [1]: [d_date_sk#14]
Arguments: [ws_sold_date_sk#3], [d_date_sk#14], Inner, BuildRight

(14) CometProject
Input [8]: [ws_ext_sales_price#2, ws_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13, d_date_sk#14]
Arguments: [ws_ext_sales_price#2, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13], [ws_ext_sales_price#2, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13]

(15) CometHashAggregate
Input [6]: [ws_ext_sales_price#2, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13]
Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8]
Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#2))]

(16) CometExchange
Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16]
Arguments: hashpartitioning(i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(17) CometColumnarToRow [codegen id : 1]
Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16]

(18) HashAggregate [codegen id : 1]
Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16]
Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8]
Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#2))]
Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#2))#17]
Results [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#2))#17,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#2))#17,17,2) AS _w0#19]

(19) CometColumnarExchange
Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19]
Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2]

(20) CometSort
Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19]
Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19], [i_class#12 ASC NULLS FIRST]

(21) CometColumnarToRow [codegen id : 2]
Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19]

(22) Window
Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19]
Arguments: [sum(_w0#19) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#12]

(23) Project [codegen id : 3]
Output [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21]
Input [8]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, _we0#20]

(24) TakeOrderedAndProject
Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21]
Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST], [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21]

===== Subqueries =====

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


(25) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#14, d_date#15]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(26) CometFilter
Input [2]: [d_date_sk#14, d_date#15]
Condition : (((isnotnull(d_date#15) AND (d_date#15 >= 1999-02-22)) AND (d_date#15 <= 1999-03-24)) AND isnotnull(d_date_sk#14))

(27) CometProject
Input [2]: [d_date_sk#14, d_date#15]
Arguments: [d_date_sk#14], [d_date_sk#14]

(28) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#14]

(29) BroadcastExchange
Input [1]: [d_date_sk#14]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]


