== Physical Plan ==
* Sort (35)
+- Exchange (34)
   +- * Project (33)
      +- * BroadcastHashJoin Inner BuildRight (32)
         :- * Project (21)
         :  +- * BroadcastHashJoin Inner BuildRight (20)
         :     :- * HashAggregate (14)
         :     :  +- Exchange (13)
         :     :     +- * ColumnarToRow (12)
         :     :        +- CometHashAggregate (11)
         :     :           +- CometProject (10)
         :     :              +- CometBroadcastHashJoin (9)
         :     :                 :- CometUnion (5)
         :     :                 :  :- CometProject (2)
         :     :                 :  :  +- CometScan parquet spark_catalog.default.web_sales (1)
         :     :                 :  +- CometProject (4)
         :     :                 :     +- CometScan parquet spark_catalog.default.catalog_sales (3)
         :     :                 +- CometBroadcastExchange (8)
         :     :                    +- CometFilter (7)
         :     :                       +- CometScan parquet spark_catalog.default.date_dim (6)
         :     +- BroadcastExchange (19)
         :        +- * ColumnarToRow (18)
         :           +- CometProject (17)
         :              +- CometFilter (16)
         :                 +- CometScan parquet 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)
                              +- CometScan parquet spark_catalog.default.date_dim (24)


(1) Scan parquet spark_catalog.default.web_sales
Output [2]: [ws_ext_sales_price#1, ws_sold_date_sk#2]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#2)]
ReadSchema: struct<ws_ext_sales_price:decimal(7,2)>

(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) Scan parquet spark_catalog.default.catalog_sales
Output [2]: [cs_ext_sales_price#5, cs_sold_date_sk#6]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#6)]
ReadSchema: struct<cs_ext_sales_price:decimal(7,2)>

(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) Scan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#9, d_week_seq#10, d_day_name#11]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date_sk), IsNotNull(d_week_seq)]
ReadSchema: struct<d_date_sk:int,d_week_seq:int,d_day_name:string>

(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) CometHashAggregate
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))]

(12) ColumnarToRow [codegen id : 1]
Input [8]: [d_week_seq#10, sum#12, sum#13, sum#14, sum#15, sum#16, sum#17, sum#18]

(13) Exchange
Input [8]: [d_week_seq#10, sum#12, sum#13, sum#14, sum#15, sum#16, sum#17, sum#18]
Arguments: hashpartitioning(d_week_seq#10, 5), ENSURE_REQUIREMENTS, [plan_id=1]

(14) HashAggregate [codegen id : 6]
Input [8]: [d_week_seq#10, sum#12, sum#13, sum#14, sum#15, sum#16, sum#17, sum#18]
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))#19, sum(UnscaledValue(CASE WHEN (d_day_name#11 = Monday   ) THEN sales_price#4 END))#20, sum(UnscaledValue(CASE WHEN (d_day_name#11 = Tuesday  ) THEN sales_price#4 END))#21, sum(UnscaledValue(CASE WHEN (d_day_name#11 = Wednesday) THEN sales_price#4 END))#22, sum(UnscaledValue(CASE WHEN (d_day_name#11 = Thursday ) THEN sales_price#4 END))#23, sum(UnscaledValue(CASE WHEN (d_day_name#11 = Friday   ) THEN sales_price#4 END))#24, sum(UnscaledValue(CASE WHEN (d_day_name#11 = Saturday ) THEN sales_price#4 END))#25]
Results [8]: [d_week_seq#10, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Sunday   ) THEN sales_price#4 END))#19,17,2) AS sun_sales#26, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Monday   ) THEN sales_price#4 END))#20,17,2) AS mon_sales#27, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Tuesday  ) THEN sales_price#4 END))#21,17,2) AS tue_sales#28, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Wednesday) THEN sales_price#4 END))#22,17,2) AS wed_sales#29, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Thursday ) THEN sales_price#4 END))#23,17,2) AS thu_sales#30, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Friday   ) THEN sales_price#4 END))#24,17,2) AS fri_sales#31, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Saturday ) THEN sales_price#4 END))#25,17,2) AS sat_sales#32]

(15) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_week_seq#33, d_year#34]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_week_seq)]
ReadSchema: struct<d_week_seq:int,d_year:int>

(16) CometFilter
Input [2]: [d_week_seq#33, d_year#34]
Condition : ((isnotnull(d_year#34) AND (d_year#34 = 2001)) AND isnotnull(d_week_seq#33))

(17) CometProject
Input [2]: [d_week_seq#33, d_year#34]
Arguments: [d_week_seq#33], [d_week_seq#33]

(18) ColumnarToRow [codegen id : 2]
Input [1]: [d_week_seq#33]

(19) BroadcastExchange
Input [1]: [d_week_seq#33]
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#33]
Join type: Inner
Join condition: None

(21) Project [codegen id : 6]
Output [8]: [d_week_seq#10 AS d_week_seq1#35, sun_sales#26 AS sun_sales1#36, mon_sales#27 AS mon_sales1#37, tue_sales#28 AS tue_sales1#38, wed_sales#29 AS wed_sales1#39, thu_sales#30 AS thu_sales1#40, fri_sales#31 AS fri_sales1#41, sat_sales#32 AS sat_sales1#42]
Input [9]: [d_week_seq#10, sun_sales#26, mon_sales#27, tue_sales#28, wed_sales#29, thu_sales#30, fri_sales#31, sat_sales#32, d_week_seq#33]

(22) ReusedExchange [Reuses operator id: 13]
Output [8]: [d_week_seq#10, sum#43, sum#44, sum#45, sum#46, sum#47, sum#48, sum#49]

