== Physical Plan ==
TakeOrderedAndProject (120)
+- * HashAggregate (119)
   +- Exchange (118)
      +- * HashAggregate (117)
         +- Union (116)
            :- * HashAggregate (75)
            :  +- Union (74)
            :     :- * Project (30)
            :     :  +- * BroadcastHashJoin LeftOuter BuildRight (29)
            :     :     :- * HashAggregate (15)
            :     :     :  +- Exchange (14)
            :     :     :     +- * HashAggregate (13)
            :     :     :        +- * Project (12)
            :     :     :           +- * BroadcastHashJoin Inner BuildRight (11)
            :     :     :              :- * Project (6)
            :     :     :              :  +- * BroadcastHashJoin Inner BuildRight (5)
            :     :     :              :     :- * Filter (3)
            :     :     :              :     :  +- * ColumnarToRow (2)
            :     :     :              :     :     +- Scan parquet spark_catalog.default.store_sales (1)
            :     :     :              :     +- ReusedExchange (4)
            :     :     :              +- BroadcastExchange (10)
            :     :     :                 +- * Filter (9)
            :     :     :                    +- * ColumnarToRow (8)
            :     :     :                       +- Scan parquet spark_catalog.default.store (7)
            :     :     +- BroadcastExchange (28)
            :     :        +- * HashAggregate (27)
            :     :           +- Exchange (26)
            :     :              +- * HashAggregate (25)
            :     :                 +- * Project (24)
            :     :                    +- * BroadcastHashJoin Inner BuildRight (23)
            :     :                       :- * Project (21)
            :     :                       :  +- * BroadcastHashJoin Inner BuildRight (20)
            :     :                       :     :- * Filter (18)
            :     :                       :     :  +- * ColumnarToRow (17)
            :     :                       :     :     +- Scan parquet spark_catalog.default.store_returns (16)
            :     :                       :     +- ReusedExchange (19)
            :     :                       +- ReusedExchange (22)
            :     :- * Project (43)
            :     :  +- * BroadcastNestedLoopJoin Inner BuildRight (42)
            :     :     :- * HashAggregate (38)
            :     :     :  +- Exchange (37)
            :     :     :     +- * HashAggregate (36)
            :     :     :        +- * Project (35)
            :     :     :           +- * BroadcastHashJoin Inner BuildRight (34)
            :     :     :              :- * ColumnarToRow (32)
            :     :     :              :  +- Scan parquet spark_catalog.default.catalog_sales (31)
            :     :     :              +- ReusedExchange (33)
            :     :     +- BroadcastExchange (41)
            :     :        +- * Project (40)
            :     :           +- * Scan OneRowRelation (39)
            :     +- * Project (73)
            :        +- * BroadcastHashJoin LeftOuter BuildRight (72)
            :           :- * HashAggregate (58)
            :           :  +- Exchange (57)
            :           :     +- * HashAggregate (56)
            :           :        +- * Project (55)
            :           :           +- * BroadcastHashJoin Inner BuildRight (54)
            :           :              :- * Project (49)
            :           :              :  +- * BroadcastHashJoin Inner BuildRight (48)
            :           :              :     :- * Filter (46)
            :           :              :     :  +- * ColumnarToRow (45)
            :           :              :     :     +- Scan parquet spark_catalog.default.web_sales (44)
            :           :              :     +- ReusedExchange (47)
            :           :              +- BroadcastExchange (53)
            :           :                 +- * Filter (52)
            :           :                    +- * ColumnarToRow (51)
            :           :                       +- Scan parquet spark_catalog.default.web_page (50)
            :           +- BroadcastExchange (71)
            :              +- * HashAggregate (70)
            :                 +- Exchange (69)
            :                    +- * HashAggregate (68)
            :                       +- * Project (67)
            :                          +- * BroadcastHashJoin Inner BuildRight (66)
            :                             :- * Project (64)
            :                             :  +- * BroadcastHashJoin Inner BuildRight (63)
            :                             :     :- * Filter (61)
            :                             :     :  +- * ColumnarToRow (60)
            :                             :     :     +- Scan parquet spark_catalog.default.web_returns (59)
            :                             :     +- ReusedExchange (62)
            :                             +- ReusedExchange (65)
            :- * HashAggregate (95)
            :  +- Exchange (94)
            :     +- * HashAggregate (93)
            :        +- * HashAggregate (92)
            :           +- Union (91)
            :              :- * Project (80)
            :              :  +- * BroadcastHashJoin LeftOuter BuildRight (79)
            :              :     :- * HashAggregate (77)
            :              :     :  +- ReusedExchange (76)
            :              :     +- ReusedExchange (78)
            :              :- * Project (85)
            :              :  +- * BroadcastNestedLoopJoin Inner BuildRight (84)
            :              :     :- * HashAggregate (82)
            :              :     :  +- ReusedExchange (81)
            :              :     +- ReusedExchange (83)
            :              +- * Project (90)
            :                 +- * BroadcastHashJoin LeftOuter BuildRight (89)
            :                    :- * HashAggregate (87)
            :                    :  +- ReusedExchange (86)
            :                    +- ReusedExchange (88)
            +- * HashAggregate (115)
               +- Exchange (114)
                  +- * HashAggregate (113)
                     +- * HashAggregate (112)
                        +- Union (111)
                           :- * Project (100)
                           :  +- * BroadcastHashJoin LeftOuter BuildRight (99)
                           :     :- * HashAggregate (97)
                           :     :  +- ReusedExchange (96)
                           :     +- ReusedExchange (98)
                           :- * Project (105)
                           :  +- * BroadcastNestedLoopJoin Inner BuildRight (104)
                           :     :- * HashAggregate (102)
                           :     :  +- ReusedExchange (101)
                           :     +- ReusedExchange (103)
                           +- * Project (110)
                              +- * BroadcastHashJoin LeftOuter BuildRight (109)
                                 :- * HashAggregate (107)
                                 :  +- ReusedExchange (106)
                                 +- ReusedExchange (108)


