== Physical Plan ==
VeloxColumnarToRow (43)
+- TakeOrderedAndProjectExecTransformer (42)
   +- ^ ProjectExecTransformer (40)
      +- ^ WindowExecTransformer (39)
         +- ^ SortExecTransformer (38)
            +- ^ InputIteratorTransformer (37)
               +- ColumnarExchange (35)
                  +- VeloxResizeBatches (34)
                     +- ^ ProjectExecTransformer (32)
                        +- ^ RegularHashAggregateExecTransformer (31)
                           +- ^ InputIteratorTransformer (30)
                              +- ColumnarExchange (28)
                                 +- VeloxResizeBatches (27)
                                    +- ^ ProjectExecTransformer (25)
                                       +- ^ FlushableHashAggregateExecTransformer (24)
                                          +- ^ ProjectExecTransformer (23)
                                             +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (22)
                                                :- ^ ProjectExecTransformer (18)
                                                :  +- ^ ShuffledHashJoinExecTransformer Inner BuildRight (17)
                                                :     :- ^ InputIteratorTransformer (8)
                                                :     :  +- ColumnarExchange (6)
                                                :     :     +- VeloxResizeBatches (5)
                                                :     :        +- ^ ProjectExecTransformer (3)
                                                :     :           +- ^ FilterExecTransformer (2)
                                                :     :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales (1)
                                                :     +- ^ InputIteratorTransformer (16)
                                                :        +- ColumnarExchange (14)
                                                :           +- VeloxResizeBatches (13)
                                                :              +- ^ ProjectExecTransformer (11)
                                                :                 +- ^ FilterExecTransformer (10)
                                                :                    +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (9)
                                                +- ^ InputIteratorTransformer (21)
                                                   +- ReusedExchange (19)


(1) FileSourceScanExecTransformer 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) FilterExecTransformer
Input [3]: [cs_item_sk#1, cs_ext_sales_price#2, cs_sold_date_sk#3]
Arguments: isnotnull(cs_item_sk#1)

(3) ProjectExecTransformer
Output [4]: [hash(cs_item_sk#1, 42) AS hash_partition_key#5, cs_item_sk#1, cs_ext_sales_price#2, cs_sold_date_sk#3]
Input [3]: [cs_item_sk#1, cs_ext_sales_price#2, cs_sold_date_sk#3]

(4) WholeStageCodegenTransformer (2)
Input [4]: [hash_partition_key#5, cs_item_sk#1, cs_ext_sales_price#2, cs_sold_date_sk#3]
Arguments: false

(5) VeloxResizeBatches
Input [4]: [hash_partition_key#5, cs_item_sk#1, cs_ext_sales_price#2, cs_sold_date_sk#3]
Arguments: 1024, 2147483647, 10485760

(6) ColumnarExchange
Input [4]: [hash_partition_key#5, cs_item_sk#1, cs_ext_sales_price#2, cs_sold_date_sk#3]
Arguments: hashpartitioning(cs_item_sk#1, 1), ENSURE_REQUIREMENTS, [cs_item_sk#1, cs_ext_sales_price#2, cs_sold_date_sk#3], [plan_id=1], [shuffle_writer_type=hash]

(7) InputAdapter
Input [3]: [cs_item_sk#1, cs_ext_sales_price#2, cs_sold_date_sk#3]

(8) InputIteratorTransformer
Input [3]: [cs_item_sk#1, cs_ext_sales_price#2, cs_sold_date_sk#3]

(9) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [6]: [i_item_sk#6, i_item_id#7, i_item_desc#8, i_current_price#9, i_class#10, i_category#11]
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>

(10) FilterExecTransformer
Input [6]: [i_item_sk#6, i_item_id#7, i_item_desc#8, i_current_price#9, i_class#10, i_category#11]
Arguments: (i_category#11 IN (Sports                                            ,Books                                             ,Home                                              ) AND isnotnull(i_item_sk#6))

(11) ProjectExecTransformer
Output [7]: [hash(i_item_sk#6, 42) AS hash_partition_key#12, i_item_sk#6, i_item_id#7, i_item_desc#8, i_current_price#9, i_class#10, i_category#11]
Input [6]: [i_item_sk#6, i_item_id#7, i_item_desc#8, i_current_price#9, i_class#10, i_category#11]

(12) WholeStageCodegenTransformer (3)
Input [7]: [hash_partition_key#12, i_item_sk#6, i_item_id#7, i_item_desc#8, i_current_price#9, i_class#10, i_category#11]
Arguments: false

(13) VeloxResizeBatches
Input [7]: [hash_partition_key#12, i_item_sk#6, i_item_id#7, i_item_desc#8, i_current_price#9, i_class#10, i_category#11]
Arguments: 1024, 2147483647, 10485760

(14) ColumnarExchange
Input [7]: [hash_partition_key#12, i_item_sk#6, i_item_id#7, i_item_desc#8, i_current_price#9, i_class#10, i_category#11]
Arguments: hashpartitioning(i_item_sk#6, 1), ENSURE_REQUIREMENTS, [i_item_sk#6, i_item_id#7, i_item_desc#8, i_current_price#9, i_class#10, i_category#11], [plan_id=2], [shuffle_writer_type=hash]

(15) InputAdapter
Input [6]: [i_item_sk#6, i_item_id#7, i_item_desc#8, i_current_price#9, i_class#10, i_category#11]

(16) InputIteratorTransformer
Input [6]: [i_item_sk#6, i_item_id#7, i_item_desc#8, i_current_price#9, i_class#10, i_category#11]

(17) ShuffledHashJoinExecTransformer
Left keys [1]: [cs_item_sk#1]
Right keys [1]: [i_item_sk#6]
Join type: Inner
Join condition: None

