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


(1) CometScan parquet spark_catalog.default.store
Output [2]: [s_store_sk#1, s_store_name#2]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_store_name:string>

(2) CometFilter
Input [2]: [s_store_sk#1, s_store_name#2]
Condition : isnotnull(s_store_sk#1)

(3) CometColumnarToRow [codegen id : 7]
Input [2]: [s_store_sk#1, s_store_name#2]

(4) CometScan parquet spark_catalog.default.store_sales
Output [4]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5, ss_sold_date_sk#6]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#6), dynamicpruningexpression(ss_sold_date_sk#6 IN dynamicpruning#7)]
PushedFilters: [IsNotNull(ss_store_sk), IsNotNull(ss_item_sk)]
ReadSchema: struct<ss_item_sk:int,ss_store_sk:int,ss_sales_price:decimal(7,2)>

(5) CometFilter
Input [4]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5, ss_sold_date_sk#6]
Condition : (isnotnull(ss_store_sk#4) AND isnotnull(ss_item_sk#3))

(6) CometScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#8, d_month_seq#9]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1176), LessThanOrEqual(d_month_seq,1187), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_month_seq:int>

(7) CometFilter
Input [2]: [d_date_sk#8, d_month_seq#9]
Condition : (((isnotnull(d_month_seq#9) AND (d_month_seq#9 >= 1176)) AND (d_month_seq#9 <= 1187)) AND isnotnull(d_date_sk#8))

(8) CometProject
Input [2]: [d_date_sk#8, d_month_seq#9]
Arguments: [d_date_sk#8], [d_date_sk#8]

(9) CometBroadcastExchange
Input [1]: [d_date_sk#8]
Arguments: [d_date_sk#8]

(10) CometBroadcastHashJoin
Left output [4]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5, ss_sold_date_sk#6]
Right output [1]: [d_date_sk#8]
Arguments: [ss_sold_date_sk#6], [d_date_sk#8], Inner, BuildRight

(11) CometProject
Input [5]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5, ss_sold_date_sk#6, d_date_sk#8]
Arguments: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5], [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5]

(12) CometColumnarToRow [codegen id : 1]
Input [3]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5]

(13) HashAggregate [codegen id : 1]
Input [3]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5]
Keys [2]: [ss_store_sk#4, ss_item_sk#3]
Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#5))]
Aggregate Attributes [1]: [sum#10]
Results [3]: [ss_store_sk#4, ss_item_sk#3, sum#11]

(14) CometColumnarExchange
Input [3]: [ss_store_sk#4, ss_item_sk#3, sum#11]
Arguments: hashpartitioning(ss_store_sk#4, ss_item_sk#3, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1]

(15) CometColumnarToRow [codegen id : 2]
Input [3]: [ss_store_sk#4, ss_item_sk#3, sum#11]

(16) HashAggregate [codegen id : 2]
Input [3]: [ss_store_sk#4, ss_item_sk#3, sum#11]
Keys [2]: [ss_store_sk#4, ss_item_sk#3]
Functions [1]: [sum(UnscaledValue(ss_sales_price#5))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#5))#12]
Results [3]: [ss_store_sk#4, ss_item_sk#3, MakeDecimal(sum(UnscaledValue(ss_sales_price#5))#12,17,2) AS revenue#13]

(17) Filter [codegen id : 2]
Input [3]: [ss_store_sk#4, ss_item_sk#3, revenue#13]
Condition : isnotnull(revenue#13)

(18) BroadcastExchange
Input [3]: [ss_store_sk#4, ss_item_sk#3, revenue#13]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]

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

(20) Project [codegen id : 7]
Output [4]: [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#13]
Input [5]: [s_store_sk#1, s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#13]

(21) CometScan parquet spark_catalog.default.item
Output [5]: [i_item_sk#14, i_item_desc#15, i_current_price#16, i_wholesale_cost#17, i_brand#18]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_item_desc:string,i_current_price:decimal(7,2),i_wholesale_cost:decimal(7,2),i_brand:string>

