== 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 (32)
                           :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (31)
                           :     :- ^ ProjectExecTransformer (27)
                           :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (26)
                           :     :     :- ^ ProjectExecTransformer (18)
                           :     :     :  +- ^ ShuffledHashJoinExecTransformer LeftOuter 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.catalog_returns (9)
                           :     :     +- ^ InputIteratorTransformer (25)
                           :     :        +- ColumnarBroadcastExchange (23)
                           :     :           +- ^ ProjectExecTransformer (21)
                           :     :              +- ^ FilterExecTransformer (20)
                           :     :                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (19)
                           :     +- ^ InputIteratorTransformer (30)
                           :        +- ReusedExchange (28)
                           +- ^ InputIteratorTransformer (38)
                              +- ColumnarBroadcastExchange (36)
                                 +- ^ FilterExecTransformer (34)
                                    +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.warehouse (33)


(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)) AND velox_might_contain(Subquery scalar-subquery#7, [id=#1], xxhash64(cs_item_sk#2, 42)))

(3) ProjectExecTransformer
Output [6]: [hash(cs_order_number#3, cs_item_sk#2, 42) AS hash_partition_key#8, 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 (4)
Input [6]: [hash_partition_key#8, 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#8, 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#8, 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=2], [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#9, cr_order_number#10, cr_refunded_cash#11, cr_returned_date_sk#12]
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#9, cr_order_number#10, cr_refunded_cash#11, cr_returned_date_sk#12]
Arguments: (isnotnull(cr_order_number#10) AND isnotnull(cr_item_sk#9))

(11) ProjectExecTransformer
Output [4]: [hash(cr_order_number#10, cr_item_sk#9, 42) AS hash_partition_key#13, cr_item_sk#9, cr_order_number#10, cr_refunded_cash#11]
Input [4]: [cr_item_sk#9, cr_order_number#10, cr_refunded_cash#11, cr_returned_date_sk#12]

(12) WholeStageCodegenTransformer (5)
Input [4]: [hash_partition_key#13, cr_item_sk#9, cr_order_number#10, cr_refunded_cash#11]
Arguments: false

(13) VeloxResizeBatches
Input [4]: [hash_partition_key#13, cr_item_sk#9, cr_order_number#10, cr_refunded_cash#11]
Arguments: 1024, 2147483647, 10485760

(14) ColumnarExchange
Input [4]: [hash_partition_key#13, cr_item_sk#9, cr_order_number#10, cr_refunded_cash#11]
Arguments: hashpartitioning(cr_order_number#10, cr_item_sk#9, 1), ENSURE_REQUIREMENTS, [cr_item_sk#9, cr_order_number#10, cr_refunded_cash#11], [plan_id=3], [shuffle_writer_type=hash]

(15) InputAdapter
Input [3]: [cr_item_sk#9, cr_order_number#10, cr_refunded_cash#11]

(16) InputIteratorTransformer
Input [3]: [cr_item_sk#9, cr_order_number#10, cr_refunded_cash#11]

(17) ShuffledHashJoinExecTransformer
Left keys [2]: [cs_order_number#3, cs_item_sk#2]
Right keys [2]: [cr_order_number#10, cr_item_sk#9]
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#11]
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#9, cr_order_number#10, cr_refunded_cash#11]

(19) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [3]: [i_item_sk#14, i_item_id#15, i_current_price#16]
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)>

(20) FilterExecTransformer
Input [3]: [i_item_sk#14, i_item_id#15, i_current_price#16]
Arguments: (((isnotnull(i_current_price#16) AND (i_current_price#16 >= 0.99)) AND (i_current_price#16 <= 1.49)) AND isnotnull(i_item_sk#14))

(21) ProjectExecTransformer
Output [2]: [i_item_sk#14, i_item_id#15]
Input [3]: [i_item_sk#14, i_item_id#15, i_current_price#16]

(22) WholeStageCodegenTransformer (6)
Input [2]: [i_item_sk#14, i_item_id#15]
Arguments: false