(1) Scan parquet spark_catalog.default.store_sales
Output [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_sk#4]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#4), dynamicpruningexpression(ss_sold_date_sk#4 IN dynamicpruning#5)]
PushedFilters: [IsNotNull(ss_store_sk)]
ReadSchema: struct<ss_store_sk:int,ss_ext_sales_price:decimal(7,2),ss_net_profit:decimal(7,2)>

(2) ColumnarToRow [codegen id : 3]
Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_sk#4]

(3) Filter [codegen id : 3]
Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_sk#4]
Condition : isnotnull(ss_store_sk#1)

(4) ReusedExchange [Reuses operator id: 125]
Output [1]: [d_date_sk#6]

(5) BroadcastHashJoin [codegen id : 3]
Left keys [1]: [ss_sold_date_sk#4]
Right keys [1]: [d_date_sk#6]
Join type: Inner
Join condition: None

(6) Project [codegen id : 3]
Output [3]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3]
Input [5]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_sk#4, d_date_sk#6]

(7) Scan parquet spark_catalog.default.store
Output [1]: [s_store_sk#7]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int>

(8) ColumnarToRow [codegen id : 2]
Input [1]: [s_store_sk#7]

(9) Filter [codegen id : 2]
Input [1]: [s_store_sk#7]
Condition : isnotnull(s_store_sk#7)

(10) BroadcastExchange
Input [1]: [s_store_sk#7]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=1]

(11) BroadcastHashJoin [codegen id : 3]
Left keys [1]: [ss_store_sk#1]
Right keys [1]: [s_store_sk#7]
Join type: Inner
Join condition: None

(12) Project [codegen id : 3]
Output [3]: [ss_ext_sales_price#2, ss_net_profit#3, s_store_sk#7]
Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, s_store_sk#7]

(13) HashAggregate [codegen id : 3]
Input [3]: [ss_ext_sales_price#2, ss_net_profit#3, s_store_sk#7]
Keys [1]: [s_store_sk#7]
Functions [2]: [partial_sum(UnscaledValue(ss_ext_sales_price#2)), partial_sum(UnscaledValue(ss_net_profit#3))]
Aggregate Attributes [2]: [sum#8, sum#9]
Results [3]: [s_store_sk#7, sum#10, sum#11]

(14) Exchange
Input [3]: [s_store_sk#7, sum#10, sum#11]
Arguments: hashpartitioning(s_store_sk#7, 5), ENSURE_REQUIREMENTS, [plan_id=2]

(15) HashAggregate [codegen id : 8]
Input [3]: [s_store_sk#7, sum#10, sum#11]
Keys [1]: [s_store_sk#7]
Functions [2]: [sum(UnscaledValue(ss_ext_sales_price#2)), sum(UnscaledValue(ss_net_profit#3))]
Aggregate Attributes [2]: [sum(UnscaledValue(ss_ext_sales_price#2))#12, sum(UnscaledValue(ss_net_profit#3))#13]
Results [3]: [s_store_sk#7, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#12,17,2) AS sales#14, MakeDecimal(sum(UnscaledValue(ss_net_profit#3))#13,17,2) AS profit#15]

(16) Scan parquet spark_catalog.default.store_returns
Output [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(sr_returned_date_sk#19), dynamicpruningexpression(sr_returned_date_sk#19 IN dynamicpruning#5)]
PushedFilters: [IsNotNull(sr_store_sk)]
ReadSchema: struct<sr_store_sk:int,sr_return_amt:decimal(7,2),sr_net_loss:decimal(7,2)>

(17) ColumnarToRow [codegen id : 6]
Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19]

(18) Filter [codegen id : 6]
Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19]
Condition : isnotnull(sr_store_sk#16)

(19) ReusedExchange [Reuses operator id: 125]
Output [1]: [d_date_sk#20]

(20) BroadcastHashJoin [codegen id : 6]
Left keys [1]: [sr_returned_date_sk#19]
Right keys [1]: [d_date_sk#20]
Join type: Inner
Join condition: None

(21) Project [codegen id : 6]
Output [3]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18]
Input [5]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19, d_date_sk#20]

(22) ReusedExchange [Reuses operator id: 10]
Output [1]: [s_store_sk#21]

(23) BroadcastHashJoin [codegen id : 6]
Left keys [1]: [sr_store_sk#16]
Right keys [1]: [s_store_sk#21]
Join type: Inner
Join condition: None

(24) Project [codegen id : 6]
Output [3]: [sr_return_amt#17, sr_net_loss#18, s_store_sk#21]
Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, s_store_sk#21]

(25) HashAggregate [codegen id : 6]
Input [3]: [sr_return_amt#17, sr_net_loss#18, s_store_sk#21]
Keys [1]: [s_store_sk#21]
Functions [2]: [partial_sum(UnscaledValue(sr_return_amt#17)), partial_sum(UnscaledValue(sr_net_loss#18))]
Aggregate Attributes [2]: [sum#22, sum#23]
Results [3]: [s_store_sk#21, sum#24, sum#25]

