== Physical Plan ==
VeloxColumnarToRow (62)
+- TakeOrderedAndProjectExecTransformer (61)
   +- ^ FilterExecTransformer (59)
      +- ^ RegularHashAggregateExecTransformer (58)
         +- ^ InputIteratorTransformer (57)
            +- ColumnarExchange (55)
               +- VeloxResizeBatches (54)
                  +- ^ ProjectExecTransformer (52)
                     +- ^ FlushableHashAggregateExecTransformer (51)
                        +- ^ ProjectExecTransformer (50)
                           +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (49)
                              :- ^ ProjectExecTransformer (23)
                              :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (22)
                              :     :- ^ ProjectExecTransformer (18)
                              :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (17)
                              :     :     :- ^ ProjectExecTransformer (10)
                              :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (9)
                              :     :     :     :- ^ FilterExecTransformer (2)
                              :     :     :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (1)
                              :     :     :     +- ^ InputIteratorTransformer (8)
                              :     :     :        +- ColumnarBroadcastExchange (6)
                              :     :     :           +- ^ FilterExecTransformer (4)
                              :     :     :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer (3)
                              :     :     +- ^ InputIteratorTransformer (16)
                              :     :        +- ColumnarBroadcastExchange (14)
                              :     :           +- ^ FilterExecTransformer (12)
                              :     :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store_sales (11)
                              :     +- ^ InputIteratorTransformer (21)
                              :        +- ReusedExchange (19)
                              +- ^ InputIteratorTransformer (48)
                                 +- ColumnarBroadcastExchange (46)
                                    +- ^ ProjectExecTransformer (44)
                                       +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (43)
                                          :- ^ FilterExecTransformer (25)
                                          :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (24)
                                          +- ^ InputIteratorTransformer (42)
                                             +- ColumnarBroadcastExchange (40)
                                                +- ^ FilterExecTransformer (38)
                                                   +- ^ ProjectExecTransformer (37)
                                                      +- ^ RegularHashAggregateExecTransformer (36)
                                                         +- ^ InputIteratorTransformer (35)
                                                            +- ColumnarExchange (33)
                                                               +- VeloxResizeBatches (32)
                                                                  +- ^ ProjectExecTransformer (30)
                                                                     +- ^ FlushableHashAggregateExecTransformer (29)
                                                                        +- ^ ProjectExecTransformer (28)
                                                                           +- ^ FilterExecTransformer (27)
                                                                              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (26)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#1, ca_state#2]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_state:string>

(2) FilterExecTransformer
Input [2]: [ca_address_sk#1, ca_state#2]
Arguments: isnotnull(ca_address_sk#1)

(3) FileSourceScanExecTransformer parquet spark_catalog.default.customer
Output [2]: [c_customer_sk#3, c_current_addr_sk#4]
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>

(4) FilterExecTransformer
Input [2]: [c_customer_sk#3, c_current_addr_sk#4]
Arguments: (isnotnull(c_current_addr_sk#4) AND isnotnull(c_customer_sk#3))

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

(6) ColumnarBroadcastExchange
Input [2]: [c_customer_sk#3, c_current_addr_sk#4]
Arguments: HashedRelationBroadcastMode(List(cast(input[1, int, false] as bigint)),false), [plan_id=1]

(7) InputAdapter
Input [2]: [c_customer_sk#3, c_current_addr_sk#4]

(8) InputIteratorTransformer
Input [2]: [c_customer_sk#3, c_current_addr_sk#4]

(9) BroadcastHashJoinExecTransformer
Left keys [1]: [ca_address_sk#1]
Right keys [1]: [c_current_addr_sk#4]
Join type: Inner
Join condition: None

(10) ProjectExecTransformer
Output [2]: [ca_state#2, c_customer_sk#3]
Input [4]: [ca_address_sk#1, ca_state#2, c_customer_sk#3, c_current_addr_sk#4]

(11) FileSourceScanExecTransformer parquet spark_catalog.default.store_sales
Output [3]: [ss_item_sk#5, 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)]
PushedFilters: [IsNotNull(ss_customer_sk), IsNotNull(ss_item_sk)]
ReadSchema: struct<ss_item_sk:int,ss_customer_sk:int>

