How to Filter Values in an Array Using ADF Data Flow

Learn how to filter specific values in an array using Azure Data Factory (ADF) Data Flow. This process can simplify data transformation and improve efficiency in your data pipeline.

Introduction to ADF Data Flow

Azure Data Factory (ADF) is a cloud-based data integration service that allows you to create, schedule, and orchestrate data workflows. One of the powerful features of ADF is Data Flow, which provides a visually designed, code-free way to transform data.

Filtering values in an array is a common requirement when processing data. This post will guide you through the steps of filtering an array in ADF Data Flow, using a practical example to help you understand the process.

Steps to Filter Values in an Array Using ADF Data Flow

Follow these steps to filter values in an array using ADF Data Flow:

1. Create a new Data Flow: Start by creating a new Data Flow in your ADF pipeline. Choose the Data Flow option in the ADF interface.
2. Add a Source: Add your source data to the flow. This could be a dataset from SQL Server, Blob Storage, or another supported source.
3. Use the 'Filter' Transformation: Add a Filter transformation to the data flow. The Filter transformation allows you to specify conditions to filter your data.
4. Set Array Filtering Condition: To filter array elements, use an expression in the filter. For example, you can use the following expression to filter out null values:

   @not(isNull(item()))

   This expression checks each item in the array and removes null values.
5. Define Your Output: After filtering the array, you can define how you want to output the transformed data. You can write it to another dataset, such as a Blob Storage or SQL database.

Example: Filtering Values in an Array

Here’s a simple example to filter values in an array using ADF Data Flow:

        @arrayFilter(items, item -> item > 10)
        

This example filters the array to only include values greater than 10. The arrayFilter function allows you to specify a condition to include or exclude items based on their value.

Conclusion

Filtering values in an array using ADF Data Flow is a straightforward process that can help you efficiently process and transform data in your Azure Data Factory pipelines. By following the steps and examples in this guide, you can begin to leverage ADF Data Flow’s powerful transformation capabilities in your data workflows.

Posted on CodeToCareer | For more data transformation tips and tutorials, visit CodeToCareer.

Resource	Link
Follow us on Linkedin	Click Here
Ways to get your next job	Click Here
How your resume should be to attract companies	Click Here
Check Out Jobs	Click Here
Read our blogs	Click Here