(26) Exchange
Input [3]: [s_store_sk#21, sum#24, sum#25]
Arguments: hashpartitioning(s_store_sk#21, 5), ENSURE_REQUIREMENTS, [plan_id=3]

(27) HashAggregate [codegen id : 7]
Input [3]: [s_store_sk#21, sum#24, sum#25]
Keys [1]: [s_store_sk#21]
Functions [2]: [sum(UnscaledValue(sr_return_amt#17)), sum(UnscaledValue(sr_net_loss#18))]
Aggregate Attributes [2]: [sum(UnscaledValue(sr_return_amt#17))#26, sum(UnscaledValue(sr_net_loss#18))#27]
Results [3]: [s_store_sk#21, MakeDecimal(sum(UnscaledValue(sr_return_amt#17))#26,17,2) AS returns#28, MakeDecimal(sum(UnscaledValue(sr_net_loss#18))#27,17,2) AS profit_loss#29]

(28) BroadcastExchange
Input [3]: [s_store_sk#21, returns#28, profit_loss#29]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4]

(29) BroadcastHashJoin [codegen id : 8]
Left keys [1]: [s_store_sk#7]
Right keys [1]: [s_store_sk#21]
Join type: LeftOuter
Join condition: None

(30) Project [codegen id : 8]
Output [5]: [store channel AS channel#30, s_store_sk#7 AS id#31, sales#14, coalesce(returns#28, 0.00) AS returns#32, (profit#15 - coalesce(profit_loss#29, 0.00)) AS profit#33]
Input [6]: [s_store_sk#7, sales#14, profit#15, s_store_sk#21, returns#28, profit_loss#29]

(31) Scan parquet spark_catalog.default.catalog_sales
Output [4]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#5)]
ReadSchema: struct<cs_call_center_sk:int,cs_ext_sales_price:decimal(7,2),cs_net_profit:decimal(7,2)>

(32) ColumnarToRow [codegen id : 10]
Input [4]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37]

(33) ReusedExchange [Reuses operator id: 125]
Output [1]: [d_date_sk#38]

(34) BroadcastHashJoin [codegen id : 10]
Left keys [1]: [cs_sold_date_sk#37]
Right keys [1]: [d_date_sk#38]
Join type: Inner
Join condition: None

(35) Project [codegen id : 10]
Output [3]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36]
Input [5]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37, d_date_sk#38]

(36) HashAggregate [codegen id : 10]
Input [3]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36]
Keys [1]: [cs_call_center_sk#34]
Functions [2]: [partial_sum(UnscaledValue(cs_ext_sales_price#35)), partial_sum(UnscaledValue(cs_net_profit#36))]
Aggregate Attributes [2]: [sum#39, sum#40]
Results [3]: [cs_call_center_sk#34, sum#41, sum#42]

(37) Exchange
Input [3]: [cs_call_center_sk#34, sum#41, sum#42]
Arguments: hashpartitioning(cs_call_center_sk#34, 5), ENSURE_REQUIREMENTS, [plan_id=5]

(38) HashAggregate [codegen id : 12]
Input [3]: [cs_call_center_sk#34, sum#41, sum#42]
Keys [1]: [cs_call_center_sk#34]
Functions [2]: [sum(UnscaledValue(cs_ext_sales_price#35)), sum(UnscaledValue(cs_net_profit#36))]
Aggregate Attributes [2]: [sum(UnscaledValue(cs_ext_sales_price#35))#43, sum(UnscaledValue(cs_net_profit#36))#44]
Results [3]: [cs_call_center_sk#34, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#35))#43,17,2) AS sales#45, MakeDecimal(sum(UnscaledValue(cs_net_profit#36))#44,17,2) AS profit#46]

(39) Scan OneRowRelation [codegen id : 11]
Output: []

(40) Project [codegen id : 11]
Output [2]: [Subquery scalar-subquery#47, [id=#6].returns AS returns#48, ReusedSubquery Subquery scalar-subquery#47, [id=#6].profit_loss AS profit_loss#49]
Input: []

(41) BroadcastExchange
Input [2]: [returns#48, profit_loss#49]
Arguments: IdentityBroadcastMode, [plan_id=7]

(42) BroadcastNestedLoopJoin [codegen id : 12]
Join type: Inner
Join condition: None

(43) Project [codegen id : 12]
Output [5]: [catalog channel AS channel#50, cs_call_center_sk#34 AS id#51, sales#45, returns#48, (profit#46 - profit_loss#49) AS profit#52]
Input [5]: [cs_call_center_sk#34, sales#45, profit#46, returns#48, profit_loss#49]

(44) Scan parquet spark_catalog.default.web_sales
Output [4]: [ws_web_page_sk#53, ws_ext_sales_price#54, ws_net_profit#55, ws_sold_date_sk#56]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#56), dynamicpruningexpression(ws_sold_date_sk#56 IN dynamicpruning#5)]
PushedFilters: [IsNotNull(ws_web_page_sk)]
ReadSchema: struct<ws_web_page_sk:int,ws_ext_sales_price:decimal(7,2),ws_net_profit:decimal(7,2)>

(45) ColumnarToRow [codegen id : 15]
Input [4]: [ws_web_page_sk#53, ws_ext_sales_price#54, ws_net_profit#55, ws_sold_date_sk#56]

