== Physical Plan ==
TakeOrderedAndProject (68)
+- * Project (67)
   +- Window (66)
      +- * ColumnarToRow (65)
         +- CometSort (64)
            +- CometColumnarExchange (63)
               +- CometHashAggregate (62)
                  +- CometColumnarExchange (61)
                     +- RowToColumnar (60)
                        +- * HashAggregate (59)
                           +- Union (58)
                              :- * HashAggregate (41)
                              :  +- * ColumnarToRow (40)
                              :     +- CometColumnarExchange (39)
                              :        +- RowToColumnar (38)
                              :           +- * HashAggregate (37)
                              :              +- * Project (36)
                              :                 +- * BroadcastHashJoin Inner BuildRight (35)
                              :                    :- * ColumnarToRow (9)
                              :                    :  +- CometProject (8)
                              :                    :     +- CometBroadcastHashJoin (7)
                              :                    :        :- CometFilter (2)
                              :                    :        :  +- CometScan parquet spark_catalog.default.store_sales (1)
                              :                    :        +- CometBroadcastExchange (6)
                              :                    :           +- CometProject (5)
                              :                    :              +- CometFilter (4)
                              :                    :                 +- CometScan parquet spark_catalog.default.date_dim (3)
                              :                    +- BroadcastExchange (34)
                              :                       +- * BroadcastHashJoin LeftSemi BuildRight (33)
                              :                          :- * ColumnarToRow (12)
                              :                          :  +- CometFilter (11)
                              :                          :     +- CometScan parquet spark_catalog.default.store (10)
                              :                          +- BroadcastExchange (32)
                              :                             +- * Project (31)
                              :                                +- * Filter (30)
                              :                                   +- Window (29)
                              :                                      +- WindowGroupLimit (28)
                              :                                         +- * ColumnarToRow (27)
                              :                                            +- CometSort (26)
                              :                                               +- CometHashAggregate (25)
                              :                                                  +- CometColumnarExchange (24)
                              :                                                     +- CometHashAggregate (23)
                              :                                                        +- CometProject (22)
                              :                                                           +- CometBroadcastHashJoin (21)
                              :                                                              :- CometProject (19)
                              :                                                              :  +- CometBroadcastHashJoin (18)
                              :                                                              :     :- CometFilter (14)
                              :                                                              :     :  +- CometScan parquet spark_catalog.default.store_sales (13)
                              :                                                              :     +- CometBroadcastExchange (17)
                              :                                                              :        +- CometFilter (16)
                              :                                                              :           +- CometScan parquet spark_catalog.default.store (15)
                              :                                                              +- ReusedExchange (20)
                              :- * HashAggregate (49)
                              :  +- * ColumnarToRow (48)
                              :     +- CometColumnarExchange (47)
                              :        +- RowToColumnar (46)
                              :           +- * HashAggregate (45)
                              :              +- * HashAggregate (44)
                              :                 +- * ColumnarToRow (43)
                              :                    +- ReusedExchange (42)
                              +- * HashAggregate (57)
                                 +- * ColumnarToRow (56)
                                    +- CometColumnarExchange (55)
                                       +- RowToColumnar (54)
                                          +- * HashAggregate (53)
                                             +- * HashAggregate (52)
                                                +- * ColumnarToRow (51)
                                                   +- ReusedExchange (50)


(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) CometFilter
Input [3]: [ss_store_sk#1, ss_net_profit#2, ss_sold_date_sk#3]
Condition : isnotnull(ss_store_sk#1)

(3) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#5, d_month_seq#6]
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>

(4) CometFilter
Input [2]: [d_date_sk#5, d_month_seq#6]
Condition : (((isnotnull(d_month_seq#6) AND (d_month_seq#6 >= 1212)) AND (d_month_seq#6 <= 1223)) AND isnotnull(d_date_sk#5))

(5) CometProject
Input [2]: [d_date_sk#5, d_month_seq#6]
Arguments: [d_date_sk#5], [d_date_sk#5]

(6) CometBroadcastExchange
Input [1]: [d_date_sk#5]
Arguments: [d_date_sk#5]

(7) CometBroadcastHashJoin
Left output [3]: [ss_store_sk#1, ss_net_profit#2, ss_sold_date_sk#3]
Right output [1]: [d_date_sk#5]
Arguments: [ss_sold_date_sk#3], [d_date_sk#5], Inner, BuildRight

