我的数据库中有三个表-广告系列，应用程序和收入。
广告系列：
id | name
----+------
1 | Gis1
2 | Gis2
3 | Gis3
应用程序：
app_id | name | campaign_id
--------+-----------+-------------
1 | Paino | 1
2 | Guitar | 1
3 | DrumPads | 1
4 | Karaoke | 2
5 | Metronome | 3
收入：
date | app_id | revenue
------------+--------+-------------------
2018-01-01 | 3 | 78.538551844269
2018-01-01 | 4 | 38.8709466245191
2018-01-01 | 2 | 35.5413845637373
2018-01-01 | 1 | 28.6825649309465
2018-01-01 | 5 | 6.33375584214843
2018-01-02 | 4 | 75.162254483704
2018-01-02 | 1 | 73.2370500155917
2018-01-02 | 5 | 70.4319678991422
2018-01-02 | 2 | 61.6702865774691
2018-01-02 | 3 | 11.7512900955221
2018-01-03 | 3 | 96.3792688491068
2018-01-03 | 4 | 84.3478274916822
2018-01-03 | 2 | 78.6001262071822
2018-01-03 | 5 | 13.8776103129058
2018-01-03 | 1 | 1.68915693074764
2018-01-04 | 5 | 99.4360222634511
2018-01-04 | 4 | 90.1921250023309
2018-01-04 | 3 | 16.5334091972016
2018-01-04 | 2 | 10.5714115940407
2018-01-04 | 1 | 1.35598296965985
2018-01-05 | 5 | 80.2475503409425
2018-01-05 | 4 | 38.9817245329402
2018-01-05 | 2 | 34.409188396027
2018-01-05 | 3 | 20.4833489416672
2018-01-05 | 1 | 2.61399153047812
2018-01-06 | 3 | 87.8649452536831
2018-01-06 | 1 | 74.4561480870284
2018-01-06 | 5 | 21.6574319699022
2018-01-06 | 2 | 4.87542333346478
2018-01-06 | 4 | 1.14697005074565
2018-01-07 | 1 | 87.9779788101898
2018-01-07 | 4 | 77.7294346579956
2018-01-07 | 3 | 59.3464731223967
2018-01-07 | 2 | 40.95148445392
2018-01-07 | 5 | 5.06283105895021
2018-01-08 | 1 | 96.2285605244126
2018-01-08 | 2 | 95.07328406998
2018-01-08 | 3 | 92.0486340327792
2018-01-08 | 4 | 85.379685234924
2018-01-08 | 5 | 9.78507570055686
2018-01-09 | 1 | 62.8192365909115
2018-01-09 | 4 | 62.0064597273823
2018-01-09 | 5 | 48.0621315020228
2018-01-09 | 3 | 29.7547369619939
2018-01-09 | 2 | 12.2752425067087
2018-01-10 | 2 | 81.0502551311092
2018-01-10 | 3 | 48.9698039641851
2018-01-10 | 1 | 17.5580143188766
2018-01-10 | 5 | 16.961404890828
2018-01-10 | 4 | 15.8832169199418
2018-01-11 | 2 | 77.6197753309208
2018-01-11 | 4 | 37.7590440824396
2018-01-11 | 1 | 28.964817136957
2018-01-11 | 3 | 28.706793080089
2018-01-11 | 5 | 26.9639842717711
2018-01-12 | 3 | 87.2789863299996
2018-01-12 | 1 | 78.8013559572292
2018-01-12 | 4 | 57.4583081599463
2018-01-12 | 5 | 48.0822281547709
2018-01-12 | 2 | 0.839615458734033
2018-01-13 | 3 | 69.8766551973526
2018-01-13 | 2 | 58.3078275325981
2018-01-13 | 5 | 21.8336755576109
2018-01-13 | 4 | 11.370240413885
2018-01-13 | 1 | 1.86340769095961
2018-01-14 | 5 | 92.6937944833375
