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


(1) Scan parquet spark_catalog.default.store_sales
Output [3]: [ss_store_sk#1, ss_sales_price#2, ss_sold_date_sk#3]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#3)]
PushedFilters: [IsNotNull(ss_store_sk)]
ReadSchema: struct<ss_store_sk:int,ss_sales_price:decimal(7,2)>

(2) CometFilter
Input [3]: [ss_store_sk#1, ss_sales_price#2, ss_sold_date_sk#3]
Condition : isnotnull(ss_store_sk#1)

(3) Scan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#4, d_week_seq#5, d_day_name#6]
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>

(4) CometFilter
Input [3]: [d_date_sk#4, d_week_seq#5, d_day_name#6]
Condition : (isnotnull(d_date_sk#4) AND isnotnull(d_week_seq#5))

(5) CometBroadcastExchange
Input [3]: [d_date_sk#4, d_week_seq#5, d_day_name#6]
Arguments: [d_date_sk#4, d_week_seq#5, d_day_name#6]

(6) CometBroadcastHashJoin
Left output [3]: [ss_store_sk#1, ss_sales_price#2, ss_sold_date_sk#3]
Right output [3]: [d_date_sk#4, d_week_seq#5, d_day_name#6]
Arguments: [ss_sold_date_sk#3], [d_date_sk#4], Inner, BuildRight

(7) CometProject
Input [6]: [ss_store_sk#1, ss_sales_price#2, ss_sold_date_sk#3, d_date_sk#4, d_week_seq#5, d_day_name#6]
Arguments: [ss_store_sk#1, ss_sales_price#2, d_week_seq#5, d_day_name#6], [ss_store_sk#1, ss_sales_price#2, d_week_seq#5, d_day_name#6]

(8) CometHashAggregate
Input [4]: [ss_store_sk#1, ss_sales_price#2, d_week_seq#5, d_day_name#6]
Keys [2]: [d_week_seq#5, ss_store_sk#1]
Functions [7]: [partial_sum(UnscaledValue(CASE WHEN (d_day_name#6 = Sunday   ) THEN ss_sales_price#2 END)), partial_sum(UnscaledValue(CASE WHEN (d_day_name#6 = Monday   ) THEN ss_sales_price#2 END)), partial_sum(UnscaledValue(CASE WHEN (d_day_name#6 = Tuesday  ) THEN ss_sales_price#2 END)), partial_sum(UnscaledValue(CASE WHEN (d_day_name#6 = Wednesday) THEN ss_sales_price#2 END)), partial_sum(UnscaledValue(CASE WHEN (d_day_name#6 = Thursday ) THEN ss_sales_price#2 END)), partial_sum(UnscaledValue(CASE WHEN (d_day_name#6 = Friday   ) THEN ss_sales_price#2 END)), partial_sum(UnscaledValue(CASE WHEN (d_day_name#6 = Saturday ) THEN ss_sales_price#2 END))]

(9) ColumnarToRow [codegen id : 1]
Input [9]: [d_week_seq#5, ss_store_sk#1, sum#7, sum#8, sum#9, sum#10, sum#11, sum#12, sum#13]

(10) Exchange
Input [9]: [d_week_seq#5, ss_store_sk#1, sum#7, sum#8, sum#9, sum#10, sum#11, sum#12, sum#13]
Arguments: hashpartitioning(d_week_seq#5, ss_store_sk#1, 5), ENSURE_REQUIREMENTS, [plan_id=1]