(23) HashAggregate [codegen id : 5]
Input [8]: [d_week_seq#10, sum#43, sum#44, sum#45, sum#46, sum#47, sum#48, sum#49]
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))#19, sum(UnscaledValue(CASE WHEN (d_day_name#11 = Monday   ) THEN sales_price#4 END))#20, sum(UnscaledValue(CASE WHEN (d_day_name#11 = Tuesday  ) THEN sales_price#4 END))#21, sum(UnscaledValue(CASE WHEN (d_day_name#11 = Wednesday) THEN sales_price#4 END))#22, sum(UnscaledValue(CASE WHEN (d_day_name#11 = Thursday ) THEN sales_price#4 END))#23, sum(UnscaledValue(CASE WHEN (d_day_name#11 = Friday   ) THEN sales_price#4 END))#24, sum(UnscaledValue(CASE WHEN (d_day_name#11 = Saturday ) THEN sales_price#4 END))#25]
Results [8]: [d_week_seq#10, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Sunday   ) THEN sales_price#4 END))#19,17,2) AS sun_sales#26, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Monday   ) THEN sales_price#4 END))#20,17,2) AS mon_sales#27, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Tuesday  ) THEN sales_price#4 END))#21,17,2) AS tue_sales#28, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Wednesday) THEN sales_price#4 END))#22,17,2) AS wed_sales#29, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Thursday ) THEN sales_price#4 END))#23,17,2) AS thu_sales#30, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Friday   ) THEN sales_price#4 END))#24,17,2) AS fri_sales#31, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#11 = Saturday ) THEN sales_price#4 END))#25,17,2) AS sat_sales#32]

(24) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_week_seq#50, d_year#51]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_week_seq)]
ReadSchema: struct<d_week_seq:int,d_year:int>

(25) CometFilter
Input [2]: [d_week_seq#50, d_year#51]
Condition : ((isnotnull(d_year#51) AND (d_year#51 = 2002)) AND isnotnull(d_week_seq#50))

(26) CometProject
Input [2]: [d_week_seq#50, d_year#51]
Arguments: [d_week_seq#50], [d_week_seq#50]

(27) ColumnarToRow [codegen id : 4]
Input [1]: [d_week_seq#50]

(28) BroadcastExchange
Input [1]: [d_week_seq#50]
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#10]
Right keys [1]: [d_week_seq#50]
Join type: Inner
Join condition: None

(30) Project [codegen id : 5]
Output [8]: [d_week_seq#10 AS d_week_seq2#52, sun_sales#26 AS sun_sales2#53, mon_sales#27 AS mon_sales2#54, tue_sales#28 AS tue_sales2#55, wed_sales#29 AS wed_sales2#56, thu_sales#30 AS thu_sales2#57, fri_sales#31 AS fri_sales2#58, sat_sales#32 AS sat_sales2#59]
Input [9]: [d_week_seq#10, sun_sales#26, mon_sales#27, tue_sales#28, wed_sales#29, thu_sales#30, fri_sales#31, sat_sales#32, d_week_seq#50]

(31) BroadcastExchange
Input [8]: [d_week_seq2#52, sun_sales2#53, mon_sales2#54, tue_sales2#55, wed_sales2#56, thu_sales2#57, fri_sales2#58, sat_sales2#59]
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#35]
Right keys [1]: [(d_week_seq2#52 - 53)]
Join type: Inner
Join condition: None

(33) Project [codegen id : 6]
Output [8]: [d_week_seq1#35, round((sun_sales1#36 / sun_sales2#53), 2) AS round((sun_sales1 / sun_sales2), 2)#60, round((mon_sales1#37 / mon_sales2#54), 2) AS round((mon_sales1 / mon_sales2), 2)#61, round((tue_sales1#38 / tue_sales2#55), 2) AS round((tue_sales1 / tue_sales2), 2)#62, round((wed_sales1#39 / wed_sales2#56), 2) AS round((wed_sales1 / wed_sales2), 2)#63, round((thu_sales1#40 / thu_sales2#57), 2) AS round((thu_sales1 / thu_sales2), 2)#64, round((fri_sales1#41 / fri_sales2#58), 2) AS round((fri_sales1 / fri_sales2), 2)#65, round((sat_sales1#42 / sat_sales2#59), 2) AS round((sat_sales1 / sat_sales2), 2)#66]
Input [16]: [d_week_seq1#35, sun_sales1#36, mon_sales1#37, tue_sales1#38, wed_sales1#39, thu_sales1#40, fri_sales1#41, sat_sales1#42, d_week_seq2#52, sun_sales2#53, mon_sales2#54, tue_sales2#55, wed_sales2#56, thu_sales2#57, fri_sales2#58, sat_sales2#59]

(34) Exchange
Input [8]: [d_week_seq1#35, round((sun_sales1 / sun_sales2), 2)#60, round((mon_sales1 / mon_sales2), 2)#61, round((tue_sales1 / tue_sales2), 2)#62, round((wed_sales1 / wed_sales2), 2)#63, round((thu_sales1 / thu_sales2), 2)#64, round((fri_sales1 / fri_sales2), 2)#65, round((sat_sales1 / sat_sales2), 2)#66]
Arguments: rangepartitioning(d_week_seq1#35 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, [plan_id=5]

(35) Sort [codegen id : 7]
Input [8]: [d_week_seq1#35, round((sun_sales1 / sun_sales2), 2)#60, round((mon_sales1 / mon_sales2), 2)#61, round((tue_sales1 / tue_sales2), 2)#62, round((wed_sales1 / wed_sales2), 2)#63, round((thu_sales1 / thu_sales2), 2)#64, round((fri_sales1 / fri_sales2), 2)#65, round((sat_sales1 / sat_sales2), 2)#66]
Arguments: [d_week_seq1#35 ASC NULLS FIRST], true, 0

