== Physical Plan ==
VeloxColumnarToRow (51)
+- TakeOrderedAndProjectExecTransformer (50)
   +- ^ RegularHashAggregateExecTransformer (48)
      +- ^ InputIteratorTransformer (47)
         +- ColumnarExchange (45)
            +- VeloxResizeBatches (44)
               +- ^ ProjectExecTransformer (42)
                  +- ^ FlushableHashAggregateExecTransformer (41)
                     +- ^ ProjectExecTransformer (40)
                        +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (39)
                           :- ^ ProjectExecTransformer (35)
                           :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (34)
                           :     :- ^ ProjectExecTransformer (26)
                           :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (25)
                           :     :     :- ^ ProjectExecTransformer (18)
                           :     :     :  +- ^ ShuffledHashJoinExecTransformer LeftOuter BuildLeft (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.catalog_returns (9)
                           :     :     +- ^ InputIteratorTransformer (24)
                           :     :        +- ColumnarBroadcastExchange (22)
                           :     :           +- ^ FilterExecTransformer (20)
                           :     :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.warehouse (19)
                           :     +- ^ InputIteratorTransformer (33)
                           :        +- ColumnarBroadcastExchange (31)
                           :           +- ^ ProjectExecTransformer (29)
                           :              +- ^ FilterExecTransformer (28)
                           :                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (27)
                           +- ^ InputIteratorTransformer (38)
                              +- ReusedExchange (36)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales
Output [5]: [cs_warehouse_sk#1, cs_item_sk#2, cs_order_number#3, cs_sales_price#4, cs_sold_date_sk#5]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#5), dynamicpruningexpression(cs_sold_date_sk#5 IN dynamicpruning#6)]
PushedFilters: [IsNotNull(cs_warehouse_sk), IsNotNull(cs_item_sk)]
ReadSchema: struct<cs_warehouse_sk:int,cs_item_sk:int,cs_order_number:int,cs_sales_price:decimal(7,2)>

(2) FilterExecTransformer
Input [5]: [cs_warehouse_sk#1, cs_item_sk#2, cs_order_number#3, cs_sales_price#4, cs_sold_date_sk#5]
Arguments: (isnotnull(cs_warehouse_sk#1) AND isnotnull(cs_item_sk#2))

(3) ProjectExecTransformer
Output [6]: [hash(cs_order_number#3, cs_item_sk#2, 42) AS hash_partition_key#7, cs_warehouse_sk#1, cs_item_sk#2, cs_order_number#3, cs_sales_price#4, cs_sold_date_sk#5]
Input [5]: [cs_warehouse_sk#1, cs_item_sk#2, cs_order_number#3, cs_sales_price#4, cs_sold_date_sk#5]

(4) WholeStageCodegenTransformer (2)
Input [6]: [hash_partition_key#7, cs_warehouse_sk#1, cs_item_sk#2, cs_order_number#3, cs_sales_price#4, cs_sold_date_sk#5]
Arguments: false

(5) VeloxResizeBatches
Input [6]: [hash_partition_key#7, cs_warehouse_sk#1, cs_item_sk#2, cs_order_number#3, cs_sales_price#4, cs_sold_date_sk#5]
Arguments: 1024, 2147483647, 10485760

(6) ColumnarExchange
Input [6]: [hash_partition_key#7, cs_warehouse_sk#1, cs_item_sk#2, cs_order_number#3, cs_sales_price#4, cs_sold_date_sk#5]
Arguments: hashpartitioning(cs_order_number#3, cs_item_sk#2, 1), ENSURE_REQUIREMENTS, [cs_warehouse_sk#1, cs_item_sk#2, cs_order_number#3, cs_sales_price#4, cs_sold_date_sk#5], [plan_id=1], [shuffle_writer_type=hash]

(7) InputAdapter
Input [5]: [cs_warehouse_sk#1, cs_item_sk#2, cs_order_number#3, cs_sales_price#4, cs_sold_date_sk#5]

(8) InputIteratorTransformer
Input [5]: [cs_warehouse_sk#1, cs_item_sk#2, cs_order_number#3, cs_sales_price#4, cs_sold_date_sk#5]