(46) Filter [codegen id : 15]
Input [4]: [ws_web_page_sk#53, ws_ext_sales_price#54, ws_net_profit#55, ws_sold_date_sk#56]
Condition : isnotnull(ws_web_page_sk#53)

(47) ReusedExchange [Reuses operator id: 125]
Output [1]: [d_date_sk#57]

(48) BroadcastHashJoin [codegen id : 15]
Left keys [1]: [ws_sold_date_sk#56]
Right keys [1]: [d_date_sk#57]
Join type: Inner
Join condition: None

(49) Project [codegen id : 15]
Output [3]: [ws_web_page_sk#53, ws_ext_sales_price#54, ws_net_profit#55]
Input [5]: [ws_web_page_sk#53, ws_ext_sales_price#54, ws_net_profit#55, ws_sold_date_sk#56, d_date_sk#57]

(50) Scan parquet spark_catalog.default.web_page
Output [1]: [wp_web_page_sk#58]
Batched: true
Location [not included in comparison]/{warehouse_dir}/web_page]
PushedFilters: [IsNotNull(wp_web_page_sk)]
ReadSchema: struct<wp_web_page_sk:int>

(51) ColumnarToRow [codegen id : 14]
Input [1]: [wp_web_page_sk#58]

(52) Filter [codegen id : 14]
Input [1]: [wp_web_page_sk#58]
Condition : isnotnull(wp_web_page_sk#58)

(53) BroadcastExchange
Input [1]: [wp_web_page_sk#58]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8]

(54) BroadcastHashJoin [codegen id : 15]
Left keys [1]: [ws_web_page_sk#53]
Right keys [1]: [wp_web_page_sk#58]
Join type: Inner
Join condition: None

(55) Project [codegen id : 15]
Output [3]: [ws_ext_sales_price#54, ws_net_profit#55, wp_web_page_sk#58]
Input [4]: [ws_web_page_sk#53, ws_ext_sales_price#54, ws_net_profit#55, wp_web_page_sk#58]

(56) HashAggregate [codegen id : 15]
Input [3]: [ws_ext_sales_price#54, ws_net_profit#55, wp_web_page_sk#58]
Keys [1]: [wp_web_page_sk#58]
Functions [2]: [partial_sum(UnscaledValue(ws_ext_sales_price#54)), partial_sum(UnscaledValue(ws_net_profit#55))]
Aggregate Attributes [2]: [sum#59, sum#60]
Results [3]: [wp_web_page_sk#58, sum#61, sum#62]

(57) Exchange
Input [3]: [wp_web_page_sk#58, sum#61, sum#62]
Arguments: hashpartitioning(wp_web_page_sk#58, 5), ENSURE_REQUIREMENTS, [plan_id=9]

(58) HashAggregate [codegen id : 20]
Input [3]: [wp_web_page_sk#58, sum#61, sum#62]
Keys [1]: [wp_web_page_sk#58]
Functions [2]: [sum(UnscaledValue(ws_ext_sales_price#54)), sum(UnscaledValue(ws_net_profit#55))]
Aggregate Attributes [2]: [sum(UnscaledValue(ws_ext_sales_price#54))#63, sum(UnscaledValue(ws_net_profit#55))#64]
Results [3]: [wp_web_page_sk#58, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#54))#63,17,2) AS sales#65, MakeDecimal(sum(UnscaledValue(ws_net_profit#55))#64,17,2) AS profit#66]

(59) Scan parquet spark_catalog.default.web_returns
Output [4]: [wr_web_page_sk#67, wr_return_amt#68, wr_net_loss#69, wr_returned_date_sk#70]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(wr_returned_date_sk#70), dynamicpruningexpression(wr_returned_date_sk#70 IN dynamicpruning#5)]
PushedFilters: [IsNotNull(wr_web_page_sk)]
ReadSchema: struct<wr_web_page_sk:int,wr_return_amt:decimal(7,2),wr_net_loss:decimal(7,2)>

(60) ColumnarToRow [codegen id : 18]
Input [4]: [wr_web_page_sk#67, wr_return_amt#68, wr_net_loss#69, wr_returned_date_sk#70]

(61) Filter [codegen id : 18]
Input [4]: [wr_web_page_sk#67, wr_return_amt#68, wr_net_loss#69, wr_returned_date_sk#70]
Condition : isnotnull(wr_web_page_sk#67)

(62) ReusedExchange [Reuses operator id: 125]
Output [1]: [d_date_sk#71]

(63) BroadcastHashJoin [codegen id : 18]
Left keys [1]: [wr_returned_date_sk#70]
Right keys [1]: [d_date_sk#71]
Join type: Inner
Join condition: None

(64) Project [codegen id : 18]
Output [3]: [wr_web_page_sk#67, wr_return_amt#68, wr_net_loss#69]
Input [5]: [wr_web_page_sk#67, wr_return_amt#68, wr_net_loss#69, wr_returned_date_sk#70, d_date_sk#71]

(65) ReusedExchange [Reuses operator id: 53]
Output [1]: [wp_web_page_sk#72]

(66) BroadcastHashJoin [codegen id : 18]
Left keys [1]: [wr_web_page_sk#67]
Right keys [1]: [wp_web_page_sk#72]
Join type: Inner
Join condition: None

