== Physical Plan ==
VeloxColumnarToRow (76)
+- TakeOrderedAndProjectExecTransformer (75)
   +- ^ FilterExecTransformer (73)
      +- ^ RegularHashAggregateExecTransformer (72)
         +- ^ InputIteratorTransformer (71)
            +- ColumnarExchange (69)
               +- VeloxResizeBatches (68)
                  +- ^ ProjectExecTransformer (66)
                     +- ^ FlushableHashAggregateExecTransformer (65)
                        +- ^ ProjectExecTransformer (64)
                           +- ^ ShuffledHashJoinExecTransformer Inner BuildRight (63)
                              :- ^ InputIteratorTransformer (39)
                              :  +- ColumnarExchange (37)
                              :     +- VeloxResizeBatches (36)
                              :        +- ^ ProjectExecTransformer (34)
                              :           +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (33)
                              :              :- ^ ProjectExecTransformer (29)
                              :              :  +- ^ BroadcastHashJoinExecTransformer Inner BuildLeft (28)
                              :              :     :- ^ InputIteratorTransformer (25)
                              :              :     :  +- ColumnarBroadcastExchange (23)
                              :              :     :     +- ^ ProjectExecTransformer (21)
                              :              :     :        +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (20)
                              :              :     :           :- ^ FilterExecTransformer (2)
                              :              :     :           :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (1)
                              :              :     :           +- ^ InputIteratorTransformer (19)
                              :              :     :              +- ColumnarBroadcastExchange (17)
                              :              :     :                 +- ^ FilterExecTransformer (15)
                              :              :     :                    +- ^ ProjectExecTransformer (14)
                              :              :     :                       +- ^ RegularHashAggregateExecTransformer (13)
                              :              :     :                          +- ^ InputIteratorTransformer (12)
                              :              :     :                             +- ColumnarExchange (10)
                              :              :     :                                +- VeloxResizeBatches (9)
                              :              :     :                                   +- ^ ProjectExecTransformer (7)
                              :              :     :                                      +- ^ FlushableHashAggregateExecTransformer (6)
                              :              :     :                                         +- ^ ProjectExecTransformer (5)
                              :              :     :                                            +- ^ FilterExecTransformer (4)
                              :              :     :                                               +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (3)
                              :              :     +- ^ FilterExecTransformer (27)
                              :              :        +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store_sales (26)
                              :              +- ^ InputIteratorTransformer (32)
                              :                 +- ReusedExchange (30)
                              +- ^ InputIteratorTransformer (62)
                                 +- ColumnarExchange (60)
                                    +- VeloxResizeBatches (59)
                                       +- ^ ProjectExecTransformer (57)
                                          +- ^ ShuffledHashJoinExecTransformer Inner BuildLeft (56)
                                             :- ^ InputIteratorTransformer (47)
                                             :  +- ColumnarExchange (45)
                                             :     +- VeloxResizeBatches (44)
                                             :        +- ^ ProjectExecTransformer (42)
                                             :           +- ^ FilterExecTransformer (41)
                                             :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (40)
                                             +- ^ InputIteratorTransformer (55)
                                                +- ColumnarExchange (53)
                                                   +- VeloxResizeBatches (52)
                                                      +- ^ ProjectExecTransformer (50)
                                                         +- ^ FilterExecTransformer (49)
                                                            +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer (48)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [3]: [i_item_sk#1, i_current_price#2, i_category#3]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_current_price), IsNotNull(i_category), IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_current_price:decimal(7,2),i_category:string>

(2) FilterExecTransformer
Input [3]: [i_item_sk#1, i_current_price#2, i_category#3]
Arguments: ((isnotnull(i_current_price#2) AND isnotnull(i_category#3)) AND isnotnull(i_item_sk#1))

(3) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [2]: [i_current_price#4, i_category#5]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_category)]
ReadSchema: struct<i_current_price:decimal(7,2),i_category:string>