2018-01-14 | 4 | 87.4130741995654
2018-01-14 | 3 | 72.2022209237481
2018-01-14 | 1 | 17.323222911245
2018-01-14 | 2 | 14.1322298298443
2018-01-15 | 2 | 90.8789341373927
2018-01-15 | 4 | 74.78605271702
2018-01-15 | 1 | 65.674207749016
2018-01-15 | 5 | 33.0848315520449
2018-01-15 | 3 | 19.7583865950811
2018-01-16 | 5 | 66.2050914825085
2018-01-16 | 4 | 34.6843542862023
2018-01-16 | 1 | 29.5897929780101
2018-01-16 | 2 | 15.0023649485883
2018-01-16 | 3 | 7.54663420658891
2018-01-17 | 2 | 83.3703723270077
2018-01-17 | 3 | 61.088943523605
2018-01-17 | 4 | 46.5194411862903
2018-01-17 | 5 | 46.462239550764
2018-01-17 | 1 | 16.1838123321874
2018-01-18 | 5 | 78.0041560412725
2018-01-18 | 4 | 30.3052500891844
2018-01-18 | 2 | 29.8116578069311
2018-01-18 | 3 | 5.80476470204397
2018-01-18 | 1 | 2.28775040131831
2018-01-19 | 5 | 94.0447243349086
2018-01-19 | 2 | 93.2593723776554
2018-01-19 | 3 | 86.2968057525727
2018-01-19 | 1 | 42.7138322733396
2018-01-19 | 4 | 22.1327564577787
2018-01-20 | 3 | 98.8579713044872
2018-01-20 | 5 | 64.8200087378497
2018-01-20 | 4 | 64.7727513652878
2018-01-20 | 2 | 39.2598249004273
2018-01-20 | 1 | 25.6178488851919
2018-01-21 | 3 | 84.4040426309011
2018-01-21 | 1 | 52.0713063443698
2018-01-21 | 5 | 41.7424199787255
2018-01-21 | 4 | 35.3389400530059
2018-01-21 | 2 | 28.350741474429
2018-01-22 | 2 | 96.8320321290855
2018-01-22 | 3 | 74.0004402752697
2018-01-22 | 1 | 72.5235460636752
2018-01-22 | 5 | 53.607618058446
2018-01-22 | 4 | 41.3008316635055
2018-01-23 | 2 | 66.6286214457232
2018-01-23 | 3 | 54.1626139019933
2018-01-23 | 5 | 52.5239485716162
2018-01-23 | 4 | 25.7367743326983
2018-01-23 | 1 | 6.46491466744874
2018-01-24 | 2 | 83.5308430627458
2018-01-24 | 1 | 68.6328785122374
2018-01-24 | 4 | 55.6973785257225
2018-01-24 | 3 | 46.0264499615527
2018-01-24 | 5 | 16.4651600203735
2018-01-25 | 4 | 80.9564163429763
2018-01-25 | 5 | 62.5899942406707
2018-01-25 | 1 | 59.0336831992662
2018-01-25 | 2 | 46.4030509765701
2018-01-25 | 3 | 22.6888680448289
2018-01-26 | 4 | 76.5099290710172
2018-01-26 | 3 | 53.933127563048
2018-01-26 | 5 | 49.5466520893498
2018-01-26 | 2 | 45.1699294234721
2018-01-26 | 1 | 21.3764512981173
2018-01-27 | 1 | 90.5434132585012
2018-01-27 | 4 | 67.0016445981484
2018-01-27 | 3 | 11.2431627841556
2018-01-27 | 2 | 5.39719616685773
2018-01-27 | 5 | 2.11776835627748
2018-01-28 | 2 | 53.3541751891504
2018-01-28 | 1 | 32.9596394913923
2018-01-28 | 3 | 21.1895497351378
2018-01-28 | 4 | 16.2897762555689
2018-01-28 | 5 | 5.34709359321544
2018-01-29 | 1 | 64.5439256676011
