Dax Function: INFO.ANNOTATIONS

Category: INFO Functions

The INFO.ANNOTATIONS function in Power BI is a DAX function used to retrieve metadata annotations associated with objects in the data model, such as tables, columns, or measures. These annotations typically store custom information or properties added during data modeling.

Purpose

The function is primarily designed for:

  • Accessing and analyzing metadata annotations.

  • Providing insights into custom properties or configurations that are embedded within the model.

  • Facilitating dynamic reporting or auditing by revealing hidden or implicit information.

Type of Calculations It Performs

The INFO.ANNOTATIONS function does not perform calculations in the traditional sense. Instead, it retrieves metadata entries for objects, which may include:

  • Custom tags or descriptions.

  • Configuration properties added during ETL (Extract, Transform, Load) processes.

  • Data lineage or documentation annotations.

Practical Use Cases

  • Model Auditing: Analyze and validate annotations to ensure correct configurations.

  • Dynamic Reporting: Use annotations to adjust report elements dynamically.

  • Documentation: Generate automated schema reports, including annotations.

  • Debugging and Optimization: Identify and troubleshoot metadata-related issues.


INFO.ANNOTATIONS(<object>)</object>

ParameterTypeDescription
<object>Scalar, TableSpecifies the model object (table, column, or measure) to retrieve annotations for.

How Does INFO.ANNOTATIONS Dax Works

  • Annotation Query: The function queries the model’s metadata for a specific object.

  • Result Compilation: It compiles a table containing the annotation names and their corresponding values.

 

What Does It Return?

The function returns a table containing:

  • Annotation Name: The name of the annotation.

  • Annotation Value: The associated value or data of the annotation.

  • Object Reference: The object to which the annotation belongs.

For example:

Annotation NameAnnotation ValueObject Reference
Description“Sales Data Table”Sales
Data Lineage“ETL Process”Orders

When Should We Use It?

  • When you need to access or validate metadata annotations embedded in the model.

  • To dynamically drive visual elements or logic based on annotation properties.

  • During the development and auditing phases to understand custom configurations or tags.

Examples

Basic Usage :

Retrieve annotations for a table named Sales:


INFO.ANNOTATIONS(Sales)

Output:

Annotation NameAnnotation Value
Description“Sales Data Table”
Custom Property“Active”

Column Usage

Retrieve annotations for a specific column:


INFO.ANNOTATIONS(Sales[Amount])

Output:

Annotation NameAnnotation Value
Format String“$#,##0.00”
Custom Property“Critical Measure”

Advanced Usage

Combine with filtering to identify critical annotations:


FILTER(INFO.ANNOTATIONS(Sales), [Annotation Name] = "Critical Measure")

Tips and Tricks

  • Combine with Filters: Use DAX filtering functions to isolate annotations of interest.

  • Audit Models Regularly: Use this function as part of your quality assurance process.

  • Leverage for Automation: Automate schema generation or data lineage reports using annotations.

Potential Pitfalls

  • Performance: Retrieving annotations for large models or many objects can be resource-intensive.

  • Annotation Availability: Not all objects may have annotations. Ensure proper configuration during model development.

Performance Impact of INFO.ANNOTATIONS DAX Function:

  • Efficient for small-scale use.

  • Consider pre-aggregating or exporting results for large datasets to avoid performance bottlenecks.

Related Functions You Might Need

Want to Learn More?
For more information, check out the official Microsoft documentation for INFO.ANNOTATIONS You can also experiment with this function in your Power BI reports to explore its capabilities.

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1. What is the INFO.ANNOTATIONS function in Power BI?

It retrieves metadata annotations for objects in the Power BI data model.

2. What types of annotations can it return?

It can return properties such as descriptions, custom tags, and data lineage information.

3. Can it retrieve annotations for measures?

Yes, the function can retrieve annotations for measures, columns, and tables.

4. Is it resource-intensive?

It can be for large models. Use filters to optimize performance.

5. What are practical use cases for this function?

Use it for auditing, documentation, dynamic reporting, and debugging metadata configurations.