== Physical Plan ==
VeloxColumnarToRow (37)
+- TakeOrderedAndProjectExecTransformer (36)
   +- ^ RegularHashAggregateExecTransformer (34)
      +- ^ InputIteratorTransformer (33)
         +- ColumnarExchange (31)
            +- VeloxResizeBatches (30)
               +- ^ ProjectExecTransformer (28)
                  +- ^ FlushableHashAggregateExecTransformer (27)
                     +- ^ ProjectExecTransformer (26)
                        +- ^ BroadcastHashJoinExecTransformer Inner BuildLeft (25)
                           :- ^ InputIteratorTransformer (21)
                           :  +- ColumnarBroadcastExchange (19)
                           :     +- ^ ProjectExecTransformer (17)
                           :        +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (16)
                           :           :- ^ ProjectExecTransformer (12)
                           :           :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (11)
                           :           :     :- ^ ProjectExecTransformer (3)
                           :           :     :  +- ^ FilterExecTransformer (2)
                           :           :     :     +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (1)
                           :           :     +- ^ InputIteratorTransformer (10)
                           :           :        +- ColumnarBroadcastExchange (8)
                           :           :           +- ^ ProjectExecTransformer (6)
                           :           :              +- ^ FilterExecTransformer (5)
                           :           :                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.inventory (4)
                           :           +- ^ InputIteratorTransformer (15)
                           :              +- ReusedExchange (13)
                           +- ^ ProjectExecTransformer (24)
                              +- ^ FilterExecTransformer (23)
                                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales (22)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [5]: [i_item_sk#1, i_item_id#2, i_item_desc#3, i_current_price#4, i_manufact_id#5]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_current_price), GreaterThanOrEqual(i_current_price,68.00), LessThanOrEqual(i_current_price,98.00), In(i_manufact_id, [677,694,808,940]), 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_manufact_id:int>

(2) FilterExecTransformer
Input [5]: [i_item_sk#1, i_item_id#2, i_item_desc#3, i_current_price#4, i_manufact_id#5]
Arguments: ((((isnotnull(i_current_price#4) AND (i_current_price#4 >= 68.00)) AND (i_current_price#4 <= 98.00)) AND i_manufact_id#5 IN (677,940,694,808)) AND isnotnull(i_item_sk#1))

(3) ProjectExecTransformer
Output [4]: [i_item_sk#1, i_item_id#2, i_item_desc#3, i_current_price#4]
Input [5]: [i_item_sk#1, i_item_id#2, i_item_desc#3, i_current_price#4, i_manufact_id#5]

(4) FileSourceScanExecTransformer parquet spark_catalog.default.inventory
Output [3]: [inv_item_sk#6, inv_quantity_on_hand#7, inv_date_sk#8]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(inv_date_sk#8), dynamicpruningexpression(inv_date_sk#8 IN dynamicpruning#9)]
PushedFilters: [IsNotNull(inv_quantity_on_hand), GreaterThanOrEqual(inv_quantity_on_hand,100), LessThanOrEqual(inv_quantity_on_hand,500), IsNotNull(inv_item_sk)]
ReadSchema: struct<inv_item_sk:int,inv_quantity_on_hand:int>

(5) FilterExecTransformer
Input [3]: [inv_item_sk#6, inv_quantity_on_hand#7, inv_date_sk#8]
Arguments: (((isnotnull(inv_quantity_on_hand#7) AND (inv_quantity_on_hand#7 >= 100)) AND (inv_quantity_on_hand#7 <= 500)) AND isnotnull(inv_item_sk#6))

(6) ProjectExecTransformer
Output [2]: [inv_item_sk#6, inv_date_sk#8]
Input [3]: [inv_item_sk#6, inv_quantity_on_hand#7, inv_date_sk#8]

(7) WholeStageCodegenTransformer (2)
Input [2]: [inv_item_sk#6, inv_date_sk#8]
Arguments: false

(8) ColumnarBroadcastExchange
Input [2]: [inv_item_sk#6, inv_date_sk#8]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=1]

(9) InputAdapter
Input [2]: [inv_item_sk#6, inv_date_sk#8]

(10) InputIteratorTransformer
Input [2]: [inv_item_sk#6, inv_date_sk#8]

(11) BroadcastHashJoinExecTransformer
Left keys [1]: [i_item_sk#1]
Right keys [1]: [inv_item_sk#6]
Join type: Inner
Join condition: None

(12) ProjectExecTransformer
Output [5]: [i_item_sk#1, i_item_id#2, i_item_desc#3, i_current_price#4, inv_date_sk#8]
Input [6]: [i_item_sk#1, i_item_id#2, i_item_desc#3, i_current_price#4, inv_item_sk#6, inv_date_sk#8]

(13) ReusedExchange [Reuses operator id: 42]
Output [1]: [d_date_sk#10]

(14) InputAdapter
Input [1]: [d_date_sk#10]

(15) InputIteratorTransformer
Input [1]: [d_date_sk#10]

(16) BroadcastHashJoinExecTransformer
Left keys [1]: [inv_date_sk#8]
Right keys [1]: [d_date_sk#10]
Join type: Inner
Join condition: None

(17) ProjectExecTransformer
Output [4]: [i_item_sk#1, i_item_id#2, i_item_desc#3, i_current_price#4]
Input [6]: [i_item_sk#1, i_item_id#2, i_item_desc#3, i_current_price#4, inv_date_sk#8, d_date_sk#10]

