== 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 [9]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_ext_sales_price#6, ss_ext_list_price#7, ss_ext_tax#8, ss_sold_date_sk#9]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#9), dynamicpruningexpression(ss_sold_date_sk#9 IN dynamicpruning#10)]
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_ext_sales_price:decimal(7,2),ss_ext_list_price:decimal(7,2),ss_ext_tax:decimal(7,2)>

(2) FilterExecTransformer
Input [9]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_ext_sales_price#6, ss_ext_list_price#7, ss_ext_tax#8, ss_sold_date_sk#9]
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#11]

(4) InputAdapter
Input [1]: [d_date_sk#11]

(5) InputIteratorTransformer
Input [1]: [d_date_sk#11]

(6) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_sold_date_sk#9]
Right keys [1]: [d_date_sk#11]
Join type: Inner
Join condition: None

(7) ProjectExecTransformer
Output [8]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_ext_sales_price#6, ss_ext_list_price#7, ss_ext_tax#8]
Input [10]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_ext_sales_price#6, ss_ext_list_price#7, ss_ext_tax#8, ss_sold_date_sk#9, d_date_sk#11]

(8) FileSourceScanExecTransformer parquet spark_catalog.default.store
Output [2]: [s_store_sk#12, s_city#13]
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#12, s_city#13]
Arguments: (s_city#13 IN (Midway,Fairview) AND isnotnull(s_store_sk#12))

(10) ProjectExecTransformer
Output [1]: [s_store_sk#12]
Input [2]: [s_store_sk#12, s_city#13]

(11) WholeStageCodegenTransformer (3)
Input [1]: [s_store_sk#12]
Arguments: false

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

(13) InputAdapter
Input [1]: [s_store_sk#12]

(14) InputIteratorTransformer
Input [1]: [s_store_sk#12]

(15) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_store_sk#4]
Right keys [1]: [s_store_sk#12]
Join type: Inner
Join condition: None

(16) ProjectExecTransformer
Output [7]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_ticket_number#5, ss_ext_sales_price#6, ss_ext_list_price#7, ss_ext_tax#8]
Input [9]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_ext_sales_price#6, ss_ext_list_price#7, ss_ext_tax#8, s_store_sk#12]

(17) FileSourceScanExecTransformer parquet spark_catalog.default.household_demographics
Output [3]: [hd_demo_sk#14, hd_dep_count#15, hd_vehicle_count#16]
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#14, hd_dep_count#15, hd_vehicle_count#16]
Arguments: (((hd_dep_count#15 = 4) OR (hd_vehicle_count#16 = 3)) AND isnotnull(hd_demo_sk#14))

(19) ProjectExecTransformer
Output [1]: [hd_demo_sk#14]
Input [3]: [hd_demo_sk#14, hd_dep_count#15, hd_vehicle_count#16]

(20) WholeStageCodegenTransformer (4)
Input [1]: [hd_demo_sk#14]
Arguments: false

(21) ColumnarBroadcastExchange
Input [1]: [hd_demo_sk#14]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]

(22) InputAdapter
Input [1]: [hd_demo_sk#14]

(23) InputIteratorTransformer
Input [1]: [hd_demo_sk#14]

(24) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_hdemo_sk#2]
Right keys [1]: [hd_demo_sk#14]
Join type: Inner
Join condition: None

(25) ProjectExecTransformer
Output [6]: [ss_customer_sk#1, ss_addr_sk#3, ss_ticket_number#5, ss_ext_sales_price#6, ss_ext_list_price#7, ss_ext_tax#8]
Input [8]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_ticket_number#5, ss_ext_sales_price#6, ss_ext_list_price#7, ss_ext_tax#8, hd_demo_sk#14]

(26) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#17, ca_city#18]
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#17, ca_city#18]
Arguments: (isnotnull(ca_address_sk#17) AND isnotnull(ca_city#18))

(28) WholeStageCodegenTransformer (5)
Input [2]: [ca_address_sk#17, ca_city#18]
Arguments: false

(29) ColumnarBroadcastExchange
Input [2]: [ca_address_sk#17, ca_city#18]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3]

