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explain.txt
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explain.txt
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== Physical Plan ==
TakeOrderedAndProject (124)
+- * HashAggregate (123)
+- Exchange (122)
+- * HashAggregate (121)
+- Union (120)
:- * HashAggregate (109)
: +- Exchange (108)
: +- * HashAggregate (107)
: +- Union (106)
: :- * HashAggregate (43)
: : +- Exchange (42)
: : +- * HashAggregate (41)
: : +- * Project (40)
: : +- * BroadcastHashJoin Inner BuildRight (39)
: : :- * Project (34)
: : : +- * BroadcastHashJoin Inner BuildRight (33)
: : : :- * Project (27)
: : : : +- * BroadcastHashJoin Inner BuildRight (26)
: : : : :- * Project (20)
: : : : : +- * BroadcastHashJoin Inner BuildRight (19)
: : : : : :- * Project (13)
: : : : : : +- SortMergeJoin LeftOuter (12)
: : : : : : :- * Sort (5)
: : : : : : : +- Exchange (4)
: : : : : : : +- * Filter (3)
: : : : : : : +- * ColumnarToRow (2)
: : : : : : : +- Scan parquet default.store_sales (1)
: : : : : : +- * Sort (11)
: : : : : : +- Exchange (10)
: : : : : : +- * Project (9)
: : : : : : +- * Filter (8)
: : : : : : +- * ColumnarToRow (7)
: : : : : : +- Scan parquet default.store_returns (6)
: : : : : +- BroadcastExchange (18)
: : : : : +- * Project (17)
: : : : : +- * Filter (16)
: : : : : +- * ColumnarToRow (15)
: : : : : +- Scan parquet default.item (14)
: : : : +- BroadcastExchange (25)
: : : : +- * Project (24)
: : : : +- * Filter (23)
: : : : +- * ColumnarToRow (22)
: : : : +- Scan parquet default.promotion (21)
: : : +- BroadcastExchange (32)
: : : +- * Project (31)
: : : +- * Filter (30)
: : : +- * ColumnarToRow (29)
: : : +- Scan parquet default.date_dim (28)
: : +- BroadcastExchange (38)
: : +- * Filter (37)
: : +- * ColumnarToRow (36)
: : +- Scan parquet default.store (35)
: :- * HashAggregate (74)
: : +- Exchange (73)
: : +- * HashAggregate (72)
: : +- * Project (71)
: : +- * BroadcastHashJoin Inner BuildRight (70)
: : :- * Project (65)
: : : +- * BroadcastHashJoin Inner BuildRight (64)
: : : :- * Project (62)
: : : : +- * BroadcastHashJoin Inner BuildRight (61)
: : : : :- * Project (59)
: : : : : +- * BroadcastHashJoin Inner BuildRight (58)
: : : : : :- * Project (56)
: : : : : : +- SortMergeJoin LeftOuter (55)
: : : : : : :- * Sort (48)
: : : : : : : +- Exchange (47)
: : : : : : : +- * Filter (46)
: : : : : : : +- * ColumnarToRow (45)
: : : : : : : +- Scan parquet default.catalog_sales (44)
: : : : : : +- * Sort (54)
: : : : : : +- Exchange (53)
: : : : : : +- * Project (52)
: : : : : : +- * Filter (51)
: : : : : : +- * ColumnarToRow (50)
: : : : : : +- Scan parquet default.catalog_returns (49)
: : : : : +- ReusedExchange (57)
: : : : +- ReusedExchange (60)
: : : +- ReusedExchange (63)
: : +- BroadcastExchange (69)
: : +- * Filter (68)
: : +- * ColumnarToRow (67)
: : +- Scan parquet default.catalog_page (66)
: +- * HashAggregate (105)
: +- Exchange (104)
: +- * HashAggregate (103)
: +- * Project (102)
: +- * BroadcastHashJoin Inner BuildRight (101)
: :- * Project (96)
: : +- * BroadcastHashJoin Inner BuildRight (95)
: : :- * Project (93)
: : : +- * BroadcastHashJoin Inner BuildRight (92)
: : : :- * Project (90)
: : : : +- * BroadcastHashJoin Inner BuildRight (89)
: : : : :- * Project (87)
: : : : : +- SortMergeJoin LeftOuter (86)
: : : : : :- * Sort (79)
: : : : : : +- Exchange (78)
: : : : : : +- * Filter (77)
: : : : : : +- * ColumnarToRow (76)
: : : : : : +- Scan parquet default.web_sales (75)
: : : : : +- * Sort (85)
: : : : : +- Exchange (84)
: : : : : +- * Project (83)
: : : : : +- * Filter (82)
: : : : : +- * ColumnarToRow (81)
: : : : : +- Scan parquet default.web_returns (80)
: : : : +- ReusedExchange (88)
: : : +- ReusedExchange (91)
: : +- ReusedExchange (94)
: +- BroadcastExchange (100)
: +- * Filter (99)
: +- * ColumnarToRow (98)
: +- Scan parquet default.web_site (97)
:- * HashAggregate (114)
: +- Exchange (113)
: +- * HashAggregate (112)
: +- * HashAggregate (111)
: +- ReusedExchange (110)
+- * HashAggregate (119)
+- Exchange (118)
+- * HashAggregate (117)
+- * HashAggregate (116)
+- ReusedExchange (115)
(1) Scan parquet default.store_sales
Output [7]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ss_sold_date_sk#7), dynamicpruningexpression(ss_sold_date_sk#7 IN dynamicpruning#8)]
PushedFilters: [IsNotNull(ss_store_sk), IsNotNull(ss_item_sk), IsNotNull(ss_promo_sk)]
