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.

Improved search indexing performance

Search indexing now uses a queue processor to improve indexing performance. Indexing can automatically restart if the database goes down temporarily. This saves time and manual action. As a result of using the queue processor for indexing, the following changes have been made to the Search Landing page.

• You cannot cancel indexing from the Search landing page. Cancel indexing by stopping the queue processor from the Data flow landing page.
• The progress message is not shown. View progress on the Queue Processor landing page.
• Queue processor information has been added.

For more information, see Stopping or pausing search reindexing.

More visibility of your production level

You can now see the production level of your environment in a new gadget that is available in all Pega Platform™ workspaces. To ensure that you immediately recognize your current environment, you can give it a unique name that is displayed when you click the gadget. In addition to specifying your production level and environment name on the System form in Dev Studio, you can now specify those values on the System & nodes page in Admin Studio.

For more information on Admin Studio, see Modifying your environment name and production level.

For more information on Dev Studio, see Specifying the production level.

Rule revalidation after updating properties without restarting nodes

When you update certain property attributes, such as a property's maximum length, rule types that reference the property might not reflect the change. You do not always have to restart nodes to revalidate the referencing rules when they cannot be resaved, for example, when they are in a locked ruleset. For Pega Platform™ 8.1 and later, for non-stream rules, such as activities, data transforms, and so on, use the reassemble API in Admin Studio or truncate the assembled classes table.

For stream rules, such as sections, harnesses, paragraphs, and so on, reassemble the rules and restart the nodes. For more information, see More about properties.

For previous versions of Pega Platform, use the System Management Application (SMA) to revalidate stream and non-stream rules.

Changes in JSON results when checking the health of your system

Beginning with Pega Platform™ 8.2, the JSON results that are returned when you ping a Pega Platform instance have changed. JSON results now include node type and health information, including test name, status, state, and node ID. The following samples show JSON results from versions before 8.2 and as of 8.2.

JSON results for pre-Pega Platform 8.2:

{ "duration":"3954.448601", "count":"0" }

JSON results for Pega Platform 8.2 and later:

{"node_type":["WebUser"],"health":[{"last_reported_time":"2019-02-14T16:10:49.589Z","test_name":"Sample-Stream-Check","status":"success"}],"state":"healthy","node_id":"10.10.10_samplenode"}.

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.

Updated default dynamic system setting for requestor pools

Clients can now enable or disable requestor pools for processing service requests using a new dynamic system setting called EnableRequestorPools with Pega-IntegrationEngine as the owning rulest. Previously, all deployments utilized requestor pools to improve service processing response efficiency; requestor pools eliminated overhead by automatically returning a requestor to the pool after it fulfills a service request. Starting in Pega Platform 8.4, requestor pools are disabled in Client-managed cloud deployments, since these deployments use autoscaling to handle service request traffic. Enabling requestor pools in Kubernetes environments is not recommended, because they can inhibit the default autoscaling settings in the environment.

Requestor pools remain enabled by default in Pega Cloud and on-premises environments.

To help clients navigate this change, Pega has updated its best practice guidance for configuring requestor pools. For an overview, see Requestor pooling for services. For guidance on the use of requestor pools in your application, see the EnableRequestorPools entry in Dynamic system settings data instances.

Upgrade impact

Requestor pools are disabled by default in Pega Platform 8.4 in client-managed cloud deployments. Clients who deployed previous versions of Pega Platform on a Kubernetes environment and who upgrade to Pega Platform 8.4 could see that their services behave differently.

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

If clients that are deployed in a Client-managed cloud environment need to configure their services to use requestor pools and they understand how to configure requestor pools for their optimized use, these clients can re-enable requestor pools. Clients should review the best practice for configuring requestor pools before they re-enable requestor pools. To re-enable requestor pools, you modify the EnableRequestorPools setting in the Pega-IntegrationEngine Owning ruleset from “disabled” to Enabled [no value]. For details, see Editing a dynamic system setting.

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.