== Physical Plan ==
VeloxColumnarToRow (32)
+- TakeOrderedAndProjectExecTransformer (31)
   +- ^ ProjectExecTransformer (29)
      +- ^ RegularHashAggregateExecTransformer (28)
         +- ^ InputIteratorTransformer (27)
            +- ColumnarExchange (25)
               +- VeloxResizeBatches (24)
                  +- ^ ProjectExecTransformer (22)
                     +- ^ FlushableHashAggregateExecTransformer (21)
                        +- ^ ProjectExecTransformer (20)
                           +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (19)
                              :- ^ ProjectExecTransformer (11)
                              :  +- ^ BroadcastHashJoinExecTransformer Inner BuildRight (10)
                              :     :- ^ ProjectExecTransformer (3)
                              :     :  +- ^ FilterExecTransformer (2)
                              :     :     +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.customer (1)
                              :     +- ^ InputIteratorTransformer (9)
                              :        +- ColumnarBroadcastExchange (7)
                              :           +- ^ FilterExecTransformer (5)
                              :              +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.orders (4)
                              +- ^ InputIteratorTransformer (18)
                                 +- ColumnarBroadcastExchange (16)
                                    +- ^ ProjectExecTransformer (14)
                                       +- ^ FilterExecTransformer (13)
                                          +- ^ FileSourceScanExecTransformer parquet spark_catalog.default.lineitem (12)


(1) FileSourceScanExecTransformer parquet spark_catalog.default.customer
Output [2]: [c_custkey#1, c_mktsegment#2]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/customer]
PushedFilters: [IsNotNull(c_mktsegment), EqualTo(c_mktsegment,BUILDING), IsNotNull(c_custkey)]
ReadSchema: struct<c_custkey:bigint,c_mktsegment:string>

(2) FilterExecTransformer
Input [2]: [c_custkey#1, c_mktsegment#2]
Arguments: ((isnotnull(c_mktsegment#2) AND (c_mktsegment#2 = BUILDING)) AND isnotnull(c_custkey#1))

(3) ProjectExecTransformer
Output [1]: [c_custkey#1]
Input [2]: [c_custkey#1, c_mktsegment#2]

(4) FileSourceScanExecTransformer parquet spark_catalog.default.orders
Output [4]: [o_orderkey#3, o_custkey#4, o_orderdate#5, o_shippriority#6]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/orders]
PushedFilters: [IsNotNull(o_orderdate), LessThan(o_orderdate,1995-03-15), IsNotNull(o_custkey), IsNotNull(o_orderkey)]
ReadSchema: struct<o_orderkey:bigint,o_custkey:bigint,o_orderdate:date,o_shippriority:int>

(5) FilterExecTransformer
Input [4]: [o_orderkey#3, o_custkey#4, o_orderdate#5, o_shippriority#6]
Arguments: (((isnotnull(o_orderdate#5) AND (o_orderdate#5 < 1995-03-15)) AND isnotnull(o_custkey#4)) AND isnotnull(o_orderkey#3))

(6) WholeStageCodegenTransformer (1)
Input [4]: [o_orderkey#3, o_custkey#4, o_orderdate#5, o_shippriority#6]
Arguments: false

(7) ColumnarBroadcastExchange
Input [4]: [o_orderkey#3, o_custkey#4, o_orderdate#5, o_shippriority#6]
Arguments: HashedRelationBroadcastMode(List(input[1, bigint, false]),false), [plan_id=1]

(8) InputAdapter
Input [4]: [o_orderkey#3, o_custkey#4, o_orderdate#5, o_shippriority#6]

(9) InputIteratorTransformer
Input [4]: [o_orderkey#3, o_custkey#4, o_orderdate#5, o_shippriority#6]

(10) BroadcastHashJoinExecTransformer
Left keys [1]: [c_custkey#1]
Right keys [1]: [o_custkey#4]
Join type: Inner
Join condition: None

(11) ProjectExecTransformer
Output [3]: [o_orderkey#3, o_orderdate#5, o_shippriority#6]
Input [5]: [c_custkey#1, o_orderkey#3, o_custkey#4, o_orderdate#5, o_shippriority#6]

(12) FileSourceScanExecTransformer parquet spark_catalog.default.lineitem
Output [4]: [l_orderkey#7, l_extendedprice#8, l_discount#9, l_shipdate#10]
Batched: true
Location: InMemoryFileIndex [{warehouse_dir}/lineitem]
PushedFilters: [IsNotNull(l_shipdate), GreaterThan(l_shipdate,1995-03-15), IsNotNull(l_orderkey)]
ReadSchema: struct<l_orderkey:bigint,l_extendedprice:decimal(10,0),l_discount:decimal(10,0),l_shipdate:date>

(13) FilterExecTransformer
Input [4]: [l_orderkey#7, l_extendedprice#8, l_discount#9, l_shipdate#10]
Arguments: ((isnotnull(l_shipdate#10) AND (l_shipdate#10 > 1995-03-15)) AND isnotnull(l_orderkey#7))

