== Physical Plan ==
VeloxColumnarToRow (74)
+- TakeOrderedAndProjectExecTransformer (73)
   +- ^ ProjectExecTransformer (71)
      +- ^ RegularHashAggregateExecTransformer (70)
         +- ^ InputIteratorTransformer (69)
            +- ColumnarExchange (67)
               +- VeloxResizeBatches (66)
                  +- ^ ProjectExecTransformer (64)
                     +- ^ FlushableHashAggregateExecTransformer (63)
                        +- ^ ProjectExecTransformer (62)
                           +- ^ BroadcastHashJoinExecTransformer Inner BuildLeft (61)
                              :- ^ InputIteratorTransformer (58)
                              :  +- ColumnarBroadcastExchange (56)
                              :     +- ^ ProjectExecTransformer (54)
                              :        +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (53)
                              :           :- ^ ProjectExecTransformer (45)
                              :           :  +- ^ ShuffledHashJoinExecTransformer LeftSemi BuildRight (44)
                              :           :     :- ^ ShuffledHashJoinExecTransformer LeftSemi BuildRight (20)
                              :           :     :  :- ^ InputIteratorTransformer (8)
                              :           :     :  :  +- ColumnarExchange (6)
                              :           :     :  :     +- VeloxResizeBatches (5)
                              :           :     :  :        +- ^ ProjectExecTransformer (3)
                              :           :     :  :           +- ^ FilterExecTransformer (2)
                              :           :     :  :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer (1)
                              :           :     :  +- ^ InputIteratorTransformer (19)
                              :           :     :     +- ColumnarExchange (17)
                              :           :     :        +- VeloxResizeBatches (16)
                              :           :     :           +- ^ ProjectExecTransformer (14)
                              :           :     :              +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (13)
                              :           :     :                 :- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store_sales (9)
                              :           :     :                 +- ^ InputIteratorTransformer (12)
                              :           :     :                    +- ReusedExchange (10)
                              :           :     +- ^ InputIteratorTransformer (43)
                              :           :        +- ColumnarExchange (41)
                              :           :           +- VeloxResizeBatches (40)
                              :           :              +- ^ ProjectExecTransformer (38)
                              :           :                 +- ^ InputIteratorTransformer (37)
                              :           :                    +- ColumnarUnion (35)
                              :           :                       :- ^ ProjectExecTransformer (26)
                              :           :                       :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (25)
                              :           :                       :     :- ^ FileSourceScanExecTransformer parquet spark_catalog.default.web_sales (21)
                              :           :                       :     +- ^ InputIteratorTransformer (24)
                              :           :                       :        +- ReusedExchange (22)
                              :           :                       +- ^ ProjectExecTransformer (33)
                              :           :                          +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (32)
                              :           :                             :- ^ FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales (28)
                              :           :                             +- ^ InputIteratorTransformer (31)
                              :           :                                +- ReusedExchange (29)
                              :           +- ^ InputIteratorTransformer (52)
                              :              +- ColumnarBroadcastExchange (50)
                              :                 +- ^ ProjectExecTransformer (48)
                              :                    +- ^ FilterExecTransformer (47)
                              :                       +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (46)
                              +- ^ FilterExecTransformer (60)
                                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_demographics (59)


(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)) 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.store_sales
Output [2]: [ss_customer_sk#6, ss_sold_date_sk#7]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#7), dynamicpruningexpression(ss_sold_date_sk#7 IN dynamicpruning#8)]
ReadSchema: struct<ss_customer_sk:int>

(10) ReusedExchange [Reuses operator id: 91]
Output [1]: [d_date_sk#9]

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

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

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

(14) ProjectExecTransformer
Output [2]: [hash(ss_customer_sk#6, 42) AS hash_partition_key#10, ss_customer_sk#6]
Input [3]: [ss_customer_sk#6, ss_sold_date_sk#7, d_date_sk#9]

(15) WholeStageCodegenTransformer (6)
Input [2]: [hash_partition_key#10, ss_customer_sk#6]
Arguments: false

(16) VeloxResizeBatches
Input [2]: [hash_partition_key#10, ss_customer_sk#6]
Arguments: 1024, 2147483647, 10485760

(17) ColumnarExchange
Input [2]: [hash_partition_key#10, ss_customer_sk#6]
Arguments: hashpartitioning(ss_customer_sk#6, 1), ENSURE_REQUIREMENTS, [ss_customer_sk#6], [plan_id=3], [shuffle_writer_type=hash]

