== Physical Plan ==
* CometColumnarToRow (34)
+- CometSort (33)
   +- CometExchange (32)
      +- CometProject (31)
         +- CometBroadcastHashJoin (30)
            :- CometProject (20)
            :  +- CometBroadcastHashJoin (19)
            :     :- CometHashAggregate (14)
            :     :  +- CometExchange (13)
            :     :     +- CometHashAggregate (12)
            :     :        +- CometProject (11)
            :     :           +- CometBroadcastHashJoin (10)
            :     :              :- CometUnion (5)
            :     :              :  :- CometProject (2)
            :     :              :  :  +- CometNativeScan parquet spark_catalog.default.web_sales (1)
            :     :              :  +- CometProject (4)
            :     :              :     +- CometNativeScan parquet spark_catalog.default.catalog_sales (3)
            :     :              +- CometBroadcastExchange (9)
            :     :                 +- CometProject (8)
            :     :                    +- CometFilter (7)
            :     :                       +- CometNativeScan parquet spark_catalog.default.date_dim (6)
            :     +- CometBroadcastExchange (18)
            :        +- CometProject (17)
            :           +- CometFilter (16)
            :              +- CometNativeScan parquet spark_catalog.default.date_dim (15)
            +- CometBroadcastExchange (29)
               +- CometProject (28)
                  +- CometBroadcastHashJoin (27)
                     :- CometHashAggregate (22)
                     :  +- ReusedExchange (21)
                     +- CometBroadcastExchange (26)
                        +- CometProject (25)
                           +- CometFilter (24)
                              +- CometNativeScan parquet spark_catalog.default.date_dim (23)


(1) CometNativeScan parquet spark_catalog.default.web_sales
Output [2]: [ws_ext_sales_price#1, ws_sold_date_sk#2]
Batched: true
Location: InMemoryFileIndex(0 paths)[]
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) CometNativeScan parquet spark_catalog.default.catalog_sales
Output [2]: [cs_ext_sales_price#5, cs_sold_date_sk#6]
Batched: true
Location: InMemoryFileIndex(0 paths)[]
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) CometNativeScan 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) CometProject
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#12], [d_date_sk#9, d_week_seq#10, static_invoke(CharVarcharCodegenUtils.readSidePadding(d_day_name#11, 9)) AS d_day_name#12]

(9) CometBroadcastExchange
Input [3]: [d_date_sk#9, d_week_seq#10, d_day_name#12]
Arguments: [d_date_sk#9, d_week_seq#10, d_day_name#12]

(10) 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#12]
Arguments: [sold_date_sk#3], [d_date_sk#9], Inner, BuildRight

(11) CometProject
Input [5]: [sold_date_sk#3, sales_price#4, d_date_sk#9, d_week_seq#10, d_day_name#12]
Arguments: [sales_price#4, d_week_seq#10, d_day_name#12], [sales_price#4, d_week_seq#10, d_day_name#12]

(12) CometHashAggregate
Input [3]: [sales_price#4, d_week_seq#10, d_day_name#12]
Keys [1]: [d_week_seq#10]
Functions [7]: [partial_sum(UnscaledValue(CASE WHEN (d_day_name#12 = Sunday   ) THEN sales_price#4 END)), partial_sum(UnscaledValue(CASE WHEN (d_day_name#12 = Monday   ) THEN sales_price#4 END)), partial_sum(UnscaledValue(CASE WHEN (d_day_name#12 = Tuesday  ) THEN sales_price#4 END)), partial_sum(UnscaledValue(CASE WHEN (d_day_name#12 = Wednesday) THEN sales_price#4 END)), partial_sum(UnscaledValue(CASE WHEN (d_day_name#12 = Thursday ) THEN sales_price#4 END)), partial_sum(UnscaledValue(CASE WHEN (d_day_name#12 = Friday   ) THEN sales_price#4 END)), partial_sum(UnscaledValue(CASE WHEN (d_day_name#12 = Saturday ) THEN sales_price#4 END))]

(13) CometExchange
Input [8]: [d_week_seq#10, sum#13, sum#14, sum#15, sum#16, sum#17, sum#18, sum#19]
Arguments: hashpartitioning(d_week_seq#10, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=1]

(14) CometHashAggregate
Input [8]: [d_week_seq#10, sum#13, sum#14, sum#15, sum#16, sum#17, sum#18, sum#19]
Keys [1]: [d_week_seq#10]
Functions [7]: [sum(UnscaledValue(CASE WHEN (d_day_name#12 = Sunday   ) THEN sales_price#4 END)), sum(UnscaledValue(CASE WHEN (d_day_name#12 = Monday   ) THEN sales_price#4 END)), sum(UnscaledValue(CASE WHEN (d_day_name#12 = Tuesday  ) THEN sales_price#4 END)), sum(UnscaledValue(CASE WHEN (d_day_name#12 = Wednesday) THEN sales_price#4 END)), sum(UnscaledValue(CASE WHEN (d_day_name#12 = Thursday ) THEN sales_price#4 END)), sum(UnscaledValue(CASE WHEN (d_day_name#12 = Friday   ) THEN sales_price#4 END)), sum(UnscaledValue(CASE WHEN (d_day_name#12 = Saturday ) THEN sales_price#4 END))]

