== Physical Plan ==
VeloxColumnarToRow (80)
+- TakeOrderedAndProjectExecTransformer (79)
   +- ^ ProjectExecTransformer (77)
      +- ^ RegularHashAggregateExecTransformer (76)
         +- ^ InputIteratorTransformer (75)
            +- ColumnarExchange (73)
               +- VeloxResizeBatches (72)
                  +- ^ ProjectExecTransformer (70)
                     +- ^ FlushableHashAggregateExecTransformer (69)
                        +- ^ ProjectExecTransformer (68)
                           +- ^ ShuffledHashJoinExecTransformer Inner BuildRight (67)
                              :- ^ InputIteratorTransformer (54)
                              :  +- ColumnarExchange (52)
                              :     +- VeloxResizeBatches (51)
                              :        +- ^ ProjectExecTransformer (49)
                              :           +- ^ ShuffledHashJoinExecTransformer Inner BuildRight (48)
                              :              :- ^ InputIteratorTransformer (35)
                              :              :  +- ColumnarExchange (33)
                              :              :     +- VeloxResizeBatches (32)
                              :              :        +- ^ ProjectExecTransformer (30)
                              :              :           +- ^ ShuffledHashJoinExecTransformer Inner BuildRight (29)
                              :              :              :- ^ InputIteratorTransformer (20)
                              :              :              :  +- ColumnarExchange (18)
                              :              :              :     +- VeloxResizeBatches (17)
                              :              :              :        +- ^ ProjectExecTransformer (15)
                              :              :              :           +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (14)
                              :              :              :              :- ^ ProjectExecTransformer (7)
                              :              :              :              :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (6)
                              :              :              :              :     :- ^ FilterExecTransformer (2)
                              :              :              :              :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store_sales (1)
                              :              :              :              :     +- ^ InputIteratorTransformer (5)
                              :              :              :              :        +- ReusedExchange (3)
                              :              :              :              +- ^ InputIteratorTransformer (13)
                              :              :              :                 +- ColumnarBroadcastExchange (11)
                              :              :              :                    +- ^ FilterExecTransformer (9)
                              :              :              :                       +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store (8)
                              :              :              +- ^ InputIteratorTransformer (28)
                              :              :                 +- ColumnarExchange (26)
                              :              :                    +- VeloxResizeBatches (25)
                              :              :                       +- ^ ProjectExecTransformer (23)
                              :              :                          +- ^ FilterExecTransformer (22)
                              :              :                             +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (21)
                              :              +- ^ InputIteratorTransformer (47)
                              :                 +- ColumnarExchange (45)
                              :                    +- VeloxResizeBatches (44)
                              :                       +- ^ ProjectExecTransformer (42)
                              :                          +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (41)
                              :                             :- ^ FilterExecTransformer (37)
                              :                             :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store_returns (36)
                              :                             +- ^ InputIteratorTransformer (40)
                              :                                +- ReusedExchange (38)
                              +- ^ InputIteratorTransformer (66)
                                 +- ColumnarExchange (64)
                                    +- VeloxResizeBatches (63)
                                       +- ^ ProjectExecTransformer (61)
                                          +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (60)
                                             :- ^ FilterExecTransformer (56)
                                             :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales (55)
                                             +- ^ InputIteratorTransformer (59)
                                                +- ReusedExchange (57)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.store_sales
Output [6]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_profit#5, ss_sold_date_sk#6]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#6), dynamicpruningexpression(ss_sold_date_sk#6 IN dynamicpruning#7)]
PushedFilters: [IsNotNull(ss_customer_sk), IsNotNull(ss_item_sk), IsNotNull(ss_ticket_number), IsNotNull(ss_store_sk)]
ReadSchema: struct<ss_item_sk:int,ss_customer_sk:int,ss_store_sk:int,ss_ticket_number:int,ss_net_profit:decimal(7,2)>