(18) InputAdapter
Input [1]: [ss_customer_sk#6]

(19) InputIteratorTransformer
Input [1]: [ss_customer_sk#6]

(20) ShuffledHashJoinExecTransformer
Left keys [1]: [c_customer_sk#1]
Right keys [1]: [ss_customer_sk#6]
Join type: LeftSemi
Join condition: None

(21) FileSourceScanExecTransformer parquet spark_catalog.default.web_sales
Output [2]: [ws_bill_customer_sk#11, ws_sold_date_sk#12]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#12), dynamicpruningexpression(ws_sold_date_sk#12 IN dynamicpruning#8)]
ReadSchema: struct<ws_bill_customer_sk:int>

(22) ReusedExchange [Reuses operator id: 91]
Output [1]: [d_date_sk#13]

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

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

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

(26) ProjectExecTransformer
Output [1]: [ws_bill_customer_sk#11 AS customer_sk#14]
Input [3]: [ws_bill_customer_sk#11, ws_sold_date_sk#12, d_date_sk#13]

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

(28) FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales
Output [2]: [cs_ship_customer_sk#15, cs_sold_date_sk#16]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#16), dynamicpruningexpression(cs_sold_date_sk#16 IN dynamicpruning#8)]
ReadSchema: struct<cs_ship_customer_sk:int>

(29) ReusedExchange [Reuses operator id: 91]
Output [1]: [d_date_sk#17]

(30) InputAdapter
Input [1]: [d_date_sk#17]

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

(32) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_sold_date_sk#16]
Right keys [1]: [d_date_sk#17]
Join type: Inner
Join condition: None

(33) ProjectExecTransformer
Output [1]: [cs_ship_customer_sk#15 AS customer_sk#18]
Input [3]: [cs_ship_customer_sk#15, cs_sold_date_sk#16, d_date_sk#17]

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

(35) ColumnarUnion
Arguments: UnknownPartitioning(0)

(36) InputAdapter
Input [1]: [customer_sk#14]

(37) InputIteratorTransformer
Input [1]: [customer_sk#14]

(38) ProjectExecTransformer
Output [2]: [hash(customer_sk#14, 42) AS hash_partition_key#19, customer_sk#14]
Input [1]: [customer_sk#14]

(39) WholeStageCodegenTransformer (13)
Input [2]: [hash_partition_key#19, customer_sk#14]
Arguments: false

(40) VeloxResizeBatches
Input [2]: [hash_partition_key#19, customer_sk#14]
Arguments: 1024, 2147483647, 10485760

(41) ColumnarExchange
Input [2]: [hash_partition_key#19, customer_sk#14]
Arguments: hashpartitioning(customer_sk#14, 1), ENSURE_REQUIREMENTS, [customer_sk#14], [plan_id=4], [shuffle_writer_type=hash]

(42) InputAdapter
Input [1]: [customer_sk#14]

(43) InputIteratorTransformer
Input [1]: [customer_sk#14]

(44) ShuffledHashJoinExecTransformer
Left keys [1]: [c_customer_sk#1]
Right keys [1]: [customer_sk#14]
Join type: LeftSemi
Join condition: None

(45) 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]

(46) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#20, ca_county#21]
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>

(47) FilterExecTransformer
Input [2]: [ca_address_sk#20, ca_county#21]
Arguments: (ca_county#21 IN (Walker County,Richland County,Gaines County,Douglas County,Dona Ana County) AND isnotnull(ca_address_sk#20))

(48) ProjectExecTransformer
Output [1]: [ca_address_sk#20]
Input [2]: [ca_address_sk#20, ca_county#21]

(49) WholeStageCodegenTransformer (14)
Input [1]: [ca_address_sk#20]
Arguments: false

(50) ColumnarBroadcastExchange
Input [1]: [ca_address_sk#20]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5]

(51) InputAdapter
Input [1]: [ca_address_sk#20]

(52) InputIteratorTransformer
Input [1]: [ca_address_sk#20]

(53) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_addr_sk#3]
Right keys [1]: [ca_address_sk#20]
Join type: Inner
Join condition: None

(54) ProjectExecTransformer
Output [1]: [c_current_cdemo_sk#2]
Input [3]: [c_current_cdemo_sk#2, c_current_addr_sk#3, ca_address_sk#20]

