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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.

Required Oracle optimization parameter

Valid from Pega Version 7.1.3

To optimize performance, set the Oracle parameter optimizer_index_cost_adj to a value between 20 and 25. If this value is not set, the system can run exceedingly slowly, potentially blocking users from login.

Split schema upgrade instructions missing properties

Valid from Pega Version 7.1.3

If you upgraded from 5.x, 6.x, or 7.x using the instructions in previous versions of the upgrade guide, you may have neglected to set the properties below in your migrateSystem.properties file when you migrated your upgraded schema to the source system:

 

pega.rules.objects.generate=true

pega.rules.objects.apply=true

 

If these properties were not set during an upgrade that splits the schema, your environment does not have the indexes, triggers, and primary keys on the rules tables.

 

To check for this issue, see if the pr4_base and pr4_rule rules tables in your existing rules schema are missing primary keys. If they are, use the SQL scripts in the ResourceKit\MigrationRecoveryScripts directory of the release to cleanup duplicate rules that were created due to this issue. Follow the steps below to run the scripts.

To run the scripts on Microsoft SQL, Oracle, or PostgreSLQ

  1. Take down any app servers using the affected schema.
  2. Backup your database.
  3. Replace all instances of @RULES_SCHEMA in <database>_cleanDups.sql with the name of the schema that contains the pr4_base table.
  4. Run the <database>_cleanDups.sql script on the database with vendor tools (sqlPlus, SQL Server Management Studio, etc).
  5. Replace all instances of @RULES_SCHEMA in <database>_fix_vw_table.sql with the name of the schema that contains the pr4_base table.
  6. Run the <database>_fix_vw_table.sql script on the database with vendor tools (sqlPlus, SQL Server Management Studio, etc).
  7. Generate and apply the ddl using the command line generateDDL command. Check the installation guide for your database or the upgrade guide for details about how to use the generateDDL command line script.
  8. Rebuild the indexes for the tables in your rules schema using vendor tools. This is necessary so that your system runs at an optimum speed.
  9. Optionally upgrade to the latest release, at this point your database is ready to be upgraded or used depending on your needs.

      

To run the scripts on DB2 for LUW or z/OS

  1. Take down any app servers using the affected schema.
  2. Backup your database.
  3. Run the <database>_cleanDups.sql script on the database with vendor tools (UDB CLP, Data Studio, etc) to create the CLEANSE_RULES_DUPS stored procedure.
  4. Run the query Call CLEANSE_RULES_DUPS(‘<rulesSchema>’); where <rulesSchema> is the name of schema that contains the pr4_base table.
  5. After the previous step is complete drop the CLEANSE_RULES_DUPS procedure.
  6. Replace all instances of @RULES_SCHEMA in <database>_fix_vw_table.sql with the name of the schema that contains the pr4_base table.
  7. Run the <database>_fix_vw_table.sql script on the database with vendor tools (UDB CLP, Data Studio, etc).
  8. Generate and apply the ddl using the command line generateDDL command. Check the installation guide for your database or the upgrade guide for details about how to use the generateDDL command line script.
  9. Rebuild the indexes for the tables in your rules schema using vendor tools. This is necessary so that your system runs at an optimum speed.
  10. Optionally upgrade to the latest release. At this point your database is ready to be upgraded or used depending on your needs.

Synchronized database and application server settings

Valid from Pega Version 7.1.3

Configure your database and application server to use the same time zone and character encoding to avoid conflicts.

Case Management

Valid from Pega Version 7.1.3

This release had a focus on extending key capabilities to improve the ease of configuration based on early adopter feedback.  Improvements were made in run-time performance, especially in high volume situations with complex case configurations.  A series of cosmetic changes and fixes are included.

  • The Wait shape now supports dynamic references.
  • Issues were addressed with the CreatePDF and the CascadingApproval Smartshapes.
  • Attachments have been improved.
  • Issues with the Create Case Type functionality were addressed.
  • The Pega Pulse functionality has been improved, including its performance.
  • When auditing a work item, History is now the default tab.

Decision Strategy Manager

Valid from Pega Version 7.1.3

Fixes were made that improve the configuration and execution of Batch Decisions. In particular,  the capability to use Structured Data has been enhanced. Some notable improvements have also been made to the UI of Visual Business Director.

  • The structured data input configuration will now work even though there is no data.
  • VBD has been enhanced to work with Version 7.1.
  • The structured data input configuration will now work with nested structures.
  • Association rules from Version 6.3 will now work with 7.1 structured data.

System Management

Valid from Pega Version 7.1.3

The PRPC installer has been enhanced to handle additional error conditions related to partial installs and duplicate keys; additionally, the hotfix rollback feature has been improved, and the Rulebase compare tool now supports HTTP(S) environments.

  • Rollback feature has been enhanced.
  • RuleBase Compare will work for secure (HTTPS) environments as well as  non-secure (HTTP) environments.
  • Install will gracefully handle the presence of a duplicate key during import.
  • When install fails, system will set tables back to original state.
  • Remote MBean methods will now work on multi-servant load-balancing systems.
  • Enhancements were made to harnesses in Split Schema systems.

Support for predictive models in PMML version 4.4

Valid from Pega Version 8.5

Pega Platform™ now supports the import of predictive models in Predictive Model Markup Language (PMML) version 4.4. With this feature, you can import PMML models that use the anomaly detection algorithm.

For a list of all supported PMML models, see Supported models for import

 

Support for advanced validation of embedded and referenced data

Valid from Pega Version 8.5

To help you define validation conditions for a broader range of use case scenarios, Pega Platform™ now supports stage entry validation for embedded fields in the form of a validation matrix. You can now define validation conditions for both field groups and field group lists, and easily navigate between them. You can also select any fields and when conditions while building a condition for both field-level and stage-level validation.

For more information, see Validating field values for stage entry.

Complete email and notification approval in App Studio

Valid from Pega Version 8.5

App Studio now supports complete email approval configuration directly in the Case Designer. Email approval settings now include composing a new message or selecting a template, saving templates to a library for future reuse, and adding attachments to an email. Additionally, you can now send the approval as a push notification to mobile users. With full configuration of email approval in App Studio, you save time and create unique and personalized email messages and push notifications in a no-code, intuitive way. 

For more information, see Obtain approvals from email and push notifications from App Studio (8.5), Requesting approval by email and push notification.

Reports with visualizations of performance and automation levels for the email bot

Valid from Pega Version 8.5

In the Email Manager portal, you can now use built-in reports to visualize Pega Email Bot™ performance and the automation levels that are related to received emails, triaged cases, and created business cases. You can plug the reports to display the report data in other portals, for example the Case Manager portal. Based on the information displayed in the reports, you can adjust the machine learning models to achieve greater automation in the system.

For more information, see Viewing the reports for the Email channel and Built-in reports for the email bot.

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