ReadSchema: struct<ss_item_sk:int,ss_store_sk:int,ss_promo_sk:int,ss_ticket_number:int,ss_ext_sales_price:decimal(7,2),ss_net_profit:decimal(7,2)>
(2) ColumnarToRow [codegen id : 1]
Input [7]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]
(3) Filter [codegen id : 1]
Input [7]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]
Condition : ((isnotnull(ss_store_sk#2) AND isnotnull(ss_item_sk#1)) AND isnotnull(ss_promo_sk#3))
(4) Exchange
Input [7]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]
Arguments: hashpartitioning(cast(ss_item_sk#1 as bigint), cast(ss_ticket_number#4 as bigint), 5), ENSURE_REQUIREMENTS, [id=#9]
(5) Sort [codegen id : 2]
Input [7]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7]
Arguments: [cast(ss_item_sk#1 as bigint) ASC NULLS FIRST, cast(ss_ticket_number#4 as bigint) ASC NULLS FIRST], false, 0
(6) Scan parquet default.store_returns
Output [5]: [sr_item_sk#10, sr_ticket_number#11, sr_return_amt#12, sr_net_loss#13, sr_returned_date_sk#14]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store_returns]
PushedFilters: [IsNotNull(sr_item_sk), IsNotNull(sr_ticket_number)]
ReadSchema: struct<sr_item_sk:bigint,sr_ticket_number:bigint,sr_return_amt:decimal(7,2),sr_net_loss:decimal(7,2)>
(7) ColumnarToRow [codegen id : 3]
Input [5]: [sr_item_sk#10, sr_ticket_number#11, sr_return_amt#12, sr_net_loss#13, sr_returned_date_sk#14]
(8) Filter [codegen id : 3]
Input [5]: [sr_item_sk#10, sr_ticket_number#11, sr_return_amt#12, sr_net_loss#13, sr_returned_date_sk#14]
Condition : (isnotnull(sr_item_sk#10) AND isnotnull(sr_ticket_number#11))
(9) Project [codegen id : 3]
Output [4]: [sr_item_sk#10, sr_ticket_number#11, sr_return_amt#12, sr_net_loss#13]
Input [5]: [sr_item_sk#10, sr_ticket_number#11, sr_return_amt#12, sr_net_loss#13, sr_returned_date_sk#14]
(10) Exchange
Input [4]: [sr_item_sk#10, sr_ticket_number#11, sr_return_amt#12, sr_net_loss#13]
Arguments: hashpartitioning(sr_item_sk#10, sr_ticket_number#11, 5), ENSURE_REQUIREMENTS, [id=#15]
(11) Sort [codegen id : 4]
Input [4]: [sr_item_sk#10, sr_ticket_number#11, sr_return_amt#12, sr_net_loss#13]
Arguments: [sr_item_sk#10 ASC NULLS FIRST, sr_ticket_number#11 ASC NULLS FIRST], false, 0
(12) SortMergeJoin
Left keys [2]: [cast(ss_item_sk#1 as bigint), cast(ss_ticket_number#4 as bigint)]
Right keys [2]: [sr_item_sk#10, sr_ticket_number#11]
Join condition: None
(13) Project [codegen id : 9]
Output [8]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7, sr_return_amt#12, sr_net_loss#13]
Input [11]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ticket_number#4, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7, sr_item_sk#10, sr_ticket_number#11, sr_return_amt#12, sr_net_loss#13]
(14) Scan parquet default.item
Output [2]: [i_item_sk#16, i_current_price#17]
Batched: true
Location [not included in comparison]/{warehouse_dir}/item]
PushedFilters: [IsNotNull(i_current_price), GreaterThan(i_current_price,50.00), IsNotNull(i_item_sk)]
ReadSchema: struct<i_item_sk:int,i_current_price:decimal(7,2)>
(15) ColumnarToRow [codegen id : 5]
Input [2]: [i_item_sk#16, i_current_price#17]
(16) Filter [codegen id : 5]
Input [2]: [i_item_sk#16, i_current_price#17]
Condition : ((isnotnull(i_current_price#17) AND (i_current_price#17 > 50.00)) AND isnotnull(i_item_sk#16))
(17) Project [codegen id : 5]
Output [1]: [i_item_sk#16]
Input [2]: [i_item_sk#16, i_current_price#17]
(18) BroadcastExchange
Input [1]: [i_item_sk#16]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#18]
(19) BroadcastHashJoin [codegen id : 9]
Left keys [1]: [ss_item_sk#1]
Right keys [1]: [i_item_sk#16]
Join condition: None
(20) Project [codegen id : 9]
Output [7]: [ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7, sr_return_amt#12, sr_net_loss#13]
Input [9]: [ss_item_sk#1, ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7, sr_return_amt#12, sr_net_loss#13, i_item_sk#16]
(21) Scan parquet default.promotion
Output [2]: [p_promo_sk#19, p_channel_tv#20]
Batched: true
Location [not included in comparison]/{warehouse_dir}/promotion]
PushedFilters: [IsNotNull(p_channel_tv), EqualTo(p_channel_tv,N), IsNotNull(p_promo_sk)]
ReadSchema: struct<p_promo_sk:int,p_channel_tv:string>
(22) ColumnarToRow [codegen id : 6]
Input [2]: [p_promo_sk#19, p_channel_tv#20]
(23) Filter [codegen id : 6]
Input [2]: [p_promo_sk#19, p_channel_tv#20]
Condition : ((isnotnull(p_channel_tv#20) AND (p_channel_tv#20 = N)) AND isnotnull(p_promo_sk#19))
(24) Project [codegen id : 6]
