问题
I am using SQL Server 2012 I have the following sample data
Date Type Symbol Price
6/30/1995 gaus 313586U72 109.25
6/30/1995 gbus 313586U72 108.94
6/30/1995 csus NES 34.5
6/30/1995 lcus NES 34.5
6/30/1995 lcus NYN 40.25
6/30/1995 uaus NYN 40.25
6/30/1995 agus SRR 10.25
6/30/1995 lcus SRR 0.45
7/1/1995 gaus 313586U72 109.25
7/1/1995 gbus 313586U72 108.94
I want to filter out when symbol and price match. It's ok if type doesn't match. Thus with the above data I would expect to only see
Date Type Symbol Price
6/30/1995 gaus 313586U72 109.25
6/30/1995 gbus 313586U72 108.94
6/30/1995 agus SRR 10.25
6/30/1995 lcus SRR 0.45
7/1/1995 gaus 313586U72 109.25
7/1/1995 gbus 313586U72 108.94
NES and NYN have been filtered out because their symbol and price matches.
I was thinking of using Partition and row number, but I am not sure how to pair and filter rows using that or another function.
* **UPDATE I will be testing the replies. I should have mentioned I just want to see duplicates for symbol and price that occur on the same date. Also the table is called duppri
回答1:
One way is to use the exists
predicate with a correlated subquery that checks that the specific symbol have more than one price.:
select * from table1 t
where exists (
select 1
from table1
where symbol = t.symbol
and price <> t.price);
Sample SQL Fiddle
This would return:
| Date | Type | Symbol | Price |
|------------------------|------|-----------|--------|
| June, 30 1995 02:00:00 | gaus | 313586U72 | 109.25 |
| June, 30 1995 02:00:00 | gbus | 313586U72 | 108.94 |
| June, 30 1995 02:00:00 | agus | SRR | 10.25 |
| June, 30 1995 02:00:00 | lcus | SRR | 0.45 |
| July, 01 1995 02:00:00 | gaus | 313586U72 | 109.25 |
| July, 01 1995 02:00:00 | gbus | 313586U72 | 108.94 |
Edit: inspiried by Gordon Linoffs clever answer another option could be to use avg()
as a windowed function:
select Date, Type, Symbol, Price
from (
select Date, Type, Symbol, Price, avg = avg(price) over (partition by symbol)
from table1) a
where avg <> price;
Edit: with a check to ensure only duplicates on the same date are returned: http://www.sqlfiddle.com/#!6/29d67/1
回答2:
I would approach this using window functions:
select s.*
from (select s.*,
min(price) over (partition by symbol) as minprice,
max(price) over (partition by symbol) as maxprice
from sample s
) s
where minprice <> maxprice;
回答3:
Use a sub-select with GROUP BY
combined with HAVING COUNT DISTINCT
to find "bad" symbols:
select * from your_table
where symbol not in
(
select symbol
from your_table
group by symbol
having count(distinct price) > 1
)
来源:https://stackoverflow.com/questions/31206608/sql-to-check-when-pairs-dont-match