(4) FilterExecTransformer
Input [2]: [i_current_price#4, i_category#5]
Arguments: isnotnull(i_category#5)

(5) ProjectExecTransformer
Output [2]: [i_category#5, UnscaledValue(i_current_price#4) AS _pre_1#6]
Input [2]: [i_current_price#4, i_category#5]

(6) FlushableHashAggregateExecTransformer
Input [2]: [i_category#5, _pre_1#6]
Keys [1]: [i_category#5]
Functions [1]: [partial_avg(_pre_1#6)]
Aggregate Attributes [2]: [sum#7, count#8]
Results [3]: [i_category#5, sum#9, count#10]

(7) ProjectExecTransformer
Output [4]: [hash(i_category#5, 42) AS hash_partition_key#11, i_category#5, sum#9, count#10]
Input [3]: [i_category#5, sum#9, count#10]

(8) WholeStageCodegenTransformer (1)
Input [4]: [hash_partition_key#11, i_category#5, sum#9, count#10]
Arguments: false

(9) VeloxResizeBatches
Input [4]: [hash_partition_key#11, i_category#5, sum#9, count#10]
Arguments: 1024, 2147483647, 10485760

(10) ColumnarExchange
Input [4]: [hash_partition_key#11, i_category#5, sum#9, count#10]
Arguments: hashpartitioning(i_category#5, 1), ENSURE_REQUIREMENTS, [i_category#5, sum#9, count#10], [plan_id=1], [shuffle_writer_type=hash]

(11) InputAdapter
Input [3]: [i_category#5, sum#9, count#10]

(12) InputIteratorTransformer
Input [3]: [i_category#5, sum#9, count#10]

(13) RegularHashAggregateExecTransformer
Input [3]: [i_category#5, sum#9, count#10]
Keys [1]: [i_category#5]
Functions [1]: [avg(UnscaledValue(i_current_price#4))]
Aggregate Attributes [1]: [avg(UnscaledValue(i_current_price#4))#12]
Results [2]: [i_category#5, avg(UnscaledValue(i_current_price#4))#12]

(14) ProjectExecTransformer
Output [2]: [cast((avg(UnscaledValue(i_current_price#4))#12 / 100.0) as decimal(11,6)) AS avg(i_current_price)#13, i_category#5]
Input [2]: [i_category#5, avg(UnscaledValue(i_current_price#4))#12]

(15) FilterExecTransformer
Input [2]: [avg(i_current_price)#13, i_category#5]
Arguments: isnotnull(avg(i_current_price)#13)

(16) WholeStageCodegenTransformer (2)
Input [2]: [avg(i_current_price)#13, i_category#5]
Arguments: false

(17) ColumnarBroadcastExchange
Input [2]: [avg(i_current_price)#13, i_category#5]
Arguments: HashedRelationBroadcastMode(List(input[1, string, true]),false), [plan_id=2]

(18) InputAdapter
Input [2]: [avg(i_current_price)#13, i_category#5]

(19) InputIteratorTransformer
Input [2]: [avg(i_current_price)#13, i_category#5]

(20) BroadcastHashJoinExecTransformer
Left keys [1]: [i_category#3]
Right keys [1]: [i_category#5]
Join type: Inner
Join condition: (cast(i_current_price#2 as decimal(14,7)) > (1.2 * avg(i_current_price)#13))

(21) ProjectExecTransformer
Output [1]: [i_item_sk#1]
Input [5]: [i_item_sk#1, i_current_price#2, i_category#3, avg(i_current_price)#13, i_category#5]

(22) WholeStageCodegenTransformer (3)
Input [1]: [i_item_sk#1]
Arguments: false

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

(24) InputAdapter
Input [1]: [i_item_sk#1]

(25) InputIteratorTransformer
Input [1]: [i_item_sk#1]