(30) InputAdapter
Input [2]: [ca_address_sk#17, ca_city#18]

(31) InputIteratorTransformer
Input [2]: [ca_address_sk#17, ca_city#18]

(32) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_addr_sk#3]
Right keys [1]: [ca_address_sk#17]
Join type: Inner
Join condition: None

(33) ProjectExecTransformer
Output [7]: [ss_customer_sk#1, ss_addr_sk#3, ss_ticket_number#5, ca_city#18, UnscaledValue(ss_ext_sales_price#6) AS _pre_1#19, UnscaledValue(ss_ext_list_price#7) AS _pre_2#20, UnscaledValue(ss_ext_tax#8) AS _pre_3#21]
Input [8]: [ss_customer_sk#1, ss_addr_sk#3, ss_ticket_number#5, ss_ext_sales_price#6, ss_ext_list_price#7, ss_ext_tax#8, ca_address_sk#17, ca_city#18]

(34) FlushableHashAggregateExecTransformer
Input [7]: [ss_customer_sk#1, ss_addr_sk#3, ss_ticket_number#5, ca_city#18, _pre_1#19, _pre_2#20, _pre_3#21]
Keys [4]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18]
Functions [3]: [partial_sum(_pre_1#19), partial_sum(_pre_2#20), partial_sum(_pre_3#21)]
Aggregate Attributes [3]: [sum#22, sum#23, sum#24]
Results [7]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum#25, sum#26, sum#27]

(35) ProjectExecTransformer
Output [8]: [hash(ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, 42) AS hash_partition_key#28, ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum#25, sum#26, sum#27]
Input [7]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum#25, sum#26, sum#27]

(36) WholeStageCodegenTransformer (6)
Input [8]: [hash_partition_key#28, ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum#25, sum#26, sum#27]
Arguments: false

(37) VeloxResizeBatches
Input [8]: [hash_partition_key#28, ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum#25, sum#26, sum#27]
Arguments: 1024, 2147483647, 10485760

(38) ColumnarExchange
Input [8]: [hash_partition_key#28, ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum#25, sum#26, sum#27]
Arguments: hashpartitioning(ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, 1), ENSURE_REQUIREMENTS, [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum#25, sum#26, sum#27], [plan_id=4], [shuffle_writer_type=hash]

(39) InputAdapter
Input [7]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum#25, sum#26, sum#27]

(40) InputIteratorTransformer
Input [7]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum#25, sum#26, sum#27]

(41) RegularHashAggregateExecTransformer
Input [7]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum#25, sum#26, sum#27]
Keys [4]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18]
Functions [3]: [sum(UnscaledValue(ss_ext_sales_price#6)), sum(UnscaledValue(ss_ext_list_price#7)), sum(UnscaledValue(ss_ext_tax#8))]
Aggregate Attributes [3]: [sum(UnscaledValue(ss_ext_sales_price#6))#29, sum(UnscaledValue(ss_ext_list_price#7))#30, sum(UnscaledValue(ss_ext_tax#8))#31]
Results [7]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum(UnscaledValue(ss_ext_sales_price#6))#29, sum(UnscaledValue(ss_ext_list_price#7))#30, sum(UnscaledValue(ss_ext_tax#8))#31]

(42) ProjectExecTransformer
Output [6]: [ss_ticket_number#5, ss_customer_sk#1, ca_city#18 AS bought_city#32, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#6))#29,17,2) AS extended_price#33, MakeDecimal(sum(UnscaledValue(ss_ext_list_price#7))#30,17,2) AS list_price#34, MakeDecimal(sum(UnscaledValue(ss_ext_tax#8))#31,17,2) AS extended_tax#35]
Input [7]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum(UnscaledValue(ss_ext_sales_price#6))#29, sum(UnscaledValue(ss_ext_list_price#7))#30, sum(UnscaledValue(ss_ext_tax#8))#31]

(43) FileSourceScanExecTransformer parquet spark_catalog.default.customer
Output [4]: [c_customer_sk#36, c_current_addr_sk#37, c_first_name#38, c_last_name#39]
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#36, c_current_addr_sk#37, c_first_name#38, c_last_name#39]
Arguments: (isnotnull(c_customer_sk#36) AND isnotnull(c_current_addr_sk#37))