(9) FileSourceScanExecTransformer parquet spark_catalog.default.catalog_returns
Output [4]: [cr_item_sk#8, cr_order_number#9, cr_refunded_cash#10, cr_returned_date_sk#11]
Batched: true
Location: CatalogFileIndex [{warehouse_dir}/catalog_returns]
PushedFilters: [IsNotNull(cr_order_number), IsNotNull(cr_item_sk)]
ReadSchema: struct<cr_item_sk:int,cr_order_number:int,cr_refunded_cash:decimal(7,2)>

(10) FilterExecTransformer
Input [4]: [cr_item_sk#8, cr_order_number#9, cr_refunded_cash#10, cr_returned_date_sk#11]
Arguments: (isnotnull(cr_order_number#9) AND isnotnull(cr_item_sk#8))

(11) ProjectExecTransformer
Output [4]: [hash(cr_order_number#9, cr_item_sk#8, 42) AS hash_partition_key#12, cr_item_sk#8, cr_order_number#9, cr_refunded_cash#10]
Input [4]: [cr_item_sk#8, cr_order_number#9, cr_refunded_cash#10, cr_returned_date_sk#11]

(12) WholeStageCodegenTransformer (3)
Input [4]: [hash_partition_key#12, cr_item_sk#8, cr_order_number#9, cr_refunded_cash#10]
Arguments: false

(13) VeloxResizeBatches
Input [4]: [hash_partition_key#12, cr_item_sk#8, cr_order_number#9, cr_refunded_cash#10]
Arguments: 1024, 2147483647, 10485760

(14) ColumnarExchange
Input [4]: [hash_partition_key#12, cr_item_sk#8, cr_order_number#9, cr_refunded_cash#10]
Arguments: hashpartitioning(cr_order_number#9, cr_item_sk#8, 1), ENSURE_REQUIREMENTS, [cr_item_sk#8, cr_order_number#9, cr_refunded_cash#10], [plan_id=2], [shuffle_writer_type=hash]

(15) InputAdapter
Input [3]: [cr_item_sk#8, cr_order_number#9, cr_refunded_cash#10]

(16) InputIteratorTransformer
Input [3]: [cr_item_sk#8, cr_order_number#9, cr_refunded_cash#10]

(17) ShuffledHashJoinExecTransformer
Left keys [2]: [cs_order_number#3, cs_item_sk#2]
Right keys [2]: [cr_order_number#9, cr_item_sk#8]
Join type: LeftOuter
Join condition: None

(18) ProjectExecTransformer
Output [5]: [cs_warehouse_sk#1, cs_item_sk#2, cs_sales_price#4, cs_sold_date_sk#5, cr_refunded_cash#10]
Input [8]: [cs_warehouse_sk#1, cs_item_sk#2, cs_order_number#3, cs_sales_price#4, cs_sold_date_sk#5, cr_item_sk#8, cr_order_number#9, cr_refunded_cash#10]

(19) FileSourceScanExecTransformer parquet spark_catalog.default.warehouse
Output [2]: [w_warehouse_sk#13, w_state#14]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/warehouse]
PushedFilters: [IsNotNull(w_warehouse_sk)]
ReadSchema: struct<w_warehouse_sk:int,w_state:string>

(20) FilterExecTransformer
Input [2]: [w_warehouse_sk#13, w_state#14]
Arguments: isnotnull(w_warehouse_sk#13)

(21) WholeStageCodegenTransformer (4)
Input [2]: [w_warehouse_sk#13, w_state#14]
Arguments: false

(22) ColumnarBroadcastExchange
Input [2]: [w_warehouse_sk#13, w_state#14]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3]

(23) InputAdapter
Input [2]: [w_warehouse_sk#13, w_state#14]

(24) InputIteratorTransformer
Input [2]: [w_warehouse_sk#13, w_state#14]

(25) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_warehouse_sk#1]
Right keys [1]: [w_warehouse_sk#13]
Join type: Inner
Join condition: None

