== Physical Plan ==
TakeOrderedAndProject (50)
+- * HashAggregate (49)
   +- Union (48)
      :- * HashAggregate (29)
      :  +- Exchange (28)
      :     +- * HashAggregate (27)
      :        +- * Project (26)
      :           +- * BroadcastHashJoin Inner BuildRight (25)
      :              :- * Project (19)
      :              :  +- * BroadcastHashJoin Inner BuildRight (18)
      :              :     :- * Project (12)
      :              :     :  +- * BroadcastHashJoin Inner BuildRight (11)
      :              :     :     :- * Project (9)
      :              :     :     :  +- * BroadcastHashJoin Inner BuildRight (8)
      :              :     :     :     :- * Filter (3)
      :              :     :     :     :  +- * ColumnarToRow (2)
      :              :     :     :     :     +- Scan parquet spark_catalog.default.web_sales (1)
      :              :     :     :     +- BroadcastExchange (7)
      :              :     :     :        +- * Filter (6)
      :              :     :     :           +- * ColumnarToRow (5)
      :              :     :     :              +- Scan parquet spark_catalog.default.warehouse (4)
      :              :     :     +- ReusedExchange (10)
      :              :     +- BroadcastExchange (17)
      :              :        +- * Project (16)
      :              :           +- * Filter (15)
      :              :              +- * ColumnarToRow (14)
      :              :                 +- Scan parquet spark_catalog.default.time_dim (13)
      :              +- BroadcastExchange (24)
      :                 +- * Project (23)
      :                    +- * Filter (22)
      :                       +- * ColumnarToRow (21)
      :                          +- Scan parquet spark_catalog.default.ship_mode (20)
      +- * HashAggregate (47)
         +- Exchange (46)
            +- * HashAggregate (45)
               +- * Project (44)
                  +- * BroadcastHashJoin Inner BuildRight (43)
                     :- * Project (41)
                     :  +- * BroadcastHashJoin Inner BuildRight (40)
                     :     :- * Project (38)
                     :     :  +- * BroadcastHashJoin Inner BuildRight (37)
                     :     :     :- * Project (35)
                     :     :     :  +- * BroadcastHashJoin Inner BuildRight (34)
                     :     :     :     :- * Filter (32)
                     :     :     :     :  +- * ColumnarToRow (31)
                     :     :     :     :     +- Scan parquet spark_catalog.default.catalog_sales (30)
                     :     :     :     +- ReusedExchange (33)
                     :     :     +- ReusedExchange (36)
                     :     +- ReusedExchange (39)
                     +- ReusedExchange (42)


(1) Scan parquet spark_catalog.default.web_sales
Output [7]: [ws_sold_time_sk#1, ws_ship_mode_sk#2, ws_warehouse_sk#3, ws_quantity#4, ws_ext_sales_price#5, ws_net_paid#6, ws_sold_date_sk#7]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#7), dynamicpruningexpression(ws_sold_date_sk#7 IN dynamicpruning#8)]
PushedFilters: [IsNotNull(ws_warehouse_sk), IsNotNull(ws_sold_time_sk), IsNotNull(ws_ship_mode_sk)]
ReadSchema: struct<ws_sold_time_sk:int,ws_ship_mode_sk:int,ws_warehouse_sk:int,ws_quantity:int,ws_ext_sales_price:decimal(7,2),ws_net_paid:decimal(7,2)>

(2) ColumnarToRow [codegen id : 5]
Input [7]: [ws_sold_time_sk#1, ws_ship_mode_sk#2, ws_warehouse_sk#3, ws_quantity#4, ws_ext_sales_price#5, ws_net_paid#6, ws_sold_date_sk#7]

(3) Filter [codegen id : 5]
Input [7]: [ws_sold_time_sk#1, ws_ship_mode_sk#2, ws_warehouse_sk#3, ws_quantity#4, ws_ext_sales_price#5, ws_net_paid#6, ws_sold_date_sk#7]
Condition : ((isnotnull(ws_warehouse_sk#3) AND isnotnull(ws_sold_time_sk#1)) AND isnotnull(ws_ship_mode_sk#2))

(4) Scan parquet spark_catalog.default.warehouse
Output [7]: [w_warehouse_sk#9, w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15]
Batched: true
Location [not included in comparison]/{warehouse_dir}/warehouse]
PushedFilters: [IsNotNull(w_warehouse_sk)]
ReadSchema: struct<w_warehouse_sk:int,w_warehouse_name:string,w_warehouse_sq_ft:int,w_city:string,w_county:string,w_state:string,w_country:string>

(5) ColumnarToRow [codegen id : 1]
Input [7]: [w_warehouse_sk#9, w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15]

(6) Filter [codegen id : 1]
Input [7]: [w_warehouse_sk#9, w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15]
Condition : isnotnull(w_warehouse_sk#9)

(7) BroadcastExchange
Input [7]: [w_warehouse_sk#9, w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=1]

(8) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [ws_warehouse_sk#3]
Right keys [1]: [w_warehouse_sk#9]
Join type: Inner
Join condition: None

