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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.

Work attachment indexing fails with IBM SDK Java 6

Valid from Pega Version 7.1.7

Indexing of work attachments fails when you use IBM SDK Java 6 with Pega 7.1.7 through Pega 7.2. The workaround is to switch to IBM SDK Java 7 or Oracle JDK Java 1.6. You can also disable attachment indexing from the Search landing page; however, if you do this, you are not be able to search the content of attachments.

Agents not running after update of EAR-based deployment

Valid from Pega Version 7.1.7

If you update an EAR-file deployment and your update meets both of the following criteria, you must redeploy the prpc_*.ear file for your application server after you complete the update to avoid agent-related errors:

  • Updating from Pega 7.1.7, Pega 7.1.8, or Pega 7.1.9
  • Updating to Pega 7.1.10, 7.1.11, 7.2, or 7.2.1

If you do not redeploy the prpc_*.ear file, you will see the agent-related issues that are described in the support article Agents are not running.

For information about redeploying, see the Pega 7 Platform Update Guide for your target version of the Pega 7 Platform.

Support for rule rebasing

Valid from Pega Version 7.3.1

You can now rebase the rules on your development server with the most recently committed rules from a centralized system of record (SOR). For example, after rules are merged on the SOR, you can rebase your development application to refresh your application with the merged rules. Development teams working in two separate development environments can share their changes, keep their local rulebases synchronized, and reduce the probability of conflicts with other development teams.

For more information, see Rule rebasing.

Support for Apache Cassandra

Valid from Pega Version 7.3.1

The Pega® Platform can now read data from and write data to an Apache Cassandra database. Apache Cassandra is a NoSQL database that you can use when a NoSQL database better meets your scalability and processing requirements.

For a list of supported and unsupported features, see Apache Cassandra support.

Apply logic to data import fields

Valid from Pega Version 7.3.1

When importing data from an external system, you can translate data fields into values that can be read by Pega® Platform. From the Import wizard, you can do the following actions:

  • Apply a decision tree or decision table to the data that is imported for a field.
  • Use imported data for a field to look up a value in another record. For example, you can look up the key of a record that uses an external identifier to populate a foreign key field.
  • Create templates that contain business logic, which eliminates the need to handle data transformations manually during preprocessing.

For more information, see Transforming data during import.

Expose properties in Decision Data Store

Valid from Pega Version 7.3.1

You can now expose properties in Cassandra-based Decision Data Store data sets. With this solution, you can update single properties in extended customer analytic records (XCAR) without having to update the full customer record.

For more information, see XCAR in Decision Data Store.

The Scratch Pad tool is no longer available

Valid from Pega Version 7.3.1

The Scratch Pad tool is no longer available. To add properties to a report from an end user portal, use the Data Explorer. The Data Explorer provides an efficient way to find a property or calculation to include as a column in a report.

For more information, see Data Explorer.

Add new commands in the Facebook channel preview console

Valid from Pega Version 7.3.1

Now you can not only edit existing commands in the preview console for a Facebook channel but also add new command responses and associate them with intents. For example, you can add a new response command in the preview console in a case in which you entered a command and no response was found for the generated intent. This functionality gives you more control over the Facebook channel configuration and makes the preview console easier to use.

For more information, see Simulating a chatbot conversation.

Enhancements to bulk editing options for unversioned propositions

Valid from Pega Version 7.3.1

Bulk editing options for unversioned propositions have been enhanced to allow the use of Excel for editing. You can export and import unversioned propositions into Excel by using the Import wizard. Additionally, data types replace decision tables as the new storage format for unversioned propositions.

For more information, see Data type management and Proposition management enhancements.

Enhancements to PegaUnit test cases and test suites

Valid from Pega Version 7.3.1

Several enhancements have been made to PegaUnit test cases and test suites.

  • You can now use advanced filters on the Automated Testing landing page and when you add test cases to a test suite to search for information.
  • After you run a test case on the Edit Test Case form or a test suite on the Edit Test Suite form, the header now displays the expected and actual run-time values.
  • You must now specify at least one assertion before you can save a test case.
  • You can now compare a property to multiple values so that the assertion passes if any property meets the defined criteria.
  • You can now use the is greater than and is less than comparators for date and date-time properties.

For more information about PegaUnit testing, see PegaUnit testing.

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