Published Release Notes

Support for predictive models in PMML version 4.4

Pega Platform™ now supports the import of predictive models in Predictive Model Markup Language (PMML) version 4.4. With this feature, you can import PMML models that use the anomaly detection algorithm.

For a list of all supported PMML models, see Supported models for import. 

Automate business process tracking by importing Excel files

To track business processes status and data, you can now import Excel files when you create a case or data object in App Studio. This functionality provides the following enhancements:

• You can now upload a CSV file when you create a case or data object in App Studio. By importing a CSV file, you can use the data in your spreadsheet to define your data model.
• You can generate a data import template that you can use to import a file in its original format during production.
• You can upload .xlsx files to avoid resaving your Excel file as a CSV file.

For more information, see Creating a data model from a spreadsheet.

Data APIs support data exploration in React UI tables

Data APIs have been enhanced to support filtering, sorting, paging, and aggregation in React UI tables. You can use that functionality to access your data quickly and intuitively. For example, by using paging, you can query a data page to retrieve the second page of an employee contact list and specify the number of results that are displayed on the page.

For more information, see Data API performance and limitations.

Support for advanced validation of embedded and referenced data

To help you define validation conditions for a broader range of use case scenarios, Pega Platform™ now supports stage entry validation for embedded fields in the form of a validation matrix. You can now define validation conditions for both field groups and field group lists, and easily navigate between them. You can also select any fields and when conditions while building a condition for both field-level and stage-level validation.

For more information, see Validating field values for stage entry.

Support for application-specific REST API calls

You can now call an authenticated REST API in the context of any application that is listed on an operator record by using the application alias URL. With the application alias URL, you can also develop REST services without changing the access group in the service package. REST services run in the context of the access group that points to the provided application, instead of the access group that is specified in the service package.

For more information, see Invoking a REST service rule.

Complete email and notification approval in App Studio

App Studio now supports complete email approval configuration directly in the Case Designer. Email approval settings now include composing a new message or selecting a template, saving templates to a library for future reuse, and adding attachments to an email. Additionally, you can now send the approval as a push notification to mobile users. With full configuration of email approval in App Studio, you save time and create unique and personalized email messages and push notifications in a no-code, intuitive way. 

For more information, see Obtain approvals from email and push notifications from App Studio (8.5), Requesting approval by email and push notification.

Business logic routing of approval steps

Pega Platform™ now supports routing of approval steps by applying business logic, in both App Studio and Dev Studio. Business logic uses a set of conditions to determine the most appropriate worker to approve a case by routing the approval based on defined conditions. For example, in a loan request case, the application can route the approval step to a manager if the importance of the case is set to high. For greater accuracy, business logic can also use skill set, availability, and workload to determine the appropriate worker. With business logic routing, you increase work efficiency and speed up case resolution.

For more information, see Determine a relevant case approver by using business logic (8.5), Requesting approval from users.

Limits on active data flow runs

You can now configure a maximum number of concurrent active data flow runs for a node type. Set limits to ensure that you do not run out of system resources and that you have a reasonable processing throughput. If a limit is reached, the system queues subsequent runs and waits for active runs to stop or finish before queued runs can be initiated, starting with the oldest.

For more information see, Limit the number of active runs in data flow services (8.5).

Upgrade impact

If you have many data flow runs active at the same time, you might notice that some of the runs are queued and waiting to be executed.

What steps are required to update the application to be compatible with this change?

You do not have to take any action. After the active runs stop or finish, the queued runs start automatically. The default limits are intended to protect your system resources, and you should not see a negative impact on the processing of data flows. However, if you want to allow a greater number of active data flow runs to be active at the same time, you can change the limits. For more information, see Limiting active data flow runs.

Failed Robotic Assignments work queue type changed to Standard

The default Failed Robotic Assignments work queue type is now Standard. In previous releases, the default type was Robotic. For usage information, see Configuring a work queue for robotic automation.

Upgrade impact

After upgrading to Pega Platform 8.5 and later, you cannot save case types in which you configure the Queue for robot smart shape to route new assignments to the Failed Robotic Assignments work queue. Existing assignments that you routed to the Failed Robotic Assignments work queue are not affected.

How do I update my application to be compatible with this change?

As a best practice, do not use the Failed Robotic Assignments work queue in your custom implementations. Instead, configure the Queue for robot smart shape to route new assignments to a Robotic work queue. When possible, update existing case types to use the robotic work queues that you created in your application.

Support for Apache HBase 2.1 and Hadoop 3.0

Support for these versions extends Pega Platform™ compatibility with HBase releases to ensure that your database implementations integrate seamlessly with Pega Platform.

Pega Platform now supports:

• Apache HBase 2.1 for the HBase data set
• Apache Hadoop Distributed File System (HDFS) 3.0 for the HDFS data set

For more information, see Enhance your data sets with Apache HBase 2.1 and Hadoop 3.0 (8.5).