(26) ProjectExecTransformer
Output [5]: [cs_item_sk#2, cs_sales_price#4, cs_sold_date_sk#5, cr_refunded_cash#10, w_state#14]
Input [7]: [cs_warehouse_sk#1, cs_item_sk#2, cs_sales_price#4, cs_sold_date_sk#5, cr_refunded_cash#10, w_warehouse_sk#13, w_state#14]

(27) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [3]: [i_item_sk#15, i_item_id#16, i_current_price#17]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_current_price), GreaterThanOrEqual(i_current_price,0.99), LessThanOrEqual(i_current_price,1.49), IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_item_id:string,i_current_price:decimal(7,2)>

(28) FilterExecTransformer
Input [3]: [i_item_sk#15, i_item_id#16, i_current_price#17]
Arguments: (((isnotnull(i_current_price#17) AND (i_current_price#17 >= 0.99)) AND (i_current_price#17 <= 1.49)) AND isnotnull(i_item_sk#15))

(29) ProjectExecTransformer
Output [2]: [i_item_sk#15, i_item_id#16]
Input [3]: [i_item_sk#15, i_item_id#16, i_current_price#17]

(30) WholeStageCodegenTransformer (5)
Input [2]: [i_item_sk#15, i_item_id#16]
Arguments: false

(31) ColumnarBroadcastExchange
Input [2]: [i_item_sk#15, i_item_id#16]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4]

(32) InputAdapter
Input [2]: [i_item_sk#15, i_item_id#16]

(33) InputIteratorTransformer
Input [2]: [i_item_sk#15, i_item_id#16]

(34) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_item_sk#2]
Right keys [1]: [i_item_sk#15]
Join type: Inner
Join condition: None

(35) ProjectExecTransformer
Output [5]: [cs_sales_price#4, cs_sold_date_sk#5, cr_refunded_cash#10, w_state#14, i_item_id#16]
Input [7]: [cs_item_sk#2, cs_sales_price#4, cs_sold_date_sk#5, cr_refunded_cash#10, w_state#14, i_item_sk#15, i_item_id#16]

(36) ReusedExchange [Reuses operator id: 55]
Output [2]: [d_date_sk#18, d_date#19]

(37) InputAdapter
Input [2]: [d_date_sk#18, d_date#19]

(38) InputIteratorTransformer
Input [2]: [d_date_sk#18, d_date#19]

(39) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_sold_date_sk#5]
Right keys [1]: [d_date_sk#18]
Join type: Inner
Join condition: None

(40) ProjectExecTransformer
Output [4]: [w_state#14, i_item_id#16, CASE WHEN (d_date#19 < 2000-03-11) THEN (cs_sales_price#4 - coalesce(cast(cr_refunded_cash#10 as decimal(12,2)), 0.00)) ELSE 0.00 END AS _pre_1#20, CASE WHEN (d_date#19 >= 2000-03-11) THEN (cs_sales_price#4 - coalesce(cast(cr_refunded_cash#10 as decimal(12,2)), 0.00)) ELSE 0.00 END AS _pre_2#21]
Input [7]: [cs_sales_price#4, cs_sold_date_sk#5, cr_refunded_cash#10, w_state#14, i_item_id#16, d_date_sk#18, d_date#19]

(41) FlushableHashAggregateExecTransformer
Input [4]: [w_state#14, i_item_id#16, _pre_1#20, _pre_2#21]
Keys [2]: [w_state#14, i_item_id#16]
Functions [2]: [partial_sum(_pre_1#20), partial_sum(_pre_2#21)]
Aggregate Attributes [4]: [sum#22, isEmpty#23, sum#24, isEmpty#25]
Results [6]: [w_state#14, i_item_id#16, sum#26, isEmpty#27, sum#28, isEmpty#29]

(42) ProjectExecTransformer
Output [7]: [hash(w_state#14, i_item_id#16, 42) AS hash_partition_key#30, w_state#14, i_item_id#16, sum#26, isEmpty#27, sum#28, isEmpty#29]
Input [6]: [w_state#14, i_item_id#16, sum#26, isEmpty#27, sum#28, isEmpty#29]

(43) WholeStageCodegenTransformer (7)
Input [7]: [hash_partition_key#30, w_state#14, i_item_id#16, sum#26, isEmpty#27, sum#28, isEmpty#29]
Arguments: false