(9) Project [codegen id : 5]
Output [12]: [ws_sold_time_sk#1, ws_ship_mode_sk#2, ws_quantity#4, ws_ext_sales_price#5, ws_net_paid#6, ws_sold_date_sk#7, w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15]
Input [14]: [ws_sold_time_sk#1, ws_ship_mode_sk#2, ws_warehouse_sk#3, ws_quantity#4, ws_ext_sales_price#5, ws_net_paid#6, ws_sold_date_sk#7, w_warehouse_sk#9, w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15]

(10) ReusedExchange [Reuses operator id: 54]
Output [3]: [d_date_sk#16, d_year#17, d_moy#18]

(11) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [ws_sold_date_sk#7]
Right keys [1]: [d_date_sk#16]
Join type: Inner
Join condition: None

(12) Project [codegen id : 5]
Output [13]: [ws_sold_time_sk#1, ws_ship_mode_sk#2, ws_quantity#4, ws_ext_sales_price#5, ws_net_paid#6, w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15, d_year#17, d_moy#18]
Input [15]: [ws_sold_time_sk#1, ws_ship_mode_sk#2, ws_quantity#4, ws_ext_sales_price#5, ws_net_paid#6, ws_sold_date_sk#7, w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15, d_date_sk#16, d_year#17, d_moy#18]

(13) Scan parquet spark_catalog.default.time_dim
Output [2]: [t_time_sk#19, t_time#20]
Batched: true
Location [not included in comparison]/{warehouse_dir}/time_dim]
PushedFilters: [IsNotNull(t_time), GreaterThanOrEqual(t_time,30838), LessThanOrEqual(t_time,59638), IsNotNull(t_time_sk)]
ReadSchema: struct<t_time_sk:int,t_time:int>

(14) ColumnarToRow [codegen id : 3]
Input [2]: [t_time_sk#19, t_time#20]

(15) Filter [codegen id : 3]
Input [2]: [t_time_sk#19, t_time#20]
Condition : (((isnotnull(t_time#20) AND (t_time#20 >= 30838)) AND (t_time#20 <= 59638)) AND isnotnull(t_time_sk#19))

(16) Project [codegen id : 3]
Output [1]: [t_time_sk#19]
Input [2]: [t_time_sk#19, t_time#20]

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

(18) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [ws_sold_time_sk#1]
Right keys [1]: [t_time_sk#19]
Join type: Inner
Join condition: None

(19) Project [codegen id : 5]
Output [12]: [ws_ship_mode_sk#2, ws_quantity#4, ws_ext_sales_price#5, ws_net_paid#6, w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15, d_year#17, d_moy#18]
Input [14]: [ws_sold_time_sk#1, ws_ship_mode_sk#2, ws_quantity#4, ws_ext_sales_price#5, ws_net_paid#6, w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15, d_year#17, d_moy#18, t_time_sk#19]

(20) Scan parquet spark_catalog.default.ship_mode
Output [2]: [sm_ship_mode_sk#21, sm_carrier#22]
Batched: true
Location [not included in comparison]/{warehouse_dir}/ship_mode]
PushedFilters: [In(sm_carrier, [BARIAN              ,DHL                 ]), IsNotNull(sm_ship_mode_sk)]
ReadSchema: struct<sm_ship_mode_sk:int,sm_carrier:string>

(21) ColumnarToRow [codegen id : 4]
Input [2]: [sm_ship_mode_sk#21, sm_carrier#22]

(22) Filter [codegen id : 4]
Input [2]: [sm_ship_mode_sk#21, sm_carrier#22]
Condition : (sm_carrier#22 IN (DHL                 ,BARIAN              ) AND isnotnull(sm_ship_mode_sk#21))

(23) Project [codegen id : 4]
Output [1]: [sm_ship_mode_sk#21]
Input [2]: [sm_ship_mode_sk#21, sm_carrier#22]

(24) BroadcastExchange
Input [1]: [sm_ship_mode_sk#21]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3]

(25) BroadcastHashJoin [codegen id : 5]
Left keys [1]: [ws_ship_mode_sk#2]
Right keys [1]: [sm_ship_mode_sk#21]
Join type: Inner
Join condition: None

(26) Project [codegen id : 5]
Output [11]: [ws_quantity#4, ws_ext_sales_price#5, ws_net_paid#6, w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15, d_year#17, d_moy#18]
Input [13]: [ws_ship_mode_sk#2, ws_quantity#4, ws_ext_sales_price#5, ws_net_paid#6, w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15, d_year#17, d_moy#18, sm_ship_mode_sk#21]

