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Published Release Notes

Find release notes for the selected Pega Version and Capability.

Browse resolved issues for Platform releases.

Valid from Pega Version 8.3

Repeating dynamic layouts now support pagination, so that you can display extensive sets of data in smaller portions. Additionally, you can add custom icons or messages to inform users whether more data is available.

For more information, see "Pagination" in Configuration options for layouts.

Valid from Pega Version 8.3

Pega Infinity Mobile Client™ now provides more flexible bottom bar configuration with a broader choice of actions, so that your apps can be more useful. For example, users can now create work items, open work items, or log out directly from the bottom bar of a mobile app.

For more information, see Configuring the bottom bar.

Valid from Pega Version 8.3

To simplify the configuration of a declare expression, the Change tracking tab has been removed from the declare expression rule form. To use the Change tracking tab, on the declare expression rule form, click Actions > Use legacy expression.

For more information, see Supported and unsupported configurations in simplified declare expressions.

Upgrade impact

The declare expression rules have been moved from the pr4_rule table to the new pr4_rule_declare_expression table.

The upgrade can fail if you customize the pr4_rule table, such as increasing the length of an existing column.

After a successful upgrade, the declare expression rule form is simplified and lightweight pages support declare expressions.

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

Read-only data pages by default are lightweight. You could also enable lightweight pages for:

Only simplified declare expressions are supported in lightweight pages. In simplified declare expressions, context-bound rules are not supported. However, a page context could be specified on the New or Save As form of declare expressions. For more information, see Declare Expression rules - Completing the New or Save As form.

Valid from Pega Version 8.3

The authentication/redirectguests server configuration and data-pega-redirectguests attribute have been removed and are no longer required when you configure a mashup. This prevents you from needing to maintain multiple nodes to support some use cases that require the configuration value to be true and other uses cases that require the configuration value to be false.

For more information, see Configuring the Mashup channel.

Valid from Pega Version 8.3

Pega Platform™ now supports a connection to external Cassandra clusters through a dedicated Database Table data set, which reduces the need for data ingestion and export. You can use custom tables that you store in your external Cassandra cluster in data flows for accessing and saving data. You can access your custom data model by mapping the model to a Pega Platform class.

For more information, see Integrating Cassandra with your application.

Valid from Pega Version 8.1

The use of MBeans for cluster management has been deprecated, although MBeans will continue to function for legacy deployments. The recommended best practice for automating system management is to use the Pega API. For more information, see Pega API.

Valid from Pega Version 8.3

The performance alert log now provides more detailed information about the data flows in your application. You can view performance details for data flows that are currently running and data flow runs that have completed successfully. You can also view a performance summary for data flow runs that are running for too long or have failed.

For more information, see:

Valid from Pega Version 8.3

Pega Platform™ now supports editing and updating training data for text analytics models.

Pega Platform also supports the versioning of text analytics models. When you update the model, Prediction Studio creates an updated model version. You can then switch between the model versions.

Upgrade impact

In versions of Pega Platform earlier than 8.3, the training data for text models was stored in the database. In Pega Platform version 8.3 and later, the training data for text models is stored in Pega Repository. You cannot build new models without setting the repository. After the repository is set, all text models are automatically upgraded and will work normally.

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

After a successful upgrade, set the repository in Prediction Studio before building or updating any Natural Language Processing (NLP) models.  In Prediction Studio, click Settings > Text Model Data Repository.

 

For more information, see:

 

Valid from Pega Version 8.3

Pega Infinity Mobile Client™ now provides a development kit that you can use to make mobile apps support advanced device features that are typically available to native applications, for example, an embedded laser scanner or a projector module, and integrate functions of external software solutions, for example, a cloud-based file storage.

For more information about enhancing mobile apps with device feature support, see the documentation for the development module in the latest Pega Infinity Mobile Client distribution package on Digital Delivery.

Valid from Pega Version 8.3

Pega Platform™ now supports the exporting and importing of text analytics models. For example, you can export a model to a production system so that it can gather feedback data. You can then update the model with the collected feedback data to increase the model's accuracy.

Upgrade impact

In versions of Pega Platform earlier than 8.3, the training data for text models was stored in the database. In Pega Platform version 8.3 and later, the training data for text models is stored in Pega Repository. You cannot build new models without setting the repository. After the repository is set, all text models are automatically upgraded and will work normally.

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

After a successful upgrade, set the repository in Prediction Studio before building or updating any Natural Language Processing (NLP) models.  In Prediction Studio, click Settings > Text Model Data Repository.

 

For more information, see:

All Pega product release notes can be found on their product pages.