== Physical Plan ==
VeloxColumnarToRow (53)
+- TakeOrderedAndProjectExecTransformer (52)
   +- ^ ProjectExecTransformer (50)
      +- ^ RegularHashAggregateExecTransformer (49)
         +- ^ InputIteratorTransformer (48)
            +- ColumnarExchange (46)
               +- VeloxResizeBatches (45)
                  +- ^ ProjectExecTransformer (43)
                     +- ^ FlushableHashAggregateExecTransformer (42)
                        +- ^ ProjectExecTransformer (41)
                           +- ^ FilterExecTransformer (40)
                              +- ^ BroadcastHashJoinExecTransformer ExistenceJoin(exists#1) BuildRight (39)
                                 :- ^ ProjectExecTransformer (31)
                                 :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (30)
                                 :     :- ^ 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.web_sales (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.customer_address (11)
                                 :     :     +- ^ InputIteratorTransformer (21)
                                 :     :        +- ReusedExchange (19)
                                 :     +- ^ InputIteratorTransformer (29)
                                 :        +- ColumnarBroadcastExchange (27)
                                 :           +- ^ FilterExecTransformer (25)
                                 :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (24)
                                 +- ^ InputIteratorTransformer (38)
                                    +- ColumnarBroadcastExchange (36)
                                       +- ^ ProjectExecTransformer (34)
                                          +- ^ FilterExecTransformer (33)
                                             +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.item (32)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.web_sales
Output [4]: [ws_item_sk#2, ws_bill_customer_sk#3, ws_sales_price#4, ws_sold_date_sk#5]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#5), dynamicpruningexpression(ws_sold_date_sk#5 IN dynamicpruning#6)]
PushedFilters: [IsNotNull(ws_bill_customer_sk), IsNotNull(ws_item_sk)]
ReadSchema: struct<ws_item_sk:int,ws_bill_customer_sk:int,ws_sales_price:decimal(7,2)>

(2) FilterExecTransformer
Input [4]: [ws_item_sk#2, ws_bill_customer_sk#3, ws_sales_price#4, ws_sold_date_sk#5]
Arguments: (isnotnull(ws_bill_customer_sk#3) AND isnotnull(ws_item_sk#2))

(3) FileSourceScanExecTransformer parquet spark_catalog.default.customer
Output [2]: [c_customer_sk#7, c_current_addr_sk#8]
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>

(4) FilterExecTransformer
Input [2]: [c_customer_sk#7, c_current_addr_sk#8]
Arguments: (isnotnull(c_customer_sk#7) AND isnotnull(c_current_addr_sk#8))

(5) WholeStageCodegenTransformer (2)
Input [2]: [c_customer_sk#7, c_current_addr_sk#8]
Arguments: false

(6) ColumnarBroadcastExchange
Input [2]: [c_customer_sk#7, c_current_addr_sk#8]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=1]

(7) InputAdapter
Input [2]: [c_customer_sk#7, c_current_addr_sk#8]

(8) InputIteratorTransformer
Input [2]: [c_customer_sk#7, c_current_addr_sk#8]

(9) BroadcastHashJoinExecTransformer
Left keys [1]: [ws_bill_customer_sk#3]
Right keys [1]: [c_customer_sk#7]
Join type: Inner
Join condition: None

(10) ProjectExecTransformer
Output [4]: [ws_item_sk#2, ws_sales_price#4, ws_sold_date_sk#5, c_current_addr_sk#8]
Input [6]: [ws_item_sk#2, ws_bill_customer_sk#3, ws_sales_price#4, ws_sold_date_sk#5, c_customer_sk#7, c_current_addr_sk#8]

(11) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [3]: [ca_address_sk#9, ca_city#10, ca_zip#11]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_city:string,ca_zip:string>

(12) FilterExecTransformer
Input [3]: [ca_address_sk#9, ca_city#10, ca_zip#11]
Arguments: isnotnull(ca_address_sk#9)

(13) WholeStageCodegenTransformer (3)
Input [3]: [ca_address_sk#9, ca_city#10, ca_zip#11]
Arguments: false

(14) ColumnarBroadcastExchange
Input [3]: [ca_address_sk#9, ca_city#10, ca_zip#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=2]

