== Physical Plan ==
TakeOrderedAndProject (65)
+- * Project (64)
   +- Window (63)
      +- * CometColumnarToRow (62)
         +- CometSort (61)
            +- CometExchange (60)
               +- CometHashAggregate (59)
                  +- CometColumnarExchange (58)
                     +- * HashAggregate (57)
                        +- Union (56)
                           :- * HashAggregate (41)
                           :  +- * CometColumnarToRow (40)
                           :     +- CometColumnarExchange (39)
                           :        +- * HashAggregate (38)
                           :           +- * Project (37)
                           :              +- * BroadcastHashJoin Inner BuildRight (36)
                           :                 :- * Project (6)
                           :                 :  +- * BroadcastHashJoin Inner BuildRight (5)
                           :                 :     :- * Filter (3)
                           :                 :     :  +- * ColumnarToRow (2)
                           :                 :     :     +- Scan parquet spark_catalog.default.store_sales (1)
                           :                 :     +- ReusedExchange (4)
                           :                 +- BroadcastExchange (35)
                           :                    +- * Project (34)
                           :                       +- * BroadcastHashJoin LeftSemi BuildRight (33)
                           :                          :- * CometColumnarToRow (9)
                           :                          :  +- CometFilter (8)
                           :                          :     +- CometNativeScan parquet spark_catalog.default.store (7)
                           :                          +- BroadcastExchange (32)
                           :                             +- * Project (31)
                           :                                +- * Filter (30)
                           :                                   +- Window (29)
                           :                                      +- WindowGroupLimit (28)
                           :                                         +- * Sort (27)
                           :                                            +- * HashAggregate (26)
                           :                                               +- * CometColumnarToRow (25)
                           :                                                  +- CometColumnarExchange (24)
                           :                                                     +- * HashAggregate (23)
                           :                                                        +- * Project (22)
                           :                                                           +- * BroadcastHashJoin Inner BuildRight (21)
                           :                                                              :- * Project (19)
                           :                                                              :  +- * BroadcastHashJoin Inner BuildRight (18)
                           :                                                              :     :- * Filter (12)
                           :                                                              :     :  +- * ColumnarToRow (11)
                           :                                                              :     :     +- Scan parquet spark_catalog.default.store_sales (10)
                           :                                                              :     +- BroadcastExchange (17)
                           :                                                              :        +- * CometColumnarToRow (16)
                           :                                                              :           +- CometProject (15)
                           :                                                              :              +- CometFilter (14)
                           :                                                              :                 +- CometNativeScan parquet spark_catalog.default.store (13)
                           :                                                              +- ReusedExchange (20)
                           :- * HashAggregate (48)
                           :  +- * CometColumnarToRow (47)
                           :     +- CometColumnarExchange (46)
                           :        +- * HashAggregate (45)
                           :           +- * HashAggregate (44)
                           :              +- * CometColumnarToRow (43)
                           :                 +- ReusedExchange (42)
                           +- * HashAggregate (55)
                              +- * CometColumnarToRow (54)
                                 +- CometColumnarExchange (53)
                                    +- * HashAggregate (52)
                                       +- * HashAggregate (51)
                                          +- * CometColumnarToRow (50)
                                             +- ReusedExchange (49)


(1) Scan parquet spark_catalog.default.store_sales
Output [3]: [ss_store_sk#1, ss_net_profit#2, ss_sold_date_sk#3]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#3), dynamicpruningexpression(ss_sold_date_sk#3 IN dynamicpruning#4)]
PushedFilters: [IsNotNull(ss_store_sk)]
ReadSchema: struct<ss_store_sk:int,ss_net_profit:decimal(7,2)>

(2) ColumnarToRow [codegen id : 8]
Input [3]: [ss_store_sk#1, ss_net_profit#2, ss_sold_date_sk#3]

(3) Filter [codegen id : 8]
Input [3]: [ss_store_sk#1, ss_net_profit#2, ss_sold_date_sk#3]
Condition : isnotnull(ss_store_sk#1)

(4) ReusedExchange [Reuses operator id: 70]
Output [1]: [d_date_sk#5]

(5) BroadcastHashJoin [codegen id : 8]
Left keys [1]: [ss_sold_date_sk#3]
Right keys [1]: [d_date_sk#5]
Join type: Inner
Join condition: None

