== Physical Plan ==
TakeOrderedAndProject (92)
+- * HashAggregate (91)
   +- Exchange (90)
      +- * HashAggregate (89)
         +- Union (88)
            :- * HashAggregate (77)
            :  +- Exchange (76)
            :     +- * 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 BuildLeft (42)
            :           :     :- BroadcastExchange (39)
            :           :     :  +- * HashAggregate (38)
            :           :     :     +- Exchange (37)
            :           :     :        +- * HashAggregate (36)
            :           :     :           +- * Project (35)
            :           :     :              +- * BroadcastHashJoin Inner BuildRight (34)
            :           :     :                 :- * ColumnarToRow (32)
            :           :     :                 :  +- Scan parquet spark_catalog.default.catalog_sales (31)
            :           :     :                 +- ReusedExchange (33)
            :           :     +- * Project (41)
            :           :        +- * Scan OneRowRelation (40)
            :           +- * 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 (82)
            :  +- Exchange (81)
            :     +- * HashAggregate (80)
            :        +- * HashAggregate (79)
            :           +- ReusedExchange (78)
            +- * HashAggregate (87)
               +- Exchange (86)
                  +- * HashAggregate (85)
                     +- * HashAggregate (84)
                        +- ReusedExchange (83)


(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: 97]
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: 97]
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: 97]
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 : 11]
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) BroadcastExchange
Input [3]: [cs_call_center_sk#34, sales#45, profit#46]
Arguments: IdentityBroadcastMode, [plan_id=6]

(40) Scan OneRowRelation
Output: []

(41) Project
Output [2]: [Subquery scalar-subquery#47, [id=#7].returns AS returns#48, ReusedSubquery Subquery scalar-subquery#47, [id=#7].profit_loss AS profit_loss#49]
Input: []

(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: 97]
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: 97]
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]: [partial_sum(sales#14), partial_sum(returns#32), partial_sum(profit#33)]
Aggregate Attributes [6]: [sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90]
Results [8]: [channel#30, id#31, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96]

(76) Exchange
Input [8]: [channel#30, id#31, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96]
Arguments: hashpartitioning(channel#30, id#31, 5), ENSURE_REQUIREMENTS, [plan_id=12]

(77) HashAggregate [codegen id : 22]
Input [8]: [channel#30, id#31, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96]
Keys [2]: [channel#30, id#31]
Functions [3]: [sum(sales#14), sum(returns#32), sum(profit#33)]
Aggregate Attributes [3]: [sum(sales#14)#97, sum(returns#32)#98, sum(profit#33)#99]
Results [5]: [channel#30, id#31, cast(sum(sales#14)#97 as decimal(37,2)) AS sales#100, cast(sum(returns#32)#98 as decimal(37,2)) AS returns#101, cast(sum(profit#33)#99 as decimal(38,2)) AS profit#102]

(78) ReusedExchange [Reuses operator id: 76]
Output [8]: [channel#103, id#104, sum#105, isEmpty#106, sum#107, isEmpty#108, sum#109, isEmpty#110]

(79) HashAggregate [codegen id : 44]
Input [8]: [channel#103, id#104, sum#105, isEmpty#106, sum#107, isEmpty#108, sum#109, isEmpty#110]
Keys [2]: [channel#103, id#104]
Functions [3]: [sum(sales#111), sum(returns#112), sum(profit#113)]
Aggregate Attributes [3]: [sum(sales#111)#97, sum(returns#112)#98, sum(profit#113)#99]
Results [4]: [channel#103, sum(sales#111)#97 AS sales#114, sum(returns#112)#98 AS returns#115, sum(profit#113)#99 AS profit#116]

(80) HashAggregate [codegen id : 44]
Input [4]: [channel#103, sales#114, returns#115, profit#116]
Keys [1]: [channel#103]
Functions [3]: [partial_sum(sales#114), partial_sum(returns#115), partial_sum(profit#116)]
Aggregate Attributes [6]: [sum#117, isEmpty#118, sum#119, isEmpty#120, sum#121, isEmpty#122]
Results [7]: [channel#103, sum#123, isEmpty#124, sum#125, isEmpty#126, sum#127, isEmpty#128]