(23) ColumnarBroadcastExchange
Input [2]: [i_item_sk#14, i_item_id#15]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4]

(24) InputAdapter
Input [2]: [i_item_sk#14, i_item_id#15]

(25) InputIteratorTransformer
Input [2]: [i_item_sk#14, i_item_id#15]

(26) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_item_sk#2]
Right keys [1]: [i_item_sk#14]
Join type: Inner
Join condition: None

(27) ProjectExecTransformer
Output [5]: [cs_warehouse_sk#1, cs_sales_price#4, cs_sold_date_sk#5, cr_refunded_cash#11, i_item_id#15]
Input [7]: [cs_warehouse_sk#1, cs_item_sk#2, cs_sales_price#4, cs_sold_date_sk#5, cr_refunded_cash#11, i_item_sk#14, i_item_id#15]

(28) ReusedExchange [Reuses operator id: 67]
Output [2]: [d_date_sk#17, d_date#18]

(29) InputAdapter
Input [2]: [d_date_sk#17, d_date#18]

(30) InputIteratorTransformer
Input [2]: [d_date_sk#17, d_date#18]

(31) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_sold_date_sk#5]
Right keys [1]: [d_date_sk#17]
Join type: Inner
Join condition: None

(32) ProjectExecTransformer
Output [5]: [cs_warehouse_sk#1, cs_sales_price#4, cr_refunded_cash#11, i_item_id#15, d_date#18]
Input [7]: [cs_warehouse_sk#1, cs_sales_price#4, cs_sold_date_sk#5, cr_refunded_cash#11, i_item_id#15, d_date_sk#17, d_date#18]

(33) FileSourceScanExecTransformer parquet spark_catalog.default.warehouse
Output [2]: [w_warehouse_sk#19, w_state#20]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/warehouse]
PushedFilters: [IsNotNull(w_warehouse_sk)]
ReadSchema: struct<w_warehouse_sk:int,w_state:string>

(34) FilterExecTransformer
Input [2]: [w_warehouse_sk#19, w_state#20]
Arguments: isnotnull(w_warehouse_sk#19)

(35) WholeStageCodegenTransformer (8)
Input [2]: [w_warehouse_sk#19, w_state#20]
Arguments: false

(36) ColumnarBroadcastExchange
Input [2]: [w_warehouse_sk#19, w_state#20]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5]

(37) InputAdapter
Input [2]: [w_warehouse_sk#19, w_state#20]

(38) InputIteratorTransformer
Input [2]: [w_warehouse_sk#19, w_state#20]

(39) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_warehouse_sk#1]
Right keys [1]: [w_warehouse_sk#19]
Join type: Inner
Join condition: None

(40) ProjectExecTransformer
Output [4]: [w_state#20, i_item_id#15, CASE WHEN (d_date#18 < 2000-03-11) THEN (cs_sales_price#4 - coalesce(cast(cr_refunded_cash#11 as decimal(12,2)), 0.00)) ELSE 0.00 END AS _pre_1#21, CASE WHEN (d_date#18 >= 2000-03-11) THEN (cs_sales_price#4 - coalesce(cast(cr_refunded_cash#11 as decimal(12,2)), 0.00)) ELSE 0.00 END AS _pre_2#22]
Input [7]: [cs_warehouse_sk#1, cs_sales_price#4, cr_refunded_cash#11, i_item_id#15, d_date#18, w_warehouse_sk#19, w_state#20]

(41) FlushableHashAggregateExecTransformer
Input [4]: [w_state#20, i_item_id#15, _pre_1#21, _pre_2#22]
Keys [2]: [w_state#20, i_item_id#15]
Functions [2]: [partial_sum(_pre_1#21), partial_sum(_pre_2#22)]
Aggregate Attributes [4]: [sum#23, isEmpty#24, sum#25, isEmpty#26]
Results [6]: [w_state#20, i_item_id#15, sum#27, isEmpty#28, sum#29, isEmpty#30]