(45) WholeStageCodegenTransformer (7)
Input [4]: [c_customer_sk#36, c_current_addr_sk#37, c_first_name#38, c_last_name#39]
Arguments: false

(46) ColumnarBroadcastExchange
Input [4]: [c_customer_sk#36, c_current_addr_sk#37, c_first_name#38, c_last_name#39]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5]

(47) InputAdapter
Input [4]: [c_customer_sk#36, c_current_addr_sk#37, c_first_name#38, c_last_name#39]

(48) InputIteratorTransformer
Input [4]: [c_customer_sk#36, c_current_addr_sk#37, c_first_name#38, c_last_name#39]

(49) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_customer_sk#1]
Right keys [1]: [c_customer_sk#36]
Join type: Inner
Join condition: None

(50) ProjectExecTransformer
Output [8]: [ss_ticket_number#5, bought_city#32, extended_price#33, list_price#34, extended_tax#35, c_current_addr_sk#37, c_first_name#38, c_last_name#39]
Input [10]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#32, extended_price#33, list_price#34, extended_tax#35, c_customer_sk#36, c_current_addr_sk#37, c_first_name#38, c_last_name#39]

(51) ReusedExchange [Reuses operator id: 29]
Output [2]: [ca_address_sk#40, ca_city#41]

(52) InputAdapter
Input [2]: [ca_address_sk#40, ca_city#41]

(53) InputIteratorTransformer
Input [2]: [ca_address_sk#40, ca_city#41]

(54) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_addr_sk#37]
Right keys [1]: [ca_address_sk#40]
Join type: Inner
Join condition: NOT (ca_city#41 = bought_city#32)

(55) ProjectExecTransformer
Output [8]: [c_last_name#39, c_first_name#38, ca_city#41, bought_city#32, ss_ticket_number#5, extended_price#33, extended_tax#35, list_price#34]
Input [10]: [ss_ticket_number#5, bought_city#32, extended_price#33, list_price#34, extended_tax#35, c_current_addr_sk#37, c_first_name#38, c_last_name#39, ca_address_sk#40, ca_city#41]

(56) WholeStageCodegenTransformer (9)
Input [8]: [c_last_name#39, c_first_name#38, ca_city#41, bought_city#32, ss_ticket_number#5, extended_price#33, extended_tax#35, list_price#34]
Arguments: false

(57) TakeOrderedAndProjectExecTransformer
Input [8]: [c_last_name#39, c_first_name#38, ca_city#41, bought_city#32, ss_ticket_number#5, extended_price#33, extended_tax#35, list_price#34]
Arguments: 100, [c_last_name#39 ASC NULLS FIRST, ss_ticket_number#5 ASC NULLS FIRST], [c_last_name#39, c_first_name#38, ca_city#41, bought_city#32, ss_ticket_number#5, extended_price#33, extended_tax#35, list_price#34], 0

(58) VeloxColumnarToRow
Input [8]: [c_last_name#39, c_first_name#38, ca_city#41, bought_city#32, ss_ticket_number#5, extended_price#33, extended_tax#35, list_price#34]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#9 IN dynamicpruning#10
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#11, d_year#42, d_dom#43]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_dom), GreaterThanOrEqual(d_dom,1), LessThanOrEqual(d_dom,2), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_dom:int>

(60) FilterExecTransformer
Input [3]: [d_date_sk#11, d_year#42, d_dom#43]
Arguments: ((((isnotnull(d_dom#43) AND (d_dom#43 >= 1)) AND (d_dom#43 <= 2)) AND d_year#42 IN (1999,2000,2001)) AND isnotnull(d_date_sk#11))

(61) ProjectExecTransformer
Output [1]: [d_date_sk#11]
Input [3]: [d_date_sk#11, d_year#42, d_dom#43]

(62) WholeStageCodegenTransformer (1)
Input [1]: [d_date_sk#11]
Arguments: false

(63) ColumnarBroadcastExchange
Input [1]: [d_date_sk#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6]