(44) VeloxResizeBatches
Input [7]: [hash_partition_key#30, w_state#14, i_item_id#16, sum#26, isEmpty#27, sum#28, isEmpty#29]
Arguments: 1024, 2147483647, 10485760

(45) ColumnarExchange
Input [7]: [hash_partition_key#30, w_state#14, i_item_id#16, sum#26, isEmpty#27, sum#28, isEmpty#29]
Arguments: hashpartitioning(w_state#14, i_item_id#16, 1), ENSURE_REQUIREMENTS, [w_state#14, i_item_id#16, sum#26, isEmpty#27, sum#28, isEmpty#29], [plan_id=5], [shuffle_writer_type=hash]

(46) InputAdapter
Input [6]: [w_state#14, i_item_id#16, sum#26, isEmpty#27, sum#28, isEmpty#29]

(47) InputIteratorTransformer
Input [6]: [w_state#14, i_item_id#16, sum#26, isEmpty#27, sum#28, isEmpty#29]

(48) RegularHashAggregateExecTransformer
Input [6]: [w_state#14, i_item_id#16, sum#26, isEmpty#27, sum#28, isEmpty#29]
Keys [2]: [w_state#14, i_item_id#16]
Functions [2]: [sum(CASE WHEN (d_date#19 < 2000-03-11) THEN (cs_sales_price#4 - coalesce(cast(cr_refunded_cash#10 as decimal(12,2)), 0.00)) ELSE 0.00 END), sum(CASE WHEN (d_date#19 >= 2000-03-11) THEN (cs_sales_price#4 - coalesce(cast(cr_refunded_cash#10 as decimal(12,2)), 0.00)) ELSE 0.00 END)]
Aggregate Attributes [2]: [sum(CASE WHEN (d_date#19 < 2000-03-11) THEN (cs_sales_price#4 - coalesce(cast(cr_refunded_cash#10 as decimal(12,2)), 0.00)) ELSE 0.00 END)#31, sum(CASE WHEN (d_date#19 >= 2000-03-11) THEN (cs_sales_price#4 - coalesce(cast(cr_refunded_cash#10 as decimal(12,2)), 0.00)) ELSE 0.00 END)#32]
Results [4]: [w_state#14, i_item_id#16, sum(CASE WHEN (d_date#19 < 2000-03-11) THEN (cs_sales_price#4 - coalesce(cast(cr_refunded_cash#10 as decimal(12,2)), 0.00)) ELSE 0.00 END)#31 AS sales_before#33, sum(CASE WHEN (d_date#19 >= 2000-03-11) THEN (cs_sales_price#4 - coalesce(cast(cr_refunded_cash#10 as decimal(12,2)), 0.00)) ELSE 0.00 END)#32 AS sales_after#34]

(49) WholeStageCodegenTransformer (8)
Input [4]: [w_state#14, i_item_id#16, sales_before#33, sales_after#34]
Arguments: false

(50) TakeOrderedAndProjectExecTransformer
Input [4]: [w_state#14, i_item_id#16, sales_before#33, sales_after#34]
Arguments: 100, [w_state#14 ASC NULLS FIRST, i_item_id#16 ASC NULLS FIRST], [w_state#14, i_item_id#16, sales_before#33, sales_after#34], 0

(51) VeloxColumnarToRow
Input [4]: [w_state#14, i_item_id#16, sales_before#33, sales_after#34]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#5 IN dynamicpruning#6
ColumnarBroadcastExchange (55)
+- ^ FilterExecTransformer (53)
   +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (52)


(52) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#18, d_date#19]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-02-10), LessThanOrEqual(d_date,2000-04-10), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(53) FilterExecTransformer
Input [2]: [d_date_sk#18, d_date#19]
Arguments: (((isnotnull(d_date#19) AND (d_date#19 >= 2000-02-10)) AND (d_date#19 <= 2000-04-10)) AND isnotnull(d_date_sk#18))

(54) WholeStageCodegenTransformer (1)
Input [2]: [d_date_sk#18, d_date#19]
Arguments: false

(55) ColumnarBroadcastExchange
Input [2]: [d_date_sk#18, d_date#19]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=6]