2018-01-29 | 2 | 15.9776125576869
2018-01-29 | 4 | 11.0105036902667
2018-01-29 | 3 | 2.16601788703412
2018-01-29 | 5 | 0.555523083910259
2018-01-30 | 4 | 94.7839147312857
2018-01-30 | 5 | 72.6621727991897
2018-01-30 | 3 | 70.124043314061
2018-01-30 | 2 | 34.5961079425723
2018-01-30 | 1 | 33.2888204556319
2018-01-31 | 3 | 77.7231288650421
2018-01-31 | 1 | 56.8044673174345
2018-01-31 | 4 | 43.5046513642636
2018-01-31 | 5 | 41.5792942791069
2018-01-31 | 2 | 25.5788387345906
2018-02-01 | 3 | 95.2107725320766
2018-02-01 | 4 | 86.3486448391141
2018-02-01 | 5 | 78.3239590582078
2018-02-01 | 2 | 39.1536975881585
2018-02-01 | 1 | 36.0675078797763
2018-02-02 | 5 | 97.8803713050822
2018-02-02 | 1 | 79.4247662701352
2018-02-02 | 2 | 26.3779061699958
2018-02-02 | 3 | 22.4354942949645
2018-02-02 | 4 | 13.2603534317112
2018-02-03 | 3 | 96.1323726327063
2018-02-03 | 5 | 59.6632595622737
2018-02-03 | 1 | 27.389807545151
2018-02-03 | 2 | 7.76389782111102
2018-02-03 | 4 | 0.969840948318645
2018-02-04 | 3 | 75.3978559173567
2018-02-04 | 5 | 49.3882938530803
2018-02-04 | 2 | 39.1100010374179
2018-02-04 | 4 | 35.8242148224422
2018-02-04 | 1 | 7.23734382101905
2018-02-05 | 4 | 75.3672510776635
2018-02-05 | 5 | 64.5369740371526
2018-02-05 | 3 | 51.5082265591993
2018-02-05 | 1 | 32.3788448578061
2018-02-05 | 2 | 21.4472612365463
2018-02-06 | 3 | 53.4502002775965
2018-02-06 | 2 | 53.0717656757934
2018-02-06 | 1 | 40.8672220798649
2018-02-06 | 4 | 37.839976598642
2018-02-06 | 5 | 9.12020377129901
2018-02-07 | 5 | 97.4855788083418
2018-02-07 | 4 | 97.4608054761709
2018-02-07 | 1 | 95.6723225551752
2018-02-07 | 3 | 87.9714358507064
2018-02-07 | 2 | 38.2405435002047
2018-02-08 | 4 | 82.9874314133669
2018-02-08 | 5 | 82.6651133226406
2018-02-08 | 1 | 69.3052440890685
2018-02-08 | 2 | 51.1343060185741
2018-02-08 | 3 | 25.5081553094595
2018-02-09 | 2 | 77.6589355538231
2018-02-09 | 5 | 74.7649757096248
2018-02-09 | 4 | 74.0052834670764
2018-02-09 | 1 | 37.58471748555
2018-02-09 | 3 | 9.52726961562965
2018-02-10 | 4 | 63.5114625028904
2018-02-10 | 1 | 57.6003561091767
2018-02-10 | 3 | 33.8354238124814
2018-02-10 | 5 | 24.755497452165
2018-02-10 | 2 | 6.09719410861046
2018-02-11 | 3 | 99.3200679204704
2018-02-11 | 4 | 92.787953262445
2018-02-11 | 2 | 75.7916875546417
2018-02-11 | 1 | 74.1264023056354
2018-02-11 | 5 | 39.0543105010909
2018-02-12 | 4 | 73.9016911300489
2018-02-12 | 2 | 36.8834180654883
2018-02-12 | 3 | 30.824684325787
2018-02-12 | 5 | 29.1559120548307
2018-02-12 | 1 | 10.1162943083399
2018-02-13 | 1 | 88.0975197801571
