== Physical Plan ==
VeloxColumnarToRow (87)
+- TakeOrderedAndProjectExecTransformer (86)
   +- ^ ProjectExecTransformer (84)
      +- ^ RegularHashAggregateExecTransformer (83)
         +- ^ InputIteratorTransformer (82)
            +- ColumnarExchange (80)
               +- VeloxResizeBatches (79)
                  +- ^ ProjectExecTransformer (77)
                     +- ^ FlushableHashAggregateExecTransformer (76)
                        +- ^ ProjectExecTransformer (75)
                           +- ^ ShuffledHashJoinExecTransformer Inner BuildLeft (74)
                              :- ^ InputIteratorTransformer (65)
                              :  +- ColumnarExchange (63)
                              :     +- VeloxResizeBatches (62)
                              :        +- ^ ProjectExecTransformer (60)
                              :           +- ^ ShuffledHashJoinExecTransformer Inner BuildRight (59)
                              :              :- ^ InputIteratorTransformer (50)
                              :              :  +- ColumnarExchange (48)
                              :              :     +- VeloxResizeBatches (47)
                              :              :        +- ^ 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 (58)
                              :                 +- ColumnarExchange (56)
                              :                    +- VeloxResizeBatches (55)
                              :                       +- ^ ProjectExecTransformer (53)
                              :                          +- ^ FilterExecTransformer (52)
                              :                             +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (51)
                              +- ^ InputIteratorTransformer (73)
                                 +- ColumnarExchange (71)
                                    +- VeloxResizeBatches (70)
                                       +- ^ ProjectExecTransformer (68)
                                          +- ^ FilterExecTransformer (67)
                                             +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_demographics (66)


(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) ProjectExecTransformer
Output [4]: [hash(c_customer_sk#1, 42) AS hash_partition_key#4, 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 (1)
Input [4]: [hash_partition_key#4, c_customer_sk#1, c_current_cdemo_sk#2, c_current_addr_sk#3]
Arguments: false

(5) VeloxResizeBatches
Input [4]: [hash_partition_key#4, 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#4, 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=1], [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#5, ss_sold_date_sk#6]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#6), dynamicpruningexpression(ss_sold_date_sk#6 IN dynamicpruning#7)]
ReadSchema: struct<ss_customer_sk:int>

(10) ReusedExchange [Reuses operator id: 92]
Output [1]: [d_date_sk#8]

(11) InputAdapter
Input [1]: [d_date_sk#8]

(12) InputIteratorTransformer
Input [1]: [d_date_sk#8]

(13) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_sold_date_sk#6]
Right keys [1]: [d_date_sk#8]
Join type: Inner
Join condition: None

(14) ProjectExecTransformer
Output [2]: [hash(ss_customer_sk#5, 42) AS hash_partition_key#9, ss_customer_sk#5]
Input [3]: [ss_customer_sk#5, ss_sold_date_sk#6, d_date_sk#8]

(15) WholeStageCodegenTransformer (4)
Input [2]: [hash_partition_key#9, ss_customer_sk#5]
Arguments: false

(16) VeloxResizeBatches
Input [2]: [hash_partition_key#9, ss_customer_sk#5]
Arguments: 1024, 2147483647, 10485760

(17) ColumnarExchange
Input [2]: [hash_partition_key#9, ss_customer_sk#5]
Arguments: hashpartitioning(ss_customer_sk#5, 1), ENSURE_REQUIREMENTS, [ss_customer_sk#5], [plan_id=2], [shuffle_writer_type=hash]

(18) InputAdapter
Input [1]: [ss_customer_sk#5]

(19) InputIteratorTransformer
Input [1]: [ss_customer_sk#5]

(20) ShuffledHashJoinExecTransformer
Left keys [1]: [c_customer_sk#1]
Right keys [1]: [ss_customer_sk#5]
Join type: LeftSemi
Join condition: None

(21) FileSourceScanExecTransformer parquet spark_catalog.default.web_sales
Output [2]: [ws_bill_customer_sk#10, ws_sold_date_sk#11]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#11), dynamicpruningexpression(ws_sold_date_sk#11 IN dynamicpruning#7)]
ReadSchema: struct<ws_bill_customer_sk:int>