(27) HashAggregate [codegen id : 5]
Input [11]: [ws_quantity#4, ws_ext_sales_price#5, ws_net_paid#6, w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15, d_year#17, d_moy#18]
Keys [7]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15, d_year#17]
Functions [24]: [partial_sum(CASE WHEN (d_moy#18 = 1) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 2) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 3) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 4) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 5) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 6) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 7) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 8) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 9) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 10) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 11) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 12) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 1) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 2) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 3) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 4) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 5) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 6) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 7) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 8) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 9) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 10) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 11) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#18 = 12) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)]
Aggregate Attributes [48]: [sum#23, isEmpty#24, sum#25, isEmpty#26, sum#27, isEmpty#28, sum#29, isEmpty#30, sum#31, isEmpty#32, sum#33, isEmpty#34, sum#35, isEmpty#36, sum#37, isEmpty#38, sum#39, isEmpty#40, sum#41, isEmpty#42, sum#43, isEmpty#44, sum#45, isEmpty#46, sum#47, isEmpty#48, sum#49, isEmpty#50, sum#51, isEmpty#52, sum#53, isEmpty#54, sum#55, isEmpty#56, sum#57, isEmpty#58, sum#59, isEmpty#60, sum#61, isEmpty#62, sum#63, isEmpty#64, sum#65, isEmpty#66, sum#67, isEmpty#68, sum#69, isEmpty#70]
Results [55]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15, d_year#17, sum#71, isEmpty#72, sum#73, isEmpty#74, sum#75, isEmpty#76, sum#77, isEmpty#78, sum#79, isEmpty#80, sum#81, isEmpty#82, sum#83, isEmpty#84, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96, sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108, sum#109, isEmpty#110, sum#111, isEmpty#112, sum#113, isEmpty#114, sum#115, isEmpty#116, sum#117, isEmpty#118]

(28) Exchange
Input [55]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15, d_year#17, sum#71, isEmpty#72, sum#73, isEmpty#74, sum#75, isEmpty#76, sum#77, isEmpty#78, sum#79, isEmpty#80, sum#81, isEmpty#82, sum#83, isEmpty#84, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96, sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108, sum#109, isEmpty#110, sum#111, isEmpty#112, sum#113, isEmpty#114, sum#115, isEmpty#116, sum#117, isEmpty#118]
Arguments: hashpartitioning(w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15, d_year#17, 5), ENSURE_REQUIREMENTS, [plan_id=4]

(29) HashAggregate [codegen id : 6]
Input [55]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15, d_year#17, sum#71, isEmpty#72, sum#73, isEmpty#74, sum#75, isEmpty#76, sum#77, isEmpty#78, sum#79, isEmpty#80, sum#81, isEmpty#82, sum#83, isEmpty#84, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96, sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108, sum#109, isEmpty#110, sum#111, isEmpty#112, sum#113, isEmpty#114, sum#115, isEmpty#116, sum#117, isEmpty#118]
Keys [7]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15, d_year#17]
Functions [24]: [sum(CASE WHEN (d_moy#18 = 1) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 2) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 3) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 4) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 5) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 6) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 7) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 8) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 9) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 10) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 11) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 12) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 1) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 2) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 3) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 4) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 5) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 6) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 7) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 8) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 9) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 10) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 11) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#18 = 12) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)]
Aggregate Attributes [24]: [sum(CASE WHEN (d_moy#18 = 1) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#119, sum(CASE WHEN (d_moy#18 = 2) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#120, sum(CASE WHEN (d_moy#18 = 3) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#121, sum(CASE WHEN (d_moy#18 = 4) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#122, sum(CASE WHEN (d_moy#18 = 5) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#123, sum(CASE WHEN (d_moy#18 = 6) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#124, sum(CASE WHEN (d_moy#18 = 7) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#125, sum(CASE WHEN (d_moy#18 = 8) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#126, sum(CASE WHEN (d_moy#18 = 9) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#127, sum(CASE WHEN (d_moy#18 = 10) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#128, sum(CASE WHEN (d_moy#18 = 11) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#129, sum(CASE WHEN (d_moy#18 = 12) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#130, sum(CASE WHEN (d_moy#18 = 1) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#131, sum(CASE WHEN (d_moy#18 = 2) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#132, sum(CASE WHEN (d_moy#18 = 3) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#133, sum(CASE WHEN (d_moy#18 = 4) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#134, sum(CASE WHEN (d_moy#18 = 5) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#135, sum(CASE WHEN (d_moy#18 = 6) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#136, sum(CASE WHEN (d_moy#18 = 7) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#137, sum(CASE WHEN (d_moy#18 = 8) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#138, sum(CASE WHEN (d_moy#18 = 9) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#139, sum(CASE WHEN (d_moy#18 = 10) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#140, sum(CASE WHEN (d_moy#18 = 11) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#141, sum(CASE WHEN (d_moy#18 = 12) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#142]
Results [32]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15, DHL,BARIAN AS ship_carriers#143, d_year#17 AS year#144, sum(CASE WHEN (d_moy#18 = 1) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#119 AS jan_sales#145, sum(CASE WHEN (d_moy#18 = 2) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#120 AS feb_sales#146, sum(CASE WHEN (d_moy#18 = 3) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#121 AS mar_sales#147, sum(CASE WHEN (d_moy#18 = 4) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#122 AS apr_sales#148, sum(CASE WHEN (d_moy#18 = 5) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#123 AS may_sales#149, sum(CASE WHEN (d_moy#18 = 6) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#124 AS jun_sales#150, sum(CASE WHEN (d_moy#18 = 7) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#125 AS jul_sales#151, sum(CASE WHEN (d_moy#18 = 8) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#126 AS aug_sales#152, sum(CASE WHEN (d_moy#18 = 9) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#127 AS sep_sales#153, sum(CASE WHEN (d_moy#18 = 10) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#128 AS oct_sales#154, sum(CASE WHEN (d_moy#18 = 11) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#129 AS nov_sales#155, sum(CASE WHEN (d_moy#18 = 12) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#130 AS dec_sales#156, sum(CASE WHEN (d_moy#18 = 1) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#131 AS jan_net#157, sum(CASE WHEN (d_moy#18 = 2) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#132 AS feb_net#158, sum(CASE WHEN (d_moy#18 = 3) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#133 AS mar_net#159, sum(CASE WHEN (d_moy#18 = 4) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#134 AS apr_net#160, sum(CASE WHEN (d_moy#18 = 5) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#135 AS may_net#161, sum(CASE WHEN (d_moy#18 = 6) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#136 AS jun_net#162, sum(CASE WHEN (d_moy#18 = 7) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#137 AS jul_net#163, sum(CASE WHEN (d_moy#18 = 8) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#138 AS aug_net#164, sum(CASE WHEN (d_moy#18 = 9) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#139 AS sep_net#165, sum(CASE WHEN (d_moy#18 = 10) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#140 AS oct_net#166, sum(CASE WHEN (d_moy#18 = 11) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#141 AS nov_net#167, sum(CASE WHEN (d_moy#18 = 12) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#142 AS dec_net#168]

