== Physical Plan ==
VeloxColumnarToRow (49)
+- TakeOrderedAndProjectExecTransformer (48)
   +- ^ ProjectExecTransformer (46)
      +- ^ RegularHashAggregateExecTransformer (45)
         +- ^ InputIteratorTransformer (44)
            +- ColumnarExchange (42)
               +- VeloxResizeBatches (41)
                  +- ^ ProjectExecTransformer (39)
                     +- ^ FlushableHashAggregateExecTransformer (38)
                        +- ^ ProjectExecTransformer (37)
                           +- ^ ShuffledHashJoinExecTransformer Inner BuildRight (36)
                              :- ^ InputIteratorTransformer (12)
                              :  +- ColumnarExchange (10)
                              :     +- VeloxResizeBatches (9)
                              :        +- ^ ProjectExecTransformer (7)
                              :           +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (6)
                              :              :- ^ FilterExecTransformer (2)
                              :              :  +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.catalog_sales (1)
                              :              +- ^ InputIteratorTransformer (5)
                              :                 +- ReusedExchange (3)
                              +- ^ InputIteratorTransformer (35)
                                 +- ColumnarExchange (33)
                                    +- VeloxResizeBatches (32)
                                       +- ^ ProjectExecTransformer (30)
                                          +- ^ ShuffledHashJoinExecTransformer Inner BuildLeft (29)
                                             :- ^ InputIteratorTransformer (20)
                                             :  +- ColumnarExchange (18)
                                             :     +- VeloxResizeBatches (17)
                                             :        +- ^ ProjectExecTransformer (15)
                                             :           +- ^ FilterExecTransformer (14)
                                             :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer (13)
                                             +- ^ InputIteratorTransformer (28)
                                                +- ColumnarExchange (26)
                                                   +- VeloxResizeBatches (25)
                                                      +- ^ ProjectExecTransformer (23)
                                                         +- ^ FilterExecTransformer (22)
                                                            +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer_address (21)


(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) ReusedExchange [Reuses operator id: 54]
Output [1]: [d_date_sk#5]

(4) InputAdapter
Input [1]: [d_date_sk#5]

(5) InputIteratorTransformer
Input [1]: [d_date_sk#5]

(6) BroadcastHashJoinExecTransformer
Left keys [1]: [cs_sold_date_sk#3]
Right keys [1]: [d_date_sk#5]
Join type: Inner
Join condition: None

(7) ProjectExecTransformer
Output [3]: [hash(cs_bill_customer_sk#1, 42) AS hash_partition_key#6, cs_bill_customer_sk#1, cs_sales_price#2]
Input [4]: [cs_bill_customer_sk#1, cs_sales_price#2, cs_sold_date_sk#3, d_date_sk#5]

(8) WholeStageCodegenTransformer (3)
Input [3]: [hash_partition_key#6, cs_bill_customer_sk#1, cs_sales_price#2]
Arguments: false

(9) VeloxResizeBatches
Input [3]: [hash_partition_key#6, cs_bill_customer_sk#1, cs_sales_price#2]
Arguments: 1024, 2147483647, 10485760

(10) ColumnarExchange
Input [3]: [hash_partition_key#6, cs_bill_customer_sk#1, cs_sales_price#2]
Arguments: hashpartitioning(cs_bill_customer_sk#1, 1), ENSURE_REQUIREMENTS, [cs_bill_customer_sk#1, cs_sales_price#2], [plan_id=1], [shuffle_writer_type=hash]

(11) InputAdapter
Input [2]: [cs_bill_customer_sk#1, cs_sales_price#2]

(12) InputIteratorTransformer
Input [2]: [cs_bill_customer_sk#1, cs_sales_price#2]

(13) 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>

(14) 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))

(15) ProjectExecTransformer
Output [3]: [hash(c_current_addr_sk#8, 42) AS hash_partition_key#9, c_customer_sk#7, c_current_addr_sk#8]
Input [2]: [c_customer_sk#7, c_current_addr_sk#8]

