How to Group by Month from Date Field Using Sql

How can I group only by month from a date field (and not group by day)?

Here is what my date field looks like:

2012-05-01

Here is my current SQL:

select  Closing_Date, Category,  COUNT(Status)TotalCount from  MyTable
where Closing_Date >= '2012-02-01' and Closing_Date <= '2012-12-31'
and Defect_Status1 is not null
group by  Closing_Date, Category

10 Answers

I would use this:

SELECT  Closing_Date = DATEADD(MONTH, DATEDIFF(MONTH, 0, Closing_Date), 0), 
        Category,  
        COUNT(Status) TotalCount 
FROM    MyTable
WHERE   Closing_Date >= '2012-02-01' 
AND     Closing_Date <= '2012-12-31'
AND     Defect_Status1 IS NOT NULL
GROUP BY DATEADD(MONTH, DATEDIFF(MONTH, 0, Closing_Date), 0), Category;

This will group by the first of every month, so

`DATEADD(MONTH, DATEDIFF(MONTH, 0, '20130128'), 0)` 

will give '20130101'. I generally prefer this method as it keeps dates as dates.

Alternatively you could use something like this:

SELECT  Closing_Year = DATEPART(YEAR, Closing_Date),
        Closing_Month = DATEPART(MONTH, Closing_Date),
        Category,  
        COUNT(Status) TotalCount 
FROM    MyTable
WHERE   Closing_Date >= '2012-02-01' 
AND     Closing_Date <= '2012-12-31'
AND     Defect_Status1 IS NOT NULL
GROUP BY DATEPART(YEAR, Closing_Date), DATEPART(MONTH, Closing_Date), Category;

It really depends what your desired output is. (Closing Year is not necessary in your example, but if the date range crosses a year boundary it may be).

6

Use the DATEPART function to extract the month from the date.

So you would do something like this:

SELECT DATEPART(month, Closing_Date) AS Closing_Month, COUNT(Status) AS TotalCount
FROM t
GROUP BY DATEPART(month, Closing_Date)
6

I used the FORMAT function to accomplish this:

select
 FORMAT(Closing_Date, 'yyyy_MM') AS Closing_Month
 , count(*) cc 
FROM
 MyTable
WHERE
 Defect_Status1 IS NOT NULL
 AND Closing_Date >= '2011-12-01'
 AND Closing_Date < '2016-07-01' 
GROUP BY FORMAT(Closing_Date, 'yyyy_MM')
ORDER BY Closing_Month
1

By Adding MONTH(date_column) in GROUP BY.

SELECT Closing_Date, Category,  COUNT(Status)TotalCount
FROM   MyTable
WHERE  Closing_Date >= '2012-02-01' AND Closing_Date <= '2012-12-31'
AND    Defect_Status1 IS NOT NULL
GROUP BY MONTH(Closing_Date), Category
0

Try this:

select min(closing_date), date_part('month',closing_date) || '-' || date_part('year',closing_date) AS month,
Category, COUNT(Status)TotalCount 
FROM MyTable
where Closing_Date >= '2012-02-01' AND Closing_Date <= '2012-12-31'
AND Defect_Status1 is not null
GROUP BY month, Category,
ORDER BY 1

This way you are grouping by a concatenated date format, joined by a -

0

DATEPART function doesn't work on MySQL 5.6, instead use MONTH('2018-01-01')

SELECT  to_char(Closing_Date,'MM'), 
        Category,  
        COUNT(Status) TotalCount 
FROM    MyTable
WHERE   Closing_Date >= '2012-02-01' 
AND     Closing_Date <= '2012-12-31'
AND     Defect_Status1 IS NOT NULL
GROUP BY Category;

SQL Server 2012 version above,

SELECT  format(Closing_Date,'yyyy-MM') as ClosingMonth,
        Category,  
        COUNT(Status) TotalCount 
FROM    MyTable
WHERE   Closing_Date >= '2012-02-01' 
AND     Closing_Date <= '2012-12-31'
AND     Defect_Status1 IS NOT NULL
GROUP BY format(Closing_Date,'yyyy-MM'), Category;

You can do this by using Year(), Month() Day() and datepart().

In you example this would be:

select  Closing_Date, Category,  COUNT(Status)TotalCount from  MyTable
where Closing_Date >= '2012-02-01' and Closing_Date <= '2012-12-31' 
and Defect_Status1 is not null 
group by Year(Closing_Date), Month(Closing_Date), Category
2

Try the Following Code

SELECT  Closing_Date = DATEADD(MONTH, DATEDIFF(MONTH, 0, Closing_Date), 0), 
        Category,  
        COUNT(Status) TotalCount 
FROM    MyTable
WHERE   Closing_Date >= '2012-02-01' 
AND     Closing_Date <= '2012-12-31'
AND     Defect_Status1 IS NOT NULL
GROUP BY DATEADD(MONTH, DATEDIFF(MONTH, 0, Closing_Date), 0), Category;

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Robert Thorne

Robert Thorne

Automotive & Future Transportation Editor

Robert Thorne covers electric vehicle innovations, autonomous driving systems, global mobility trends, and automotive engineering developments.

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