我在下面的查询中提取了我需要的所有必需数据。
SELECT a.Name, a.CPN a.Date a.Price a.dt_jay
FROM jatable a
where a.dt_jay = '11/19/2018' -- Previous day
and a.cd_type ='MKT'
and a.cpn between 2.0 and 7.5
and a.Name in ('A','B')
Order by a.CPN
我的结果是：
Name CPN Date Price
A 2.5 12/13/2018 102.1132813
A 2.5 3/13/2019 101.9804688
A 2.5 2/13/2019 102.3828125
A 2.5 1/14/2019 102.2460938
A 3 12/13/2018 104.2929688
A 3 3/13/2019 104.1445313
A 3 2/13/2019 104.0117188
A 3 1/14/2019 103.8789063
A 3.5 12/13/2018 105.7226563
A 3.5 3/13/2019 106.0976563
A 3.5 2/13/2019 105.9726563
A 3.5 1/14/2019 105.8476563
A 4 12/13/2018 106.7773438
A 4 3/13/2019 106.6523438
A 4 2/13/2019 106.7148438
A 4 1/14/2019 106.5898438
A 4.5 12/13/2018 106.7148438
A 4.5 3/13/2019 106.7773438
A 4.5 2/13/2019 106.5898438
A 4.5 1/14/2019 106.6523438
B 2.5 12/13/2018 87.609375
B 2.5 3/13/2019 86.953125
B 2.5 2/13/2019 87.1875
B 2.5 1/14/2019 87.40625
B 3 12/13/2018 90.7265625
B 3 3/13/2019 90.9609375
B 3 2/13/2019 91.1796875
B 3 1/14/2019 91.3828125
B 3.5 12/13/2018 94.5703125
B 3.5 3/13/2019 94.65234375
B 3.5 2/13/2019 94.4140625
B 3.5 1/14/2019 94.4921875
B 4 12/13/2018 97.3203125
B 4 3/13/2019 97.234375
B 4 2/13/2019 97.1484375
B 4 1/14/2019 97.41015625
B 4.5 12/13/2018 99.6953125
B 4.5 3/13/2019 100.0273438
B 4.5 2/13/2019 99.9140625
B 4.5 1/14/2019 99.8046875
我希望最终结果看起来像这样
Name CPN Date Price Name CPN Date Price Price A - Pric B
A 2.5 12/13/2018 102.1132813 B 2.5 12/13/2018 87.609375 14.50390625
A 2.5 3/13/2019 101.9804688 B 2.5 3/13/2019 86.953125 15.02734375
A 2.5 2/13/2019 102.3828125 B 2.5 2/13/2019 87.1875 15.1953125
A 2.5 1/14/2019 102.2460938 B 2.5 1/14/2019 87.40625 14.83984375
A 3 12/13/2018 104.2929688 B 3 12/13/2018 90.7265625 13.56640625
A 3 3/13/2019 104.1445313 B 3 3/13/2019 90.9609375 13.18359375
A 3 2/13/2019 104.0117188 B 3 2/13/2019 91.1796875 12.83203125
A 3 1/14/2019 103.8789063 B 3 1/14/2019 91.3828125 12.49609375
A 3.5 12/13/2018 105.7226563 B 3.5 12/13/2018 94.5703125 11.15234375
A 3.5 3/13/2019 106.0976563 B 3.5 3/13/2019 94.65234375 11.4453125
A 3.5 2/13/2019 105.9726563 B 3.5 2/13/2019 94.4140625 11.55859375
A 3.5 1/14/2019 105.8476563 B 3.5 1/14/2019 94.4921875 11.35546875
A 4 12/13/2018 106.7773438 B 4 12/13/2018 97.3203125 9.45703125
A 4 3/13/2019 106.6523438 B 4 3/13/2019 97.234375 9.41796875
A 4 2/13/2019 106.7148438 B 4 2/13/2019 97.1484375 9.56640625
A 4 1/14/2019 106.5898438 B 4 1/14/2019 97.41015625 9.1796875
A 4.5 12/13/2018 106.7148438 B 4.5 12/13/2018 99.6953125 7.01953125
A 4.5 3/13/2019 106.7773438 B 4.5 3/13/2019 100.0273438 6.75
A 4.5 2/13/2019 106.5898438 B 4.5 2/13/2019 99.9140625 6.67578125
A 4.5 1/14/2019 106.6523438 B 4.5 1/14/2019 99.8046875 6.84765625
我想从名称栏中比较A与B，如上所示。将数据与日期和CPN匹配，然后减去价格列（价格A-价格B）
这可能吗？
答案 0 :(得分：0)
您可以使用条件聚合：
select 'A' as name,
max(case when a.Name = 'A' then a.CPN end) as a_cpn,
max(case when a.Name = 'A' then a.date end) as a_date,
max(case when a.Name = 'A' then a.price end) as a_price,
max(case when a.Name = 'A' then a.CPN end) as a_cpn,
max(case when a.Name = 'B' then a.date end) as b_date,
max(case when a.Name = 'B' then a.price end) as b_price,
max(case when a.Name = 'B' then a.CPN end) as b_cpn
from jatable a
where a.dt_jay = '11/19/2018' and -- Should use YYYY-MM-DD format
a.cd_type = 'MKT' and
a.cpn between 2.0 and 7.5 and
a.Name in ('A', 'B')
group by date;