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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.

Use Page-Change-Class method to change a Page class

Valid from Pega Version 8.3

With the release of Pega Platform™ 8.3, using the Property-Set method to change the Page class shows a guardrail warning. Use the Page-Change-Class method to change the Page class instead.

For more information about the Page-Change-Class method, see Changing the class of a page and Page-Change-Class method.

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.

 

Changes to URL format for Pega Web Mashup

Valid from Pega Version 8.3

The format of Pega Web Mashup URLs now supports multiple mashups on a single web page. The new URL format prevents a mashup from sharing cookies with another mashup.

If you want to include multiple mashups on a single web page and one of the mashups was created before 8.3, you must regenerate the mashup to reflect the new URL format.

For more information, see <link to help topic>.

Change tracking tab removed from declare expressions

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.

Redirectguests mashup configuration has been removed

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.

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:

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.

External data flow rules are removed

Valid from Pega Version 8.6

In previous versions of Pega Platform™, you could configure data flows to run in an external Hadoop environment. The external data flows functionality was deprecated and hidden from view in Pega Platform 8.5. The functionality has been now removed and is no longer available in Pega Platform 8.6.

For more information, see External data flow rules are deprecated.

Custom database (DB) triggers are dropped during upgrade

Valid from Pega Version 7.1.8

The latest version of Pega 7 improves performance by no longer using database triggers to assist with System Pulse and Data-Rule-Summary processing, which is now done within the Pega 7 engine. As a result, DB triggers are no longer installed on either the pr_sys_updatescache or pr4_rule_vw tables.

When upgrading to the latest version of Pega 7, if you had previously implemented a custom database (DB) trigger on these tables, or a custom DB trigger that refers to these tables, it is removed during the upgrade process. No custom triggers are removed unless they reference these tables.

If you have custom DB triggers that reference the pr_sys_updatescache or pr4_rule_vw tables and perform other processing, those triggers must be reimplemented. When doing so, you must be careful to not modify the pr_sys_updatescache or pr4_rule_vw tables.

For more information, see Startup check removes custom DB triggers.

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