SQL query to select distinct row with minimum value
Use:
SELECT tbl.*
FROM TableName tbl
INNER JOIN
(
SELECT Id, MIN(Point) MinPoint
FROM TableName
GROUP BY Id
) tbl1
ON tbl1.id = tbl.id
WHERE tbl1.MinPoint = tbl.Point
how to select distinct row with minimum value
Use row_number()
:
select t.*
from (select t.*,
row_number() over (partition by ig_team order by ig_idx asc) as seqnum
from t
) t
where seqnum = 1;
SQL query to select distinct row with minimum value from two table
For Sql Server
you can use OUTER APPLY
:
select * from t1
outer apply(select top 1 * from t2 where t1_id = t1.id order by price) oa
SQL Select only rows with Minimum Value on a Column with Where Condition
You can start by selecting the minimum orderIndex of products that are not rejected like this:
SELECT productId, MIN(orderIndex)
FROM myTable
WHERE rejected = 0
GROUP BY productId;
Once you have that, you can join it with your original table on the condition that productId and minOrderIndex match:
SELECT m.id, m.productId, m.orderIndex
FROM myTable m
JOIN(
SELECT productId, MIN(orderIndex) AS minOrderIndex
FROM myTable
WHERE rejected = 0
GROUP BY productId) tmp ON tmp.productId = m.productId AND tmp.minOrderIndex = m.orderIndex;
My query makes the assumption that there are no duplicate (productId, orderIndex) pairs. As long as those don't exist, this will work just fine. Here is an SQL Fiddle example.
row with minimum value of a column
Try this -
select top 1 * from table where N_UM = (select min(N_UM) from table);
Group by minimum value in one field while selecting distinct rows
How about something like:
SELECT mt.*
FROM MyTable mt INNER JOIN
(
SELECT id, MIN(record_date) AS MinDate
FROM MyTable
GROUP BY id
) t ON mt.id = t.id AND mt.record_date = t.MinDate
This gets the minimum date per ID, and then gets the values based on those values. The only time you would have duplicates is if there are duplicate minimum record_dates for the same ID.
SQL select distinct min and max records from date and lowest and highest values
I'm using mySql 5.6 and this query works:
select date(m.min_max_date) as date,
max(case when m.lbl='min_hr_price' then m.min_max_hr_price else null end) as lowest_hr_price,
max(case when m.lbl='max_hr_price' then m.min_max_hr_price else null end) as max_hr_price,
max(case when n.lbl='min_price' then n.min_max_price else null end) as min_price,
max(case when n.lbl='max_price' then n.min_max_price else null end) as max_price
from (select 'min_hr_price' as lbl, price as min_max_hr_price, date as min_max_date
from tbl
where date in (select min(date) as min_date from tbl group by date(date))
union
select 'max_hr_price', price, date
from tbl
where date in (select max(date) as max_date from tbl group by date(date))) as m,
(
select 'min_price' as lbl,
min(date) as min_max_date,
min(price) as min_max_price
from tbl
group by date(date)
union
select 'max_price' as lbl,
max(date) as min_max_date,
max(price) as min_max_price
from tbl
group by date(date)
) n
where m.min_max_date=n.min_max_date
group by date(m.min_max_date)
order by m.min_max_date
Sample result:
date lowest_hr_price max_hr_price min_price max_price
2018-03-06 $1102.8 $1821 $1011.6 $1821
INSERT INTO TBL VALUES(1, '2018-03-06 22:19:10', '$1011.6');
INSERT INTO TBL VALUES(2, '2018-03-06 13:19:11', '$1011.6');
INSERT INTO TBL VALUES(3, '2018-03-06 03:21:25', '$1106.2');
INSERT INTO TBL VALUES(4, '2018-03-06 00:26:50', '$1102.8');
INSERT INTO TBL VALUES(5, '2018-03-06 22:26:17', '$1821');
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