Output [1]: [p_promo_sk#19]
Input [2]: [p_promo_sk#19, p_channel_tv#20]
(25) BroadcastExchange
Input [1]: [p_promo_sk#19]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#21]
(26) BroadcastHashJoin [codegen id : 9]
Left keys [1]: [ss_promo_sk#3]
Right keys [1]: [p_promo_sk#19]
Join condition: None
(27) Project [codegen id : 9]
Output [6]: [ss_store_sk#2, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7, sr_return_amt#12, sr_net_loss#13]
Input [8]: [ss_store_sk#2, ss_promo_sk#3, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7, sr_return_amt#12, sr_net_loss#13, p_promo_sk#19]
(28) Scan parquet default.date_dim
Output [2]: [d_date_sk#22, d_date#23]
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>
(29) ColumnarToRow [codegen id : 7]
Input [2]: [d_date_sk#22, d_date#23]
(30) Filter [codegen id : 7]
Input [2]: [d_date_sk#22, d_date#23]
Condition : (((isnotnull(d_date#23) AND (d_date#23 >= 1998-08-04)) AND (d_date#23 <= 1998-09-03)) AND isnotnull(d_date_sk#22))
(31) Project [codegen id : 7]
Output [1]: [d_date_sk#22]
Input [2]: [d_date_sk#22, d_date#23]
(32) BroadcastExchange
Input [1]: [d_date_sk#22]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#24]
(33) BroadcastHashJoin [codegen id : 9]
Left keys [1]: [ss_sold_date_sk#7]
Right keys [1]: [d_date_sk#22]
Join condition: None
(34) Project [codegen id : 9]
Output [5]: [ss_store_sk#2, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#12, sr_net_loss#13]
Input [7]: [ss_store_sk#2, ss_ext_sales_price#5, ss_net_profit#6, ss_sold_date_sk#7, sr_return_amt#12, sr_net_loss#13, d_date_sk#22]
(35) Scan parquet default.store
Output [2]: [s_store_sk#25, s_store_id#26]
Batched: true
Location [not included in comparison]/{warehouse_dir}/store]
PushedFilters: [IsNotNull(s_store_sk)]
ReadSchema: struct<s_store_sk:int,s_store_id:string>
(36) ColumnarToRow [codegen id : 8]
Input [2]: [s_store_sk#25, s_store_id#26]
(37) Filter [codegen id : 8]
Input [2]: [s_store_sk#25, s_store_id#26]
Condition : isnotnull(s_store_sk#25)
(38) BroadcastExchange
Input [2]: [s_store_sk#25, s_store_id#26]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [id=#27]
(39) BroadcastHashJoin [codegen id : 9]
Left keys [1]: [ss_store_sk#2]
Right keys [1]: [s_store_sk#25]
Join condition: None
(40) Project [codegen id : 9]
Output [5]: [ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#12, sr_net_loss#13, s_store_id#26]
Input [7]: [ss_store_sk#2, ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#12, sr_net_loss#13, s_store_sk#25, s_store_id#26]
(41) HashAggregate [codegen id : 9]
Input [5]: [ss_ext_sales_price#5, ss_net_profit#6, sr_return_amt#12, sr_net_loss#13, s_store_id#26]
Keys [1]: [s_store_id#26]
Functions [3]: [partial_sum(UnscaledValue(ss_ext_sales_price#5)), partial_sum(coalesce(cast(sr_return_amt#12 as decimal(12,2)), 0.00)), partial_sum(CheckOverflow((promote_precision(cast(ss_net_profit#6 as decimal(13,2))) - promote_precision(cast(coalesce(cast(sr_net_loss#13 as decimal(12,2)), 0.00) as decimal(13,2)))), DecimalType(13,2), true))]
Aggregate Attributes [5]: [sum#28, sum#29, isEmpty#30, sum#31, isEmpty#32]
Results [6]: [s_store_id#26, sum#33, sum#34, isEmpty#35, sum#36, isEmpty#37]
(42) Exchange
Input [6]: [s_store_id#26, sum#33, sum#34, isEmpty#35, sum#36, isEmpty#37]
Arguments: hashpartitioning(s_store_id#26, 5), ENSURE_REQUIREMENTS, [id=#38]
(43) HashAggregate [codegen id : 10]
Input [6]: [s_store_id#26, sum#33, sum#34, isEmpty#35, sum#36, isEmpty#37]
Keys [1]: [s_store_id#26]
Functions [3]: [sum(UnscaledValue(ss_ext_sales_price#5)), sum(coalesce(cast(sr_return_amt#12 as decimal(12,2)), 0.00)), sum(CheckOverflow((promote_precision(cast(ss_net_profit#6 as decimal(13,2))) - promote_precision(cast(coalesce(cast(sr_net_loss#13 as decimal(12,2)), 0.00) as decimal(13,2)))), DecimalType(13,2), true))]
Aggregate Attributes [3]: [sum(UnscaledValue(ss_ext_sales_price#5))#39, sum(coalesce(cast(sr_return_amt#12 as decimal(12,2)), 0.00))#40, sum(CheckOverflow((promote_precision(cast(ss_net_profit#6 as decimal(13,2))) - promote_precision(cast(coalesce(cast(sr_net_loss#13 as decimal(12,2)), 0.00) as decimal(13,2)))), DecimalType(13,2), true))#41]
Results [5]: [store channel AS channel#42, concat(store, s_store_id#26) AS id#43, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#5))#39,17,2) AS sales#44, sum(coalesce(cast(sr_return_amt#12 as decimal(12,2)), 0.00))#40 AS returns#45, sum(CheckOverflow((promote_precision(cast(ss_net_profit#6 as decimal(13,2))) - promote_precision(cast(coalesce(cast(sr_net_loss#13 as decimal(12,2)), 0.00) as decimal(13,2)))), DecimalType(13,2), true))#41 AS profit#46]
