== Physical Plan ==
VeloxColumnarToRow (66)
+- TakeOrderedAndProjectExecTransformer (65)
   +- ^ ProjectExecTransformer (63)
      +- ^ RegularHashAggregateExecTransformer (62)
         +- ^ InputIteratorTransformer (61)
            +- ColumnarExchange (59)
               +- VeloxResizeBatches (58)
                  +- ^ ProjectExecTransformer (56)
                     +- ^ FlushableHashAggregateExecTransformer (55)
                        +- ^ ProjectExecTransformer (54)
                           +- ^ ShuffledHashJoinExecTransformer Inner BuildRight (53)
                              :- ^ InputIteratorTransformer (29)
                              :  +- ColumnarExchange (27)
                              :     +- VeloxResizeBatches (26)
                              :        +- ^ ProjectExecTransformer (24)
                              :           +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (23)
                              :              :- ^ ProjectExecTransformer (16)
                              :              :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (15)
                              :              :     :- ^ ProjectExecTransformer (11)
                              :              :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (10)
                              :              :     :     :- ^ FilterExecTransformer (2)
                              :              :     :     :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store_sales (1)
                              :              :     :     +- ^ InputIteratorTransformer (9)
                              :              :     :        +- ColumnarBroadcastExchange (7)
                              :              :     :           +- ^ ProjectExecTransformer (5)
                              :              :     :              +- ^ FilterExecTransformer (4)
                              :              :     :                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (3)
                              :              :     +- ^ InputIteratorTransformer (14)
                              :              :        +- ReusedExchange (12)
                              :              +- ^ InputIteratorTransformer (22)
                              :                 +- ColumnarBroadcastExchange (20)
                              :                    +- ^ FilterExecTransformer (18)
                              :                       +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store (17)
                              +- ^ InputIteratorTransformer (52)
                                 +- ColumnarExchange (50)
                                    +- VeloxResizeBatches (49)
                                       +- ^ ProjectExecTransformer (47)
                                          +- ^ ShuffledHashJoinExecTransformer Inner BuildRight (46)
                                             :- ^ InputIteratorTransformer (37)
                                             :  +- ColumnarExchange (35)
                                             :     +- VeloxResizeBatches (34)
                                             :        +- ^ ProjectExecTransformer (32)
                                             :           +- ^ FilterExecTransformer (31)
                                             :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer (30)
                                             +- ^ InputIteratorTransformer (45)
                                                +- ColumnarExchange (43)
                                                   +- VeloxResizeBatches (42)
                                                      +- ^ ProjectExecTransformer (40)
                                                         +- ^ FilterExecTransformer (39)
                                                            +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (38)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.store_sales
Output [5]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ext_sales_price#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)]
PushedFilters: [IsNotNull(ss_item_sk), IsNotNull(ss_customer_sk), IsNotNull(ss_store_sk)]
ReadSchema: struct<ss_item_sk:int,ss_customer_sk:int,ss_store_sk:int,ss_ext_sales_price:decimal(7,2)>

(2) FilterExecTransformer
Input [5]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ext_sales_price#4, ss_sold_date_sk#5]
Arguments: ((isnotnull(ss_item_sk#1) AND isnotnull(ss_customer_sk#2)) AND isnotnull(ss_store_sk#3))

(3) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [6]: [i_item_sk#7, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11, i_manager_id#12]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_manager_id), EqualTo(i_manager_id,8), IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_brand_id:int,i_brand:string,i_manufact_id:int,i_manufact:string,i_manager_id:int>

(4) FilterExecTransformer
Input [6]: [i_item_sk#7, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11, i_manager_id#12]
Arguments: ((isnotnull(i_manager_id#12) AND (i_manager_id#12 = 8)) AND isnotnull(i_item_sk#7))

(5) ProjectExecTransformer
Output [5]: [i_item_sk#7, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11]
Input [6]: [i_item_sk#7, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11, i_manager_id#12]

(6) WholeStageCodegenTransformer (2)
Input [5]: [i_item_sk#7, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11]
Arguments: false

(7) ColumnarBroadcastExchange
Input [5]: [i_item_sk#7, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=1]

(8) InputAdapter
Input [5]: [i_item_sk#7, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11]

