== Physical Plan ==
* CometColumnarToRow (38)
+- CometSort (37)
   +- CometColumnarExchange (36)
      +- * Project (35)
         +- * BroadcastHashJoin Inner BuildRight (34)
            :- * Project (22)
            :  +- * BroadcastHashJoin Inner BuildRight (21)
            :     :- * HashAggregate (15)
            :     :  +- * CometColumnarToRow (14)
            :     :     +- CometColumnarExchange (13)
            :     :        +- * HashAggregate (12)
            :     :           +- * CometColumnarToRow (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 (20)
            :        +- * CometColumnarToRow (19)
            :           +- CometProject (18)
            :              +- CometFilter (17)
            :                 +- CometScan parquet spark_catalog.default.date_dim (16)
            +- BroadcastExchange (33)
               +- * Project (32)
                  +- * BroadcastHashJoin Inner BuildRight (31)
                     :- * HashAggregate (25)
                     :  +- * CometColumnarToRow (24)
                     :     +- ReusedExchange (23)
                     +- BroadcastExchange (30)
                        +- * CometColumnarToRow (29)
                           +- CometProject (28)
                              +- CometFilter (27)
                                 +- CometScan parquet spark_catalog.default.date_dim (26)


(1) CometScan 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) CometScan 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) CometScan 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) CometColumnarToRow [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) CometColumnarExchange
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, CometColumnarShuffle, [plan_id=1]

(14) CometColumnarToRow [codegen id : 6]
Input [8]: [d_week_seq#10, sum#19, sum#20, sum#21, sum#22, sum#23, sum#24, sum#25]

(15) 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]

(16) CometScan parquet spark_catalog.default.date_dim
Output [2]: [d_week_seq#40, d_year#41]
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>

(17) 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))

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

(19) CometColumnarToRow [codegen id : 2]
Input [1]: [d_week_seq#40]

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

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

(22) 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]

(23) 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]

(24) CometColumnarToRow [codegen id : 5]
Input [8]: [d_week_seq#50, sum#51, sum#52, sum#53, sum#54, sum#55, sum#56, sum#57]

(25) 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]

(26) CometScan parquet spark_catalog.default.date_dim
Output [2]: [d_week_seq#67, d_year#68]
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>

(27) 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))

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

(29) CometColumnarToRow [codegen id : 4]
Input [1]: [d_week_seq#67]

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

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

(32) 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]

(33) 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]

(34) 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

(35) 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]

(36) 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]

(37) 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]

(38) CometColumnarToRow [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]