(42) ProjectExecTransformer
Output [7]: [hash(w_state#20, i_item_id#15, 42) AS hash_partition_key#31, w_state#20, i_item_id#15, sum#27, isEmpty#28, sum#29, isEmpty#30]
Input [6]: [w_state#20, i_item_id#15, sum#27, isEmpty#28, sum#29, isEmpty#30]

(43) WholeStageCodegenTransformer (9)
Input [7]: [hash_partition_key#31, w_state#20, i_item_id#15, sum#27, isEmpty#28, sum#29, isEmpty#30]
Arguments: false

(44) VeloxResizeBatches
Input [7]: [hash_partition_key#31, w_state#20, i_item_id#15, sum#27, isEmpty#28, sum#29, isEmpty#30]
Arguments: 1024, 2147483647, 10485760

(45) ColumnarExchange
Input [7]: [hash_partition_key#31, w_state#20, i_item_id#15, sum#27, isEmpty#28, sum#29, isEmpty#30]
Arguments: hashpartitioning(w_state#20, i_item_id#15, 1), ENSURE_REQUIREMENTS, [w_state#20, i_item_id#15, sum#27, isEmpty#28, sum#29, isEmpty#30], [plan_id=6], [shuffle_writer_type=hash]

(46) InputAdapter
Input [6]: [w_state#20, i_item_id#15, sum#27, isEmpty#28, sum#29, isEmpty#30]

(47) InputIteratorTransformer
Input [6]: [w_state#20, i_item_id#15, sum#27, isEmpty#28, sum#29, isEmpty#30]

(48) RegularHashAggregateExecTransformer
Input [6]: [w_state#20, i_item_id#15, sum#27, isEmpty#28, sum#29, isEmpty#30]
Keys [2]: [w_state#20, i_item_id#15]
Functions [2]: [sum(CASE WHEN (d_date#18 < 2000-03-11) THEN (cs_sales_price#4 - coalesce(cast(cr_refunded_cash#11 as decimal(12,2)), 0.00)) ELSE 0.00 END), sum(CASE WHEN (d_date#18 >= 2000-03-11) THEN (cs_sales_price#4 - coalesce(cast(cr_refunded_cash#11 as decimal(12,2)), 0.00)) ELSE 0.00 END)]
Aggregate Attributes [2]: [sum(CASE WHEN (d_date#18 < 2000-03-11) THEN (cs_sales_price#4 - coalesce(cast(cr_refunded_cash#11 as decimal(12,2)), 0.00)) ELSE 0.00 END)#32, sum(CASE WHEN (d_date#18 >= 2000-03-11) THEN (cs_sales_price#4 - coalesce(cast(cr_refunded_cash#11 as decimal(12,2)), 0.00)) ELSE 0.00 END)#33]
Results [4]: [w_state#20, i_item_id#15, sum(CASE WHEN (d_date#18 < 2000-03-11) THEN (cs_sales_price#4 - coalesce(cast(cr_refunded_cash#11 as decimal(12,2)), 0.00)) ELSE 0.00 END)#32 AS sales_before#34, sum(CASE WHEN (d_date#18 >= 2000-03-11) THEN (cs_sales_price#4 - coalesce(cast(cr_refunded_cash#11 as decimal(12,2)), 0.00)) ELSE 0.00 END)#33 AS sales_after#35]

(49) WholeStageCodegenTransformer (10)
Input [4]: [w_state#20, i_item_id#15, sales_before#34, sales_after#35]
Arguments: false

(50) TakeOrderedAndProjectExecTransformer
Input [4]: [w_state#20, i_item_id#15, sales_before#34, sales_after#35]
Arguments: 100, [w_state#20 ASC NULLS FIRST, i_item_id#15 ASC NULLS FIRST], [w_state#20, i_item_id#15, sales_before#34, sales_after#35], 0

(51) VeloxColumnarToRow
Input [4]: [w_state#20, i_item_id#15, sales_before#34, sales_after#35]