(15) InputAdapter
Input [3]: [ca_address_sk#9, ca_city#10, ca_zip#11]

(16) InputIteratorTransformer
Input [3]: [ca_address_sk#9, ca_city#10, ca_zip#11]

(17) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_addr_sk#8]
Right keys [1]: [ca_address_sk#9]
Join type: Inner
Join condition: None

(18) ProjectExecTransformer
Output [5]: [ws_item_sk#2, ws_sales_price#4, ws_sold_date_sk#5, ca_city#10, ca_zip#11]
Input [7]: [ws_item_sk#2, ws_sales_price#4, ws_sold_date_sk#5, c_current_addr_sk#8, ca_address_sk#9, ca_city#10, ca_zip#11]

(19) ReusedExchange [Reuses operator id: 58]
Output [1]: [d_date_sk#12]

(20) InputAdapter
Input [1]: [d_date_sk#12]

(21) InputIteratorTransformer
Input [1]: [d_date_sk#12]

(22) BroadcastHashJoinExecTransformer
Left keys [1]: [ws_sold_date_sk#5]
Right keys [1]: [d_date_sk#12]
Join type: Inner
Join condition: None

(23) ProjectExecTransformer
Output [4]: [ws_item_sk#2, ws_sales_price#4, ca_city#10, ca_zip#11]
Input [6]: [ws_item_sk#2, ws_sales_price#4, ws_sold_date_sk#5, ca_city#10, ca_zip#11, d_date_sk#12]

(24) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [2]: [i_item_sk#13, i_item_id#14]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_item_id:string>

(25) FilterExecTransformer
Input [2]: [i_item_sk#13, i_item_id#14]
Arguments: isnotnull(i_item_sk#13)

(26) WholeStageCodegenTransformer (5)
Input [2]: [i_item_sk#13, i_item_id#14]
Arguments: false

(27) ColumnarBroadcastExchange
Input [2]: [i_item_sk#13, i_item_id#14]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3]

(28) InputAdapter
Input [2]: [i_item_sk#13, i_item_id#14]

(29) InputIteratorTransformer
Input [2]: [i_item_sk#13, i_item_id#14]

(30) BroadcastHashJoinExecTransformer
Left keys [1]: [ws_item_sk#2]
Right keys [1]: [i_item_sk#13]
Join type: Inner
Join condition: None

(31) ProjectExecTransformer
Output [4]: [ws_sales_price#4, ca_city#10, ca_zip#11, i_item_id#14]
Input [6]: [ws_item_sk#2, ws_sales_price#4, ca_city#10, ca_zip#11, i_item_sk#13, i_item_id#14]

(32) FileSourceScanExecTransformer parquet spark_catalog.default.item
Output [2]: [i_item_sk#15, i_item_id#16]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/item]
PushedFilters: [In(i_item_sk, [11,13,17,19,2,23,29,3,5,7])]
ReadSchema: struct<i_item_sk:int,i_item_id:string>

(33) FilterExecTransformer
Input [2]: [i_item_sk#15, i_item_id#16]
Arguments: i_item_sk#15 IN (2,3,5,7,11,13,17,19,23,29)

(34) ProjectExecTransformer
Output [1]: [i_item_id#16]
Input [2]: [i_item_sk#15, i_item_id#16]

(35) WholeStageCodegenTransformer (6)
Input [1]: [i_item_id#16]
Arguments: false

(36) ColumnarBroadcastExchange
Input [1]: [i_item_id#16]
Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=4]

(37) InputAdapter
Input [1]: [i_item_id#16]

(38) InputIteratorTransformer
Input [1]: [i_item_id#16]

(39) BroadcastHashJoinExecTransformer
Left keys [1]: [i_item_id#14]
Right keys [1]: [i_item_id#16]
Join type: ExistenceJoin(exists#1)
Join condition: None

(40) FilterExecTransformer
Input [5]: [ws_sales_price#4, ca_city#10, ca_zip#11, i_item_id#14, exists#1]
Arguments: (substr(ca_zip#11, 1, 5) IN (85669,86197,88274,83405,86475,85392,85460,80348,81792) OR exists#1)

