== 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 (35)
                              :  +- ^ BroadcastHashJoinExecTransformer Inner BuildLeft (34)
                              :     :- ^ InputIteratorTransformer (31)
                              :     :  +- ColumnarBroadcastExchange (29)
                              :     :     +- ^ ProjectExecTransformer (27)
                              :     :        +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (26)
                              :     :           :- ^ ProjectExecTransformer (19)
                              :     :           :  +- ^ BroadcastHashJoinExecTransformer Inner BuildLeft (18)
                              :     :           :     :- ^ InputIteratorTransformer (15)
                              :     :           :     :  +- ColumnarBroadcastExchange (13)
                              :     :           :     :     +- ^ ProjectExecTransformer (11)
                              :     :           :     :        +- ^ BroadcastHashJoinExecTransformer Inner BuildLeft (10)
                              :     :           :     :           :- ^ InputIteratorTransformer (7)
                              :     :           :     :           :  +- ColumnarBroadcastExchange (5)
                              :     :           :     :           :     +- ^ ProjectExecTransformer (3)
                              :     :           :     :           :        +- ^ FilterExecTransformer (2)
                              :     :           :     :           :           +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (1)
                              :     :           :     :           +- ^ FilterExecTransformer (9)
                              :     :           :     :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store_sales (8)
                              :     :           :     +- ^ FilterExecTransformer (17)
                              :     :           :        +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer (16)
                              :     :           +- ^ InputIteratorTransformer (25)
                              :     :              +- ColumnarBroadcastExchange (23)
                              :     :                 +- ^ FilterExecTransformer (21)
                              :     :                    +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.store (20)
                              :     +- ^ FilterExecTransformer (33)
                              :        +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (32)
                              +- ^ InputIteratorTransformer (42)
                                 +- ColumnarBroadcastExchange (40)
                                    +- ^ ProjectExecTransformer (38)
                                       +- ^ FilterExecTransformer (37)
                                          +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (36)


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

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

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

(7) InputIteratorTransformer
Input [1]: [d_date_sk#1]

(8) 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(ss_sold_date_sk#8 IN dynamicpruning#9)]
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)>

(9) 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))

(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) WholeStageCodegenTransformer (3)
Input [4]: [ss_item_sk#4, ss_customer_sk#5, ss_store_sk#6, ss_ext_sales_price#7]
Arguments: false

(13) ColumnarBroadcastExchange
Input [4]: [ss_item_sk#4, ss_customer_sk#5, ss_store_sk#6, ss_ext_sales_price#7]
Arguments: HashedRelationBroadcastMode(List(cast(input[1, int, true] as bigint)),false), [plan_id=2]

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

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

(16) FileSourceScanExecTransformer parquet spark_catalog.default.customer
Output [2]: [c_customer_sk#10, c_current_addr_sk#11]
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>

(17) FilterExecTransformer
Input [2]: [c_customer_sk#10, c_current_addr_sk#11]
Arguments: (isnotnull(c_customer_sk#10) AND isnotnull(c_current_addr_sk#11))

(18) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_customer_sk#5]
Right keys [1]: [c_customer_sk#10]
Join type: Inner
Join condition: None

(19) ProjectExecTransformer
Output [4]: [ss_item_sk#4, ss_store_sk#6, ss_ext_sales_price#7, c_current_addr_sk#11]
Input [6]: [ss_item_sk#4, ss_customer_sk#5, ss_store_sk#6, ss_ext_sales_price#7, c_customer_sk#10, c_current_addr_sk#11]

(20) FileSourceScanExecTransformer parquet spark_catalog.default.store
Output [2]: [s_store_sk#12, s_zip#13]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_zip), IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_zip:string>

(21) FilterExecTransformer
Input [2]: [s_store_sk#12, s_zip#13]
Arguments: (isnotnull(s_zip#13) AND isnotnull(s_store_sk#12))

(22) WholeStageCodegenTransformer (4)
Input [2]: [s_store_sk#12, s_zip#13]
Arguments: false

(23) ColumnarBroadcastExchange
Input [2]: [s_store_sk#12, s_zip#13]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3]

(24) InputAdapter
Input [2]: [s_store_sk#12, s_zip#13]

