There is already a Datecolumn in Table which is in Numeric DataType(Converted to Int for faster ODBC Transfer), How can i convert that number to Data again?
Example the Values are like
42508
42826
43191
42158
42527
Which are nothing but like
SELECT CONVERT(numeric, getdate())
Query Result
43571
Just want to know how can i convert back that to normal date ?
You may use next conversion:
SELECT CONVERT(date, DATEADD(day, 43570, 0))
which will output:
17/04/2019 00:00:00
In this case SQL Server will use implicit data type conversion, because DATEADD() allows datetime datatype as third parameter and DATEADD() will convert 0 to 1900-01-01.
Related
NPD.CreatedOn is defined as a datetime datatype column (in SQL Server).
SELECT *
FROM NPDMaster NPD
WHERE DATEDIFF(MONTH, CONVERT(VARCHAR(7), NPD.CreatedOn, 126), CONVERT(VARCHAR(30), GETDATE(), 126)) <= 6
I get this error:
Conversion failed when converting date and/or time from character string.
What can I try to resolve it?
Don't use things like DATEDIFF in the WHERE on your columns, such queries aren't SARGable and thus can (will) perform poorly. If you want rows where the date is on or after the start of the month 6 months ago then do the date logic on GETDATE()/SYSDATETIME()/etc:
SQL Server doesn't have a "start of month" function, but you can use EOMONTH and then add a day:
SELECT *
FROM dbo.NPDMaster NPD
WHERE NPD.CreatedOn >= DATEADD(DAY, 1, EOMONTH(GETDATE(),-7));
You don't need to convert the datetime values to text. DATEDIFF() expects datetime values as second and third argument:
SELECT *
FROM NPDMaster NPD
WHERE DATEDIFF(month, NPD.CreatedOn, GETDATE()) <= 6
The actual reason for the error (as is explained in the documentation), is that ...DATEDIFF implicitly casts string literals as a datetime2 type.
I'm trying to convert a column in SQL Server Express from a datetime2(7) format to a date format.
I have tried convert, a number of different ways with brackets and parenthesis but I'm having issues either with 'binding' or syntax.
dbo.stateByStatehood.annexDate
USE bigCity
--1.
SELECT CONVERT(datetime2(7), GETDATE()) annexDate;
--2.
SELECT CONVERT (datetime2(7)), stateByStatehood.annexDate date
You can go for cast to date datatype as given below:
SELECT CONVERT(date, GETDATE()) as annexDate;
SELECT CAST(GETDATE() AS DATE) as annexDate
annexDate
2021-08-27
This is for SQL Server 2016.
Column
MyDate
---------
20200915
20201007
Unfortunately the data type is numeric(8,0)
I am trying to get date as
2020-09-15 00:00:00
2020-10-07 00:00:00
Code:
convert(varchar, MyDate, 120)
Please suggest
Thanks
You could write this as:
convert(date, convert(varchar(8), mydate))
SQL Server does not allow converting an integer to a date directly, so we need an intermediate casting to a string. If you want a date an time, use datetime instead of date.
If there is a chance that some of your numeric dates might be invalid, you can use try_convert() instead of convert().
Another option is arithmetics and datefromparts() (I doubt that is is more efficient):
datefromparts(mydate / 10000, (mydate % 10000) / 100, mydate % 100)
I've got a table that currently has all columns stored as nvarchar(max), so I'm converting all the datatypes to be what they should be. I have a column of dates, however when I run this:
ALTER TABLE Leavers ALTER COLUMN [Actual_Termination_Date] date;
I get
"Conversion failed when converting date and/or time from character string".
This is relatively normal, so I did the following to investigate:
SELECT DISTINCT TOP 20 [Actual_Termination_Date]
FROM LEAVERS
WHERE ISDATE([Actual_Termination_Date]) = 0
which returned:
NULL
13/04/2017
14/04/2017
17/04/2017
19/04/2017
21/04/2017
23/04/2017
24/04/2017
26/04/2017
28/04/2017
29/03/2017
29/04/2017
30/04/2017
31/03/2017
42795
42797
42813
42817
42820
42825
The null and excel style date formats (e.g. 42795) are no problem, however it's the ones appearing as perfectly normal dates I'm having a problem with. I usually fix issues like this by using one of the following fixes:
SELECT cast([Actual_Termination_Date] - 2 as datetime)
FROM LEAVERS
WHERE ISDATE([Actual_Termination_Date]) = 0
or
SELECT cast(convert(nvarchar,[Actual_Termination_Date], 103) - 2 as datetime)
FROM LEAVERS
WHERE ISDATE([Actual_Termination_Date]) = 0
When these return back the dates as I would expext, I'd then do an UPDATE statement to change them in the table and then convert the column type. However I keep getting an error message telling me that various dates can't be converted such as:
Conversion failed when converting the nvarchar value '21/04/2017' to data type int.
Any thoughts? Thanks!
Probably because of your language setting. For '21/04/2017' to work, you'll need to be using the BRITISH language, or other language that uses dd/MM/yyyy. I suspect you are using ENGLISH which is actually American.
American's use MM/dd/yyyy meaning that '21/04/2017' would mean the 4th day of the 21st month in the year 2017; obviously that doesn't work.
The best method is to use an unambiguous format, regardless of language and data type. For SQL Server that's yyyyMMdd and yyyy-MM-ddThh:mm:ss.nnnnnnn (yyyy-MM-dd and yyyy-MM-dd hh:mm:ss.nnnnnnn are not unambiguous in SQL Server when using the older datetime and smalldatetime data types).
