Published Release Notes

Specify the scope for rolling back rules and data to a restore point

Create restore points to save the state of all rules and data in your system at a significant point in time, for example, before you import an application. Roll back to that restore point to return the system to that state. Now, you can filter which rule and data instances are returned to their previous state:

• System: Roll back every rule and data instance that has a history record.
• User: Roll back rule and data instances modified by a specific user. If any rule was changed by more than one user, you will see an error message and must use the system rollback.
• Application: Roll back rule and data instances in a specific application.

For more information, see Using restore points to enable error recovery.

Improvements for test cases and assertions

The process of modifying test cases and assertions has been improved. Adjusting test cases to application changes is now much easier.

You now can:

• Select a page on which to run a tested rule.
• Change the class and rule of unit test cases.
• Create assertions that validate specific error messages on pages, properties, and activities.
• Automatically update decision result assertions with property changes made to a rule.
• Modify a rule's properties directly from decision result assertions.

For more information, see:

• Updating scenario tests
• Setting up your test environment
• Configuring page assertions
• Configuring property assertions
• Configuring decision result assertions

Simulation of data pages and third-party connections

When configuring your unit test case environment, you can now set up simulated data for connector and data page rules, instead of connecting to external sources.

By simulating such data calls, you are not dependent on any third-party server when running your tests.

This feature supports the following rules:

• Data page
• Connect-Cassandra
• Connect-CMIS
• Connect-dotNet
• Connect-EJB
• Connect-HBase
• Connect-HTTP
• Connect-Java
• Connect-JMS
• Connect-MQ
• Connect-REST
• Connect-SAP
• Connect-SAPJCo
• Connect-SOAP

For more information about simulating third-party connections, see Simulating data pages and third-party connections.

New branch quality dashboard

Pega Platform™ 8.4 introduces a new branch quality dashboard that shows the following metrics:

• The branch’s guardrail compliance score and the number of guardrail violations
• The percentage and number of unit tests that passed for the branch
• The percentage and number of rules that the tests cover
• Potential merge conflicts that can be addressed directly from the branch quality dashboard

For more information about the new branch quality dashboard, see Viewing branch quality and branch contents.

Rules can no longer access Pega internal Java packages

You can no longer create rules that access Java packages that reference internal APIs (syntax com.pega.platform.*.internal*). This change does not affect rules that access Pega public API packages.

If you encounter issues when running existing rules that reference internal Pega APIs, contact Pega Support.

Upgrade impact

After an upgrade to 8.4 and later, clients can no longer save new or modified rules that access Pega internal APIs; existing rules that reference internal APIs can still be run but cannot be modified. 

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

Following a software upgrade to 8.4 or later, clients can refactor existing rules into guardrail compliant rules. To find rules to refactor, run the validation tool from designer studio (Application > Tools > Validation) to identify what rules fail validation; failed rules that include the message "Test compilation failed : Illegal internal class reference : com.pega.internal.XYZ" can updated to reference appropriate APIs.

Client-server deployment of Hazelcast

Pega Platform™ now supports the client-server model for the Hazelcast service, which provides cluster communication and distributes Pega Platform features across nodes. This optional deployment model introduces independent scalability for both servers and clients in Pega Platform, improving stability for deployments that use a large number of nodes.

The Hazelcast client-server model is intended for select environments running Pega Platform 8.4 across a large number of nodes and should be deployed only when directed by Global Client Support.

Improved indexing performance by gradual retrieval of data

Search functionality in Pega Platform™ versions from 8.4.5 to 8.6 now includes the option to improve indexing performance when reading query results from a large table in a database. For example, to load the recommended 50 records at a time, in the Pega-SearchEngine ruleset, create the indexing/distributed/fetchsize dynamic system setting, and set the value to 50.

Creating the fetchsize dynamic system setting ensures that your system does not crash while indexing classes with numerous instances.

For more information, see Creating a dynamic system setting.