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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.

DB2-LUW database logfile size increase

Valid from Pega Version 7.1.5

This issue applies to DB2-LUW database platforms only.
 

To avoid running out of logfile space due to large transaction sets during the rule base load of a Pega 7.1.x install, upgrade, or maintenance level update, systems supported by a DB2-LUW database platform should increase the LOGFILSIZ parameter to at least 4096 pages from the default size of 1000 pages.

After the size has been increased, restart the database to ensure that the new setting is loaded into the database correctly.

Need to run script before updating Multitenant systems

Valid from Pega Version 7.1.5

When updating or upgrading a Multitenant system from Pega 7.1.5 or 7.1.6 to Pega 7.1.7, if that system uses either an Oracle or a PostgreSQL database, you may encounter the error:

“Table must be empty to add column.”

The Multitenant architecture requires an additional column on a number of the PRPC database tables (“pzTenantID”). In Pega 7.1.7, two additional PRPC tables were tenant-qualified: pc_schedule_task and pr_index_schedule_task. The Multitenant column is added to these tables by the update/upgrade process. However, Oracle and PostgreSQL do not allow the addition of a non-null column to an existing table unless the table is empty, so updating or upgrading systems on those databases displays the error detailed above.

To avoid this error, before beginning the update or upgrade, it is necessary to run a script:

  • OracleOracleMTupgrade.sql
  • PostgreSQLPostgresMTupgrade.sql

For updates, these scripts are located in the /scripts/ddl directory.

For upgrades, these scripts are located in the /Resourcekit/AdditionalUpgradeScripts directory.

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.

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