(81) Exchange
Input [7]: [channel#103, sum#123, isEmpty#124, sum#125, isEmpty#126, sum#127, isEmpty#128]
Arguments: hashpartitioning(channel#103, 5), ENSURE_REQUIREMENTS, [plan_id=13]

(82) HashAggregate [codegen id : 45]
Input [7]: [channel#103, sum#123, isEmpty#124, sum#125, isEmpty#126, sum#127, isEmpty#128]
Keys [1]: [channel#103]
Functions [3]: [sum(sales#114), sum(returns#115), sum(profit#116)]
Aggregate Attributes [3]: [sum(sales#114)#129, sum(returns#115)#130, sum(profit#116)#131]
Results [5]: [channel#103, null AS id#132, sum(sales#114)#129 AS sales#133, sum(returns#115)#130 AS returns#134, sum(profit#116)#131 AS profit#135]

(83) ReusedExchange [Reuses operator id: 76]
Output [8]: [channel#136, id#137, sum#138, isEmpty#139, sum#140, isEmpty#141, sum#142, isEmpty#143]

(84) HashAggregate [codegen id : 67]
Input [8]: [channel#136, id#137, sum#138, isEmpty#139, sum#140, isEmpty#141, sum#142, isEmpty#143]
Keys [2]: [channel#136, id#137]
Functions [3]: [sum(sales#144), sum(returns#145), sum(profit#146)]
Aggregate Attributes [3]: [sum(sales#144)#97, sum(returns#145)#98, sum(profit#146)#99]
Results [3]: [sum(sales#144)#97 AS sales#147, sum(returns#145)#98 AS returns#148, sum(profit#146)#99 AS profit#149]

(85) HashAggregate [codegen id : 67]
Input [3]: [sales#147, returns#148, profit#149]
Keys: []
Functions [3]: [partial_sum(sales#147), partial_sum(returns#148), partial_sum(profit#149)]
Aggregate Attributes [6]: [sum#150, isEmpty#151, sum#152, isEmpty#153, sum#154, isEmpty#155]
Results [6]: [sum#156, isEmpty#157, sum#158, isEmpty#159, sum#160, isEmpty#161]

(86) Exchange
Input [6]: [sum#156, isEmpty#157, sum#158, isEmpty#159, sum#160, isEmpty#161]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=14]

(87) HashAggregate [codegen id : 68]
Input [6]: [sum#156, isEmpty#157, sum#158, isEmpty#159, sum#160, isEmpty#161]
Keys: []
Functions [3]: [sum(sales#147), sum(returns#148), sum(profit#149)]
Aggregate Attributes [3]: [sum(sales#147)#162, sum(returns#148)#163, sum(profit#149)#164]
Results [5]: [null AS channel#165, null AS id#166, sum(sales#147)#162 AS sales#167, sum(returns#148)#163 AS returns#168, sum(profit#149)#164 AS profit#169]

(88) Union

(89) HashAggregate [codegen id : 69]
Input [5]: [channel#30, id#31, sales#100, returns#101, profit#102]
Keys [5]: [channel#30, id#31, sales#100, returns#101, profit#102]
Functions: []
Aggregate Attributes: []
Results [5]: [channel#30, id#31, sales#100, returns#101, profit#102]

(90) Exchange
Input [5]: [channel#30, id#31, sales#100, returns#101, profit#102]
Arguments: hashpartitioning(channel#30, id#31, sales#100, returns#101, profit#102, 5), ENSURE_REQUIREMENTS, [plan_id=15]

(91) HashAggregate [codegen id : 70]
Input [5]: [channel#30, id#31, sales#100, returns#101, profit#102]
Keys [5]: [channel#30, id#31, sales#100, returns#101, profit#102]
Functions: []
Aggregate Attributes: []
Results [5]: [channel#30, id#31, sales#100, returns#101, profit#102]

(92) TakeOrderedAndProject
Input [5]: [channel#30, id#31, sales#100, returns#101, profit#102]
Arguments: 100, [channel#30 ASC NULLS FIRST, id#31 ASC NULLS FIRST], [channel#30, id#31, sales#100, returns#101, profit#102]