(6) Project [codegen id : 8]
Output [2]: [ss_store_sk#1, ss_net_profit#2]
Input [4]: [ss_store_sk#1, ss_net_profit#2, ss_sold_date_sk#3, d_date_sk#5]

(7) CometNativeScan parquet spark_catalog.default.store
Output [3]: [s_store_sk#6, s_county#7, s_state#8]
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>

(8) CometFilter
Input [3]: [s_store_sk#6, s_county#7, s_state#8]
Condition : isnotnull(s_store_sk#6)

(9) CometColumnarToRow [codegen id : 7]
Input [3]: [s_store_sk#6, s_county#7, s_state#8]

(10) Scan parquet spark_catalog.default.store_sales
Output [3]: [ss_store_sk#9, ss_net_profit#10, ss_sold_date_sk#11]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#11), dynamicpruningexpression(ss_sold_date_sk#11 IN dynamicpruning#4)]
PushedFilters: [IsNotNull(ss_store_sk)]
ReadSchema: struct<ss_store_sk:int,ss_net_profit:decimal(7,2)>

(11) ColumnarToRow [codegen id : 4]
Input [3]: [ss_store_sk#9, ss_net_profit#10, ss_sold_date_sk#11]

(12) Filter [codegen id : 4]
Input [3]: [ss_store_sk#9, ss_net_profit#10, ss_sold_date_sk#11]
Condition : isnotnull(ss_store_sk#9)

(13) CometNativeScan parquet spark_catalog.default.store
Output [2]: [s_store_sk#12, s_state#13]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_state:string>

(14) CometFilter
Input [2]: [s_store_sk#12, s_state#13]
Condition : isnotnull(s_store_sk#12)

(15) CometProject
Input [2]: [s_store_sk#12, s_state#13]
Arguments: [s_store_sk#12, s_state#14], [s_store_sk#12, static_invoke(CharVarcharCodegenUtils.readSidePadding(s_state#13, 2)) AS s_state#14]

(16) CometColumnarToRow [codegen id : 2]
Input [2]: [s_store_sk#12, s_state#14]

(17) BroadcastExchange
Input [2]: [s_store_sk#12, s_state#14]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=1]

(18) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [ss_store_sk#9]
Right keys [1]: [s_store_sk#12]
Join type: Inner
Join condition: None

(19) Project [codegen id : 4]
Output [3]: [ss_net_profit#10, ss_sold_date_sk#11, s_state#14]
Input [5]: [ss_store_sk#9, ss_net_profit#10, ss_sold_date_sk#11, s_store_sk#12, s_state#14]

(20) ReusedExchange [Reuses operator id: 70]
Output [1]: [d_date_sk#15]

(21) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [ss_sold_date_sk#11]
Right keys [1]: [d_date_sk#15]
Join type: Inner
Join condition: None

(22) Project [codegen id : 4]
Output [2]: [ss_net_profit#10, s_state#14]
Input [4]: [ss_net_profit#10, ss_sold_date_sk#11, s_state#14, d_date_sk#15]

(23) HashAggregate [codegen id : 4]
Input [2]: [ss_net_profit#10, s_state#14]
Keys [1]: [s_state#14]
Functions [1]: [partial_sum(UnscaledValue(ss_net_profit#10))]
Aggregate Attributes [1]: [sum#16]
Results [2]: [s_state#14, sum#17]

(24) CometColumnarExchange
Input [2]: [s_state#14, sum#17]
Arguments: hashpartitioning(s_state#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2]

(25) CometColumnarToRow [codegen id : 5]
Input [2]: [s_state#14, sum#17]

(26) HashAggregate [codegen id : 5]
Input [2]: [s_state#14, sum#17]
Keys [1]: [s_state#14]
Functions [1]: [sum(UnscaledValue(ss_net_profit#10))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#10))#18]
Results [3]: [s_state#14, MakeDecimal(sum(UnscaledValue(ss_net_profit#10))#18,17,2) AS _w0#19, s_state#14]

(27) Sort [codegen id : 5]
Input [3]: [s_state#14, _w0#19, s_state#14]
Arguments: [s_state#14 ASC NULLS FIRST, _w0#19 DESC NULLS LAST], false, 0

