When I write below query it gives record .
SELECT [srno],[order_no],[order_date],[supplier_name],[item_code],[item_name],[quntity]
FROM [first].[dbo].[Purchase_Order]
WHERE order_date BETWEEN '22/04/2015' AND '4/05/2015'
In this query if I don't add 0 in '4/05/2015' it returns record.
But when I add 0 to the date i.e. '04/05/2015' it doesn't give any records.
SELECT [srno],[order_no],[order_date],[supplier_name],[item_code],[item_name],[quntity]
FROM [first].[dbo].[Purchase_Order]
WHERE order_date BETWEEN '22/04/2015' AND '04/05/2015'
The reason it's not working because SQL is trying to do a string comparison because both your types are string types, But what you really want to do a date comparison.
You should do something like this. Since you only need date part you can strip off the time and use style 103 for your format dd/mm/yyyy.
WHERE CONVERT(DATETIME,LEFT(order_date,10),103)
BETWEEN CONVERT(DATETIME,'20150422') AND CONVERT(DATETIME,'20150504')
Alternately you can use this as well if your order_date has dates like this 5/4/2015 03:20:24PM
WHERE CONVERT(DATETIME,LEFT(order_Date,CHARINDEX(' ', order_Date) - 1),103)
BETWEEN CONVERT(DATETIME,'20150422') AND CONVERT(DATETIME,'20150504')
A long term solution is to change your column order_date to DATE/DATETIME
It Better to Cast it to date rather than depend on IMPLICIT conversion
SELECT [srno],[order_no],[order_date],[supplier_name],[item_code],
[item_name],[quntity] FROM [first].[dbo].[Purchase_Order] where
convert(date,order_date,105) BETWEEN cast('22/04/2015' as Date) AND cast('04/05/2015' as date)
Related
i'm trying to define a rule that count rows where date format is dd/mm/yyyy and greater than a specific date in sql but i couldn't find the right function to use.
The second part is working : SELECT COUNT (*) FROM CUSTOMER WHERE DAT_0 >= '01/01/1995' but how could i specify the format too
In Standard SQL, the WHERE clause would look like:
WHERE DAT_0 >= DATE '1995-01-01'
Many databases would simply accept this without the DATE as well:
WHERE DAT_0 >= '1995-01-01'
In your comment DATE_0 is a date column
Therefore we can change it to any format as below using to_char then to_date
to_date(to_char(DATE_0,'yyyymmdd'),'yyyy-mm-dd')
When comparing you can try this, converting the date to_number, i find it very easy
to_number(to_char(DATE_0,'yyyymmdd')) > 19950101
if datatype of "DAT_0" is date or datetime or timestamp , they are recorded as a specific format specified by default datetime setting in your database engine , therefore you can't have multiple format inside the column , so there is no concern there
I wanted to know how to perform the SQL SELECT operation on only a particular range of characters.
For example,I've got an SQL query:
SELECT date,score from feedback GROUP BY date
Now this date is of format yyyy/mm/dd.
So I wanted to strip the days or cut out the days from it and make it yyyy/mm, thereby selecting only 0-7 characters from the date.
I've searched everywhere for the answer but could not find anything.Could I maybe do something like this?
SELECT date(7),score from feedback GROUP BY date(7)
In MSQL you use LEFT other use substring
SELECT LEFT('abcdefg',2);
--
ab
So in your case
SELECT LEFT(date,7), score
FROM feedback
GROUP BY LEFT(date,7)
But again things will be much easier if you use a date field instead a text field.
Assuming that your date field is an actual date field (or even a datetime field) the following solution would work:
select left(convert(date ,getdate()),7) as Year_Month
Changing getdate() to your date field, it would look like:
select left(convert(date , feedback.date),7) as Year_Month
Both queries return the following:
2016-01
There is this strange error in sql query.
The query is something like this.
select * from student where dob between '20150820' and '20150828'
But in the database the column of dob is varchar(14) and is in yyyyMMddhhmmss format,Say my data in the row is (20150827142545).If i fire the above query it should not retrive any rows as i have mentioned yyyyMMdd format in the query.But it retrives the row with yesterday date (i.e 20150827112535) and it cannot get the records with today's date (i.e 20150828144532)
Why is this happening??