(30) Scan parquet spark_catalog.default.catalog_sales
Output [7]: [cs_sold_time_sk#169, cs_ship_mode_sk#170, cs_warehouse_sk#171, cs_quantity#172, cs_sales_price#173, cs_net_paid_inc_tax#174, cs_sold_date_sk#175]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#175), dynamicpruningexpression(cs_sold_date_sk#175 IN dynamicpruning#8)]
PushedFilters: [IsNotNull(cs_warehouse_sk), IsNotNull(cs_sold_time_sk), IsNotNull(cs_ship_mode_sk)]
ReadSchema: struct<cs_sold_time_sk:int,cs_ship_mode_sk:int,cs_warehouse_sk:int,cs_quantity:int,cs_sales_price:decimal(7,2),cs_net_paid_inc_tax:decimal(7,2)>

(31) ColumnarToRow [codegen id : 11]
Input [7]: [cs_sold_time_sk#169, cs_ship_mode_sk#170, cs_warehouse_sk#171, cs_quantity#172, cs_sales_price#173, cs_net_paid_inc_tax#174, cs_sold_date_sk#175]

(32) Filter [codegen id : 11]
Input [7]: [cs_sold_time_sk#169, cs_ship_mode_sk#170, cs_warehouse_sk#171, cs_quantity#172, cs_sales_price#173, cs_net_paid_inc_tax#174, cs_sold_date_sk#175]
Condition : ((isnotnull(cs_warehouse_sk#171) AND isnotnull(cs_sold_time_sk#169)) AND isnotnull(cs_ship_mode_sk#170))

(33) ReusedExchange [Reuses operator id: 7]
Output [7]: [w_warehouse_sk#176, w_warehouse_name#177, w_warehouse_sq_ft#178, w_city#179, w_county#180, w_state#181, w_country#182]

(34) BroadcastHashJoin [codegen id : 11]
Left keys [1]: [cs_warehouse_sk#171]
Right keys [1]: [w_warehouse_sk#176]
Join type: Inner
Join condition: None

(35) Project [codegen id : 11]
Output [12]: [cs_sold_time_sk#169, cs_ship_mode_sk#170, cs_quantity#172, cs_sales_price#173, cs_net_paid_inc_tax#174, cs_sold_date_sk#175, w_warehouse_name#177, w_warehouse_sq_ft#178, w_city#179, w_county#180, w_state#181, w_country#182]
Input [14]: [cs_sold_time_sk#169, cs_ship_mode_sk#170, cs_warehouse_sk#171, cs_quantity#172, cs_sales_price#173, cs_net_paid_inc_tax#174, cs_sold_date_sk#175, w_warehouse_sk#176, w_warehouse_name#177, w_warehouse_sq_ft#178, w_city#179, w_county#180, w_state#181, w_country#182]

(36) ReusedExchange [Reuses operator id: 54]
Output [3]: [d_date_sk#183, d_year#184, d_moy#185]

(37) BroadcastHashJoin [codegen id : 11]
Left keys [1]: [cs_sold_date_sk#175]
Right keys [1]: [d_date_sk#183]
Join type: Inner
Join condition: None

