The following example shows the results of converting a datetime value to a datetime2 value. Under database compatibility level , implicit conversions from datetime to datetime2 data types show improved accuracy by accounting for the fractional milliseconds, resulting in different converted values, as seen in the example above. Use explicit casting to datetime2 datatype whenever a mixed comparison scenario between datetime and datetime2 datatypes exists.
For more information, refer to this Microsoft Support Article. Conversions from string literals to date and time types are permitted if all parts of the strings are in valid formats. Otherwise, a runtime error is raised. Implicit conversions or explicit conversions that do not specify a style, from date and time types to string literals will be in the default format of the current session. The following table shows the rules for converting a string literal to the datetime2 data type.
The following example compares the results of casting a string to each date and time data type. Skip to main content. This browser is no longer supported. Download Microsoft Edge More info. Contents Exit focus mode. Is this page helpful? Please rate your experience Yes No. Any additional feedback? Note Under database compatibility level , implicit conversions from datetime to datetime2 data types show improved accuracy by accounting for the fractional milliseconds, resulting in different converted values, as seen in the example above.
The datetime data type has a maximum of 3 digits for its fractional seconds part. Its accuracy is rounded to increments of. The time data type, on the other hand, allows you to specify a fractional seconds precision from 0 to 7. This is achieved by using the time n syntax, where n is the scale from 0 to 7.
In this case, SQL Server performs an implicit conversion behind the scenes when we try to assign the datetime value to a time variable. This is to be expected, because the time data type is solely for storing time values, not date values. We can also see that the time variable has more fractional seconds precision, and we end up with a fractional part of vs for the datetime value. Upgrading the database to compatibility level and higher will not change user data that has been stored to disk.
You must manually correct this data as appropriate. For example, if you used SELECT INTO to create a table from a source containing a computed column expression described above, the data using style 0 would be stored rather than the computed column definition itself.
You must manually update this data to match style These examples retrieve the name of the product, for those products that have a 3 as the first digit of list price, and converts their ListPrice values to int. This value is rounded to the nearest whole number and is then CAST to an int data type. This example concatenates noncharacter expressions by using CAST. It uses the AdventureWorksDW database. 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 :.
This example converts a similar string with white space, text and markup into typed XML and preserves insignificant white space boundary white space between nodes :. This example is approximately the opposite of the previous example. This example shows that Style 1 can force result truncation. The characters 0x in the result set force the truncation. This example shows that Style 2 does not truncate the result, because the result does not include the characters 0x.
The following example defines a variable of type VARCHAR, assigns an integer value to the variable, then selects a concatenation of the variable with a string. If we provide a string that can be converted, the statement will succeed, as seen in the following example:. In this case, the string '1' can be converted to the integer value 1, so this SELECT statement will return the value 2.
This example retrieves the name of the product for those products that have a 3 in the first digit of their list price, and converts the ListPrice of these products to int.
This example calculates a single column value by dividing the product unit price UnitPrice by the discount percentage UnitPriceDiscountPct. This result is then rounded to the nearest whole number, and finally converted to an int data type.
This example uses the AdventureWorksDW database. This example converts the money column ListPrice to an int type, and then to a char 20 type, so that the LIKE clause can use it. This example is the rough opposite of the previous example. Skip to main content. This browser is no longer supported. Download Microsoft Edge More info. Contents Exit focus mode. Is this page helpful? Please rate your experience Yes No. Any additional feedback?
Tip A practical example on the effects of data type precedence in conversions can be seen later in this section. Note Because Unicode data always uses an even number of bytes, use caution when you convert binary or varbinary to or from Unicode supported data types. Warning Do not construct binary values, and then convert them to a data type of the numeric data type category.
In this article. For example, the value 'T Always 17 digits. Use for lossless conversion. With this style, every distinct float or real value is guaranteed to convert to a distinct character string. No commas every three digits to the left of the decimal point, and two digits to the right of the decimal point Example: Commas every three digits to the left of the decimal point, and two digits to the right of the decimal point Example: 3,
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