Thanks for the help in advance
You can try like this:
select * from student
where convert(date,LEFT(dob,8)) between
convert(date'20150820') and convert(date,'20150828'))
Also as others have commented you need to store your date as Date instead of varchar to avoid such problems in future.
As already mentioned you would need to use the correct date type to have between behave properly.
select *
from student
where convert(date,LEFT(dob,8)) between '20150820' and '20150828'
Sidenote: You don't have to explicitly convert your two dates from text as this will be done implicitly as long as you use an unambiguous date representation, i.e. the ISO standard 'YYYYMMDD' or 'YYYY-MM-DD'. Of course if you're holding the values in variables then use date | datetime datatype
declare #startdate date
declare #enddate date
select *
from student
where convert(date,LEFT(dob,8)) between #startdate and #enddate
Sidenote 2: Performing the functions on your table dob column would prevent any indexes on that column from being used to their full potential in your execution plan and may result in slower execution, if you can, define the correct data type for the table dob column or use a persistent computed column or materialised view if your performance is a real issue.
Sidenote 3: If you need to maintain the time portion in your data i.e. date and time of birth, use the following to ensure all records are captured;
select *
from student
where
convert(date,LEFT(dob,8)) >= '20150820'
and convert(date,LEFT(dob,8)) < dateadd(d,1,'20150828')
All you have to do is to convert first the string to date.
select *
from student
where dob between convert(date, '20150820') and convert(date, '20150828')
Why is this happening?
The comparison is executed from left to right and the order of characters is determined by the codepage in use.
Sort Order
Sort order specifies the way that data values are sorted, affecting
the results of data comparison. The sorting of data is accomplished
through collations, and it can be optimized using indexes.
https://msdn.microsoft.com/en-us/library/ms143726.aspx
There are problems with between in T-SQL.
But if you want a fast answer convert to date first and use >= <= or even datediff to compare - maybe write a between function yourself if you want the easy use like between and no care about begin and start times ...
What do BETWEEN and the devil have in common?
I want to select a varchar field as a date field
For example a field has this value "30.12.2011 21:15:03"
and when i select this
select DATE from TABLE where DATE = '30.12.2011'
i get no result.
You ask about getting the date part of a timestamp field, but what your question is actually about is filtering on the date of a timestamp field. There is a much simpler method of accomplishing that: you can use the knowledge that all the possible timestamps on a specific date won't have any timestamps for different dates between them.
select DATE
from TABLE
where DATE >= '30.12.2011' and DATE < '31.12.2011'
Your edit explains that you haven't got a timestamp field at all. Nevertheless, a similar approach may still work:
select DATE
from TABLE
where DATE LIKE '30.12.2011 %'
Or the Firebird-specific
select DATE
from TABLE
where DATE starting with '30.12.2011 '
Assuming the field is a date field, use the DATE introducer combined with yyyy-mm-dd (or TIMESTAMP with time as well).
So use:
select datefield from sometable where datefield = DATE '2011-12-30'
Technically you can leave off the introducer, but it is 'correcter' in the light of the SQL standard.
Assuming a TIMESTAMP field, you won't get results unless the timestamp is (always) at 00:00:00.0000 (in which case it should have been a DATE instead).
For the comparison to work, you need to use either BETWEEN, eg:
select timestampfield from sometable
where timestampfield BETWEEN '2011-12-30 00:00:00.0000' AND '2011-12-30 23:59:59.9999'
or truncate the timestamp to a date (this may adversely effect performance if the timestamp is indexed, because then the index can no longer be used), eg:
select timestampfield from sometable
where CAST(timestampfield AS DATE) = '2011-12-30'
If the date is stored in a VARCHAR field (which in itself is a bad idea), there are several solutions, first is to handle it as date manipulation:
select varcharfield from sometable
where CAST(CAST(varcharfield AS TIMESTAMP) AS DATE) = '2011-12-30'
The double cast is required if you have a time-component in VARCHARFIELD as well. This assumes dates in the supported format listed below. If you use BETWEEN as above, you can use a single cast to timestamp)
The other solution (as suggested by hvd) is to treat it purely as string manipulation, for example:
select varcharfield from sometable
where varcharfield STARTING WITH '30.12.2011'
This has its own set of problems if you want to select ranges. Bottomline: use a real TIMESTAMP field!