(2) FilterExecTransformer
Input [6]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_profit#5, ss_sold_date_sk#6]
Arguments: (((isnotnull(ss_customer_sk#2) AND isnotnull(ss_item_sk#1)) AND isnotnull(ss_ticket_number#4)) AND isnotnull(ss_store_sk#3))

(3) ReusedExchange [Reuses operator id: 85]
Output [1]: [d_date_sk#8]

(4) InputAdapter
Input [1]: [d_date_sk#8]

(5) InputIteratorTransformer
Input [1]: [d_date_sk#8]

(6) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_sold_date_sk#6]
Right keys [1]: [d_date_sk#8]
Join type: Inner
Join condition: None

(7) ProjectExecTransformer
Output [5]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_profit#5]
Input [7]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_profit#5, ss_sold_date_sk#6, d_date_sk#8]

(8) FileSourceScanExecTransformer parquet spark_catalog.default.store
Output [3]: [s_store_sk#9, s_store_id#10, s_store_name#11]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_store_id:string,s_store_name:string>

(9) FilterExecTransformer
Input [3]: [s_store_sk#9, s_store_id#10, s_store_name#11]
Arguments: isnotnull(s_store_sk#9)

(10) WholeStageCodegenTransformer (3)
Input [3]: [s_store_sk#9, s_store_id#10, s_store_name#11]
Arguments: false

(11) ColumnarBroadcastExchange
Input [3]: [s_store_sk#9, s_store_id#10, s_store_name#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=1]

(12) InputAdapter
Input [3]: [s_store_sk#9, s_store_id#10, s_store_name#11]

(13) InputIteratorTransformer
Input [3]: [s_store_sk#9, s_store_id#10, s_store_name#11]

(14) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_store_sk#3]
Right keys [1]: [s_store_sk#9]
Join type: Inner
Join condition: None

(15) ProjectExecTransformer
Output [7]: [hash(ss_item_sk#1, 42) AS hash_partition_key#12, ss_item_sk#1, ss_customer_sk#2, ss_ticket_number#4, ss_net_profit#5, s_store_id#10, s_store_name#11]
Input [8]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_net_profit#5, s_store_sk#9, s_store_id#10, s_store_name#11]

(16) WholeStageCodegenTransformer (4)
Input [7]: [hash_partition_key#12, ss_item_sk#1, ss_customer_sk#2, ss_ticket_number#4, ss_net_profit#5, s_store_id#10, s_store_name#11]
Arguments: false

(17) VeloxResizeBatches
Input [7]: [hash_partition_key#12, ss_item_sk#1, ss_customer_sk#2, ss_ticket_number#4, ss_net_profit#5, s_store_id#10, s_store_name#11]
Arguments: 1024, 2147483647, 10485760

(18) ColumnarExchange
Input [7]: [hash_partition_key#12, ss_item_sk#1, ss_customer_sk#2, ss_ticket_number#4, ss_net_profit#5, s_store_id#10, s_store_name#11]
Arguments: hashpartitioning(ss_item_sk#1, 1), ENSURE_REQUIREMENTS, [ss_item_sk#1, ss_customer_sk#2, ss_ticket_number#4, ss_net_profit#5, s_store_id#10, s_store_name#11], [plan_id=2], [shuffle_writer_type=hash]

(19) InputAdapter
Input [6]: [ss_item_sk#1, ss_customer_sk#2, ss_ticket_number#4, ss_net_profit#5, s_store_id#10, s_store_name#11]

(20) InputIteratorTransformer
Input [6]: [ss_item_sk#1, ss_customer_sk#2, ss_ticket_number#4, ss_net_profit#5, s_store_id#10, s_store_name#11]

(21) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [3]: [i_item_sk#13, i_item_id#14, i_item_desc#15]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_item_id:string,i_item_desc:string>

(22) FilterExecTransformer
Input [3]: [i_item_sk#13, i_item_id#14, i_item_desc#15]
Arguments: isnotnull(i_item_sk#13)

