== 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 LeftAnti BuildRight (35)
                              :     :     :- ^ BroadcastHashJoinExecTransformer LeftAnti BuildRight (24)
                              :     :     :  :- ^ 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 (23)
                              :     :     :     +- ColumnarBroadcastExchange (21)
                              :     :     :        +- ^ ProjectExecTransformer (19)
                              :     :     :           +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (18)
                              :     :     :              :- ^ FileSourceScanExecTransformer parquet spark_catalog.default.web_sales (14)
                              :     :     :              +- ^ InputIteratorTransformer (17)
                              :     :     :                 +- ReusedExchange (15)
                              :     :     +- ^ InputIteratorTransformer (34)
                              :     :        +- ColumnarBroadcastExchange (32)
                              :     :           +- ^ ProjectExecTransformer (30)
                              :     :              +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (29)
                              :     :                 :- ^ FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales (25)
                              :     :                 +- ^ 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_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: 70]
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: 70]
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]
Input [3]: [ws_bill_customer_sk#8, ws_sold_date_sk#9, d_date_sk#10]

(20) WholeStageCodegenTransformer (6)
Input [1]: [ws_bill_customer_sk#8]
Arguments: false

(21) ColumnarBroadcastExchange
Input [1]: [ws_bill_customer_sk#8]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]

(22) InputAdapter
Input [1]: [ws_bill_customer_sk#8]

(23) InputIteratorTransformer
Input [1]: [ws_bill_customer_sk#8]

(24) BroadcastHashJoinExecTransformer
Left keys [1]: [c_customer_sk#1]
Right keys [1]: [ws_bill_customer_sk#8]
Join type: LeftAnti
Join condition: None

(25) 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#6)]
ReadSchema: struct<cs_ship_customer_sk:int>

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

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

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

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

(30) ProjectExecTransformer
Output [1]: [cs_ship_customer_sk#11]
Input [3]: [cs_ship_customer_sk#11, cs_sold_date_sk#12, d_date_sk#13]

(31) WholeStageCodegenTransformer (9)
Input [1]: [cs_ship_customer_sk#11]
Arguments: false

(32) ColumnarBroadcastExchange
Input [1]: [cs_ship_customer_sk#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]

(33) InputAdapter
Input [1]: [cs_ship_customer_sk#11]

(34) InputIteratorTransformer
Input [1]: [cs_ship_customer_sk#11]

(35) BroadcastHashJoinExecTransformer
Left keys [1]: [c_customer_sk#1]
Right keys [1]: [cs_ship_customer_sk#11]
Join type: LeftAnti
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#14, ca_state#15]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer_address]
PushedFilters: [In(ca_state, [GA,KY,NM]), IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_state:string>

(38) FilterExecTransformer
Input [2]: [ca_address_sk#14, ca_state#15]
Arguments: (ca_state#15 IN (KY,GA,NM) AND isnotnull(ca_address_sk#14))

(39) ProjectExecTransformer
Output [1]: [ca_address_sk#14]
Input [2]: [ca_address_sk#14, ca_state#15]

(40) WholeStageCodegenTransformer (10)
Input [1]: [ca_address_sk#14]
Arguments: false

(41) ColumnarBroadcastExchange
Input [1]: [ca_address_sk#14]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4]

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

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

(44) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_addr_sk#3]
Right keys [1]: [ca_address_sk#14]
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#14]

(46) FileSourceScanExecTransformer parquet spark_catalog.default.customer_demographics
Output [6]: [cd_demo_sk#16, cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21]
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>

(47) FilterExecTransformer
Input [6]: [cd_demo_sk#16, cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21]
Arguments: isnotnull(cd_demo_sk#16)

(48) WholeStageCodegenTransformer (11)
Input [6]: [cd_demo_sk#16, cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21]
Arguments: false

(49) ColumnarBroadcastExchange
Input [6]: [cd_demo_sk#16, cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5]

(50) InputAdapter
Input [6]: [cd_demo_sk#16, cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21]

(51) InputIteratorTransformer
Input [6]: [cd_demo_sk#16, cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21]

