== Physical Plan ==
TakeOrderedAndProject (47)
+- * Project (46)
   +- Window (45)
      +- * Sort (44)
         +- Exchange (43)
            +- * HashAggregate (42)
               +- Exchange (41)
                  +- * HashAggregate (40)
                     +- * Expand (39)
                        +- * Project (38)
                           +- * BroadcastHashJoin Inner BuildRight (37)
                              :- * Project (10)
                              :  +- * BroadcastHashJoin Inner BuildRight (9)
                              :     :- * Filter (3)
                              :     :  +- * ColumnarToRow (2)
                              :     :     +- Scan parquet default.store_sales (1)
                              :     +- BroadcastExchange (8)
                              :        +- * Project (7)
                              :           +- * Filter (6)
                              :              +- * ColumnarToRow (5)
                              :                 +- Scan parquet default.date_dim (4)
                              +- BroadcastExchange (36)
                                 +- * BroadcastHashJoin LeftSemi BuildRight (35)
                                    :- * Filter (13)
                                    :  +- * ColumnarToRow (12)
                                    :     +- Scan parquet default.store (11)
                                    +- BroadcastExchange (34)
                                       +- * Project (33)
                                          +- * Filter (32)
                                             +- Window (31)
                                                +- * Sort (30)
                                                   +- Exchange (29)
                                                      +- * HashAggregate (28)
                                                         +- Exchange (27)
                                                            +- * HashAggregate (26)
                                                               +- * Project (25)
                                                                  +- * BroadcastHashJoin Inner BuildRight (24)
                                                                     :- * Project (19)
                                                                     :  +- * BroadcastHashJoin Inner BuildRight (18)
                                                                     :     :- * Filter (16)
                                                                     :     :  +- * ColumnarToRow (15)
                                                                     :     :     +- Scan parquet default.store_sales (14)
                                                                     :     +- ReusedExchange (17)
                                                                     +- BroadcastExchange (23)
                                                                        +- * Filter (22)
                                                                           +- * ColumnarToRow (21)
                                                                              +- Scan parquet default.store (20)


(1) Scan parquet default.store_sales
Output [3]: [ss_sold_date_sk#1, ss_store_sk#2, ss_net_profit#3]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store_sales]
PushedFilters: [IsNotNull(ss_sold_date_sk), IsNotNull(ss_store_sk)]
ReadSchema: struct<ss_sold_date_sk:int,ss_store_sk:int,ss_net_profit:decimal(7,2)>

(2) ColumnarToRow [codegen id : 9]
Input [3]: [ss_sold_date_sk#1, ss_store_sk#2, ss_net_profit#3]

(3) Filter [codegen id : 9]
Input [3]: [ss_sold_date_sk#1, ss_store_sk#2, ss_net_profit#3]
Condition : (isnotnull(ss_sold_date_sk#1) AND isnotnull(ss_store_sk#2))

(4) Scan parquet default.date_dim
Output [2]: [d_date_sk#4, d_month_seq#5]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_month_seq:int>

(5) ColumnarToRow [codegen id : 1]
Input [2]: [d_date_sk#4, d_month_seq#5]

(6) Filter [codegen id : 1]
Input [2]: [d_date_sk#4, d_month_seq#5]
Condition : (((isnotnull(d_month_seq#5) AND (d_month_seq#5 >= 1200)) AND (d_month_seq#5 <= 1211)) AND isnotnull(d_date_sk#4))

(7) Project [codegen id : 1]
Output [1]: [d_date_sk#4]
Input [2]: [d_date_sk#4, d_month_seq#5]

(8) BroadcastExchange
Input [1]: [d_date_sk#4]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#6]

(9) BroadcastHashJoin [codegen id : 9]
Left keys [1]: [ss_sold_date_sk#1]
Right keys [1]: [d_date_sk#4]
Join condition: None

(10) Project [codegen id : 9]
Output [2]: [ss_store_sk#2, ss_net_profit#3]
Input [4]: [ss_sold_date_sk#1, ss_store_sk#2, ss_net_profit#3, d_date_sk#4]

(11) Scan parquet default.store
Output [3]: [s_store_sk#7, s_county#8, s_state#9]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_county:string,s_state:string>

(12) ColumnarToRow [codegen id : 8]
Input [3]: [s_store_sk#7, s_county#8, s_state#9]