(38) Project [codegen id : 11]
Output [13]: [cs_sold_time_sk#169, cs_ship_mode_sk#170, cs_quantity#172, cs_sales_price#173, cs_net_paid_inc_tax#174, w_warehouse_name#177, w_warehouse_sq_ft#178, w_city#179, w_county#180, w_state#181, w_country#182, d_year#184, d_moy#185]
Input [15]: [cs_sold_time_sk#169, cs_ship_mode_sk#170, cs_quantity#172, cs_sales_price#173, cs_net_paid_inc_tax#174, cs_sold_date_sk#175, w_warehouse_name#177, w_warehouse_sq_ft#178, w_city#179, w_county#180, w_state#181, w_country#182, d_date_sk#183, d_year#184, d_moy#185]

(39) ReusedExchange [Reuses operator id: 17]
Output [1]: [t_time_sk#186]

(40) BroadcastHashJoin [codegen id : 11]
Left keys [1]: [cs_sold_time_sk#169]
Right keys [1]: [t_time_sk#186]
Join type: Inner
Join condition: None

(41) Project [codegen id : 11]
Output [12]: [cs_ship_mode_sk#170, cs_quantity#172, cs_sales_price#173, cs_net_paid_inc_tax#174, w_warehouse_name#177, w_warehouse_sq_ft#178, w_city#179, w_county#180, w_state#181, w_country#182, d_year#184, d_moy#185]
Input [14]: [cs_sold_time_sk#169, cs_ship_mode_sk#170, cs_quantity#172, cs_sales_price#173, cs_net_paid_inc_tax#174, w_warehouse_name#177, w_warehouse_sq_ft#178, w_city#179, w_county#180, w_state#181, w_country#182, d_year#184, d_moy#185, t_time_sk#186]

(42) ReusedExchange [Reuses operator id: 24]
Output [1]: [sm_ship_mode_sk#187]

(43) BroadcastHashJoin [codegen id : 11]
Left keys [1]: [cs_ship_mode_sk#170]
Right keys [1]: [sm_ship_mode_sk#187]
Join type: Inner
Join condition: None

(44) Project [codegen id : 11]
Output [11]: [cs_quantity#172, cs_sales_price#173, cs_net_paid_inc_tax#174, w_warehouse_name#177, w_warehouse_sq_ft#178, w_city#179, w_county#180, w_state#181, w_country#182, d_year#184, d_moy#185]
Input [13]: [cs_ship_mode_sk#170, cs_quantity#172, cs_sales_price#173, cs_net_paid_inc_tax#174, w_warehouse_name#177, w_warehouse_sq_ft#178, w_city#179, w_county#180, w_state#181, w_country#182, d_year#184, d_moy#185, sm_ship_mode_sk#187]

(45) HashAggregate [codegen id : 11]
Input [11]: [cs_quantity#172, cs_sales_price#173, cs_net_paid_inc_tax#174, w_warehouse_name#177, w_warehouse_sq_ft#178, w_city#179, w_county#180, w_state#181, w_country#182, d_year#184, d_moy#185]
Keys [7]: [w_warehouse_name#177, w_warehouse_sq_ft#178, w_city#179, w_county#180, w_state#181, w_country#182, d_year#184]
Functions [24]: [partial_sum(CASE WHEN (d_moy#185 = 1) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 2) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 3) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 4) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 5) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 6) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 7) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 8) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 9) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 10) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 11) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 12) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 1) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 2) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 3) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 4) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 5) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 6) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 7) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 8) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 9) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 10) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 11) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#185 = 12) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)]
Aggregate Attributes [48]: [sum#188, isEmpty#189, sum#190, isEmpty#191, sum#192, isEmpty#193, sum#194, isEmpty#195, sum#196, isEmpty#197, sum#198, isEmpty#199, sum#200, isEmpty#201, sum#202, isEmpty#203, sum#204, isEmpty#205, sum#206, isEmpty#207, sum#208, isEmpty#209, sum#210, isEmpty#211, sum#212, isEmpty#213, sum#214, isEmpty#215, sum#216, isEmpty#217, sum#218, isEmpty#219, sum#220, isEmpty#221, sum#222, isEmpty#223, sum#224, isEmpty#225, sum#226, isEmpty#227, sum#228, isEmpty#229, sum#230, isEmpty#231, sum#232, isEmpty#233, sum#234, isEmpty#235]
Results [55]: [w_warehouse_name#177, w_warehouse_sq_ft#178, w_city#179, w_county#180, w_state#181, w_country#182, d_year#184, sum#236, isEmpty#237, sum#238, isEmpty#239, sum#240, isEmpty#241, sum#242, isEmpty#243, sum#244, isEmpty#245, sum#246, isEmpty#247, sum#248, isEmpty#249, sum#250, isEmpty#251, sum#252, isEmpty#253, sum#254, isEmpty#255, sum#256, isEmpty#257, sum#258, isEmpty#259, sum#260, isEmpty#261, sum#262, isEmpty#263, sum#264, isEmpty#265, sum#266, isEmpty#267, sum#268, isEmpty#269, sum#270, isEmpty#271, sum#272, isEmpty#273, sum#274, isEmpty#275, sum#276, isEmpty#277, sum#278, isEmpty#279, sum#280, isEmpty#281, sum#282, isEmpty#283]

