== Physical Plan ==
VeloxColumnarToRow (35)
+- TakeOrderedAndProjectExecTransformer (34)
   +- ^ ProjectExecTransformer (32)
      +- ^ RegularHashAggregateExecTransformer (31)
         +- ^ InputIteratorTransformer (30)
            +- ColumnarExchange (28)
               +- VeloxResizeBatches (27)
                  +- ^ ProjectExecTransformer (25)
                     +- ^ FlushableHashAggregateExecTransformer (24)
                        +- ^ 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.catalog_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)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales
Output [3]: [cs_bill_customer_sk#1, cs_sales_price#2, cs_sold_date_sk#3]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#3), dynamicpruningexpression(cs_sold_date_sk#3 IN dynamicpruning#4)]
PushedFilters: [IsNotNull(cs_bill_customer_sk)]
ReadSchema: struct<cs_bill_customer_sk:int,cs_sales_price:decimal(7,2)>

(2) FilterExecTransformer
Input [3]: [cs_bill_customer_sk#1, cs_sales_price#2, cs_sold_date_sk#3]
Arguments: isnotnull(cs_bill_customer_sk#1)

(3) FileSourceScanExecTransformer parquet spark_catalog.default.customer
Output [2]: [c_customer_sk#5, c_current_addr_sk#6]
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#5, c_current_addr_sk#6]
Arguments: (isnotnull(c_customer_sk#5) AND isnotnull(c_current_addr_sk#6))

(5) WholeStageCodegenTransformer (2)
Input [2]: [c_customer_sk#5, c_current_addr_sk#6]
Arguments: false

(6) ColumnarBroadcastExchange
Input [2]: [c_customer_sk#5, c_current_addr_sk#6]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=1]

(7) InputAdapter
Input [2]: [c_customer_sk#5, c_current_addr_sk#6]

(8) InputIteratorTransformer
Input [2]: [c_customer_sk#5, c_current_addr_sk#6]

(9) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_bill_customer_sk#1]
Right keys [1]: [c_customer_sk#5]
Join type: Inner
Join condition: None

(10) ProjectExecTransformer
Output [3]: [cs_sales_price#2, cs_sold_date_sk#3, c_current_addr_sk#6]
Input [5]: [cs_bill_customer_sk#1, cs_sales_price#2, cs_sold_date_sk#3, c_customer_sk#5, c_current_addr_sk#6]

(11) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [3]: [ca_address_sk#7, ca_state#8, ca_zip#9]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer_address]
PushedFilters: [IsNotNull(ca_address_sk)]
ReadSchema: struct<ca_address_sk:int,ca_state:string,ca_zip:string>

(12) FilterExecTransformer
Input [3]: [ca_address_sk#7, ca_state#8, ca_zip#9]
Arguments: isnotnull(ca_address_sk#7)

(13) WholeStageCodegenTransformer (3)
Input [3]: [ca_address_sk#7, ca_state#8, ca_zip#9]
Arguments: false

(14) ColumnarBroadcastExchange
Input [3]: [ca_address_sk#7, ca_state#8, ca_zip#9]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=2]

(15) InputAdapter
Input [3]: [ca_address_sk#7, ca_state#8, ca_zip#9]

(16) InputIteratorTransformer
Input [3]: [ca_address_sk#7, ca_state#8, ca_zip#9]

(17) BroadcastHashJoinExecTransformer
Left keys [1]: [c_current_addr_sk#6]
Right keys [1]: [ca_address_sk#7]
Join type: Inner
Join condition: ((substr(ca_zip#9, 1, 5) IN (85669,86197,88274,83405,86475,85392,85460,80348,81792) OR ca_state#8 IN (CA,WA,GA)) OR (cs_sales_price#2 > 500.00))

(18) ProjectExecTransformer
Output [3]: [cs_sales_price#2, cs_sold_date_sk#3, ca_zip#9]
Input [6]: [cs_sales_price#2, cs_sold_date_sk#3, c_current_addr_sk#6, ca_address_sk#7, ca_state#8, ca_zip#9]