(44) Scan parquet default.catalog_sales
Output [7]: [cs_catalog_page_sk#47, cs_item_sk#48, cs_promo_sk#49, cs_order_number#50, cs_ext_sales_price#51, cs_net_profit#52, cs_sold_date_sk#53]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(cs_sold_date_sk#53), dynamicpruningexpression(cs_sold_date_sk#53 IN dynamicpruning#8)]
PushedFilters: [IsNotNull(cs_catalog_page_sk), IsNotNull(cs_item_sk), IsNotNull(cs_promo_sk)]
ReadSchema: struct<cs_catalog_page_sk:int,cs_item_sk:int,cs_promo_sk:int,cs_order_number:int,cs_ext_sales_price:decimal(7,2),cs_net_profit:decimal(7,2)>
(45) ColumnarToRow [codegen id : 11]
Input [7]: [cs_catalog_page_sk#47, cs_item_sk#48, cs_promo_sk#49, cs_order_number#50, cs_ext_sales_price#51, cs_net_profit#52, cs_sold_date_sk#53]
(46) Filter [codegen id : 11]
Input [7]: [cs_catalog_page_sk#47, cs_item_sk#48, cs_promo_sk#49, cs_order_number#50, cs_ext_sales_price#51, cs_net_profit#52, cs_sold_date_sk#53]
Condition : ((isnotnull(cs_catalog_page_sk#47) AND isnotnull(cs_item_sk#48)) AND isnotnull(cs_promo_sk#49))
(47) Exchange
Input [7]: [cs_catalog_page_sk#47, cs_item_sk#48, cs_promo_sk#49, cs_order_number#50, cs_ext_sales_price#51, cs_net_profit#52, cs_sold_date_sk#53]
Arguments: hashpartitioning(cs_item_sk#48, cs_order_number#50, 5), ENSURE_REQUIREMENTS, [id=#54]
(48) Sort [codegen id : 12]
Input [7]: [cs_catalog_page_sk#47, cs_item_sk#48, cs_promo_sk#49, cs_order_number#50, cs_ext_sales_price#51, cs_net_profit#52, cs_sold_date_sk#53]
Arguments: [cs_item_sk#48 ASC NULLS FIRST, cs_order_number#50 ASC NULLS FIRST], false, 0
(49) Scan parquet default.catalog_returns
Output [5]: [cr_item_sk#55, cr_order_number#56, cr_return_amount#57, cr_net_loss#58, cr_returned_date_sk#59]
Batched: true
Location [not included in comparison]/{warehouse_dir}/catalog_returns]
PushedFilters: [IsNotNull(cr_item_sk), IsNotNull(cr_order_number)]
ReadSchema: struct<cr_item_sk:int,cr_order_number:int,cr_return_amount:decimal(7,2),cr_net_loss:decimal(7,2)>
(50) ColumnarToRow [codegen id : 13]
Input [5]: [cr_item_sk#55, cr_order_number#56, cr_return_amount#57, cr_net_loss#58, cr_returned_date_sk#59]
(51) Filter [codegen id : 13]
Input [5]: [cr_item_sk#55, cr_order_number#56, cr_return_amount#57, cr_net_loss#58, cr_returned_date_sk#59]
Condition : (isnotnull(cr_item_sk#55) AND isnotnull(cr_order_number#56))
(52) Project [codegen id : 13]
Output [4]: [cr_item_sk#55, cr_order_number#56, cr_return_amount#57, cr_net_loss#58]
Input [5]: [cr_item_sk#55, cr_order_number#56, cr_return_amount#57, cr_net_loss#58, cr_returned_date_sk#59]
(53) Exchange
Input [4]: [cr_item_sk#55, cr_order_number#56, cr_return_amount#57, cr_net_loss#58]
Arguments: hashpartitioning(cr_item_sk#55, cr_order_number#56, 5), ENSURE_REQUIREMENTS, [id=#60]
(54) Sort [codegen id : 14]
Input [4]: [cr_item_sk#55, cr_order_number#56, cr_return_amount#57, cr_net_loss#58]
Arguments: [cr_item_sk#55 ASC NULLS FIRST, cr_order_number#56 ASC NULLS FIRST], false, 0
(55) SortMergeJoin
Left keys [2]: [cs_item_sk#48, cs_order_number#50]
Right keys [2]: [cr_item_sk#55, cr_order_number#56]
Join condition: None
(56) Project [codegen id : 19]
Output [8]: [cs_catalog_page_sk#47, cs_item_sk#48, cs_promo_sk#49, cs_ext_sales_price#51, cs_net_profit#52, cs_sold_date_sk#53, cr_return_amount#57, cr_net_loss#58]
Input [11]: [cs_catalog_page_sk#47, cs_item_sk#48, cs_promo_sk#49, cs_order_number#50, cs_ext_sales_price#51, cs_net_profit#52, cs_sold_date_sk#53, cr_item_sk#55, cr_order_number#56, cr_return_amount#57, cr_net_loss#58]
(57) ReusedExchange [Reuses operator id: 18]
Output [1]: [i_item_sk#61]
(58) BroadcastHashJoin [codegen id : 19]
Left keys [1]: [cs_item_sk#48]
Right keys [1]: [i_item_sk#61]
Join condition: None
(59) Project [codegen id : 19]
Output [7]: [cs_catalog_page_sk#47, cs_promo_sk#49, cs_ext_sales_price#51, cs_net_profit#52, cs_sold_date_sk#53, cr_return_amount#57, cr_net_loss#58]
Input [9]: [cs_catalog_page_sk#47, cs_item_sk#48, cs_promo_sk#49, cs_ext_sales_price#51, cs_net_profit#52, cs_sold_date_sk#53, cr_return_amount#57, cr_net_loss#58, i_item_sk#61]
(60) ReusedExchange [Reuses operator id: 25]
Output [1]: [p_promo_sk#62]
(61) BroadcastHashJoin [codegen id : 19]
Left keys [1]: [cs_promo_sk#49]
Right keys [1]: [p_promo_sk#62]
Join condition: None
