== Physical Plan ==
VeloxColumnarToRow (77)
+- TakeOrderedAndProjectExecTransformer (76)
   +- ^ ProjectExecTransformer (74)
      +- ^ RegularHashAggregateExecTransformer (73)
         +- ^ InputIteratorTransformer (72)
            +- ColumnarExchange (70)
               +- VeloxResizeBatches (69)
                  +- ^ ProjectExecTransformer (67)
                     +- ^ FlushableHashAggregateExecTransformer (66)
                        +- ^ ProjectExecTransformer (65)
                           +- ^ BroadcastHashJoinExecTransformer Inner BuildLeft (64)
                              :- ^ InputIteratorTransformer (61)
                              :  +- ColumnarBroadcastExchange (59)
                              :     +- ^ ProjectExecTransformer (57)
                              :        +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (56)
                              :           :- ^ ProjectExecTransformer (48)
                              :           :  +- ^ ShuffledHashJoinExecTransformer LeftSemi BuildRight (47)
                              :           :     :- ^ ShuffledHashJoinExecTransformer LeftSemi BuildRight (34)
                              :           :     :  :- ^ InputIteratorTransformer (8)
                              :           :     :  :  +- ColumnarExchange (6)
                              :           :     :  :     +- VeloxResizeBatches (5)
                              :           :     :  :        +- ^ ProjectExecTransformer (3)
                              :           :     :  :           +- ^ FilterExecTransformer (2)
                              :           :     :  :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer (1)
                              :           :     :  +- ^ InputIteratorTransformer (33)
                              :           :     :     +- ColumnarExchange (31)
                              :           :     :        +- VeloxResizeBatches (30)
                              :           :     :           +- ^ ProjectExecTransformer (28)
                              :           :     :              +- ^ InputIteratorTransformer (27)
                              :           :     :                 +- ColumnarUnion (25)
                              :           :     :                    :- ^ ProjectExecTransformer (15)
                              :           :     :                    :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (14)
                              :           :     :                    :     :- ^ FilterExecTransformer (10)
                              :           :     :                    :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.web_sales (9)
                              :           :     :                    :     +- ^ InputIteratorTransformer (13)
                              :           :     :                    :        +- ReusedExchange (11)
                              :           :     :                    +- ^ ProjectExecTransformer (23)
                              :           :     :                       +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (22)
                              :           :     :                          :- ^ FilterExecTransformer (18)
                              :           :     :                          :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales (17)
                              :           :     :                          +- ^ InputIteratorTransformer (21)
                              :           :     :                             +- ReusedExchange (19)
                              :           :     +- ^ InputIteratorTransformer (46)
                              :           :        +- ColumnarExchange (44)
                              :           :           +- VeloxResizeBatches (43)
                              :           :              +- ^ ProjectExecTransformer (41)
                              :           :                 +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (40)
                              :           :                    :- ^ FilterExecTransformer (36)
                              :           :                    :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store_sales (35)
                              :           :                    +- ^ InputIteratorTransformer (39)
                              :           :                       +- ReusedExchange (37)
                              :           +- ^ InputIteratorTransformer (55)
                              :              +- ColumnarBroadcastExchange (53)
                              :                 +- ^ ProjectExecTransformer (51)
                              :                    +- ^ FilterExecTransformer (50)
                              :                       +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (49)
                              +- ^ FilterExecTransformer (63)
                                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_demographics (62)


(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)) AND velox_might_contain(Subquery scalar-subquery#4, [id=#1], xxhash64(c_current_addr_sk#3, 42)))

(3) ProjectExecTransformer
Output [4]: [hash(c_customer_sk#1, 42) AS hash_partition_key#5, c_customer_sk#1, 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]

(4) WholeStageCodegenTransformer (3)
Input [4]: [hash_partition_key#5, c_customer_sk#1, c_current_cdemo_sk#2, c_current_addr_sk#3]
Arguments: false

(5) VeloxResizeBatches
Input [4]: [hash_partition_key#5, c_customer_sk#1, c_current_cdemo_sk#2, c_current_addr_sk#3]
Arguments: 1024, 2147483647, 10485760