(13) Filter [codegen id : 8]
Input [3]: [s_store_sk#7, s_county#8, s_state#9]
Condition : isnotnull(s_store_sk#7)

(14) Scan parquet default.store_sales
Output [3]: [ss_sold_date_sk#1, ss_store_sk#2, ss_net_profit#3]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store_sales]
PushedFilters: [IsNotNull(ss_store_sk), IsNotNull(ss_sold_date_sk)]
ReadSchema: struct<ss_sold_date_sk:int,ss_store_sk:int,ss_net_profit:decimal(7,2)>

(15) ColumnarToRow [codegen id : 4]
Input [3]: [ss_sold_date_sk#1, ss_store_sk#2, ss_net_profit#3]

(16) Filter [codegen id : 4]
Input [3]: [ss_sold_date_sk#1, ss_store_sk#2, ss_net_profit#3]
Condition : (isnotnull(ss_store_sk#2) AND isnotnull(ss_sold_date_sk#1))

(17) ReusedExchange [Reuses operator id: 8]
Output [1]: [d_date_sk#4]

(18) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [ss_sold_date_sk#1]
Right keys [1]: [d_date_sk#4]
Join condition: None

(19) Project [codegen id : 4]
Output [2]: [ss_store_sk#2, ss_net_profit#3]
Input [4]: [ss_sold_date_sk#1, ss_store_sk#2, ss_net_profit#3, d_date_sk#4]

(20) Scan parquet default.store
Output [2]: [s_store_sk#7, s_state#9]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_state:string>

(21) ColumnarToRow [codegen id : 3]
Input [2]: [s_store_sk#7, s_state#9]

(22) Filter [codegen id : 3]
Input [2]: [s_store_sk#7, s_state#9]
Condition : isnotnull(s_store_sk#7)

(23) BroadcastExchange
Input [2]: [s_store_sk#7, s_state#9]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [id=#10]

(24) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [ss_store_sk#2]
Right keys [1]: [s_store_sk#7]
Join condition: None

(25) Project [codegen id : 4]
Output [2]: [ss_net_profit#3, s_state#9]
Input [4]: [ss_store_sk#2, ss_net_profit#3, s_store_sk#7, s_state#9]

(26) HashAggregate [codegen id : 4]
Input [2]: [ss_net_profit#3, s_state#9]
Keys [1]: [s_state#9]
Functions [1]: [partial_sum(UnscaledValue(ss_net_profit#3))]
Aggregate Attributes [1]: [sum#11]
Results [2]: [s_state#9, sum#12]

(27) Exchange
Input [2]: [s_state#9, sum#12]
Arguments: hashpartitioning(s_state#9, 5), true, [id=#13]

(28) HashAggregate [codegen id : 5]
Input [2]: [s_state#9, sum#12]
Keys [1]: [s_state#9]
Functions [1]: [sum(UnscaledValue(ss_net_profit#3))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#3))#14]
Results [3]: [s_state#9 AS s_state#15, s_state#9, MakeDecimal(sum(UnscaledValue(ss_net_profit#3))#14,17,2) AS _w2#16]

(29) Exchange
Input [3]: [s_state#15, s_state#9, _w2#16]
Arguments: hashpartitioning(s_state#9, 5), true, [id=#17]

(30) Sort [codegen id : 6]
Input [3]: [s_state#15, s_state#9, _w2#16]
Arguments: [s_state#9 ASC NULLS FIRST, _w2#16 DESC NULLS LAST], false, 0

(31) Window
Input [3]: [s_state#15, s_state#9, _w2#16]
Arguments: [rank(_w2#16) windowspecdefinition(s_state#9, _w2#16 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS ranking#18], [s_state#9], [_w2#16 DESC NULLS LAST]

(32) Filter [codegen id : 7]
Input [4]: [s_state#15, s_state#9, _w2#16, ranking#18]
Condition : (isnotnull(ranking#18) AND (ranking#18 <= 5))

(33) Project [codegen id : 7]
Output [1]: [s_state#15]
Input [4]: [s_state#15, s_state#9, _w2#16, ranking#18]

(34) BroadcastExchange
Input [1]: [s_state#15]
Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [id=#19]

(35) BroadcastHashJoin [codegen id : 8]
Left keys [1]: [s_state#9]
Right keys [1]: [s_state#15]
Join condition: None