(23) ProjectExecTransformer
Output [4]: [hash(i_item_sk#13, 42) AS hash_partition_key#16, i_item_sk#13, i_item_id#14, i_item_desc#15]
Input [3]: [i_item_sk#13, i_item_id#14, i_item_desc#15]

(24) WholeStageCodegenTransformer (5)
Input [4]: [hash_partition_key#16, i_item_sk#13, i_item_id#14, i_item_desc#15]
Arguments: false

(25) VeloxResizeBatches
Input [4]: [hash_partition_key#16, i_item_sk#13, i_item_id#14, i_item_desc#15]
Arguments: 1024, 2147483647, 10485760

(26) ColumnarExchange
Input [4]: [hash_partition_key#16, i_item_sk#13, i_item_id#14, i_item_desc#15]
Arguments: hashpartitioning(i_item_sk#13, 1), ENSURE_REQUIREMENTS, [i_item_sk#13, i_item_id#14, i_item_desc#15], [plan_id=3], [shuffle_writer_type=hash]

(27) InputAdapter
Input [3]: [i_item_sk#13, i_item_id#14, i_item_desc#15]

(28) InputIteratorTransformer
Input [3]: [i_item_sk#13, i_item_id#14, i_item_desc#15]

(29) ShuffledHashJoinExecTransformer
Left keys [1]: [ss_item_sk#1]
Right keys [1]: [i_item_sk#13]
Join type: Inner
Join condition: None

(30) ProjectExecTransformer
Output [9]: [hash(ss_customer_sk#2, ss_item_sk#1, ss_ticket_number#4, 42) AS hash_partition_key#17, ss_item_sk#1, ss_customer_sk#2, ss_ticket_number#4, ss_net_profit#5, s_store_id#10, s_store_name#11, i_item_id#14, i_item_desc#15]
Input [9]: [ss_item_sk#1, ss_customer_sk#2, ss_ticket_number#4, ss_net_profit#5, s_store_id#10, s_store_name#11, i_item_sk#13, i_item_id#14, i_item_desc#15]

(31) WholeStageCodegenTransformer (6)
Input [9]: [hash_partition_key#17, ss_item_sk#1, ss_customer_sk#2, ss_ticket_number#4, ss_net_profit#5, s_store_id#10, s_store_name#11, i_item_id#14, i_item_desc#15]
Arguments: false

(32) VeloxResizeBatches
Input [9]: [hash_partition_key#17, ss_item_sk#1, ss_customer_sk#2, ss_ticket_number#4, ss_net_profit#5, s_store_id#10, s_store_name#11, i_item_id#14, i_item_desc#15]
Arguments: 1024, 2147483647, 10485760

(33) ColumnarExchange
Input [9]: [hash_partition_key#17, ss_item_sk#1, ss_customer_sk#2, ss_ticket_number#4, ss_net_profit#5, s_store_id#10, s_store_name#11, i_item_id#14, i_item_desc#15]
Arguments: hashpartitioning(ss_customer_sk#2, ss_item_sk#1, ss_ticket_number#4, 1), ENSURE_REQUIREMENTS, [ss_item_sk#1, ss_customer_sk#2, ss_ticket_number#4, ss_net_profit#5, s_store_id#10, s_store_name#11, i_item_id#14, i_item_desc#15], [plan_id=4], [shuffle_writer_type=hash]

(34) InputAdapter
Input [8]: [ss_item_sk#1, ss_customer_sk#2, ss_ticket_number#4, ss_net_profit#5, s_store_id#10, s_store_name#11, i_item_id#14, i_item_desc#15]

(35) InputIteratorTransformer
Input [8]: [ss_item_sk#1, ss_customer_sk#2, ss_ticket_number#4, ss_net_profit#5, s_store_id#10, s_store_name#11, i_item_id#14, i_item_desc#15]

