Published Release Notes

Upgrading to Hazelcast 4.x requires downtime during upgrades to Pega Infinity 8.6

Upgrade impact statement

On-premises upgrades of Pega Infinity release 8.4.2 and later to version 8.5.1 or later on Tomcat and PostgreSQL are completed with near-zero downtime. However, upgrading to Hazelcast 4.x requires that you shut down and restart your application server.

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

Hazelcast 3.x is enabled by default. For near-zero downtime upgrades, you do not need to perform any action.

For instructions about upgrading to Hazelcast 4.x, see one of the following topics:

• For near-zero downtime upgrades from Pega Infinity release 8.4.2 or later on Tomcat and PostgreSQL, see "Optional: upgrading to Pega Platform version 8.6: Upgrading to Hazelcast 4.x" in Near-zero downtime Upgrade Guide for Pega Platform version 8.4.2 and later for Tomcat and PostgreSQL.
• For all other upgrades, see "Optional: upgrading to Hazelcast 4.x" in the appropriate upgrade guide.

Kafka data set enhancements

The Kafka data set is a high-throughput and low-latency platform for handling real-time data feeds that you can use as input for Pega Platform event strategies.

For better integration of Pega Platform with externally hosted Kafka, the following enhancements are implemented:

• Support for Kafka message keys and headers - extended values data format (JSON Data Transform, Apache Avro)
• Custom value processing
• Configuring topic names by using Application Properties
• Data-Admin-Kafka enhancements - supporting a wide range of connection properties

For more information, see Improve your Kafka data set with new enhancements.

Case outcome predictions in case types

Pega Platform™ introduces the use of machine learning and AI in Case Designer. You can now use predictions in case types, both in App Studio and Dev Studio. By using predictions, your application can predict various outcomes, such as the possibility of reaching a positive or negative case resolution, so that you can prioritize work, route cases according to risk, or optimize the case flow in other ways. You can use predictions when you create conditions in the condition builder, for example, when you define a business logic for routing assignments. 

For more information, see:

• Prioritize and route case work by predicting case outcomes 
• Predicting case outcome
• Creating predictions for case management

Virtual questions deprecated in 8.6

Following the improvements in Pega Intelligent Virtual Assistant (IVA), the creation of virtual questions is now deprecated and planned for removal. To avoid additional effort during updates to future releases, do not use deprecated features. For optimal application performance and efficient development of conversation processes, you now collect information from users by using the Ask a question smart shape.

For more information, see Adding a case type conversation process for a conversational channel and Asking a question in a case.

External data flow rules are removed

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.

Improved indexing of StringList and StringGroup property types

Search and Reporting Service in Pega Platform™ 8.5 may improperly index StringList and StringGroup property types. As a result, the data model does not include the affected properties.

Upgrade impact

After upgrading to Pega Platform version 8.6, the system requires that the classes with the StringList or StringGroup type are reindexed. 

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

On the Search Landing Page, manually reindex all the classes that include properties with the StringList or StringGroup types to ensure that all your data is present in the data model. Alternatively, if finding specific instances of classes is difficult, you can reindex all classes in your application.

For more information, see Indexing class data.

Naming pattern changed for file data sets

File data sets are used to import from and export data to a file repository. In case of data export, prior to version 8.6.3, the first file exported had the same file name that was provided by the user in the data set, and any subsequent file exported to the repository had a unique identifier appended to it. Starting in Pega Platform version 8.6.3, each file has a unique identifier, automatically generated based on the data flow node, thread ID, and timestamp.

Upgrade impact

If your process to consume output files expects files with a specific name, it may not be able to process the resulting files correctly.

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

If you have configured the process before updating to Pega Platform version 8.6.3, but the exported files are no longer recognized by downstream processing logic after the upgrade, ensure that the downstream tool is configured to recognize the files by a pattern rather than the full name. For example, when referring to files exported to the repository, use the * character to indicate a pattern instead of using the full file name. For example, use Export*.csv to refer to the files.

Facebook and YouTube data sets are deprecated

Pega Platform™ no longer supports the data set types in the Social category:

• Facebook data sets
• YouTube data sets

These features are deprecated and will be removed in future Pega Platform versions. Do not create any data sets using the Facebook or YouTube types.