(26) FileSourceScanExecTransformer parquet spark_catalog.default.store_sales
Output [3]: [ss_item_sk#14, ss_customer_sk#15, ss_sold_date_sk#16]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#16), dynamicpruningexpression(ss_sold_date_sk#16 IN dynamicpruning#17)]
PushedFilters: [IsNotNull(ss_customer_sk), IsNotNull(ss_item_sk)]
ReadSchema: struct<ss_item_sk:int,ss_customer_sk:int>

(27) FilterExecTransformer
Input [3]: [ss_item_sk#14, ss_customer_sk#15, ss_sold_date_sk#16]
Arguments: (isnotnull(ss_customer_sk#15) AND isnotnull(ss_item_sk#14))

(28) BroadcastHashJoinExecTransformer
Left keys [1]: [i_item_sk#1]
Right keys [1]: [ss_item_sk#14]
Join type: Inner
Join condition: None

(29) ProjectExecTransformer
Output [2]: [ss_customer_sk#15, ss_sold_date_sk#16]
Input [4]: [i_item_sk#1, ss_item_sk#14, ss_customer_sk#15, ss_sold_date_sk#16]

(30) ReusedExchange [Reuses operator id: 81]
Output [1]: [d_date_sk#18]

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

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

(33) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_sold_date_sk#16]
Right keys [1]: [d_date_sk#18]
Join type: Inner
Join condition: None

(34) ProjectExecTransformer
Output [2]: [hash(ss_customer_sk#15, 42) AS hash_partition_key#19, ss_customer_sk#15]
Input [3]: [ss_customer_sk#15, ss_sold_date_sk#16, d_date_sk#18]

(35) WholeStageCodegenTransformer (14)
Input [2]: [hash_partition_key#19, ss_customer_sk#15]
Arguments: false

(36) VeloxResizeBatches
Input [2]: [hash_partition_key#19, ss_customer_sk#15]
Arguments: 1024, 2147483647, 10485760

(37) ColumnarExchange
Input [2]: [hash_partition_key#19, ss_customer_sk#15]
Arguments: hashpartitioning(ss_customer_sk#15, 1), ENSURE_REQUIREMENTS, [ss_customer_sk#15], [plan_id=4], [shuffle_writer_type=hash]

(38) InputAdapter
Input [1]: [ss_customer_sk#15]

(39) InputIteratorTransformer
Input [1]: [ss_customer_sk#15]

(40) 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>

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

(42) 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]

(43) WholeStageCodegenTransformer (15)
Input [3]: [hash_partition_key#22, ca_address_sk#20, ca_state#21]
Arguments: false

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

(45) 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]

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

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

(48) FileSourceScanExecTransformer parquet spark_catalog.default.customer
Output [2]: [c_customer_sk#23, c_current_addr_sk#24]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer]
PushedFilters: [IsNotNull(c_current_addr_sk), IsNotNull(c_customer_sk)]
ReadSchema: struct<c_customer_sk:int,c_current_addr_sk:int>

(49) FilterExecTransformer
Input [2]: [c_customer_sk#23, c_current_addr_sk#24]
Arguments: (isnotnull(c_current_addr_sk#24) AND isnotnull(c_customer_sk#23))

(50) ProjectExecTransformer
Output [3]: [hash(c_current_addr_sk#24, 42) AS hash_partition_key#25, c_customer_sk#23, c_current_addr_sk#24]
Input [2]: [c_customer_sk#23, c_current_addr_sk#24]

(51) WholeStageCodegenTransformer (16)
Input [3]: [hash_partition_key#25, c_customer_sk#23, c_current_addr_sk#24]
Arguments: false

(52) VeloxResizeBatches
Input [3]: [hash_partition_key#25, c_customer_sk#23, c_current_addr_sk#24]
Arguments: 1024, 2147483647, 10485760

(53) ColumnarExchange
Input [3]: [hash_partition_key#25, c_customer_sk#23, c_current_addr_sk#24]
Arguments: hashpartitioning(c_current_addr_sk#24, 1), ENSURE_REQUIREMENTS, [c_customer_sk#23, c_current_addr_sk#24], [plan_id=6], [shuffle_writer_type=hash]