(41) ProjectExecTransformer
Output [3]: [ca_city#10, ca_zip#11, UnscaledValue(ws_sales_price#4) AS _pre_1#17]
Input [5]: [ws_sales_price#4, ca_city#10, ca_zip#11, i_item_id#14, exists#1]

(42) FlushableHashAggregateExecTransformer
Input [3]: [ca_city#10, ca_zip#11, _pre_1#17]
Keys [2]: [ca_zip#11, ca_city#10]
Functions [1]: [partial_sum(_pre_1#17)]
Aggregate Attributes [1]: [sum#18]
Results [3]: [ca_zip#11, ca_city#10, sum#19]

(43) ProjectExecTransformer
Output [4]: [hash(ca_zip#11, ca_city#10, 42) AS hash_partition_key#20, ca_zip#11, ca_city#10, sum#19]
Input [3]: [ca_zip#11, ca_city#10, sum#19]

(44) WholeStageCodegenTransformer (7)
Input [4]: [hash_partition_key#20, ca_zip#11, ca_city#10, sum#19]
Arguments: false

(45) VeloxResizeBatches
Input [4]: [hash_partition_key#20, ca_zip#11, ca_city#10, sum#19]
Arguments: 1024, 2147483647, 10485760

(46) ColumnarExchange
Input [4]: [hash_partition_key#20, ca_zip#11, ca_city#10, sum#19]
Arguments: hashpartitioning(ca_zip#11, ca_city#10, 1), ENSURE_REQUIREMENTS, [ca_zip#11, ca_city#10, sum#19], [plan_id=5], [shuffle_writer_type=hash]

(47) InputAdapter
Input [3]: [ca_zip#11, ca_city#10, sum#19]

(48) InputIteratorTransformer
Input [3]: [ca_zip#11, ca_city#10, sum#19]

(49) RegularHashAggregateExecTransformer
Input [3]: [ca_zip#11, ca_city#10, sum#19]
Keys [2]: [ca_zip#11, ca_city#10]
Functions [1]: [sum(UnscaledValue(ws_sales_price#4))]
Aggregate Attributes [1]: [sum(UnscaledValue(ws_sales_price#4))#21]
Results [3]: [ca_zip#11, ca_city#10, sum(UnscaledValue(ws_sales_price#4))#21]

(50) ProjectExecTransformer
Output [3]: [ca_zip#11, ca_city#10, MakeDecimal(sum(UnscaledValue(ws_sales_price#4))#21,17,2) AS sum(ws_sales_price)#22]
Input [3]: [ca_zip#11, ca_city#10, sum(UnscaledValue(ws_sales_price#4))#21]

(51) WholeStageCodegenTransformer (8)
Input [3]: [ca_zip#11, ca_city#10, sum(ws_sales_price)#22]
Arguments: false

(52) TakeOrderedAndProjectExecTransformer
Input [3]: [ca_zip#11, ca_city#10, sum(ws_sales_price)#22]
Arguments: 100, [ca_zip#11 ASC NULLS FIRST, ca_city#10 ASC NULLS FIRST], [ca_zip#11, ca_city#10, sum(ws_sales_price)#22], 0

(53) VeloxColumnarToRow
Input [3]: [ca_zip#11, ca_city#10, sum(ws_sales_price)#22]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#5 IN dynamicpruning#6
ColumnarBroadcastExchange (58)
+- ^ ProjectExecTransformer (56)
   +- ^ FilterExecTransformer (55)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (54)


(54) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#12, d_year#23, d_qoy#24]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,2), EqualTo(d_year,2001), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_qoy:int>

(55) FilterExecTransformer
Input [3]: [d_date_sk#12, d_year#23, d_qoy#24]
Arguments: ((((isnotnull(d_qoy#24) AND isnotnull(d_year#23)) AND (d_qoy#24 = 2)) AND (d_year#23 = 2001)) AND isnotnull(d_date_sk#12))

(56) ProjectExecTransformer
Output [1]: [d_date_sk#12]
Input [3]: [d_date_sk#12, d_year#23, d_qoy#24]

(57) WholeStageCodegenTransformer (1)
Input [1]: [d_date_sk#12]
Arguments: false

(58) ColumnarBroadcastExchange
Input [1]: [d_date_sk#12]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6]