(62) Project [codegen id : 19]
Output [6]: [cs_catalog_page_sk#47, cs_ext_sales_price#51, cs_net_profit#52, cs_sold_date_sk#53, cr_return_amount#57, cr_net_loss#58]
Input [8]: [cs_catalog_page_sk#47, cs_promo_sk#49, cs_ext_sales_price#51, cs_net_profit#52, cs_sold_date_sk#53, cr_return_amount#57, cr_net_loss#58, p_promo_sk#62]
(63) ReusedExchange [Reuses operator id: 32]
Output [1]: [d_date_sk#63]
(64) BroadcastHashJoin [codegen id : 19]
Left keys [1]: [cs_sold_date_sk#53]
Right keys [1]: [d_date_sk#63]
Join condition: None
(65) Project [codegen id : 19]
Output [5]: [cs_catalog_page_sk#47, cs_ext_sales_price#51, cs_net_profit#52, cr_return_amount#57, cr_net_loss#58]
Input [7]: [cs_catalog_page_sk#47, cs_ext_sales_price#51, cs_net_profit#52, cs_sold_date_sk#53, cr_return_amount#57, cr_net_loss#58, d_date_sk#63]
(66) Scan parquet default.catalog_page
Output [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65]
Batched: true
Location [not included in comparison]/{warehouse_dir}/catalog_page]
PushedFilters: [IsNotNull(cp_catalog_page_sk)]
ReadSchema: struct<cp_catalog_page_sk:int,cp_catalog_page_id:string>
(67) ColumnarToRow [codegen id : 18]
Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65]
(68) Filter [codegen id : 18]
Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65]
Condition : isnotnull(cp_catalog_page_sk#64)
(69) BroadcastExchange
Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [id=#66]
(70) BroadcastHashJoin [codegen id : 19]
Left keys [1]: [cs_catalog_page_sk#47]
Right keys [1]: [cp_catalog_page_sk#64]
Join condition: None
(71) Project [codegen id : 19]
Output [5]: [cs_ext_sales_price#51, cs_net_profit#52, cr_return_amount#57, cr_net_loss#58, cp_catalog_page_id#65]
Input [7]: [cs_catalog_page_sk#47, cs_ext_sales_price#51, cs_net_profit#52, cr_return_amount#57, cr_net_loss#58, cp_catalog_page_sk#64, cp_catalog_page_id#65]
(72) HashAggregate [codegen id : 19]
Input [5]: [cs_ext_sales_price#51, cs_net_profit#52, cr_return_amount#57, cr_net_loss#58, cp_catalog_page_id#65]
Keys [1]: [cp_catalog_page_id#65]
Functions [3]: [partial_sum(UnscaledValue(cs_ext_sales_price#51)), partial_sum(coalesce(cast(cr_return_amount#57 as decimal(12,2)), 0.00)), partial_sum(CheckOverflow((promote_precision(cast(cs_net_profit#52 as decimal(13,2))) - promote_precision(cast(coalesce(cast(cr_net_loss#58 as decimal(12,2)), 0.00) as decimal(13,2)))), DecimalType(13,2), true))]
Aggregate Attributes [5]: [sum#67, sum#68, isEmpty#69, sum#70, isEmpty#71]
Results [6]: [cp_catalog_page_id#65, sum#72, sum#73, isEmpty#74, sum#75, isEmpty#76]
(73) Exchange
Input [6]: [cp_catalog_page_id#65, sum#72, sum#73, isEmpty#74, sum#75, isEmpty#76]
Arguments: hashpartitioning(cp_catalog_page_id#65, 5), ENSURE_REQUIREMENTS, [id=#77]
(74) HashAggregate [codegen id : 20]
Input [6]: [cp_catalog_page_id#65, sum#72, sum#73, isEmpty#74, sum#75, isEmpty#76]
Keys [1]: [cp_catalog_page_id#65]
Functions [3]: [sum(UnscaledValue(cs_ext_sales_price#51)), sum(coalesce(cast(cr_return_amount#57 as decimal(12,2)), 0.00)), sum(CheckOverflow((promote_precision(cast(cs_net_profit#52 as decimal(13,2))) - promote_precision(cast(coalesce(cast(cr_net_loss#58 as decimal(12,2)), 0.00) as decimal(13,2)))), DecimalType(13,2), true))]
Aggregate Attributes [3]: [sum(UnscaledValue(cs_ext_sales_price#51))#78, sum(coalesce(cast(cr_return_amount#57 as decimal(12,2)), 0.00))#79, sum(CheckOverflow((promote_precision(cast(cs_net_profit#52 as decimal(13,2))) - promote_precision(cast(coalesce(cast(cr_net_loss#58 as decimal(12,2)), 0.00) as decimal(13,2)))), DecimalType(13,2), true))#80]
Results [5]: [catalog channel AS channel#81, concat(catalog_page, cp_catalog_page_id#65) AS id#82, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#51))#78,17,2) AS sales#83, sum(coalesce(cast(cr_return_amount#57 as decimal(12,2)), 0.00))#79 AS returns#84, sum(CheckOverflow((promote_precision(cast(cs_net_profit#52 as decimal(13,2))) - promote_precision(cast(coalesce(cast(cr_net_loss#58 as decimal(12,2)), 0.00) as decimal(13,2)))), DecimalType(13,2), true))#80 AS profit#85]
(75) Scan parquet default.web_sales
Output [7]: [ws_item_sk#86, ws_web_site_sk#87, ws_promo_sk#88, ws_order_number#89, ws_ext_sales_price#90, ws_net_profit#91, ws_sold_date_sk#92]
Batched: true
Location: InMemoryFileIndex []
PartitionFilters: [isnotnull(ws_sold_date_sk#92), dynamicpruningexpression(ws_sold_date_sk#92 IN dynamicpruning#8)]
