We are pleased to announce the General Availability of Data Mapper for Azure Logic Apps in Visual Studio Code. Data Mapper is Azure Logic Apps’ visual data transformation tool that can help you both create maps and execute transformations. Users can easily define a data transformation that can be used in an Azure Logic Apps workflow to exchange messages between XML or JSON formats.
Data Mapper provides a modernized experience for data mapping and transformation that includes drag and drop gestures, a prebuilt functions library, custom extensibility and manual testing. You can use the tool to create maps for XML to XML, JSON to JSON, XML to JSON, and JSON to XML transformations. Once created, these maps can be called from workflows in your logic app project in both Visual Studio Code and Azure Portal.
Mapping and transformation in one tool
Easily map between source and target schemas in either XML or JSON format.
Reduces time spent manually coding maps and transformations.
XSLT file created can be used in any Azure Logic Apps projects requiring maps.
Visualization makes your data map easy to comprehend.
Able to view live code changes in the Show code panel when editing your data map.
Increased code efficiency by reducing manual coding time through drag and drop gestures.
Drag and drop gestures doesn't require extensive computer knowledge, making the experience more user-friendly.
Schema element input(s) drop down in Properties panel simplifies the process of changing values in code.
Prebuilt functions library
Create expressions using functions from the prebuilt library, which includes the following categories:
Date and time
Easily test your map with a sample message and view the output using the provided manual testing experience.
Boost Developer Productivity
Breadcrumb navigation increases productivity through efficient schema depth navigation.
Able to zoom in and out, allowing you to focus on a specific section of the map.
Mini-map view provides a quick and simple way to visualize your overall map.
Map checker panel provides warning checks with an issue description. Selecting a warning directs you to the location of the issue.
Convenient design elements
Properties panel for a schema element displays element code as comprehensible information, such as name, full path, data type, and inputs.
Data types of an element are easily identifiable with data type icons shown in schema tree.
Function category and usage are easily identifiable with category color and icons.
Top level view of target schema displays which children are in-progress or successfully mapped.
RegEx support provides the ability to validate data, transform data for consistency, and find and replace text values
Inline XSLT allows you to embed your own XSLT code directly into the map, making it easier to maintain your code and provide more flexibility.
Custom functions expands user capability, providing you with the ability to define any reusable function for your maps.
Custom XPath provides an easy way to query and transform your data to the target schema.
Since public preview, we have enhanced features and listened to your feedback to improve Data Mapper’s performance and usability. A few important updates to note:
Functions have been unlocked and are now moveable so users can drag and drop to rearrange their map as it fits their visual needs.
We have added a series of sequencing functions for arrays (Sort, Distinct, Filter, Reverse, and Subsequence) that are available to you in the prebuilt functions library.
Custom extensibility has been introduced to include RegEx support, Inline XSLT, custom functions, and custom XPath.
Name function has been added to support the Key/Value Pair Pattern in Data Mapper
We have merged the Data Mapper extension with the Azure Logic Apps extension on Visual Studio Code.
We have updated the Data Mapper experience to support Data Mapper in a Logic Apps Workspace that includes Custom Code.
Data Mapper outputs information in the order specified to the target schema.
To get started with creating your first map using Data Mapper, refer to the following documentation.
Data Mapper patterns
To learn more advanced scenarios for Data Mapper, check out this post on some other patterns we have available here.
As we transition from Data Mapper public preview to General Availability, we have merged extensions with the Logic Apps Standard extension. If you have older projects from the Data Mapper public preview, it is recommended to review your local.settings.json file to avoid debugging errors and runtime errors, ensure your local.settings.json reflects the following: