== Physical Plan ==
* ColumnarToRow (36)
+- CometSort (35)
   +- CometColumnarExchange (34)
      +- * Project (33)
         +- * BroadcastHashJoin Inner BuildRight (32)
            :- * Project (21)
            :  +- * BroadcastHashJoin Inner BuildRight (20)
            :     :- * HashAggregate (14)
            :     :  +- Exchange (13)
            :     :     +- * HashAggregate (12)
            :     :        +- * ColumnarToRow (11)
            :     :           +- CometProject (10)
            :     :              +- CometBroadcastHashJoin (9)
            :     :                 :- CometUnion (5)
            :     :                 :  :- CometProject (2)
            :     :                 :  :  +- CometNativeScan: `spark_catalog`.`default`.`web_sales` (1)
            :     :                 :  +- CometProject (4)
            :     :                 :     +- CometNativeScan: `spark_catalog`.`default`.`catalog_sales` (3)
            :     :                 +- CometBroadcastExchange (8)
            :     :                    +- CometFilter (7)
            :     :                       +- CometNativeScan: `spark_catalog`.`default`.`date_dim` (6)
            :     +- BroadcastExchange (19)
            :        +- * ColumnarToRow (18)
            :           +- CometProject (17)
            :              +- CometFilter (16)
            :                 +- CometNativeScan: `spark_catalog`.`default`.`date_dim` (15)
            +- BroadcastExchange (31)
               +- * Project (30)
                  +- * BroadcastHashJoin Inner BuildRight (29)
                     :- * HashAggregate (23)
                     :  +- ReusedExchange (22)
                     +- BroadcastExchange (28)
                        +- * ColumnarToRow (27)
                           +- CometProject (26)
                              +- CometFilter (25)
                                 +- CometNativeScan: `spark_catalog`.`default`.`date_dim` (24)


(1) CometNativeScan: `spark_catalog`.`default`.`web_sales`
Output [2]: [ws_ext_sales_price#1, ws_sold_date_sk#2]
Arguments: [ws_ext_sales_price#1, ws_sold_date_sk#2]

(2) CometProject
Input [2]: [ws_ext_sales_price#1, ws_sold_date_sk#2]
Arguments: [sold_date_sk#3, sales_price#4], [ws_sold_date_sk#2 AS sold_date_sk#3, ws_ext_sales_price#1 AS sales_price#4]

(3) CometNativeScan: `spark_catalog`.`default`.`catalog_sales`
Output [2]: [cs_ext_sales_price#5, cs_sold_date_sk#6]
Arguments: [cs_ext_sales_price#5, cs_sold_date_sk#6]

(4) CometProject
Input [2]: [cs_ext_sales_price#5, cs_sold_date_sk#6]
Arguments: [sold_date_sk#7, sales_price#8], [cs_sold_date_sk#6 AS sold_date_sk#7, cs_ext_sales_price#5 AS sales_price#8]

(5) CometUnion
Child 0 Input [2]: [sold_date_sk#3, sales_price#4]
Child 1 Input [2]: [sold_date_sk#7, sales_price#8]

(6) CometNativeScan: `spark_catalog`.`default`.`date_dim`
Output [3]: [d_date_sk#9, d_week_seq#10, d_day_name#11]
Arguments: [d_date_sk#9, d_week_seq#10, d_day_name#11]

(7) CometFilter
Input [3]: [d_date_sk#9, d_week_seq#10, d_day_name#11]
Condition : (isnotnull(d_date_sk#9) AND isnotnull(d_week_seq#10))

(8) CometBroadcastExchange
Input [3]: [d_date_sk#9, d_week_seq#10, d_day_name#11]
Arguments: [d_date_sk#9, d_week_seq#10, d_day_name#11]

(9) CometBroadcastHashJoin
Left output [2]: [sold_date_sk#3, sales_price#4]
Right output [3]: [d_date_sk#9, d_week_seq#10, d_day_name#11]
Arguments: [sold_date_sk#3], [d_date_sk#9], Inner, BuildRight

(10) CometProject
Input [5]: [sold_date_sk#3, sales_price#4, d_date_sk#9, d_week_seq#10, d_day_name#11]
Arguments: [sales_price#4, d_week_seq#10, d_day_name#11], [sales_price#4, d_week_seq#10, d_day_name#11]

(11) ColumnarToRow [codegen id : 1]
Input [3]: [sales_price#4, d_week_seq#10, d_day_name#11]

(12) HashAggregate [codegen id : 1]
Input [3]: [sales_price#4, d_week_seq#10, d_day_name#11]
Keys [1]: [d_week_seq#10]
Functions [7]: [partial_sum(UnscaledValue(CASE WHEN (d_day_name#11 = Sunday   ) THEN sales_price#4 END)), partial_sum(UnscaledValue(CASE WHEN (d_day_name#11 = Monday   ) THEN sales_price#4 END)), partial_sum(UnscaledValue(CASE WHEN (d_day_name#11 = Tuesday  ) THEN sales_price#4 END)), partial_sum(UnscaledValue(CASE WHEN (d_day_name#11 = Wednesday) THEN sales_price#4 END)), partial_sum(UnscaledValue(CASE WHEN (d_day_name#11 = Thursday ) THEN sales_price#4 END)), partial_sum(UnscaledValue(CASE WHEN (d_day_name#11 = Friday   ) THEN sales_price#4 END)), partial_sum(UnscaledValue(CASE WHEN (d_day_name#11 = Saturday ) THEN sales_price#4 END))]
Aggregate Attributes [7]: [sum#12, sum#13, sum#14, sum#15, sum#16, sum#17, sum#18]
Results [8]: [d_week_seq#10, sum#19, sum#20, sum#21, sum#22, sum#23, sum#24, sum#25]

(13) Exchange
Input [8]: [d_week_seq#10, sum#19, sum#20, sum#21, sum#22, sum#23, sum#24, sum#25]
Arguments: hashpartitioning(d_week_seq#10, 5), ENSURE_REQUIREMENTS, [plan_id=1]

(14) HashAggregate [codegen id : 6]
Input [8]: [d_week_seq#10, sum#19, sum#20, sum#21, sum#22, sum#23, sum#24, sum#25]
Keys [1]: [d_week_seq#10]
Functions [7]: [sum(UnscaledValue(CASE WHEN (d_day_name#11 = Sunday   ) THEN sales_price#4 END)), sum(UnscaledValue(CASE WHEN (d_day_name#11 = Monday   ) THEN sales_price#4 END)), sum(UnscaledValue(CASE WHEN (d_day_name#11 = Tuesday  ) THEN sales_price#4 END)), sum(UnscaledValue(CASE WHEN (d_day_name#11 = Wednesday) THEN sales_price#4 END)), sum(UnscaledValue(CASE WHEN (d_day_name#11 = Thursday ) THEN sales_price#4 END)), sum(UnscaledValue(CASE WHEN (d_day_name#11 = Friday   ) THEN sales_price#4 END)), sum(UnscaledValue(CASE WHEN (d_day_name#11 = Saturday ) THEN sales_price#4 END))]
Aggregate Attributes [7]: [sum(UnscaledValue(CASE WHEN (d_day_name#11 = Sunday   ) THEN sales_price#4 END))#26, sum(UnscaledValue(CASE WHEN (d_day_name#11 = Monday   ) THEN sales_price#4 END))#27, sum(UnscaledValue(CASE WHEN (d_day_name#11 = Tuesday  ) THEN sales_price#4 END))#28, sum(UnscaledValue(CASE WHEN (d_day_name#11 = Wednesday) THEN sales_price#4 END))#29, sum(UnscaledValue(CASE WHEN (d_day_name#11 = Thursday ) THEN sales_price#4 END))#30, sum(UnscaledValue(CASE WHEN (d_day_name#11 = Friday   ) THEN sales_price#4 END))#31, sum(UnscaledValue(CASE WHEN (d_day_name#11 = Saturday ) THEN sales_price#4 END))#32]
Results [8]: [d_week_seq#10, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Sunday   ) THEN sales_price#4 END))#26,17,2) AS sun_sales#33, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Monday   ) THEN sales_price#4 END))#27,17,2) AS mon_sales#34, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Tuesday  ) THEN sales_price#4 END))#28,17,2) AS tue_sales#35, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Wednesday) THEN sales_price#4 END))#29,17,2) AS wed_sales#36, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Thursday ) THEN sales_price#4 END))#30,17,2) AS thu_sales#37, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Friday   ) THEN sales_price#4 END))#31,17,2) AS fri_sales#38, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Saturday ) THEN sales_price#4 END))#32,17,2) AS sat_sales#39]

(15) CometNativeScan: `spark_catalog`.`default`.`date_dim`
Output [2]: [d_week_seq#40, d_year#41]
Arguments: [d_week_seq#40, d_year#41]

(16) CometFilter
Input [2]: [d_week_seq#40, d_year#41]
Condition : ((isnotnull(d_year#41) AND (d_year#41 = 2001)) AND isnotnull(d_week_seq#40))

(17) CometProject
Input [2]: [d_week_seq#40, d_year#41]
Arguments: [d_week_seq#40], [d_week_seq#40]

(18) ColumnarToRow [codegen id : 2]
Input [1]: [d_week_seq#40]

(19) BroadcastExchange
Input [1]: [d_week_seq#40]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2]

(20) BroadcastHashJoin [codegen id : 6]
Left keys [1]: [d_week_seq#10]
Right keys [1]: [d_week_seq#40]
Join type: Inner
Join condition: None

(21) Project [codegen id : 6]
Output [8]: [d_week_seq#10 AS d_week_seq1#42, sun_sales#33 AS sun_sales1#43, mon_sales#34 AS mon_sales1#44, tue_sales#35 AS tue_sales1#45, wed_sales#36 AS wed_sales1#46, thu_sales#37 AS thu_sales1#47, fri_sales#38 AS fri_sales1#48, sat_sales#39 AS sat_sales1#49]
Input [9]: [d_week_seq#10, sun_sales#33, mon_sales#34, tue_sales#35, wed_sales#36, thu_sales#37, fri_sales#38, sat_sales#39, d_week_seq#40]

(22) ReusedExchange [Reuses operator id: 13]
Output [8]: [d_week_seq#50, sum#51, sum#52, sum#53, sum#54, sum#55, sum#56, sum#57]

(23) HashAggregate [codegen id : 5]
Input [8]: [d_week_seq#50, sum#51, sum#52, sum#53, sum#54, sum#55, sum#56, sum#57]
Keys [1]: [d_week_seq#50]
Functions [7]: [sum(UnscaledValue(CASE WHEN (d_day_name#58 = Sunday   ) THEN sales_price#59 END)), sum(UnscaledValue(CASE WHEN (d_day_name#58 = Monday   ) THEN sales_price#59 END)), sum(UnscaledValue(CASE WHEN (d_day_name#58 = Tuesday  ) THEN sales_price#59 END)), sum(UnscaledValue(CASE WHEN (d_day_name#58 = Wednesday) THEN sales_price#59 END)), sum(UnscaledValue(CASE WHEN (d_day_name#58 = Thursday ) THEN sales_price#59 END)), sum(UnscaledValue(CASE WHEN (d_day_name#58 = Friday   ) THEN sales_price#59 END)), sum(UnscaledValue(CASE WHEN (d_day_name#58 = Saturday ) THEN sales_price#59 END))]
Aggregate Attributes [7]: [sum(UnscaledValue(CASE WHEN (d_day_name#58 = Sunday   ) THEN sales_price#59 END))#26, sum(UnscaledValue(CASE WHEN (d_day_name#58 = Monday   ) THEN sales_price#59 END))#27, sum(UnscaledValue(CASE WHEN (d_day_name#58 = Tuesday  ) THEN sales_price#59 END))#28, sum(UnscaledValue(CASE WHEN (d_day_name#58 = Wednesday) THEN sales_price#59 END))#29, sum(UnscaledValue(CASE WHEN (d_day_name#58 = Thursday ) THEN sales_price#59 END))#30, sum(UnscaledValue(CASE WHEN (d_day_name#58 = Friday   ) THEN sales_price#59 END))#31, sum(UnscaledValue(CASE WHEN (d_day_name#58 = Saturday ) THEN sales_price#59 END))#32]
Results [8]: [d_week_seq#50, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#58 = Sunday   ) THEN sales_price#59 END))#26,17,2) AS sun_sales#60, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#58 = Monday   ) THEN sales_price#59 END))#27,17,2) AS mon_sales#61, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#58 = Tuesday  ) THEN sales_price#59 END))#28,17,2) AS tue_sales#62, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#58 = Wednesday) THEN sales_price#59 END))#29,17,2) AS wed_sales#63, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#58 = Thursday ) THEN sales_price#59 END))#30,17,2) AS thu_sales#64, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#58 = Friday   ) THEN sales_price#59 END))#31,17,2) AS fri_sales#65, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#58 = Saturday ) THEN sales_price#59 END))#32,17,2) AS sat_sales#66]

(24) CometNativeScan: `spark_catalog`.`default`.`date_dim`
Output [2]: [d_week_seq#67, d_year#68]
Arguments: [d_week_seq#67, d_year#68]

(25) CometFilter
Input [2]: [d_week_seq#67, d_year#68]
Condition : ((isnotnull(d_year#68) AND (d_year#68 = 2002)) AND isnotnull(d_week_seq#67))

(26) CometProject
Input [2]: [d_week_seq#67, d_year#68]
Arguments: [d_week_seq#67], [d_week_seq#67]

(27) ColumnarToRow [codegen id : 4]
Input [1]: [d_week_seq#67]

(28) BroadcastExchange
Input [1]: [d_week_seq#67]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]