(6) ColumnarExchange
Input [4]: [hash_partition_key#5, c_customer_sk#1, c_current_cdemo_sk#2, c_current_addr_sk#3]
Arguments: hashpartitioning(c_customer_sk#1, 1), ENSURE_REQUIREMENTS, [c_customer_sk#1, c_current_cdemo_sk#2, c_current_addr_sk#3], [plan_id=2], [shuffle_writer_type=hash]

(7) InputAdapter
Input [3]: [c_customer_sk#1, c_current_cdemo_sk#2, c_current_addr_sk#3]

(8) InputIteratorTransformer
Input [3]: [c_customer_sk#1, c_current_cdemo_sk#2, c_current_addr_sk#3]

(9) FileSourceScanExecTransformer parquet spark_catalog.default.web_sales
Output [2]: [ws_bill_customer_sk#6, ws_sold_date_sk#7]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#7), dynamicpruningexpression(ws_sold_date_sk#7 IN dynamicpruning#8)]
PushedFilters: [IsNotNull(ws_bill_customer_sk)]
ReadSchema: struct<ws_bill_customer_sk:int>

(10) FilterExecTransformer
Input [2]: [ws_bill_customer_sk#6, ws_sold_date_sk#7]
Arguments: isnotnull(ws_bill_customer_sk#6)

(11) ReusedExchange [Reuses operator id: 94]
Output [1]: [d_date_sk#9]

(12) InputAdapter
Input [1]: [d_date_sk#9]

(13) InputIteratorTransformer
Input [1]: [d_date_sk#9]

(14) BroadcastHashJoinExecTransformer
Left keys [1]: [ws_sold_date_sk#7]
Right keys [1]: [d_date_sk#9]
Join type: Inner
Join condition: None

(15) ProjectExecTransformer
Output [1]: [ws_bill_customer_sk#6 AS customer_sk#10]
Input [3]: [ws_bill_customer_sk#6, ws_sold_date_sk#7, d_date_sk#9]

(16) WholeStageCodegenTransformer (6)
Input [1]: [customer_sk#10]
Arguments: false

(17) FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales
Output [2]: [cs_ship_customer_sk#11, cs_sold_date_sk#12]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#12), dynamicpruningexpression(cs_sold_date_sk#12 IN dynamicpruning#8)]
PushedFilters: [IsNotNull(cs_ship_customer_sk)]
ReadSchema: struct<cs_ship_customer_sk:int>

(18) FilterExecTransformer
Input [2]: [cs_ship_customer_sk#11, cs_sold_date_sk#12]
Arguments: isnotnull(cs_ship_customer_sk#11)

(19) ReusedExchange [Reuses operator id: 94]
Output [1]: [d_date_sk#13]

(20) InputAdapter
Input [1]: [d_date_sk#13]

(21) InputIteratorTransformer
Input [1]: [d_date_sk#13]

(22) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_sold_date_sk#12]
Right keys [1]: [d_date_sk#13]
Join type: Inner
Join condition: None

(23) ProjectExecTransformer
Output [1]: [cs_ship_customer_sk#11 AS customer_sk#14]
Input [3]: [cs_ship_customer_sk#11, cs_sold_date_sk#12, d_date_sk#13]

(24) WholeStageCodegenTransformer (9)
Input [1]: [customer_sk#14]
Arguments: false

(25) ColumnarUnion
Arguments: UnknownPartitioning(0)

(26) InputAdapter
Input [1]: [customer_sk#10]

(27) InputIteratorTransformer
Input [1]: [customer_sk#10]

(28) ProjectExecTransformer
Output [2]: [hash(customer_sk#10, 42) AS hash_partition_key#15, customer_sk#10]
Input [1]: [customer_sk#10]

(29) WholeStageCodegenTransformer (10)
Input [2]: [hash_partition_key#15, customer_sk#10]
Arguments: false

(30) VeloxResizeBatches
Input [2]: [hash_partition_key#15, customer_sk#10]
Arguments: 1024, 2147483647, 10485760

(31) ColumnarExchange
Input [2]: [hash_partition_key#15, customer_sk#10]
Arguments: hashpartitioning(customer_sk#10, 1), ENSURE_REQUIREMENTS, [customer_sk#10], [plan_id=3], [shuffle_writer_type=hash]

