== Physical Plan ==
VeloxColumnarToRow (65)
+- TakeOrderedAndProjectExecTransformer (64)
   +- ^ ProjectExecTransformer (62)
      +- ^ RegularHashAggregateExecTransformer (61)
         +- ^ InputIteratorTransformer (60)
            +- ColumnarExchange (58)
               +- VeloxResizeBatches (57)
                  +- ^ ProjectExecTransformer (55)
                     +- ^ FlushableHashAggregateExecTransformer (54)
                        +- ^ ProjectExecTransformer (53)
                           +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (52)
                              :- ^ ProjectExecTransformer (45)
                              :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (44)
                              :     :- ^ ProjectExecTransformer (36)
                              :     :  +- ^ BroadcastHashJoinExecTransformer LeftSemi BuildRight (35)
                              :     :     :- ^ BroadcastHashJoinExecTransformer LeftSemi BuildRight (23)
                              :     :     :  :- ^ FilterExecTransformer (2)
                              :     :     :  :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer (1)
                              :     :     :  +- ^ InputIteratorTransformer (22)
                              :     :     :     +- ColumnarBroadcastExchange (20)
                              :     :     :        +- ColumnarUnion (19)
                              :     :     :           :- ^ ProjectExecTransformer (9)
                              :     :     :           :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (8)
                              :     :     :           :     :- ^ FilterExecTransformer (4)
                              :     :     :           :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.web_sales (3)
                              :     :     :           :     +- ^ InputIteratorTransformer (7)
                              :     :     :           :        +- ReusedExchange (5)
                              :     :     :           +- ^ ProjectExecTransformer (17)
                              :     :     :              +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (16)
                              :     :     :                 :- ^ FilterExecTransformer (12)
                              :     :     :                 :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales (11)
                              :     :     :                 +- ^ InputIteratorTransformer (15)
                              :     :     :                    +- ReusedExchange (13)
                              :     :     +- ^ InputIteratorTransformer (34)
                              :     :        +- ColumnarBroadcastExchange (32)
                              :     :           +- ^ ProjectExecTransformer (30)
                              :     :              +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (29)
                              :     :                 :- ^ FilterExecTransformer (25)
                              :     :                 :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store_sales (24)
                              :     :                 +- ^ InputIteratorTransformer (28)
                              :     :                    +- ReusedExchange (26)
                              :     +- ^ InputIteratorTransformer (43)
                              :        +- ColumnarBroadcastExchange (41)
                              :           +- ^ ProjectExecTransformer (39)
                              :              +- ^ FilterExecTransformer (38)
                              :                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (37)
                              +- ^ InputIteratorTransformer (51)
                                 +- ColumnarBroadcastExchange (49)
                                    +- ^ FilterExecTransformer (47)
                                       +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_demographics (46)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.customer
Output [3]: [c_customer_sk#1, c_current_cdemo_sk#2, c_current_addr_sk#3]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer]
PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk), IsNotNull(c_current_cdemo_sk)]
ReadSchema: struct<c_customer_sk:int,c_current_cdemo_sk:int,c_current_addr_sk:int>

(2) FilterExecTransformer
Input [3]: [c_customer_sk#1, c_current_cdemo_sk#2, c_current_addr_sk#3]
Arguments: ((isnotnull(c_customer_sk#1) AND isnotnull(c_current_addr_sk#3)) AND isnotnull(c_current_cdemo_sk#2))

(3) FileSourceScanExecTransformer parquet spark_catalog.default.web_sales
Output [2]: [ws_bill_customer_sk#4, ws_sold_date_sk#5]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#5), dynamicpruningexpression(ws_sold_date_sk#5 IN dynamicpruning#6)]
PushedFilters: [IsNotNull(ws_bill_customer_sk)]
ReadSchema: struct<ws_bill_customer_sk:int>

(4) FilterExecTransformer
Input [2]: [ws_bill_customer_sk#4, ws_sold_date_sk#5]
Arguments: isnotnull(ws_bill_customer_sk#4)

(5) ReusedExchange [Reuses operator id: 70]
Output [1]: [d_date_sk#7]

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

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

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

(9) ProjectExecTransformer
Output [1]: [ws_bill_customer_sk#4 AS customer_sk#8]
Input [3]: [ws_bill_customer_sk#4, ws_sold_date_sk#5, d_date_sk#7]

(10) WholeStageCodegenTransformer (3)
Input [1]: [customer_sk#8]
Arguments: false

(11) FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales
Output [2]: [cs_ship_customer_sk#9, cs_sold_date_sk#10]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#10), dynamicpruningexpression(cs_sold_date_sk#10 IN dynamicpruning#6)]
PushedFilters: [IsNotNull(cs_ship_customer_sk)]
ReadSchema: struct<cs_ship_customer_sk:int>

(12) FilterExecTransformer
Input [2]: [cs_ship_customer_sk#9, cs_sold_date_sk#10]
Arguments: isnotnull(cs_ship_customer_sk#9)