PushedFilters: [IsNotNull(ws_web_site_sk), IsNotNull(ws_item_sk), IsNotNull(ws_promo_sk)]
ReadSchema: struct<ws_item_sk:int,ws_web_site_sk:int,ws_promo_sk:int,ws_order_number:int,ws_ext_sales_price:decimal(7,2),ws_net_profit:decimal(7,2)>
(76) ColumnarToRow [codegen id : 21]
Input [7]: [ws_item_sk#86, ws_web_site_sk#87, ws_promo_sk#88, ws_order_number#89, ws_ext_sales_price#90, ws_net_profit#91, ws_sold_date_sk#92]
(77) Filter [codegen id : 21]
Input [7]: [ws_item_sk#86, ws_web_site_sk#87, ws_promo_sk#88, ws_order_number#89, ws_ext_sales_price#90, ws_net_profit#91, ws_sold_date_sk#92]
Condition : ((isnotnull(ws_web_site_sk#87) AND isnotnull(ws_item_sk#86)) AND isnotnull(ws_promo_sk#88))
(78) Exchange
Input [7]: [ws_item_sk#86, ws_web_site_sk#87, ws_promo_sk#88, ws_order_number#89, ws_ext_sales_price#90, ws_net_profit#91, ws_sold_date_sk#92]
Arguments: hashpartitioning(cast(ws_item_sk#86 as bigint), cast(ws_order_number#89 as bigint), 5), ENSURE_REQUIREMENTS, [id=#93]
(79) Sort [codegen id : 22]
Input [7]: [ws_item_sk#86, ws_web_site_sk#87, ws_promo_sk#88, ws_order_number#89, ws_ext_sales_price#90, ws_net_profit#91, ws_sold_date_sk#92]
Arguments: [cast(ws_item_sk#86 as bigint) ASC NULLS FIRST, cast(ws_order_number#89 as bigint) ASC NULLS FIRST], false, 0
(80) Scan parquet default.web_returns
Output [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98]
Batched: true
Location [not included in comparison]/{warehouse_dir}/web_returns]
PushedFilters: [IsNotNull(wr_item_sk), IsNotNull(wr_order_number)]
ReadSchema: struct<wr_item_sk:bigint,wr_order_number:bigint,wr_return_amt:decimal(7,2),wr_net_loss:decimal(7,2)>
(81) ColumnarToRow [codegen id : 23]
Input [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98]
(82) Filter [codegen id : 23]
Input [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98]
Condition : (isnotnull(wr_item_sk#94) AND isnotnull(wr_order_number#95))
(83) Project [codegen id : 23]
Output [4]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97]
Input [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98]
(84) Exchange
Input [4]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97]
Arguments: hashpartitioning(wr_item_sk#94, wr_order_number#95, 5), ENSURE_REQUIREMENTS, [id=#99]
(85) Sort [codegen id : 24]
Input [4]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97]
Arguments: [wr_item_sk#94 ASC NULLS FIRST, wr_order_number#95 ASC NULLS FIRST], false, 0
(86) SortMergeJoin
Left keys [2]: [cast(ws_item_sk#86 as bigint), cast(ws_order_number#89 as bigint)]
Right keys [2]: [wr_item_sk#94, wr_order_number#95]
Join condition: None
(87) Project [codegen id : 29]
Output [8]: [ws_item_sk#86, ws_web_site_sk#87, ws_promo_sk#88, ws_ext_sales_price#90, ws_net_profit#91, ws_sold_date_sk#92, wr_return_amt#96, wr_net_loss#97]
Input [11]: [ws_item_sk#86, ws_web_site_sk#87, ws_promo_sk#88, ws_order_number#89, ws_ext_sales_price#90, ws_net_profit#91, ws_sold_date_sk#92, wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97]
(88) ReusedExchange [Reuses operator id: 18]
Output [1]: [i_item_sk#100]
(89) BroadcastHashJoin [codegen id : 29]
Left keys [1]: [ws_item_sk#86]
Right keys [1]: [i_item_sk#100]
Join condition: None
(90) Project [codegen id : 29]
Output [7]: [ws_web_site_sk#87, ws_promo_sk#88, ws_ext_sales_price#90, ws_net_profit#91, ws_sold_date_sk#92, wr_return_amt#96, wr_net_loss#97]
Input [9]: [ws_item_sk#86, ws_web_site_sk#87, ws_promo_sk#88, ws_ext_sales_price#90, ws_net_profit#91, ws_sold_date_sk#92, wr_return_amt#96, wr_net_loss#97, i_item_sk#100]
(91) ReusedExchange [Reuses operator id: 25]
Output [1]: [p_promo_sk#101]
(92) BroadcastHashJoin [codegen id : 29]
Left keys [1]: [ws_promo_sk#88]
Right keys [1]: [p_promo_sk#101]
Join condition: None
(93) Project [codegen id : 29]
Output [6]: [ws_web_site_sk#87, ws_ext_sales_price#90, ws_net_profit#91, ws_sold_date_sk#92, wr_return_amt#96, wr_net_loss#97]
Input [8]: [ws_web_site_sk#87, ws_promo_sk#88, ws_ext_sales_price#90, ws_net_profit#91, ws_sold_date_sk#92, wr_return_amt#96, wr_net_loss#97, p_promo_sk#101]
(94) ReusedExchange [Reuses operator id: 32]
Output [1]: [d_date_sk#102]
(95) BroadcastHashJoin [codegen id : 29]
Left keys [1]: [ws_sold_date_sk#92]
Right keys [1]: [d_date_sk#102]
Join condition: None
(96) Project [codegen id : 29]
Output [5]: [ws_web_site_sk#87, ws_ext_sales_price#90, ws_net_profit#91, wr_return_amt#96, wr_net_loss#97]
Input [7]: [ws_web_site_sk#87, ws_ext_sales_price#90, ws_net_profit#91, ws_sold_date_sk#92, wr_return_amt#96, wr_net_loss#97, d_date_sk#102]