(8) CometProject
Input [4]: [ss_store_sk#1, ss_net_profit#2, ss_sold_date_sk#3, d_date_sk#5]
Arguments: [ss_store_sk#1, ss_net_profit#2], [ss_store_sk#1, ss_net_profit#2]

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

(10) Scan parquet spark_catalog.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>

(11) CometFilter
Input [3]: [s_store_sk#7, s_county#8, s_state#9]
Condition : isnotnull(s_store_sk#7)

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

(13) Scan parquet spark_catalog.default.store_sales
Output [3]: [ss_store_sk#10, ss_net_profit#11, ss_sold_date_sk#12]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#12), dynamicpruningexpression(ss_sold_date_sk#12 IN dynamicpruning#13)]
PushedFilters: [IsNotNull(ss_store_sk)]
ReadSchema: struct<ss_store_sk:int,ss_net_profit:decimal(7,2)>

(14) CometFilter
Input [3]: [ss_store_sk#10, ss_net_profit#11, ss_sold_date_sk#12]
Condition : isnotnull(ss_store_sk#10)

(15) Scan parquet spark_catalog.default.store
Output [2]: [s_store_sk#14, s_state#15]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_state:string>

(16) CometFilter
Input [2]: [s_store_sk#14, s_state#15]
Condition : isnotnull(s_store_sk#14)

(17) CometBroadcastExchange
Input [2]: [s_store_sk#14, s_state#15]
Arguments: [s_store_sk#14, s_state#15]

(18) CometBroadcastHashJoin
Left output [3]: [ss_store_sk#10, ss_net_profit#11, ss_sold_date_sk#12]
Right output [2]: [s_store_sk#14, s_state#15]
Arguments: [ss_store_sk#10], [s_store_sk#14], Inner, BuildRight

(19) CometProject
Input [5]: [ss_store_sk#10, ss_net_profit#11, ss_sold_date_sk#12, s_store_sk#14, s_state#15]
Arguments: [ss_net_profit#11, ss_sold_date_sk#12, s_state#15], [ss_net_profit#11, ss_sold_date_sk#12, s_state#15]

(20) ReusedExchange [Reuses operator id: 6]
Output [1]: [d_date_sk#16]

(21) CometBroadcastHashJoin
Left output [3]: [ss_net_profit#11, ss_sold_date_sk#12, s_state#15]
Right output [1]: [d_date_sk#16]
Arguments: [ss_sold_date_sk#12], [d_date_sk#16], Inner, BuildRight

(22) CometProject
Input [4]: [ss_net_profit#11, ss_sold_date_sk#12, s_state#15, d_date_sk#16]
Arguments: [ss_net_profit#11, s_state#15], [ss_net_profit#11, s_state#15]

(23) CometHashAggregate
Input [2]: [ss_net_profit#11, s_state#15]
Keys [1]: [s_state#15]
Functions [1]: [partial_sum(UnscaledValue(ss_net_profit#11))]

(24) CometColumnarExchange
Input [2]: [s_state#15, sum#17]
Arguments: hashpartitioning(s_state#15, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1]

(25) CometHashAggregate
Input [2]: [s_state#15, sum#17]
Keys [1]: [s_state#15]
Functions [1]: [sum(UnscaledValue(ss_net_profit#11))]

(26) CometSort
Input [3]: [s_state#15, _w0#18, s_state#15]
Arguments: [s_state#15, _w0#18, s_state#15], [s_state#15 ASC NULLS FIRST, _w0#18 DESC NULLS LAST]

(27) ColumnarToRow [codegen id : 1]
Input [3]: [s_state#15, _w0#18, s_state#15]

(28) WindowGroupLimit
Input [3]: [s_state#15, _w0#18, s_state#15]
Arguments: [s_state#15], [_w0#18 DESC NULLS LAST], rank(_w0#18), 5, Final

(29) Window
Input [3]: [s_state#15, _w0#18, s_state#15]
Arguments: [rank(_w0#18) windowspecdefinition(s_state#15, _w0#18 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS ranking#19], [s_state#15], [_w0#18 DESC NULLS LAST]

(30) Filter [codegen id : 2]
Input [4]: [s_state#15, _w0#18, s_state#15, ranking#19]
Condition : (ranking#19 <= 5)

(31) Project [codegen id : 2]
Output [1]: [s_state#15]
Input [4]: [s_state#15, _w0#18, s_state#15, ranking#19]

(32) BroadcastExchange
Input [1]: [s_state#15]
Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=2]