(36) FileSourceScanExecTransformer parquet spark_catalog.default.store_returns
Output [5]: [sr_item_sk#18, sr_customer_sk#19, sr_ticket_number#20, sr_net_loss#21, sr_returned_date_sk#22]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(sr_returned_date_sk#22), dynamicpruningexpression(sr_returned_date_sk#22 IN dynamicpruning#23)]
PushedFilters: [IsNotNull(sr_customer_sk), IsNotNull(sr_item_sk), IsNotNull(sr_ticket_number)]
ReadSchema: struct<sr_item_sk:int,sr_customer_sk:int,sr_ticket_number:int,sr_net_loss:decimal(7,2)>

(37) FilterExecTransformer
Input [5]: [sr_item_sk#18, sr_customer_sk#19, sr_ticket_number#20, sr_net_loss#21, sr_returned_date_sk#22]
Arguments: ((isnotnull(sr_customer_sk#19) AND isnotnull(sr_item_sk#18)) AND isnotnull(sr_ticket_number#20))

(38) ReusedExchange [Reuses operator id: 90]
Output [1]: [d_date_sk#24]

(39) InputAdapter
Input [1]: [d_date_sk#24]

(40) InputIteratorTransformer
Input [1]: [d_date_sk#24]

(41) BroadcastHashJoinExecTransformer
Left keys [1]: [sr_returned_date_sk#22]
Right keys [1]: [d_date_sk#24]
Join type: Inner
Join condition: None

(42) ProjectExecTransformer
Output [5]: [hash(sr_customer_sk#19, sr_item_sk#18, sr_ticket_number#20, 42) AS hash_partition_key#25, sr_item_sk#18, sr_customer_sk#19, sr_ticket_number#20, sr_net_loss#21]
Input [6]: [sr_item_sk#18, sr_customer_sk#19, sr_ticket_number#20, sr_net_loss#21, sr_returned_date_sk#22, d_date_sk#24]

(43) WholeStageCodegenTransformer (9)
Input [5]: [hash_partition_key#25, sr_item_sk#18, sr_customer_sk#19, sr_ticket_number#20, sr_net_loss#21]
Arguments: false

(44) VeloxResizeBatches
Input [5]: [hash_partition_key#25, sr_item_sk#18, sr_customer_sk#19, sr_ticket_number#20, sr_net_loss#21]
Arguments: 1024, 2147483647, 10485760

(45) ColumnarExchange
Input [5]: [hash_partition_key#25, sr_item_sk#18, sr_customer_sk#19, sr_ticket_number#20, sr_net_loss#21]
Arguments: hashpartitioning(sr_customer_sk#19, sr_item_sk#18, sr_ticket_number#20, 1), ENSURE_REQUIREMENTS, [sr_item_sk#18, sr_customer_sk#19, sr_ticket_number#20, sr_net_loss#21], [plan_id=5], [shuffle_writer_type=hash]

(46) InputAdapter
Input [4]: [sr_item_sk#18, sr_customer_sk#19, sr_ticket_number#20, sr_net_loss#21]

(47) InputIteratorTransformer
Input [4]: [sr_item_sk#18, sr_customer_sk#19, sr_ticket_number#20, sr_net_loss#21]

(48) ShuffledHashJoinExecTransformer
Left keys [3]: [ss_customer_sk#2, ss_item_sk#1, ss_ticket_number#4]
Right keys [3]: [sr_customer_sk#19, sr_item_sk#18, sr_ticket_number#20]
Join type: Inner
Join condition: None

(49) ProjectExecTransformer
Output [9]: [hash(sr_customer_sk#19, sr_item_sk#18, 42) AS hash_partition_key#26, ss_net_profit#5, s_store_id#10, s_store_name#11, i_item_id#14, i_item_desc#15, sr_item_sk#18, sr_customer_sk#19, sr_net_loss#21]
Input [12]: [ss_item_sk#1, ss_customer_sk#2, ss_ticket_number#4, ss_net_profit#5, s_store_id#10, s_store_name#11, i_item_id#14, i_item_desc#15, sr_item_sk#18, sr_customer_sk#19, sr_ticket_number#20, sr_net_loss#21]