Otherwise you can use CONVERT with a style code:
SELECT CONVERT(date,'21/04/2017', 103)
The problem with your data, however, is that you have values that are in the format dd/MM/yyyy and integer values. The int (not varchar) value 42817 as a datetime in SQL Server is 2017-03-25. On the other hand, if this data came from Excel then the value is 2017-03-23. I am going to assume the data came from Excel, not SQL Server (because the ACE drivers have a habit of reading dates as numbers, because the thing they aren't is "ace").
You'll need to therefore convert the values to an unambiguous format first, so that'll be yyyyMMdd. As we have 2 different types of values, this is a little harder, but still possible:
UPDATE dbo.Leavers
SET Actual_Termination_Date = CONVERT(varchar(8), ISNULL(TRY_CONVERT(date, Actual_Termination_Date, 103), DATEADD(DAY, TRY_CONVERT(int, Actual_Termination_Date),'18991230')), 112);
Then you can alter your table:
ALTER TABLE dbo.Leavers ALTER COLUMN [Actual_Termination_Date] date;
DB<>Fiddle using Michał Turczyn's DML statement.
Put the column into a canonical format first, then convert:
update leavers
set Actual_Termination_Date = try_convert(date, [Actual_Termination_Date], 103);
ALTER TABLE Leavers ALTER COLUMN [Actual_Termination_Date] date;
The update will do an implicit conversion from the date to a string. The alter should be able to "undo" that implicit conversion.
Back up the table before you do this! You are likely to discover that some dates are not valid -- that is pretty much the rule when you store dates as strings although in a small minority of cases, all date strings are actually consistently formatted.
The actual date does not matter. The error happens when you try to subtract 2 from a string:
[Actual_Termination_Date] - 2
The clue comes from the error message:
Conversion failed when converting the nvarchar value '21/04/2017' to data type int.
To fix the problem, use DATEADD after the conversion:
SELECT DATEADD(days, -2, convert(datetime, [Actual_Termination_Date], 103))
You just have inconsistent date format within your column, which is terrible.
Having wrong datatype lead to it, that's why it is so important to have proper data types on columns.
Let's investigate it a little:
-- some test data
declare #tbl table (dt varchar(20));
insert into #tbl values
(NULL),
('13/04/2017'),
('14/04/2017'),
('17/04/2017'),
('19/04/2017'),
('21/04/2017'),
('23/04/2017'),
('24/04/2017'),
('26/04/2017'),
('28/04/2017'),
('29/03/2017'),
('29/04/2017'),
('30/04/2017'),
('31/03/2017'),
('42795'),
('42797'),
('42813'),
('42817'),
('42820'),
('42825');
-- here we handle one format
select convert(date, dt, 103) from #tbl
where len(dt) > 5
or dt is null
-- here we handle excel like format
select dateadd(day, cast(dt as int), '1900-01-01') from #tbl
where len(dt) = 5
So, as you can see you have to apply to different approaches for this task. CASE WHEN statement should fit here nicely, see below SELECT:
select case when len(dt) = 5 then
dateadd(day, cast(dt as int), '1900-01-01')
else convert(date, dt, 103) end
from #tbl
I am working on a project in which dates and times ar stored as a varchar e.g. "30-11-2017,7:30" first date in dd-mm-yyy format and then time separated with a comma. I am trying to filter on it but it is not working correctly kindly guide me how to filter data on date.
select *
from timetrack
where startDateAndTime >= '30-11-2017,7:30'
In attached image records have been shown. When I apply above query it shows no records
You can easily convert your date to SQL datatype datetime uisng parse function, for example select parse('30-11-2017,7:30' as datetime using 'it-IT').
So, in your case, you can apply this function in where clause, so you can easily apply comparison between dates:
select *
from timetrack
where parse(startDateAndTime as datetime using 'it-IT') >= '2017-11-30 07:30:00.000'
Your format is apparently italian :) But you have to specify your own date in the format convertable to datetime, as I have done in above example.
NOTE: parse is available starting with SQL Management Studio 2012.
Unless you are using ISO date format (yyyy-MM-dd HH:mm:ss or close) applying ordering (which inequalities like greater than or equal use) will not work: the date order is disconnected from the string ordering.
You'll need to parse the date and times into a real date time type and then compare to that (details of this depend on which RDBMS you are using).
If, you want to just filter out the date then you could use convert() function for SQL Server
select *
from timetrack
where startDateAndTime >= convert(date, left(#date, 10), 103)
Else convert it to datetime as follow
select *
from timetrack
where startDateAndTime >= convert(datetime, left(#date, 10)+' ' +
reverse(left(reverse(#date), charindex(',', reverse(#date))-1)), 103)
You need the date in a datetime column, Otherwise you can't filter with your current varchar format of your date.
Without changing the existing columns, this can be achieved by making a computed column and making it persisted to optimize performance.
ALTER TABLE test add CstartDateTime
as convert(datetime, substring(startDateAndTime, 7,4)+ substring(startDateAndTime, 4,2)
+ left(startDateAndTime, 2) +' '+ right(startDateAndTime, 5), 112) persisted
Note: this require all rows in the column contains a valid date with the current format
Firstly, you need to check what is the data that is entered in the 'startDateAndTime' column,then you can convert that varchar into date format
If the data in 'startDateAndTime' column has data like '30-11-2017,07:30', you would then have to convert it into date:
SELECT to_date('30-11-2017,07:30','dd-mm-yyyy,hh:mm') from dual; --check this
--Your query:
SELECT to_date(startDateAndTime ,'dd-mm-yyyy,hh:mm') from timetrack;