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


(1) CometScan 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), IsNotNull(i_category), IsNotNull(i_brand)]
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(i_category#3)) AND isnotnull(i_brand#2))

(3) CometScan parquet spark_catalog.default.store_sales
Output [4]: [ss_item_sk#4, ss_store_sk#5, ss_sales_price#6, ss_sold_date_sk#7]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#7), dynamicpruningexpression(ss_sold_date_sk#7 IN dynamicpruning#8)]
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)>

(4) CometFilter
Input [4]: [ss_item_sk#4, ss_store_sk#5, ss_sales_price#6, ss_sold_date_sk#7]
Condition : (isnotnull(ss_item_sk#4) AND isnotnull(ss_store_sk#5))

(5) CometBroadcastExchange
Input [4]: [ss_item_sk#4, ss_store_sk#5, ss_sales_price#6, ss_sold_date_sk#7]
Arguments: [ss_item_sk#4, ss_store_sk#5, ss_sales_price#6, ss_sold_date_sk#7]

(6) CometBroadcastHashJoin
Left output [3]: [i_item_sk#1, i_brand#2, i_category#3]
Right output [4]: [ss_item_sk#4, ss_store_sk#5, ss_sales_price#6, ss_sold_date_sk#7]
Arguments: [i_item_sk#1], [ss_item_sk#4], Inner, BuildRight

(7) CometProject
Input [7]: [i_item_sk#1, i_brand#2, i_category#3, ss_item_sk#4, ss_store_sk#5, ss_sales_price#6, ss_sold_date_sk#7]
Arguments: [i_brand#2, i_category#3, ss_store_sk#5, ss_sales_price#6, ss_sold_date_sk#7], [i_brand#2, i_category#3, ss_store_sk#5, ss_sales_price#6, ss_sold_date_sk#7]

(8) CometScan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#9, d_year#10, d_moy#11]
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>

(9) CometFilter
Input [3]: [d_date_sk#9, d_year#10, d_moy#11]
Condition : ((((d_year#10 = 1999) OR ((d_year#10 = 1998) AND (d_moy#11 = 12))) OR ((d_year#10 = 2000) AND (d_moy#11 = 1))) AND isnotnull(d_date_sk#9))

(10) CometBroadcastExchange
Input [3]: [d_date_sk#9, d_year#10, d_moy#11]
Arguments: [d_date_sk#9, d_year#10, d_moy#11]

(11) CometBroadcastHashJoin
Left output [5]: [i_brand#2, i_category#3, ss_store_sk#5, ss_sales_price#6, ss_sold_date_sk#7]
Right output [3]: [d_date_sk#9, d_year#10, d_moy#11]
Arguments: [ss_sold_date_sk#7], [d_date_sk#9], Inner, BuildRight

(12) CometProject
Input [8]: [i_brand#2, i_category#3, ss_store_sk#5, ss_sales_price#6, ss_sold_date_sk#7, d_date_sk#9, d_year#10, d_moy#11]
Arguments: [i_brand#2, i_category#3, ss_store_sk#5, ss_sales_price#6, d_year#10, d_moy#11], [i_brand#2, i_category#3, ss_store_sk#5, ss_sales_price#6, d_year#10, d_moy#11]

(13) CometScan parquet spark_catalog.default.store
Output [3]: [s_store_sk#12, s_store_name#13, s_company_name#14]
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>

(14) CometFilter
Input [3]: [s_store_sk#12, s_store_name#13, s_company_name#14]
Condition : ((isnotnull(s_store_sk#12) AND isnotnull(s_store_name#13)) AND isnotnull(s_company_name#14))

(15) CometBroadcastExchange
Input [3]: [s_store_sk#12, s_store_name#13, s_company_name#14]
Arguments: [s_store_sk#12, s_store_name#13, s_company_name#14]

(16) CometBroadcastHashJoin
Left output [6]: [i_brand#2, i_category#3, ss_store_sk#5, ss_sales_price#6, d_year#10, d_moy#11]
Right output [3]: [s_store_sk#12, s_store_name#13, s_company_name#14]
Arguments: [ss_store_sk#5], [s_store_sk#12], Inner, BuildRight

(17) CometProject
Input [9]: [i_brand#2, i_category#3, ss_store_sk#5, ss_sales_price#6, d_year#10, d_moy#11, s_store_sk#12, s_store_name#13, s_company_name#14]
Arguments: [i_brand#2, i_category#3, ss_sales_price#6, d_year#10, d_moy#11, s_store_name#13, s_company_name#14], [i_brand#2, i_category#3, ss_sales_price#6, d_year#10, d_moy#11, s_store_name#13, s_company_name#14]

(18) CometHashAggregate
Input [7]: [i_brand#2, i_category#3, ss_sales_price#6, d_year#10, d_moy#11, s_store_name#13, s_company_name#14]
Keys [6]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11]
Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#6))]

