== Physical Plan ==
VeloxColumnarToRow (50)
+- ^ SortExecTransformer (48)
   +- ^ InputIteratorTransformer (47)
      +- ColumnarExchange (45)
         +- VeloxResizeBatches (44)
            +- ^ ProjectExecTransformer (42)
               +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (41)
                  :- ^ FilterExecTransformer (34)
                  :  +- ^ RegularHashAggregateExecTransformer (33)
                  :     +- ^ InputIteratorTransformer (32)
                  :        +- ColumnarExchange (30)
                  :           +- VeloxResizeBatches (29)
                  :              +- ^ ProjectExecTransformer (27)
                  :                 +- ^ FlushableHashAggregateExecTransformer (26)
                  :                    +- ^ 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 (40)
                     +- ColumnarBroadcastExchange (38)
                        +- ^ FilterExecTransformer (36)
                           +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer (35)


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

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

(3) ReusedExchange [Reuses operator id: 55]
Output [1]: [d_date_sk#7]

(4) InputAdapter
Input [1]: [d_date_sk#7]

(5) InputIteratorTransformer
Input [1]: [d_date_sk#7]

(6) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_sold_date_sk#5]
Right keys [1]: [d_date_sk#7]
Join type: Inner
Join condition: None

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

(8) FileSourceScanExecTransformer parquet spark_catalog.default.store
Output [2]: [s_store_sk#8, s_county#9]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_county), EqualTo(s_county,Williamson County), IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_county:string>

(9) FilterExecTransformer
Input [2]: [s_store_sk#8, s_county#9]
Arguments: ((isnotnull(s_county#9) AND (s_county#9 = Williamson County)) AND isnotnull(s_store_sk#8))

(10) ProjectExecTransformer
Output [1]: [s_store_sk#8]
Input [2]: [s_store_sk#8, s_county#9]

(11) WholeStageCodegenTransformer (3)
Input [1]: [s_store_sk#8]
Arguments: false

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

(13) InputAdapter
Input [1]: [s_store_sk#8]

(14) InputIteratorTransformer
Input [1]: [s_store_sk#8]

(15) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_store_sk#3]
Right keys [1]: [s_store_sk#8]
Join type: Inner
Join condition: None

(16) ProjectExecTransformer
Output [3]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_ticket_number#4]
Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4, s_store_sk#8]

(17) FileSourceScanExecTransformer parquet spark_catalog.default.household_demographics
Output [4]: [hd_demo_sk#10, hd_buy_potential#11, hd_dep_count#12, hd_vehicle_count#13]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/household_demographics]
PushedFilters: [IsNotNull(hd_vehicle_count), Or(EqualTo(hd_buy_potential,>10000         ),EqualTo(hd_buy_potential,unknown        )), GreaterThan(hd_vehicle_count,0), IsNotNull(hd_demo_sk)]
ReadSchema: struct<hd_demo_sk:int,hd_buy_potential:string,hd_dep_count:int,hd_vehicle_count:int>

(18) FilterExecTransformer
Input [4]: [hd_demo_sk#10, hd_buy_potential#11, hd_dep_count#12, hd_vehicle_count#13]
Arguments: ((((isnotnull(hd_vehicle_count#13) AND ((hd_buy_potential#11 = >10000         ) OR (hd_buy_potential#11 = unknown        ))) AND (hd_vehicle_count#13 > 0)) AND CASE WHEN (hd_vehicle_count#13 > 0) THEN ((cast(hd_dep_count#12 as double) / cast(hd_vehicle_count#13 as double)) > 1.2) END) AND isnotnull(hd_demo_sk#10))

(19) ProjectExecTransformer
Output [1]: [hd_demo_sk#10]
Input [4]: [hd_demo_sk#10, hd_buy_potential#11, hd_dep_count#12, hd_vehicle_count#13]

(20) WholeStageCodegenTransformer (4)
Input [1]: [hd_demo_sk#10]
Arguments: false

(21) ColumnarBroadcastExchange
Input [1]: [hd_demo_sk#10]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]

(22) InputAdapter
Input [1]: [hd_demo_sk#10]

(23) InputIteratorTransformer
Input [1]: [hd_demo_sk#10]

(24) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_hdemo_sk#2]
Right keys [1]: [hd_demo_sk#10]
Join type: Inner
Join condition: None

(25) ProjectExecTransformer
Output [2]: [ss_customer_sk#1, ss_ticket_number#4]
Input [4]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_ticket_number#4, hd_demo_sk#10]

(26) FlushableHashAggregateExecTransformer
Input [2]: [ss_customer_sk#1, ss_ticket_number#4]
Keys [2]: [ss_ticket_number#4, ss_customer_sk#1]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#14]
Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15]

(27) ProjectExecTransformer
Output [4]: [hash(ss_ticket_number#4, ss_customer_sk#1, 42) AS hash_partition_key#16, ss_ticket_number#4, ss_customer_sk#1, count#15]
Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15]

(28) WholeStageCodegenTransformer (5)
Input [4]: [hash_partition_key#16, ss_ticket_number#4, ss_customer_sk#1, count#15]
Arguments: false

(29) VeloxResizeBatches
Input [4]: [hash_partition_key#16, ss_ticket_number#4, ss_customer_sk#1, count#15]
Arguments: 1024, 2147483647, 10485760

(30) ColumnarExchange
Input [4]: [hash_partition_key#16, ss_ticket_number#4, ss_customer_sk#1, count#15]
Arguments: hashpartitioning(ss_ticket_number#4, ss_customer_sk#1, 1), ENSURE_REQUIREMENTS, [ss_ticket_number#4, ss_customer_sk#1, count#15], [plan_id=3], [shuffle_writer_type=hash]

