Here’s an example of specifying the culture: SELECT For example, if your date is, this could either mean 6 January 2018 or 1 June 2018, depending on the culture being used. You can add a third argument to specify which culture your string is formatted in. Result: Error converting string value 'Next Friday' into data type date using culture ''. However, it’s not psychic: SELECT PARSE('Next Friday' AS date) | Result 1 | Result 2 | Result 3 | Result 4 | PARSE('Fri 20 Jul 18' AS date) AS 'Result 4' PARSE('Friday, July 20 2018' AS date) AS 'Result 3', PARSE('Fri, 20 July 2018' AS date) AS 'Result 2', PARSE('Friday, 20 July 2018' AS date) AS 'Result 1', Here are some examples of the date being provided in various styles: SELECT The PARSE() function can usually work out the date you’re trying to convert, as long as you provide it as a valid representation of the requested data type. Keep the Time Part, But with Less PrecisionĪnd if you do need the time, but with less precision, you can always use the smalldatetime data type: SELECT PARSE('2:35:50pm, Friday, 20 July 2018' AS smalldatetime)īut if that’s not precise enough, there’s always the datetime data type: SELECT PARSE('2:35:50.5234pm, Friday, 20 July 2018' AS datetime) Here’s the result if we specify a date data type: SELECT PARSE('Friday, 20 July 2018' AS date) If you don’t need the time component, you can always parse it as a date data type. This data type includes the time component wth a high precision. In the previous example, we specified that the string should be parsed as a datetime2 data type. SELECT PARSE('Friday, 20 July 2018' AS datetime2) Here’s a basic example to demonstrate usage. Where string_value is the value you want to be parsed, data_type is the data type you want it parsed into, and culture is an optional argument that you can use to specify which language format to use when parsing the string. Here’s the syntax for the PARSE() function: PARSE ( string_value AS data_type ) So you can use it to “translate” your string value into a date/time data type (such as date, datetime, datetime2, etc). The PARSE() function returns the result of an expression, translated to the requested data type in SQL Server. But the PARSE() function will handle it without a problem. If you’ve ever encountered an error while trying to convert a string to a date/time data type, the PARSE() function could be what you need.įor example, if you have a string like say, Fri,, the CONVERT() or CAST() functions will throw an error. If you work with SQL Server, chances are you’ve used at least one of the CONVERT() or CAST() functions to convert from one data type to another.
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