(54) InputAdapter
Input [2]: [c_customer_sk#23, c_current_addr_sk#24]

(55) InputIteratorTransformer
Input [2]: [c_customer_sk#23, c_current_addr_sk#24]

(56) ShuffledHashJoinExecTransformer
Left keys [1]: [ca_address_sk#20]
Right keys [1]: [c_current_addr_sk#24]
Join type: Inner
Join condition: None

(57) ProjectExecTransformer
Output [3]: [hash(c_customer_sk#23, 42) AS hash_partition_key#26, ca_state#21, c_customer_sk#23]
Input [4]: [ca_address_sk#20, ca_state#21, c_customer_sk#23, c_current_addr_sk#24]

(58) WholeStageCodegenTransformer (17)
Input [3]: [hash_partition_key#26, ca_state#21, c_customer_sk#23]
Arguments: false

(59) VeloxResizeBatches
Input [3]: [hash_partition_key#26, ca_state#21, c_customer_sk#23]
Arguments: 1024, 2147483647, 10485760

(60) ColumnarExchange
Input [3]: [hash_partition_key#26, ca_state#21, c_customer_sk#23]
Arguments: hashpartitioning(c_customer_sk#23, 1), ENSURE_REQUIREMENTS, [ca_state#21, c_customer_sk#23], [plan_id=7], [shuffle_writer_type=hash]

(61) InputAdapter
Input [2]: [ca_state#21, c_customer_sk#23]

(62) InputIteratorTransformer
Input [2]: [ca_state#21, c_customer_sk#23]

(63) ShuffledHashJoinExecTransformer
Left keys [1]: [ss_customer_sk#15]
Right keys [1]: [c_customer_sk#23]
Join type: Inner
Join condition: None

(64) ProjectExecTransformer
Output [1]: [ca_state#21]
Input [3]: [ss_customer_sk#15, ca_state#21, c_customer_sk#23]

(65) FlushableHashAggregateExecTransformer
Input [1]: [ca_state#21]
Keys [1]: [ca_state#21]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#27]
Results [2]: [ca_state#21, count#28]

(66) ProjectExecTransformer
Output [3]: [hash(ca_state#21, 42) AS hash_partition_key#29, ca_state#21, count#28]
Input [2]: [ca_state#21, count#28]

(67) WholeStageCodegenTransformer (18)
Input [3]: [hash_partition_key#29, ca_state#21, count#28]
Arguments: false

(68) VeloxResizeBatches
Input [3]: [hash_partition_key#29, ca_state#21, count#28]
Arguments: 1024, 2147483647, 10485760

(69) ColumnarExchange
Input [3]: [hash_partition_key#29, ca_state#21, count#28]
Arguments: hashpartitioning(ca_state#21, 1), ENSURE_REQUIREMENTS, [ca_state#21, count#28], [plan_id=8], [shuffle_writer_type=hash]

(70) InputAdapter
Input [2]: [ca_state#21, count#28]

(71) InputIteratorTransformer
Input [2]: [ca_state#21, count#28]

(72) RegularHashAggregateExecTransformer
Input [2]: [ca_state#21, count#28]
Keys [1]: [ca_state#21]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#30]
Results [2]: [ca_state#21 AS state#31, count(1)#30 AS cnt#32]

(73) FilterExecTransformer
Input [2]: [state#31, cnt#32]
Arguments: (cnt#32 >= 10)

(74) WholeStageCodegenTransformer (19)
Input [2]: [state#31, cnt#32]
Arguments: false

(75) TakeOrderedAndProjectExecTransformer
Input [2]: [state#31, cnt#32]
Arguments: 100, [cnt#32 ASC NULLS FIRST, state#31 ASC NULLS FIRST], [state#31, cnt#32], 0

(76) VeloxColumnarToRow
Input [2]: [state#31, cnt#32]

