== Physical Plan ==
TakeOrderedAndProject (22)
+- * Project (21)
   +- Window (20)
      +- * CometColumnarToRow (19)
         +- CometSort (18)
            +- CometExchange (17)
               +- CometHashAggregate (16)
                  +- CometExchange (15)
                     +- CometHashAggregate (14)
                        +- CometProject (13)
                           +- CometBroadcastHashJoin (12)
                              :- CometProject (7)
                              :  +- CometBroadcastHashJoin (6)
                              :     :- CometFilter (2)
                              :     :  +- CometScan parquet spark_catalog.default.catalog_sales (1)
                              :     +- CometBroadcastExchange (5)
                              :        +- CometFilter (4)
                              :           +- CometScan parquet spark_catalog.default.item (3)
                              +- CometBroadcastExchange (11)
                                 +- CometProject (10)
                                    +- CometFilter (9)
                                       +- CometScan parquet spark_catalog.default.date_dim (8)


(1) CometScan parquet spark_catalog.default.catalog_sales
Output [3]: [cs_item_sk#1, cs_ext_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_item_sk)]
ReadSchema: struct<cs_item_sk:int,cs_ext_sales_price:decimal(7,2)>

(2) CometFilter
Input [3]: [cs_item_sk#1, cs_ext_sales_price#2, cs_sold_date_sk#3]
Condition : isnotnull(cs_item_sk#1)

(3) CometScan 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: [In(i_category, [Books                                             ,Home                                              ,Sports                                            ]), 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 : (i_category#10 IN (Sports                                            ,Books                                             ,Home                                              ) AND isnotnull(i_item_sk#5))

(5) CometBroadcastExchange
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#6, i_item_desc#7, i_current_price#8, i_class#9, i_category#10]

(6) CometBroadcastHashJoin
Left output [3]: [cs_item_sk#1, cs_ext_sales_price#2, cs_sold_date_sk#3]
Right output [6]: [i_item_sk#5, i_item_id#6, i_item_desc#7, i_current_price#8, i_class#9, i_category#10]
Arguments: [cs_item_sk#1], [i_item_sk#5], Inner, BuildRight

(7) CometProject
Input [9]: [cs_item_sk#1, cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_sk#5, i_item_id#6, i_item_desc#7, i_current_price#8, i_class#9, i_category#10]
Arguments: [cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_id#6, i_item_desc#7, i_current_price#8, i_class#9, i_category#10], [cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_id#6, i_item_desc#7, i_current_price#8, i_class#9, i_category#10]

(8) CometScan 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,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(9) CometFilter
Input [2]: [d_date_sk#11, d_date#12]
Condition : (((isnotnull(d_date#12) AND (d_date#12 >= 1999-02-22)) AND (d_date#12 <= 1999-03-24)) AND isnotnull(d_date_sk#11))

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

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

(12) CometBroadcastHashJoin
Left output [7]: [cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_id#6, i_item_desc#7, i_current_price#8, i_class#9, i_category#10]
Right output [1]: [d_date_sk#11]
Arguments: [cs_sold_date_sk#3], [d_date_sk#11], Inner, BuildRight

(13) CometProject
Input [8]: [cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_id#6, i_item_desc#7, i_current_price#8, i_class#9, i_category#10, d_date_sk#11]
Arguments: [cs_ext_sales_price#2, i_item_id#6, i_item_desc#7, i_current_price#8, i_class#9, i_category#10], [cs_ext_sales_price#2, i_item_id#6, i_item_desc#7, i_current_price#8, i_class#9, i_category#10]

(14) CometHashAggregate
Input [6]: [cs_ext_sales_price#2, i_item_id#6, i_item_desc#7, i_current_price#8, i_class#9, i_category#10]
Keys [5]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8]
Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#2))]

(15) CometExchange
Input [6]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, sum#13]
Arguments: hashpartitioning(i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(16) CometHashAggregate
Input [6]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, sum#13]
Keys [5]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8]
Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#2))]

(17) CometExchange
Input [7]: [i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#14, _w0#15, i_item_id#6]
Arguments: hashpartitioning(i_class#9, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2]

(18) CometSort
Input [7]: [i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#14, _w0#15, i_item_id#6]
Arguments: [i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#14, _w0#15, i_item_id#6], [i_class#9 ASC NULLS FIRST]

(19) CometColumnarToRow [codegen id : 1]
Input [7]: [i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#14, _w0#15, i_item_id#6]

(20) Window
Input [7]: [i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#14, _w0#15, i_item_id#6]
Arguments: [sum(_w0#15) windowspecdefinition(i_class#9, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#16], [i_class#9]

(21) Project [codegen id : 2]
Output [7]: [i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#14, ((_w0#15 * 100) / _we0#16) AS revenueratio#17, i_item_id#6]
Input [8]: [i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#14, _w0#15, i_item_id#6, _we0#16]

(22) TakeOrderedAndProject
Input [7]: [i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#14, revenueratio#17, i_item_id#6]
Arguments: 100, [i_category#10 ASC NULLS FIRST, i_class#9 ASC NULLS FIRST, i_item_id#6 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#17 ASC NULLS FIRST], [i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#14, revenueratio#17]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#3 IN dynamicpruning#4
BroadcastExchange (27)
+- * CometColumnarToRow (26)
   +- CometProject (25)
      +- CometFilter (24)
         +- CometScan parquet spark_catalog.default.date_dim (23)


(23) CometScan 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,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(24) CometFilter
Input [2]: [d_date_sk#11, d_date#12]
Condition : (((isnotnull(d_date#12) AND (d_date#12 >= 1999-02-22)) AND (d_date#12 <= 1999-03-24)) AND isnotnull(d_date_sk#11))

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

(26) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#11]

(27) BroadcastExchange
Input [1]: [d_date_sk#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]