(36) BroadcastExchange
Input [3]: [s_store_sk#7, s_county#8, s_state#9]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [id=#20]

(37) BroadcastHashJoin [codegen id : 9]
Left keys [1]: [ss_store_sk#2]
Right keys [1]: [s_store_sk#7]
Join condition: None

(38) Project [codegen id : 9]
Output [3]: [ss_net_profit#3, s_state#9, s_county#8]
Input [5]: [ss_store_sk#2, ss_net_profit#3, s_store_sk#7, s_county#8, s_state#9]

(39) Expand [codegen id : 9]
Input [3]: [ss_net_profit#3, s_state#9, s_county#8]
Arguments: [List(ss_net_profit#3, s_state#9, s_county#8, 0), List(ss_net_profit#3, s_state#9, null, 1), List(ss_net_profit#3, null, null, 3)], [ss_net_profit#3, s_state#21, s_county#22, spark_grouping_id#23]

(40) HashAggregate [codegen id : 9]
Input [4]: [ss_net_profit#3, s_state#21, s_county#22, spark_grouping_id#23]
Keys [3]: [s_state#21, s_county#22, spark_grouping_id#23]
Functions [1]: [partial_sum(UnscaledValue(ss_net_profit#3))]
Aggregate Attributes [1]: [sum#24]
Results [4]: [s_state#21, s_county#22, spark_grouping_id#23, sum#25]

(41) Exchange
Input [4]: [s_state#21, s_county#22, spark_grouping_id#23, sum#25]
Arguments: hashpartitioning(s_state#21, s_county#22, spark_grouping_id#23, 5), true, [id=#26]

(42) HashAggregate [codegen id : 10]
Input [4]: [s_state#21, s_county#22, spark_grouping_id#23, sum#25]
Keys [3]: [s_state#21, s_county#22, spark_grouping_id#23]
Functions [1]: [sum(UnscaledValue(ss_net_profit#3))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#3))#27]
Results [7]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#3))#27,17,2) AS total_sum#28, s_state#21, s_county#22, (cast((shiftright(spark_grouping_id#23, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#23, 0) & 1) as tinyint)) AS lochierarchy#29, (cast((shiftright(spark_grouping_id#23, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#23, 0) & 1) as tinyint)) AS _w1#30, CASE WHEN (cast(cast((shiftright(spark_grouping_id#23, 0) & 1) as tinyint) as int) = 0) THEN s_state#21 END AS _w2#31, MakeDecimal(sum(UnscaledValue(ss_net_profit#3))#27,17,2) AS _w3#32]

(43) Exchange
Input [7]: [total_sum#28, s_state#21, s_county#22, lochierarchy#29, _w1#30, _w2#31, _w3#32]
Arguments: hashpartitioning(_w1#30, _w2#31, 5), true, [id=#33]

(44) Sort [codegen id : 11]
Input [7]: [total_sum#28, s_state#21, s_county#22, lochierarchy#29, _w1#30, _w2#31, _w3#32]
Arguments: [_w1#30 ASC NULLS FIRST, _w2#31 ASC NULLS FIRST, _w3#32 DESC NULLS LAST], false, 0

(45) Window
Input [7]: [total_sum#28, s_state#21, s_county#22, lochierarchy#29, _w1#30, _w2#31, _w3#32]
Arguments: [rank(_w3#32) windowspecdefinition(_w1#30, _w2#31, _w3#32 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#34], [_w1#30, _w2#31], [_w3#32 DESC NULLS LAST]

(46) Project [codegen id : 12]
Output [5]: [total_sum#28, s_state#21, s_county#22, lochierarchy#29, rank_within_parent#34]
Input [8]: [total_sum#28, s_state#21, s_county#22, lochierarchy#29, _w1#30, _w2#31, _w3#32, rank_within_parent#34]

(47) TakeOrderedAndProject
Input [5]: [total_sum#28, s_state#21, s_county#22, lochierarchy#29, rank_within_parent#34]
Arguments: 100, [lochierarchy#29 DESC NULLS LAST, CASE WHEN (cast(lochierarchy#29 as int) = 0) THEN s_state#21 END ASC NULLS FIRST, rank_within_parent#34 ASC NULLS FIRST], [total_sum#28, s_state#21, s_county#22, lochierarchy#29, rank_within_parent#34]