(12) FilterExecTransformer
Input [3]: [ss_item_sk#5, ss_customer_sk#6, ss_sold_date_sk#7]
Arguments: (isnotnull(ss_customer_sk#6) AND isnotnull(ss_item_sk#5))

(13) WholeStageCodegenTransformer (7)
Input [3]: [ss_item_sk#5, ss_customer_sk#6, ss_sold_date_sk#7]
Arguments: false

(14) ColumnarBroadcastExchange
Input [3]: [ss_item_sk#5, ss_customer_sk#6, ss_sold_date_sk#7]
Arguments: HashedRelationBroadcastMode(List(cast(input[1, int, false] as bigint)),false), [plan_id=2]

(15) InputAdapter
Input [3]: [ss_item_sk#5, ss_customer_sk#6, ss_sold_date_sk#7]

(16) InputIteratorTransformer
Input [3]: [ss_item_sk#5, ss_customer_sk#6, ss_sold_date_sk#7]

(17) BroadcastHashJoinExecTransformer
Left keys [1]: [c_customer_sk#3]
Right keys [1]: [ss_customer_sk#6]
Join type: Inner
Join condition: None

(18) ProjectExecTransformer
Output [3]: [ca_state#2, ss_item_sk#5, ss_sold_date_sk#7]
Input [5]: [ca_state#2, c_customer_sk#3, ss_item_sk#5, ss_customer_sk#6, ss_sold_date_sk#7]

(19) ReusedExchange [Reuses operator id: 67]
Output [1]: [d_date_sk#9]

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

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

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

(23) ProjectExecTransformer
Output [2]: [ca_state#2, ss_item_sk#5]
Input [4]: [ca_state#2, ss_item_sk#5, ss_sold_date_sk#7, d_date_sk#9]

(24) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [3]: [i_item_sk#10, i_current_price#11, i_category#12]
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>

(25) FilterExecTransformer
Input [3]: [i_item_sk#10, i_current_price#11, i_category#12]
Arguments: ((isnotnull(i_current_price#11) AND isnotnull(i_category#12)) AND isnotnull(i_item_sk#10))

(26) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [2]: [i_current_price#13, i_category#14]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_category)]
ReadSchema: struct<i_current_price:decimal(7,2),i_category:string>

(27) FilterExecTransformer
Input [2]: [i_current_price#13, i_category#14]
Arguments: isnotnull(i_category#14)

(28) ProjectExecTransformer
Output [2]: [i_category#14, UnscaledValue(i_current_price#13) AS _pre_1#15]
Input [2]: [i_current_price#13, i_category#14]

(29) FlushableHashAggregateExecTransformer
Input [2]: [i_category#14, _pre_1#15]
Keys [1]: [i_category#14]
Functions [1]: [partial_avg(_pre_1#15)]
Aggregate Attributes [2]: [sum#16, count#17]
Results [3]: [i_category#14, sum#18, count#19]

(30) ProjectExecTransformer
Output [4]: [hash(i_category#14, 42) AS hash_partition_key#20, i_category#14, sum#18, count#19]
Input [3]: [i_category#14, sum#18, count#19]

(31) WholeStageCodegenTransformer (13)
Input [4]: [hash_partition_key#20, i_category#14, sum#18, count#19]
Arguments: false

(32) VeloxResizeBatches
Input [4]: [hash_partition_key#20, i_category#14, sum#18, count#19]
Arguments: 1024, 2147483647, 10485760

(33) ColumnarExchange
Input [4]: [hash_partition_key#20, i_category#14, sum#18, count#19]
Arguments: hashpartitioning(i_category#14, 1), ENSURE_REQUIREMENTS, [i_category#14, sum#18, count#19], [plan_id=3], [shuffle_writer_type=hash]

(34) InputAdapter
Input [3]: [i_category#14, sum#18, count#19]

(35) InputIteratorTransformer
Input [3]: [i_category#14, sum#18, count#19]

