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Published Release Notes

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Browse resolved issues for Platform releases.

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

End of support for Microsoft Internet Explorer 9 in Pega 7.2.1

Valid from Pega Version 7.2.1

In accordance with Microsoft’s announcement to discontinue support for Internet Explorer 9, Pega 7.2.1 will not support Internet Explorer 9. You should not upgrade to Pega 7.2.1 if you are still using Internet Explorer 9. Otherwise, upgrade to Microsoft Internet Explorer 10 or later, or use Google Chrome, Apple Safari, or Mozilla Firefox, which support certain HTML5 and CSS3 standards not supported in Internet Explorer 9.

For more information about browser support, see the Platform Support Guide or contact Pegasystems Global Customer Support.

 

 

 

Discontinued support for multithreaded requestors

Valid from Pega Version 7.2.1

Multithreaded requestors are no longer supported in the Pega 7 Platform. Multithreading was previously specified by the prconfig setting initialization/allowMultiplePRThreads. If this setting is set to true when you upgrade to Pega 7.2.1, errors occur during the quiesce process.

Child case queries can be slow after upgrade

Valid from Pega Version 7.2.1

After upgrading, performance might be slow when you run queries on child cases for work tables that existed prior to the upgrade. This issue is often indicated by PEGA0005 (query time exceeded limit) alerts that can be correlated to these queries in the logs. To resolve the issue, add a database index to each of your work tables by using a multicolumn index on the pxCoverInsKey, pxObjClass, and pyStatusWork columns.

For more information, see Performance improvements for child case queries.

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.

Gadget configuration by using IAC gateway console is no longer supported

Valid from Pega Version 7.2.1

The Internet Application Composer (IAC) gateway was deprecated in Pega Platform™ 7.2.1 and is no longer supported. The IAC was used to embed a Pega Platform application, such as a gadget, on the pages of a web application that was located on your intranet, extranet, or internet site.

Upgrade impact

After an upgrade to Pega Platform 8.5, the configuration of gadgets through the IAC gateway console is no longer supported.

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

To make subsequent changes to your current web mashup, use Pega Web Mashup. 

For more information, see Tutorial: Creating a mashup with Pega Web Mashup.

Addition of Servlet Management

Valid from Pega Version 8.6

Pega Platform™ now has Servlet Management in Pega Cloud® Services, which provides a simple and secure way to make changes to Pega Platform servlet definitions.

Servlet Management provides Pega Cloud Service clients with solutions to manage servlet configurations with self-service options. This reduces the cycle time for delivering configuration changes in Pega Cloud Service installations while also improving upgrade reliability

For more information, see Servlet management.

Upgrade impact

Clients with no application servlet customizations will not experience an impact. If you upgrade from Pega Platform version 8.5 or earlier and, prior to the upgrade, the Pega Cloud team provided your application servlet customizations, then following the upgrade, you must manually add, remove, or modify your servlet customizations in your upgraded application using this servlet management landing page in Pega Platform.

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

To manually move your pre-upgrade servlet customizations as appropriate or add new ones to your upgraded application using the new servlet management landing page, follow the steps in Adding a servlet.

Upgraded selected third-party JAR files to support Pega Platform functionalities

Valid from Pega Version 8.6

Pega Platform™ 8.6 now provides upgraded versions of the JAR files that support various functionalities within the Platform, such as generating documents or PPTX files.

Upgrade impact

If you have custom implementations and use any classes from the upgraded JAR files directly in your code or through JAR APIs, after your upgrade to Pega Platform 8.6, your application might experience unexpected run-time behavior if the upgraded JAR version lacks any elements from the previous version. For example, custom implementations can typically include activities, functions, or non-autogenerated sections. Unexpected run-time behavior might also occur when you use a third-party library that has dependencies on the upgraded JAR files. If you use only default Pega Platform functionalities without any customizations, the JAR files continue to work correctly without any additional actions.