===== Subqueries =====

Subquery:1 Hosting operator id = 26 Hosting Expression = ss_sold_date_sk#16 IN dynamicpruning#17
ColumnarBroadcastExchange (81)
+- ^ ProjectExecTransformer (79)
   +- ^ FilterExecTransformer (78)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (77)


(77) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#18, d_month_seq#33]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_month_seq), EqualTo(d_month_seq,ScalarSubquery#34), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_month_seq:int>

(78) FilterExecTransformer
Input [2]: [d_date_sk#18, d_month_seq#33]
Arguments: ((isnotnull(d_month_seq#33) AND (d_month_seq#33 = ReusedSubquery Subquery scalar-subquery#34, [id=#9])) AND isnotnull(d_date_sk#18))

(79) ProjectExecTransformer
Output [1]: [d_date_sk#18]
Input [2]: [d_date_sk#18, d_month_seq#33]

(80) WholeStageCodegenTransformer (8)
Input [1]: [d_date_sk#18]
Arguments: false

(81) ColumnarBroadcastExchange
Input [1]: [d_date_sk#18]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=10]

Subquery:2 Hosting operator id = 78 Hosting Expression = ReusedSubquery Subquery scalar-subquery#34, [id=#9]

Subquery:3 Hosting operator id = 77 Hosting Expression = Subquery scalar-subquery#34, [id=#9]
VeloxColumnarToRow (94)
+- ^ RegularHashAggregateExecTransformer (92)
   +- ^ InputIteratorTransformer (91)
      +- ColumnarExchange (89)
         +- VeloxResizeBatches (88)
            +- ^ ProjectExecTransformer (86)
               +- ^ FlushableHashAggregateExecTransformer (85)
                  +- ^ ProjectExecTransformer (84)
                     +- ^ FilterExecTransformer (83)
                        +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (82)


(82) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_month_seq#35, d_year#36, d_moy#37]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,1)]
ReadSchema: struct<d_month_seq:int,d_year:int,d_moy:int>

(83) FilterExecTransformer
Input [3]: [d_month_seq#35, d_year#36, d_moy#37]
Arguments: (((isnotnull(d_year#36) AND isnotnull(d_moy#37)) AND (d_year#36 = 2000)) AND (d_moy#37 = 1))

(84) ProjectExecTransformer
Output [1]: [d_month_seq#35]
Input [3]: [d_month_seq#35, d_year#36, d_moy#37]

(85) FlushableHashAggregateExecTransformer
Input [1]: [d_month_seq#35]
Keys [1]: [d_month_seq#35]
Functions: []
Aggregate Attributes: []
Results [1]: [d_month_seq#35]

(86) ProjectExecTransformer
Output [2]: [hash(d_month_seq#35, 42) AS hash_partition_key#38, d_month_seq#35]
Input [1]: [d_month_seq#35]

(87) WholeStageCodegenTransformer (6)
Input [2]: [hash_partition_key#38, d_month_seq#35]
Arguments: false

(88) VeloxResizeBatches
Input [2]: [hash_partition_key#38, d_month_seq#35]
Arguments: 1024, 2147483647, 10485760

(89) ColumnarExchange
Input [2]: [hash_partition_key#38, d_month_seq#35]
Arguments: hashpartitioning(d_month_seq#35, 1), ENSURE_REQUIREMENTS, [d_month_seq#35], [plan_id=11], [shuffle_writer_type=hash]

(90) InputAdapter
Input [1]: [d_month_seq#35]

(91) InputIteratorTransformer
Input [1]: [d_month_seq#35]

(92) RegularHashAggregateExecTransformer
Input [1]: [d_month_seq#35]
Keys [1]: [d_month_seq#35]
Functions: []
Aggregate Attributes: []
Results [1]: [d_month_seq#35]

(93) WholeStageCodegenTransformer (7)
Input [1]: [d_month_seq#35]
Arguments: false

(94) VeloxColumnarToRow
Input [1]: [d_month_seq#35]

Subquery:4 Hosting operator id = 77 Hosting Expression = ReusedSubquery Subquery scalar-subquery#34, [id=#9]