(15) CometNativeScan parquet spark_catalog.default.date_dim
Output [2]: [d_week_seq#20, d_year#21]
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#20, d_year#21]
Condition : ((isnotnull(d_year#21) AND (d_year#21 = 2001)) AND isnotnull(d_week_seq#20))

(17) CometProject
Input [2]: [d_week_seq#20, d_year#21]
Arguments: [d_week_seq#20], [d_week_seq#20]

(18) CometBroadcastExchange
Input [1]: [d_week_seq#20]
Arguments: [d_week_seq#20]

(19) CometBroadcastHashJoin
Left output [8]: [d_week_seq#10, sun_sales#22, mon_sales#23, tue_sales#24, wed_sales#25, thu_sales#26, fri_sales#27, sat_sales#28]
Right output [1]: [d_week_seq#20]
Arguments: [d_week_seq#10], [d_week_seq#20], Inner, BuildRight

(20) CometProject
Input [9]: [d_week_seq#10, sun_sales#22, mon_sales#23, tue_sales#24, wed_sales#25, thu_sales#26, fri_sales#27, sat_sales#28, d_week_seq#20]
Arguments: [d_week_seq1#29, sun_sales1#30, mon_sales1#31, tue_sales1#32, wed_sales1#33, thu_sales1#34, fri_sales1#35, sat_sales1#36], [d_week_seq#10 AS d_week_seq1#29, sun_sales#22 AS sun_sales1#30, mon_sales#23 AS mon_sales1#31, tue_sales#24 AS tue_sales1#32, wed_sales#25 AS wed_sales1#33, thu_sales#26 AS thu_sales1#34, fri_sales#27 AS fri_sales1#35, sat_sales#28 AS sat_sales1#36]

(21) ReusedExchange [Reuses operator id: 13]
Output [8]: [d_week_seq#37, sum#38, sum#39, sum#40, sum#41, sum#42, sum#43, sum#44]

(22) CometHashAggregate
Input [8]: [d_week_seq#37, sum#38, sum#39, sum#40, sum#41, sum#42, sum#43, sum#44]
Keys [1]: [d_week_seq#37]
Functions [7]: [sum(UnscaledValue(CASE WHEN (d_day_name#45 = Sunday   ) THEN sales_price#46 END)), sum(UnscaledValue(CASE WHEN (d_day_name#45 = Monday   ) THEN sales_price#46 END)), sum(UnscaledValue(CASE WHEN (d_day_name#45 = Tuesday  ) THEN sales_price#46 END)), sum(UnscaledValue(CASE WHEN (d_day_name#45 = Wednesday) THEN sales_price#46 END)), sum(UnscaledValue(CASE WHEN (d_day_name#45 = Thursday ) THEN sales_price#46 END)), sum(UnscaledValue(CASE WHEN (d_day_name#45 = Friday   ) THEN sales_price#46 END)), sum(UnscaledValue(CASE WHEN (d_day_name#45 = Saturday ) THEN sales_price#46 END))]

(23) CometNativeScan parquet spark_catalog.default.date_dim
Output [2]: [d_week_seq#47, d_year#48]
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>

(24) CometFilter
Input [2]: [d_week_seq#47, d_year#48]
Condition : ((isnotnull(d_year#48) AND (d_year#48 = 2002)) AND isnotnull(d_week_seq#47))

(25) CometProject
Input [2]: [d_week_seq#47, d_year#48]
Arguments: [d_week_seq#47], [d_week_seq#47]

(26) CometBroadcastExchange
Input [1]: [d_week_seq#47]
Arguments: [d_week_seq#47]

(27) CometBroadcastHashJoin
Left output [8]: [d_week_seq#37, sun_sales#49, mon_sales#50, tue_sales#51, wed_sales#52, thu_sales#53, fri_sales#54, sat_sales#55]
Right output [1]: [d_week_seq#47]
Arguments: [d_week_seq#37], [d_week_seq#47], Inner, BuildRight

(28) CometProject
Input [9]: [d_week_seq#37, sun_sales#49, mon_sales#50, tue_sales#51, wed_sales#52, thu_sales#53, fri_sales#54, sat_sales#55, d_week_seq#47]
Arguments: [d_week_seq2#56, sun_sales2#57, mon_sales2#58, tue_sales2#59, wed_sales2#60, thu_sales2#61, fri_sales2#62, sat_sales2#63], [d_week_seq#37 AS d_week_seq2#56, sun_sales#49 AS sun_sales2#57, mon_sales#50 AS mon_sales2#58, tue_sales#51 AS tue_sales2#59, wed_sales#52 AS wed_sales2#60, thu_sales#53 AS thu_sales2#61, fri_sales#54 AS fri_sales2#62, sat_sales#55 AS sat_sales2#63]