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

If you have any JAR customizations, ensure that you test the upgraded JAR files for compatibility and upgrade impact. The following table lists the upgraded JAR files that might impact your application:

JAR file nameUpgraded version
apache-mime4j-core0.8.3
apache-mime4j-dom0.8.3
commons-codec1.15
commons-collectionons44.4
commons:commons-math33.6.1
commons-compress1.20
commons-lang33.9
fontbox2.0.19
httpclient4.5.12
httpcore4.4.13
httpmime4.5.12
istack-commons-runtime3.0.8
jackson-annotations2.10.3
jackson-core2.10.3
jackson-databind2.10.3
jaxb-runtime2.3.2
java-libpst0.9.3
jcommaner1.78
junrar4.0.0
metadata-extractor2.13
openjson1.0.11
parso2.0.11
pdfbox2.0.19
poi4.1.2
poi-ooxml4.1.2
poi-ooxml-schemas4.1.2
poi-scratchpad4.1.2
slf4j-api1.7.28
xmlbeans3.1.0
xmpcore6.1.10

For more information, refer to the documentation of  your JAR provider.

Text predictions simplify the configuration of text analytics for conversational channels

Valid from Pega Version 8.6

Enable text analytics for your conversational channels, such as email and chatbot, by configuring text predictions that manage the text models for your channels. This new type of prediction in Prediction Studio consolidates the AI for analyzing the messages in your conversational channels in one place and replaces the text analyzer rule in Dev Studio.

Through text predictions, you can efficiently configure the outcomes that you want to predict by analyzing the text in your channels:

  • Topics (ticket booking, subscription cancellation, support request)
  • Sentiments (positive, neutral, negative)
  • Entities (people, organizations, airport codes)
  • Languages

You can train and build the models that predict these outcomes through an intuitive process, and then monitor the outcomes through user-friendly charts.

For more information, see Predict customer needs and behaviors by using text predictions in your conversational channels.

Upgrade impact

Channels that you configured with text analyzers in the previous version of your system continue to work in the same manner after the upgrade to the current version. When you edit and save the configuration of an existing channel, the text analyzer rule is automatically upgraded to a text prediction. The associated text prediction is now an object where you can manage and monitor the text analytics for your channel. When you create a new channel in the upgraded system, the system automatically creates a text prediction for that channel.

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

  1. Enable the asynchronous model building and reporting in text predictions through job schedulers that use the System Runtime Context (SRC) by adding your application to the SRC.
    For more information, see Automating the runtime context management of background processes.
  2. Enable model building in text predictions by configuring background processing nodes.
    For more information, see Assigning decision management node types to Pega Platform nodes.

Deprecation of EAR deployments in Pega Platform 8.6

Valid from Pega Version 8.6

Starting with Pega Platform 8.6, EAR deployments of Pega Platform are deprecated. In the upcoming 8.7 release, EAR deployments will not be supported. The following rules that require EAR deployments will also be deprecated and no longer supported in Pega Platform 8.7:

  • Connect EJB
  • Connect JCA
  • JCA Resource Adapter
  • JMS MDB Listener
  • Service EJB

With this deprecation, you can use the latest tools and keep your application up to date. 

Upgrade impact

In Pega Platform 8.6, you can still create rules that require EAR deployments and update existing rules. However, after an upgrade to Pega Platform 8.7, rules that require EAR deployments are no longer supported.

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

To prepare your application for this change well in advance of the Pega Platform 8.7 release, see the following table for a list of alternative rules and for guidance on modernizing your application.

Deprecated rule typeAlternative rule typeRecommended configuration
Connect EJBConnect RESTSubstitute legacy EJB resources with a REST API, and use REST connectors to interact with them.
Connect JCAConnect RESTSubstitute legacy JCA resources with a REST API, and use REST connectors to interact with them.
JCA Resource AdapterJCA resource adapters are data records that are used within the scope of a Connect JCA rule. If you replaced Connect JCA rules in your application with Connect REST rules, JCA resource adapters are no longer relevant.No further configuration is necessary.
JMS MDB ListenerJMS ListenerReplace JMS MDB Listener configurations with standard JMS Listener configurations.
Service EJBService RESTRedefine your EJB services as a set of RESTful service APIs, and invoke them over HTTP/HTTPS.

For information on the supported platforms that are affected by this deprecation, see Pega Platform 8.6 Support Guide.

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