(29) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [d_week_seq#50]
Right keys [1]: [d_week_seq#67]
Join type: Inner
Join condition: None

(30) Project [codegen id : 5]
Output [8]: [d_week_seq#50 AS d_week_seq2#69, sun_sales#60 AS sun_sales2#70, mon_sales#61 AS mon_sales2#71, tue_sales#62 AS tue_sales2#72, wed_sales#63 AS wed_sales2#73, thu_sales#64 AS thu_sales2#74, fri_sales#65 AS fri_sales2#75, sat_sales#66 AS sat_sales2#76]
Input [9]: [d_week_seq#50, sun_sales#60, mon_sales#61, tue_sales#62, wed_sales#63, thu_sales#64, fri_sales#65, sat_sales#66, d_week_seq#67]

(31) BroadcastExchange
Input [8]: [d_week_seq2#69, sun_sales2#70, mon_sales2#71, tue_sales2#72, wed_sales2#73, thu_sales2#74, fri_sales2#75, sat_sales2#76]
Arguments: HashedRelationBroadcastMode(List(cast((input[0, int, true] - 53) as bigint)),false), [plan_id=4]

(32) BroadcastHashJoin [codegen id : 6]
Left keys [1]: [d_week_seq1#42]
Right keys [1]: [(d_week_seq2#69 - 53)]
Join type: Inner
Join condition: None

(33) Project [codegen id : 6]
Output [8]: [d_week_seq1#42, round((sun_sales1#43 / sun_sales2#70), 2) AS round((sun_sales1 / sun_sales2), 2)#77, round((mon_sales1#44 / mon_sales2#71), 2) AS round((mon_sales1 / mon_sales2), 2)#78, round((tue_sales1#45 / tue_sales2#72), 2) AS round((tue_sales1 / tue_sales2), 2)#79, round((wed_sales1#46 / wed_sales2#73), 2) AS round((wed_sales1 / wed_sales2), 2)#80, round((thu_sales1#47 / thu_sales2#74), 2) AS round((thu_sales1 / thu_sales2), 2)#81, round((fri_sales1#48 / fri_sales2#75), 2) AS round((fri_sales1 / fri_sales2), 2)#82, round((sat_sales1#49 / sat_sales2#76), 2) AS round((sat_sales1 / sat_sales2), 2)#83]
Input [16]: [d_week_seq1#42, sun_sales1#43, mon_sales1#44, tue_sales1#45, wed_sales1#46, thu_sales1#47, fri_sales1#48, sat_sales1#49, d_week_seq2#69, sun_sales2#70, mon_sales2#71, tue_sales2#72, wed_sales2#73, thu_sales2#74, fri_sales2#75, sat_sales2#76]

(34) CometColumnarExchange
Input [8]: [d_week_seq1#42, round((sun_sales1 / sun_sales2), 2)#77, round((mon_sales1 / mon_sales2), 2)#78, round((tue_sales1 / tue_sales2), 2)#79, round((wed_sales1 / wed_sales2), 2)#80, round((thu_sales1 / thu_sales2), 2)#81, round((fri_sales1 / fri_sales2), 2)#82, round((sat_sales1 / sat_sales2), 2)#83]
Arguments: rangepartitioning(d_week_seq1#42 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5]

(35) CometSort
Input [8]: [d_week_seq1#42, round((sun_sales1 / sun_sales2), 2)#77, round((mon_sales1 / mon_sales2), 2)#78, round((tue_sales1 / tue_sales2), 2)#79, round((wed_sales1 / wed_sales2), 2)#80, round((thu_sales1 / thu_sales2), 2)#81, round((fri_sales1 / fri_sales2), 2)#82, round((sat_sales1 / sat_sales2), 2)#83]
Arguments: [d_week_seq1#42, round((sun_sales1 / sun_sales2), 2)#77, round((mon_sales1 / mon_sales2), 2)#78, round((tue_sales1 / tue_sales2), 2)#79, round((wed_sales1 / wed_sales2), 2)#80, round((thu_sales1 / thu_sales2), 2)#81, round((fri_sales1 / fri_sales2), 2)#82, round((sat_sales1 / sat_sales2), 2)#83], [d_week_seq1#42 ASC NULLS FIRST]

(36) ColumnarToRow [codegen id : 7]
Input [8]: [d_week_seq1#42, round((sun_sales1 / sun_sales2), 2)#77, round((mon_sales1 / mon_sales2), 2)#78, round((tue_sales1 / tue_sales2), 2)#79, round((wed_sales1 / wed_sales2), 2)#80, round((thu_sales1 / thu_sales2), 2)#81, round((fri_sales1 / fri_sales2), 2)#82, round((sat_sales1 / sat_sales2), 2)#83]

