== Physical Plan ==
VeloxColumnarToRow (62)
+- TakeOrderedAndProjectExecTransformer (61)
   +- ^ ProjectExecTransformer (59)
      +- ^ RegularHashAggregateExecTransformer (58)
         +- ^ InputIteratorTransformer (57)
            +- ColumnarExchange (55)
               +- VeloxResizeBatches (54)
                  +- ^ ProjectExecTransformer (52)
                     +- ^ FlushableHashAggregateExecTransformer (51)
                        +- ^ ProjectExecTransformer (50)
                           +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (49)
                              :- ^ ProjectExecTransformer (42)
                              :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (41)
                              :     :- ^ ProjectExecTransformer (33)
                              :     :  +- ^ BroadcastHashJoinExecTransformer LeftSemi BuildRight (32)
                              :     :     :- ^ BroadcastHashJoinExecTransformer LeftSemi BuildRight (13)
                              :     :     :  :- ^ FilterExecTransformer (2)
                              :     :     :  :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer (1)
                              :     :     :  +- ^ InputIteratorTransformer (12)
                              :     :     :     +- ColumnarBroadcastExchange (10)
                              :     :     :        +- ^ ProjectExecTransformer (8)
                              :     :     :           +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (7)
                              :     :     :              :- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store_sales (3)
                              :     :     :              +- ^ InputIteratorTransformer (6)
                              :     :     :                 +- ReusedExchange (4)
                              :     :     +- ^ InputIteratorTransformer (31)
                              :     :        +- ColumnarBroadcastExchange (29)
                              :     :           +- ColumnarUnion (28)
                              :     :              :- ^ ProjectExecTransformer (19)
                              :     :              :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (18)
                              :     :              :     :- ^ FileSourceScanExecTransformer parquet spark_catalog.default.web_sales (14)
                              :     :              :     +- ^ InputIteratorTransformer (17)
                              :     :              :        +- ReusedExchange (15)
                              :     :              +- ^ ProjectExecTransformer (26)
                              :     :                 +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (25)
                              :     :                    :- ^ FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales (21)
                              :     :                    +- ^ InputIteratorTransformer (24)
                              :     :                       +- ReusedExchange (22)
                              :     +- ^ InputIteratorTransformer (40)
                              :        +- ColumnarBroadcastExchange (38)
                              :           +- ^ ProjectExecTransformer (36)
                              :              +- ^ FilterExecTransformer (35)
                              :                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (34)
                              +- ^ InputIteratorTransformer (48)
                                 +- ColumnarBroadcastExchange (46)
                                    +- ^ FilterExecTransformer (44)
                                       +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_demographics (43)


(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_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_current_addr_sk#3) AND isnotnull(c_current_cdemo_sk#2))

(3) FileSourceScanExecTransformer parquet spark_catalog.default.store_sales
Output [2]: [ss_customer_sk#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)]
ReadSchema: struct<ss_customer_sk:int>

(4) ReusedExchange [Reuses operator id: 67]
Output [1]: [d_date_sk#7]

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

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

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

(8) ProjectExecTransformer
Output [1]: [ss_customer_sk#4]
Input [3]: [ss_customer_sk#4, ss_sold_date_sk#5, d_date_sk#7]

(9) WholeStageCodegenTransformer (3)
Input [1]: [ss_customer_sk#4]
Arguments: false

(10) ColumnarBroadcastExchange
Input [1]: [ss_customer_sk#4]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=1]

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

(12) InputIteratorTransformer
Input [1]: [ss_customer_sk#4]

(13) BroadcastHashJoinExecTransformer
Left keys [1]: [c_customer_sk#1]
Right keys [1]: [ss_customer_sk#4]
Join type: LeftSemi
Join condition: None

(14) FileSourceScanExecTransformer parquet spark_catalog.default.web_sales
Output [2]: [ws_bill_customer_sk#8, ws_sold_date_sk#9]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#9), dynamicpruningexpression(ws_sold_date_sk#9 IN dynamicpruning#6)]
ReadSchema: struct<ws_bill_customer_sk:int>

(15) ReusedExchange [Reuses operator id: 67]
Output [1]: [d_date_sk#10]

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

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

(18) BroadcastHashJoinExecTransformer
Left keys [1]: [ws_sold_date_sk#9]
Right keys [1]: [d_date_sk#10]
Join type: Inner
Join condition: None