(50) WholeStageCodegenTransformer (10)
Input [9]: [hash_partition_key#26, ss_net_profit#5, s_store_id#10, s_store_name#11, i_item_id#14, i_item_desc#15, sr_item_sk#18, sr_customer_sk#19, sr_net_loss#21]
Arguments: false

(51) VeloxResizeBatches
Input [9]: [hash_partition_key#26, ss_net_profit#5, s_store_id#10, s_store_name#11, i_item_id#14, i_item_desc#15, sr_item_sk#18, sr_customer_sk#19, sr_net_loss#21]
Arguments: 1024, 2147483647, 10485760

(52) ColumnarExchange
Input [9]: [hash_partition_key#26, ss_net_profit#5, s_store_id#10, s_store_name#11, i_item_id#14, i_item_desc#15, sr_item_sk#18, sr_customer_sk#19, sr_net_loss#21]
Arguments: hashpartitioning(sr_customer_sk#19, sr_item_sk#18, 1), ENSURE_REQUIREMENTS, [ss_net_profit#5, s_store_id#10, s_store_name#11, i_item_id#14, i_item_desc#15, sr_item_sk#18, sr_customer_sk#19, sr_net_loss#21], [plan_id=6], [shuffle_writer_type=hash]

(53) InputAdapter
Input [8]: [ss_net_profit#5, s_store_id#10, s_store_name#11, i_item_id#14, i_item_desc#15, sr_item_sk#18, sr_customer_sk#19, sr_net_loss#21]

(54) InputIteratorTransformer
Input [8]: [ss_net_profit#5, s_store_id#10, s_store_name#11, i_item_id#14, i_item_desc#15, sr_item_sk#18, sr_customer_sk#19, sr_net_loss#21]

(55) FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales
Output [4]: [cs_bill_customer_sk#27, cs_item_sk#28, cs_net_profit#29, cs_sold_date_sk#30]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#30), dynamicpruningexpression(cs_sold_date_sk#30 IN dynamicpruning#23)]
PushedFilters: [IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)]
ReadSchema: struct<cs_bill_customer_sk:int,cs_item_sk:int,cs_net_profit:decimal(7,2)>

(56) FilterExecTransformer
Input [4]: [cs_bill_customer_sk#27, cs_item_sk#28, cs_net_profit#29, cs_sold_date_sk#30]
Arguments: (isnotnull(cs_bill_customer_sk#27) AND isnotnull(cs_item_sk#28))

(57) ReusedExchange [Reuses operator id: 90]
Output [1]: [d_date_sk#31]

(58) InputAdapter
Input [1]: [d_date_sk#31]

(59) InputIteratorTransformer
Input [1]: [d_date_sk#31]

(60) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_sold_date_sk#30]
Right keys [1]: [d_date_sk#31]
Join type: Inner
Join condition: None

(61) ProjectExecTransformer
Output [4]: [hash(cs_bill_customer_sk#27, cs_item_sk#28, 42) AS hash_partition_key#32, cs_bill_customer_sk#27, cs_item_sk#28, cs_net_profit#29]
Input [5]: [cs_bill_customer_sk#27, cs_item_sk#28, cs_net_profit#29, cs_sold_date_sk#30, d_date_sk#31]

(62) WholeStageCodegenTransformer (13)
Input [4]: [hash_partition_key#32, cs_bill_customer_sk#27, cs_item_sk#28, cs_net_profit#29]
Arguments: false

(63) VeloxResizeBatches
Input [4]: [hash_partition_key#32, cs_bill_customer_sk#27, cs_item_sk#28, cs_net_profit#29]
Arguments: 1024, 2147483647, 10485760

