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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.

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.

Deploy revisions directly in target environments

Valid from Pega Version 7.3

As a revision manager, you can now directly deploy or migrate completed revisions to multiple Pega 7 Platform environments that were configured as targets by the system architect. The revision management process is faster because you do not need to package a revision as a JAR file, and then manually import that file to the Pega 7 Platform. Additionally, this solution gives business users more control over application rulesets and enables them to act more independently.

For more information, see Direct deployment of revisions.

Batch database processing improvements

Valid from Pega Version 7.3

Batch database processing has been enhanced to ensure that a constraint violation does not occur when you save transactions to a table with a foreign key dependency. Because batch processing changes the order of save operations, it is disabled for transactions with foreign key dependencies. Disabling batch processing ensures that a record with a foreign key dependency on another record will not be written before the record on which it is dependent.

For more information about how batch database processing works and how to enable and disable it, see Batch processing during database write operations.

Improve cluster security by limiting concurrent operator sessions

Valid from Pega Version 7.3

You can increase the security of a Pega® Platform cluster by limiting the number of concurrent sessions allowed for each operator. Because operators typically do not require multiple concurrent sessions for performing their work, limiting the number of sessions reduces the chance that an unknown or untrusted person could access systems in the cluster. Use the new setting Number of concurrent sessions allowed for each operator on the Production tab of the System Data Instance form to configure the number of concurrent sessions for operators. You must restart your system when you change this setting. You can also create a list of operators by using the presence/maxsessions/operators/whitelist Dynamic System Setting, to which the maximum number of concurrent sessions setting will not apply.

For more information, see System form - Completing the Production tab.

Delegation experience in revision management

Valid from Pega Version 7.3

Revision managers can now control rule authoring by assigning a delegation experience to any rule that is part of a revision management change request. Delegation experience types offer different rule authoring capabilities, so the revision manager can select the appropriate delegation experience for the task and the strategy designer’s experience.

File data set

Valid from Pega Version 7.3

You can now create a File data set that reads data from a file that is in CSV or JSON format. You can use this type of data set to test data flows and strategies.

For more information, see Creating a File data set record.

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