===== Subqueries =====

Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5
BroadcastExchange (97)
+- * Project (96)
   +- * Filter (95)
      +- * ColumnarToRow (94)
         +- Scan parquet spark_catalog.default.date_dim (93)


(93) Scan parquet spark_catalog.default.date_dim
Output [2]: [d_date_sk#6, d_date#170]
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>

(94) ColumnarToRow [codegen id : 1]
Input [2]: [d_date_sk#6, d_date#170]

(95) Filter [codegen id : 1]
Input [2]: [d_date_sk#6, d_date#170]
Condition : (((isnotnull(d_date#170) AND (d_date#170 >= 1998-08-04)) AND (d_date#170 <= 1998-09-03)) AND isnotnull(d_date_sk#6))

(96) Project [codegen id : 1]
Output [1]: [d_date_sk#6]
Input [2]: [d_date_sk#6, d_date#170]

(97) BroadcastExchange
Input [1]: [d_date_sk#6]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=16]

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 = 41 Hosting Expression = Subquery scalar-subquery#47, [id=#7]
* Project (106)
+- * HashAggregate (105)
   +- Exchange (104)
      +- * HashAggregate (103)
         +- * Project (102)
            +- * BroadcastHashJoin Inner BuildRight (101)
               :- * ColumnarToRow (99)
               :  +- Scan parquet spark_catalog.default.catalog_returns (98)
               +- ReusedExchange (100)


(98) Scan parquet spark_catalog.default.catalog_returns
Output [3]: [cr_return_amount#171, cr_net_loss#172, cr_returned_date_sk#173]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cr_returned_date_sk#173), dynamicpruningexpression(cr_returned_date_sk#173 IN dynamicpruning#5)]
ReadSchema: struct<cr_return_amount:decimal(7,2),cr_net_loss:decimal(7,2)>

(99) ColumnarToRow [codegen id : 2]
Input [3]: [cr_return_amount#171, cr_net_loss#172, cr_returned_date_sk#173]

(100) ReusedExchange [Reuses operator id: 97]
Output [1]: [d_date_sk#174]

(101) BroadcastHashJoin [codegen id : 2]
Left keys [1]: [cr_returned_date_sk#173]
Right keys [1]: [d_date_sk#174]
Join type: Inner
Join condition: None

(102) Project [codegen id : 2]
Output [2]: [cr_return_amount#171, cr_net_loss#172]
Input [4]: [cr_return_amount#171, cr_net_loss#172, cr_returned_date_sk#173, d_date_sk#174]

(103) HashAggregate [codegen id : 2]
Input [2]: [cr_return_amount#171, cr_net_loss#172]
Keys: []
Functions [2]: [partial_sum(UnscaledValue(cr_return_amount#171)), partial_sum(UnscaledValue(cr_net_loss#172))]
Aggregate Attributes [2]: [sum#175, sum#176]
Results [2]: [sum#177, sum#178]

(104) Exchange
Input [2]: [sum#177, sum#178]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=17]

(105) HashAggregate [codegen id : 3]
Input [2]: [sum#177, sum#178]
Keys: []
Functions [2]: [sum(UnscaledValue(cr_return_amount#171)), sum(UnscaledValue(cr_net_loss#172))]
Aggregate Attributes [2]: [sum(UnscaledValue(cr_return_amount#171))#179, sum(UnscaledValue(cr_net_loss#172))#180]
Results [2]: [MakeDecimal(sum(UnscaledValue(cr_return_amount#171))#179,17,2) AS returns#48, MakeDecimal(sum(UnscaledValue(cr_net_loss#172))#180,17,2) AS profit_loss#49]

(106) Project [codegen id : 3]
Output [1]: [named_struct(returns, returns#48, profit_loss, profit_loss#49) AS mergedValue#181]
Input [2]: [returns#48, profit_loss#49]

Subquery:5 Hosting operator id = 98 Hosting Expression = cr_returned_date_sk#173 IN dynamicpruning#5

Subquery:6 Hosting operator id = 41 Hosting Expression = ReusedSubquery Subquery scalar-subquery#47, [id=#7]

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