(13) ReusedExchange [Reuses operator id: 70]
Output [1]: [d_date_sk#11]

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

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

(16) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_sold_date_sk#10]
Right keys [1]: [d_date_sk#11]
Join type: Inner
Join condition: None

(17) ProjectExecTransformer
Output [1]: [cs_ship_customer_sk#9 AS customer_sk#12]
Input [3]: [cs_ship_customer_sk#9, cs_sold_date_sk#10, d_date_sk#11]

(18) WholeStageCodegenTransformer (6)
Input [1]: [customer_sk#12]
Arguments: false

(19) ColumnarUnion
Arguments: UnknownPartitioning(0)

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

(21) InputAdapter
Input [1]: [customer_sk#8]

(22) InputIteratorTransformer
Input [1]: [customer_sk#8]

(23) BroadcastHashJoinExecTransformer
Left keys [1]: [c_customer_sk#1]
Right keys [1]: [customer_sk#8]
Join type: LeftSemi
Join condition: None

(24) FileSourceScanExecTransformer parquet spark_catalog.default.store_sales
Output [2]: [ss_customer_sk#13, ss_sold_date_sk#14]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#14), dynamicpruningexpression(ss_sold_date_sk#14 IN dynamicpruning#6)]
PushedFilters: [IsNotNull(ss_customer_sk)]
ReadSchema: struct<ss_customer_sk:int>

(25) FilterExecTransformer
Input [2]: [ss_customer_sk#13, ss_sold_date_sk#14]
Arguments: isnotnull(ss_customer_sk#13)

(26) ReusedExchange [Reuses operator id: 70]
Output [1]: [d_date_sk#15]

(27) InputAdapter
Input [1]: [d_date_sk#15]

(28) InputIteratorTransformer
Input [1]: [d_date_sk#15]

(29) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_sold_date_sk#14]
Right keys [1]: [d_date_sk#15]
Join type: Inner
Join condition: None

(30) ProjectExecTransformer
Output [1]: [ss_customer_sk#13 AS customer_sk#16]
Input [3]: [ss_customer_sk#13, ss_sold_date_sk#14, d_date_sk#15]

(31) WholeStageCodegenTransformer (9)
Input [1]: [customer_sk#16]
Arguments: false

(32) ColumnarBroadcastExchange
Input [1]: [customer_sk#16]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]

(33) InputAdapter
Input [1]: [customer_sk#16]

(34) InputIteratorTransformer
Input [1]: [customer_sk#16]

(35) BroadcastHashJoinExecTransformer
Left keys [1]: [c_customer_sk#1]
Right keys [1]: [customer_sk#16]
Join type: LeftSemi
Join condition: None

(36) ProjectExecTransformer
Output [2]: [c_current_cdemo_sk#2, c_current_addr_sk#3]
Input [3]: [c_customer_sk#1, c_current_cdemo_sk#2, c_current_addr_sk#3]

(37) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#17, ca_county#18]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer_address]
PushedFilters: [In(ca_county, [Dona Ana County,Douglas County,Gaines County,Richland County,Walker County]), IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_county:string>

(38) FilterExecTransformer
Input [2]: [ca_address_sk#17, ca_county#18]
Arguments: (ca_county#18 IN (Walker County,Richland County,Gaines County,Douglas County,Dona Ana County) AND isnotnull(ca_address_sk#17))

(39) ProjectExecTransformer
Output [1]: [ca_address_sk#17]
Input [2]: [ca_address_sk#17, ca_county#18]

(40) WholeStageCodegenTransformer (10)
Input [1]: [ca_address_sk#17]
Arguments: false

(41) ColumnarBroadcastExchange
Input [1]: [ca_address_sk#17]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]

(42) InputAdapter
Input [1]: [ca_address_sk#17]

(43) InputIteratorTransformer
Input [1]: [ca_address_sk#17]

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

(45) ProjectExecTransformer
Output [1]: [c_current_cdemo_sk#2]
Input [3]: [c_current_cdemo_sk#2, c_current_addr_sk#3, ca_address_sk#17]

(46) FileSourceScanExecTransformer parquet spark_catalog.default.customer_demographics
Output [9]: [cd_demo_sk#19, cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer_demographics]
PushedFilters: [IsNotNull(cd_demo_sk)]
ReadSchema: struct<cd_demo_sk:int,cd_gender:string,cd_marital_status:string,cd_education_status:string,cd_purchase_estimate:int,cd_credit_rating:string,cd_dep_count:int,cd_dep_employed_count:int,cd_dep_college_count:int>

(47) FilterExecTransformer
Input [9]: [cd_demo_sk#19, cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]
Arguments: isnotnull(cd_demo_sk#19)

(48) WholeStageCodegenTransformer (11)
Input [9]: [cd_demo_sk#19, cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]
Arguments: false

(49) ColumnarBroadcastExchange
Input [9]: [cd_demo_sk#19, cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=4]

(50) InputAdapter
Input [9]: [cd_demo_sk#19, cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]

(51) InputIteratorTransformer
Input [9]: [cd_demo_sk#19, cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]

