How to write a SQL statement (in SQL Server) to get a row with minimum value based on two columns?
For example:
Type Rank Val1 val2
------------------------------
A 6 486.57 38847
B 6 430 56345
C 5 390 99120
D 5 329 12390
E 4 350 11109
E 4 320 11870
The SQL statement should return the last row in above table, because it has min value for Rank, and Val1.
Something like this:
select *
from Table1
where rank = (select min(rank) from Table1)
and Val1 = (select min(Val1)
from Table1
where rank = (select min(rank) from Table1))
Or this, if you like a simple life:
select top 1 *
from Table1
order by rank asc, Val1 asc
with cte as (
select *, row_number() over (order by rank, val1) as rn
from dbo.yourTable
)
select *
from cte
where rn = 1;
The idea here is that I'm assigning a 1..n enumeration to the rows based on rank and, in the case of ties, Val1. I return the row that takes the value of 1. If there is the possibility of a tie, use rank() instead of row_number().
I'm assuming that Type is the primary key for your table, and that you only want a row that has both the lowest Val1 and lowest Val2 (so if one row has the lowest Val1, but not the lowest Val2, this returns no data). I'm not sure about these assumptions, but your question could probably be clarified a bit.
Here's the code:
SELECT
*
FROM
Table1
WHERE
Type IN
(
SELECT
Type
FROM
Table1
GROUP BY
Type
HAVING
MIN(Val1) AND MIN(val2)
)
Related
I am looking for SQL to count unique values in the column.
I am aware of DISTINCT - that gives me how many unique values there are. However, I am looking for - how many ONLY unique values there are.
So if my data is Letters: {A,A,A,B,B,B,C,D}. I am looking to get:
Count Distinct = 4 {A,B,C,D) and
Count Unique = 2 {C,D} <== this is what I am looking for
I am working with BigQuery.
Thank You,
Do
Below query will return only unique values in the column.
SELECT col
FROM UNNEST(SPLIT('A,A,A,B,B,B,C,D')) col
GROUP BY 1 HAVING COUNT(1) = 1;
Then, you can simply count rows.
WITH uniques AS (
SELECT col
FROM UNNEST(SPLIT('A,A,A,B,B,B,C,D')) col
GROUP BY 1 HAVING COUNT(1) = 1
)
SELECT COUNT(*) cnt FROM uniques;
Another option
select count(*) from (
select * from your_table
qualify 1 = count(*) over(partition by col)
)
So I have the following data in my table
id id2 flag
1 11 0 <- this row should not be part of the result
1 12 1 <- this row should survive the distinct operation
2 13 0
3 14 0
I want my result to be
id id2 flag
1 12 1
2 13 0
3 14 0
How would I construct a query like such?
Thanks
EDIT1: Sorry, using two column dummy data doesn't correctly reflect the problem I am facing. I added another column, which complicates the problem. As you can see I can't group on id2 because they are all unique. But the row with id2 = 11 should be omitted from the result.
EDIT2: Changed the question to use 'omit' instead of 'remove'
EDIT3:
select id, id2, max(flag)
from table
group by id, id2
This query returns all 4 rows because group by id2 includes all 4 rows.
When you want to apply additional criteria to the data, you typically use GROUP BY instead of DISTINCT. For example, if you would like to keep flag of 1 if it exists, or keep zero otherwise, you can do this:
SELECT id, MAX(flag) as flag -- Since 1 > 0, MAX() works fine
FROM myTable
GROUP BY id -- This keeps only distinct ids
EDIT : (in response to edits #2&3)
Another solution would be using NOT EXISTS in a subquery, like this:
SELECT id, id2, flag
FROM myTable o
WHERE NOT EXISTS (
SELECT * FROM myTable i WHERE o.id=i.id AND i.flag > o.flag
)
;with CTE as
(
select
row_number() over (partition by id order by flag desc) as rn,
id,
id2,
flag
from myTable
)
SELECT * from CTE where rn = 1
Suppose there is a table
_ _
a 1
a 2
b 2
c 3
c 4
c 1
d 2
e 5
e 6
How can I select distinct minimum value of all the rows of each group?
So the expected result here is:
_ _
a 1
b 2
c 1
d 2
e 5
EDIT
My actual table contains more columns and I want to select them all. The rows differ only in the last column (the second one in the example). I'm new to SQL and possibly my question is ill-formed in it initial view.
The actual schema is:
| day | currency ('EUR', 'USD') | diff (integer) | id (foreign key) |
The are duplicate pairs (day, currency) that differ by (diff, id). I want to see a table with uniquer pairs (day, currency) with a minimum diff from the original table.
Thanks!
in your case it's as simple as this:
select column1, min(column2) as column2
from table
group by column1
for more than two columns I can suggest this:
select top 1 with ties
t.column1, t.column2, t.column3
from table as t
order by row_number() over (partition by t.column1 order by t.column2)
take a look at this post https://stackoverflow.com/a/13652861/1744834
You can use the ranking function ROW_NUMBER() to do this with a CTE. Especially, if there are more column other than these two column, it will give the distict values like so:
;WITH RankedCTE
AS
(
SELECT *, ROW_NUMBER() OVER(PARTITION BY column1 ORDER BY Colmn2 ) rownum
FROM Table
)
SELECT column1, column2
FROM RankedCTE
WHERE rownum = 1;
This will give you:
COLUMN1 COLUMN2
a 1
b 2
c 1
d 2
e 5
SQL Fiddle Demo
SELECT ColOne, Min(ColTwo)
FROM Table
GROUP BY ColOne
ORDER BY ColOne
PS: not front of a,machine, but give above a try please.
select MIN(col2),col1
from dbo.Table_1
group by col1
I want to get a subset of a table, here's the example:
1 A
2 A
3 B
4 B
5 C
6 D
7 D
8 D
I want to get the unique record, but with the smallest id:
1 A
3 B
5 C
6 D
How can I write the SQL in SQL Server? Thanks!