(18) ProjectExecTransformer
Output [7]: [cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_id#7, i_item_desc#8, i_current_price#9, i_class#10, i_category#11]
Input [9]: [cs_item_sk#1, cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_sk#6, i_item_id#7, i_item_desc#8, i_current_price#9, i_class#10, i_category#11]

(19) ReusedExchange [Reuses operator id: 48]
Output [1]: [d_date_sk#13]

(20) InputAdapter
Input [1]: [d_date_sk#13]

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

(22) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_sold_date_sk#3]
Right keys [1]: [d_date_sk#13]
Join type: Inner
Join condition: None

(23) ProjectExecTransformer
Output [6]: [i_item_id#7, i_item_desc#8, i_current_price#9, i_class#10, i_category#11, UnscaledValue(cs_ext_sales_price#2) AS _pre_1#14]
Input [8]: [cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_id#7, i_item_desc#8, i_current_price#9, i_class#10, i_category#11, d_date_sk#13]

(24) FlushableHashAggregateExecTransformer
Input [6]: [i_item_id#7, i_item_desc#8, i_current_price#9, i_class#10, i_category#11, _pre_1#14]
Keys [5]: [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9]
Functions [1]: [partial_sum(_pre_1#14)]
Aggregate Attributes [1]: [sum#15]
Results [6]: [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, sum#16]

(25) ProjectExecTransformer
Output [7]: [hash(i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, 42) AS hash_partition_key#17, i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, sum#16]
Input [6]: [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, sum#16]

(26) WholeStageCodegenTransformer (5)
Input [7]: [hash_partition_key#17, i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, sum#16]
Arguments: false

(27) VeloxResizeBatches
Input [7]: [hash_partition_key#17, i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, sum#16]
Arguments: 1024, 2147483647, 10485760

(28) ColumnarExchange
Input [7]: [hash_partition_key#17, i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, sum#16]
Arguments: hashpartitioning(i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, 1), ENSURE_REQUIREMENTS, [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, sum#16], [plan_id=3], [shuffle_writer_type=hash]

(29) InputAdapter
Input [6]: [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, sum#16]

(30) InputIteratorTransformer
Input [6]: [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, sum#16]

(31) RegularHashAggregateExecTransformer
Input [6]: [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, sum#16]
Keys [5]: [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9]
Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#2))]
Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_sales_price#2))#18]
Results [6]: [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, sum(UnscaledValue(cs_ext_sales_price#2))#18]

(32) ProjectExecTransformer
Output [8]: [hash(i_class#10, 42) AS hash_partition_key#19, i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#2))#18,17,2) AS itemrevenue#20, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#2))#18,17,2) AS _w0#21]
Input [6]: [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, sum(UnscaledValue(cs_ext_sales_price#2))#18]

(33) WholeStageCodegenTransformer (6)
Input [8]: [hash_partition_key#19, i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, itemrevenue#20, _w0#21]
Arguments: false

(34) VeloxResizeBatches
Input [8]: [hash_partition_key#19, i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, itemrevenue#20, _w0#21]
Arguments: 1024, 2147483647, 10485760

(35) ColumnarExchange
Input [8]: [hash_partition_key#19, i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, itemrevenue#20, _w0#21]
Arguments: hashpartitioning(i_class#10, 1), ENSURE_REQUIREMENTS, [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, itemrevenue#20, _w0#21], [plan_id=4], [shuffle_writer_type=hash]

(36) InputAdapter
Input [7]: [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, itemrevenue#20, _w0#21]

(37) InputIteratorTransformer
Input [7]: [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, itemrevenue#20, _w0#21]

(38) SortExecTransformer
Input [7]: [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, itemrevenue#20, _w0#21]
Arguments: [i_class#10 ASC NULLS FIRST], false, 0

(39) WindowExecTransformer
Input [7]: [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, itemrevenue#20, _w0#21]
Arguments: [sum(_w0#21) windowspecdefinition(i_class#10, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#22], [i_class#10]

(40) ProjectExecTransformer
Output [7]: [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, itemrevenue#20, ((_w0#21 * 100) / _we0#22) AS revenueratio#23]
Input [8]: [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, itemrevenue#20, _w0#21, _we0#22]

(41) WholeStageCodegenTransformer (7)
Input [7]: [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, itemrevenue#20, revenueratio#23]
Arguments: false

(42) TakeOrderedAndProjectExecTransformer
Input [7]: [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, itemrevenue#20, revenueratio#23]
Arguments: 100, [i_category#11 ASC NULLS FIRST, i_class#10 ASC NULLS FIRST, i_item_id#7 ASC NULLS FIRST, i_item_desc#8 ASC NULLS FIRST, revenueratio#23 ASC NULLS FIRST], [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, itemrevenue#20, revenueratio#23], 0

(43) VeloxColumnarToRow
Input [7]: [i_item_id#7, i_item_desc#8, i_category#11, i_class#10, i_current_price#9, itemrevenue#20, revenueratio#23]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#3 IN dynamicpruning#4
ColumnarBroadcastExchange (48)
+- ^ ProjectExecTransformer (46)
   +- ^ FilterExecTransformer (45)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (44)


(44) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#13, d_date#24]
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>

(45) FilterExecTransformer
Input [2]: [d_date_sk#13, d_date#24]
Arguments: (((isnotnull(d_date#24) AND (d_date#24 >= 1999-02-22)) AND (d_date#24 <= 1999-03-24)) AND isnotnull(d_date_sk#13))

(46) ProjectExecTransformer
Output [1]: [d_date_sk#13]
Input [2]: [d_date_sk#13, d_date#24]

(47) WholeStageCodegenTransformer (1)
Input [1]: [d_date_sk#13]
Arguments: false

(48) ColumnarBroadcastExchange
Input [1]: [d_date_sk#13]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5]


