== Physical Plan ==
VeloxColumnarToRow (56)
+- TakeOrderedAndProjectExecTransformer (55)
   +- ^ ProjectExecTransformer (53)
      +- ^ RegularHashAggregateExecTransformer (52)
         +- ^ InputIteratorTransformer (51)
            +- ColumnarExchange (49)
               +- VeloxResizeBatches (48)
                  +- ^ ProjectExecTransformer (46)
                     +- ^ FlushableHashAggregateExecTransformer (45)
                        +- ^ ProjectExecTransformer (44)
                           +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (43)
                              :- ^ ProjectExecTransformer (36)
                              :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (35)
                              :     :- ^ ProjectExecTransformer (28)
                              :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (27)
                              :     :     :- ^ ProjectExecTransformer (20)
                              :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (19)
                              :     :     :     :- ^ ProjectExecTransformer (11)
                              :     :     :     :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (10)
                              :     :     :     :     :- ^ ProjectExecTransformer (3)
                              :     :     :     :     :  +- ^ FilterExecTransformer (2)
                              :     :     :     :     :     +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (1)
                              :     :     :     :     +- ^ InputIteratorTransformer (9)
                              :     :     :     :        +- ColumnarBroadcastExchange (7)
                              :     :     :     :           +- ^ FilterExecTransformer (5)
                              :     :     :     :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store_sales (4)
                              :     :     :     +- ^ InputIteratorTransformer (18)
                              :     :     :        +- ColumnarBroadcastExchange (16)
                              :     :     :           +- ^ ProjectExecTransformer (14)
                              :     :     :              +- ^ FilterExecTransformer (13)
                              :     :     :                 +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (12)
                              :     :     +- ^ InputIteratorTransformer (26)
                              :     :        +- ColumnarBroadcastExchange (24)
                              :     :           +- ^ FilterExecTransformer (22)
                              :     :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer (21)
                              :     +- ^ InputIteratorTransformer (34)
                              :        +- ColumnarBroadcastExchange (32)
                              :           +- ^ FilterExecTransformer (30)
                              :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (29)
                              +- ^ InputIteratorTransformer (42)
                                 +- ColumnarBroadcastExchange (40)
                                    +- ^ FilterExecTransformer (38)
                                       +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store (37)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#1, d_year#2, d_moy#3]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,11), EqualTo(d_year,1999), GreaterThanOrEqual(d_date_sk,2451484), LessThanOrEqual(d_date_sk,2451513), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(2) FilterExecTransformer
Input [3]: [d_date_sk#1, d_year#2, d_moy#3]
Arguments: ((((((isnotnull(d_moy#3) AND isnotnull(d_year#2)) AND (d_moy#3 = 11)) AND (d_year#2 = 1999)) AND (d_date_sk#1 >= 2451484)) AND (d_date_sk#1 <= 2451513)) AND isnotnull(d_date_sk#1))

(3) ProjectExecTransformer
Output [1]: [d_date_sk#1]
Input [3]: [d_date_sk#1, d_year#2, d_moy#3]

(4) FileSourceScanExecTransformer parquet spark_catalog.default.store_sales
Output [5]: [ss_item_sk#4, ss_customer_sk#5, ss_store_sk#6, ss_ext_sales_price#7, ss_sold_date_sk#8]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#8), (ss_sold_date_sk#8 >= 2451484), (ss_sold_date_sk#8 <= 2451513), dynamicpruningexpression(true)]
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)>

(5) FilterExecTransformer
Input [5]: [ss_item_sk#4, ss_customer_sk#5, ss_store_sk#6, ss_ext_sales_price#7, ss_sold_date_sk#8]
Arguments: ((isnotnull(ss_item_sk#4) AND isnotnull(ss_customer_sk#5)) AND isnotnull(ss_store_sk#6))

(6) WholeStageCodegenTransformer (1)
Input [5]: [ss_item_sk#4, ss_customer_sk#5, ss_store_sk#6, ss_ext_sales_price#7, ss_sold_date_sk#8]
Arguments: false

(7) ColumnarBroadcastExchange
Input [5]: [ss_item_sk#4, ss_customer_sk#5, ss_store_sk#6, ss_ext_sales_price#7, ss_sold_date_sk#8]
Arguments: HashedRelationBroadcastMode(List(cast(input[4, int, true] as bigint)),false), [plan_id=1]

(8) InputAdapter
Input [5]: [ss_item_sk#4, ss_customer_sk#5, ss_store_sk#6, ss_ext_sales_price#7, ss_sold_date_sk#8]

(9) InputIteratorTransformer
Input [5]: [ss_item_sk#4, ss_customer_sk#5, ss_store_sk#6, ss_ext_sales_price#7, ss_sold_date_sk#8]

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

(11) ProjectExecTransformer
Output [4]: [ss_item_sk#4, ss_customer_sk#5, ss_store_sk#6, ss_ext_sales_price#7]
Input [6]: [d_date_sk#1, ss_item_sk#4, ss_customer_sk#5, ss_store_sk#6, ss_ext_sales_price#7, ss_sold_date_sk#8]