Note that Firebird supports multiple formats:
yyyy-mm-dd, eg 2014-05-25 (ISO-8601 format, probably best to use as it reduces confusion)
dd.mm.yyyy, eg 25.05.2014
mm/dd/yyyy, eg 05/25/2014
mm-dd-yyyy, eg 05-25-2014
dd mmm yyyy, eg 25 MAY 2014 (+ variations with a -, . or / as separator)
mmm dd yyyy, eg MAY 25 2014 (+ variations with a -, . or / as separator)
select DATE from TABLE where cast(DATE as date) = '30.12.2011'
Date field is a timestamp
Here is the answere to my question:
CAST
(
SUBSTRING
(field FROM 1 FOR 2)
||'.'||
SUBSTRING
(field FROM 4 FOR 2)
||'.'||
SUBSTRING
(field FFROM 7 FOR 4)
AS DATE)
This took me 5 hours to find this out, maybe there should be a "-" instead of "." but it works.
I have a table named book_data with batch_dt as column name of type varchar in sql server.
when I pass the query
SELECT DISTINCT batch FROM book_data
it gives me the following results
batch_dt
-------------
2012-10-31
-------------
2012-11-01
-------------
2012-11-02
-------------
2012-11-03
-------------
.
.
.
Now what I am doing is getting the total count of records between two dates. Fairly a simple query.
SELECT COUNT(*) FROM book_data WHERE CONVERT(varchar(12),CONVERT(datetime,batch_dt),101) BETWEEN '11/02/2012' and '10/31/2012'
the result is
112
and just by changing the month from 02 to 2 the query gives me 218 results
SELECT COUNT(*) FROM book_data WHERE CONVERT(varchar(12),CONVERT(datetime,batch_dt),101) BETWEEN '11/2/2012' and '10/31/2012'
why this different behaviour?
Use CAST(batch_dt AS DATE) instead, and pass the date in a language neutral manner, in the format YYYYMMDD. This way it will be comared as a date not as a varchar:
SELECT COUNT(*)
FROM book_data
WHERE CAST(batch_dt AS DATE)
BETWEEN '20121102' and '20121130'
But, this is not safe, if there was any value in barch_dt in a wrong format, you will get a casting error. In this case you can add ISDATE(batch_dt) = 1 to ensure that it is a valid data time. But it is better to make this column of datatype DateTime.
Another thing to note: is that BETWEEN is asymmetric in SQL Server, meaning that BETWEEN '11/02/2012' and '10/31/2012' is evaluated as:
DATE >= '11/02/2012'
AND
DATE <= '10/31/2012'
which will never be true, the reason it works for you is that the dates were be compared as strings not as a dates. But you have to keep it like BETWEEN the small value and the biggest value.
You compare string with BETWEEN. If you do so you need to make sure that you compare in the correct order => YYYYMMDD MM:SS would be a correct order.
If you can, add columns with type datetime and store real date time values in your database. If you can not do that you can split up the values and build a date value yourself. This is much slower then just use a CONVERT() or CAST() but you can make sure that it works even with wrong date-strings.
You can use PATINDEX(),LEFT(),RIGHT() keywords to get the values you need or you use a split() function (you can find many version google it, e.g. https://codereview.stackexchange.com/questions/15125/sql-server-split-function-optimized). If you use the split function, then split by / and then get year, month, day from the positions.
But best would be still to have correct datetime values stored in your db.
You get this different behavior because you don't compare the dates but the strings/varchars.
For a Date (or DateTime), 10/2/2012 is the same as 10/02/2012.
But for string, these values are (of course) different. It's just as if you'd compare 'abcd' with 'ab0cd'
SELECT COUNT(*)
FROM book_data
WHERE CONVERT(DATETIME,batch_dt,101) BETWEEN '11/2/2012' and '10/31/2012'
This would be more appropriate