(22) CometFilter
Input [5]: [i_item_sk#14, i_item_desc#15, i_current_price#16, i_wholesale_cost#17, i_brand#18]
Condition : isnotnull(i_item_sk#14)

(23) CometProject
Input [5]: [i_item_sk#14, i_item_desc#15, i_current_price#16, i_wholesale_cost#17, i_brand#18]
Arguments: [i_item_sk#14, i_item_desc#15, i_current_price#16, i_wholesale_cost#17, i_brand#19], [i_item_sk#14, i_item_desc#15, i_current_price#16, i_wholesale_cost#17, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_brand#18, 50, true, false, true) AS i_brand#19]

(24) CometColumnarToRow [codegen id : 3]
Input [5]: [i_item_sk#14, i_item_desc#15, i_current_price#16, i_wholesale_cost#17, i_brand#19]

(25) BroadcastExchange
Input [5]: [i_item_sk#14, i_item_desc#15, i_current_price#16, i_wholesale_cost#17, i_brand#19]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]

(26) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [ss_item_sk#3]
Right keys [1]: [i_item_sk#14]
Join type: Inner
Join condition: None

(27) Project [codegen id : 7]
Output [7]: [s_store_name#2, ss_store_sk#4, revenue#13, i_item_desc#15, i_current_price#16, i_wholesale_cost#17, i_brand#19]
Input [9]: [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#13, i_item_sk#14, i_item_desc#15, i_current_price#16, i_wholesale_cost#17, i_brand#19]

(28) CometScan parquet spark_catalog.default.store_sales
Output [4]: [ss_item_sk#20, ss_store_sk#21, ss_sales_price#22, ss_sold_date_sk#23]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#23), dynamicpruningexpression(ss_sold_date_sk#23 IN dynamicpruning#24)]
PushedFilters: [IsNotNull(ss_store_sk)]
ReadSchema: struct<ss_item_sk:int,ss_store_sk:int,ss_sales_price:decimal(7,2)>

(29) CometFilter
Input [4]: [ss_item_sk#20, ss_store_sk#21, ss_sales_price#22, ss_sold_date_sk#23]
Condition : isnotnull(ss_store_sk#21)

(30) ReusedExchange [Reuses operator id: 9]
Output [1]: [d_date_sk#25]

(31) CometBroadcastHashJoin
Left output [4]: [ss_item_sk#20, ss_store_sk#21, ss_sales_price#22, ss_sold_date_sk#23]
Right output [1]: [d_date_sk#25]
Arguments: [ss_sold_date_sk#23], [d_date_sk#25], Inner, BuildRight

(32) CometProject
Input [5]: [ss_item_sk#20, ss_store_sk#21, ss_sales_price#22, ss_sold_date_sk#23, d_date_sk#25]
Arguments: [ss_item_sk#20, ss_store_sk#21, ss_sales_price#22], [ss_item_sk#20, ss_store_sk#21, ss_sales_price#22]

(33) CometColumnarToRow [codegen id : 4]
Input [3]: [ss_item_sk#20, ss_store_sk#21, ss_sales_price#22]

(34) HashAggregate [codegen id : 4]
Input [3]: [ss_item_sk#20, ss_store_sk#21, ss_sales_price#22]
Keys [2]: [ss_store_sk#21, ss_item_sk#20]
Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#22))]
Aggregate Attributes [1]: [sum#26]
Results [3]: [ss_store_sk#21, ss_item_sk#20, sum#27]

(35) CometColumnarExchange
Input [3]: [ss_store_sk#21, ss_item_sk#20, sum#27]
Arguments: hashpartitioning(ss_store_sk#21, ss_item_sk#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4]

(36) CometColumnarToRow [codegen id : 5]
Input [3]: [ss_store_sk#21, ss_item_sk#20, sum#27]