(11) HashAggregate [codegen id : 8]
Input [9]: [d_week_seq#5, ss_store_sk#1, sum#7, sum#8, sum#9, sum#10, sum#11, sum#12, sum#13]
Keys [2]: [d_week_seq#5, ss_store_sk#1]
Functions [7]: [sum(UnscaledValue(CASE WHEN (d_day_name#6 = Sunday   ) THEN ss_sales_price#2 END)), sum(UnscaledValue(CASE WHEN (d_day_name#6 = Monday   ) THEN ss_sales_price#2 END)), sum(UnscaledValue(CASE WHEN (d_day_name#6 = Tuesday  ) THEN ss_sales_price#2 END)), sum(UnscaledValue(CASE WHEN (d_day_name#6 = Wednesday) THEN ss_sales_price#2 END)), sum(UnscaledValue(CASE WHEN (d_day_name#6 = Thursday ) THEN ss_sales_price#2 END)), sum(UnscaledValue(CASE WHEN (d_day_name#6 = Friday   ) THEN ss_sales_price#2 END)), sum(UnscaledValue(CASE WHEN (d_day_name#6 = Saturday ) THEN ss_sales_price#2 END))]
Aggregate Attributes [7]: [sum(UnscaledValue(CASE WHEN (d_day_name#6 = Sunday   ) THEN ss_sales_price#2 END))#14, sum(UnscaledValue(CASE WHEN (d_day_name#6 = Monday   ) THEN ss_sales_price#2 END))#15, sum(UnscaledValue(CASE WHEN (d_day_name#6 = Tuesday  ) THEN ss_sales_price#2 END))#16, sum(UnscaledValue(CASE WHEN (d_day_name#6 = Wednesday) THEN ss_sales_price#2 END))#17, sum(UnscaledValue(CASE WHEN (d_day_name#6 = Thursday ) THEN ss_sales_price#2 END))#18, sum(UnscaledValue(CASE WHEN (d_day_name#6 = Friday   ) THEN ss_sales_price#2 END))#19, sum(UnscaledValue(CASE WHEN (d_day_name#6 = Saturday ) THEN ss_sales_price#2 END))#20]
Results [9]: [d_week_seq#5, ss_store_sk#1, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#6 = Sunday   ) THEN ss_sales_price#2 END))#14,17,2) AS sun_sales#21, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#6 = Monday   ) THEN ss_sales_price#2 END))#15,17,2) AS mon_sales#22, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#6 = Tuesday  ) THEN ss_sales_price#2 END))#16,17,2) AS tue_sales#23, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#6 = Wednesday) THEN ss_sales_price#2 END))#17,17,2) AS wed_sales#24, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#6 = Thursday ) THEN ss_sales_price#2 END))#18,17,2) AS thu_sales#25, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#6 = Friday   ) THEN ss_sales_price#2 END))#19,17,2) AS fri_sales#26, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#6 = Saturday ) THEN ss_sales_price#2 END))#20,17,2) AS sat_sales#27]

(12) Scan parquet spark_catalog.default.store
Output [3]: [s_store_sk#28, s_store_id#29, s_store_name#30]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk), IsNotNull(s_store_id)]
ReadSchema: struct<s_store_sk:int,s_store_id:string,s_store_name:string>

(13) CometFilter
Input [3]: [s_store_sk#28, s_store_id#29, s_store_name#30]
Condition : (isnotnull(s_store_sk#28) AND isnotnull(s_store_id#29))

(14) ColumnarToRow [codegen id : 2]
Input [3]: [s_store_sk#28, s_store_id#29, s_store_name#30]

(15) BroadcastExchange
Input [3]: [s_store_sk#28, s_store_id#29, s_store_name#30]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=2]

(16) BroadcastHashJoin [codegen id : 8]
Left keys [1]: [ss_store_sk#1]
Right keys [1]: [s_store_sk#28]
Join type: Inner
Join condition: None

(17) Project [codegen id : 8]
Output [10]: [d_week_seq#5, sun_sales#21, mon_sales#22, tue_sales#23, wed_sales#24, thu_sales#25, fri_sales#26, sat_sales#27, s_store_id#29, s_store_name#30]
Input [12]: [d_week_seq#5, ss_store_sk#1, sun_sales#21, mon_sales#22, tue_sales#23, wed_sales#24, thu_sales#25, fri_sales#26, sat_sales#27, s_store_sk#28, s_store_id#29, s_store_name#30]

(18) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_month_seq#31, d_week_seq#32]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_week_seq)]
ReadSchema: struct<d_month_seq:int,d_week_seq:int>

(19) CometFilter
Input [2]: [d_month_seq#31, d_week_seq#32]
Condition : (((isnotnull(d_month_seq#31) AND (d_month_seq#31 >= 1212)) AND (d_month_seq#31 <= 1223)) AND isnotnull(d_week_seq#32))

(20) CometProject
Input [2]: [d_month_seq#31, d_week_seq#32]
Arguments: [d_week_seq#32], [d_week_seq#32]

(21) ColumnarToRow [codegen id : 3]
Input [1]: [d_week_seq#32]

(22) BroadcastExchange
Input [1]: [d_week_seq#32]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]

(23) BroadcastHashJoin [codegen id : 8]
Left keys [1]: [d_week_seq#5]
Right keys [1]: [d_week_seq#32]
Join type: Inner
Join condition: None

(24) Project [codegen id : 8]
Output [10]: [s_store_name#30 AS s_store_name1#33, d_week_seq#5 AS d_week_seq1#34, s_store_id#29 AS s_store_id1#35, sun_sales#21 AS sun_sales1#36, mon_sales#22 AS mon_sales1#37, tue_sales#23 AS tue_sales1#38, wed_sales#24 AS wed_sales1#39, thu_sales#25 AS thu_sales1#40, fri_sales#26 AS fri_sales1#41, sat_sales#27 AS sat_sales1#42]
Input [11]: [d_week_seq#5, sun_sales#21, mon_sales#22, tue_sales#23, wed_sales#24, thu_sales#25, fri_sales#26, sat_sales#27, s_store_id#29, s_store_name#30, d_week_seq#32]