(32) InputAdapter
Input [1]: [customer_sk#10]

(33) InputIteratorTransformer
Input [1]: [customer_sk#10]

(34) ShuffledHashJoinExecTransformer
Left keys [1]: [c_customer_sk#1]
Right keys [1]: [customer_sk#10]
Join type: LeftSemi
Join condition: None

(35) FileSourceScanExecTransformer parquet spark_catalog.default.store_sales
Output [2]: [ss_customer_sk#16, ss_sold_date_sk#17]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#17), dynamicpruningexpression(ss_sold_date_sk#17 IN dynamicpruning#8)]
PushedFilters: [IsNotNull(ss_customer_sk)]
ReadSchema: struct<ss_customer_sk:int>

(36) FilterExecTransformer
Input [2]: [ss_customer_sk#16, ss_sold_date_sk#17]
Arguments: isnotnull(ss_customer_sk#16)

(37) ReusedExchange [Reuses operator id: 94]
Output [1]: [d_date_sk#18]

(38) InputAdapter
Input [1]: [d_date_sk#18]

(39) InputIteratorTransformer
Input [1]: [d_date_sk#18]

(40) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_sold_date_sk#17]
Right keys [1]: [d_date_sk#18]
Join type: Inner
Join condition: None

(41) ProjectExecTransformer
Output [2]: [hash(ss_customer_sk#16, 42) AS hash_partition_key#19, ss_customer_sk#16 AS customer_sk#20]
Input [3]: [ss_customer_sk#16, ss_sold_date_sk#17, d_date_sk#18]

(42) WholeStageCodegenTransformer (13)
Input [2]: [hash_partition_key#19, customer_sk#20]
Arguments: false

(43) VeloxResizeBatches
Input [2]: [hash_partition_key#19, customer_sk#20]
Arguments: 1024, 2147483647, 10485760

(44) ColumnarExchange
Input [2]: [hash_partition_key#19, customer_sk#20]
Arguments: hashpartitioning(customer_sk#20, 1), ENSURE_REQUIREMENTS, [customer_sk#20], [plan_id=4], [shuffle_writer_type=hash]

(45) InputAdapter
Input [1]: [customer_sk#20]

(46) InputIteratorTransformer
Input [1]: [customer_sk#20]

(47) ShuffledHashJoinExecTransformer
Left keys [1]: [c_customer_sk#1]
Right keys [1]: [customer_sk#20]
Join type: LeftSemi
Join condition: None

(48) 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]

(49) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#21, ca_county#22]
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>

(50) FilterExecTransformer
Input [2]: [ca_address_sk#21, ca_county#22]
Arguments: (ca_county#22 IN (Walker County,Richland County,Gaines County,Douglas County,Dona Ana County) AND isnotnull(ca_address_sk#21))

(51) ProjectExecTransformer
Output [1]: [ca_address_sk#21]
Input [2]: [ca_address_sk#21, ca_county#22]

(52) WholeStageCodegenTransformer (14)
Input [1]: [ca_address_sk#21]
Arguments: false

(53) ColumnarBroadcastExchange
Input [1]: [ca_address_sk#21]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5]

(54) InputAdapter
Input [1]: [ca_address_sk#21]

(55) InputIteratorTransformer
Input [1]: [ca_address_sk#21]

(56) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_addr_sk#3]
Right keys [1]: [ca_address_sk#21]
Join type: Inner
Join condition: None

(57) ProjectExecTransformer
Output [1]: [c_current_cdemo_sk#2]
Input [3]: [c_current_cdemo_sk#2, c_current_addr_sk#3, ca_address_sk#21]

(58) WholeStageCodegenTransformer (15)
Input [1]: [c_current_cdemo_sk#2]
Arguments: false

(59) ColumnarBroadcastExchange
Input [1]: [c_current_cdemo_sk#2]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6]

(60) InputAdapter
Input [1]: [c_current_cdemo_sk#2]

(61) InputIteratorTransformer
Input [1]: [c_current_cdemo_sk#2]

(62) FileSourceScanExecTransformer parquet spark_catalog.default.customer_demographics
Output [9]: [cd_demo_sk#23, cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31]
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>

