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


(1) CometNativeScan parquet spark_catalog.default.item
Output [3]: [i_item_sk#1, i_brand#2, i_category#3]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_brand:string,i_category:string>

(2) CometFilter
Input [3]: [i_item_sk#1, i_brand#2, i_category#3]
Condition : ((isnotnull(i_item_sk#1) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_category#3, 50, true, false, true))) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_brand#2, 50, true, false, true)))

(3) CometProject
Input [3]: [i_item_sk#1, i_brand#2, i_category#3]
Arguments: [i_item_sk#1, i_brand#4, i_category#5], [i_item_sk#1, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_brand#2, 50, true, false, true) AS i_brand#4, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_category#3, 50, true, false, true) AS i_category#5]

(4) CometColumnarToRow [codegen id : 4]
Input [3]: [i_item_sk#1, i_brand#4, i_category#5]

(5) Scan parquet spark_catalog.default.store_sales
Output [4]: [ss_item_sk#6, ss_store_sk#7, ss_sales_price#8, ss_sold_date_sk#9]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#9), dynamicpruningexpression(ss_sold_date_sk#9 IN dynamicpruning#10)]
PushedFilters: [IsNotNull(ss_item_sk), IsNotNull(ss_store_sk)]
ReadSchema: struct<ss_item_sk:int,ss_store_sk:int,ss_sales_price:decimal(7,2)>

(6) ColumnarToRow [codegen id : 1]
Input [4]: [ss_item_sk#6, ss_store_sk#7, ss_sales_price#8, ss_sold_date_sk#9]

(7) Filter [codegen id : 1]
Input [4]: [ss_item_sk#6, ss_store_sk#7, ss_sales_price#8, ss_sold_date_sk#9]
Condition : (isnotnull(ss_item_sk#6) AND isnotnull(ss_store_sk#7))

(8) BroadcastExchange
Input [4]: [ss_item_sk#6, ss_store_sk#7, ss_sales_price#8, ss_sold_date_sk#9]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=1]

(9) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [i_item_sk#1]
Right keys [1]: [ss_item_sk#6]
Join type: Inner
Join condition: None

(10) Project [codegen id : 4]
Output [5]: [i_brand#4, i_category#5, ss_store_sk#7, ss_sales_price#8, ss_sold_date_sk#9]
Input [7]: [i_item_sk#1, i_brand#4, i_category#5, ss_item_sk#6, ss_store_sk#7, ss_sales_price#8, ss_sold_date_sk#9]

(11) ReusedExchange [Reuses operator id: 55]
Output [3]: [d_date_sk#11, d_year#12, d_moy#13]

(12) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [ss_sold_date_sk#9]
Right keys [1]: [d_date_sk#11]
Join type: Inner
Join condition: None

(13) Project [codegen id : 4]
Output [6]: [i_brand#4, i_category#5, ss_store_sk#7, ss_sales_price#8, d_year#12, d_moy#13]
Input [8]: [i_brand#4, i_category#5, ss_store_sk#7, ss_sales_price#8, ss_sold_date_sk#9, d_date_sk#11, d_year#12, d_moy#13]

(14) CometNativeScan parquet spark_catalog.default.store
Output [3]: [s_store_sk#14, s_store_name#15, s_company_name#16]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk), IsNotNull(s_store_name), IsNotNull(s_company_name)]
ReadSchema: struct<s_store_sk:int,s_store_name:string,s_company_name:string>

(15) CometFilter
Input [3]: [s_store_sk#14, s_store_name#15, s_company_name#16]
Condition : ((isnotnull(s_store_sk#14) AND isnotnull(s_store_name#15)) AND isnotnull(s_company_name#16))

(16) CometColumnarToRow [codegen id : 3]
Input [3]: [s_store_sk#14, s_store_name#15, s_company_name#16]

(17) BroadcastExchange
Input [3]: [s_store_sk#14, s_store_name#15, s_company_name#16]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=2]

(18) BroadcastHashJoin [codegen id : 4]
Left keys [1]: [ss_store_sk#7]
Right keys [1]: [s_store_sk#14]
Join type: Inner
Join condition: None

(19) Project [codegen id : 4]
Output [7]: [i_brand#4, i_category#5, ss_sales_price#8, d_year#12, d_moy#13, s_store_name#15, s_company_name#16]
Input [9]: [i_brand#4, i_category#5, ss_store_sk#7, ss_sales_price#8, d_year#12, d_moy#13, s_store_sk#14, s_store_name#15, s_company_name#16]

(20) HashAggregate [codegen id : 4]
Input [7]: [i_brand#4, i_category#5, ss_sales_price#8, d_year#12, d_moy#13, s_store_name#15, s_company_name#16]
Keys [6]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13]
Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#8))]
Aggregate Attributes [1]: [sum#17]
Results [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18]

(21) CometColumnarExchange
Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18]
Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3]

(22) CometColumnarToRow [codegen id : 5]
Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18]

(23) HashAggregate [codegen id : 5]
Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18]
Keys [6]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13]
Functions [1]: [sum(UnscaledValue(ss_sales_price#8))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#8))#19]
Results [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, MakeDecimal(sum(UnscaledValue(ss_sales_price#8))#19,17,2) AS sum_sales#20, MakeDecimal(sum(UnscaledValue(ss_sales_price#8))#19,17,2) AS _w0#21]

(24) CometColumnarExchange
Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21]
Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4]

(25) CometSort
Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21]
Arguments: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#15 ASC NULLS FIRST, s_company_name#16 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST]

(26) CometColumnarToRow [codegen id : 6]
Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21]

(27) Window
Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21]
Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#22], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST]

