== Physical Plan ==
* ColumnarToRow (24)
+- CometSort (23)
   +- CometColumnarExchange (22)
      +- * Project (21)
         +- Window (20)
            +- * ColumnarToRow (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.store_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.store_sales
Output [3]: [ss_item_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#3)]
PushedFilters: [IsNotNull(ss_item_sk)]
ReadSchema: struct<ss_item_sk:int,ss_ext_sales_price:decimal(7,2)>

(2) CometFilter
Input [3]: [ss_item_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3]
Condition : isnotnull(ss_item_sk#1)

(3) CometScan parquet spark_catalog.default.item
Output [6]: [i_item_sk#4, i_item_id#5, i_item_desc#6, i_current_price#7, i_class#8, i_category#9]
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#4, i_item_id#5, i_item_desc#6, i_current_price#7, i_class#8, i_category#9]
Condition : (i_category#9 IN (Sports                                            ,Books                                             ,Home                                              ) AND isnotnull(i_item_sk#4))

(5) CometBroadcastExchange
Input [6]: [i_item_sk#4, i_item_id#5, i_item_desc#6, i_current_price#7, i_class#8, i_category#9]
Arguments: [i_item_sk#4, i_item_id#5, i_item_desc#6, i_current_price#7, i_class#8, i_category#9]

(6) CometBroadcastHashJoin
Left output [3]: [ss_item_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3]
Right output [6]: [i_item_sk#4, i_item_id#5, i_item_desc#6, i_current_price#7, i_class#8, i_category#9]
Arguments: [ss_item_sk#1], [i_item_sk#4], Inner, BuildRight

(7) CometProject
Input [9]: [ss_item_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_sk#4, i_item_id#5, i_item_desc#6, i_current_price#7, i_class#8, i_category#9]
Arguments: [ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_id#5, i_item_desc#6, i_current_price#7, i_class#8, i_category#9], [ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_id#5, i_item_desc#6, i_current_price#7, i_class#8, i_category#9]

(8) CometScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#10, d_date#11]
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#10, d_date#11]
Condition : (((isnotnull(d_date#11) AND (d_date#11 >= 1999-02-22)) AND (d_date#11 <= 1999-03-24)) AND isnotnull(d_date_sk#10))

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

(11) CometBroadcastExchange
Input [1]: [d_date_sk#10]
Arguments: [d_date_sk#10]

(12) CometBroadcastHashJoin
Left output [7]: [ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_id#5, i_item_desc#6, i_current_price#7, i_class#8, i_category#9]
Right output [1]: [d_date_sk#10]
Arguments: [ss_sold_date_sk#3], [d_date_sk#10], Inner, BuildRight

(13) CometProject
Input [8]: [ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_id#5, i_item_desc#6, i_current_price#7, i_class#8, i_category#9, d_date_sk#10]
Arguments: [ss_ext_sales_price#2, i_item_id#5, i_item_desc#6, i_current_price#7, i_class#8, i_category#9], [ss_ext_sales_price#2, i_item_id#5, i_item_desc#6, i_current_price#7, i_class#8, i_category#9]

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

(15) CometExchange
Input [6]: [i_item_id#5, i_item_desc#6, i_category#9, i_class#8, i_current_price#7, sum#12]
Arguments: hashpartitioning(i_item_id#5, i_item_desc#6, i_category#9, i_class#8, i_current_price#7, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(16) CometHashAggregate
Input [6]: [i_item_id#5, i_item_desc#6, i_category#9, i_class#8, i_current_price#7, sum#12]
Keys [5]: [i_item_id#5, i_item_desc#6, i_category#9, i_class#8, i_current_price#7]
Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#2))]

(17) CometExchange
Input [7]: [i_item_id#5, i_item_desc#6, i_category#9, i_class#8, i_current_price#7, itemrevenue#13, _w0#14]
Arguments: hashpartitioning(i_class#8, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2]

(18) CometSort
Input [7]: [i_item_id#5, i_item_desc#6, i_category#9, i_class#8, i_current_price#7, itemrevenue#13, _w0#14]
Arguments: [i_item_id#5, i_item_desc#6, i_category#9, i_class#8, i_current_price#7, itemrevenue#13, _w0#14], [i_class#8 ASC NULLS FIRST]

(19) ColumnarToRow [codegen id : 1]
Input [7]: [i_item_id#5, i_item_desc#6, i_category#9, i_class#8, i_current_price#7, itemrevenue#13, _w0#14]

(20) Window
Input [7]: [i_item_id#5, i_item_desc#6, i_category#9, i_class#8, i_current_price#7, itemrevenue#13, _w0#14]
Arguments: [sum(_w0#14) windowspecdefinition(i_class#8, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#15], [i_class#8]

(21) Project [codegen id : 2]
Output [7]: [i_item_id#5, i_item_desc#6, i_category#9, i_class#8, i_current_price#7, itemrevenue#13, ((_w0#14 * 100) / _we0#15) AS revenueratio#16]
Input [8]: [i_item_id#5, i_item_desc#6, i_category#9, i_class#8, i_current_price#7, itemrevenue#13, _w0#14, _we0#15]

(22) CometColumnarExchange
Input [7]: [i_item_id#5, i_item_desc#6, i_category#9, i_class#8, i_current_price#7, itemrevenue#13, revenueratio#16]
Arguments: rangepartitioning(i_category#9 ASC NULLS FIRST, i_class#8 ASC NULLS FIRST, i_item_id#5 ASC NULLS FIRST, i_item_desc#6 ASC NULLS FIRST, revenueratio#16 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3]

(23) CometSort
Input [7]: [i_item_id#5, i_item_desc#6, i_category#9, i_class#8, i_current_price#7, itemrevenue#13, revenueratio#16]
Arguments: [i_item_id#5, i_item_desc#6, i_category#9, i_class#8, i_current_price#7, itemrevenue#13, revenueratio#16], [i_category#9 ASC NULLS FIRST, i_class#8 ASC NULLS FIRST, i_item_id#5 ASC NULLS FIRST, i_item_desc#6 ASC NULLS FIRST, revenueratio#16 ASC NULLS FIRST]

(24) ColumnarToRow [codegen id : 3]
Input [7]: [i_item_id#5, i_item_desc#6, i_category#9, i_class#8, i_current_price#7, itemrevenue#13, revenueratio#16]