(14) ProjectExecTransformer
Output [3]: [l_orderkey#7, l_extendedprice#8, l_discount#9]
Input [4]: [l_orderkey#7, l_extendedprice#8, l_discount#9, l_shipdate#10]

(15) WholeStageCodegenTransformer (2)
Input [3]: [l_orderkey#7, l_extendedprice#8, l_discount#9]
Arguments: false

(16) ColumnarBroadcastExchange
Input [3]: [l_orderkey#7, l_extendedprice#8, l_discount#9]
Arguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=2]

(17) InputAdapter
Input [3]: [l_orderkey#7, l_extendedprice#8, l_discount#9]

(18) InputIteratorTransformer
Input [3]: [l_orderkey#7, l_extendedprice#8, l_discount#9]

(19) BroadcastHashJoinExecTransformer
Left keys [1]: [o_orderkey#3]
Right keys [1]: [l_orderkey#7]
Join type: Inner
Join condition: None

(20) ProjectExecTransformer
Output [4]: [o_orderdate#5, o_shippriority#6, l_orderkey#7, (l_extendedprice#8 * (1 - l_discount#9)) AS _pre_1#11]
Input [6]: [o_orderkey#3, o_orderdate#5, o_shippriority#6, l_orderkey#7, l_extendedprice#8, l_discount#9]

(21) FlushableHashAggregateExecTransformer
Input [4]: [o_orderdate#5, o_shippriority#6, l_orderkey#7, _pre_1#11]
Keys [3]: [l_orderkey#7, o_orderdate#5, o_shippriority#6]
Functions [1]: [partial_sum(_pre_1#11)]
Aggregate Attributes [2]: [sum#12, isEmpty#13]
Results [5]: [l_orderkey#7, o_orderdate#5, o_shippriority#6, sum#14, isEmpty#15]

(22) ProjectExecTransformer
Output [6]: [hash(l_orderkey#7, o_orderdate#5, o_shippriority#6, 42) AS hash_partition_key#16, l_orderkey#7, o_orderdate#5, o_shippriority#6, sum#14, isEmpty#15]
Input [5]: [l_orderkey#7, o_orderdate#5, o_shippriority#6, sum#14, isEmpty#15]

(23) WholeStageCodegenTransformer (3)
Input [6]: [hash_partition_key#16, l_orderkey#7, o_orderdate#5, o_shippriority#6, sum#14, isEmpty#15]
Arguments: false

(24) VeloxResizeBatches
Input [6]: [hash_partition_key#16, l_orderkey#7, o_orderdate#5, o_shippriority#6, sum#14, isEmpty#15]
Arguments: 1024, 2147483647, 10485760

(25) ColumnarExchange
Input [6]: [hash_partition_key#16, l_orderkey#7, o_orderdate#5, o_shippriority#6, sum#14, isEmpty#15]
Arguments: hashpartitioning(l_orderkey#7, o_orderdate#5, o_shippriority#6, 1), ENSURE_REQUIREMENTS, [l_orderkey#7, o_orderdate#5, o_shippriority#6, sum#14, isEmpty#15], [plan_id=3], [shuffle_writer_type=hash]

(26) InputAdapter
Input [5]: [l_orderkey#7, o_orderdate#5, o_shippriority#6, sum#14, isEmpty#15]

(27) InputIteratorTransformer
Input [5]: [l_orderkey#7, o_orderdate#5, o_shippriority#6, sum#14, isEmpty#15]

(28) RegularHashAggregateExecTransformer
Input [5]: [l_orderkey#7, o_orderdate#5, o_shippriority#6, sum#14, isEmpty#15]
Keys [3]: [l_orderkey#7, o_orderdate#5, o_shippriority#6]
Functions [1]: [sum((l_extendedprice#8 * (1 - l_discount#9)))]
Aggregate Attributes [1]: [sum((l_extendedprice#8 * (1 - l_discount#9)))#17]
Results [4]: [l_orderkey#7, o_orderdate#5, o_shippriority#6, sum((l_extendedprice#8 * (1 - l_discount#9)))#17]

(29) ProjectExecTransformer
Output [4]: [l_orderkey#7, sum((l_extendedprice#8 * (1 - l_discount#9)))#17 AS revenue#18, o_orderdate#5, o_shippriority#6]
Input [4]: [l_orderkey#7, o_orderdate#5, o_shippriority#6, sum((l_extendedprice#8 * (1 - l_discount#9)))#17]

(30) WholeStageCodegenTransformer (4)
Input [4]: [l_orderkey#7, revenue#18, o_orderdate#5, o_shippriority#6]
Arguments: false

(31) TakeOrderedAndProjectExecTransformer
Input [4]: [l_orderkey#7, revenue#18, o_orderdate#5, o_shippriority#6]
Arguments: 10, [revenue#18 DESC NULLS LAST, o_orderdate#5 ASC NULLS FIRST], [l_orderkey#7, revenue#18, o_orderdate#5, o_shippriority#6], 0

(32) VeloxColumnarToRow
Input [4]: [l_orderkey#7, revenue#18, o_orderdate#5, o_shippriority#6]

