SQL Server error Msg 245, Level 16 tells us that there was a problem when trying to convert a value to a specific data type.
You’ll get this error if you try to insert the wrong data type into a column.
To fix this issue, make sure the data type of the value you’re trying to insert, matches the column’s type.
Continue readingIn addition to the many data types available in SQL Server, you also have the option of creating your own data type. Some of these are referred to as “user-defined data types”, while others are referred to as “alias data types”.
A user-defined data type is implemented through a class of an assembly in the Microsoft.NET Framework common language runtime (CLR).
An alias data type is based on a SQL Server native system type. In other words, you use an existing data type for the basis of your alias data type.
Having said that, I’ve seen Microsoft use the term “user-defined data type alias” when referring to an alias data type. I’ve also seen it referred to as simply a “data type alias”.
Either way, this article demonstrates how to a create a user-defined data type alias using Transact-SQL.
This article highlights the main differences between the datetime and datetimeoffset data types in SQL Server.
Both data types are used for storing date and time values. But there are significant differences between the two.
Perhaps the most obvious difference is that the datetimeoffset stores the time zone offset, whereas datetime doesn’t.
Another important difference is that datetimeoffset allows you to specify the precision (up to 7 decimal places). This means that datetimeoffset values can vary in their storage size, depending on the precision being used.
The datetime type on the other hand, has a fixed storage size and precision.
This article looks at the main differences between the datetime2 and datetimeoffset data types in SQL Server.
Both data types are used for storing date and time values. Both are very similar, but with one key difference; the datetimeoffset stores the time zone offset.
This also results in datetimeoffset using more storage space than datetime2, so you would only use datetimeoffset if you need the time zone offset.
This article explores the main differences between the datetime and smalldatetime data types in SQL Server.
Both data types are used for storing date and time values, however, there are differences between the two. In most cases you’re better off avoiding both types and using datetime2 instead (Microsoft also recommends this). In any case, here’s a comparison of these two data types.
This article explores the main differences between the datetime2 and smalldatetime data types in SQL Server.
Both data types are used for storing date and time values, however, there are some important differences between the two. In most cases you’re better off using datetime2 (Microsoft also recommends this), however there might be some scenarios where you need to use smalldatetime.
This article explores the main differences between the datetime and datetime2 data types in SQL Server.
If you’re not sure which one to use, use datetime2 (see its advantages below).
In this article I look at the storage size of the time data type in SQL Server.
In particular, I look at the following:
DATALENGTH()DATALENGTH() after converting to varbinaryCOL_LENGTH()DBCC PAGE()In this article I look at how the datetimeoffset data type is stored in SQL Server, and how you can get different reported storage size results, depending on what you’re doing with it.
This is similar to what I did with the datetime2 data type.
In particular, I look at the following:
DATALENGTH()DATALENGTH() after converting to varbinaryCOL_LENGTH()DBCC PAGE()In this article I share some observations I’ve had regarding the datetime2 data type’s storage size in SQL Server. Perhaps I will clarify some points about the actual storage size used by this data type when stored in a database.
In particular, I look at the following:
DATALENGTH()DATALENGTH() after converting to varbinaryCOL_LENGTH()DBCC PAGE()Some of those seem to contradict each other, and you will see two different storage size amounts for the same value, depending on where you look.