(67) Project [codegen id : 18]
Output [3]: [wr_return_amt#68, wr_net_loss#69, wp_web_page_sk#72]
Input [4]: [wr_web_page_sk#67, wr_return_amt#68, wr_net_loss#69, wp_web_page_sk#72]

(68) HashAggregate [codegen id : 18]
Input [3]: [wr_return_amt#68, wr_net_loss#69, wp_web_page_sk#72]
Keys [1]: [wp_web_page_sk#72]
Functions [2]: [partial_sum(UnscaledValue(wr_return_amt#68)), partial_sum(UnscaledValue(wr_net_loss#69))]
Aggregate Attributes [2]: [sum#73, sum#74]
Results [3]: [wp_web_page_sk#72, sum#75, sum#76]

(69) Exchange
Input [3]: [wp_web_page_sk#72, sum#75, sum#76]
Arguments: hashpartitioning(wp_web_page_sk#72, 5), ENSURE_REQUIREMENTS, [plan_id=10]

(70) HashAggregate [codegen id : 19]
Input [3]: [wp_web_page_sk#72, sum#75, sum#76]
Keys [1]: [wp_web_page_sk#72]
Functions [2]: [sum(UnscaledValue(wr_return_amt#68)), sum(UnscaledValue(wr_net_loss#69))]
Aggregate Attributes [2]: [sum(UnscaledValue(wr_return_amt#68))#77, sum(UnscaledValue(wr_net_loss#69))#78]
Results [3]: [wp_web_page_sk#72, MakeDecimal(sum(UnscaledValue(wr_return_amt#68))#77,17,2) AS returns#79, MakeDecimal(sum(UnscaledValue(wr_net_loss#69))#78,17,2) AS profit_loss#80]

(71) BroadcastExchange
Input [3]: [wp_web_page_sk#72, returns#79, profit_loss#80]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11]

(72) BroadcastHashJoin [codegen id : 20]
Left keys [1]: [wp_web_page_sk#58]
Right keys [1]: [wp_web_page_sk#72]
Join type: LeftOuter
Join condition: None

(73) Project [codegen id : 20]
Output [5]: [web channel AS channel#81, wp_web_page_sk#58 AS id#82, sales#65, coalesce(returns#79, 0.00) AS returns#83, (profit#66 - coalesce(profit_loss#80, 0.00)) AS profit#84]
Input [6]: [wp_web_page_sk#58, sales#65, profit#66, wp_web_page_sk#72, returns#79, profit_loss#80]

(74) Union

(75) HashAggregate [codegen id : 21]
Input [5]: [channel#30, id#31, sales#14, returns#32, profit#33]
Keys [2]: [channel#30, id#31]
Functions [3]: [sum(sales#14), sum(returns#32), sum(profit#33)]
Aggregate Attributes [3]: [sum(sales#14)#85, sum(returns#32)#86, sum(profit#33)#87]
Results [5]: [channel#30, id#31, cast(sum(sales#14)#85 as decimal(37,2)) AS sales#88, cast(sum(returns#32)#86 as decimal(37,2)) AS returns#89, cast(sum(profit#33)#87 as decimal(38,2)) AS profit#90]

(76) ReusedExchange [Reuses operator id: 14]
Output [3]: [s_store_sk#91, sum#92, sum#93]

(77) HashAggregate [codegen id : 29]
Input [3]: [s_store_sk#91, sum#92, sum#93]
Keys [1]: [s_store_sk#91]
Functions [2]: [sum(UnscaledValue(ss_ext_sales_price#94)), sum(UnscaledValue(ss_net_profit#95))]
Aggregate Attributes [2]: [sum(UnscaledValue(ss_ext_sales_price#94))#12, sum(UnscaledValue(ss_net_profit#95))#13]
Results [3]: [s_store_sk#91, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#94))#12,17,2) AS sales#96, MakeDecimal(sum(UnscaledValue(ss_net_profit#95))#13,17,2) AS profit#97]

(78) ReusedExchange [Reuses operator id: 28]
Output [3]: [s_store_sk#98, returns#99, profit_loss#100]

(79) BroadcastHashJoin [codegen id : 29]
Left keys [1]: [s_store_sk#91]
Right keys [1]: [s_store_sk#98]
Join type: LeftOuter
Join condition: None

(80) Project [codegen id : 29]
Output [5]: [store channel AS channel#101, s_store_sk#91 AS id#102, sales#96, coalesce(returns#99, 0.00) AS returns#103, (profit#97 - coalesce(profit_loss#100, 0.00)) AS profit#104]
Input [6]: [s_store_sk#91, sales#96, profit#97, s_store_sk#98, returns#99, profit_loss#100]

(81) ReusedExchange [Reuses operator id: 37]
Output [3]: [cs_call_center_sk#105, sum#106, sum#107]

(82) HashAggregate [codegen id : 33]
Input [3]: [cs_call_center_sk#105, sum#106, sum#107]
Keys [1]: [cs_call_center_sk#105]
Functions [2]: [sum(UnscaledValue(cs_ext_sales_price#108)), sum(UnscaledValue(cs_net_profit#109))]
Aggregate Attributes [2]: [sum(UnscaledValue(cs_ext_sales_price#108))#43, sum(UnscaledValue(cs_net_profit#109))#44]
Results [3]: [cs_call_center_sk#105, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#108))#43,17,2) AS sales#110, MakeDecimal(sum(UnscaledValue(cs_net_profit#109))#44,17,2) AS profit#111]

