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Published Release Notes

Find release notes for the selected Pega Version and Capability

Browse resolved issues for Platform releases.

This documentation is for non-current versions of Pega Platform. For current release notes, go here.

Cassandra 3.11.3 support for Pega Platform

Valid from Pega Version 8.3

Increase your system's reliability and reduce its memory footprint by upgrading the internal Cassandra database to version 3.11.3.

For on-premises Pega Platform™ users, after you upgrade to Pega 8.3, it is recommended that you manually upgrade to Cassandra 3.11.3. You can upgrade to Cassandra 3.11.3 on all operating systems except IBM AIX. If you do not want to upgrade to Cassandra 3.11.3, you can continue to use Cassandra 2.1.20, which is still supported.

For Pega Cloud Services 2.13 and later versions, Cassandra automatically upgrades to version 3.11.3 after your environment is upgraded to Pega Platform 8.3.

For information on how to manually upgrade to Cassandra 3.11.3, see the Pega Platform 8.3 Upgrade Guide for your server and database at Deploy Pega Platform.

Upgrade impact

After an on-premises Pega Platform upgrade, you still have the older version of Cassandra and must manually upgrade.

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

To upgrade Cassandra, you must create a prconfig setting or a dynamic system setting with the new Cassandra version and then do a rolling restart of all the Decision Data Store nodes to upgrade them to the latest version of Cassandra.

 

Data synchronization does not resume after mobile app restart

Valid from Pega Version 8.3

If an offline-enabled mobile app that you build with Pega Infinity Mobile Client is stopped during an initial data synchronization session, the data synchronization does not resume when the mobile app is restarted. Users must not stop the mobile app before initial data synchronization finishes.

For more information about data synchronization, see Offline capability and Guidelines for creating an offline-enabled application.

Text analytics models editing and versioning

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:

 

Text analytics models migration

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:

Email approval and instantiation not supported on multitenant systems

Valid from Pega Version 7.2.1

The Enable email approval check box appears on the General tab of an approval step in Case Designer in multitenant systems. It also appears on the Approval shape in Designer Studio. In addition, in Designer Studio, the Settings tab in Case Designer displays the option to configure email instantiation. However, because configuring email listeners is not supported on multitenant systems, you cannot enable email approval or email instantiation.

MBean Javadocs download file

Valid from Pega Version 7.2.1

The Pega 7 Platform MBean Javadocs are no longer provided in the distribution image; however, you can download the MBeanJMXJavadoc.zip file that was previously provided in the distribution image.

You can also use JConsole, which is included with the Java Development Kit (JDK), to obtain MBean information. The JConsole MBean tab provides attributes, operations, notifications, and other information on all the MBeans that are registered with the MBean server.

Cannot send mobile push notifications when the Pega 7 Platform is hosted on WebSphere Application Server

Valid from Pega Version 7.2.1

Push notifications are not sent to Android or iOS mobile apps when the Pega 7 Platform is hosted on WebSphere Application Server.

The UpdateAdaptiveModels agent causes an exception after Pega 7.2 to 7.2.1 upgrade

Valid from Pega Version 7.2.1

After the Pega 7 Platform is upgraded from version 7.2 to 7.2.1, the log files might show an error that is caused by the UpdateAdaptiveModels agent. This agent is enabled by default and is responsible for updating scoring models in the Pega 7 Platform. If you use adaptive models in your solution, you can avoid this error by configuring the Adaptive Decision Manager service. If you do not use adaptive models, disable the UpdateAdaptiveModels agent.

For more information, see Configuring the Adaptive Decision Manager service and Pega-DecisionEngine agents.

Reconfiguration of the Adaptive Decision Manager service after upgrade to Pega 7.2.1

Valid from Pega Version 7.2.1

After you upgrade the Pega 7 Platform to version 7.2.1, you need to reconfigure the Adaptive Decision Manager service. Beginning with Pega 7.2.1, the Adaptive Decision Management (ADM) service is native to the Pega 7 Platform and is supported by the Decision data node infrastructure.

For more information, see Services landing page.

The worklist appears to be empty when you go back from an opened case in an offline-enabled mobile application

Valid from Pega Version 7.4

In a Pega® Platform offline-enabled application, when you go back to the worklist from an opened case, the worklist appears to be empty even though it contains cases. This issue will be fixed in the next release of Pega Platform. Only portals that use the key principles and design of the pyCaseWorker portal are supported in offline-enabled applications.

For more information, see Offline mobility guidelines.

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