(19) ProjectExecTransformer
Output [1]: [ws_bill_customer_sk#8 AS customer_sk#11]
Input [3]: [ws_bill_customer_sk#8, ws_sold_date_sk#9, d_date_sk#10]

(20) WholeStageCodegenTransformer (6)
Input [1]: [customer_sk#11]
Arguments: false

(21) FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales
Output [2]: [cs_ship_customer_sk#12, cs_sold_date_sk#13]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#13), dynamicpruningexpression(cs_sold_date_sk#13 IN dynamicpruning#6)]
ReadSchema: struct<cs_ship_customer_sk:int>

(22) ReusedExchange [Reuses operator id: 67]
Output [1]: [d_date_sk#14]

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

(24) InputIteratorTransformer
Input [1]: [d_date_sk#14]

(25) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_sold_date_sk#13]
Right keys [1]: [d_date_sk#14]
Join type: Inner
Join condition: None

(26) ProjectExecTransformer
Output [1]: [cs_ship_customer_sk#12 AS customer_sk#15]
Input [3]: [cs_ship_customer_sk#12, cs_sold_date_sk#13, d_date_sk#14]

(27) WholeStageCodegenTransformer (9)
Input [1]: [customer_sk#15]
Arguments: false

(28) ColumnarUnion
Arguments: UnknownPartitioning(0)

(29) ColumnarBroadcastExchange
Input [1]: [customer_sk#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]

(30) InputAdapter
Input [1]: [customer_sk#11]

(31) InputIteratorTransformer
Input [1]: [customer_sk#11]

(32) BroadcastHashJoinExecTransformer
Left keys [1]: [c_customer_sk#1]
Right keys [1]: [customer_sk#11]
Join type: LeftSemi
Join condition: None

(33) 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]

(34) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#16, ca_county#17]
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>

(35) FilterExecTransformer
Input [2]: [ca_address_sk#16, ca_county#17]
Arguments: (ca_county#17 IN (Walker County,Richland County,Gaines County,Douglas County,Dona Ana County) AND isnotnull(ca_address_sk#16))

(36) ProjectExecTransformer
Output [1]: [ca_address_sk#16]
Input [2]: [ca_address_sk#16, ca_county#17]

(37) WholeStageCodegenTransformer (10)
Input [1]: [ca_address_sk#16]
Arguments: false

(38) ColumnarBroadcastExchange
Input [1]: [ca_address_sk#16]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]

(39) InputAdapter
Input [1]: [ca_address_sk#16]

(40) InputIteratorTransformer
Input [1]: [ca_address_sk#16]

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

(42) ProjectExecTransformer
Output [1]: [c_current_cdemo_sk#2]
Input [3]: [c_current_cdemo_sk#2, c_current_addr_sk#3, ca_address_sk#16]

(43) FileSourceScanExecTransformer parquet spark_catalog.default.customer_demographics
Output [9]: [cd_demo_sk#18, cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26]
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>

(44) FilterExecTransformer
Input [9]: [cd_demo_sk#18, cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26]
Arguments: isnotnull(cd_demo_sk#18)

(45) WholeStageCodegenTransformer (11)
Input [9]: [cd_demo_sk#18, cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26]
Arguments: false

(46) ColumnarBroadcastExchange
Input [9]: [cd_demo_sk#18, cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=4]

(47) InputAdapter
Input [9]: [cd_demo_sk#18, cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26]

(48) InputIteratorTransformer
Input [9]: [cd_demo_sk#18, cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26]

(49) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_cdemo_sk#2]
Right keys [1]: [cd_demo_sk#18]
Join type: Inner
Join condition: None

(50) ProjectExecTransformer
Output [8]: [cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26]
Input [10]: [c_current_cdemo_sk#2, cd_demo_sk#18, cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26]

(51) FlushableHashAggregateExecTransformer
Input [8]: [cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26]
Keys [8]: [cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#27]
Results [9]: [cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#28]

(52) ProjectExecTransformer
Output [10]: [hash(cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, 42) AS hash_partition_key#29, cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#28]
Input [9]: [cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#28]

(53) WholeStageCodegenTransformer (12)
Input [10]: [hash_partition_key#29, cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#28]
Arguments: false

(54) VeloxResizeBatches
Input [10]: [hash_partition_key#29, cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#28]
Arguments: 1024, 2147483647, 10485760

