== Physical Plan ==
VeloxColumnarToRow (35)
+- TakeOrderedAndProjectExecTransformer (34)
   +- ^ ProjectExecTransformer (32)
      +- ^ WindowExecTransformer (31)
         +- ^ SortExecTransformer (30)
            +- ^ InputIteratorTransformer (29)
               +- ColumnarExchange (27)
                  +- VeloxResizeBatches (26)
                     +- ^ ProjectExecTransformer (24)
                        +- ^ RegularHashAggregateExecTransformer (23)
                           +- ^ InputIteratorTransformer (22)
                              +- ColumnarExchange (20)
                                 +- VeloxResizeBatches (19)
                                    +- ^ ProjectExecTransformer (17)
                                       +- ^ FlushableHashAggregateExecTransformer (16)
                                          +- ^ ProjectExecTransformer (15)
                                             +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (14)
                                                :- ^ ProjectExecTransformer (10)
                                                :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (9)
                                                :     :- ^ FilterExecTransformer (2)
                                                :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.web_sales (1)
                                                :     +- ^ InputIteratorTransformer (8)
                                                :        +- ColumnarBroadcastExchange (6)
                                                :           +- ^ FilterExecTransformer (4)
                                                :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (3)
                                                +- ^ InputIteratorTransformer (13)
                                                   +- ReusedExchange (11)


(1) FileSourceScanExecTransformer 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) FilterExecTransformer
Input [3]: [ws_item_sk#1, ws_ext_sales_price#2, ws_sold_date_sk#3]
Arguments: isnotnull(ws_item_sk#1)

(3) FileSourceScanExecTransformer 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: InMemoryFileIndex [{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) FilterExecTransformer
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_category#10 IN (Sports                                            ,Books                                             ,Home                                              ) AND isnotnull(i_item_sk#5))

(5) WholeStageCodegenTransformer (2)
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: false

(6) ColumnarBroadcastExchange
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: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=1]

(7) InputAdapter
Input [6]: [i_item_sk#5, i_item_id#6, i_item_desc#7, i_current_price#8, i_class#9, i_category#10]

(8) InputIteratorTransformer
Input [6]: [i_item_sk#5, i_item_id#6, i_item_desc#7, i_current_price#8, i_class#9, i_category#10]

(9) BroadcastHashJoinExecTransformer
Left keys [1]: [ws_item_sk#1]
Right keys [1]: [i_item_sk#5]
Join type: Inner
Join condition: None

(10) ProjectExecTransformer
Output [7]: [ws_ext_sales_price#2, ws_sold_date_sk#3, i_item_id#6, i_item_desc#7, i_current_price#8, i_class#9, i_category#10]
Input [9]: [ws_item_sk#1, ws_ext_sales_price#2, ws_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]

(11) ReusedExchange [Reuses operator id: 40]
Output [1]: [d_date_sk#11]

(12) InputAdapter
Input [1]: [d_date_sk#11]

(13) InputIteratorTransformer
Input [1]: [d_date_sk#11]

(14) BroadcastHashJoinExecTransformer
Left keys [1]: [ws_sold_date_sk#3]
Right keys [1]: [d_date_sk#11]
Join type: Inner
Join condition: None

(15) ProjectExecTransformer
Output [6]: [i_item_id#6, i_item_desc#7, i_current_price#8, i_class#9, i_category#10, UnscaledValue(ws_ext_sales_price#2) AS _pre_1#12]
Input [8]: [ws_ext_sales_price#2, ws_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]

(16) FlushableHashAggregateExecTransformer
Input [6]: [i_item_id#6, i_item_desc#7, i_current_price#8, i_class#9, i_category#10, _pre_1#12]
Keys [5]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8]
Functions [1]: [partial_sum(_pre_1#12)]
Aggregate Attributes [1]: [sum#13]
Results [6]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, sum#14]

(17) ProjectExecTransformer
Output [7]: [hash(i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, 42) AS hash_partition_key#15, i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, sum#14]
Input [6]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, sum#14]

(18) WholeStageCodegenTransformer (4)
Input [7]: [hash_partition_key#15, i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, sum#14]
Arguments: false

(19) VeloxResizeBatches
Input [7]: [hash_partition_key#15, i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, sum#14]
Arguments: 1024, 2147483647, 10485760

(20) ColumnarExchange
Input [7]: [hash_partition_key#15, i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, sum#14]
Arguments: hashpartitioning(i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, 1), ENSURE_REQUIREMENTS, [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, sum#14], [plan_id=2], [shuffle_writer_type=hash]

(21) InputAdapter
Input [6]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, sum#14]

(22) InputIteratorTransformer
Input [6]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, sum#14]

(23) RegularHashAggregateExecTransformer
Input [6]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, sum#14]
Keys [5]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8]
Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#2))]
Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#2))#16]
Results [6]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, sum(UnscaledValue(ws_ext_sales_price#2))#16]

(24) ProjectExecTransformer
Output [8]: [hash(i_class#9, 42) AS hash_partition_key#17, i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#2))#16,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#2))#16,17,2) AS _w0#19]
Input [6]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, sum(UnscaledValue(ws_ext_sales_price#2))#16]

(25) WholeStageCodegenTransformer (5)
Input [8]: [hash_partition_key#17, i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#18, _w0#19]
Arguments: false

(26) VeloxResizeBatches
Input [8]: [hash_partition_key#17, i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#18, _w0#19]
Arguments: 1024, 2147483647, 10485760

(27) ColumnarExchange
Input [8]: [hash_partition_key#17, i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#18, _w0#19]
Arguments: hashpartitioning(i_class#9, 1), ENSURE_REQUIREMENTS, [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#18, _w0#19], [plan_id=3], [shuffle_writer_type=hash]

(28) InputAdapter
Input [7]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#18, _w0#19]

(29) InputIteratorTransformer
Input [7]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#18, _w0#19]

(30) SortExecTransformer
Input [7]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#18, _w0#19]
Arguments: [i_class#9 ASC NULLS FIRST], false, 0

(31) WindowExecTransformer
Input [7]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#18, _w0#19]
Arguments: [sum(_w0#19) windowspecdefinition(i_class#9, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#9]

(32) ProjectExecTransformer
Output [7]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21]
Input [8]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#18, _w0#19, _we0#20]

(33) WholeStageCodegenTransformer (6)
Input [7]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#18, revenueratio#21]
Arguments: false

(34) TakeOrderedAndProjectExecTransformer
Input [7]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#18, revenueratio#21]
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#21 ASC NULLS FIRST], [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, i_current_price#8, itemrevenue#18, revenueratio#21], 0

(35) VeloxColumnarToRow
Input [7]: [i_item_id#6, i_item_desc#7, i_category#10, i_class#9, 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
ColumnarBroadcastExchange (40)
+- ^ ProjectExecTransformer (38)
   +- ^ FilterExecTransformer (37)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (36)


(36) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#11, d_date#22]
Batched: true
Location: InMemoryFileIndex [{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>

(37) FilterExecTransformer
Input [2]: [d_date_sk#11, d_date#22]
Arguments: (((isnotnull(d_date#22) AND (d_date#22 >= 1999-02-22)) AND (d_date#22 <= 1999-03-24)) AND isnotnull(d_date_sk#11))

(38) ProjectExecTransformer
Output [1]: [d_date_sk#11]
Input [2]: [d_date_sk#11, d_date#22]

(39) WholeStageCodegenTransformer (1)
Input [1]: [d_date_sk#11]
Arguments: false

(40) ColumnarBroadcastExchange
Input [1]: [d_date_sk#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4]