(31) InputAdapter
Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15]

(32) InputIteratorTransformer
Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15]

(33) RegularHashAggregateExecTransformer
Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15]
Keys [2]: [ss_ticket_number#4, ss_customer_sk#1]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#17]
Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count(1)#17 AS cnt#18]

(34) FilterExecTransformer
Input [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#18]
Arguments: ((cnt#18 >= 15) AND (cnt#18 <= 20))

(35) FileSourceScanExecTransformer parquet spark_catalog.default.customer
Output [5]: [c_customer_sk#19, c_salutation#20, c_first_name#21, c_last_name#22, c_preferred_cust_flag#23]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer]
PushedFilters: [IsNotNull(c_customer_sk)]
ReadSchema: struct<c_customer_sk:int,c_salutation:string,c_first_name:string,c_last_name:string,c_preferred_cust_flag:string>

(36) FilterExecTransformer
Input [5]: [c_customer_sk#19, c_salutation#20, c_first_name#21, c_last_name#22, c_preferred_cust_flag#23]
Arguments: isnotnull(c_customer_sk#19)

(37) WholeStageCodegenTransformer (6)
Input [5]: [c_customer_sk#19, c_salutation#20, c_first_name#21, c_last_name#22, c_preferred_cust_flag#23]
Arguments: false

(38) ColumnarBroadcastExchange
Input [5]: [c_customer_sk#19, c_salutation#20, c_first_name#21, c_last_name#22, c_preferred_cust_flag#23]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=4]

(39) InputAdapter
Input [5]: [c_customer_sk#19, c_salutation#20, c_first_name#21, c_last_name#22, c_preferred_cust_flag#23]

(40) InputIteratorTransformer
Input [5]: [c_customer_sk#19, c_salutation#20, c_first_name#21, c_last_name#22, c_preferred_cust_flag#23]

(41) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_customer_sk#1]
Right keys [1]: [c_customer_sk#19]
Join type: Inner
Join condition: None

(42) ProjectExecTransformer
Output [6]: [c_last_name#22, c_first_name#21, c_salutation#20, c_preferred_cust_flag#23, ss_ticket_number#4, cnt#18]
Input [8]: [ss_ticket_number#4, ss_customer_sk#1, cnt#18, c_customer_sk#19, c_salutation#20, c_first_name#21, c_last_name#22, c_preferred_cust_flag#23]

(43) WholeStageCodegenTransformer (7)
Input [6]: [c_last_name#22, c_first_name#21, c_salutation#20, c_preferred_cust_flag#23, ss_ticket_number#4, cnt#18]
Arguments: false

(44) VeloxResizeBatches
Input [6]: [c_last_name#22, c_first_name#21, c_salutation#20, c_preferred_cust_flag#23, ss_ticket_number#4, cnt#18]
Arguments: 1024, 2147483647, 10485760

(45) ColumnarExchange
Input [6]: [c_last_name#22, c_first_name#21, c_salutation#20, c_preferred_cust_flag#23, ss_ticket_number#4, cnt#18]
Arguments: rangepartitioning(c_last_name#22 ASC NULLS FIRST, c_first_name#21 ASC NULLS FIRST, c_salutation#20 ASC NULLS FIRST, c_preferred_cust_flag#23 DESC NULLS LAST, 1), ENSURE_REQUIREMENTS, [plan_id=5], [shuffle_writer_type=hash]

(46) InputAdapter
Input [6]: [c_last_name#22, c_first_name#21, c_salutation#20, c_preferred_cust_flag#23, ss_ticket_number#4, cnt#18]

(47) InputIteratorTransformer
Input [6]: [c_last_name#22, c_first_name#21, c_salutation#20, c_preferred_cust_flag#23, ss_ticket_number#4, cnt#18]

(48) SortExecTransformer
Input [6]: [c_last_name#22, c_first_name#21, c_salutation#20, c_preferred_cust_flag#23, ss_ticket_number#4, cnt#18]
Arguments: [c_last_name#22 ASC NULLS FIRST, c_first_name#21 ASC NULLS FIRST, c_salutation#20 ASC NULLS FIRST, c_preferred_cust_flag#23 DESC NULLS LAST], true, 0

(49) WholeStageCodegenTransformer (8)
Input [6]: [c_last_name#22, c_first_name#21, c_salutation#20, c_preferred_cust_flag#23, ss_ticket_number#4, cnt#18]
Arguments: false

(50) VeloxColumnarToRow
Input [6]: [c_last_name#22, c_first_name#21, c_salutation#20, c_preferred_cust_flag#23, ss_ticket_number#4, cnt#18]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6
ColumnarBroadcastExchange (55)
+- ^ ProjectExecTransformer (53)
   +- ^ FilterExecTransformer (52)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (51)


(51) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#7, d_year#24, d_dom#25]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [Or(And(GreaterThanOrEqual(d_dom,1),LessThanOrEqual(d_dom,3)),And(GreaterThanOrEqual(d_dom,25),LessThanOrEqual(d_dom,28))), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_dom:int>

(52) FilterExecTransformer
Input [3]: [d_date_sk#7, d_year#24, d_dom#25]
Arguments: (((((d_dom#25 >= 1) AND (d_dom#25 <= 3)) OR ((d_dom#25 >= 25) AND (d_dom#25 <= 28))) AND d_year#24 IN (1999,2000,2001)) AND isnotnull(d_date_sk#7))

(53) ProjectExecTransformer
Output [1]: [d_date_sk#7]
Input [3]: [d_date_sk#7, d_year#24, d_dom#25]

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

(55) ColumnarBroadcastExchange
Input [1]: [d_date_sk#7]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6]