(55) ColumnarExchange
Input [10]: [hash_partition_key#29, cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#28]
Arguments: hashpartitioning(cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, 1), ENSURE_REQUIREMENTS, [cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#28], [plan_id=5], [shuffle_writer_type=hash]

(56) InputAdapter
Input [9]: [cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#28]

(57) InputIteratorTransformer
Input [9]: [cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#28]

(58) RegularHashAggregateExecTransformer
Input [9]: [cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#28]
Keys [8]: [cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#30]
Results [9]: [cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count(1)#30]

(59) ProjectExecTransformer
Output [14]: [cd_gender#19, cd_marital_status#20, cd_education_status#21, count(1)#30 AS cnt1#31, cd_purchase_estimate#22, count(1)#30 AS cnt2#32, cd_credit_rating#23, count(1)#30 AS cnt3#33, cd_dep_count#24, count(1)#30 AS cnt4#34, cd_dep_employed_count#25, count(1)#30 AS cnt5#35, cd_dep_college_count#26, count(1)#30 AS cnt6#36]
Input [9]: [cd_gender#19, cd_marital_status#20, cd_education_status#21, cd_purchase_estimate#22, cd_credit_rating#23, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count(1)#30]

(60) WholeStageCodegenTransformer (13)
Input [14]: [cd_gender#19, cd_marital_status#20, cd_education_status#21, cnt1#31, cd_purchase_estimate#22, cnt2#32, cd_credit_rating#23, cnt3#33, cd_dep_count#24, cnt4#34, cd_dep_employed_count#25, cnt5#35, cd_dep_college_count#26, cnt6#36]
Arguments: false

(61) TakeOrderedAndProjectExecTransformer
Input [14]: [cd_gender#19, cd_marital_status#20, cd_education_status#21, cnt1#31, cd_purchase_estimate#22, cnt2#32, cd_credit_rating#23, cnt3#33, cd_dep_count#24, cnt4#34, cd_dep_employed_count#25, cnt5#35, cd_dep_college_count#26, cnt6#36]
Arguments: 100, [cd_gender#19 ASC NULLS FIRST, cd_marital_status#20 ASC NULLS FIRST, cd_education_status#21 ASC NULLS FIRST, cd_purchase_estimate#22 ASC NULLS FIRST, cd_credit_rating#23 ASC NULLS FIRST, cd_dep_count#24 ASC NULLS FIRST, cd_dep_employed_count#25 ASC NULLS FIRST, cd_dep_college_count#26 ASC NULLS FIRST], [cd_gender#19, cd_marital_status#20, cd_education_status#21, cnt1#31, cd_purchase_estimate#22, cnt2#32, cd_credit_rating#23, cnt3#33, cd_dep_count#24, cnt4#34, cd_dep_employed_count#25, cnt5#35, cd_dep_college_count#26, cnt6#36], 0

(62) VeloxColumnarToRow
Input [14]: [cd_gender#19, cd_marital_status#20, cd_education_status#21, cnt1#31, cd_purchase_estimate#22, cnt2#32, cd_credit_rating#23, cnt3#33, cd_dep_count#24, cnt4#34, cd_dep_employed_count#25, cnt5#35, cd_dep_college_count#26, cnt6#36]

===== Subqueries =====

Subquery:1 Hosting operator id = 3 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6
ColumnarBroadcastExchange (67)
+- ^ ProjectExecTransformer (65)
   +- ^ FilterExecTransformer (64)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (63)


(63) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#7, d_year#37, d_moy#38]
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>

(64) FilterExecTransformer
Input [3]: [d_date_sk#7, d_year#37, d_moy#38]
Arguments: (((((isnotnull(d_year#37) AND isnotnull(d_moy#38)) AND (d_year#37 = 2002)) AND (d_moy#38 >= 4)) AND (d_moy#38 <= 7)) AND isnotnull(d_date_sk#7))

(65) ProjectExecTransformer
Output [1]: [d_date_sk#7]
Input [3]: [d_date_sk#7, d_year#37, d_moy#38]

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

(67) 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 = 14 Hosting Expression = ws_sold_date_sk#9 IN dynamicpruning#6

Subquery:3 Hosting operator id = 21 Hosting Expression = cs_sold_date_sk#13 IN dynamicpruning#6