(25) ReusedExchange [Reuses operator id: 10]
Output [9]: [d_week_seq#5, ss_store_sk#1, sum#43, sum#44, sum#45, sum#46, sum#47, sum#48, sum#49]

(26) HashAggregate [codegen id : 7]
Input [9]: [d_week_seq#5, ss_store_sk#1, sum#43, sum#44, sum#45, sum#46, sum#47, sum#48, sum#49]
Keys [2]: [d_week_seq#5, ss_store_sk#1]
Functions [7]: [sum(UnscaledValue(CASE WHEN (d_day_name#6 = Sunday   ) THEN ss_sales_price#2 END)), sum(UnscaledValue(CASE WHEN (d_day_name#6 = Monday   ) THEN ss_sales_price#2 END)), sum(UnscaledValue(CASE WHEN (d_day_name#6 = Tuesday  ) THEN ss_sales_price#2 END)), sum(UnscaledValue(CASE WHEN (d_day_name#6 = Wednesday) THEN ss_sales_price#2 END)), sum(UnscaledValue(CASE WHEN (d_day_name#6 = Thursday ) THEN ss_sales_price#2 END)), sum(UnscaledValue(CASE WHEN (d_day_name#6 = Friday   ) THEN ss_sales_price#2 END)), sum(UnscaledValue(CASE WHEN (d_day_name#6 = Saturday ) THEN ss_sales_price#2 END))]
Aggregate Attributes [7]: [sum(UnscaledValue(CASE WHEN (d_day_name#6 = Sunday   ) THEN ss_sales_price#2 END))#14, sum(UnscaledValue(CASE WHEN (d_day_name#6 = Monday   ) THEN ss_sales_price#2 END))#15, sum(UnscaledValue(CASE WHEN (d_day_name#6 = Tuesday  ) THEN ss_sales_price#2 END))#16, sum(UnscaledValue(CASE WHEN (d_day_name#6 = Wednesday) THEN ss_sales_price#2 END))#17, sum(UnscaledValue(CASE WHEN (d_day_name#6 = Thursday ) THEN ss_sales_price#2 END))#18, sum(UnscaledValue(CASE WHEN (d_day_name#6 = Friday   ) THEN ss_sales_price#2 END))#19, sum(UnscaledValue(CASE WHEN (d_day_name#6 = Saturday ) THEN ss_sales_price#2 END))#20]
Results [9]: [d_week_seq#5, ss_store_sk#1, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#6 = Sunday   ) THEN ss_sales_price#2 END))#14,17,2) AS sun_sales#21, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#6 = Monday   ) THEN ss_sales_price#2 END))#15,17,2) AS mon_sales#22, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#6 = Tuesday  ) THEN ss_sales_price#2 END))#16,17,2) AS tue_sales#23, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#6 = Wednesday) THEN ss_sales_price#2 END))#17,17,2) AS wed_sales#24, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#6 = Thursday ) THEN ss_sales_price#2 END))#18,17,2) AS thu_sales#25, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#6 = Friday   ) THEN ss_sales_price#2 END))#19,17,2) AS fri_sales#26, MakeDecimal(sum(UnscaledValue(CASE WHEN (d_day_name#6 = Saturday ) THEN ss_sales_price#2 END))#20,17,2) AS sat_sales#27]

(27) Scan parquet spark_catalog.default.store
Output [2]: [s_store_sk#50, s_store_id#51]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk), IsNotNull(s_store_id)]
ReadSchema: struct<s_store_sk:int,s_store_id:string>

(28) CometFilter
Input [2]: [s_store_sk#50, s_store_id#51]
Condition : (isnotnull(s_store_sk#50) AND isnotnull(s_store_id#51))

(29) ColumnarToRow [codegen id : 5]
Input [2]: [s_store_sk#50, s_store_id#51]

(30) BroadcastExchange
Input [2]: [s_store_sk#50, s_store_id#51]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=4]

(31) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [ss_store_sk#1]
Right keys [1]: [s_store_sk#50]
Join type: Inner
Join condition: None

(32) Project [codegen id : 7]
Output [9]: [d_week_seq#5, sun_sales#21, mon_sales#22, tue_sales#23, wed_sales#24, thu_sales#25, fri_sales#26, sat_sales#27, s_store_id#51]
Input [11]: [d_week_seq#5, ss_store_sk#1, sun_sales#21, mon_sales#22, tue_sales#23, wed_sales#24, thu_sales#25, fri_sales#26, sat_sales#27, s_store_sk#50, s_store_id#51]