(9) InputIteratorTransformer
Input [5]: [i_item_sk#7, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11]

(10) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_item_sk#1]
Right keys [1]: [i_item_sk#7]
Join type: Inner
Join condition: None

(11) ProjectExecTransformer
Output [8]: [ss_customer_sk#2, ss_store_sk#3, ss_ext_sales_price#4, ss_sold_date_sk#5, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11]
Input [10]: [ss_item_sk#1, ss_customer_sk#2, ss_store_sk#3, ss_ext_sales_price#4, ss_sold_date_sk#5, i_item_sk#7, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11]

(12) ReusedExchange [Reuses operator id: 71]
Output [1]: [d_date_sk#13]

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

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

(15) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_sold_date_sk#5]
Right keys [1]: [d_date_sk#13]
Join type: Inner
Join condition: None

(16) ProjectExecTransformer
Output [7]: [ss_customer_sk#2, ss_store_sk#3, ss_ext_sales_price#4, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11]
Input [9]: [ss_customer_sk#2, ss_store_sk#3, ss_ext_sales_price#4, ss_sold_date_sk#5, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11, d_date_sk#13]

(17) FileSourceScanExecTransformer parquet spark_catalog.default.store
Output [2]: [s_store_sk#14, s_zip#15]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_zip), IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_zip:string>

(18) FilterExecTransformer
Input [2]: [s_store_sk#14, s_zip#15]
Arguments: (isnotnull(s_zip#15) AND isnotnull(s_store_sk#14))

(19) WholeStageCodegenTransformer (4)
Input [2]: [s_store_sk#14, s_zip#15]
Arguments: false

(20) ColumnarBroadcastExchange
Input [2]: [s_store_sk#14, s_zip#15]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=2]

(21) InputAdapter
Input [2]: [s_store_sk#14, s_zip#15]

(22) InputIteratorTransformer
Input [2]: [s_store_sk#14, s_zip#15]

(23) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_store_sk#3]
Right keys [1]: [s_store_sk#14]
Join type: Inner
Join condition: None

(24) ProjectExecTransformer
Output [8]: [hash(ss_customer_sk#2, 42) AS hash_partition_key#16, ss_customer_sk#2, ss_ext_sales_price#4, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11, s_zip#15]
Input [9]: [ss_customer_sk#2, ss_store_sk#3, ss_ext_sales_price#4, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11, s_store_sk#14, s_zip#15]

(25) WholeStageCodegenTransformer (5)
Input [8]: [hash_partition_key#16, ss_customer_sk#2, ss_ext_sales_price#4, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11, s_zip#15]
Arguments: false

(26) VeloxResizeBatches
Input [8]: [hash_partition_key#16, ss_customer_sk#2, ss_ext_sales_price#4, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11, s_zip#15]
Arguments: 1024, 2147483647, 10485760

(27) ColumnarExchange
Input [8]: [hash_partition_key#16, ss_customer_sk#2, ss_ext_sales_price#4, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11, s_zip#15]
Arguments: hashpartitioning(ss_customer_sk#2, 1), ENSURE_REQUIREMENTS, [ss_customer_sk#2, ss_ext_sales_price#4, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11, s_zip#15], [plan_id=3], [shuffle_writer_type=hash]

(28) InputAdapter
Input [7]: [ss_customer_sk#2, ss_ext_sales_price#4, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11, s_zip#15]

(29) InputIteratorTransformer
Input [7]: [ss_customer_sk#2, ss_ext_sales_price#4, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11, s_zip#15]

(30) FileSourceScanExecTransformer parquet spark_catalog.default.customer
Output [2]: [c_customer_sk#17, c_current_addr_sk#18]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer]
PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk)]
ReadSchema: struct<c_customer_sk:int,c_current_addr_sk:int>

(31) FilterExecTransformer
Input [2]: [c_customer_sk#17, c_current_addr_sk#18]
Arguments: (isnotnull(c_customer_sk#17) AND isnotnull(c_current_addr_sk#18))

(32) ProjectExecTransformer
Output [3]: [hash(c_current_addr_sk#18, 42) AS hash_partition_key#19, c_customer_sk#17, c_current_addr_sk#18]
Input [2]: [c_customer_sk#17, c_current_addr_sk#18]