(19) CometExchange
Input [7]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum#15]
Arguments: hashpartitioning(i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(20) CometHashAggregate
Input [7]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum#15]
Keys [6]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11]
Functions [1]: [sum(UnscaledValue(ss_sales_price#6))]

(21) CometExchange
Input [8]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#16, _w0#17]
Arguments: hashpartitioning(i_category#3, i_brand#2, s_store_name#13, s_company_name#14, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2]

(22) CometSort
Input [8]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#16, _w0#17]
Arguments: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#16, _w0#17], [i_category#3 ASC NULLS FIRST, i_brand#2 ASC NULLS FIRST, s_store_name#13 ASC NULLS FIRST, s_company_name#14 ASC NULLS FIRST, d_year#10 ASC NULLS FIRST, d_moy#11 ASC NULLS FIRST]

(23) ColumnarToRow [codegen id : 1]
Input [8]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#16, _w0#17]

(24) Window
Input [8]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#16, _w0#17]
Arguments: [rank(d_year#10, d_moy#11) windowspecdefinition(i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10 ASC NULLS FIRST, d_moy#11 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#18], [i_category#3, i_brand#2, s_store_name#13, s_company_name#14], [d_year#10 ASC NULLS FIRST, d_moy#11 ASC NULLS FIRST]

(25) Filter [codegen id : 2]
Input [9]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#16, _w0#17, rn#18]
Condition : (isnotnull(d_year#10) AND (d_year#10 = 1999))

(26) Window
Input [9]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#16, _w0#17, rn#18]
Arguments: [avg(_w0#17) windowspecdefinition(i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#19], [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10]

(27) Filter [codegen id : 7]
Input [10]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#16, _w0#17, rn#18, avg_monthly_sales#19]
Condition : ((isnotnull(avg_monthly_sales#19) AND (avg_monthly_sales#19 > 0.000000)) AND CASE WHEN (avg_monthly_sales#19 > 0.000000) THEN ((abs((sum_sales#16 - avg_monthly_sales#19)) / avg_monthly_sales#19) > 0.1000000000000000) END)

(28) Project [codegen id : 7]
Output [9]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#16, avg_monthly_sales#19, rn#18]
Input [10]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#16, _w0#17, rn#18, avg_monthly_sales#19]

(29) ReusedExchange [Reuses operator id: 19]
Output [7]: [i_category#20, i_brand#21, s_store_name#22, s_company_name#23, d_year#24, d_moy#25, sum#26]

(30) CometHashAggregate
Input [7]: [i_category#20, i_brand#21, s_store_name#22, s_company_name#23, d_year#24, d_moy#25, sum#26]
Keys [6]: [i_category#20, i_brand#21, s_store_name#22, s_company_name#23, d_year#24, d_moy#25]
Functions [1]: [sum(UnscaledValue(ss_sales_price#27))]

(31) CometExchange
Input [7]: [i_category#20, i_brand#21, s_store_name#22, s_company_name#23, d_year#24, d_moy#25, sum_sales#16]
Arguments: hashpartitioning(i_category#20, i_brand#21, s_store_name#22, s_company_name#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3]

(32) CometSort
Input [7]: [i_category#20, i_brand#21, s_store_name#22, s_company_name#23, d_year#24, d_moy#25, sum_sales#16]
Arguments: [i_category#20, i_brand#21, s_store_name#22, s_company_name#23, d_year#24, d_moy#25, sum_sales#16], [i_category#20 ASC NULLS FIRST, i_brand#21 ASC NULLS FIRST, s_store_name#22 ASC NULLS FIRST, s_company_name#23 ASC NULLS FIRST, d_year#24 ASC NULLS FIRST, d_moy#25 ASC NULLS FIRST]

(33) ColumnarToRow [codegen id : 3]
Input [7]: [i_category#20, i_brand#21, s_store_name#22, s_company_name#23, d_year#24, d_moy#25, sum_sales#16]

(34) Window
Input [7]: [i_category#20, i_brand#21, s_store_name#22, s_company_name#23, d_year#24, d_moy#25, sum_sales#16]
Arguments: [rank(d_year#24, d_moy#25) windowspecdefinition(i_category#20, i_brand#21, s_store_name#22, s_company_name#23, d_year#24 ASC NULLS FIRST, d_moy#25 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#28], [i_category#20, i_brand#21, s_store_name#22, s_company_name#23], [d_year#24 ASC NULLS FIRST, d_moy#25 ASC NULLS FIRST]

(35) Project [codegen id : 4]
Output [6]: [i_category#20, i_brand#21, s_store_name#22, s_company_name#23, sum_sales#16 AS sum_sales#29, rn#28]
Input [8]: [i_category#20, i_brand#21, s_store_name#22, s_company_name#23, d_year#24, d_moy#25, sum_sales#16, rn#28]