2018-02-13 | 3 | 73.3753659668181
2018-02-13 | 4 | 63.0762892472857
2018-02-13 | 5 | 35.8151357458788
2018-02-13 | 2 | 13.4014942840453
2018-02-14 | 1 | 94.8739671484573
2018-02-14 | 2 | 91.6415916160249
2018-02-14 | 5 | 66.2281593912018
2018-02-14 | 4 | 42.94700050317
2018-02-14 | 3 | 26.5246491333787
2018-02-15 | 2 | 98.7486846642082
2018-02-15 | 5 | 69.6182587287506
2018-02-15 | 3 | 44.6821718318301
2018-02-15 | 4 | 21.9568740682904
2018-02-15 | 1 | 15.374522578894
2018-02-16 | 2 | 94.3365941896695
2018-02-16 | 1 | 53.269122319394
2018-02-16 | 3 | 39.6046035126169
2018-02-16 | 4 | 37.622514510779
2018-02-16 | 5 | 31.3474270053205
2018-02-17 | 3 | 70.0631248181593
2018-02-17 | 5 | 50.1262781461011
2018-02-17 | 2 | 43.9279952731992
2018-02-17 | 1 | 28.2582849814117
2018-02-17 | 4 | 21.0913544631149
2018-02-18 | 3 | 74.8909778287795
2018-02-18 | 2 | 74.2363801582102
2018-02-18 | 5 | 72.4878600270842
2018-02-18 | 1 | 25.6855071233935
2018-02-18 | 4 | 0.37039199763309
2018-02-19 | 3 | 83.3856751613489
2018-02-19 | 5 | 46.4974932948942
2018-02-19 | 2 | 6.43301299768522
2018-02-19 | 4 | 4.81320557633388
2018-02-19 | 1 | 2.15515010060456
2018-02-20 | 4 | 81.4230771798843
2018-02-20 | 5 | 57.7265346180577
2018-02-20 | 1 | 56.2984247130064
2018-02-20 | 2 | 49.0169450043801
2018-02-20 | 3 | 46.5627217436774
2018-02-21 | 1 | 96.5297614033189
2018-02-21 | 5 | 96.2494094090932
2018-02-21 | 3 | 31.3462847216426
2018-02-21 | 4 | 23.2941891242544
2018-02-21 | 2 | 19.9083254355315
2018-02-22 | 1 | 79.0770313884165
2018-02-22 | 2 | 64.9973229306064
2018-02-22 | 3 | 55.3855288854335
2018-02-22 | 4 | 53.814505037514
2018-02-22 | 5 | 24.401256997123
2018-02-23 | 3 | 94.6754099868804
2018-02-23 | 1 | 52.4266618064681
2018-02-23 | 5 | 43.3877704733184
2018-02-23 | 2 | 23.3815439158117
2018-02-23 | 4 | 5.92925014836784
2018-02-24 | 4 | 82.3691566567076
2018-02-24 | 3 | 59.14386332869
2018-02-24 | 1 | 56.3529858789623
2018-02-24 | 5 | 17.7818909222602
2018-02-24 | 2 | 8.08320409409884
2018-02-25 | 1 | 51.144611434977
2018-02-25 | 4 | 32.6423341915492
2018-02-25 | 2 | 25.7686248507202
2018-02-25 | 3 | 3.33917220111982
2018-02-25 | 5 | 1.98348143815742
2018-02-26 | 5 | 95.2717564467113
2018-02-26 | 2 | 89.9541470672166
2018-02-26 | 4 | 73.8019448592861
2018-02-26 | 3 | 41.1512130216618
2018-02-26 | 1 | 36.3474907902939
2018-02-27 | 5 | 79.2906637385048
2018-02-27 | 4 | 62.3354455191908
2018-02-27 | 2 | 41.5109752476831
2018-02-27 | 1 | 18.9144882775624
2018-02-27 | 3 | 2.1427167667481
2018-02-28 | 4 | 85.4665146107167
