Published Release Notes

Extract data from Pega Cloud to an on-premises database

You can now use Pega^® Business Intelligence Exchange (BIX) to extract data from Pega Cloud to an on-premises relational database management system. Extracting data from Pega Cloud directly to an on-premises database improves efficiency by eliminating the need for file extraction and the development of a file extraction infrastructure.

For more information, see Extracting data from Pega Cloud to an on-premises database.

Improved connection pooling performance

HikariCP is now used for connection pooling for databases that are configured by using a URL. HikariCP improves connection pooling performance; however, more database connections might be used than in previous versions of Pega^® Platform.

As a result of the switch to HikariCP, you cannot use the System Management Application (SMA) to get diagnostic data from your application. For instructions about how to get diagnostic data by using REST services, see Obtaining connection pool diagnostic data by using REST services.

No longer supported translator configuration options

The following translator configuration options are not needed and are no longer supported. If you previously configured any of these system settings, remove them from the system settings to avoid a warning message. For example, if you set translator/useparserfamily, the following message is displayed at startup: "Translator option, 'translator/useparserfamily' is not needed and no longer supported. Remove this from the system settings."

• translator/useparserfamily
• translator/usecodegenerator
• translator/usenativedouble
• translator/optimization/use71BlockAnalysis
• translator/optimization/use71ConstantFolding
• translator/optimization/use71AssignmentTypeSimplification
• translator/optimization/use71IntrinsicFunctions
• translator/use71PropSetGeneration
• translator/use71ParserAssignment
• assembly/model/useBlock4ContiguousSets
• /translator/pandc/comparepandcalgorithms
• /translator/pandc/use6xalgorithms
• /Compatibility/CheckForTopLevelClassMismatch

In addition, the com.pega.pegarules.generation.parseoverride bootstrap option is no longer supported. Remove this option from the system settings.

System state data is saved for 90 days

System state data is now saved to the database for 90 days and can be downloaded as a JSON file. Having previous system state data available is useful for debugging system problems. Operators with the pzSystemOperationsObserver privilege can download system state data from the Cluster Management landing page for either the entire cluster or a single node. In addition, the PersistClusterState and PersistNodeState agents have been added to the Pega-RulesEngine ruleset for persisting system state data to the database.

For more information, see Downloading the system state.

PegaDATA connection settings now required in the prconfig.xml file

If you use the default prconfig.xml file that is included with Pega^® Platform, and you have not removed the PegaDATA connection settings, no action is required. If you use a custom prconfig.xml file, for example, for running tests, ensure that the database connection settings for PegaDATA are not blank.

For more information about the connection settings, see PegaDATA connection settings in the prconfig.xml file.

Node classification replaces NodeID-based configuration

For simpler cluster administration and better application resiliency, Pega^® Platform is moving toward a node classification model. Although agents will continue to work by using NodeIDs for several upcoming releases, use node types instead of NodeID configuration for agents, listeners, and decisioning services for more efficient operations and upgrades.

For more information, see Node classification.

Automatically update dependent applications to use the latest versions of built-on applications

You can now automatically update dependent applications to use the latest versions of built-on applications. When you import an archive that you created from a product rule, you can update all dependent applications to be built on the latest application versions in the archive.

For more information, see Updating dependent applications with the latest versions of built-on applications.

Alerts for long-running queue processor and job scheduler activities

Pega Platform™ now saves an alert in the performance alert log when a queue processor activity or a scheduled job runs longer than the configured threshold value. Use the alerts to identify potential performance issues with long-running processes.

The alerts are enabled by default. You can change the alerts for dedicated queue processors and job schedulers at the rules level. For standard queue processors, you can also set the threshold value for the Queue-For-Processing command in an activity. You disable the alerts in dynamic system settings.

For more information, see:

• PEGA0117 alert: Long-running queue processor activity
• PEGA0118 alert: Long-running job scheduler activity

Introduction of Search and Reporting Service

Pega Platform™ now uses Search and Reporting Service, which is an independent microservice. The new enhancement provides a convenient way to manage your application data, and is easier to maintain. For example, because of the cloud-based architecture of Search and Reporting Service, any bug fixes and performance improvements occur seamlessly, and have no impact on your overall experience in Pega Platform.

For more information, see Search and Reporting overview.

Ability to restrict access to the Import wizard

You can now restrict access to the Import wizard so that users implement an automated pipeline to deploy changes between environments such as staging and production. Deployment Manager is one method by which to create pipelines. By using pipelines to propagate changes, users can apply a standardized and automated deployment process for migrating their applications.

For more information, see:

• Ensuring that users migrate applications with a pipeline by restricting the Import wizard
• Understanding model-driven DevOps with Deployment Manager