(52) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_cdemo_sk#2]
Right keys [1]: [cd_demo_sk#16]
Join type: Inner
Join condition: None

(53) ProjectExecTransformer
Output [5]: [cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21]
Input [7]: [c_current_cdemo_sk#2, cd_demo_sk#16, cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21]

(54) FlushableHashAggregateExecTransformer
Input [5]: [cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21]
Keys [5]: [cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#22]
Results [6]: [cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21, count#23]

(55) ProjectExecTransformer
Output [7]: [hash(cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21, 42) AS hash_partition_key#24, cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21, count#23]
Input [6]: [cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21, count#23]

(56) WholeStageCodegenTransformer (12)
Input [7]: [hash_partition_key#24, cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21, count#23]
Arguments: false

(57) VeloxResizeBatches
Input [7]: [hash_partition_key#24, cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21, count#23]
Arguments: 1024, 2147483647, 10485760

(58) ColumnarExchange
Input [7]: [hash_partition_key#24, cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21, count#23]
Arguments: hashpartitioning(cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21, 1), ENSURE_REQUIREMENTS, [cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21, count#23], [plan_id=6], [shuffle_writer_type=hash]

(59) InputAdapter
Input [6]: [cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21, count#23]

(60) InputIteratorTransformer
Input [6]: [cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21, count#23]

(61) RegularHashAggregateExecTransformer
Input [6]: [cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21, count#23]
Keys [5]: [cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#25]
Results [6]: [cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21, count(1)#25]

(62) ProjectExecTransformer
Output [8]: [cd_gender#17, cd_marital_status#18, cd_education_status#19, count(1)#25 AS cnt1#26, cd_purchase_estimate#20, count(1)#25 AS cnt2#27, cd_credit_rating#21, count(1)#25 AS cnt3#28]
Input [6]: [cd_gender#17, cd_marital_status#18, cd_education_status#19, cd_purchase_estimate#20, cd_credit_rating#21, count(1)#25]

(63) WholeStageCodegenTransformer (13)
Input [8]: [cd_gender#17, cd_marital_status#18, cd_education_status#19, cnt1#26, cd_purchase_estimate#20, cnt2#27, cd_credit_rating#21, cnt3#28]
Arguments: false

(64) TakeOrderedAndProjectExecTransformer
Input [8]: [cd_gender#17, cd_marital_status#18, cd_education_status#19, cnt1#26, cd_purchase_estimate#20, cnt2#27, cd_credit_rating#21, cnt3#28]
Arguments: 100, [cd_gender#17 ASC NULLS FIRST, cd_marital_status#18 ASC NULLS FIRST, cd_education_status#19 ASC NULLS FIRST, cd_purchase_estimate#20 ASC NULLS FIRST, cd_credit_rating#21 ASC NULLS FIRST], [cd_gender#17, cd_marital_status#18, cd_education_status#19, cnt1#26, cd_purchase_estimate#20, cnt2#27, cd_credit_rating#21, cnt3#28], 0

(65) VeloxColumnarToRow
Input [8]: [cd_gender#17, cd_marital_status#18, cd_education_status#19, cnt1#26, cd_purchase_estimate#20, cnt2#27, cd_credit_rating#21, cnt3#28]

===== Subqueries =====

Subquery:1 Hosting operator id = 3 Hosting Expression = ss_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#29, d_moy#30]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), GreaterThanOrEqual(d_moy,4), LessThanOrEqual(d_moy,6), 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#29, d_moy#30]
Arguments: (((((isnotnull(d_year#29) AND isnotnull(d_moy#30)) AND (d_year#29 = 2001)) AND (d_moy#30 >= 4)) AND (d_moy#30 <= 6)) AND isnotnull(d_date_sk#7))

(68) ProjectExecTransformer
Output [1]: [d_date_sk#7]
Input [3]: [d_date_sk#7, d_year#29, d_moy#30]

(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=7]

Subquery:2 Hosting operator id = 14 Hosting Expression = ws_sold_date_sk#9 IN dynamicpruning#6

Subquery:3 Hosting operator id = 25 Hosting Expression = cs_sold_date_sk#12 IN dynamicpruning#6