(83) ReusedExchange [Reuses operator id: 41]
Output [2]: [returns#112, profit_loss#113]

(84) BroadcastNestedLoopJoin [codegen id : 33]
Join type: Inner
Join condition: None

(85) Project [codegen id : 33]
Output [5]: [catalog channel AS channel#114, cs_call_center_sk#105 AS id#115, sales#110, returns#112, (profit#111 - profit_loss#113) AS profit#116]
Input [5]: [cs_call_center_sk#105, sales#110, profit#111, returns#112, profit_loss#113]

(86) ReusedExchange [Reuses operator id: 57]
Output [3]: [wp_web_page_sk#117, sum#118, sum#119]

(87) HashAggregate [codegen id : 41]
Input [3]: [wp_web_page_sk#117, sum#118, sum#119]
Keys [1]: [wp_web_page_sk#117]
Functions [2]: [sum(UnscaledValue(ws_ext_sales_price#120)), sum(UnscaledValue(ws_net_profit#121))]
Aggregate Attributes [2]: [sum(UnscaledValue(ws_ext_sales_price#120))#63, sum(UnscaledValue(ws_net_profit#121))#64]
Results [3]: [wp_web_page_sk#117, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#120))#63,17,2) AS sales#122, MakeDecimal(sum(UnscaledValue(ws_net_profit#121))#64,17,2) AS profit#123]

(88) ReusedExchange [Reuses operator id: 71]
Output [3]: [wp_web_page_sk#124, returns#125, profit_loss#126]

(89) BroadcastHashJoin [codegen id : 41]
Left keys [1]: [wp_web_page_sk#117]
Right keys [1]: [wp_web_page_sk#124]
Join type: LeftOuter
Join condition: None

(90) Project [codegen id : 41]
Output [5]: [web channel AS channel#127, wp_web_page_sk#117 AS id#128, sales#122, coalesce(returns#125, 0.00) AS returns#129, (profit#123 - coalesce(profit_loss#126, 0.00)) AS profit#130]
Input [6]: [wp_web_page_sk#117, sales#122, profit#123, wp_web_page_sk#124, returns#125, profit_loss#126]

(91) Union

(92) HashAggregate [codegen id : 42]
Input [5]: [channel#101, id#102, sales#96, returns#103, profit#104]
Keys [2]: [channel#101, id#102]
Functions [3]: [sum(sales#96), sum(returns#103), sum(profit#104)]
Aggregate Attributes [3]: [sum(sales#96)#85, sum(returns#103)#86, sum(profit#104)#87]
Results [4]: [channel#101, sum(sales#96)#85 AS sales#131, sum(returns#103)#86 AS returns#132, sum(profit#104)#87 AS profit#133]

(93) HashAggregate [codegen id : 42]
Input [4]: [channel#101, sales#131, returns#132, profit#133]
Keys [1]: [channel#101]
Functions [3]: [partial_sum(sales#131), partial_sum(returns#132), partial_sum(profit#133)]
Aggregate Attributes [6]: [sum#134, isEmpty#135, sum#136, isEmpty#137, sum#138, isEmpty#139]
Results [7]: [channel#101, sum#140, isEmpty#141, sum#142, isEmpty#143, sum#144, isEmpty#145]

(94) Exchange
Input [7]: [channel#101, sum#140, isEmpty#141, sum#142, isEmpty#143, sum#144, isEmpty#145]
Arguments: hashpartitioning(channel#101, 5), ENSURE_REQUIREMENTS, [plan_id=12]

(95) HashAggregate [codegen id : 43]
Input [7]: [channel#101, sum#140, isEmpty#141, sum#142, isEmpty#143, sum#144, isEmpty#145]
Keys [1]: [channel#101]
Functions [3]: [sum(sales#131), sum(returns#132), sum(profit#133)]
Aggregate Attributes [3]: [sum(sales#131)#146, sum(returns#132)#147, sum(profit#133)#148]
Results [5]: [channel#101, null AS id#149, sum(sales#131)#146 AS sales#150, sum(returns#132)#147 AS returns#151, sum(profit#133)#148 AS profit#152]

(96) ReusedExchange [Reuses operator id: 14]
Output [3]: [s_store_sk#153, sum#154, sum#155]

(97) HashAggregate [codegen id : 51]
Input [3]: [s_store_sk#153, sum#154, sum#155]
Keys [1]: [s_store_sk#153]
Functions [2]: [sum(UnscaledValue(ss_ext_sales_price#156)), sum(UnscaledValue(ss_net_profit#157))]
Aggregate Attributes [2]: [sum(UnscaledValue(ss_ext_sales_price#156))#12, sum(UnscaledValue(ss_net_profit#157))#13]
Results [3]: [s_store_sk#153, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#156))#12,17,2) AS sales#158, MakeDecimal(sum(UnscaledValue(ss_net_profit#157))#13,17,2) AS profit#159]

(98) ReusedExchange [Reuses operator id: 28]
Output [3]: [s_store_sk#160, returns#161, profit_loss#162]

(99) BroadcastHashJoin [codegen id : 51]
Left keys [1]: [s_store_sk#153]
Right keys [1]: [s_store_sk#160]
Join type: LeftOuter
Join condition: None

(100) Project [codegen id : 51]
Output [5]: [store channel AS channel#163, s_store_sk#153 AS id#164, sales#158, coalesce(returns#161, 0.00) AS returns#165, (profit#159 - coalesce(profit_loss#162, 0.00)) AS profit#166]
Input [6]: [s_store_sk#153, sales#158, profit#159, s_store_sk#160, returns#161, profit_loss#162]