(33) BroadcastHashJoin [codegen id : 3]
Left keys [1]: [s_state#9]
Right keys [1]: [s_state#15]
Join type: LeftSemi
Join condition: None

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

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

(36) Project [codegen id : 4]
Output [3]: [ss_net_profit#2, s_county#8, s_state#9]
Input [5]: [ss_store_sk#1, ss_net_profit#2, s_store_sk#7, s_county#8, s_state#9]

(37) HashAggregate [codegen id : 4]
Input [3]: [ss_net_profit#2, s_county#8, s_state#9]
Keys [2]: [s_state#9, s_county#8]
Functions [1]: [partial_sum(UnscaledValue(ss_net_profit#2))]
Aggregate Attributes [1]: [sum#20]
Results [3]: [s_state#9, s_county#8, sum#21]

(38) RowToColumnar
Input [3]: [s_state#9, s_county#8, sum#21]

(39) CometColumnarExchange
Input [3]: [s_state#9, s_county#8, sum#21]
Arguments: hashpartitioning(s_state#9, s_county#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4]

(40) ColumnarToRow [codegen id : 5]
Input [3]: [s_state#9, s_county#8, sum#21]

(41) HashAggregate [codegen id : 5]
Input [3]: [s_state#9, s_county#8, sum#21]
Keys [2]: [s_state#9, s_county#8]
Functions [1]: [sum(UnscaledValue(ss_net_profit#2))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#22]
Results [6]: [cast(MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#22,17,2) as decimal(27,2)) AS total_sum#23, s_state#9, s_county#8, 0 AS g_state#24, 0 AS g_county#25, 0 AS lochierarchy#26]

(42) ReusedExchange [Reuses operator id: 39]
Output [3]: [s_state#27, s_county#28, sum#29]

(43) ColumnarToRow [codegen id : 10]
Input [3]: [s_state#27, s_county#28, sum#29]

(44) HashAggregate [codegen id : 10]
Input [3]: [s_state#27, s_county#28, sum#29]
Keys [2]: [s_state#27, s_county#28]
Functions [1]: [sum(UnscaledValue(ss_net_profit#30))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#30))#22]
Results [2]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#30))#22,17,2) AS total_sum#31, s_state#27]

(45) HashAggregate [codegen id : 10]
Input [2]: [total_sum#31, s_state#27]
Keys [1]: [s_state#27]
Functions [1]: [partial_sum(total_sum#31)]
Aggregate Attributes [2]: [sum#32, isEmpty#33]
Results [3]: [s_state#27, sum#34, isEmpty#35]

(46) RowToColumnar
Input [3]: [s_state#27, sum#34, isEmpty#35]

(47) CometColumnarExchange
Input [3]: [s_state#27, sum#34, isEmpty#35]
Arguments: hashpartitioning(s_state#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5]

(48) ColumnarToRow [codegen id : 11]
Input [3]: [s_state#27, sum#34, isEmpty#35]

(49) HashAggregate [codegen id : 11]
Input [3]: [s_state#27, sum#34, isEmpty#35]
Keys [1]: [s_state#27]
Functions [1]: [sum(total_sum#31)]
Aggregate Attributes [1]: [sum(total_sum#31)#36]
Results [6]: [sum(total_sum#31)#36 AS total_sum#37, s_state#27, null AS s_county#38, 0 AS g_state#39, 1 AS g_county#40, 1 AS lochierarchy#41]

(50) ReusedExchange [Reuses operator id: 39]
Output [3]: [s_state#42, s_county#43, sum#44]

(51) ColumnarToRow [codegen id : 16]
Input [3]: [s_state#42, s_county#43, sum#44]

(52) HashAggregate [codegen id : 16]
Input [3]: [s_state#42, s_county#43, sum#44]
Keys [2]: [s_state#42, s_county#43]
Functions [1]: [sum(UnscaledValue(ss_net_profit#45))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#45))#22]
Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#45))#22,17,2) AS total_sum#46]

(53) HashAggregate [codegen id : 16]
Input [1]: [total_sum#46]
Keys: []
Functions [1]: [partial_sum(total_sum#46)]
Aggregate Attributes [2]: [sum#47, isEmpty#48]
Results [2]: [sum#49, isEmpty#50]

(54) RowToColumnar
Input [2]: [sum#49, isEmpty#50]

(55) CometColumnarExchange
Input [2]: [sum#49, isEmpty#50]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6]

(56) ColumnarToRow [codegen id : 17]
Input [2]: [sum#49, isEmpty#50]