(64) ColumnarExchange
Input [4]: [hash_partition_key#32, cs_bill_customer_sk#27, cs_item_sk#28, cs_net_profit#29]
Arguments: hashpartitioning(cs_bill_customer_sk#27, cs_item_sk#28, 1), ENSURE_REQUIREMENTS, [cs_bill_customer_sk#27, cs_item_sk#28, cs_net_profit#29], [plan_id=7], [shuffle_writer_type=hash]

(65) InputAdapter
Input [3]: [cs_bill_customer_sk#27, cs_item_sk#28, cs_net_profit#29]

(66) InputIteratorTransformer
Input [3]: [cs_bill_customer_sk#27, cs_item_sk#28, cs_net_profit#29]

(67) ShuffledHashJoinExecTransformer
Left keys [2]: [sr_customer_sk#19, sr_item_sk#18]
Right keys [2]: [cs_bill_customer_sk#27, cs_item_sk#28]
Join type: Inner
Join condition: None

(68) ProjectExecTransformer
Output [7]: [s_store_id#10, s_store_name#11, i_item_id#14, i_item_desc#15, UnscaledValue(ss_net_profit#5) AS _pre_1#33, UnscaledValue(sr_net_loss#21) AS _pre_2#34, UnscaledValue(cs_net_profit#29) AS _pre_3#35]
Input [11]: [ss_net_profit#5, s_store_id#10, s_store_name#11, i_item_id#14, i_item_desc#15, sr_item_sk#18, sr_customer_sk#19, sr_net_loss#21, cs_bill_customer_sk#27, cs_item_sk#28, cs_net_profit#29]

(69) FlushableHashAggregateExecTransformer
Input [7]: [s_store_id#10, s_store_name#11, i_item_id#14, i_item_desc#15, _pre_1#33, _pre_2#34, _pre_3#35]
Keys [4]: [i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11]
Functions [3]: [partial_sum(_pre_1#33), partial_sum(_pre_2#34), partial_sum(_pre_3#35)]
Aggregate Attributes [3]: [sum#36, sum#37, sum#38]
Results [7]: [i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11, sum#39, sum#40, sum#41]

(70) ProjectExecTransformer
Output [8]: [hash(i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11, 42) AS hash_partition_key#42, i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11, sum#39, sum#40, sum#41]
Input [7]: [i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11, sum#39, sum#40, sum#41]

(71) WholeStageCodegenTransformer (14)
Input [8]: [hash_partition_key#42, i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11, sum#39, sum#40, sum#41]
Arguments: false

(72) VeloxResizeBatches
Input [8]: [hash_partition_key#42, i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11, sum#39, sum#40, sum#41]
Arguments: 1024, 2147483647, 10485760

(73) ColumnarExchange
Input [8]: [hash_partition_key#42, i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11, sum#39, sum#40, sum#41]
Arguments: hashpartitioning(i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11, 1), ENSURE_REQUIREMENTS, [i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11, sum#39, sum#40, sum#41], [plan_id=8], [shuffle_writer_type=hash]

(74) InputAdapter
Input [7]: [i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11, sum#39, sum#40, sum#41]

(75) InputIteratorTransformer
Input [7]: [i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11, sum#39, sum#40, sum#41]

(76) RegularHashAggregateExecTransformer
Input [7]: [i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11, sum#39, sum#40, sum#41]
Keys [4]: [i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11]
Functions [3]: [sum(UnscaledValue(ss_net_profit#5)), sum(UnscaledValue(sr_net_loss#21)), sum(UnscaledValue(cs_net_profit#29))]
Aggregate Attributes [3]: [sum(UnscaledValue(ss_net_profit#5))#43, sum(UnscaledValue(sr_net_loss#21))#44, sum(UnscaledValue(cs_net_profit#29))#45]
Results [7]: [i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11, sum(UnscaledValue(ss_net_profit#5))#43, sum(UnscaledValue(sr_net_loss#21))#44, sum(UnscaledValue(cs_net_profit#29))#45]