Use a common-table expression like this:
;WITH DataCTE AS
(
SELECT ID, OtherCol,
ROW_NUM() OVER(PARTITION BY OtherCol ORDER BY ID) 'RowNum'
FROM dbo.YourTable
)
SELECT *
FROM DataCTE
WHERE RowNum = 1
This "partitions" your data by the second column you have (A, B, C) and orders by the ID (1, 2, 3) - smallest ID first.
Therefore, for each "partition" (i.e. each value of your second column), the entry with RowNum = 1 is the one with the smallest ID for each value of the second column.
select min(id), othercol
from thetable
group by othercol
and maybe with
order by othercol
... at the end if thats important
Try this:
SELECT MIN(Id) AS Id, Name
FROM MyTable
GROUP BY Name
select min(id), column2
from table
group by column2
It helps if you provide the table information in the question - I've just guessed at the column names...
I have a table with 10 columns.
I want to return all rows for which Col006 is distinct, but return all columns...
How can I do this?
if column 6 appears like this:
| Column 6 |
| item1 |
| item1 |
| item2 |
| item1 |
I want to return two rows, one of the records with item1 and the other with item2, along with all other columns.
In SQL Server 2005 and above:
;WITH q AS
(
SELECT *, ROW_NUMBER() OVER (PARTITION BY col6 ORDER BY id) rn
FROM mytable
)
SELECT *
FROM q
WHERE rn = 1
In SQL Server 2000, provided that you have a primary key column:
SELECT mt.*
FROM (
SELECT DISTINCT col6
FROM mytable
) mto
JOIN mytable mt
ON mt.id =
(
SELECT TOP 1 id
FROM mytable mti
WHERE mti.col6 = mto.col6
-- ORDER BY
-- id
-- Uncomment the lines above if the order matters
)
Update:
Check your database version and compatibility level:
SELECT ##VERSION
SELECT COMPATIBILITY_LEVEL
FROM sys.databases
WHERE name = DB_NAME()
The key word "DISTINCT" in SQL has the meaning of "unique value". When applied to a column in a query it will return as many rows from the result set as there are unique, different values for that column. As a consequence it creates a grouped result set, and values of other columns are random unless defined by other functions (such as max, min, average, etc.)
If you meant to say you want to return all rows for which Col006 has a specific value, then use the "where Col006 = value" clause.
If you meant to say you want to return all rows for which Col006 is different from all other values of Col006, then you still need to specify what that value is => see above.
If you want to say that the value of Col006 can only be evaluated once all rows have been retrieved, then use the "having Col006 = value" clause. This has the same effect as the "where" clause, but "where" gets applied when rows are retrieved from the raw tables, whereas "having" is applied once all other calculations have been made (i.e. aggregation functions have been run etc.) and just before the result set is returned to the user.
UPDATE:
After having seen your edit, I have to point out that if you use any of the other suggestions, you will end up with random values in all other 9 columns for the row that contains the value "item1" in Col006, due to the constraint further up in my post.
You can group on Col006 to get the distinct values, but then you have to decide what to do with the multiple records in each group.
You can use aggregates to pick a value from the records. Example:
select Col006, min(Col001), max(Col002)
from TheTable
group by Col006
order by Col006
If you want the values to come from a specific record in each group, you have to identify it somehow. Example of using Col002 to identify the record in each group:
select Col006, Col001, Col002
from TheTable t
inner join (
select Col006, min(Col002)
from TheTable
group by Col006
) x on t.Col006 = x.Col006 and t.Col002 = x.Col002
order by Col006
SELECT *
FROM (SELECT DISTINCT YourDistinctField FROM YourTable) AS A
CROSS APPLY
( SELECT TOP 1 * FROM YourTable B
WHERE B.YourDistinctField = A.YourDistinctField ) AS NewTableName
I tried the answers posted above with no luck... but this does the trick!
select * from yourTable where column6 in (select distinct column6 from yourTable);
SELECT *
FROM harvest
GROUP BY estimated_total;
You can use GROUP BY and MIN() to get more specific result.
Lets say that you have id as the primary_key.
And we want to get all the DISTINCT values for a column lets say estimated_total, And you also need one sample of complete row with each distinct value in SQL. Following query should do the trick.
SELECT *, min(id)
FROM harvest
GROUP BY estimated_total;
create table #temp
(C1 TINYINT,
C2 TINYINT,
C3 TINYINT,
C4 TINYINT,
C5 TINYINT,
C6 TINYINT)
INSERT INTO #temp
SELECT 1,1,1,1,1,6
UNION ALL SELECT 1,1,1,1,1,6
UNION ALL SELECT 3,1,1,1,1,3
UNION ALL SELECT 4,2,1,1,1,6
SELECT * FROM #temp
SELECT *
FROM(
SELECT ROW_NUMBER() OVER (PARTITION BY C6 Order by C1) ID,* FROM #temp
)T
WHERE ID = 1