(33) WholeStageCodegenTransformer (6)
Input [3]: [hash_partition_key#19, c_customer_sk#17, c_current_addr_sk#18]
Arguments: false

(34) VeloxResizeBatches
Input [3]: [hash_partition_key#19, c_customer_sk#17, c_current_addr_sk#18]
Arguments: 1024, 2147483647, 10485760

(35) ColumnarExchange
Input [3]: [hash_partition_key#19, c_customer_sk#17, c_current_addr_sk#18]
Arguments: hashpartitioning(c_current_addr_sk#18, 1), ENSURE_REQUIREMENTS, [c_customer_sk#17, c_current_addr_sk#18], [plan_id=4], [shuffle_writer_type=hash]

(36) InputAdapter
Input [2]: [c_customer_sk#17, c_current_addr_sk#18]

(37) InputIteratorTransformer
Input [2]: [c_customer_sk#17, c_current_addr_sk#18]

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

(39) FilterExecTransformer
Input [2]: [ca_address_sk#20, ca_zip#21]
Arguments: (isnotnull(ca_address_sk#20) AND isnotnull(ca_zip#21))

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

(41) WholeStageCodegenTransformer (7)
Input [3]: [hash_partition_key#22, ca_address_sk#20, ca_zip#21]
Arguments: false

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

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

(44) InputAdapter
Input [2]: [ca_address_sk#20, ca_zip#21]

(45) InputIteratorTransformer
Input [2]: [ca_address_sk#20, ca_zip#21]

(46) ShuffledHashJoinExecTransformer
Left keys [1]: [c_current_addr_sk#18]
Right keys [1]: [ca_address_sk#20]
Join type: Inner
Join condition: None

(47) ProjectExecTransformer
Output [3]: [hash(c_customer_sk#17, 42) AS hash_partition_key#23, c_customer_sk#17, ca_zip#21]
Input [4]: [c_customer_sk#17, c_current_addr_sk#18, ca_address_sk#20, ca_zip#21]

(48) WholeStageCodegenTransformer (8)
Input [3]: [hash_partition_key#23, c_customer_sk#17, ca_zip#21]
Arguments: false

(49) VeloxResizeBatches
Input [3]: [hash_partition_key#23, c_customer_sk#17, ca_zip#21]
Arguments: 1024, 2147483647, 10485760

(50) ColumnarExchange
Input [3]: [hash_partition_key#23, c_customer_sk#17, ca_zip#21]
Arguments: hashpartitioning(c_customer_sk#17, 1), ENSURE_REQUIREMENTS, [c_customer_sk#17, ca_zip#21], [plan_id=6], [shuffle_writer_type=hash]

(51) InputAdapter
Input [2]: [c_customer_sk#17, ca_zip#21]

(52) InputIteratorTransformer
Input [2]: [c_customer_sk#17, ca_zip#21]

(53) ShuffledHashJoinExecTransformer
Left keys [1]: [ss_customer_sk#2]
Right keys [1]: [c_customer_sk#17]
Join type: Inner
Join condition: NOT (substr(ca_zip#21, 1, 5) = substr(s_zip#15, 1, 5))

(54) ProjectExecTransformer
Output [5]: [i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11, UnscaledValue(ss_ext_sales_price#4) AS _pre_1#24]
Input [9]: [ss_customer_sk#2, ss_ext_sales_price#4, i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11, s_zip#15, c_customer_sk#17, ca_zip#21]

(55) FlushableHashAggregateExecTransformer
Input [5]: [i_brand_id#8, i_brand#9, i_manufact_id#10, i_manufact#11, _pre_1#24]
Keys [4]: [i_brand#9, i_brand_id#8, i_manufact_id#10, i_manufact#11]
Functions [1]: [partial_sum(_pre_1#24)]
Aggregate Attributes [1]: [sum#25]
Results [5]: [i_brand#9, i_brand_id#8, i_manufact_id#10, i_manufact#11, sum#26]

