Type.Facets

What is Type.Facets?

Type.Facets is a Power Query M function that is used to apply specific constraints to a column. These constraints are referred to as facets. The function takes two arguments: the first argument is the column, and the second argument is a record that defines the facets to apply. The facets that can be applied include:

– Maximum: Specifies the maximum value of the column.

– Minimum: Specifies the minimum value of the column.

– Nullable: Specifies whether the column can contain null values.

– Unique: Specifies whether the column can contain duplicate values.

– Items: Specifies the data type of the items in a list column.

– TextEncoding: Specifies the text encoding of a text column.

M Code Behind Type.Facets

To understand the M code behind Type.Facets, we need to take a closer look at the syntax of the function. The syntax of the Type.Facets function is as follows:

The first argument of the function is the column that we want to apply the facets to. The second argument is a record that defines the facets to apply. The record consists of one or more key-value pairs, where the key is the name of the facet, and the value is the value of the facet. For example, to apply a maximum constraint to a column, we use the following syntax:

This will apply a maximum constraint of 100 to the column. If the column contains a value greater than 100, an error will be generated.

Let’s take another example. Suppose we want to apply a unique constraint to a column. The syntax would be as follows:

This will apply a unique constraint to the column, which means that the column cannot contain duplicate values.

Advantages of Using Type.Facets

There are several advantages to using Type.Facets in Power Query M. Some of these advantages include:

– Improved data quality: By applying constraints to a column, we can improve the data quality and ensure that the data is accurate and consistent.

– Reduced data processing time: By applying constraints, we can reduce the processing time of the data. For example, if we apply a maximum constraint to a column, we can eliminate the need to process values above the maximum value.

– Easier data management: By applying constraints, we can make it easier to manage the data. For example, if we apply a unique constraint to a column, we can eliminate the need to check for duplicate values.

Best Practices for Using Type.Facets

To get the most out of the Type.Facets function, it is important to follow some best practices. Some of these best practices include:

– Use constraints sparingly: Only apply constraints when they are necessary. Applying too many constraints can make it difficult to work with the data.

– Test the constraints: Always test the constraints to ensure that they are working as expected. This will help to avoid errors and ensure that the data is accurate.

– Document the constraints: It is important to document the constraints that are applied to a column. This will help to ensure that the data is consistent and can be easily managed.

The Type.Facets function is a powerful tool that can be used to apply constraints to columns in Power Query M. By applying constraints, we can improve the data quality, reduce data processing time, and make it easier to manage the data. To get the most out of the function, it is important to follow some best practices, such as using constraints sparingly, testing the constraints, and documenting the constraints. By following these best practices, we can ensure that the data is accurate, consistent, and easy to work with.

Power Query and M Training Courses by G Com Solutions (0800 998 9248)

Upcoming Courses

Contact Us