== Physical Plan ==
VeloxColumnarToRow (58)
+- TakeOrderedAndProjectExecTransformer (57)
   +- ^ ProjectExecTransformer (55)
      +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (54)
         :- ^ ProjectExecTransformer (50)
         :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (49)
         :     :- ^ ProjectExecTransformer (42)
         :     :  +- ^ RegularHashAggregateExecTransformer (41)
         :     :     +- ^ InputIteratorTransformer (40)
         :     :        +- ColumnarExchange (38)
         :     :           +- VeloxResizeBatches (37)
         :     :              +- ^ ProjectExecTransformer (35)
         :     :                 +- ^ FlushableHashAggregateExecTransformer (34)
         :     :                    +- ^ ProjectExecTransformer (33)
         :     :                       +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (32)
         :     :                          :- ^ ProjectExecTransformer (25)
         :     :                          :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (24)
         :     :                          :     :- ^ ProjectExecTransformer (16)
         :     :                          :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (15)
         :     :                          :     :     :- ^ ProjectExecTransformer (7)
         :     :                          :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (6)
         :     :                          :     :     :     :- ^ FilterExecTransformer (2)
         :     :                          :     :     :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store_sales (1)
         :     :                          :     :     :     +- ^ InputIteratorTransformer (5)
         :     :                          :     :     :        +- ReusedExchange (3)
         :     :                          :     :     +- ^ InputIteratorTransformer (14)
         :     :                          :     :        +- ColumnarBroadcastExchange (12)
         :     :                          :     :           +- ^ ProjectExecTransformer (10)
         :     :                          :     :              +- ^ FilterExecTransformer (9)
         :     :                          :     :                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store (8)
         :     :                          :     +- ^ InputIteratorTransformer (23)
         :     :                          :        +- ColumnarBroadcastExchange (21)
         :     :                          :           +- ^ ProjectExecTransformer (19)
         :     :                          :              +- ^ FilterExecTransformer (18)
         :     :                          :                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.household_demographics (17)
         :     :                          +- ^ InputIteratorTransformer (31)
         :     :                             +- ColumnarBroadcastExchange (29)
         :     :                                +- ^ FilterExecTransformer (27)
         :     :                                   +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (26)
         :     +- ^ InputIteratorTransformer (48)
         :        +- ColumnarBroadcastExchange (46)
         :           +- ^ FilterExecTransformer (44)
         :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer (43)
         +- ^ InputIteratorTransformer (53)
            +- ReusedExchange (51)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.store_sales
Output [8]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_coupon_amt#6, ss_net_profit#7, ss_sold_date_sk#8]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#8), dynamicpruningexpression(ss_sold_date_sk#8 IN dynamicpruning#9)]
PushedFilters: [IsNotNull(ss_store_sk), IsNotNull(ss_hdemo_sk), IsNotNull(ss_addr_sk), IsNotNull(ss_customer_sk)]
ReadSchema: struct<ss_customer_sk:int,ss_hdemo_sk:int,ss_addr_sk:int,ss_store_sk:int,ss_ticket_number:int,ss_coupon_amt:decimal(7,2),ss_net_profit:decimal(7,2)>

(2) FilterExecTransformer
Input [8]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_coupon_amt#6, ss_net_profit#7, ss_sold_date_sk#8]
Arguments: (((isnotnull(ss_store_sk#4) AND isnotnull(ss_hdemo_sk#2)) AND isnotnull(ss_addr_sk#3)) AND isnotnull(ss_customer_sk#1))

(3) ReusedExchange [Reuses operator id: 63]
Output [1]: [d_date_sk#10]

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

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

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

(7) ProjectExecTransformer
Output [7]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_coupon_amt#6, ss_net_profit#7]
Input [9]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_coupon_amt#6, ss_net_profit#7, ss_sold_date_sk#8, d_date_sk#10]

(8) FileSourceScanExecTransformer parquet spark_catalog.default.store
Output [2]: [s_store_sk#11, s_city#12]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/store]
PushedFilters: [In(s_city, [Fairview,Midway]), IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_city:string>

(9) FilterExecTransformer
Input [2]: [s_store_sk#11, s_city#12]
Arguments: (s_city#12 IN (Fairview,Midway) AND isnotnull(s_store_sk#11))

(10) ProjectExecTransformer
Output [1]: [s_store_sk#11]
Input [2]: [s_store_sk#11, s_city#12]

(11) WholeStageCodegenTransformer (3)
Input [1]: [s_store_sk#11]
Arguments: false

(12) ColumnarBroadcastExchange
Input [1]: [s_store_sk#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=1]

(13) InputAdapter
Input [1]: [s_store_sk#11]

(14) InputIteratorTransformer
Input [1]: [s_store_sk#11]

(15) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_store_sk#4]
Right keys [1]: [s_store_sk#11]
Join type: Inner
Join condition: None

(16) ProjectExecTransformer
Output [6]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_ticket_number#5, ss_coupon_amt#6, ss_net_profit#7]
Input [8]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_coupon_amt#6, ss_net_profit#7, s_store_sk#11]