(33) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_month_seq#52, d_week_seq#53]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1224), LessThanOrEqual(d_month_seq,1235), IsNotNull(d_week_seq)]
ReadSchema: struct<d_month_seq:int,d_week_seq:int>

(34) CometFilter
Input [2]: [d_month_seq#52, d_week_seq#53]
Condition : (((isnotnull(d_month_seq#52) AND (d_month_seq#52 >= 1224)) AND (d_month_seq#52 <= 1235)) AND isnotnull(d_week_seq#53))

(35) CometProject
Input [2]: [d_month_seq#52, d_week_seq#53]
Arguments: [d_week_seq#53], [d_week_seq#53]

(36) ColumnarToRow [codegen id : 6]
Input [1]: [d_week_seq#53]

(37) BroadcastExchange
Input [1]: [d_week_seq#53]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5]

(38) BroadcastHashJoin [codegen id : 7]
Left keys [1]: [d_week_seq#5]
Right keys [1]: [d_week_seq#53]
Join type: Inner
Join condition: None

(39) Project [codegen id : 7]
Output [9]: [d_week_seq#5 AS d_week_seq2#54, s_store_id#51 AS s_store_id2#55, sun_sales#21 AS sun_sales2#56, mon_sales#22 AS mon_sales2#57, tue_sales#23 AS tue_sales2#58, wed_sales#24 AS wed_sales2#59, thu_sales#25 AS thu_sales2#60, fri_sales#26 AS fri_sales2#61, sat_sales#27 AS sat_sales2#62]
Input [10]: [d_week_seq#5, sun_sales#21, mon_sales#22, tue_sales#23, wed_sales#24, thu_sales#25, fri_sales#26, sat_sales#27, s_store_id#51, d_week_seq#53]

(40) BroadcastExchange
Input [9]: [d_week_seq2#54, s_store_id2#55, sun_sales2#56, mon_sales2#57, tue_sales2#58, wed_sales2#59, thu_sales2#60, fri_sales2#61, sat_sales2#62]
Arguments: HashedRelationBroadcastMode(List(input[1, string, true], (input[0, int, true] - 52)),false), [plan_id=6]

(41) BroadcastHashJoin [codegen id : 8]
Left keys [2]: [s_store_id1#35, d_week_seq1#34]
Right keys [2]: [s_store_id2#55, (d_week_seq2#54 - 52)]
Join type: Inner
Join condition: None

(42) Project [codegen id : 8]
Output [10]: [s_store_name1#33, s_store_id1#35, d_week_seq1#34, (sun_sales1#36 / sun_sales2#56) AS (sun_sales1 / sun_sales2)#63, (mon_sales1#37 / mon_sales2#57) AS (mon_sales1 / mon_sales2)#64, (tue_sales1#38 / tue_sales2#58) AS (tue_sales1 / tue_sales2)#65, (wed_sales1#39 / wed_sales2#59) AS (wed_sales1 / wed_sales2)#66, (thu_sales1#40 / thu_sales2#60) AS (thu_sales1 / thu_sales2)#67, (fri_sales1#41 / fri_sales2#61) AS (fri_sales1 / fri_sales2)#68, (sat_sales1#42 / sat_sales2#62) AS (sat_sales1 / sat_sales2)#69]
Input [19]: [s_store_name1#33, d_week_seq1#34, s_store_id1#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#54, s_store_id2#55, sun_sales2#56, mon_sales2#57, tue_sales2#58, wed_sales2#59, thu_sales2#60, fri_sales2#61, sat_sales2#62]

(43) TakeOrderedAndProject
Input [10]: [s_store_name1#33, s_store_id1#35, d_week_seq1#34, (sun_sales1 / sun_sales2)#63, (mon_sales1 / mon_sales2)#64, (tue_sales1 / tue_sales2)#65, (wed_sales1 / wed_sales2)#66, (thu_sales1 / thu_sales2)#67, (fri_sales1 / fri_sales2)#68, (sat_sales1 / sat_sales2)#69]
Arguments: 100, [s_store_name1#33 ASC NULLS FIRST, s_store_id1#35 ASC NULLS FIRST, d_week_seq1#34 ASC NULLS FIRST], [s_store_name1#33, s_store_id1#35, d_week_seq1#34, (sun_sales1 / sun_sales2)#63, (mon_sales1 / mon_sales2)#64, (tue_sales1 / tue_sales2)#65, (wed_sales1 / wed_sales2)#66, (thu_sales1 / thu_sales2)#67, (fri_sales1 / fri_sales2)#68, (sat_sales1 / sat_sales2)#69]