===== Subqueries =====

Subquery:1 Hosting operator id = 2 Hosting Expression = Subquery scalar-subquery#7, [id=#1]
VeloxColumnarToRow (63)
+- ^ RegularHashAggregateExecTransformer (61)
   +- ^ InputIteratorTransformer (60)
      +- ColumnarExchange (58)
         +- VeloxResizeBatches (57)
            +- ^ FlushableHashAggregateExecTransformer (55)
               +- ^ ProjectExecTransformer (54)
                  +- ^ FilterExecTransformer (53)
                     +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (52)


(52) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [2]: [i_item_sk#14, i_current_price#16]
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_current_price:decimal(7,2)>

(53) FilterExecTransformer
Input [2]: [i_item_sk#14, i_current_price#16]
Arguments: (((isnotnull(i_current_price#16) AND (i_current_price#16 >= 0.99)) AND (i_current_price#16 <= 1.49)) AND isnotnull(i_item_sk#14))

(54) ProjectExecTransformer
Output [1]: [xxhash64(i_item_sk#14, 42) AS _pre_3#36]
Input [2]: [i_item_sk#14, i_current_price#16]

(55) FlushableHashAggregateExecTransformer
Input [1]: [_pre_3#36]
Keys: []
Functions [1]: [partial_velox_bloom_filter_agg(_pre_3#36, 1019, 24988, 0, 0)]
Aggregate Attributes [1]: [buf#37]
Results [1]: [buf#38]

(56) WholeStageCodegenTransformer (1)
Input [1]: [buf#38]
Arguments: false

(57) VeloxResizeBatches
Input [1]: [buf#38]
Arguments: 1024, 2147483647, 10485760

(58) ColumnarExchange
Input [1]: [buf#38]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=7], [shuffle_writer_type=hash]

(59) InputAdapter
Input [1]: [buf#38]

(60) InputIteratorTransformer
Input [1]: [buf#38]

(61) RegularHashAggregateExecTransformer
Input [1]: [buf#38]
Keys: []
Functions [1]: [velox_bloom_filter_agg(xxhash64(i_item_sk#14, 42), 1019, 24988, 0, 0)]
Aggregate Attributes [1]: [bloom_filter_agg(xxhash64(i_item_sk#14, 42), 1019, 24988, 0, 0)#39]
Results [1]: [bloom_filter_agg(xxhash64(i_item_sk#14, 42), 1019, 24988, 0, 0)#39 AS bloomFilter#40]

(62) WholeStageCodegenTransformer (2)
Input [1]: [bloomFilter#40]
Arguments: false

(63) VeloxColumnarToRow
Input [1]: [bloomFilter#40]

Subquery:2 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#5 IN dynamicpruning#6
ColumnarBroadcastExchange (67)
+- ^ FilterExecTransformer (65)
   +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (64)


(64) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#17, d_date#18]
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>

(65) FilterExecTransformer
Input [2]: [d_date_sk#17, d_date#18]
Arguments: (((isnotnull(d_date#18) AND (d_date#18 >= 2000-02-10)) AND (d_date#18 <= 2000-04-10)) AND isnotnull(d_date_sk#17))

(66) WholeStageCodegenTransformer (3)
Input [2]: [d_date_sk#17, d_date#18]
Arguments: false

(67) ColumnarBroadcastExchange
Input [2]: [d_date_sk#17, d_date#18]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8]

Subquery:3 Hosting operator id = 1 Hosting Expression = Subquery scalar-subquery#7, [id=#1]
VeloxColumnarToRow (63)
+- ^ RegularHashAggregateExecTransformer (61)
   +- ^ InputIteratorTransformer (60)
      +- ColumnarExchange (58)
         +- VeloxResizeBatches (57)
            +- ^ FlushableHashAggregateExecTransformer (55)
               +- ^ ProjectExecTransformer (54)
                  +- ^ FilterExecTransformer (53)
                     +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (52)