(22) ReusedExchange [Reuses operator id: 92]
Output [1]: [d_date_sk#12]

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

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

(25) BroadcastHashJoinExecTransformer
Left keys [1]: [ws_sold_date_sk#11]
Right keys [1]: [d_date_sk#12]
Join type: Inner
Join condition: None

(26) ProjectExecTransformer
Output [1]: [ws_bill_customer_sk#10 AS customsk#13]
Input [3]: [ws_bill_customer_sk#10, ws_sold_date_sk#11, d_date_sk#12]

(27) WholeStageCodegenTransformer (7)
Input [1]: [customsk#13]
Arguments: false

(28) FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales
Output [2]: [cs_ship_customer_sk#14, cs_sold_date_sk#15]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#15), dynamicpruningexpression(cs_sold_date_sk#15 IN dynamicpruning#7)]
ReadSchema: struct<cs_ship_customer_sk:int>

(29) ReusedExchange [Reuses operator id: 92]
Output [1]: [d_date_sk#16]

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

(31) InputIteratorTransformer
Input [1]: [d_date_sk#16]

(32) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_sold_date_sk#15]
Right keys [1]: [d_date_sk#16]
Join type: Inner
Join condition: None

(33) ProjectExecTransformer
Output [1]: [cs_ship_customer_sk#14 AS customsk#17]
Input [3]: [cs_ship_customer_sk#14, cs_sold_date_sk#15, d_date_sk#16]

(34) WholeStageCodegenTransformer (10)
Input [1]: [customsk#17]
Arguments: false

(35) ColumnarUnion
Arguments: UnknownPartitioning(0)

(36) InputAdapter
Input [1]: [customsk#13]

(37) InputIteratorTransformer
Input [1]: [customsk#13]

(38) ProjectExecTransformer
Output [2]: [hash(customsk#13, 42) AS hash_partition_key#18, customsk#13]
Input [1]: [customsk#13]

(39) WholeStageCodegenTransformer (11)
Input [2]: [hash_partition_key#18, customsk#13]
Arguments: false

(40) VeloxResizeBatches
Input [2]: [hash_partition_key#18, customsk#13]
Arguments: 1024, 2147483647, 10485760

(41) ColumnarExchange
Input [2]: [hash_partition_key#18, customsk#13]
Arguments: hashpartitioning(customsk#13, 1), ENSURE_REQUIREMENTS, [customsk#13], [plan_id=3], [shuffle_writer_type=hash]

(42) InputAdapter
Input [1]: [customsk#13]

(43) InputIteratorTransformer
Input [1]: [customsk#13]

(44) ShuffledHashJoinExecTransformer
Left keys [1]: [c_customer_sk#1]
Right keys [1]: [customsk#13]
Join type: LeftSemi
Join condition: None

(45) ProjectExecTransformer
Output [3]: [hash(c_current_addr_sk#3, 42) AS hash_partition_key#19, 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) WholeStageCodegenTransformer (12)
Input [3]: [hash_partition_key#19, c_current_cdemo_sk#2, c_current_addr_sk#3]
Arguments: false

(47) VeloxResizeBatches
Input [3]: [hash_partition_key#19, c_current_cdemo_sk#2, c_current_addr_sk#3]
Arguments: 1024, 2147483647, 10485760

(48) ColumnarExchange
Input [3]: [hash_partition_key#19, c_current_cdemo_sk#2, c_current_addr_sk#3]
Arguments: hashpartitioning(c_current_addr_sk#3, 1), ENSURE_REQUIREMENTS, [c_current_cdemo_sk#2, c_current_addr_sk#3], [plan_id=4], [shuffle_writer_type=hash]

(49) InputAdapter
Input [2]: [c_current_cdemo_sk#2, c_current_addr_sk#3]

(50) InputIteratorTransformer
Input [2]: [c_current_cdemo_sk#2, c_current_addr_sk#3]

(51) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#20, ca_state#21]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_state:string>

(52) FilterExecTransformer
Input [2]: [ca_address_sk#20, ca_state#21]
Arguments: isnotnull(ca_address_sk#20)