(37) HashAggregate [codegen id : 5]
Input [3]: [ss_store_sk#21, ss_item_sk#20, sum#27]
Keys [2]: [ss_store_sk#21, ss_item_sk#20]
Functions [1]: [sum(UnscaledValue(ss_sales_price#22))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#22))#28]
Results [2]: [ss_store_sk#21, MakeDecimal(sum(UnscaledValue(ss_sales_price#22))#28,17,2) AS revenue#29]

(38) HashAggregate [codegen id : 5]
Input [2]: [ss_store_sk#21, revenue#29]
Keys [1]: [ss_store_sk#21]
Functions [1]: [partial_avg(revenue#29)]
Aggregate Attributes [2]: [sum#30, count#31]
Results [3]: [ss_store_sk#21, sum#32, count#33]

(39) CometColumnarExchange
Input [3]: [ss_store_sk#21, sum#32, count#33]
Arguments: hashpartitioning(ss_store_sk#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5]

(40) CometColumnarToRow [codegen id : 6]
Input [3]: [ss_store_sk#21, sum#32, count#33]

(41) HashAggregate [codegen id : 6]
Input [3]: [ss_store_sk#21, sum#32, count#33]
Keys [1]: [ss_store_sk#21]
Functions [1]: [avg(revenue#29)]
Aggregate Attributes [1]: [avg(revenue#29)#34]
Results [2]: [ss_store_sk#21, avg(revenue#29)#34 AS ave#35]

(42) Filter [codegen id : 6]
Input [2]: [ss_store_sk#21, ave#35]
Condition : isnotnull(ave#35)

(43) BroadcastExchange
Input [2]: [ss_store_sk#21, ave#35]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6]

(44) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [ss_store_sk#4]
Right keys [1]: [ss_store_sk#21]
Join type: Inner
Join condition: (cast(revenue#13 as decimal(23,7)) <= (0.1 * ave#35))

(45) Project [codegen id : 7]
Output [6]: [s_store_name#2, i_item_desc#15, revenue#13, i_current_price#16, i_wholesale_cost#17, i_brand#19]
Input [9]: [s_store_name#2, ss_store_sk#4, revenue#13, i_item_desc#15, i_current_price#16, i_wholesale_cost#17, i_brand#19, ss_store_sk#21, ave#35]

(46) TakeOrderedAndProject
Input [6]: [s_store_name#2, i_item_desc#15, revenue#13, i_current_price#16, i_wholesale_cost#17, i_brand#19]
Arguments: 100, [s_store_name#2 ASC NULLS FIRST, i_item_desc#15 ASC NULLS FIRST], [s_store_name#2, i_item_desc#15, revenue#13, i_current_price#16, i_wholesale_cost#17, i_brand#19]

===== Subqueries =====

Subquery:1 Hosting operator id = 4 Hosting Expression = ss_sold_date_sk#6 IN dynamicpruning#7
BroadcastExchange (51)
+- * CometColumnarToRow (50)
   +- CometProject (49)
      +- CometFilter (48)
         +- CometScan parquet spark_catalog.default.date_dim (47)


(47) CometScan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#8, d_month_seq#9]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1176), LessThanOrEqual(d_month_seq,1187), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_month_seq:int>

(48) CometFilter
Input [2]: [d_date_sk#8, d_month_seq#9]
Condition : (((isnotnull(d_month_seq#9) AND (d_month_seq#9 >= 1176)) AND (d_month_seq#9 <= 1187)) AND isnotnull(d_date_sk#8))

(49) CometProject
Input [2]: [d_date_sk#8, d_month_seq#9]
Arguments: [d_date_sk#8], [d_date_sk#8]

(50) CometColumnarToRow [codegen id : 1]
Input [1]: [d_date_sk#8]

(51) BroadcastExchange
Input [1]: [d_date_sk#8]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7]

Subquery:2 Hosting operator id = 28 Hosting Expression = ss_sold_date_sk#23 IN dynamicpruning#7


