Syntax to convert 'Nov 23, 2019, 1:44 PM' to a datetime like 2019-11-23 13:44:25.000 format?
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I have been looking for a solution to convert one of my data fields which is in 'Nov 23, 2019, 1:44 PM' and has a datatype of a
nvarchar. When I use
convert(datetime,[Exam Scheduled Date/Tm],121) I get a error of
The conversion of a nvarchar data type to a datetime data type resulted in an out-of-range value.
The TRY_PARSE function appears to work:
DECLARE @DateString nvarchar(50) = 'Nov 23, 2019, 1:44 PM'; SELECT TRY_PARSE(@DateString AS datetime USING 'en-us')
CAST and CONVERT (Transact-SQL), This SQL Server tutorial explains how to use the CONVERT function in SQL Server (Transact-SQL) with syntax and examples. In SQL Server (Transact-SQL), the� These examples show use of CONVERT to convert data to typed XML, by using the XML Data Type and Columns (SQL Server). This example converts a string with white space, text and markup into typed XML, and removes all insignificant white space (boundary white space between nodes):
It turns out that format "107" is forgiving about whether there is a comma or not, so just replace all commas first then convert using format "107".
select convert(datetime, replace([Exam Scheduled Date/Tm],',',''),107) from ( select 'Nov 23, 2019, 01:44 PM' [Exam Scheduled Date/Tm] ) X
SQL Server: CONVERT Function, In this syntax: target_type is the target data type to which you wan to convert the expression. It includes INT , BIT ,� This SQL Server tutorial explains how to use the CONVERT function in SQL Server (Transact-SQL) with syntax and examples. In SQL Server (Transact-SQL), the CONVERT function converts an expression from one datatype to another datatype.
convert(datetime,REPLACE([Exam Scheduled Date/Tm],',',' '),100)
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Syntax - Conversion functions, Converting. A lot of data types are converted automatically. The window.alert function will convert any value passed in to a string. T-SQL Convert. The Convert function convert an value of one data type to another. Convert Syntax. CONVERT ( data_type [ ( length ) ] , expression [ , style ] )
- If you check the docs the closest format to what you are using is 107. However you still need to use some string manipulation to remove the comma after the year.
- did one of the answers resolve the issue for you? If so please consider accepting an answer. If they don't resolve it, please tell us why not.
- @user3537234 do consider accepting this as the answer if it solved it for you.
- Have you tried it? 'Nov 23,2019, 1:44PM' returns 2019-11-23 13:44:00.000.