2018-02-28 | 3 | 46.1527380247259
2018-02-28 | 2 | 22.3016369603851
2018-02-28 | 1 | 7.070596022248
2018-02-28 | 5 | 4.55199247079415
由于查询的结果，我需要获取包含四列的表：
这里是source files。 我编写了这样的查询，该查询在数据库中创建表，并按星期显示公司Gis1的收入：
CREATE TABLE campaign
(
id INT PRIMARY KEY,
name VARCHAR
);
COPY campaign (id, name) FROM '/home/leonid/Campaign.csv' DELIMITER ';' CSV HEADER;
CREATE TABLE app
(
app_id INT PRIMARY KEY,
name VARCHAR,
campaign_id INT REFERENCES campaign (id)
);
COPY app (app_id, name, campaign_id) FROM '/home/leonid/App.csv' DELIMITER ';' CSV HEADER;
CREATE TABLE revenue
(
date DATE,
app_id INT REFERENCES app (app_id),
revenue DOUBLE PRECISION
);
COPY revenue (date, app_id, revenue) FROM '/home/leonid/Revenue.csv' DELIMITER ';' CSV HEADER;
ALTER TABLE revenue
ADD COLUMN N SERIAL PRIMARY KEY;
SELECT DISTINCT EXTRACT (WEEK FROM r.date) AS Week, SUM (r.revenue) AS Gis1
FROM revenue r
JOIN app a ON r.app_id = a.app_id
JOIN campaign c ON a.campaign_id = c.id
WHERE c.name = 'Gis1'
GROUP BY Week
ORDER BY Week;
也许我需要使用crosstab？
答案 0 :(得分：0)
免责声明：不确定我是否理解您的问题。但是似乎您只是想实现一些关键点：
WITH alldata AS ( -- 1
SELECT
r.revenue,
c.name,
EXTRACT('isoyear' FROM date) as year, -- 2
to_char(date, 'Month') as month, -- 3
EXTRACT('week' FROM date) as week -- 4
FROM
revenue r
JOIN app a ON a.app_id = r.app_id
JOIN campaign c ON c.id = a.campaign_id
)
SELECT
month || ' ' || week as period, -- 5
SUM(revenue) FILTER (WHERE name = 'Gis1') as gis1, -- 7
SUM(revenue) FILTER (WHERE name = 'Gis2') as gis2,
SUM(revenue) FILTER (WHERE name = 'Gis3') as gis2
FROM
alldata
GROUP BY year, month, week -- 6
ORDER BY year, week
结果（用于从您的过多样本数据中随机提取）：
| period | gis1 | gis2 | gis2 |
|-------------|--------------------|--------------------|--------------------|
| January 1 | 690.6488198608687 | 192.90960581696436 | 103.48598677014304 |
| January 2 | 377.6251679591726 | 85.379685234924 | 9.78507570055686 |
| January 3 | 303.6608544533801 | 121.3054939033103 | 124.4663955920365 |
| January 4 | 59.0336831992662 | 80.9564163429763 | 62.5899942406707 |
| February 5 | 123.5221801778573 | (null) | 59.6632595622737 |
| February 6 | 368.2516021023734 | 175.3567225686088 | 182.1855864844304 |
| February 7 | 368.9193547506641 | 21.0913544631149 | 122.6141381731853 |
| February 8 | 154.03324156166846 | 81.4230771798843 | 57.7265346180577 |
| February 9 | 174.5234469014203 | 73.8019448592861 | 179.11441265601024 |
WITH子句计算整个表。也可以在子查询中完成。isoyear而非year，以确保第一周没有问题。 isoyear准确定义了第一周的时间（“一年的第一个星期四在该年的第1周。” ）FILTER子句进行数据透视。这样一来，您就可以过滤出您希望汇总的内容。您的示例中的公司。