(16) WholeStageCodegenTransformer (4)
Input [3]: [hash_partition_key#9, c_customer_sk#7, c_current_addr_sk#8]
Arguments: false

(17) VeloxResizeBatches
Input [3]: [hash_partition_key#9, c_customer_sk#7, c_current_addr_sk#8]
Arguments: 1024, 2147483647, 10485760

(18) ColumnarExchange
Input [3]: [hash_partition_key#9, c_customer_sk#7, c_current_addr_sk#8]
Arguments: hashpartitioning(c_current_addr_sk#8, 1), ENSURE_REQUIREMENTS, [c_customer_sk#7, c_current_addr_sk#8], [plan_id=2], [shuffle_writer_type=hash]

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

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

(21) FileSourceScanExecTransformer parquet spark_catalog.default.customer_address
Output [3]: [ca_address_sk#10, ca_state#11, ca_zip#12]
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>

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

(23) ProjectExecTransformer
Output [4]: [hash(ca_address_sk#10, 42) AS hash_partition_key#13, ca_address_sk#10, ca_state#11, ca_zip#12]
Input [3]: [ca_address_sk#10, ca_state#11, ca_zip#12]

(24) WholeStageCodegenTransformer (5)
Input [4]: [hash_partition_key#13, ca_address_sk#10, ca_state#11, ca_zip#12]
Arguments: false

(25) VeloxResizeBatches
Input [4]: [hash_partition_key#13, ca_address_sk#10, ca_state#11, ca_zip#12]
Arguments: 1024, 2147483647, 10485760

(26) ColumnarExchange
Input [4]: [hash_partition_key#13, ca_address_sk#10, ca_state#11, ca_zip#12]
Arguments: hashpartitioning(ca_address_sk#10, 1), ENSURE_REQUIREMENTS, [ca_address_sk#10, ca_state#11, ca_zip#12], [plan_id=3], [shuffle_writer_type=hash]

(27) InputAdapter
Input [3]: [ca_address_sk#10, ca_state#11, ca_zip#12]

(28) InputIteratorTransformer
Input [3]: [ca_address_sk#10, ca_state#11, ca_zip#12]

(29) ShuffledHashJoinExecTransformer
Left keys [1]: [c_current_addr_sk#8]
Right keys [1]: [ca_address_sk#10]
Join type: Inner
Join condition: None

(30) ProjectExecTransformer
Output [4]: [hash(c_customer_sk#7, 42) AS hash_partition_key#14, c_customer_sk#7, ca_state#11, ca_zip#12]
Input [5]: [c_customer_sk#7, c_current_addr_sk#8, ca_address_sk#10, ca_state#11, ca_zip#12]

(31) WholeStageCodegenTransformer (6)
Input [4]: [hash_partition_key#14, c_customer_sk#7, ca_state#11, ca_zip#12]
Arguments: false

(32) VeloxResizeBatches
Input [4]: [hash_partition_key#14, c_customer_sk#7, ca_state#11, ca_zip#12]
Arguments: 1024, 2147483647, 10485760

(33) ColumnarExchange
Input [4]: [hash_partition_key#14, c_customer_sk#7, ca_state#11, ca_zip#12]
Arguments: hashpartitioning(c_customer_sk#7, 1), ENSURE_REQUIREMENTS, [c_customer_sk#7, ca_state#11, ca_zip#12], [plan_id=4], [shuffle_writer_type=hash]

(34) InputAdapter
Input [3]: [c_customer_sk#7, ca_state#11, ca_zip#12]

(35) InputIteratorTransformer
Input [3]: [c_customer_sk#7, ca_state#11, ca_zip#12]