(25) InputIteratorTransformer
Input [2]: [s_store_sk#12, s_zip#13]

(26) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_store_sk#6]
Right keys [1]: [s_store_sk#12]
Join type: Inner
Join condition: None

(27) ProjectExecTransformer
Output [4]: [ss_item_sk#4, ss_ext_sales_price#7, c_current_addr_sk#11, s_zip#13]
Input [6]: [ss_item_sk#4, ss_store_sk#6, ss_ext_sales_price#7, c_current_addr_sk#11, s_store_sk#12, s_zip#13]

(28) WholeStageCodegenTransformer (5)
Input [4]: [ss_item_sk#4, ss_ext_sales_price#7, c_current_addr_sk#11, s_zip#13]
Arguments: false

(29) ColumnarBroadcastExchange
Input [4]: [ss_item_sk#4, ss_ext_sales_price#7, c_current_addr_sk#11, s_zip#13]
Arguments: HashedRelationBroadcastMode(List(cast(input[2, int, true] as bigint)),false), [plan_id=4]

(30) InputAdapter
Input [4]: [ss_item_sk#4, ss_ext_sales_price#7, c_current_addr_sk#11, s_zip#13]

(31) InputIteratorTransformer
Input [4]: [ss_item_sk#4, ss_ext_sales_price#7, c_current_addr_sk#11, s_zip#13]

(32) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [2]: [ca_address_sk#14, ca_zip#15]
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>

(33) FilterExecTransformer
Input [2]: [ca_address_sk#14, ca_zip#15]
Arguments: (isnotnull(ca_address_sk#14) AND isnotnull(ca_zip#15))

(34) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_addr_sk#11]
Right keys [1]: [ca_address_sk#14]
Join type: Inner
Join condition: NOT (substr(ca_zip#15, 1, 5) = substr(s_zip#13, 1, 5))

(35) ProjectExecTransformer
Output [2]: [ss_item_sk#4, ss_ext_sales_price#7]
Input [6]: [ss_item_sk#4, ss_ext_sales_price#7, c_current_addr_sk#11, s_zip#13, ca_address_sk#14, ca_zip#15]

(36) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [6]: [i_item_sk#16, i_brand_id#17, i_brand#18, i_manufact_id#19, i_manufact#20, i_manager_id#21]
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>

(37) FilterExecTransformer
Input [6]: [i_item_sk#16, i_brand_id#17, i_brand#18, i_manufact_id#19, i_manufact#20, i_manager_id#21]
Arguments: ((isnotnull(i_manager_id#21) AND (i_manager_id#21 = 7)) AND isnotnull(i_item_sk#16))

(38) ProjectExecTransformer
Output [5]: [i_item_sk#16, i_brand_id#17, i_brand#18, i_manufact_id#19, i_manufact#20]
Input [6]: [i_item_sk#16, i_brand_id#17, i_brand#18, i_manufact_id#19, i_manufact#20, i_manager_id#21]

(39) WholeStageCodegenTransformer (6)
Input [5]: [i_item_sk#16, i_brand_id#17, i_brand#18, i_manufact_id#19, i_manufact#20]
Arguments: false

(40) ColumnarBroadcastExchange
Input [5]: [i_item_sk#16, i_brand_id#17, i_brand#18, i_manufact_id#19, i_manufact#20]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5]

(41) InputAdapter
Input [5]: [i_item_sk#16, i_brand_id#17, i_brand#18, i_manufact_id#19, i_manufact#20]

(42) InputIteratorTransformer
Input [5]: [i_item_sk#16, i_brand_id#17, i_brand#18, i_manufact_id#19, i_manufact#20]

(43) BroadcastHashJoinExecTransformer
Left keys [1]: [ss_item_sk#4]
Right keys [1]: [i_item_sk#16]
Join type: Inner
Join condition: None

(44) ProjectExecTransformer
Output [5]: [i_brand_id#17, i_brand#18, i_manufact_id#19, i_manufact#20, UnscaledValue(ss_ext_sales_price#7) AS _pre_1#22]
Input [7]: [ss_item_sk#4, ss_ext_sales_price#7, i_item_sk#16, i_brand_id#17, i_brand#18, i_manufact_id#19, i_manufact#20]