(63) FilterExecTransformer
Input [9]: [cd_demo_sk#23, cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31]
Arguments: isnotnull(cd_demo_sk#23)

(64) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_cdemo_sk#2]
Right keys [1]: [cd_demo_sk#23]
Join type: Inner
Join condition: None

(65) ProjectExecTransformer
Output [8]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31]
Input [10]: [c_current_cdemo_sk#2, cd_demo_sk#23, cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31]

(66) FlushableHashAggregateExecTransformer
Input [8]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31]
Keys [8]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#32]
Results [9]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31, count#33]

(67) ProjectExecTransformer
Output [10]: [hash(cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31, 42) AS hash_partition_key#34, cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31, count#33]
Input [9]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31, count#33]

(68) WholeStageCodegenTransformer (16)
Input [10]: [hash_partition_key#34, cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31, count#33]
Arguments: false

(69) VeloxResizeBatches
Input [10]: [hash_partition_key#34, cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31, count#33]
Arguments: 1024, 2147483647, 10485760

(70) ColumnarExchange
Input [10]: [hash_partition_key#34, cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31, count#33]
Arguments: hashpartitioning(cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31, 1), ENSURE_REQUIREMENTS, [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31, count#33], [plan_id=7], [shuffle_writer_type=hash]

(71) InputAdapter
Input [9]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31, count#33]

(72) InputIteratorTransformer
Input [9]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31, count#33]

(73) RegularHashAggregateExecTransformer
Input [9]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31, count#33]
Keys [8]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#35]
Results [9]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31, count(1)#35]

(74) ProjectExecTransformer
Output [14]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, count(1)#35 AS cnt1#36, cd_purchase_estimate#27, count(1)#35 AS cnt2#37, cd_credit_rating#28, count(1)#35 AS cnt3#38, cd_dep_count#29, count(1)#35 AS cnt4#39, cd_dep_employed_count#30, count(1)#35 AS cnt5#40, cd_dep_college_count#31, count(1)#35 AS cnt6#41]
Input [9]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#27, cd_credit_rating#28, cd_dep_count#29, cd_dep_employed_count#30, cd_dep_college_count#31, count(1)#35]

(75) WholeStageCodegenTransformer (17)
Input [14]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cnt1#36, cd_purchase_estimate#27, cnt2#37, cd_credit_rating#28, cnt3#38, cd_dep_count#29, cnt4#39, cd_dep_employed_count#30, cnt5#40, cd_dep_college_count#31, cnt6#41]
Arguments: false

(76) TakeOrderedAndProjectExecTransformer
Input [14]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cnt1#36, cd_purchase_estimate#27, cnt2#37, cd_credit_rating#28, cnt3#38, cd_dep_count#29, cnt4#39, cd_dep_employed_count#30, cnt5#40, cd_dep_college_count#31, cnt6#41]
Arguments: 100, [cd_gender#24 ASC NULLS FIRST, cd_marital_status#25 ASC NULLS FIRST, cd_education_status#26 ASC NULLS FIRST, cd_purchase_estimate#27 ASC NULLS FIRST, cd_credit_rating#28 ASC NULLS FIRST, cd_dep_count#29 ASC NULLS FIRST, cd_dep_employed_count#30 ASC NULLS FIRST, cd_dep_college_count#31 ASC NULLS FIRST], [cd_gender#24, cd_marital_status#25, cd_education_status#26, cnt1#36, cd_purchase_estimate#27, cnt2#37, cd_credit_rating#28, cnt3#38, cd_dep_count#29, cnt4#39, cd_dep_employed_count#30, cnt5#40, cd_dep_college_count#31, cnt6#41], 0

(77) VeloxColumnarToRow
Input [14]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cnt1#36, cd_purchase_estimate#27, cnt2#37, cd_credit_rating#28, cnt3#38, cd_dep_count#29, cnt4#39, cd_dep_employed_count#30, cnt5#40, cd_dep_college_count#31, cnt6#41]

