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


(1) CometNativeScan: `spark_catalog`.`default`.`item`
Output [3]: [i_item_sk#1, i_brand#2, i_category#3]
Arguments: [i_item_sk#1, i_brand#2, i_category#3]

(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) CometNativeScan: `spark_catalog`.`default`.`store_sales`
Output [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]

(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) CometNativeScan: `spark_catalog`.`default`.`date_dim`
Output [3]: [d_date_sk#8, d_year#9, d_moy#10]
Arguments: [d_date_sk#8, d_year#9, d_moy#10]

(9) CometFilter
Input [3]: [d_date_sk#8, d_year#9, d_moy#10]
Condition : ((((d_year#9 = 1999) OR ((d_year#9 = 1998) AND (d_moy#10 = 12))) OR ((d_year#9 = 2000) AND (d_moy#10 = 1))) AND isnotnull(d_date_sk#8))

(10) CometBroadcastExchange
Input [3]: [d_date_sk#8, d_year#9, d_moy#10]
Arguments: [d_date_sk#8, d_year#9, d_moy#10]

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

(13) CometNativeScan: `spark_catalog`.`default`.`store`
Output [3]: [s_store_sk#11, s_store_name#12, s_company_name#13]
Arguments: [s_store_sk#11, s_store_name#12, s_company_name#13]

(14) CometFilter
Input [3]: [s_store_sk#11, s_store_name#12, s_company_name#13]
Condition : ((isnotnull(s_store_sk#11) AND isnotnull(s_store_name#12)) AND isnotnull(s_company_name#13))

(15) CometBroadcastExchange
Input [3]: [s_store_sk#11, s_store_name#12, s_company_name#13]
Arguments: [s_store_sk#11, s_store_name#12, s_company_name#13]

(16) CometBroadcastHashJoin
Left output [6]: [i_brand#2, i_category#3, ss_store_sk#5, ss_sales_price#6, d_year#9, d_moy#10]
Right output [3]: [s_store_sk#11, s_store_name#12, s_company_name#13]
Arguments: [ss_store_sk#5], [s_store_sk#11], Inner, BuildRight

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

(18) ColumnarToRow [codegen id : 1]
Input [7]: [i_brand#2, i_category#3, ss_sales_price#6, d_year#9, d_moy#10, s_store_name#12, s_company_name#13]

(19) HashAggregate [codegen id : 1]
Input [7]: [i_brand#2, i_category#3, ss_sales_price#6, d_year#9, d_moy#10, s_store_name#12, s_company_name#13]
Keys [6]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10]
Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#6))]
Aggregate Attributes [1]: [sum#14]
Results [7]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10, sum#15]

(20) Exchange
Input [7]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10, sum#15]
Arguments: hashpartitioning(i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10, 5), ENSURE_REQUIREMENTS, [plan_id=1]

(21) HashAggregate [codegen id : 2]
Input [7]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10, sum#15]
Keys [6]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10]
Functions [1]: [sum(UnscaledValue(ss_sales_price#6))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#6))#16]
Results [8]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10, MakeDecimal(sum(UnscaledValue(ss_sales_price#6))#16,17,2) AS sum_sales#17, MakeDecimal(sum(UnscaledValue(ss_sales_price#6))#16,17,2) AS _w0#18]

(22) Exchange
Input [8]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10, sum_sales#17, _w0#18]
Arguments: hashpartitioning(i_category#3, i_brand#2, s_store_name#12, s_company_name#13, 5), ENSURE_REQUIREMENTS, [plan_id=2]

(23) Sort [codegen id : 3]
Input [8]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10, sum_sales#17, _w0#18]
Arguments: [i_category#3 ASC NULLS FIRST, i_brand#2 ASC NULLS FIRST, s_store_name#12 ASC NULLS FIRST, s_company_name#13 ASC NULLS FIRST, d_year#9 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST], false, 0

(24) Window
Input [8]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10, sum_sales#17, _w0#18]
Arguments: [rank(d_year#9, d_moy#10) windowspecdefinition(i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#19], [i_category#3, i_brand#2, s_store_name#12, s_company_name#13], [d_year#9 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST]

(25) Filter [codegen id : 4]
Input [9]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10, sum_sales#17, _w0#18, rn#19]
Condition : (isnotnull(d_year#9) AND (d_year#9 = 1999))

(26) Window
Input [9]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10, sum_sales#17, _w0#18, rn#19]
Arguments: [avg(_w0#18) windowspecdefinition(i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#20], [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9]

(27) Filter [codegen id : 13]
Input [10]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10, sum_sales#17, _w0#18, rn#19, avg_monthly_sales#20]
Condition : ((isnotnull(avg_monthly_sales#20) AND (avg_monthly_sales#20 > 0.000000)) AND CASE WHEN (avg_monthly_sales#20 > 0.000000) THEN ((abs((sum_sales#17 - avg_monthly_sales#20)) / avg_monthly_sales#20) > 0.1000000000000000) END)