(56) ProjectExecTransformer
Output [6]: [hash(i_brand#9, i_brand_id#8, i_manufact_id#10, i_manufact#11, 42) AS hash_partition_key#27, i_brand#9, i_brand_id#8, i_manufact_id#10, i_manufact#11, sum#26]
Input [5]: [i_brand#9, i_brand_id#8, i_manufact_id#10, i_manufact#11, sum#26]

(57) WholeStageCodegenTransformer (9)
Input [6]: [hash_partition_key#27, i_brand#9, i_brand_id#8, i_manufact_id#10, i_manufact#11, sum#26]
Arguments: false

(58) VeloxResizeBatches
Input [6]: [hash_partition_key#27, i_brand#9, i_brand_id#8, i_manufact_id#10, i_manufact#11, sum#26]
Arguments: 1024, 2147483647, 10485760

(59) ColumnarExchange
Input [6]: [hash_partition_key#27, i_brand#9, i_brand_id#8, i_manufact_id#10, i_manufact#11, sum#26]
Arguments: hashpartitioning(i_brand#9, i_brand_id#8, i_manufact_id#10, i_manufact#11, 1), ENSURE_REQUIREMENTS, [i_brand#9, i_brand_id#8, i_manufact_id#10, i_manufact#11, sum#26], [plan_id=7], [shuffle_writer_type=hash]

(60) InputAdapter
Input [5]: [i_brand#9, i_brand_id#8, i_manufact_id#10, i_manufact#11, sum#26]

(61) InputIteratorTransformer
Input [5]: [i_brand#9, i_brand_id#8, i_manufact_id#10, i_manufact#11, sum#26]

(62) RegularHashAggregateExecTransformer
Input [5]: [i_brand#9, i_brand_id#8, i_manufact_id#10, i_manufact#11, sum#26]
Keys [4]: [i_brand#9, i_brand_id#8, i_manufact_id#10, i_manufact#11]
Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#4))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#4))#28]
Results [5]: [i_brand#9, i_brand_id#8, i_manufact_id#10, i_manufact#11, sum(UnscaledValue(ss_ext_sales_price#4))#28]

(63) ProjectExecTransformer
Output [5]: [i_brand_id#8 AS brand_id#29, i_brand#9 AS brand#30, i_manufact_id#10, i_manufact#11, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#4))#28,17,2) AS ext_price#31]
Input [5]: [i_brand#9, i_brand_id#8, i_manufact_id#10, i_manufact#11, sum(UnscaledValue(ss_ext_sales_price#4))#28]

(64) WholeStageCodegenTransformer (10)
Input [5]: [brand_id#29, brand#30, i_manufact_id#10, i_manufact#11, ext_price#31]
Arguments: false

(65) TakeOrderedAndProjectExecTransformer
Input [5]: [brand_id#29, brand#30, i_manufact_id#10, i_manufact#11, ext_price#31]
Arguments: 100, [ext_price#31 DESC NULLS LAST, brand#30 ASC NULLS FIRST, brand_id#29 ASC NULLS FIRST, i_manufact_id#10 ASC NULLS FIRST, i_manufact#11 ASC NULLS FIRST], [brand_id#29, brand#30, i_manufact_id#10, i_manufact#11, ext_price#31], 0

(66) VeloxColumnarToRow
Input [5]: [brand_id#29, brand#30, i_manufact_id#10, i_manufact#11, ext_price#31]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6
ColumnarBroadcastExchange (71)
+- ^ ProjectExecTransformer (69)
   +- ^ FilterExecTransformer (68)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (67)


(67) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#13, d_year#32, d_moy#33]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,11), EqualTo(d_year,1998), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(68) FilterExecTransformer
Input [3]: [d_date_sk#13, d_year#32, d_moy#33]
Arguments: ((((isnotnull(d_moy#33) AND isnotnull(d_year#32)) AND (d_moy#33 = 11)) AND (d_year#32 = 1998)) AND isnotnull(d_date_sk#13))

(69) ProjectExecTransformer
Output [1]: [d_date_sk#13]
Input [3]: [d_date_sk#13, d_year#32, d_moy#33]

(70) WholeStageCodegenTransformer (1)
Input [1]: [d_date_sk#13]
Arguments: false

(71) ColumnarBroadcastExchange
Input [1]: [d_date_sk#13]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8]