(57) HashAggregate [codegen id : 17]
Input [2]: [sum#49, isEmpty#50]
Keys: []
Functions [1]: [sum(total_sum#46)]
Aggregate Attributes [1]: [sum(total_sum#46)#51]
Results [6]: [sum(total_sum#46)#51 AS total_sum#52, null AS s_state#53, null AS s_county#54, 1 AS g_state#55, 1 AS g_county#56, 2 AS lochierarchy#57]

(58) Union

(59) HashAggregate [codegen id : 18]
Input [6]: [total_sum#23, s_state#9, s_county#8, g_state#24, g_county#25, lochierarchy#26]
Keys [6]: [total_sum#23, s_state#9, s_county#8, g_state#24, g_county#25, lochierarchy#26]
Functions: []
Aggregate Attributes: []
Results [6]: [total_sum#23, s_state#9, s_county#8, g_state#24, g_county#25, lochierarchy#26]

(60) RowToColumnar
Input [6]: [total_sum#23, s_state#9, s_county#8, g_state#24, g_county#25, lochierarchy#26]

(61) CometColumnarExchange
Input [6]: [total_sum#23, s_state#9, s_county#8, g_state#24, g_county#25, lochierarchy#26]
Arguments: hashpartitioning(total_sum#23, s_state#9, s_county#8, g_state#24, g_county#25, lochierarchy#26, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7]

(62) CometHashAggregate
Input [6]: [total_sum#23, s_state#9, s_county#8, g_state#24, g_county#25, lochierarchy#26]
Keys [6]: [total_sum#23, s_state#9, s_county#8, g_state#24, g_county#25, lochierarchy#26]
Functions: []

(63) CometColumnarExchange
Input [5]: [total_sum#23, s_state#9, s_county#8, lochierarchy#26, _w0#58]
Arguments: hashpartitioning(lochierarchy#26, _w0#58, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8]

(64) CometSort
Input [5]: [total_sum#23, s_state#9, s_county#8, lochierarchy#26, _w0#58]
Arguments: [total_sum#23, s_state#9, s_county#8, lochierarchy#26, _w0#58], [lochierarchy#26 ASC NULLS FIRST, _w0#58 ASC NULLS FIRST, total_sum#23 DESC NULLS LAST]

(65) ColumnarToRow [codegen id : 19]
Input [5]: [total_sum#23, s_state#9, s_county#8, lochierarchy#26, _w0#58]

(66) Window
Input [5]: [total_sum#23, s_state#9, s_county#8, lochierarchy#26, _w0#58]
Arguments: [rank(total_sum#23) windowspecdefinition(lochierarchy#26, _w0#58, total_sum#23 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#59], [lochierarchy#26, _w0#58], [total_sum#23 DESC NULLS LAST]

(67) Project [codegen id : 20]
Output [5]: [total_sum#23, s_state#9, s_county#8, lochierarchy#26, rank_within_parent#59]
Input [6]: [total_sum#23, s_state#9, s_county#8, lochierarchy#26, _w0#58, rank_within_parent#59]

(68) TakeOrderedAndProject
Input [5]: [total_sum#23, s_state#9, s_county#8, lochierarchy#26, rank_within_parent#59]
Arguments: 100, [lochierarchy#26 DESC NULLS LAST, CASE WHEN (lochierarchy#26 = 0) THEN s_state#9 END ASC NULLS FIRST, rank_within_parent#59 ASC NULLS FIRST], [total_sum#23, s_state#9, s_county#8, lochierarchy#26, rank_within_parent#59]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4
BroadcastExchange (73)
+- * ColumnarToRow (72)
   +- CometProject (71)
      +- CometFilter (70)
         +- CometScan parquet spark_catalog.default.date_dim (69)


(69) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#5, d_month_seq#6]
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>

(70) CometFilter
Input [2]: [d_date_sk#5, d_month_seq#6]
Condition : (((isnotnull(d_month_seq#6) AND (d_month_seq#6 >= 1212)) AND (d_month_seq#6 <= 1223)) AND isnotnull(d_date_sk#5))

(71) CometProject
Input [2]: [d_date_sk#5, d_month_seq#6]
Arguments: [d_date_sk#5], [d_date_sk#5]

(72) ColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#5]

(73) BroadcastExchange
Input [1]: [d_date_sk#5]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9]

Subquery:2 Hosting operator id = 13 Hosting Expression = ss_sold_date_sk#12 IN dynamicpruning#4