(46) Exchange
Input [55]: [w_warehouse_name#177, w_warehouse_sq_ft#178, w_city#179, w_county#180, w_state#181, w_country#182, d_year#184, sum#236, isEmpty#237, sum#238, isEmpty#239, sum#240, isEmpty#241, sum#242, isEmpty#243, sum#244, isEmpty#245, sum#246, isEmpty#247, sum#248, isEmpty#249, sum#250, isEmpty#251, sum#252, isEmpty#253, sum#254, isEmpty#255, sum#256, isEmpty#257, sum#258, isEmpty#259, sum#260, isEmpty#261, sum#262, isEmpty#263, sum#264, isEmpty#265, sum#266, isEmpty#267, sum#268, isEmpty#269, sum#270, isEmpty#271, sum#272, isEmpty#273, sum#274, isEmpty#275, sum#276, isEmpty#277, sum#278, isEmpty#279, sum#280, isEmpty#281, sum#282, isEmpty#283]
Arguments: hashpartitioning(w_warehouse_name#177, w_warehouse_sq_ft#178, w_city#179, w_county#180, w_state#181, w_country#182, d_year#184, 5), ENSURE_REQUIREMENTS, [plan_id=5]

(47) HashAggregate [codegen id : 12]
Input [55]: [w_warehouse_name#177, w_warehouse_sq_ft#178, w_city#179, w_county#180, w_state#181, w_country#182, d_year#184, sum#236, isEmpty#237, sum#238, isEmpty#239, sum#240, isEmpty#241, sum#242, isEmpty#243, sum#244, isEmpty#245, sum#246, isEmpty#247, sum#248, isEmpty#249, sum#250, isEmpty#251, sum#252, isEmpty#253, sum#254, isEmpty#255, sum#256, isEmpty#257, sum#258, isEmpty#259, sum#260, isEmpty#261, sum#262, isEmpty#263, sum#264, isEmpty#265, sum#266, isEmpty#267, sum#268, isEmpty#269, sum#270, isEmpty#271, sum#272, isEmpty#273, sum#274, isEmpty#275, sum#276, isEmpty#277, sum#278, isEmpty#279, sum#280, isEmpty#281, sum#282, isEmpty#283]
Keys [7]: [w_warehouse_name#177, w_warehouse_sq_ft#178, w_city#179, w_county#180, w_state#181, w_country#182, d_year#184]
Functions [24]: [sum(CASE WHEN (d_moy#185 = 1) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 2) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 3) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 4) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 5) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 6) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 7) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 8) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 9) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 10) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 11) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 12) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 1) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 2) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 3) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 4) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 5) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 6) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 7) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 8) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 9) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 10) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 11) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#185 = 12) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)]
Aggregate Attributes [24]: [sum(CASE WHEN (d_moy#185 = 1) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#284, sum(CASE WHEN (d_moy#185 = 2) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#285, sum(CASE WHEN (d_moy#185 = 3) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#286, sum(CASE WHEN (d_moy#185 = 4) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#287, sum(CASE WHEN (d_moy#185 = 5) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#288, sum(CASE WHEN (d_moy#185 = 6) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#289, sum(CASE WHEN (d_moy#185 = 7) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#290, sum(CASE WHEN (d_moy#185 = 8) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#291, sum(CASE WHEN (d_moy#185 = 9) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#292, sum(CASE WHEN (d_moy#185 = 10) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#293, sum(CASE WHEN (d_moy#185 = 11) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#294, sum(CASE WHEN (d_moy#185 = 12) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#295, sum(CASE WHEN (d_moy#185 = 1) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#296, sum(CASE WHEN (d_moy#185 = 2) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#297, sum(CASE WHEN (d_moy#185 = 3) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#298, sum(CASE WHEN (d_moy#185 = 4) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#299, sum(CASE WHEN (d_moy#185 = 5) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#300, sum(CASE WHEN (d_moy#185 = 6) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#301, sum(CASE WHEN (d_moy#185 = 7) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#302, sum(CASE WHEN (d_moy#185 = 8) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#303, sum(CASE WHEN (d_moy#185 = 9) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#304, sum(CASE WHEN (d_moy#185 = 10) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#305, sum(CASE WHEN (d_moy#185 = 11) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#306, sum(CASE WHEN (d_moy#185 = 12) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#307]
Results [32]: [w_warehouse_name#177, w_warehouse_sq_ft#178, w_city#179, w_county#180, w_state#181, w_country#182, DHL,BARIAN AS ship_carriers#308, d_year#184 AS year#309, sum(CASE WHEN (d_moy#185 = 1) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#284 AS jan_sales#310, sum(CASE WHEN (d_moy#185 = 2) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#285 AS feb_sales#311, sum(CASE WHEN (d_moy#185 = 3) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#286 AS mar_sales#312, sum(CASE WHEN (d_moy#185 = 4) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#287 AS apr_sales#313, sum(CASE WHEN (d_moy#185 = 5) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#288 AS may_sales#314, sum(CASE WHEN (d_moy#185 = 6) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#289 AS jun_sales#315, sum(CASE WHEN (d_moy#185 = 7) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#290 AS jul_sales#316, sum(CASE WHEN (d_moy#185 = 8) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#291 AS aug_sales#317, sum(CASE WHEN (d_moy#185 = 9) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#292 AS sep_sales#318, sum(CASE WHEN (d_moy#185 = 10) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#293 AS oct_sales#319, sum(CASE WHEN (d_moy#185 = 11) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#294 AS nov_sales#320, sum(CASE WHEN (d_moy#185 = 12) THEN (cs_sales_price#173 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#295 AS dec_sales#321, sum(CASE WHEN (d_moy#185 = 1) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#296 AS jan_net#322, sum(CASE WHEN (d_moy#185 = 2) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#297 AS feb_net#323, sum(CASE WHEN (d_moy#185 = 3) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#298 AS mar_net#324, sum(CASE WHEN (d_moy#185 = 4) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#299 AS apr_net#325, sum(CASE WHEN (d_moy#185 = 5) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#300 AS may_net#326, sum(CASE WHEN (d_moy#185 = 6) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#301 AS jun_net#327, sum(CASE WHEN (d_moy#185 = 7) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#302 AS jul_net#328, sum(CASE WHEN (d_moy#185 = 8) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#303 AS aug_net#329, sum(CASE WHEN (d_moy#185 = 9) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#304 AS sep_net#330, sum(CASE WHEN (d_moy#185 = 10) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#305 AS oct_net#331, sum(CASE WHEN (d_moy#185 = 11) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#306 AS nov_net#332, sum(CASE WHEN (d_moy#185 = 12) THEN (cs_net_paid_inc_tax#174 * cast(cs_quantity#172 as decimal(10,0))) ELSE 0.00 END)#307 AS dec_net#333]