(36) RegularHashAggregateExecTransformer
Input [3]: [i_category#14, sum#18, count#19]
Keys [1]: [i_category#14]
Functions [1]: [avg(UnscaledValue(i_current_price#13))]
Aggregate Attributes [1]: [avg(UnscaledValue(i_current_price#13))#21]
Results [2]: [i_category#14, avg(UnscaledValue(i_current_price#13))#21]

(37) ProjectExecTransformer
Output [2]: [cast((avg(UnscaledValue(i_current_price#13))#21 / 100.0) as decimal(11,6)) AS avg(i_current_price)#22, i_category#14]
Input [2]: [i_category#14, avg(UnscaledValue(i_current_price#13))#21]

(38) FilterExecTransformer
Input [2]: [avg(i_current_price)#22, i_category#14]
Arguments: isnotnull(avg(i_current_price)#22)

(39) WholeStageCodegenTransformer (14)
Input [2]: [avg(i_current_price)#22, i_category#14]
Arguments: false

(40) ColumnarBroadcastExchange
Input [2]: [avg(i_current_price)#22, i_category#14]
Arguments: HashedRelationBroadcastMode(List(input[1, string, true]),false), [plan_id=4]

(41) InputAdapter
Input [2]: [avg(i_current_price)#22, i_category#14]

(42) InputIteratorTransformer
Input [2]: [avg(i_current_price)#22, i_category#14]

(43) BroadcastHashJoinExecTransformer
Left keys [1]: [i_category#12]
Right keys [1]: [i_category#14]
Join type: Inner
Join condition: (cast(i_current_price#11 as decimal(14,7)) > (1.2 * avg(i_current_price)#22))

(44) ProjectExecTransformer
Output [1]: [i_item_sk#10]
Input [5]: [i_item_sk#10, i_current_price#11, i_category#12, avg(i_current_price)#22, i_category#14]

(45) WholeStageCodegenTransformer (15)
Input [1]: [i_item_sk#10]
Arguments: false

(46) ColumnarBroadcastExchange
Input [1]: [i_item_sk#10]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5]

(47) InputAdapter
Input [1]: [i_item_sk#10]

(48) InputIteratorTransformer
Input [1]: [i_item_sk#10]

(49) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_item_sk#5]
Right keys [1]: [i_item_sk#10]
Join type: Inner
Join condition: None

(50) ProjectExecTransformer
Output [1]: [ca_state#2]
Input [3]: [ca_state#2, ss_item_sk#5, i_item_sk#10]

(51) FlushableHashAggregateExecTransformer
Input [1]: [ca_state#2]
Keys [1]: [ca_state#2]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#23]
Results [2]: [ca_state#2, count#24]

(52) ProjectExecTransformer
Output [3]: [hash(ca_state#2, 42) AS hash_partition_key#25, ca_state#2, count#24]
Input [2]: [ca_state#2, count#24]

(53) WholeStageCodegenTransformer (16)
Input [3]: [hash_partition_key#25, ca_state#2, count#24]
Arguments: false

(54) VeloxResizeBatches
Input [3]: [hash_partition_key#25, ca_state#2, count#24]
Arguments: 1024, 2147483647, 10485760

(55) ColumnarExchange
Input [3]: [hash_partition_key#25, ca_state#2, count#24]
Arguments: hashpartitioning(ca_state#2, 1), ENSURE_REQUIREMENTS, [ca_state#2, count#24], [plan_id=6], [shuffle_writer_type=hash]

(56) InputAdapter
Input [2]: [ca_state#2, count#24]

(57) InputIteratorTransformer
Input [2]: [ca_state#2, count#24]

(58) RegularHashAggregateExecTransformer
Input [2]: [ca_state#2, count#24]
Keys [1]: [ca_state#2]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#26]
Results [2]: [ca_state#2 AS state#27, count(1)#26 AS cnt#28]

(59) FilterExecTransformer
Input [2]: [state#27, cnt#28]
Arguments: (cnt#28 >= 10)

(60) WholeStageCodegenTransformer (17)
Input [2]: [state#27, cnt#28]
Arguments: false

(61) TakeOrderedAndProjectExecTransformer
Input [2]: [state#27, cnt#28]
Arguments: 100, [cnt#28 ASC NULLS FIRST, state#27 ASC NULLS FIRST], [state#27, cnt#28], 0