(77) ProjectExecTransformer
Output [7]: [i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_profit#5))#43,17,2) AS store_sales_profit#46, MakeDecimal(sum(UnscaledValue(sr_net_loss#21))#44,17,2) AS store_returns_loss#47, MakeDecimal(sum(UnscaledValue(cs_net_profit#29))#45,17,2) AS catalog_sales_profit#48]
Input [7]: [i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11, sum(UnscaledValue(ss_net_profit#5))#43, sum(UnscaledValue(sr_net_loss#21))#44, sum(UnscaledValue(cs_net_profit#29))#45]

(78) WholeStageCodegenTransformer (15)
Input [7]: [i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11, store_sales_profit#46, store_returns_loss#47, catalog_sales_profit#48]
Arguments: false

(79) TakeOrderedAndProjectExecTransformer
Input [7]: [i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11, store_sales_profit#46, store_returns_loss#47, catalog_sales_profit#48]
Arguments: 100, [i_item_id#14 ASC NULLS FIRST, i_item_desc#15 ASC NULLS FIRST, s_store_id#10 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST], [i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11, store_sales_profit#46, store_returns_loss#47, catalog_sales_profit#48], 0

(80) VeloxColumnarToRow
Input [7]: [i_item_id#14, i_item_desc#15, s_store_id#10, s_store_name#11, store_sales_profit#46, store_returns_loss#47, catalog_sales_profit#48]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#6 IN dynamicpruning#7
ColumnarBroadcastExchange (85)
+- ^ ProjectExecTransformer (83)
   +- ^ FilterExecTransformer (82)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (81)


(81) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#8, d_year#49, d_moy#50]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,4), EqualTo(d_year,2001), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(82) FilterExecTransformer
Input [3]: [d_date_sk#8, d_year#49, d_moy#50]
Arguments: ((((isnotnull(d_moy#50) AND isnotnull(d_year#49)) AND (d_moy#50 = 4)) AND (d_year#49 = 2001)) AND isnotnull(d_date_sk#8))

(83) ProjectExecTransformer
Output [1]: [d_date_sk#8]
Input [3]: [d_date_sk#8, d_year#49, d_moy#50]

(84) WholeStageCodegenTransformer (1)
Input [1]: [d_date_sk#8]
Arguments: false

(85) ColumnarBroadcastExchange
Input [1]: [d_date_sk#8]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9]

Subquery:2 Hosting operator id = 36 Hosting Expression = sr_returned_date_sk#22 IN dynamicpruning#23
ColumnarBroadcastExchange (90)
+- ^ ProjectExecTransformer (88)
   +- ^ FilterExecTransformer (87)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (86)


(86) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#24, d_year#51, d_moy#52]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), GreaterThanOrEqual(d_moy,4), LessThanOrEqual(d_moy,10), EqualTo(d_year,2001), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(87) FilterExecTransformer
Input [3]: [d_date_sk#24, d_year#51, d_moy#52]
Arguments: (((((isnotnull(d_moy#52) AND isnotnull(d_year#51)) AND (d_moy#52 >= 4)) AND (d_moy#52 <= 10)) AND (d_year#51 = 2001)) AND isnotnull(d_date_sk#24))

(88) ProjectExecTransformer
Output [1]: [d_date_sk#24]
Input [3]: [d_date_sk#24, d_year#51, d_moy#52]

(89) WholeStageCodegenTransformer (7)
Input [1]: [d_date_sk#24]
Arguments: false

(90) ColumnarBroadcastExchange
Input [1]: [d_date_sk#24]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=10]

Subquery:3 Hosting operator id = 55 Hosting Expression = cs_sold_date_sk#30 IN dynamicpruning#23