(101) ReusedExchange [Reuses operator id: 37]
Output [3]: [cs_call_center_sk#167, sum#168, sum#169]

(102) HashAggregate [codegen id : 55]
Input [3]: [cs_call_center_sk#167, sum#168, sum#169]
Keys [1]: [cs_call_center_sk#167]
Functions [2]: [sum(UnscaledValue(cs_ext_sales_price#170)), sum(UnscaledValue(cs_net_profit#171))]
Aggregate Attributes [2]: [sum(UnscaledValue(cs_ext_sales_price#170))#43, sum(UnscaledValue(cs_net_profit#171))#44]
Results [3]: [cs_call_center_sk#167, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#170))#43,17,2) AS sales#172, MakeDecimal(sum(UnscaledValue(cs_net_profit#171))#44,17,2) AS profit#173]

(103) ReusedExchange [Reuses operator id: 41]
Output [2]: [returns#174, profit_loss#175]

(104) BroadcastNestedLoopJoin [codegen id : 55]
Join type: Inner
Join condition: None

(105) Project [codegen id : 55]
Output [5]: [catalog channel AS channel#176, cs_call_center_sk#167 AS id#177, sales#172, returns#174, (profit#173 - profit_loss#175) AS profit#178]
Input [5]: [cs_call_center_sk#167, sales#172, profit#173, returns#174, profit_loss#175]

(106) ReusedExchange [Reuses operator id: 57]
Output [3]: [wp_web_page_sk#179, sum#180, sum#181]

(107) HashAggregate [codegen id : 63]
Input [3]: [wp_web_page_sk#179, sum#180, sum#181]
Keys [1]: [wp_web_page_sk#179]
Functions [2]: [sum(UnscaledValue(ws_ext_sales_price#182)), sum(UnscaledValue(ws_net_profit#183))]
Aggregate Attributes [2]: [sum(UnscaledValue(ws_ext_sales_price#182))#63, sum(UnscaledValue(ws_net_profit#183))#64]
Results [3]: [wp_web_page_sk#179, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#182))#63,17,2) AS sales#184, MakeDecimal(sum(UnscaledValue(ws_net_profit#183))#64,17,2) AS profit#185]

(108) ReusedExchange [Reuses operator id: 71]
Output [3]: [wp_web_page_sk#186, returns#187, profit_loss#188]

(109) BroadcastHashJoin [codegen id : 63]
Left keys [1]: [wp_web_page_sk#179]
Right keys [1]: [wp_web_page_sk#186]
Join type: LeftOuter
Join condition: None

(110) Project [codegen id : 63]
Output [5]: [web channel AS channel#189, wp_web_page_sk#179 AS id#190, sales#184, coalesce(returns#187, 0.00) AS returns#191, (profit#185 - coalesce(profit_loss#188, 0.00)) AS profit#192]
Input [6]: [wp_web_page_sk#179, sales#184, profit#185, wp_web_page_sk#186, returns#187, profit_loss#188]

(111) Union

(112) HashAggregate [codegen id : 64]
Input [5]: [channel#163, id#164, sales#158, returns#165, profit#166]
Keys [2]: [channel#163, id#164]
Functions [3]: [sum(sales#158), sum(returns#165), sum(profit#166)]
Aggregate Attributes [3]: [sum(sales#158)#85, sum(returns#165)#86, sum(profit#166)#87]
Results [3]: [sum(sales#158)#85 AS sales#193, sum(returns#165)#86 AS returns#194, sum(profit#166)#87 AS profit#195]

(113) HashAggregate [codegen id : 64]
Input [3]: [sales#193, returns#194, profit#195]
Keys: []
Functions [3]: [partial_sum(sales#193), partial_sum(returns#194), partial_sum(profit#195)]
Aggregate Attributes [6]: [sum#196, isEmpty#197, sum#198, isEmpty#199, sum#200, isEmpty#201]
Results [6]: [sum#202, isEmpty#203, sum#204, isEmpty#205, sum#206, isEmpty#207]

(114) Exchange
Input [6]: [sum#202, isEmpty#203, sum#204, isEmpty#205, sum#206, isEmpty#207]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=13]

(115) HashAggregate [codegen id : 65]
Input [6]: [sum#202, isEmpty#203, sum#204, isEmpty#205, sum#206, isEmpty#207]
Keys: []
Functions [3]: [sum(sales#193), sum(returns#194), sum(profit#195)]
Aggregate Attributes [3]: [sum(sales#193)#208, sum(returns#194)#209, sum(profit#195)#210]
Results [5]: [null AS channel#211, null AS id#212, sum(sales#193)#208 AS sales#213, sum(returns#194)#209 AS returns#214, sum(profit#195)#210 AS profit#215]

(116) Union

(117) HashAggregate [codegen id : 66]
Input [5]: [channel#30, id#31, sales#88, returns#89, profit#90]
Keys [5]: [channel#30, id#31, sales#88, returns#89, profit#90]
Functions: []
Aggregate Attributes: []
Results [5]: [channel#30, id#31, sales#88, returns#89, profit#90]

(118) Exchange
Input [5]: [channel#30, id#31, sales#88, returns#89, profit#90]
Arguments: hashpartitioning(channel#30, id#31, sales#88, returns#89, profit#90, 5), ENSURE_REQUIREMENTS, [plan_id=14]