(53) ProjectExecTransformer
Output [3]: [hash(ca_address_sk#20, 42) AS hash_partition_key#22, ca_address_sk#20, ca_state#21]
Input [2]: [ca_address_sk#20, ca_state#21]

(54) WholeStageCodegenTransformer (13)
Input [3]: [hash_partition_key#22, ca_address_sk#20, ca_state#21]
Arguments: false

(55) VeloxResizeBatches
Input [3]: [hash_partition_key#22, ca_address_sk#20, ca_state#21]
Arguments: 1024, 2147483647, 10485760

(56) ColumnarExchange
Input [3]: [hash_partition_key#22, ca_address_sk#20, ca_state#21]
Arguments: hashpartitioning(ca_address_sk#20, 1), ENSURE_REQUIREMENTS, [ca_address_sk#20, ca_state#21], [plan_id=5], [shuffle_writer_type=hash]

(57) InputAdapter
Input [2]: [ca_address_sk#20, ca_state#21]

(58) InputIteratorTransformer
Input [2]: [ca_address_sk#20, ca_state#21]

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

(60) ProjectExecTransformer
Output [3]: [hash(c_current_cdemo_sk#2, 42) AS hash_partition_key#23, c_current_cdemo_sk#2, ca_state#21]
Input [4]: [c_current_cdemo_sk#2, c_current_addr_sk#3, ca_address_sk#20, ca_state#21]

(61) WholeStageCodegenTransformer (14)
Input [3]: [hash_partition_key#23, c_current_cdemo_sk#2, ca_state#21]
Arguments: false

(62) VeloxResizeBatches
Input [3]: [hash_partition_key#23, c_current_cdemo_sk#2, ca_state#21]
Arguments: 1024, 2147483647, 10485760

(63) ColumnarExchange
Input [3]: [hash_partition_key#23, c_current_cdemo_sk#2, ca_state#21]
Arguments: hashpartitioning(c_current_cdemo_sk#2, 1), ENSURE_REQUIREMENTS, [c_current_cdemo_sk#2, ca_state#21], [plan_id=6], [shuffle_writer_type=hash]

(64) InputAdapter
Input [2]: [c_current_cdemo_sk#2, ca_state#21]

(65) InputIteratorTransformer
Input [2]: [c_current_cdemo_sk#2, ca_state#21]

(66) FileSourceScanExecTransformer parquet spark_catalog.default.customer_demographics
Output [6]: [cd_demo_sk#24, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]
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_dep_count:int,cd_dep_employed_count:int,cd_dep_college_count:int>

(67) FilterExecTransformer
Input [6]: [cd_demo_sk#24, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]
Arguments: isnotnull(cd_demo_sk#24)

(68) ProjectExecTransformer
Output [7]: [hash(cd_demo_sk#24, 42) AS hash_partition_key#30, cd_demo_sk#24, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]
Input [6]: [cd_demo_sk#24, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]

(69) WholeStageCodegenTransformer (15)
Input [7]: [hash_partition_key#30, cd_demo_sk#24, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]
Arguments: false

(70) VeloxResizeBatches
Input [7]: [hash_partition_key#30, cd_demo_sk#24, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]
Arguments: 1024, 2147483647, 10485760

(71) ColumnarExchange
Input [7]: [hash_partition_key#30, cd_demo_sk#24, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]
Arguments: hashpartitioning(cd_demo_sk#24, 1), ENSURE_REQUIREMENTS, [cd_demo_sk#24, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29], [plan_id=7], [shuffle_writer_type=hash]

(72) InputAdapter
Input [6]: [cd_demo_sk#24, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]

(73) InputIteratorTransformer
Input [6]: [cd_demo_sk#24, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]

(74) ShuffledHashJoinExecTransformer
Left keys [1]: [c_current_cdemo_sk#2]
Right keys [1]: [cd_demo_sk#24]
Join type: Inner
Join condition: None

(75) ProjectExecTransformer
Output [6]: [ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]
Input [8]: [c_current_cdemo_sk#2, ca_state#21, cd_demo_sk#24, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]