(28) WindowGroupLimit
Input [3]: [s_state#14, _w0#19, s_state#14]
Arguments: [s_state#14], [_w0#19 DESC NULLS LAST], rank(_w0#19), 5, Final

(29) Window
Input [3]: [s_state#14, _w0#19, s_state#14]
Arguments: [rank(_w0#19) windowspecdefinition(s_state#14, _w0#19 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS ranking#20], [s_state#14], [_w0#19 DESC NULLS LAST]

(30) Filter [codegen id : 6]
Input [4]: [s_state#14, _w0#19, s_state#14, ranking#20]
Condition : (ranking#20 <= 5)

(31) Project [codegen id : 6]
Output [1]: [s_state#14]
Input [4]: [s_state#14, _w0#19, s_state#14, ranking#20]

(32) BroadcastExchange
Input [1]: [s_state#14]
Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=3]

(33) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [static_invoke(CharVarcharCodegenUtils.readSidePadding(s_state#8, 2))]
Right keys [1]: [s_state#14]
Join type: LeftSemi
Join condition: None

(34) Project [codegen id : 7]
Output [3]: [s_store_sk#6, s_county#7, static_invoke(CharVarcharCodegenUtils.readSidePadding(s_state#8, 2)) AS s_state#21]
Input [3]: [s_store_sk#6, s_county#7, s_state#8]

(35) BroadcastExchange
Input [3]: [s_store_sk#6, s_county#7, s_state#21]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4]

(36) BroadcastHashJoin [codegen id : 8]
Left keys [1]: [ss_store_sk#1]
Right keys [1]: [s_store_sk#6]
Join type: Inner
Join condition: None

(37) Project [codegen id : 8]
Output [3]: [ss_net_profit#2, s_county#7, s_state#21]
Input [5]: [ss_store_sk#1, ss_net_profit#2, s_store_sk#6, s_county#7, s_state#21]

(38) HashAggregate [codegen id : 8]
Input [3]: [ss_net_profit#2, s_county#7, s_state#21]
Keys [2]: [s_state#21, s_county#7]
Functions [1]: [partial_sum(UnscaledValue(ss_net_profit#2))]
Aggregate Attributes [1]: [sum#22]
Results [3]: [s_state#21, s_county#7, sum#23]

(39) CometColumnarExchange
Input [3]: [s_state#21, s_county#7, sum#23]
Arguments: hashpartitioning(s_state#21, s_county#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5]

(40) CometColumnarToRow [codegen id : 9]
Input [3]: [s_state#21, s_county#7, sum#23]

(41) HashAggregate [codegen id : 9]
Input [3]: [s_state#21, s_county#7, sum#23]
Keys [2]: [s_state#21, s_county#7]
Functions [1]: [sum(UnscaledValue(ss_net_profit#2))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#24]
Results [6]: [cast(MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#24,17,2) as decimal(27,2)) AS total_sum#25, s_state#21 AS s_state#26, s_county#7 AS s_county#27, 0 AS g_state#28, 0 AS g_county#29, 0 AS lochierarchy#30]

(42) ReusedExchange [Reuses operator id: 39]
Output [3]: [s_state#31, s_county#32, sum#33]

(43) CometColumnarToRow [codegen id : 18]
Input [3]: [s_state#31, s_county#32, sum#33]

(44) HashAggregate [codegen id : 18]
Input [3]: [s_state#31, s_county#32, sum#33]
Keys [2]: [s_state#31, s_county#32]
Functions [1]: [sum(UnscaledValue(ss_net_profit#34))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#34))#24]
Results [2]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#34))#24,17,2) AS total_sum#35, s_state#31]

(45) HashAggregate [codegen id : 18]
Input [2]: [total_sum#35, s_state#31]
Keys [1]: [s_state#31]
Functions [1]: [partial_sum(total_sum#35)]
Aggregate Attributes [2]: [sum#36, isEmpty#37]
Results [3]: [s_state#31, sum#38, isEmpty#39]

(46) CometColumnarExchange
Input [3]: [s_state#31, sum#38, isEmpty#39]
Arguments: hashpartitioning(s_state#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6]

(47) CometColumnarToRow [codegen id : 19]
Input [3]: [s_state#31, sum#38, isEmpty#39]