(36) BroadcastExchange
Input [6]: [i_category#20, i_brand#21, s_store_name#22, s_company_name#23, sum_sales#29, rn#28]
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=4]

(37) BroadcastHashJoin [codegen id : 7]
Left keys [5]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, rn#18]
Right keys [5]: [i_category#20, i_brand#21, s_store_name#22, s_company_name#23, (rn#28 + 1)]
Join type: Inner
Join condition: None

(38) Project [codegen id : 7]
Output [10]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#16, avg_monthly_sales#19, rn#18, sum_sales#29]
Input [15]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#16, avg_monthly_sales#19, rn#18, i_category#20, i_brand#21, s_store_name#22, s_company_name#23, sum_sales#29, rn#28]

(39) ReusedExchange [Reuses operator id: 31]
Output [7]: [i_category#30, i_brand#31, s_store_name#32, s_company_name#33, d_year#34, d_moy#35, sum_sales#16]

(40) CometSort
Input [7]: [i_category#30, i_brand#31, s_store_name#32, s_company_name#33, d_year#34, d_moy#35, sum_sales#16]
Arguments: [i_category#30, i_brand#31, s_store_name#32, s_company_name#33, d_year#34, d_moy#35, sum_sales#16], [i_category#30 ASC NULLS FIRST, i_brand#31 ASC NULLS FIRST, s_store_name#32 ASC NULLS FIRST, s_company_name#33 ASC NULLS FIRST, d_year#34 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST]

(41) ColumnarToRow [codegen id : 5]
Input [7]: [i_category#30, i_brand#31, s_store_name#32, s_company_name#33, d_year#34, d_moy#35, sum_sales#16]

(42) Window
Input [7]: [i_category#30, i_brand#31, s_store_name#32, s_company_name#33, d_year#34, d_moy#35, sum_sales#16]
Arguments: [rank(d_year#34, d_moy#35) windowspecdefinition(i_category#30, i_brand#31, s_store_name#32, s_company_name#33, d_year#34 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#36], [i_category#30, i_brand#31, s_store_name#32, s_company_name#33], [d_year#34 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST]

(43) Project [codegen id : 6]
Output [6]: [i_category#30, i_brand#31, s_store_name#32, s_company_name#33, sum_sales#16 AS sum_sales#37, rn#36]
Input [8]: [i_category#30, i_brand#31, s_store_name#32, s_company_name#33, d_year#34, d_moy#35, sum_sales#16, rn#36]

(44) BroadcastExchange
Input [6]: [i_category#30, i_brand#31, s_store_name#32, s_company_name#33, sum_sales#37, rn#36]
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=5]

(45) BroadcastHashJoin [codegen id : 7]
Left keys [5]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, rn#18]
Right keys [5]: [i_category#30, i_brand#31, s_store_name#32, s_company_name#33, (rn#36 - 1)]
Join type: Inner
Join condition: None

(46) Project [codegen id : 7]
Output [7]: [i_category#3, d_year#10, d_moy#11, avg_monthly_sales#19, sum_sales#16, sum_sales#29 AS psum#38, sum_sales#37 AS nsum#39]
Input [16]: [i_category#3, i_brand#2, s_store_name#13, s_company_name#14, d_year#10, d_moy#11, sum_sales#16, avg_monthly_sales#19, rn#18, sum_sales#29, i_category#30, i_brand#31, s_store_name#32, s_company_name#33, sum_sales#37, rn#36]

(47) TakeOrderedAndProject
Input [7]: [i_category#3, d_year#10, d_moy#11, avg_monthly_sales#19, sum_sales#16, psum#38, nsum#39]
Arguments: 100, [(sum_sales#16 - avg_monthly_sales#19) ASC NULLS FIRST, d_moy#11 ASC NULLS FIRST], [i_category#3, d_year#10, d_moy#11, avg_monthly_sales#19, sum_sales#16, psum#38, nsum#39]

===== Subqueries =====

Subquery:1 Hosting operator id = 3 Hosting Expression = ss_sold_date_sk#7 IN dynamicpruning#8
BroadcastExchange (51)
+- * ColumnarToRow (50)
   +- CometFilter (49)
      +- CometScan parquet spark_catalog.default.date_dim (48)


(48) CometScan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#9, d_year#10, d_moy#11]
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>

(49) CometFilter
Input [3]: [d_date_sk#9, d_year#10, d_moy#11]
Condition : ((((d_year#10 = 1999) OR ((d_year#10 = 1998) AND (d_moy#11 = 12))) OR ((d_year#10 = 2000) AND (d_moy#11 = 1))) AND isnotnull(d_date_sk#9))

(50) ColumnarToRow [codegen id : 1]
Input [3]: [d_date_sk#9, d_year#10, d_moy#11]

(51) BroadcastExchange
Input [3]: [d_date_sk#9, d_year#10, d_moy#11]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=6]


