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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.

 

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:

End of support for form-based rule forms in Pega 7.1.9

Valid from Pega Version 7.1.9

Rule forms that are configured to render as forms are no longer supported in Designer Studio or end-user applications. Form-based configurations are found on custom rule types that were created in earlier versions of Pega 7 and are characterized by pop-up windows that are rendered externally from Designer Studio.

Reconfigure Pega 7 applications that use such rule forms by using standard harnesses and sections.

  1. Open the class form.
  2. Click the Advanced tab.
  3. Select Harness from the Rule formmenu.
  4. Create a new harness and new sections that implement the logic of the custom rule, using standard user interface layouts and controls.

Migrating custom rule forms to harnesses and sections offers the following benefits:

  • User interfaces become HTML5 WC3 compatible and responsive to different screen sizes.
  • User interfaces become cross-browser compatible, rendered consistently in Google Chrome, Mozilla Firefox, Apple Safari, and recent versions of Microsoft Internet Explorer.
  • Rendering performance on modern browsers is dramatically improved.
  • User interface pop-up behavior is eliminated; all windows are rendered inside Designer Studio and end-user applications.

Context-specific documentation is not available in express mode

Valid from Pega Version 7.1.9

Help topics that are opened from express mode display content that is specific to Designer Studio.

If your system is dedicated to applications that are developed in express mode exclusively, and you do not need Designer Studio help topics, you can set the Online Help URL field on the System Settings landing page to: https://pdn.pega.com/sites/default/files/help_p7e/procomhelpmain.htm. Alternatively, you can view the contextual help system for Pega 7 Express in a separate browser tab.

Design-time limitations in express mode

Valid from Pega Version 7.1.9

Some limitations apply when you develop an enterprise application in express mode. At design time, some features are disabled or have limited options when you configure them in Designer Studio and switch to express mode. The use of these features does not restrict the run-time behavior of your application; however, you cannot change the configuration of these features unless you switch from express mode to Designer Studio.

For more information about each limitation and the recommended action to take, see the following information:

Problem with truncating Decision Data Store data set

Valid from Pega Version 7.1.9

The Truncate operation for the Decision Data Store data set may cause timeout exceptions. This problem is caused by the Apache Cassandra database that waits until compaction tasks finish before it can truncate the data set.

Recommendation:

Repeat the Truncate operation until it is successful.

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.

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.

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