(28) Project [codegen id : 13]
Output [9]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10, sum_sales#17, avg_monthly_sales#20, rn#19]
Input [10]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10, sum_sales#17, _w0#18, rn#19, avg_monthly_sales#20]

(29) ReusedExchange [Reuses operator id: 20]
Output [7]: [i_category#21, i_brand#22, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum#27]

(30) HashAggregate [codegen id : 6]
Input [7]: [i_category#21, i_brand#22, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum#27]
Keys [6]: [i_category#21, i_brand#22, s_store_name#23, s_company_name#24, d_year#25, d_moy#26]
Functions [1]: [sum(UnscaledValue(ss_sales_price#28))]
Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#28))#16]
Results [7]: [i_category#21, i_brand#22, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, MakeDecimal(sum(UnscaledValue(ss_sales_price#28))#16,17,2) AS sum_sales#29]

(31) Exchange
Input [7]: [i_category#21, i_brand#22, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#29]
Arguments: hashpartitioning(i_category#21, i_brand#22, s_store_name#23, s_company_name#24, 5), ENSURE_REQUIREMENTS, [plan_id=3]

(32) Sort [codegen id : 7]
Input [7]: [i_category#21, i_brand#22, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#29]
Arguments: [i_category#21 ASC NULLS FIRST, i_brand#22 ASC NULLS FIRST, s_store_name#23 ASC NULLS FIRST, s_company_name#24 ASC NULLS FIRST, d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST], false, 0

(33) Window
Input [7]: [i_category#21, i_brand#22, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#29]
Arguments: [rank(d_year#25, d_moy#26) windowspecdefinition(i_category#21, i_brand#22, s_store_name#23, s_company_name#24, d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#30], [i_category#21, i_brand#22, s_store_name#23, s_company_name#24], [d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST]

(34) Project [codegen id : 8]
Output [6]: [i_category#21, i_brand#22, s_store_name#23, s_company_name#24, sum_sales#29, rn#30]
Input [8]: [i_category#21, i_brand#22, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#29, rn#30]

(35) BroadcastExchange
Input [6]: [i_category#21, i_brand#22, s_store_name#23, s_company_name#24, sum_sales#29, 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=4]

(36) BroadcastHashJoin [codegen id : 13]
Left keys [5]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, rn#19]
Right keys [5]: [i_category#21, i_brand#22, s_store_name#23, s_company_name#24, (rn#30 + 1)]
Join type: Inner
Join condition: None

(37) Project [codegen id : 13]
Output [10]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10, sum_sales#17, avg_monthly_sales#20, rn#19, sum_sales#29]
Input [15]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10, sum_sales#17, avg_monthly_sales#20, rn#19, i_category#21, i_brand#22, s_store_name#23, s_company_name#24, sum_sales#29, rn#30]

(38) ReusedExchange [Reuses operator id: 31]
Output [7]: [i_category#31, i_brand#32, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#37]

(39) Sort [codegen id : 11]
Input [7]: [i_category#31, i_brand#32, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#37]
Arguments: [i_category#31 ASC NULLS FIRST, i_brand#32 ASC NULLS FIRST, s_store_name#33 ASC NULLS FIRST, s_company_name#34 ASC NULLS FIRST, d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST], false, 0

(40) Window
Input [7]: [i_category#31, i_brand#32, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#37]
Arguments: [rank(d_year#35, d_moy#36) windowspecdefinition(i_category#31, i_brand#32, s_store_name#33, s_company_name#34, d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#38], [i_category#31, i_brand#32, s_store_name#33, s_company_name#34], [d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST]

(41) Project [codegen id : 12]
Output [6]: [i_category#31, i_brand#32, s_store_name#33, s_company_name#34, sum_sales#37, rn#38]
Input [8]: [i_category#31, i_brand#32, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#37, rn#38]

(42) BroadcastExchange
Input [6]: [i_category#31, i_brand#32, s_store_name#33, s_company_name#34, sum_sales#37, 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=5]

(43) BroadcastHashJoin [codegen id : 13]
Left keys [5]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, rn#19]
Right keys [5]: [i_category#31, i_brand#32, s_store_name#33, s_company_name#34, (rn#38 - 1)]
Join type: Inner
Join condition: None

(44) Project [codegen id : 13]
Output [10]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10, avg_monthly_sales#20, sum_sales#17, sum_sales#29 AS psum#39, sum_sales#37 AS nsum#40]
Input [16]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10, sum_sales#17, avg_monthly_sales#20, rn#19, sum_sales#29, i_category#31, i_brand#32, s_store_name#33, s_company_name#34, sum_sales#37, rn#38]

(45) TakeOrderedAndProject
Input [10]: [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10, avg_monthly_sales#20, sum_sales#17, psum#39, nsum#40]
Arguments: 100, [(sum_sales#17 - avg_monthly_sales#20) ASC NULLS FIRST, s_store_name#12 ASC NULLS FIRST], [i_category#3, i_brand#2, s_store_name#12, s_company_name#13, d_year#9, d_moy#10, avg_monthly_sales#20, sum_sales#17, psum#39, nsum#40]