(97) Scan parquet default.web_site
Output [2]: [web_site_sk#103, web_site_id#104]
Batched: true
Location [not included in comparison]/{warehouse_dir}/web_site]
PushedFilters: [IsNotNull(web_site_sk)]
ReadSchema: struct<web_site_sk:int,web_site_id:string>
(98) ColumnarToRow [codegen id : 28]
Input [2]: [web_site_sk#103, web_site_id#104]
(99) Filter [codegen id : 28]
Input [2]: [web_site_sk#103, web_site_id#104]
Condition : isnotnull(web_site_sk#103)
(100) BroadcastExchange
Input [2]: [web_site_sk#103, web_site_id#104]
Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [id=#105]
(101) BroadcastHashJoin [codegen id : 29]
Left keys [1]: [ws_web_site_sk#87]
Right keys [1]: [web_site_sk#103]
Join condition: None
(102) Project [codegen id : 29]
Output [5]: [ws_ext_sales_price#90, ws_net_profit#91, wr_return_amt#96, wr_net_loss#97, web_site_id#104]
Input [7]: [ws_web_site_sk#87, ws_ext_sales_price#90, ws_net_profit#91, wr_return_amt#96, wr_net_loss#97, web_site_sk#103, web_site_id#104]
(103) HashAggregate [codegen id : 29]
Input [5]: [ws_ext_sales_price#90, ws_net_profit#91, wr_return_amt#96, wr_net_loss#97, web_site_id#104]
Keys [1]: [web_site_id#104]
Functions [3]: [partial_sum(UnscaledValue(ws_ext_sales_price#90)), partial_sum(coalesce(cast(wr_return_amt#96 as decimal(12,2)), 0.00)), partial_sum(CheckOverflow((promote_precision(cast(ws_net_profit#91 as decimal(13,2))) - promote_precision(cast(coalesce(cast(wr_net_loss#97 as decimal(12,2)), 0.00) as decimal(13,2)))), DecimalType(13,2), true))]
Aggregate Attributes [5]: [sum#106, sum#107, isEmpty#108, sum#109, isEmpty#110]
Results [6]: [web_site_id#104, sum#111, sum#112, isEmpty#113, sum#114, isEmpty#115]
(104) Exchange
Input [6]: [web_site_id#104, sum#111, sum#112, isEmpty#113, sum#114, isEmpty#115]
Arguments: hashpartitioning(web_site_id#104, 5), ENSURE_REQUIREMENTS, [id=#116]
(105) HashAggregate [codegen id : 30]
Input [6]: [web_site_id#104, sum#111, sum#112, isEmpty#113, sum#114, isEmpty#115]
Keys [1]: [web_site_id#104]
Functions [3]: [sum(UnscaledValue(ws_ext_sales_price#90)), sum(coalesce(cast(wr_return_amt#96 as decimal(12,2)), 0.00)), sum(CheckOverflow((promote_precision(cast(ws_net_profit#91 as decimal(13,2))) - promote_precision(cast(coalesce(cast(wr_net_loss#97 as decimal(12,2)), 0.00) as decimal(13,2)))), DecimalType(13,2), true))]
Aggregate Attributes [3]: [sum(UnscaledValue(ws_ext_sales_price#90))#117, sum(coalesce(cast(wr_return_amt#96 as decimal(12,2)), 0.00))#118, sum(CheckOverflow((promote_precision(cast(ws_net_profit#91 as decimal(13,2))) - promote_precision(cast(coalesce(cast(wr_net_loss#97 as decimal(12,2)), 0.00) as decimal(13,2)))), DecimalType(13,2), true))#119]
Results [5]: [web channel AS channel#120, concat(web_site, web_site_id#104) AS id#121, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#90))#117,17,2) AS sales#122, sum(coalesce(cast(wr_return_amt#96 as decimal(12,2)), 0.00))#118 AS returns#123, sum(CheckOverflow((promote_precision(cast(ws_net_profit#91 as decimal(13,2))) - promote_precision(cast(coalesce(cast(wr_net_loss#97 as decimal(12,2)), 0.00) as decimal(13,2)))), DecimalType(13,2), true))#119 AS profit#124]
(106) Union
(107) HashAggregate [codegen id : 31]
Input [5]: [channel#42, id#43, sales#44, returns#45, profit#46]
Keys [2]: [channel#42, id#43]
Functions [3]: [partial_sum(sales#44), partial_sum(returns#45), partial_sum(profit#46)]
Aggregate Attributes [6]: [sum#125, isEmpty#126, sum#127, isEmpty#128, sum#129, isEmpty#130]
Results [8]: [channel#42, id#43, sum#131, isEmpty#132, sum#133, isEmpty#134, sum#135, isEmpty#136]
(108) Exchange
Input [8]: [channel#42, id#43, sum#131, isEmpty#132, sum#133, isEmpty#134, sum#135, isEmpty#136]
Arguments: hashpartitioning(channel#42, id#43, 5), ENSURE_REQUIREMENTS, [id=#137]
(109) HashAggregate [codegen id : 32]
Input [8]: [channel#42, id#43, sum#131, isEmpty#132, sum#133, isEmpty#134, sum#135, isEmpty#136]
Keys [2]: [channel#42, id#43]
Functions [3]: [sum(sales#44), sum(returns#45), sum(profit#46)]
Aggregate Attributes [3]: [sum(sales#44)#138, sum(returns#45)#139, sum(profit#46)#140]
Results [5]: [channel#42, id#43, cast(sum(sales#44)#138 as decimal(37,2)) AS sales#141, cast(sum(returns#45)#139 as decimal(38,2)) AS returns#142, cast(sum(profit#46)#140 as decimal(38,2)) AS profit#143]
(110) ReusedExchange [Reuses operator id: unknown]