(29) CometBroadcastExchange
Input [8]: [d_week_seq2#56, sun_sales2#57, mon_sales2#58, tue_sales2#59, wed_sales2#60, thu_sales2#61, fri_sales2#62, sat_sales2#63]
Arguments: [d_week_seq2#56, sun_sales2#57, mon_sales2#58, tue_sales2#59, wed_sales2#60, thu_sales2#61, fri_sales2#62, sat_sales2#63]

(30) CometBroadcastHashJoin
Left output [8]: [d_week_seq1#29, sun_sales1#30, mon_sales1#31, tue_sales1#32, wed_sales1#33, thu_sales1#34, fri_sales1#35, sat_sales1#36]
Right output [8]: [d_week_seq2#56, sun_sales2#57, mon_sales2#58, tue_sales2#59, wed_sales2#60, thu_sales2#61, fri_sales2#62, sat_sales2#63]
Arguments: [d_week_seq1#29], [(d_week_seq2#56 - 53)], Inner, BuildRight

(31) CometProject
Input [16]: [d_week_seq1#29, sun_sales1#30, mon_sales1#31, tue_sales1#32, wed_sales1#33, thu_sales1#34, fri_sales1#35, sat_sales1#36, d_week_seq2#56, sun_sales2#57, mon_sales2#58, tue_sales2#59, wed_sales2#60, thu_sales2#61, fri_sales2#62, sat_sales2#63]
Arguments: [d_week_seq1#29, round((sun_sales1 / sun_sales2), 2)#64, round((mon_sales1 / mon_sales2), 2)#65, round((tue_sales1 / tue_sales2), 2)#66, round((wed_sales1 / wed_sales2), 2)#67, round((thu_sales1 / thu_sales2), 2)#68, round((fri_sales1 / fri_sales2), 2)#69, round((sat_sales1 / sat_sales2), 2)#70], [d_week_seq1#29, round((sun_sales1#30 / sun_sales2#57), 2) AS round((sun_sales1 / sun_sales2), 2)#64, round((mon_sales1#31 / mon_sales2#58), 2) AS round((mon_sales1 / mon_sales2), 2)#65, round((tue_sales1#32 / tue_sales2#59), 2) AS round((tue_sales1 / tue_sales2), 2)#66, round((wed_sales1#33 / wed_sales2#60), 2) AS round((wed_sales1 / wed_sales2), 2)#67, round((thu_sales1#34 / thu_sales2#61), 2) AS round((thu_sales1 / thu_sales2), 2)#68, round((fri_sales1#35 / fri_sales2#62), 2) AS round((fri_sales1 / fri_sales2), 2)#69, round((sat_sales1#36 / sat_sales2#63), 2) AS round((sat_sales1 / sat_sales2), 2)#70]

(32) CometExchange
Input [8]: [d_week_seq1#29, round((sun_sales1 / sun_sales2), 2)#64, round((mon_sales1 / mon_sales2), 2)#65, round((tue_sales1 / tue_sales2), 2)#66, round((wed_sales1 / wed_sales2), 2)#67, round((thu_sales1 / thu_sales2), 2)#68, round((fri_sales1 / fri_sales2), 2)#69, round((sat_sales1 / sat_sales2), 2)#70]
Arguments: rangepartitioning(d_week_seq1#29 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2]

(33) CometSort
Input [8]: [d_week_seq1#29, round((sun_sales1 / sun_sales2), 2)#64, round((mon_sales1 / mon_sales2), 2)#65, round((tue_sales1 / tue_sales2), 2)#66, round((wed_sales1 / wed_sales2), 2)#67, round((thu_sales1 / thu_sales2), 2)#68, round((fri_sales1 / fri_sales2), 2)#69, round((sat_sales1 / sat_sales2), 2)#70]
Arguments: [d_week_seq1#29, round((sun_sales1 / sun_sales2), 2)#64, round((mon_sales1 / mon_sales2), 2)#65, round((tue_sales1 / tue_sales2), 2)#66, round((wed_sales1 / wed_sales2), 2)#67, round((thu_sales1 / thu_sales2), 2)#68, round((fri_sales1 / fri_sales2), 2)#69, round((sat_sales1 / sat_sales2), 2)#70], [d_week_seq1#29 ASC NULLS FIRST]

(34) CometColumnarToRow [codegen id : 1]
Input [8]: [d_week_seq1#29, round((sun_sales1 / sun_sales2), 2)#64, round((mon_sales1 / mon_sales2), 2)#65, round((tue_sales1 / tue_sales2), 2)#66, round((wed_sales1 / wed_sales2), 2)#67, round((thu_sales1 / thu_sales2), 2)#68, round((fri_sales1 / fri_sales2), 2)#69, round((sat_sales1 / sat_sales2), 2)#70]