(36) ShuffledHashJoinExecTransformer
Left keys [1]: [cs_bill_customer_sk#1]
Right keys [1]: [c_customer_sk#7]
Join type: Inner
Join condition: ((substr(ca_zip#12, 1, 5) IN (85669,86197,88274,83405,86475,85392,85460,80348,81792) OR ca_state#11 IN (CA,WA,GA)) OR (cs_sales_price#2 > 500.00))

(37) ProjectExecTransformer
Output [2]: [ca_zip#12, UnscaledValue(cs_sales_price#2) AS _pre_1#15]
Input [5]: [cs_bill_customer_sk#1, cs_sales_price#2, c_customer_sk#7, ca_state#11, ca_zip#12]

(38) FlushableHashAggregateExecTransformer
Input [2]: [ca_zip#12, _pre_1#15]
Keys [1]: [ca_zip#12]
Functions [1]: [partial_sum(_pre_1#15)]
Aggregate Attributes [1]: [sum#16]
Results [2]: [ca_zip#12, sum#17]

(39) ProjectExecTransformer
Output [3]: [hash(ca_zip#12, 42) AS hash_partition_key#18, ca_zip#12, sum#17]
Input [2]: [ca_zip#12, sum#17]

(40) WholeStageCodegenTransformer (7)
Input [3]: [hash_partition_key#18, ca_zip#12, sum#17]
Arguments: false

(41) VeloxResizeBatches
Input [3]: [hash_partition_key#18, ca_zip#12, sum#17]
Arguments: 1024, 2147483647, 10485760

(42) ColumnarExchange
Input [3]: [hash_partition_key#18, ca_zip#12, sum#17]
Arguments: hashpartitioning(ca_zip#12, 1), ENSURE_REQUIREMENTS, [ca_zip#12, sum#17], [plan_id=5], [shuffle_writer_type=hash]

(43) InputAdapter
Input [2]: [ca_zip#12, sum#17]

(44) InputIteratorTransformer
Input [2]: [ca_zip#12, sum#17]

(45) RegularHashAggregateExecTransformer
Input [2]: [ca_zip#12, sum#17]
Keys [1]: [ca_zip#12]
Functions [1]: [sum(UnscaledValue(cs_sales_price#2))]
Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#2))#19]
Results [2]: [ca_zip#12, sum(UnscaledValue(cs_sales_price#2))#19]

(46) ProjectExecTransformer
Output [2]: [ca_zip#12, MakeDecimal(sum(UnscaledValue(cs_sales_price#2))#19,17,2) AS sum(cs_sales_price)#20]
Input [2]: [ca_zip#12, sum(UnscaledValue(cs_sales_price#2))#19]

(47) WholeStageCodegenTransformer (8)
Input [2]: [ca_zip#12, sum(cs_sales_price)#20]
Arguments: false

(48) TakeOrderedAndProjectExecTransformer
Input [2]: [ca_zip#12, sum(cs_sales_price)#20]
Arguments: 100, [ca_zip#12 ASC NULLS FIRST], [ca_zip#12, sum(cs_sales_price)#20], 0

(49) VeloxColumnarToRow
Input [2]: [ca_zip#12, sum(cs_sales_price)#20]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#3 IN dynamicpruning#4
ColumnarBroadcastExchange (54)
+- ^ ProjectExecTransformer (52)
   +- ^ FilterExecTransformer (51)
      +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.date_dim (50)


(50) FileSourceScanExecTransformer parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#5, d_year#21, d_qoy#22]
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>

(51) FilterExecTransformer
Input [3]: [d_date_sk#5, d_year#21, d_qoy#22]
Arguments: ((((isnotnull(d_qoy#22) AND isnotnull(d_year#21)) AND (d_qoy#22 = 2)) AND (d_year#21 = 2001)) AND isnotnull(d_date_sk#5))

(52) ProjectExecTransformer
Output [1]: [d_date_sk#5]
Input [3]: [d_date_sk#5, d_year#21, d_qoy#22]

(53) WholeStageCodegenTransformer (1)
Input [1]: [d_date_sk#5]
Arguments: false

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