(52) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_cdemo_sk#2]
Right keys [1]: [cd_demo_sk#19]
Join type: Inner
Join condition: None

(53) ProjectExecTransformer
Output [8]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]
Input [10]: [c_current_cdemo_sk#2, cd_demo_sk#19, cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]

(54) FlushableHashAggregateExecTransformer
Input [8]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]
Keys [8]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#28]
Results [9]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27, count#29]

(55) ProjectExecTransformer
Output [10]: [hash(cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27, 42) AS hash_partition_key#30, cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27, count#29]
Input [9]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27, count#29]

(56) WholeStageCodegenTransformer (12)
Input [10]: [hash_partition_key#30, cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27, count#29]
Arguments: false

(57) VeloxResizeBatches
Input [10]: [hash_partition_key#30, cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27, count#29]
Arguments: 1024, 2147483647, 10485760

(58) ColumnarExchange
Input [10]: [hash_partition_key#30, cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27, count#29]
Arguments: hashpartitioning(cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27, 1), ENSURE_REQUIREMENTS, [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27, count#29], [plan_id=5], [shuffle_writer_type=hash]

(59) InputAdapter
Input [9]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27, count#29]

(60) InputIteratorTransformer
Input [9]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27, count#29]

(61) RegularHashAggregateExecTransformer
Input [9]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27, count#29]
Keys [8]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#31]
Results [9]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27, count(1)#31]

(62) ProjectExecTransformer
Output [14]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, count(1)#31 AS cnt1#32, cd_purchase_estimate#23, count(1)#31 AS cnt2#33, cd_credit_rating#24, count(1)#31 AS cnt3#34, cd_dep_count#25, count(1)#31 AS cnt4#35, cd_dep_employed_count#26, count(1)#31 AS cnt5#36, cd_dep_college_count#27, count(1)#31 AS cnt6#37]
Input [9]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#23, cd_credit_rating#24, cd_dep_count#25, cd_dep_employed_count#26, cd_dep_college_count#27, count(1)#31]

(63) WholeStageCodegenTransformer (13)
Input [14]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cnt1#32, cd_purchase_estimate#23, cnt2#33, cd_credit_rating#24, cnt3#34, cd_dep_count#25, cnt4#35, cd_dep_employed_count#26, cnt5#36, cd_dep_college_count#27, cnt6#37]
Arguments: false

(64) TakeOrderedAndProjectExecTransformer
Input [14]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cnt1#32, cd_purchase_estimate#23, cnt2#33, cd_credit_rating#24, cnt3#34, cd_dep_count#25, cnt4#35, cd_dep_employed_count#26, cnt5#36, cd_dep_college_count#27, cnt6#37]
Arguments: 100, [cd_gender#20 ASC NULLS FIRST, cd_marital_status#21 ASC NULLS FIRST, cd_education_status#22 ASC NULLS FIRST, cd_purchase_estimate#23 ASC NULLS FIRST, cd_credit_rating#24 ASC NULLS FIRST, cd_dep_count#25 ASC NULLS FIRST, cd_dep_employed_count#26 ASC NULLS FIRST, cd_dep_college_count#27 ASC NULLS FIRST], [cd_gender#20, cd_marital_status#21, cd_education_status#22, cnt1#32, cd_purchase_estimate#23, cnt2#33, cd_credit_rating#24, cnt3#34, cd_dep_count#25, cnt4#35, cd_dep_employed_count#26, cnt5#36, cd_dep_college_count#27, cnt6#37], 0

(65) VeloxColumnarToRow
Input [14]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cnt1#32, cd_purchase_estimate#23, cnt2#33, cd_credit_rating#24, cnt3#34, cd_dep_count#25, cnt4#35, cd_dep_employed_count#26, cnt5#36, cd_dep_college_count#27, cnt6#37]

===== Subqueries =====

Subquery:1 Hosting operator id = 3 Hosting Expression = ws_sold_date_sk#5 IN dynamicpruning#6
ColumnarBroadcastExchange (70)
+- ^ ProjectExecTransformer (68)
   +- ^ FilterExecTransformer (67)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (66)


(66) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#7, d_year#38, d_moy#39]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2002), GreaterThanOrEqual(d_moy,4), LessThanOrEqual(d_moy,7), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(67) FilterExecTransformer
Input [3]: [d_date_sk#7, d_year#38, d_moy#39]
Arguments: (((((isnotnull(d_year#38) AND isnotnull(d_moy#39)) AND (d_year#38 = 2002)) AND (d_moy#39 >= 4)) AND (d_moy#39 <= 7)) AND isnotnull(d_date_sk#7))

(68) ProjectExecTransformer
Output [1]: [d_date_sk#7]
Input [3]: [d_date_sk#7, d_year#38, d_moy#39]

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

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

Subquery:2 Hosting operator id = 11 Hosting Expression = cs_sold_date_sk#10 IN dynamicpruning#6

Subquery:3 Hosting operator id = 24 Hosting Expression = ss_sold_date_sk#14 IN dynamicpruning#6