(12) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [6]: [i_item_sk#9, i_brand_id#10, i_brand#11, i_manufact_id#12, i_manufact#13, i_manager_id#14]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_manager_id), EqualTo(i_manager_id,7), 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>

(13) FilterExecTransformer
Input [6]: [i_item_sk#9, i_brand_id#10, i_brand#11, i_manufact_id#12, i_manufact#13, i_manager_id#14]
Arguments: ((isnotnull(i_manager_id#14) AND (i_manager_id#14 = 7)) AND isnotnull(i_item_sk#9))

(14) ProjectExecTransformer
Output [5]: [i_item_sk#9, i_brand_id#10, i_brand#11, i_manufact_id#12, i_manufact#13]
Input [6]: [i_item_sk#9, i_brand_id#10, i_brand#11, i_manufact_id#12, i_manufact#13, i_manager_id#14]

(15) WholeStageCodegenTransformer (2)
Input [5]: [i_item_sk#9, i_brand_id#10, i_brand#11, i_manufact_id#12, i_manufact#13]
Arguments: false

(16) ColumnarBroadcastExchange
Input [5]: [i_item_sk#9, i_brand_id#10, i_brand#11, i_manufact_id#12, i_manufact#13]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]

(17) InputAdapter
Input [5]: [i_item_sk#9, i_brand_id#10, i_brand#11, i_manufact_id#12, i_manufact#13]

(18) InputIteratorTransformer
Input [5]: [i_item_sk#9, i_brand_id#10, i_brand#11, i_manufact_id#12, i_manufact#13]

(19) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_item_sk#4]
Right keys [1]: [i_item_sk#9]
Join type: Inner
Join condition: None

(20) ProjectExecTransformer
Output [7]: [ss_customer_sk#5, ss_store_sk#6, ss_ext_sales_price#7, i_brand_id#10, i_brand#11, i_manufact_id#12, i_manufact#13]
Input [9]: [ss_item_sk#4, ss_customer_sk#5, ss_store_sk#6, ss_ext_sales_price#7, i_item_sk#9, i_brand_id#10, i_brand#11, i_manufact_id#12, i_manufact#13]

(21) FileSourceScanExecTransformer parquet spark_catalog.default.customer
Output [2]: [c_customer_sk#15, c_current_addr_sk#16]
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>

(22) FilterExecTransformer
Input [2]: [c_customer_sk#15, c_current_addr_sk#16]
Arguments: (isnotnull(c_customer_sk#15) AND isnotnull(c_current_addr_sk#16))

(23) WholeStageCodegenTransformer (3)
Input [2]: [c_customer_sk#15, c_current_addr_sk#16]
Arguments: false

(24) ColumnarBroadcastExchange
Input [2]: [c_customer_sk#15, c_current_addr_sk#16]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3]

(25) InputAdapter
Input [2]: [c_customer_sk#15, c_current_addr_sk#16]

(26) InputIteratorTransformer
Input [2]: [c_customer_sk#15, c_current_addr_sk#16]

(27) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_customer_sk#5]
Right keys [1]: [c_customer_sk#15]
Join type: Inner
Join condition: None

(28) ProjectExecTransformer
Output [7]: [ss_store_sk#6, ss_ext_sales_price#7, i_brand_id#10, i_brand#11, i_manufact_id#12, i_manufact#13, c_current_addr_sk#16]
Input [9]: [ss_customer_sk#5, ss_store_sk#6, ss_ext_sales_price#7, i_brand_id#10, i_brand#11, i_manufact_id#12, i_manufact#13, c_customer_sk#15, c_current_addr_sk#16]

(29) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#17, ca_zip#18]
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>

(30) FilterExecTransformer
Input [2]: [ca_address_sk#17, ca_zip#18]
Arguments: (isnotnull(ca_address_sk#17) AND isnotnull(ca_zip#18))

(31) WholeStageCodegenTransformer (4)
Input [2]: [ca_address_sk#17, ca_zip#18]
Arguments: false

(32) ColumnarBroadcastExchange
Input [2]: [ca_address_sk#17, ca_zip#18]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=4]

(33) InputAdapter
Input [2]: [ca_address_sk#17, ca_zip#18]

(34) InputIteratorTransformer
Input [2]: [ca_address_sk#17, ca_zip#18]

(35) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_addr_sk#16]
Right keys [1]: [ca_address_sk#17]
Join type: Inner
Join condition: None

(36) ProjectExecTransformer
Output [7]: [ss_store_sk#6, ss_ext_sales_price#7, i_brand_id#10, i_brand#11, i_manufact_id#12, i_manufact#13, ca_zip#18]
Input [9]: [ss_store_sk#6, ss_ext_sales_price#7, i_brand_id#10, i_brand#11, i_manufact_id#12, i_manufact#13, c_current_addr_sk#16, ca_address_sk#17, ca_zip#18]

(37) FileSourceScanExecTransformer parquet spark_catalog.default.store
Output [2]: [s_store_sk#19, s_zip#20]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_zip), IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_zip:string>