(48) Union

(49) HashAggregate [codegen id : 13]
Input [32]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15, ship_carriers#143, year#144, jan_sales#145, feb_sales#146, mar_sales#147, apr_sales#148, may_sales#149, jun_sales#150, jul_sales#151, aug_sales#152, sep_sales#153, oct_sales#154, nov_sales#155, dec_sales#156, jan_net#157, feb_net#158, mar_net#159, apr_net#160, may_net#161, jun_net#162, jul_net#163, aug_net#164, sep_net#165, oct_net#166, nov_net#167, dec_net#168]
Keys [8]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15, ship_carriers#143, year#144]
Functions [36]: [sum(jan_sales#145), sum(feb_sales#146), sum(mar_sales#147), sum(apr_sales#148), sum(may_sales#149), sum(jun_sales#150), sum(jul_sales#151), sum(aug_sales#152), sum(sep_sales#153), sum(oct_sales#154), sum(nov_sales#155), sum(dec_sales#156), sum((jan_sales#145 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((feb_sales#146 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((mar_sales#147 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((apr_sales#148 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((may_sales#149 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((jun_sales#150 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((jul_sales#151 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((aug_sales#152 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((sep_sales#153 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((oct_sales#154 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((nov_sales#155 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((dec_sales#156 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum(jan_net#157), sum(feb_net#158), sum(mar_net#159), sum(apr_net#160), sum(may_net#161), sum(jun_net#162), sum(jul_net#163), sum(aug_net#164), sum(sep_net#165), sum(oct_net#166), sum(nov_net#167), sum(dec_net#168)]
Aggregate Attributes [36]: [sum(jan_sales#145)#334, sum(feb_sales#146)#335, sum(mar_sales#147)#336, sum(apr_sales#148)#337, sum(may_sales#149)#338, sum(jun_sales#150)#339, sum(jul_sales#151)#340, sum(aug_sales#152)#341, sum(sep_sales#153)#342, sum(oct_sales#154)#343, sum(nov_sales#155)#344, sum(dec_sales#156)#345, sum((jan_sales#145 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#346, sum((feb_sales#146 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#347, sum((mar_sales#147 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#348, sum((apr_sales#148 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#349, sum((may_sales#149 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#350, sum((jun_sales#150 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#351, sum((jul_sales#151 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#352, sum((aug_sales#152 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#353, sum((sep_sales#153 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#354, sum((oct_sales#154 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#355, sum((nov_sales#155 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#356, sum((dec_sales#156 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#357, sum(jan_net#157)#358, sum(feb_net#158)#359, sum(mar_net#159)#360, sum(apr_net#160)#361, sum(may_net#161)#362, sum(jun_net#162)#363, sum(jul_net#163)#364, sum(aug_net#164)#365, sum(sep_net#165)#366, sum(oct_net#166)#367, sum(nov_net#167)#368, sum(dec_net#168)#369]
Results [44]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15, ship_carriers#143, year#144, sum(jan_sales#145)#334 AS jan_sales#370, sum(feb_sales#146)#335 AS feb_sales#371, sum(mar_sales#147)#336 AS mar_sales#372, sum(apr_sales#148)#337 AS apr_sales#373, sum(may_sales#149)#338 AS may_sales#374, sum(jun_sales#150)#339 AS jun_sales#375, sum(jul_sales#151)#340 AS jul_sales#376, sum(aug_sales#152)#341 AS aug_sales#377, sum(sep_sales#153)#342 AS sep_sales#378, sum(oct_sales#154)#343 AS oct_sales#379, sum(nov_sales#155)#344 AS nov_sales#380, sum(dec_sales#156)#345 AS dec_sales#381, sum((jan_sales#145 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#346 AS jan_sales_per_sq_foot#382, sum((feb_sales#146 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#347 AS feb_sales_per_sq_foot#383, sum((mar_sales#147 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#348 AS mar_sales_per_sq_foot#384, sum((apr_sales#148 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#349 AS apr_sales_per_sq_foot#385, sum((may_sales#149 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#350 AS may_sales_per_sq_foot#386, sum((jun_sales#150 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#351 AS jun_sales_per_sq_foot#387, sum((jul_sales#151 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#352 AS jul_sales_per_sq_foot#388, sum((aug_sales#152 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#353 AS aug_sales_per_sq_foot#389, sum((sep_sales#153 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#354 AS sep_sales_per_sq_foot#390, sum((oct_sales#154 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#355 AS oct_sales_per_sq_foot#391, sum((nov_sales#155 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#356 AS nov_sales_per_sq_foot#392, sum((dec_sales#156 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#357 AS dec_sales_per_sq_foot#393, sum(jan_net#157)#358 AS jan_net#394, sum(feb_net#158)#359 AS feb_net#395, sum(mar_net#159)#360 AS mar_net#396, sum(apr_net#160)#361 AS apr_net#397, sum(may_net#161)#362 AS may_net#398, sum(jun_net#162)#363 AS jun_net#399, sum(jul_net#163)#364 AS jul_net#400, sum(aug_net#164)#365 AS aug_net#401, sum(sep_net#165)#366 AS sep_net#402, sum(oct_net#166)#367 AS oct_net#403, sum(nov_net#167)#368 AS nov_net#404, sum(dec_net#168)#369 AS dec_net#405]