(17) FileSourceScanExecTransformer parquet spark_catalog.default.household_demographics
Output [3]: [hd_demo_sk#13, hd_dep_count#14, hd_vehicle_count#15]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/household_demographics]
PushedFilters: [Or(EqualTo(hd_dep_count,4),EqualTo(hd_vehicle_count,3)), IsNotNull(hd_demo_sk)]
ReadSchema: struct<hd_demo_sk:int,hd_dep_count:int,hd_vehicle_count:int>

(18) FilterExecTransformer
Input [3]: [hd_demo_sk#13, hd_dep_count#14, hd_vehicle_count#15]
Arguments: (((hd_dep_count#14 = 4) OR (hd_vehicle_count#15 = 3)) AND isnotnull(hd_demo_sk#13))

(19) ProjectExecTransformer
Output [1]: [hd_demo_sk#13]
Input [3]: [hd_demo_sk#13, hd_dep_count#14, hd_vehicle_count#15]

(20) WholeStageCodegenTransformer (4)
Input [1]: [hd_demo_sk#13]
Arguments: false

(21) ColumnarBroadcastExchange
Input [1]: [hd_demo_sk#13]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]

(22) InputAdapter
Input [1]: [hd_demo_sk#13]

(23) InputIteratorTransformer
Input [1]: [hd_demo_sk#13]

(24) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_hdemo_sk#2]
Right keys [1]: [hd_demo_sk#13]
Join type: Inner
Join condition: None

(25) ProjectExecTransformer
Output [5]: [ss_customer_sk#1, ss_addr_sk#3, ss_ticket_number#5, ss_coupon_amt#6, ss_net_profit#7]
Input [7]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_ticket_number#5, ss_coupon_amt#6, ss_net_profit#7, hd_demo_sk#13]

(26) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#16, ca_city#17]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_address_sk), IsNotNull(ca_city)]
ReadSchema: struct<ca_address_sk:int,ca_city:string>

(27) FilterExecTransformer
Input [2]: [ca_address_sk#16, ca_city#17]
Arguments: (isnotnull(ca_address_sk#16) AND isnotnull(ca_city#17))

(28) WholeStageCodegenTransformer (5)
Input [2]: [ca_address_sk#16, ca_city#17]
Arguments: false

(29) ColumnarBroadcastExchange
Input [2]: [ca_address_sk#16, ca_city#17]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3]

(30) InputAdapter
Input [2]: [ca_address_sk#16, ca_city#17]

(31) InputIteratorTransformer
Input [2]: [ca_address_sk#16, ca_city#17]

(32) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_addr_sk#3]
Right keys [1]: [ca_address_sk#16]
Join type: Inner
Join condition: None

(33) ProjectExecTransformer
Output [6]: [ss_customer_sk#1, ss_addr_sk#3, ss_ticket_number#5, ca_city#17, UnscaledValue(ss_coupon_amt#6) AS _pre_1#18, UnscaledValue(ss_net_profit#7) AS _pre_2#19]
Input [7]: [ss_customer_sk#1, ss_addr_sk#3, ss_ticket_number#5, ss_coupon_amt#6, ss_net_profit#7, ca_address_sk#16, ca_city#17]

(34) FlushableHashAggregateExecTransformer
Input [6]: [ss_customer_sk#1, ss_addr_sk#3, ss_ticket_number#5, ca_city#17, _pre_1#18, _pre_2#19]
Keys [4]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17]
Functions [2]: [partial_sum(_pre_1#18), partial_sum(_pre_2#19)]
Aggregate Attributes [2]: [sum#20, sum#21]
Results [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum#22, sum#23]

(35) ProjectExecTransformer
Output [7]: [hash(ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, 42) AS hash_partition_key#24, ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum#22, sum#23]
Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum#22, sum#23]

(36) WholeStageCodegenTransformer (6)
Input [7]: [hash_partition_key#24, ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum#22, sum#23]
Arguments: false

(37) VeloxResizeBatches
Input [7]: [hash_partition_key#24, ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum#22, sum#23]
Arguments: 1024, 2147483647, 10485760

(38) ColumnarExchange
Input [7]: [hash_partition_key#24, ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum#22, sum#23]
Arguments: hashpartitioning(ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, 1), ENSURE_REQUIREMENTS, [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum#22, sum#23], [plan_id=4], [shuffle_writer_type=hash]

(39) InputAdapter
Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum#22, sum#23]

(40) InputIteratorTransformer
Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum#22, sum#23]

(41) RegularHashAggregateExecTransformer
Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum#22, sum#23]
Keys [4]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17]
Functions [2]: [sum(UnscaledValue(ss_coupon_amt#6)), sum(UnscaledValue(ss_net_profit#7))]
Aggregate Attributes [2]: [sum(UnscaledValue(ss_coupon_amt#6))#25, sum(UnscaledValue(ss_net_profit#7))#26]
Results [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum(UnscaledValue(ss_coupon_amt#6))#25, sum(UnscaledValue(ss_net_profit#7))#26]

