Published Release Notes

Data pages can source information from a robotic desktop automation

You can now configure data pages to source information from robotic desktop automations (RDA). Using an RDA to source a data page allows you to connect your Pega Platform™ application to any application that is accessible from an end-user's desktop. By using automations to retrieve data and load it into a data page, you can use data virtualization to separate your Pega Platform data model from the physical interface of a legacy system against which the automation is running.

For more information, see Obtaining information from robotic automations.

Supported artifacts section removed from repository rule form

The Supported artifacts check box has been removed from the repository rule form. Developers can use repositories to provide centralized storage, versioning, and metadata support for application artifacts.

For information about repository connections, see Creating a repository for file storage and knowledge management.

New integration system resource

You can now define integration systems that you can use when you create data pages, integration connectors, and databases. Integration systems are associated with an icon that is displayed on the Integration Designer so that you can quickly view the systems that are used by your data types. This information is useful for assessing the effect of migrating to a new system of record and for understanding your data model.

For more information, see Creating an integration system.

Data view management added to Data Designer

You can now manage data views, called data pages in Dev Studio, in the Data Designer in App Studio. You can change a data view's data source without switching to Dev Studio. You can create a JSON mapping using a visual, drag-and-drop mapper.

For more information, see Data view management.

View data type relationships in Data Designer

You can now access a visual depiction of the relationships among data types from the Data Designer in App Studio. By understanding how data types depend on properties and other data types, you can extend your data model more quickly.

For more information, see Viewing data relationships.

Manage and visualize application data with the Integration Designer

Use the Integration Designer to manage data at the application level and to access a comprehensive view of all data objects in your application with their associated data. Additionally, from the Integration Designer, you can create data objects and map them to other objects and to systems of record.

For more information, see Managing application data with the Integration Designer.

Create and map data types in Integration Designer

Use the data type wizard in the Integration Designer to create data types and map them to systems of record. The data type wizard reduces complexity when creating and mapping data objects, resulting in reduced development time and a simpler workflow.

For more information, see Mapping fields.

PATCH support for REST integrations

REST connectors and REST services now include support for integrating with REST APIs that require using the PATCH method. REST integrations that support the PATCH method allow you to make partial updates to individual resources while retaining data that does not require an update. With PATCH support, you no longer need to write complex custom code to integrate with services that require using the PATCH method.

For more information about REST integrations, see Connect REST form - Completing the Methods tab.

Configure REST connectors for standard-compliant endpoints

REST connectors now support all standards-compliant endpoint URLs, regardless of how those URLs use query parameters.

This URL support allows you to do the following actions:

• Include repeated query string parameters in a URL.
• Omit a query string parameter if the value of the parameter is empty when you send a request.
• Apply appropriate encoding for different URL components.

For more information about REST connectors, see Connect REST form.

Elasticsearch reports support string comparison operators

To improve performance, reports that use string comparison operators in filters can now run queries against Elasticsearch instead of querying the database. The following operators are now supported for Elasticsearch queries.

• Starts with, Ends with, Does not start with, and Does not end with
• Contains and Does not contain
• Greater than, Less than, Greater than or equal, and Less than or equal

In cases where a query cannot be run against Elasticsearch, the query is run against the database, for example, if the query includes a join. To determine if a query was run against Elasticsearch, use the Tracer and enable the Query resolution event type. For more information, see Tracer event types to trace.