(76) FlushableHashAggregateExecTransformer
Input [6]: [ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]
Keys [6]: [ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]
Functions [10]: [partial_count(1), partial_avg(cd_dep_count#27), partial_max(cd_dep_count#27), partial_sum(cd_dep_count#27), partial_avg(cd_dep_employed_count#28), partial_max(cd_dep_employed_count#28), partial_sum(cd_dep_employed_count#28), partial_avg(cd_dep_college_count#29), partial_max(cd_dep_college_count#29), partial_sum(cd_dep_college_count#29)]
Aggregate Attributes [13]: [count#31, sum#32, count#33, max#34, sum#35, sum#36, count#37, max#38, sum#39, sum#40, count#41, max#42, sum#43]
Results [19]: [ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56]

(77) ProjectExecTransformer
Output [20]: [hash(ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29, 42) AS hash_partition_key#57, ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56]
Input [19]: [ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56]

(78) WholeStageCodegenTransformer (16)
Input [20]: [hash_partition_key#57, ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56]
Arguments: false

(79) VeloxResizeBatches
Input [20]: [hash_partition_key#57, ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56]
Arguments: 1024, 2147483647, 10485760

(80) ColumnarExchange
Input [20]: [hash_partition_key#57, ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56]
Arguments: hashpartitioning(ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29, 1), ENSURE_REQUIREMENTS, [ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56], [plan_id=8], [shuffle_writer_type=hash]

(81) InputAdapter
Input [19]: [ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56]

(82) InputIteratorTransformer
Input [19]: [ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56]

(83) RegularHashAggregateExecTransformer
Input [19]: [ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56]
Keys [6]: [ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29]
Functions [10]: [count(1), avg(cd_dep_count#27), max(cd_dep_count#27), sum(cd_dep_count#27), avg(cd_dep_employed_count#28), max(cd_dep_employed_count#28), sum(cd_dep_employed_count#28), avg(cd_dep_college_count#29), max(cd_dep_college_count#29), sum(cd_dep_college_count#29)]
Aggregate Attributes [10]: [count(1)#58, avg(cd_dep_count#27)#59, max(cd_dep_count#27)#60, sum(cd_dep_count#27)#61, avg(cd_dep_employed_count#28)#62, max(cd_dep_employed_count#28)#63, sum(cd_dep_employed_count#28)#64, avg(cd_dep_college_count#29)#65, max(cd_dep_college_count#29)#66, sum(cd_dep_college_count#29)#67]
Results [16]: [ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29, count(1)#58, avg(cd_dep_count#27)#59, max(cd_dep_count#27)#60, sum(cd_dep_count#27)#61, avg(cd_dep_employed_count#28)#62, max(cd_dep_employed_count#28)#63, sum(cd_dep_employed_count#28)#64, avg(cd_dep_college_count#29)#65, max(cd_dep_college_count#29)#66, sum(cd_dep_college_count#29)#67]

(84) ProjectExecTransformer
Output [18]: [ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, count(1)#58 AS cnt1#68, avg(cd_dep_count#27)#59 AS avg(cd_dep_count)#69, max(cd_dep_count#27)#60 AS max(cd_dep_count)#70, sum(cd_dep_count#27)#61 AS sum(cd_dep_count)#71, cd_dep_employed_count#28, count(1)#58 AS cnt2#72, avg(cd_dep_employed_count#28)#62 AS avg(cd_dep_employed_count)#73, max(cd_dep_employed_count#28)#63 AS max(cd_dep_employed_count)#74, sum(cd_dep_employed_count#28)#64 AS sum(cd_dep_employed_count)#75, cd_dep_college_count#29, count(1)#58 AS cnt3#76, avg(cd_dep_college_count#29)#65 AS avg(cd_dep_college_count)#77, max(cd_dep_college_count#29)#66 AS max(cd_dep_college_count)#78, sum(cd_dep_college_count#29)#67 AS sum(cd_dep_college_count)#79]
Input [16]: [ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cd_dep_employed_count#28, cd_dep_college_count#29, count(1)#58, avg(cd_dep_count#27)#59, max(cd_dep_count#27)#60, sum(cd_dep_count#27)#61, avg(cd_dep_employed_count#28)#62, max(cd_dep_employed_count#28)#63, sum(cd_dep_employed_count#28)#64, avg(cd_dep_college_count#29)#65, max(cd_dep_college_count#29)#66, sum(cd_dep_college_count#29)#67]

(85) WholeStageCodegenTransformer (17)
Input [18]: [ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cnt1#68, avg(cd_dep_count)#69, max(cd_dep_count)#70, sum(cd_dep_count)#71, cd_dep_employed_count#28, cnt2#72, avg(cd_dep_employed_count)#73, max(cd_dep_employed_count)#74, sum(cd_dep_employed_count)#75, cd_dep_college_count#29, cnt3#76, avg(cd_dep_college_count)#77, max(cd_dep_college_count)#78, sum(cd_dep_college_count)#79]
Arguments: false

(86) TakeOrderedAndProjectExecTransformer
Input [18]: [ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cnt1#68, avg(cd_dep_count)#69, max(cd_dep_count)#70, sum(cd_dep_count)#71, cd_dep_employed_count#28, cnt2#72, avg(cd_dep_employed_count)#73, max(cd_dep_employed_count)#74, sum(cd_dep_employed_count)#75, cd_dep_college_count#29, cnt3#76, avg(cd_dep_college_count)#77, max(cd_dep_college_count)#78, sum(cd_dep_college_count)#79]
Arguments: 100, [ca_state#21 ASC NULLS FIRST, cd_gender#25 ASC NULLS FIRST, cd_marital_status#26 ASC NULLS FIRST, cd_dep_count#27 ASC NULLS FIRST, cd_dep_employed_count#28 ASC NULLS FIRST, cd_dep_college_count#29 ASC NULLS FIRST], [ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cnt1#68, avg(cd_dep_count)#69, max(cd_dep_count)#70, sum(cd_dep_count)#71, cd_dep_employed_count#28, cnt2#72, avg(cd_dep_employed_count)#73, max(cd_dep_employed_count)#74, sum(cd_dep_employed_count)#75, cd_dep_college_count#29, cnt3#76, avg(cd_dep_college_count)#77, max(cd_dep_college_count)#78, sum(cd_dep_college_count)#79], 0

(87) VeloxColumnarToRow
Input [18]: [ca_state#21, cd_gender#25, cd_marital_status#26, cd_dep_count#27, cnt1#68, avg(cd_dep_count)#69, max(cd_dep_count)#70, sum(cd_dep_count)#71, cd_dep_employed_count#28, cnt2#72, avg(cd_dep_employed_count)#73, max(cd_dep_employed_count)#74, sum(cd_dep_employed_count)#75, cd_dep_college_count#29, cnt3#76, avg(cd_dep_college_count)#77, max(cd_dep_college_count)#78, sum(cd_dep_college_count)#79]

===== Subqueries =====

Subquery:1 Hosting operator id = 9 Hosting Expression = ss_sold_date_sk#6 IN dynamicpruning#7
ColumnarBroadcastExchange (92)
+- ^ ProjectExecTransformer (90)
   +- ^ FilterExecTransformer (89)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (88)


(88) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#8, d_year#80, d_qoy#81]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), IsNotNull(d_qoy), EqualTo(d_year,1999), LessThan(d_qoy,4), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_qoy:int>

(89) FilterExecTransformer
Input [3]: [d_date_sk#8, d_year#80, d_qoy#81]
Arguments: ((((isnotnull(d_year#80) AND isnotnull(d_qoy#81)) AND (d_year#80 = 1999)) AND (d_qoy#81 < 4)) AND isnotnull(d_date_sk#8))

(90) ProjectExecTransformer
Output [1]: [d_date_sk#8]
Input [3]: [d_date_sk#8, d_year#80, d_qoy#81]

(91) WholeStageCodegenTransformer (2)
Input [1]: [d_date_sk#8]
Arguments: false

(92) ColumnarBroadcastExchange
Input [1]: [d_date_sk#8]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9]

Subquery:2 Hosting operator id = 21 Hosting Expression = ws_sold_date_sk#11 IN dynamicpruning#7

Subquery:3 Hosting operator id = 28 Hosting Expression = cs_sold_date_sk#15 IN dynamicpruning#7


