Both CONVERT() and TRY_CONVERT() in SQL Server are used to convert data types, but they behave quite differently when something goes wrong. Understanding that difference can save you a lot of debugging time, especially when dealing with messy or unpredictable data.
Let’s look at when you should use each, and walk through an example that you can run yourself.
When you work with dates in SQL Server, you’ll often run into situations where a value can’t be converted directly to a datetime or date. This usually happens because the source data isn’t in a format SQL Server recognises, or because the value itself is out‑of‑range (e.g., “2025‑02‑30”). Fortunately, the built‑in conversion functions CAST() and CONVERT() provide us with enough flexibility to clean up those problematic values without resorting to messy string manipulation.
Below we’ll look at the most common scenarios, show how to diagnose the issue, and demonstrate how to fix it.
Data conversion errors can be a frequent source of frustration when working with databases. And SQL Server is no exception. Such errors can interrupt workflows and lead to inconsistent results. While data conversion errors often happen during explicit conversions, they aren’t unique to this. Oftentimes the error can be due to an implicit conversion.
This article outlines five of the most common data conversion errors and provides practical steps to avoid them.
When formatting dates in SQL Server you may be wondering whether to use CONVERT() or CAST(). After all, both functions allow us to convert between data types. Let’s take a look at at these two functions and figure out when to use each one.
DuckDB offers two primary functions for type conversion: cast() and try_cast(). While they serve similar purposes, their behavior when handling invalid conversions differs significantly, which can greatly impact our data processing workflows.
Encountering errors while converting between data types can be frustrating when working with SQL databases like DuckDB. But it usually means that something’s wrong. In most cases these errors occur because we’re trying to perform an impossible conversion, like from a number to a date or something.
But sometimes errors can get in the way, especially when we’re trying to convert a bunch of values. Sometimes it would be better for the system to return NULL for such failed conversions than to return an error and mess up the whole operation. Fortunately, we can do this.
Most SQL databases provide a cast() function and DuckDB is no exception. The purpose of the cast() function is to convert a value from one data type to another. This can also be referred to as casting the value as the other data type.
SQLite is a widely-used lightweight database engine that powers many mobile, embedded, and desktop applications. One of its key features is its dynamic type system, which allows flexibility in handling data. While this is advantageous in many scenarios, there are cases where developers need precise control over how data is treated or converted between types. This is where SQLite’s CAST() expression comes in.
In MySQL, CAST() is a built in function that converts a value to another data type. It takes a value of one type and returns a value of the specified type.
You provide the value as an argument when you call the function, as well as the type that you’d like it converted to.
CAST() works similar to CONVERT(), except that the syntax used is slightly different.
In MySQL, CONVERT() is a built in function that converts a value to another data type. It takes a value of one type and returns a value of the specified type.
We provide the value as an argument when we call the function, as well as the type that we want it converted to.
The CONVERT() function is similar to the CAST() function, which also converts between data types.