(48) HashAggregate [codegen id : 19]
Input [3]: [s_state#31, sum#38, isEmpty#39]
Keys [1]: [s_state#31]
Functions [1]: [sum(total_sum#35)]
Aggregate Attributes [1]: [sum(total_sum#35)#40]
Results [6]: [sum(total_sum#35)#40 AS total_sum#41, s_state#31, null AS s_county#42, 0 AS g_state#43, 1 AS g_county#44, 1 AS lochierarchy#45]

(49) ReusedExchange [Reuses operator id: 39]
Output [3]: [s_state#46, s_county#47, sum#48]

(50) CometColumnarToRow [codegen id : 28]
Input [3]: [s_state#46, s_county#47, sum#48]

(51) HashAggregate [codegen id : 28]
Input [3]: [s_state#46, s_county#47, sum#48]
Keys [2]: [s_state#46, s_county#47]
Functions [1]: [sum(UnscaledValue(ss_net_profit#49))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#49))#24]
Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#49))#24,17,2) AS total_sum#50]

(52) HashAggregate [codegen id : 28]
Input [1]: [total_sum#50]
Keys: []
Functions [1]: [partial_sum(total_sum#50)]
Aggregate Attributes [2]: [sum#51, isEmpty#52]
Results [2]: [sum#53, isEmpty#54]

(53) CometColumnarExchange
Input [2]: [sum#53, isEmpty#54]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7]

(54) CometColumnarToRow [codegen id : 29]
Input [2]: [sum#53, isEmpty#54]

(55) HashAggregate [codegen id : 29]
Input [2]: [sum#53, isEmpty#54]
Keys: []
Functions [1]: [sum(total_sum#50)]
Aggregate Attributes [1]: [sum(total_sum#50)#55]
Results [6]: [sum(total_sum#50)#55 AS total_sum#56, null AS s_state#57, null AS s_county#58, 1 AS g_state#59, 1 AS g_county#60, 2 AS lochierarchy#61]

(56) Union

(57) HashAggregate [codegen id : 30]
Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30]
Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30]
Functions: []
Aggregate Attributes: []
Results [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30]

(58) CometColumnarExchange
Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30]
Arguments: hashpartitioning(total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8]

(59) CometHashAggregate
Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30]
Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30]
Functions: []

(60) CometExchange
Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62]
Arguments: hashpartitioning(lochierarchy#30, _w0#62, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9]

(61) CometSort
Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62]
Arguments: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62], [lochierarchy#30 ASC NULLS FIRST, _w0#62 ASC NULLS FIRST, total_sum#25 DESC NULLS LAST]

(62) CometColumnarToRow [codegen id : 31]
Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62]

(63) Window
Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62]
Arguments: [rank(total_sum#25) windowspecdefinition(lochierarchy#30, _w0#62, total_sum#25 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#63], [lochierarchy#30, _w0#62], [total_sum#25 DESC NULLS LAST]

(64) Project [codegen id : 32]
Output [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#63]
Input [6]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62, rank_within_parent#63]

(65) TakeOrderedAndProject
Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#63]
Arguments: 100, [lochierarchy#30 DESC NULLS LAST, CASE WHEN (lochierarchy#30 = 0) THEN s_state#26 END ASC NULLS FIRST, rank_within_parent#63 ASC NULLS FIRST], [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#63]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4
BroadcastExchange (70)
+- * CometColumnarToRow (69)
   +- CometProject (68)
      +- CometFilter (67)
         +- CometNativeScan parquet spark_catalog.default.date_dim (66)


(66) CometNativeScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#5, d_month_seq#64]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_month_seq:int>

(67) CometFilter
Input [2]: [d_date_sk#5, d_month_seq#64]
Condition : (((isnotnull(d_month_seq#64) AND (d_month_seq#64 >= 1212)) AND (d_month_seq#64 <= 1223)) AND isnotnull(d_date_sk#5))

(68) CometProject
Input [2]: [d_date_sk#5, d_month_seq#64]
Arguments: [d_date_sk#5], [d_date_sk#5]

(69) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#5]

(70) BroadcastExchange
Input [1]: [d_date_sk#5]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=10]

Subquery:2 Hosting operator id = 10 Hosting Expression = ss_sold_date_sk#11 IN dynamicpruning#4