(18) WholeStageCodegenTransformer (4)
Input [4]: [i_item_sk#1, i_item_id#2, i_item_desc#3, i_current_price#4]
Arguments: false

(19) ColumnarBroadcastExchange
Input [4]: [i_item_sk#1, i_item_id#2, i_item_desc#3, i_current_price#4]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]

(20) InputAdapter
Input [4]: [i_item_sk#1, i_item_id#2, i_item_desc#3, i_current_price#4]

(21) InputIteratorTransformer
Input [4]: [i_item_sk#1, i_item_id#2, i_item_desc#3, i_current_price#4]

(22) FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales
Output [2]: [cs_item_sk#11, cs_sold_date_sk#12]
Batched: true
Location: CatalogFileIndex [{warehouse_dir}/catalog_sales]
PushedFilters: [IsNotNull(cs_item_sk)]
ReadSchema: struct<cs_item_sk:int>

(23) FilterExecTransformer
Input [2]: [cs_item_sk#11, cs_sold_date_sk#12]
Arguments: isnotnull(cs_item_sk#11)

(24) ProjectExecTransformer
Output [1]: [cs_item_sk#11]
Input [2]: [cs_item_sk#11, cs_sold_date_sk#12]

(25) BroadcastHashJoinExecTransformer
Left keys [1]: [i_item_sk#1]
Right keys [1]: [cs_item_sk#11]
Join type: Inner
Join condition: None

(26) ProjectExecTransformer
Output [3]: [i_item_id#2, i_item_desc#3, i_current_price#4]
Input [5]: [i_item_sk#1, i_item_id#2, i_item_desc#3, i_current_price#4, cs_item_sk#11]

(27) FlushableHashAggregateExecTransformer
Input [3]: [i_item_id#2, i_item_desc#3, i_current_price#4]
Keys [3]: [i_item_id#2, i_item_desc#3, i_current_price#4]
Functions: []
Aggregate Attributes: []
Results [3]: [i_item_id#2, i_item_desc#3, i_current_price#4]

(28) ProjectExecTransformer
Output [4]: [hash(i_item_id#2, i_item_desc#3, i_current_price#4, 42) AS hash_partition_key#13, i_item_id#2, i_item_desc#3, i_current_price#4]
Input [3]: [i_item_id#2, i_item_desc#3, i_current_price#4]

(29) WholeStageCodegenTransformer (5)
Input [4]: [hash_partition_key#13, i_item_id#2, i_item_desc#3, i_current_price#4]
Arguments: false

(30) VeloxResizeBatches
Input [4]: [hash_partition_key#13, i_item_id#2, i_item_desc#3, i_current_price#4]
Arguments: 1024, 2147483647, 10485760

(31) ColumnarExchange
Input [4]: [hash_partition_key#13, i_item_id#2, i_item_desc#3, i_current_price#4]
Arguments: hashpartitioning(i_item_id#2, i_item_desc#3, i_current_price#4, 1), ENSURE_REQUIREMENTS, [i_item_id#2, i_item_desc#3, i_current_price#4], [plan_id=3], [shuffle_writer_type=hash]

(32) InputAdapter
Input [3]: [i_item_id#2, i_item_desc#3, i_current_price#4]

(33) InputIteratorTransformer
Input [3]: [i_item_id#2, i_item_desc#3, i_current_price#4]

(34) RegularHashAggregateExecTransformer
Input [3]: [i_item_id#2, i_item_desc#3, i_current_price#4]
Keys [3]: [i_item_id#2, i_item_desc#3, i_current_price#4]
Functions: []
Aggregate Attributes: []
Results [3]: [i_item_id#2, i_item_desc#3, i_current_price#4]

(35) WholeStageCodegenTransformer (6)
Input [3]: [i_item_id#2, i_item_desc#3, i_current_price#4]
Arguments: false

(36) TakeOrderedAndProjectExecTransformer
Input [3]: [i_item_id#2, i_item_desc#3, i_current_price#4]
Arguments: 100, [i_item_id#2 ASC NULLS FIRST], [i_item_id#2, i_item_desc#3, i_current_price#4], 0

(37) VeloxColumnarToRow
Input [3]: [i_item_id#2, i_item_desc#3, i_current_price#4]

===== Subqueries =====

Subquery:1 Hosting operator id = 4 Hosting Expression = inv_date_sk#8 IN dynamicpruning#9
ColumnarBroadcastExchange (42)
+- ^ ProjectExecTransformer (40)
   +- ^ FilterExecTransformer (39)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (38)


(38) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#10, d_date#14]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-02-01), LessThanOrEqual(d_date,2000-04-01), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(39) FilterExecTransformer
Input [2]: [d_date_sk#10, d_date#14]
Arguments: (((isnotnull(d_date#14) AND (d_date#14 >= 2000-02-01)) AND (d_date#14 <= 2000-04-01)) AND isnotnull(d_date_sk#10))

(40) ProjectExecTransformer
Output [1]: [d_date_sk#10]
Input [2]: [d_date_sk#10, d_date#14]

(41) WholeStageCodegenTransformer (1)
Input [1]: [d_date_sk#10]
Arguments: false

(42) ColumnarBroadcastExchange
Input [1]: [d_date_sk#10]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4]