(62) VeloxColumnarToRow
Input [2]: [state#27, cnt#28]

===== Subqueries =====

Subquery:1 Hosting operator id = 11 Hosting Expression = ss_sold_date_sk#7 IN dynamicpruning#8
ColumnarBroadcastExchange (67)
+- ^ ProjectExecTransformer (65)
   +- ^ FilterExecTransformer (64)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (63)


(63) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#9, d_month_seq#29]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_month_seq), EqualTo(d_month_seq,ScalarSubquery#30), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_month_seq:int>

(64) FilterExecTransformer
Input [2]: [d_date_sk#9, d_month_seq#29]
Arguments: ((isnotnull(d_month_seq#29) AND (d_month_seq#29 = ReusedSubquery Subquery scalar-subquery#30, [id=#7])) AND isnotnull(d_date_sk#9))

(65) ProjectExecTransformer
Output [1]: [d_date_sk#9]
Input [2]: [d_date_sk#9, d_month_seq#29]

(66) WholeStageCodegenTransformer (6)
Input [1]: [d_date_sk#9]
Arguments: false

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

Subquery:2 Hosting operator id = 64 Hosting Expression = ReusedSubquery Subquery scalar-subquery#30, [id=#7]

Subquery:3 Hosting operator id = 63 Hosting Expression = Subquery scalar-subquery#30, [id=#7]
VeloxColumnarToRow (80)
+- ^ RegularHashAggregateExecTransformer (78)
   +- ^ InputIteratorTransformer (77)
      +- ColumnarExchange (75)
         +- VeloxResizeBatches (74)
            +- ^ ProjectExecTransformer (72)
               +- ^ FlushableHashAggregateExecTransformer (71)
                  +- ^ ProjectExecTransformer (70)
                     +- ^ FilterExecTransformer (69)
                        +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (68)


(68) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_month_seq#31, d_year#32, d_moy#33]
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>

(69) FilterExecTransformer
Input [3]: [d_month_seq#31, d_year#32, d_moy#33]
Arguments: (((isnotnull(d_year#32) AND isnotnull(d_moy#33)) AND (d_year#32 = 2000)) AND (d_moy#33 = 1))

(70) ProjectExecTransformer
Output [1]: [d_month_seq#31]
Input [3]: [d_month_seq#31, d_year#32, d_moy#33]

(71) FlushableHashAggregateExecTransformer
Input [1]: [d_month_seq#31]
Keys [1]: [d_month_seq#31]
Functions: []
Aggregate Attributes: []
Results [1]: [d_month_seq#31]

(72) ProjectExecTransformer
Output [2]: [hash(d_month_seq#31, 42) AS hash_partition_key#34, d_month_seq#31]
Input [1]: [d_month_seq#31]

(73) WholeStageCodegenTransformer (4)
Input [2]: [hash_partition_key#34, d_month_seq#31]
Arguments: false

(74) VeloxResizeBatches
Input [2]: [hash_partition_key#34, d_month_seq#31]
Arguments: 1024, 2147483647, 10485760

(75) ColumnarExchange
Input [2]: [hash_partition_key#34, d_month_seq#31]
Arguments: hashpartitioning(d_month_seq#31, 1), ENSURE_REQUIREMENTS, [d_month_seq#31], [plan_id=9], [shuffle_writer_type=hash]

(76) InputAdapter
Input [1]: [d_month_seq#31]

(77) InputIteratorTransformer
Input [1]: [d_month_seq#31]

(78) RegularHashAggregateExecTransformer
Input [1]: [d_month_seq#31]
Keys [1]: [d_month_seq#31]
Functions: []
Aggregate Attributes: []
Results [1]: [d_month_seq#31]

(79) WholeStageCodegenTransformer (5)
Input [1]: [d_month_seq#31]
Arguments: false

(80) VeloxColumnarToRow
Input [1]: [d_month_seq#31]

Subquery:4 Hosting operator id = 63 Hosting Expression = ReusedSubquery Subquery scalar-subquery#30, [id=#7]