(42) ProjectExecTransformer
Output [5]: [ss_ticket_number#5, ss_customer_sk#1, ca_city#17 AS bought_city#27, MakeDecimal(sum(UnscaledValue(ss_coupon_amt#6))#25,17,2) AS amt#28, MakeDecimal(sum(UnscaledValue(ss_net_profit#7))#26,17,2) AS profit#29]
Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum(UnscaledValue(ss_coupon_amt#6))#25, sum(UnscaledValue(ss_net_profit#7))#26]

(43) FileSourceScanExecTransformer parquet spark_catalog.default.customer
Output [4]: [c_customer_sk#30, c_current_addr_sk#31, c_first_name#32, c_last_name#33]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer]
PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk)]
ReadSchema: struct<c_customer_sk:int,c_current_addr_sk:int,c_first_name:string,c_last_name:string>

(44) FilterExecTransformer
Input [4]: [c_customer_sk#30, c_current_addr_sk#31, c_first_name#32, c_last_name#33]
Arguments: (isnotnull(c_customer_sk#30) AND isnotnull(c_current_addr_sk#31))

(45) WholeStageCodegenTransformer (7)
Input [4]: [c_customer_sk#30, c_current_addr_sk#31, c_first_name#32, c_last_name#33]
Arguments: false

(46) ColumnarBroadcastExchange
Input [4]: [c_customer_sk#30, c_current_addr_sk#31, c_first_name#32, c_last_name#33]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5]

(47) InputAdapter
Input [4]: [c_customer_sk#30, c_current_addr_sk#31, c_first_name#32, c_last_name#33]

(48) InputIteratorTransformer
Input [4]: [c_customer_sk#30, c_current_addr_sk#31, c_first_name#32, c_last_name#33]

(49) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_customer_sk#1]
Right keys [1]: [c_customer_sk#30]
Join type: Inner
Join condition: None

(50) ProjectExecTransformer
Output [7]: [ss_ticket_number#5, bought_city#27, amt#28, profit#29, c_current_addr_sk#31, c_first_name#32, c_last_name#33]
Input [9]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#27, amt#28, profit#29, c_customer_sk#30, c_current_addr_sk#31, c_first_name#32, c_last_name#33]

(51) ReusedExchange [Reuses operator id: 29]
Output [2]: [ca_address_sk#34, ca_city#35]

(52) InputAdapter
Input [2]: [ca_address_sk#34, ca_city#35]

(53) InputIteratorTransformer
Input [2]: [ca_address_sk#34, ca_city#35]

(54) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_addr_sk#31]
Right keys [1]: [ca_address_sk#34]
Join type: Inner
Join condition: NOT (ca_city#35 = bought_city#27)

(55) ProjectExecTransformer
Output [7]: [c_last_name#33, c_first_name#32, ca_city#35, bought_city#27, ss_ticket_number#5, amt#28, profit#29]
Input [9]: [ss_ticket_number#5, bought_city#27, amt#28, profit#29, c_current_addr_sk#31, c_first_name#32, c_last_name#33, ca_address_sk#34, ca_city#35]

(56) WholeStageCodegenTransformer (9)
Input [7]: [c_last_name#33, c_first_name#32, ca_city#35, bought_city#27, ss_ticket_number#5, amt#28, profit#29]
Arguments: false

(57) TakeOrderedAndProjectExecTransformer
Input [7]: [c_last_name#33, c_first_name#32, ca_city#35, bought_city#27, ss_ticket_number#5, amt#28, profit#29]
Arguments: 100, [c_last_name#33 ASC NULLS FIRST, c_first_name#32 ASC NULLS FIRST, ca_city#35 ASC NULLS FIRST, bought_city#27 ASC NULLS FIRST, ss_ticket_number#5 ASC NULLS FIRST], [c_last_name#33, c_first_name#32, ca_city#35, bought_city#27, ss_ticket_number#5, amt#28, profit#29], 0

(58) VeloxColumnarToRow
Input [7]: [c_last_name#33, c_first_name#32, ca_city#35, bought_city#27, ss_ticket_number#5, amt#28, profit#29]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9
ColumnarBroadcastExchange (63)
+- ^ ProjectExecTransformer (61)
   +- ^ FilterExecTransformer (60)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (59)


(59) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#10, d_year#36, d_dow#37]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [In(d_dow, [0,6]), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_dow:int>

(60) FilterExecTransformer
Input [3]: [d_date_sk#10, d_year#36, d_dow#37]
Arguments: ((d_dow#37 IN (6,0) AND d_year#36 IN (1999,2000,2001)) AND isnotnull(d_date_sk#10))

(61) ProjectExecTransformer
Output [1]: [d_date_sk#10]
Input [3]: [d_date_sk#10, d_year#36, d_dow#37]

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

(63) ColumnarBroadcastExchange
Input [1]: [d_date_sk#10]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6]


