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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.

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:

Derby databases are no longer supported

Valid from Pega Version 7.1.8

Previously, an embedded Derby database could be used as a file system. This setup was configured by setting storage/class/<<filesystem>>/type to "embedded" in the prconfig file.

After upgrading, storage types that are specified as "embedded" now default to the local file system.

Configuration required for data operations on external schema when using a Postgres database

Valid from Pega Version 7.1.8

When you use the API for data operations on external schema in the Postgres database, you must update the prconfig.xml file. No other platform requires a prconfig.xml update.

To update the prconfig.xml file:

  1. Stop the server and add the following entry to the prconfig.xml file:
    env name="database/databases/postgres_ext/defaultSchema"
    value="externalschema"
    where postgres_ext is the external database that uses the external schema “externalschema”.
  2. Restart the server.

Support for character data type on local variables in activities deprecated

Valid from Pega Version 8.1

Support for the character data type for local variables in activities is deprecated. Use the string data type instead.

For more information about activities, see Activities.

When rule might not resolve against @baseclass

Valid from Pega Version 8.1

In the rare case in which a step page context is null, or the pxObjClass associated with the step page is empty, the system no longer attempts to resolve the when rule against @baseclass. As a result, you might see more rule not found errors. Check the step page context and class and ensure that they are not null or empty. In all other cases, if a when rule is not found in any other part of the class hierarchy, the system attempts to resolve it against @baseclass.

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