(28) Filter [codegen id : 7]
Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22]
Condition : (isnotnull(d_year#12) AND (d_year#12 = 1999))

(29) Window
Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22]
Arguments: [avg(_w0#21) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#23], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12]

(30) Filter [codegen id : 22]
Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22, avg_monthly_sales#23]
Condition : ((isnotnull(avg_monthly_sales#23) AND (avg_monthly_sales#23 > 0.000000)) AND CASE WHEN (avg_monthly_sales#23 > 0.000000) THEN ((abs((sum_sales#20 - avg_monthly_sales#23)) / avg_monthly_sales#23) > 0.1000000000000000) END)

(31) Project [codegen id : 22]
Output [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22]
Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22, avg_monthly_sales#23]

(32) ReusedExchange [Reuses operator id: 21]
Output [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum#28]

(33) CometColumnarToRow [codegen id : 12]
Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum#28]

(34) HashAggregate [codegen id : 12]
Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum#28]
Keys [6]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27]
Functions [1]: [sum(UnscaledValue(ss_sales_price#29))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#29))#19]
Results [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, MakeDecimal(sum(UnscaledValue(ss_sales_price#29))#19,17,2) AS sum_sales#20]

(35) CometColumnarExchange
Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20]
Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#24, s_company_name#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5]

(36) CometSort
Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20]
Arguments: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#24 ASC NULLS FIRST, s_company_name#25 ASC NULLS FIRST, d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST]

(37) CometColumnarToRow [codegen id : 13]
Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20]

(38) Window
Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20]
Arguments: [rank(d_year#26, d_moy#27) windowspecdefinition(i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#30], [i_category#5, i_brand#4, s_store_name#24, s_company_name#25], [d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST]

(39) Project [codegen id : 14]
Output [6]: [i_category#5 AS i_category#31, i_brand#4 AS i_brand#32, s_store_name#24, s_company_name#25, sum_sales#20 AS sum_sales#33, rn#30]
Input [8]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20, rn#30]

(40) BroadcastExchange
Input [6]: [i_category#31, i_brand#32, s_store_name#24, s_company_name#25, sum_sales#33, rn#30]
Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], input[3, string, true], (input[5, int, false] + 1)),false), [plan_id=6]

(41) BroadcastHashJoin [codegen id : 22]
Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#22]
Right keys [5]: [i_category#31, i_brand#32, s_store_name#24, s_company_name#25, (rn#30 + 1)]
Join type: Inner
Join condition: None

(42) Project [codegen id : 22]
Output [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, sum_sales#33]
Input [15]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, i_category#31, i_brand#32, s_store_name#24, s_company_name#25, sum_sales#33, rn#30]

(43) ReusedExchange [Reuses operator id: 35]
Output [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20]

(44) CometSort
Input [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20]
Arguments: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#34 ASC NULLS FIRST, s_company_name#35 ASC NULLS FIRST, d_year#36 ASC NULLS FIRST, d_moy#37 ASC NULLS FIRST]

(45) CometColumnarToRow [codegen id : 20]
Input [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20]

(46) Window
Input [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20]
Arguments: [rank(d_year#36, d_moy#37) windowspecdefinition(i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36 ASC NULLS FIRST, d_moy#37 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#38], [i_category#5, i_brand#4, s_store_name#34, s_company_name#35], [d_year#36 ASC NULLS FIRST, d_moy#37 ASC NULLS FIRST]

(47) Project [codegen id : 21]
Output [6]: [i_category#5 AS i_category#39, i_brand#4 AS i_brand#40, s_store_name#34, s_company_name#35, sum_sales#20 AS sum_sales#41, rn#38]
Input [8]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20, rn#38]

(48) BroadcastExchange
Input [6]: [i_category#39, i_brand#40, s_store_name#34, s_company_name#35, sum_sales#41, rn#38]
Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], input[3, string, true], (input[5, int, false] - 1)),false), [plan_id=7]

(49) BroadcastHashJoin [codegen id : 22]
Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#22]
Right keys [5]: [i_category#39, i_brand#40, s_store_name#34, s_company_name#35, (rn#38 - 1)]
Join type: Inner
Join condition: None

(50) Project [codegen id : 22]
Output [7]: [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, sum_sales#33 AS psum#42, sum_sales#41 AS nsum#43]
Input [16]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, sum_sales#33, i_category#39, i_brand#40, s_store_name#34, s_company_name#35, sum_sales#41, rn#38]

(51) TakeOrderedAndProject
Input [7]: [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, psum#42, nsum#43]
Arguments: 100, [(sum_sales#20 - avg_monthly_sales#23) ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST], [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, psum#42, nsum#43]

===== Subqueries =====

Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#9 IN dynamicpruning#10
BroadcastExchange (55)
+- * CometColumnarToRow (54)
   +- CometFilter (53)
      +- CometNativeScan parquet spark_catalog.default.date_dim (52)


(52) CometNativeScan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#11, d_year#12, d_moy#13]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [Or(Or(EqualTo(d_year,1999),And(EqualTo(d_year,1998),EqualTo(d_moy,12))),And(EqualTo(d_year,2000),EqualTo(d_moy,1))), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(53) CometFilter
Input [3]: [d_date_sk#11, d_year#12, d_moy#13]
Condition : ((((d_year#12 = 1999) OR ((d_year#12 = 1998) AND (d_moy#13 = 12))) OR ((d_year#12 = 2000) AND (d_moy#13 = 1))) AND isnotnull(d_date_sk#11))

(54) CometColumnarToRow [codegen id : 1]
Input [3]: [d_date_sk#11, d_year#12, d_moy#13]

(55) BroadcastExchange
Input [3]: [d_date_sk#11, d_year#12, d_moy#13]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8]