Output [8]: [channel#42, id#43, sum#144, isEmpty#145, sum#146, isEmpty#147, sum#148, isEmpty#149]
(111) HashAggregate [codegen id : 64]
Input [8]: [channel#42, id#43, sum#144, isEmpty#145, sum#146, isEmpty#147, sum#148, isEmpty#149]
Keys [2]: [channel#42, id#43]
Functions [3]: [sum(sales#44), sum(returns#45), sum(profit#46)]
Aggregate Attributes [3]: [sum(sales#44)#150, sum(returns#45)#151, sum(profit#46)#152]
Results [4]: [channel#42, sum(sales#44)#150 AS sales#153, sum(returns#45)#151 AS returns#154, sum(profit#46)#152 AS profit#155]
(112) HashAggregate [codegen id : 64]
Input [4]: [channel#42, sales#153, returns#154, profit#155]
Keys [1]: [channel#42]
Functions [3]: [partial_sum(sales#153), partial_sum(returns#154), partial_sum(profit#155)]
Aggregate Attributes [6]: [sum#156, isEmpty#157, sum#158, isEmpty#159, sum#160, isEmpty#161]
Results [7]: [channel#42, sum#162, isEmpty#163, sum#164, isEmpty#165, sum#166, isEmpty#167]
(113) Exchange
Input [7]: [channel#42, sum#162, isEmpty#163, sum#164, isEmpty#165, sum#166, isEmpty#167]
Arguments: hashpartitioning(channel#42, 5), ENSURE_REQUIREMENTS, [id=#168]
(114) HashAggregate [codegen id : 65]
Input [7]: [channel#42, sum#162, isEmpty#163, sum#164, isEmpty#165, sum#166, isEmpty#167]
Keys [1]: [channel#42]
Functions [3]: [sum(sales#153), sum(returns#154), sum(profit#155)]
Aggregate Attributes [3]: [sum(sales#153)#169, sum(returns#154)#170, sum(profit#155)#171]
Results [5]: [channel#42, null AS id#172, sum(sales#153)#169 AS sales#173, sum(returns#154)#170 AS returns#174, sum(profit#155)#171 AS profit#175]
(115) ReusedExchange [Reuses operator id: unknown]
Output [8]: [channel#42, id#43, sum#176, isEmpty#177, sum#178, isEmpty#179, sum#180, isEmpty#181]
(116) HashAggregate [codegen id : 97]
Input [8]: [channel#42, id#43, sum#176, isEmpty#177, sum#178, isEmpty#179, sum#180, isEmpty#181]
Keys [2]: [channel#42, id#43]
Functions [3]: [sum(sales#44), sum(returns#45), sum(profit#46)]
Aggregate Attributes [3]: [sum(sales#44)#182, sum(returns#45)#183, sum(profit#46)#184]
Results [3]: [sum(sales#44)#182 AS sales#153, sum(returns#45)#183 AS returns#154, sum(profit#46)#184 AS profit#155]
(117) HashAggregate [codegen id : 97]
Input [3]: [sales#153, returns#154, profit#155]
Keys: []
Functions [3]: [partial_sum(sales#153), partial_sum(returns#154), partial_sum(profit#155)]
Aggregate Attributes [6]: [sum#185, isEmpty#186, sum#187, isEmpty#188, sum#189, isEmpty#190]
Results [6]: [sum#191, isEmpty#192, sum#193, isEmpty#194, sum#195, isEmpty#196]
(118) Exchange
Input [6]: [sum#191, isEmpty#192, sum#193, isEmpty#194, sum#195, isEmpty#196]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [id=#197]
(119) HashAggregate [codegen id : 98]
Input [6]: [sum#191, isEmpty#192, sum#193, isEmpty#194, sum#195, isEmpty#196]
Keys: []
Functions [3]: [sum(sales#153), sum(returns#154), sum(profit#155)]
Aggregate Attributes [3]: [sum(sales#153)#198, sum(returns#154)#199, sum(profit#155)#200]
Results [5]: [null AS channel#201, null AS id#202, sum(sales#153)#198 AS sales#203, sum(returns#154)#199 AS returns#204, sum(profit#155)#200 AS profit#205]
(120) Union
(121) HashAggregate [codegen id : 99]
Input [5]: [channel#42, id#43, sales#141, returns#142, profit#143]
Keys [5]: [channel#42, id#43, sales#141, returns#142, profit#143]
Functions: []
Aggregate Attributes: []
Results [5]: [channel#42, id#43, sales#141, returns#142, profit#143]
(122) Exchange
Input [5]: [channel#42, id#43, sales#141, returns#142, profit#143]
Arguments: hashpartitioning(channel#42, id#43, sales#141, returns#142, profit#143, 5), ENSURE_REQUIREMENTS, [id=#206]
(123) HashAggregate [codegen id : 100]
Input [5]: [channel#42, id#43, sales#141, returns#142, profit#143]
Keys [5]: [channel#42, id#43, sales#141, returns#142, profit#143]
Functions: []
Aggregate Attributes: []
Results [5]: [channel#42, id#43, sales#141, returns#142, profit#143]
(124) TakeOrderedAndProject
Input [5]: [channel#42, id#43, sales#141, returns#142, profit#143]
Arguments: 100, [channel#42 ASC NULLS FIRST, id#43 ASC NULLS FIRST], [channel#42, id#43, sales#141, returns#142, profit#143]
===== Subqueries =====
Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#7 IN dynamicpruning#8
ReusedExchange (125)
(125) ReusedExchange [Reuses operator id: 32]
Output [1]: [d_date_sk#22]
Subquery:2 Hosting operator id = 44 Hosting Expression = cs_sold_date_sk#53 IN dynamicpruning#8
Subquery:3 Hosting operator id = 75 Hosting Expression = ws_sold_date_sk#92 IN dynamicpruning#8