(38) FilterExecTransformer
Input [2]: [s_store_sk#19, s_zip#20]
Arguments: (isnotnull(s_zip#20) AND isnotnull(s_store_sk#19))

(39) WholeStageCodegenTransformer (5)
Input [2]: [s_store_sk#19, s_zip#20]
Arguments: false

(40) ColumnarBroadcastExchange
Input [2]: [s_store_sk#19, s_zip#20]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5]

(41) InputAdapter
Input [2]: [s_store_sk#19, s_zip#20]

(42) InputIteratorTransformer
Input [2]: [s_store_sk#19, s_zip#20]

(43) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_store_sk#6]
Right keys [1]: [s_store_sk#19]
Join type: Inner
Join condition: NOT (substr(ca_zip#18, 1, 5) = substr(s_zip#20, 1, 5))

(44) ProjectExecTransformer
Output [5]: [i_brand_id#10, i_brand#11, i_manufact_id#12, i_manufact#13, UnscaledValue(ss_ext_sales_price#7) AS _pre_1#21]
Input [9]: [ss_store_sk#6, ss_ext_sales_price#7, i_brand_id#10, i_brand#11, i_manufact_id#12, i_manufact#13, ca_zip#18, s_store_sk#19, s_zip#20]

(45) FlushableHashAggregateExecTransformer
Input [5]: [i_brand_id#10, i_brand#11, i_manufact_id#12, i_manufact#13, _pre_1#21]
Keys [4]: [i_brand#11, i_brand_id#10, i_manufact_id#12, i_manufact#13]
Functions [1]: [partial_sum(_pre_1#21)]
Aggregate Attributes [1]: [sum#22]
Results [5]: [i_brand#11, i_brand_id#10, i_manufact_id#12, i_manufact#13, sum#23]

(46) ProjectExecTransformer
Output [6]: [hash(i_brand#11, i_brand_id#10, i_manufact_id#12, i_manufact#13, 42) AS hash_partition_key#24, i_brand#11, i_brand_id#10, i_manufact_id#12, i_manufact#13, sum#23]
Input [5]: [i_brand#11, i_brand_id#10, i_manufact_id#12, i_manufact#13, sum#23]

(47) WholeStageCodegenTransformer (6)
Input [6]: [hash_partition_key#24, i_brand#11, i_brand_id#10, i_manufact_id#12, i_manufact#13, sum#23]
Arguments: false

(48) VeloxResizeBatches
Input [6]: [hash_partition_key#24, i_brand#11, i_brand_id#10, i_manufact_id#12, i_manufact#13, sum#23]
Arguments: 1024, 2147483647, 10485760

(49) ColumnarExchange
Input [6]: [hash_partition_key#24, i_brand#11, i_brand_id#10, i_manufact_id#12, i_manufact#13, sum#23]
Arguments: hashpartitioning(i_brand#11, i_brand_id#10, i_manufact_id#12, i_manufact#13, 1), ENSURE_REQUIREMENTS, [i_brand#11, i_brand_id#10, i_manufact_id#12, i_manufact#13, sum#23], [plan_id=6], [shuffle_writer_type=hash]

(50) InputAdapter
Input [5]: [i_brand#11, i_brand_id#10, i_manufact_id#12, i_manufact#13, sum#23]

(51) InputIteratorTransformer
Input [5]: [i_brand#11, i_brand_id#10, i_manufact_id#12, i_manufact#13, sum#23]

(52) RegularHashAggregateExecTransformer
Input [5]: [i_brand#11, i_brand_id#10, i_manufact_id#12, i_manufact#13, sum#23]
Keys [4]: [i_brand#11, i_brand_id#10, i_manufact_id#12, i_manufact#13]
Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#7))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#7))#25]
Results [5]: [i_brand#11, i_brand_id#10, i_manufact_id#12, i_manufact#13, sum(UnscaledValue(ss_ext_sales_price#7))#25]

(53) ProjectExecTransformer
Output [5]: [i_brand_id#10 AS brand_id#26, i_brand#11 AS brand#27, i_manufact_id#12, i_manufact#13, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#7))#25,17,2) AS ext_price#28]
Input [5]: [i_brand#11, i_brand_id#10, i_manufact_id#12, i_manufact#13, sum(UnscaledValue(ss_ext_sales_price#7))#25]

(54) WholeStageCodegenTransformer (7)
Input [5]: [brand_id#26, brand#27, i_manufact_id#12, i_manufact#13, ext_price#28]
Arguments: false

(55) TakeOrderedAndProjectExecTransformer
Input [5]: [brand_id#26, brand#27, i_manufact_id#12, i_manufact#13, ext_price#28]
Arguments: 100, [ext_price#28 DESC NULLS LAST, brand#27 ASC NULLS FIRST, brand_id#26 ASC NULLS FIRST, i_manufact_id#12 ASC NULLS FIRST, i_manufact#13 ASC NULLS FIRST], [brand_id#26, brand#27, i_manufact_id#12, i_manufact#13, ext_price#28], 0

(56) VeloxColumnarToRow
Input [5]: [brand_id#26, brand#27, i_manufact_id#12, i_manufact#13, ext_price#28]