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

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

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

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

(59) FileSourceScanExecTransformer parquet spark_catalog.default.customer_demographics
Output [9]: [cd_demo_sk#22, cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30]
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>

(60) FilterExecTransformer
Input [9]: [cd_demo_sk#22, cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30]
Arguments: isnotnull(cd_demo_sk#22)

(61) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_cdemo_sk#2]
Right keys [1]: [cd_demo_sk#22]
Join type: Inner
Join condition: None

(62) ProjectExecTransformer
Output [8]: [cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30]
Input [10]: [c_current_cdemo_sk#2, cd_demo_sk#22, cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30]

(63) FlushableHashAggregateExecTransformer
Input [8]: [cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30]
Keys [8]: [cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#31]
Results [9]: [cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#32]

(64) ProjectExecTransformer
Output [10]: [hash(cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, 42) AS hash_partition_key#33, cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#32]
Input [9]: [cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#32]

(65) WholeStageCodegenTransformer (16)
Input [10]: [hash_partition_key#33, cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#32]
Arguments: false

(66) VeloxResizeBatches
Input [10]: [hash_partition_key#33, cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#32]
Arguments: 1024, 2147483647, 10485760

(67) ColumnarExchange
Input [10]: [hash_partition_key#33, cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#32]
Arguments: hashpartitioning(cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, 1), ENSURE_REQUIREMENTS, [cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#32], [plan_id=7], [shuffle_writer_type=hash]

(68) InputAdapter
Input [9]: [cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#32]

(69) InputIteratorTransformer
Input [9]: [cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#32]

(70) RegularHashAggregateExecTransformer
Input [9]: [cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#32]
Keys [8]: [cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#34]
Results [9]: [cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count(1)#34]

(71) ProjectExecTransformer
Output [14]: [cd_gender#23, cd_marital_status#24, cd_education_status#25, count(1)#34 AS cnt1#35, cd_purchase_estimate#26, count(1)#34 AS cnt2#36, cd_credit_rating#27, count(1)#34 AS cnt3#37, cd_dep_count#28, count(1)#34 AS cnt4#38, cd_dep_employed_count#29, count(1)#34 AS cnt5#39, cd_dep_college_count#30, count(1)#34 AS cnt6#40]
Input [9]: [cd_gender#23, cd_marital_status#24, cd_education_status#25, cd_purchase_estimate#26, cd_credit_rating#27, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count(1)#34]

(72) WholeStageCodegenTransformer (17)
Input [14]: [cd_gender#23, cd_marital_status#24, cd_education_status#25, cnt1#35, cd_purchase_estimate#26, cnt2#36, cd_credit_rating#27, cnt3#37, cd_dep_count#28, cnt4#38, cd_dep_employed_count#29, cnt5#39, cd_dep_college_count#30, cnt6#40]
Arguments: false

(73) TakeOrderedAndProjectExecTransformer
Input [14]: [cd_gender#23, cd_marital_status#24, cd_education_status#25, cnt1#35, cd_purchase_estimate#26, cnt2#36, cd_credit_rating#27, cnt3#37, cd_dep_count#28, cnt4#38, cd_dep_employed_count#29, cnt5#39, cd_dep_college_count#30, cnt6#40]
Arguments: 100, [cd_gender#23 ASC NULLS FIRST, cd_marital_status#24 ASC NULLS FIRST, cd_education_status#25 ASC NULLS FIRST, cd_purchase_estimate#26 ASC NULLS FIRST, cd_credit_rating#27 ASC NULLS FIRST, cd_dep_count#28 ASC NULLS FIRST, cd_dep_employed_count#29 ASC NULLS FIRST, cd_dep_college_count#30 ASC NULLS FIRST], [cd_gender#23, cd_marital_status#24, cd_education_status#25, cnt1#35, cd_purchase_estimate#26, cnt2#36, cd_credit_rating#27, cnt3#37, cd_dep_count#28, cnt4#38, cd_dep_employed_count#29, cnt5#39, cd_dep_college_count#30, cnt6#40], 0

(74) VeloxColumnarToRow
Input [14]: [cd_gender#23, cd_marital_status#24, cd_education_status#25, cnt1#35, cd_purchase_estimate#26, cnt2#36, cd_credit_rating#27, cnt3#37, cd_dep_count#28, cnt4#38, cd_dep_employed_count#29, cnt5#39, cd_dep_college_count#30, cnt6#40]