(119) HashAggregate [codegen id : 67]
Input [5]: [channel#30, id#31, sales#88, returns#89, profit#90]
Keys [5]: [channel#30, id#31, sales#88, returns#89, profit#90]
Functions: []
Aggregate Attributes: []
Results [5]: [channel#30, id#31, sales#88, returns#89, profit#90]

(120) TakeOrderedAndProject
Input [5]: [channel#30, id#31, sales#88, returns#89, profit#90]
Arguments: 100, [channel#30 ASC NULLS FIRST, id#31 ASC NULLS FIRST], [channel#30, id#31, sales#88, returns#89, profit#90]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5
BroadcastExchange (125)
+- * Project (124)
   +- * Filter (123)
      +- * ColumnarToRow (122)
         +- Scan parquet spark_catalog.default.date_dim (121)


(121) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#6, d_date#216]
Batched: true
Location [not included in comparison]/{warehouse_dir}/date_dim]
PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1998-08-04), LessThanOrEqual(d_date,1998-09-03), IsNotNull(d_date_sk)]
ReadSchema: struct<d_date_sk:int,d_date:date>

(122) ColumnarToRow [codegen id : 1]
Input [2]: [d_date_sk#6, d_date#216]

(123) Filter [codegen id : 1]
Input [2]: [d_date_sk#6, d_date#216]
Condition : (((isnotnull(d_date#216) AND (d_date#216 >= 1998-08-04)) AND (d_date#216 <= 1998-09-03)) AND isnotnull(d_date_sk#6))

(124) Project [codegen id : 1]
Output [1]: [d_date_sk#6]
Input [2]: [d_date_sk#6, d_date#216]

(125) BroadcastExchange
Input [1]: [d_date_sk#6]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=15]

Subquery:2 Hosting operator id = 16 Hosting Expression = sr_returned_date_sk#19 IN dynamicpruning#5

Subquery:3 Hosting operator id = 31 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#5

Subquery:4 Hosting operator id = 40 Hosting Expression = Subquery scalar-subquery#47, [id=#6]
* Project (134)
+- * HashAggregate (133)
   +- Exchange (132)
      +- * HashAggregate (131)
         +- * Project (130)
            +- * BroadcastHashJoin Inner BuildRight (129)
               :- * ColumnarToRow (127)
               :  +- Scan parquet spark_catalog.default.catalog_returns (126)
               +- ReusedExchange (128)


(126) Scan parquet spark_catalog.default.catalog_returns
Output [3]: [cr_return_amount#217, cr_net_loss#218, cr_returned_date_sk#219]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cr_returned_date_sk#219), dynamicpruningexpression(cr_returned_date_sk#219 IN dynamicpruning#5)]
ReadSchema: struct<cr_return_amount:decimal(7,2),cr_net_loss:decimal(7,2)>

(127) ColumnarToRow [codegen id : 2]
Input [3]: [cr_return_amount#217, cr_net_loss#218, cr_returned_date_sk#219]

(128) ReusedExchange [Reuses operator id: 125]
Output [1]: [d_date_sk#220]

(129) BroadcastHashJoin [codegen id : 2]
Left keys [1]: [cr_returned_date_sk#219]
Right keys [1]: [d_date_sk#220]
Join type: Inner
Join condition: None

(130) Project [codegen id : 2]
Output [2]: [cr_return_amount#217, cr_net_loss#218]
Input [4]: [cr_return_amount#217, cr_net_loss#218, cr_returned_date_sk#219, d_date_sk#220]

(131) HashAggregate [codegen id : 2]
Input [2]: [cr_return_amount#217, cr_net_loss#218]
Keys: []
Functions [2]: [partial_sum(UnscaledValue(cr_return_amount#217)), partial_sum(UnscaledValue(cr_net_loss#218))]
Aggregate Attributes [2]: [sum#221, sum#222]
Results [2]: [sum#223, sum#224]

(132) Exchange
Input [2]: [sum#223, sum#224]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=16]

(133) HashAggregate [codegen id : 3]
Input [2]: [sum#223, sum#224]
Keys: []
Functions [2]: [sum(UnscaledValue(cr_return_amount#217)), sum(UnscaledValue(cr_net_loss#218))]
Aggregate Attributes [2]: [sum(UnscaledValue(cr_return_amount#217))#225, sum(UnscaledValue(cr_net_loss#218))#226]
Results [2]: [MakeDecimal(sum(UnscaledValue(cr_return_amount#217))#225,17,2) AS returns#48, MakeDecimal(sum(UnscaledValue(cr_net_loss#218))#226,17,2) AS profit_loss#49]

(134) Project [codegen id : 3]
Output [1]: [named_struct(returns, returns#48, profit_loss, profit_loss#49) AS mergedValue#227]
Input [2]: [returns#48, profit_loss#49]

Subquery:5 Hosting operator id = 126 Hosting Expression = cr_returned_date_sk#219 IN dynamicpruning#5

Subquery:6 Hosting operator id = 40 Hosting Expression = ReusedSubquery Subquery scalar-subquery#47, [id=#6]

Subquery:7 Hosting operator id = 44 Hosting Expression = ws_sold_date_sk#56 IN dynamicpruning#5

Subquery:8 Hosting operator id = 59 Hosting Expression = wr_returned_date_sk#70 IN dynamicpruning#5