(50) TakeOrderedAndProject
Input [44]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15, ship_carriers#143, year#144, jan_sales#370, feb_sales#371, mar_sales#372, apr_sales#373, may_sales#374, jun_sales#375, jul_sales#376, aug_sales#377, sep_sales#378, oct_sales#379, nov_sales#380, dec_sales#381, jan_sales_per_sq_foot#382, feb_sales_per_sq_foot#383, mar_sales_per_sq_foot#384, apr_sales_per_sq_foot#385, may_sales_per_sq_foot#386, jun_sales_per_sq_foot#387, jul_sales_per_sq_foot#388, aug_sales_per_sq_foot#389, sep_sales_per_sq_foot#390, oct_sales_per_sq_foot#391, nov_sales_per_sq_foot#392, dec_sales_per_sq_foot#393, jan_net#394, feb_net#395, mar_net#396, apr_net#397, may_net#398, jun_net#399, jul_net#400, aug_net#401, sep_net#402, oct_net#403, nov_net#404, dec_net#405]
Arguments: 100, [w_warehouse_name#10 ASC NULLS FIRST], [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#14, w_country#15, ship_carriers#143, year#144, jan_sales#370, feb_sales#371, mar_sales#372, apr_sales#373, may_sales#374, jun_sales#375, jul_sales#376, aug_sales#377, sep_sales#378, oct_sales#379, nov_sales#380, dec_sales#381, jan_sales_per_sq_foot#382, feb_sales_per_sq_foot#383, mar_sales_per_sq_foot#384, apr_sales_per_sq_foot#385, may_sales_per_sq_foot#386, jun_sales_per_sq_foot#387, jul_sales_per_sq_foot#388, aug_sales_per_sq_foot#389, sep_sales_per_sq_foot#390, oct_sales_per_sq_foot#391, nov_sales_per_sq_foot#392, dec_sales_per_sq_foot#393, jan_net#394, feb_net#395, mar_net#396, apr_net#397, may_net#398, jun_net#399, jul_net#400, aug_net#401, sep_net#402, oct_net#403, nov_net#404, dec_net#405]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#7 IN dynamicpruning#8
BroadcastExchange (54)
+- * Filter (53)
   +- * ColumnarToRow (52)
      +- Scan parquet spark_catalog.default.date_dim (51)


(51) Scan parquet spark_catalog.default.date_dim
Output [3]: [d_date_sk#16, d_year#17, d_moy#18]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_year:int,d_moy:int>

(52) ColumnarToRow [codegen id : 1]
Input [3]: [d_date_sk#16, d_year#17, d_moy#18]

(53) Filter [codegen id : 1]
Input [3]: [d_date_sk#16, d_year#17, d_moy#18]
Condition : ((isnotnull(d_year#17) AND (d_year#17 = 2001)) AND isnotnull(d_date_sk#16))

(54) BroadcastExchange
Input [3]: [d_date_sk#16, d_year#17, d_moy#18]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=6]

Subquery:2 Hosting operator id = 30 Hosting Expression = cs_sold_date_sk#175 IN dynamicpruning#8