(19) ReusedExchange [Reuses operator id: 40]
Output [1]: [d_date_sk#10]

(20) InputAdapter
Input [1]: [d_date_sk#10]

(21) InputIteratorTransformer
Input [1]: [d_date_sk#10]

(22) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_sold_date_sk#3]
Right keys [1]: [d_date_sk#10]
Join type: Inner
Join condition: None

(23) ProjectExecTransformer
Output [2]: [ca_zip#9, UnscaledValue(cs_sales_price#2) AS _pre_1#11]
Input [4]: [cs_sales_price#2, cs_sold_date_sk#3, ca_zip#9, d_date_sk#10]

(24) FlushableHashAggregateExecTransformer
Input [2]: [ca_zip#9, _pre_1#11]
Keys [1]: [ca_zip#9]
Functions [1]: [partial_sum(_pre_1#11)]
Aggregate Attributes [1]: [sum#12]
Results [2]: [ca_zip#9, sum#13]

(25) ProjectExecTransformer
Output [3]: [hash(ca_zip#9, 42) AS hash_partition_key#14, ca_zip#9, sum#13]
Input [2]: [ca_zip#9, sum#13]

(26) WholeStageCodegenTransformer (5)
Input [3]: [hash_partition_key#14, ca_zip#9, sum#13]
Arguments: false

(27) VeloxResizeBatches
Input [3]: [hash_partition_key#14, ca_zip#9, sum#13]
Arguments: 1024, 2147483647, 10485760

(28) ColumnarExchange
Input [3]: [hash_partition_key#14, ca_zip#9, sum#13]
Arguments: hashpartitioning(ca_zip#9, 1), ENSURE_REQUIREMENTS, [ca_zip#9, sum#13], [plan_id=3], [shuffle_writer_type=hash]

(29) InputAdapter
Input [2]: [ca_zip#9, sum#13]

(30) InputIteratorTransformer
Input [2]: [ca_zip#9, sum#13]

(31) RegularHashAggregateExecTransformer
Input [2]: [ca_zip#9, sum#13]
Keys [1]: [ca_zip#9]
Functions [1]: [sum(UnscaledValue(cs_sales_price#2))]
Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#2))#15]
Results [2]: [ca_zip#9, sum(UnscaledValue(cs_sales_price#2))#15]

(32) ProjectExecTransformer
Output [2]: [ca_zip#9, MakeDecimal(sum(UnscaledValue(cs_sales_price#2))#15,17,2) AS sum(cs_sales_price)#16]
Input [2]: [ca_zip#9, sum(UnscaledValue(cs_sales_price#2))#15]

(33) WholeStageCodegenTransformer (6)
Input [2]: [ca_zip#9, sum(cs_sales_price)#16]
Arguments: false

(34) TakeOrderedAndProjectExecTransformer
Input [2]: [ca_zip#9, sum(cs_sales_price)#16]
Arguments: 100, [ca_zip#9 ASC NULLS FIRST], [ca_zip#9, sum(cs_sales_price)#16], 0

(35) VeloxColumnarToRow
Input [2]: [ca_zip#9, sum(cs_sales_price)#16]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#3 IN dynamicpruning#4
ColumnarBroadcastExchange (40)
+- ^ ProjectExecTransformer (38)
   +- ^ FilterExecTransformer (37)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (36)


(36) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#10, d_year#17, d_qoy#18]
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>

(37) FilterExecTransformer
Input [3]: [d_date_sk#10, d_year#17, d_qoy#18]
Arguments: ((((isnotnull(d_qoy#18) AND isnotnull(d_year#17)) AND (d_qoy#18 = 2)) AND (d_year#17 = 2001)) AND isnotnull(d_date_sk#10))

(38) ProjectExecTransformer
Output [1]: [d_date_sk#10]
Input [3]: [d_date_sk#10, d_year#17, d_qoy#18]

(39) WholeStageCodegenTransformer (1)
Input [1]: [d_date_sk#10]
Arguments: false

(40) ColumnarBroadcastExchange
Input [1]: [d_date_sk#10]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4]