(45) FlushableHashAggregateExecTransformer
Input [5]: [i_brand_id#17, i_brand#18, i_manufact_id#19, i_manufact#20, _pre_1#22]
Keys [4]: [i_brand#18, i_brand_id#17, i_manufact_id#19, i_manufact#20]
Functions [1]: [partial_sum(_pre_1#22)]
Aggregate Attributes [1]: [sum#23]
Results [5]: [i_brand#18, i_brand_id#17, i_manufact_id#19, i_manufact#20, sum#24]

(46) ProjectExecTransformer
Output [6]: [hash(i_brand#18, i_brand_id#17, i_manufact_id#19, i_manufact#20, 42) AS hash_partition_key#25, i_brand#18, i_brand_id#17, i_manufact_id#19, i_manufact#20, sum#24]
Input [5]: [i_brand#18, i_brand_id#17, i_manufact_id#19, i_manufact#20, sum#24]

(47) WholeStageCodegenTransformer (7)
Input [6]: [hash_partition_key#25, i_brand#18, i_brand_id#17, i_manufact_id#19, i_manufact#20, sum#24]
Arguments: false

(48) VeloxResizeBatches
Input [6]: [hash_partition_key#25, i_brand#18, i_brand_id#17, i_manufact_id#19, i_manufact#20, sum#24]
Arguments: 1024, 2147483647, 10485760

(49) ColumnarExchange
Input [6]: [hash_partition_key#25, i_brand#18, i_brand_id#17, i_manufact_id#19, i_manufact#20, sum#24]
Arguments: hashpartitioning(i_brand#18, i_brand_id#17, i_manufact_id#19, i_manufact#20, 1), ENSURE_REQUIREMENTS, [i_brand#18, i_brand_id#17, i_manufact_id#19, i_manufact#20, sum#24], [plan_id=6], [shuffle_writer_type=hash]

(50) InputAdapter
Input [5]: [i_brand#18, i_brand_id#17, i_manufact_id#19, i_manufact#20, sum#24]

(51) InputIteratorTransformer
Input [5]: [i_brand#18, i_brand_id#17, i_manufact_id#19, i_manufact#20, sum#24]

(52) RegularHashAggregateExecTransformer
Input [5]: [i_brand#18, i_brand_id#17, i_manufact_id#19, i_manufact#20, sum#24]
Keys [4]: [i_brand#18, i_brand_id#17, i_manufact_id#19, i_manufact#20]
Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#7))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#7))#26]
Results [5]: [i_brand#18, i_brand_id#17, i_manufact_id#19, i_manufact#20, sum(UnscaledValue(ss_ext_sales_price#7))#26]

(53) ProjectExecTransformer
Output [5]: [i_brand_id#17 AS brand_id#27, i_brand#18 AS brand#28, i_manufact_id#19, i_manufact#20, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#7))#26,17,2) AS ext_price#29]
Input [5]: [i_brand#18, i_brand_id#17, i_manufact_id#19, i_manufact#20, sum(UnscaledValue(ss_ext_sales_price#7))#26]

(54) WholeStageCodegenTransformer (8)
Input [5]: [brand_id#27, brand#28, i_manufact_id#19, i_manufact#20, ext_price#29]
Arguments: false

(55) TakeOrderedAndProjectExecTransformer
Input [5]: [brand_id#27, brand#28, i_manufact_id#19, i_manufact#20, ext_price#29]
Arguments: 100, [ext_price#29 DESC NULLS LAST, brand#28 ASC NULLS FIRST, brand_id#27 ASC NULLS FIRST, i_manufact_id#19 ASC NULLS FIRST, i_manufact#20 ASC NULLS FIRST], [brand_id#27, brand#28, i_manufact_id#19, i_manufact#20, ext_price#29], 0

(56) VeloxColumnarToRow
Input [5]: [brand_id#27, brand#28, i_manufact_id#19, i_manufact#20, ext_price#29]

===== Subqueries =====

Subquery:1 Hosting operator id = 8 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9
ReusedExchange (57)


(57) ReusedExchange [Reuses operator id: 5]
Output [1]: [d_date_sk#1]