===== Subqueries =====

Subquery:1 Hosting operator id = 2 Hosting Expression = Subquery scalar-subquery#4, [id=#1]
VeloxColumnarToRow (86)
+- ^ RegularHashAggregateExecTransformer (84)
   +- ^ InputIteratorTransformer (83)
      +- ColumnarExchange (81)
         +- VeloxResizeBatches (80)
            +- ^ FlushableHashAggregateExecTransformer (78)
               +- ^ ProjectExecTransformer (77)
                  +- ^ FilterExecTransformer (76)
                     +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (75)


(75) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#20, ca_county#21]
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>

(76) FilterExecTransformer
Input [2]: [ca_address_sk#20, ca_county#21]
Arguments: (ca_county#21 IN (Walker County,Richland County,Gaines County,Douglas County,Dona Ana County) AND isnotnull(ca_address_sk#20))

(77) ProjectExecTransformer
Output [1]: [xxhash64(ca_address_sk#20, 42) AS _pre_1#41]
Input [2]: [ca_address_sk#20, ca_county#21]

(78) FlushableHashAggregateExecTransformer
Input [1]: [_pre_1#41]
Keys: []
Functions [1]: [partial_velox_bloom_filter_agg(_pre_1#41, 2555, 57765, 0, 0)]
Aggregate Attributes [1]: [buf#42]
Results [1]: [buf#43]

(79) WholeStageCodegenTransformer (1)
Input [1]: [buf#43]
Arguments: false

(80) VeloxResizeBatches
Input [1]: [buf#43]
Arguments: 1024, 2147483647, 10485760

(81) ColumnarExchange
Input [1]: [buf#43]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=8], [shuffle_writer_type=hash]

(82) InputAdapter
Input [1]: [buf#43]

(83) InputIteratorTransformer
Input [1]: [buf#43]

(84) RegularHashAggregateExecTransformer
Input [1]: [buf#43]
Keys: []
Functions [1]: [velox_bloom_filter_agg(xxhash64(ca_address_sk#20, 42), 2555, 57765, 0, 0)]
Aggregate Attributes [1]: [bloom_filter_agg(xxhash64(ca_address_sk#20, 42), 2555, 57765, 0, 0)#44]
Results [1]: [bloom_filter_agg(xxhash64(ca_address_sk#20, 42), 2555, 57765, 0, 0)#44 AS bloomFilter#45]

(85) WholeStageCodegenTransformer (2)
Input [1]: [bloomFilter#45]
Arguments: false

(86) VeloxColumnarToRow
Input [1]: [bloomFilter#45]

Subquery:2 Hosting operator id = 1 Hosting Expression = Subquery scalar-subquery#4, [id=#1]
VeloxColumnarToRow (86)
+- ^ RegularHashAggregateExecTransformer (84)
   +- ^ InputIteratorTransformer (83)
      +- ColumnarExchange (81)
         +- VeloxResizeBatches (80)
            +- ^ FlushableHashAggregateExecTransformer (78)
               +- ^ ProjectExecTransformer (77)
                  +- ^ FilterExecTransformer (76)
                     +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (75)


Subquery:3 Hosting operator id = 9 Hosting Expression = ss_sold_date_sk#7 IN dynamicpruning#8
ColumnarBroadcastExchange (91)
+- ^ ProjectExecTransformer (89)
   +- ^ FilterExecTransformer (88)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (87)


(87) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#9, d_year#46, d_moy#47]
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>

(88) FilterExecTransformer
Input [3]: [d_date_sk#9, d_year#46, d_moy#47]
Arguments: (((((isnotnull(d_year#46) AND isnotnull(d_moy#47)) AND (d_year#46 = 2002)) AND (d_moy#47 >= 4)) AND (d_moy#47 <= 7)) AND isnotnull(d_date_sk#9))

(89) ProjectExecTransformer
Output [1]: [d_date_sk#9]
Input [3]: [d_date_sk#9, d_year#46, d_moy#47]

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

(91) 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 = 21 Hosting Expression = ws_sold_date_sk#12 IN dynamicpruning#8

Subquery:5 Hosting operator id = 28 Hosting Expression = cs_sold_date_sk#16 IN dynamicpruning#8