===== Subqueries =====

Subquery:1 Hosting operator id = 2 Hosting Expression = Subquery scalar-subquery#4, [id=#1]
VeloxColumnarToRow (89)
+- ^ RegularHashAggregateExecTransformer (87)
   +- ^ InputIteratorTransformer (86)
      +- ColumnarExchange (84)
         +- VeloxResizeBatches (83)
            +- ^ FlushableHashAggregateExecTransformer (81)
               +- ^ ProjectExecTransformer (80)
                  +- ^ FilterExecTransformer (79)
                     +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (78)


(78) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#21, ca_county#22]
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>

(79) FilterExecTransformer
Input [2]: [ca_address_sk#21, ca_county#22]
Arguments: (ca_county#22 IN (Walker County,Richland County,Gaines County,Douglas County,Dona Ana County) AND isnotnull(ca_address_sk#21))

(80) ProjectExecTransformer
Output [1]: [xxhash64(ca_address_sk#21, 42) AS _pre_1#42]
Input [2]: [ca_address_sk#21, ca_county#22]

(81) FlushableHashAggregateExecTransformer
Input [1]: [_pre_1#42]
Keys: []
Functions [1]: [partial_velox_bloom_filter_agg(_pre_1#42, 2555, 57765, 0, 0)]
Aggregate Attributes [1]: [buf#43]
Results [1]: [buf#44]

(82) WholeStageCodegenTransformer (1)
Input [1]: [buf#44]
Arguments: false

(83) VeloxResizeBatches
Input [1]: [buf#44]
Arguments: 1024, 2147483647, 10485760

(84) ColumnarExchange
Input [1]: [buf#44]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=8], [shuffle_writer_type=hash]

(85) InputAdapter
Input [1]: [buf#44]

(86) InputIteratorTransformer
Input [1]: [buf#44]

(87) RegularHashAggregateExecTransformer
Input [1]: [buf#44]
Keys: []
Functions [1]: [velox_bloom_filter_agg(xxhash64(ca_address_sk#21, 42), 2555, 57765, 0, 0)]
Aggregate Attributes [1]: [bloom_filter_agg(xxhash64(ca_address_sk#21, 42), 2555, 57765, 0, 0)#45]
Results [1]: [bloom_filter_agg(xxhash64(ca_address_sk#21, 42), 2555, 57765, 0, 0)#45 AS bloomFilter#46]

(88) WholeStageCodegenTransformer (2)
Input [1]: [bloomFilter#46]
Arguments: false

(89) VeloxColumnarToRow
Input [1]: [bloomFilter#46]

Subquery:2 Hosting operator id = 1 Hosting Expression = Subquery scalar-subquery#4, [id=#1]
VeloxColumnarToRow (89)
+- ^ RegularHashAggregateExecTransformer (87)
   +- ^ InputIteratorTransformer (86)
      +- ColumnarExchange (84)
         +- VeloxResizeBatches (83)
            +- ^ FlushableHashAggregateExecTransformer (81)
               +- ^ ProjectExecTransformer (80)
                  +- ^ FilterExecTransformer (79)
                     +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (78)


Subquery:3 Hosting operator id = 9 Hosting Expression = ws_sold_date_sk#7 IN dynamicpruning#8
ColumnarBroadcastExchange (94)
+- ^ ProjectExecTransformer (92)
   +- ^ FilterExecTransformer (91)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (90)


(90) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#9, d_year#47, d_moy#48]
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>

(91) FilterExecTransformer
Input [3]: [d_date_sk#9, d_year#47, d_moy#48]
Arguments: (((((isnotnull(d_year#47) AND isnotnull(d_moy#48)) AND (d_year#47 = 2002)) AND (d_moy#48 >= 4)) AND (d_moy#48 <= 7)) AND isnotnull(d_date_sk#9))

(92) ProjectExecTransformer
Output [1]: [d_date_sk#9]
Input [3]: [d_date_sk#9, d_year#47, d_moy#48]

(93) WholeStageCodegenTransformer (4)
Input [1]: [d_date_sk#9]
Arguments: false

(94) ColumnarBroadcastExchange
Input [1]: [d_date_sk#9]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9]

Subquery:4 Hosting operator id = 17 Hosting Expression = cs_sold_date_sk#12 IN dynamicpruning#8

Subquery:5 Hosting operator id = 35 Hosting Expression = ss_sold_date_sk#17 IN dynamicpruning#8


