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Published Release Notes

Find release notes for the selected Pega Version and Capability

Browse resolved issues for Platform releases.

Specify the scope for rolling back rules and data to a restore point

Valid from Pega Version 8.4

Create restore points to save the state of all rules and data in your system at a significant point in time, for example, before you import an application. Roll back to that restore point to return the system to that state. Now, you can filter which rule and data instances are returned to their previous state:

  • System: Roll back every rule and data instance that has a history record.
  • User: Roll back rule and data instances modified by a specific user. If any rule was changed by more than one user, you will see an error message and must use the system rollback.
  • Application: Roll back rule and data instances in a specific application.

For more information, see Using restore points to enable error recovery.

Rules can no longer access Pega internal Java packages

Valid from Pega Version 8.4

You can no longer create rules that access Java packages that reference internal APIs (syntax com.pega.platform.*.internal*). This change does not affect rules that access Pega public API packages.

If you encounter issues when running existing rules that reference internal Pega APIs, contact Pega Support.

Upgrade impact

After an upgrade to 8.4 and later, clients can no longer save new or modified rules that access Pega internal APIs; existing rules that reference internal APIs can still be run but cannot be modified. 

What steps are required to update the application to be compatible with this change?

Following a software upgrade to 8.4 or later, clients can refactor existing rules into guardrail compliant rules. To find rules to refactor, run the validation tool from designer studio (Application > Tools > Validation) to identify what rules fail validation; failed rules that include the message "Test compilation failed : Illegal internal class reference : com.pega.internal.XYZ" can updated to reference appropriate APIs.

Client-server deployment of Hazelcast

Valid from Pega Version 8.4

Pega Platform now supports the client-server model for the Hazelcast service, which provides cluster communication and distributes Pega Platform features across nodes. This optional deployment model introduces independent scalability for both servers and clients in Pega Platform, improving stability for deployments that use a large number of nodes.

The Hazelcast client-server model is intended for select environments running Pega Platform 8.4 across a large number of nodes and should be deployed only when directed by Global Client Support.

Improved indexing performance by gradual retrieval of data

Valid from Pega Version 8.4

Search functionality in Pega Platform™ versions from 8.4.5 to 8.6 now includes the option to improve indexing performance when reading query results from a large table in a database. For example, to load the recommended 50 records at a time, in the Pega-SearchEngine ruleset, create the indexing/distributed/fetchsize dynamic system setting, and set the value to 50.


Creating the fetchsize dynamic system setting ensures that your system does not crash while indexing classes with numerous instances.

For more information, see Creating a dynamic system setting.

Supported JDBC drivers

Valid from Pega Version 7.1.1

Pega 7.1.1 supports Java 6 and Java 7 SDKs only. Ensure that the JDBC driver you are using supports those versions of Java. See your database installation or upgrade documentation for additional information.

DatabaseJava 6Java 7
Oracleojdbc6.jarojdbc7.jar
MSQLsqljdbc4.jarsqljdbc4.jar
DB2 LUWdb2jcc4.jardb2jcc4.jar
DB2 z/OS*db2jcc4.jar or jdb2jcc.jar**db2jcc4.jar
PostgreSQLpostgresql-9.1-903.jdbc4.jar***postgresql-9.1-903.jdbc4.jar

* JDBC drivers are only available from the DB2 for z/OS product. Additionally, you need db2jcc_license_cisuz.jar in the same directory as db2jcc4.jar.

** The db2jcc.jar has been deprecated and may not be supported in future releases.

*** This .jar file is required for PostgreSQL version 9.1.x.

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.

Turn off saved connections in WebLogic

Valid from Pega Version 7.1.1

PRPC caches connections in thread-local storage. When using a WebLogic application server, set database/savedconnections to FALSE to avoid incorrectly saved, container-managed transactions. You can make this update through JNDI settings or by adding an entry to the prconfig.xml, for example:

<env name="database/savedconnections" value="false" />

Remove JVM settings from prior installations

Valid from Pega Version 7.1.1

JVM memory settings ​defined in the setupDatabase.properties file to support a prior installation need to be removed. 

Memory settings are now handled by the installation program. Duplicating these settings may cause installation or upgrade failures. 

IE8 hangs on large imports

Valid from Pega Version 7.1.1

IE8 users may experience a hung process when running the Designer Studio > Application > Distribution > Import wizard. This issue is related to low-capacity networks and large (300+ MB) archive files.

Although the processing symbol prevents you from proceeding to the next step in the wizard, the file is still imported to the server. As a workaround, you can:

  1. Wait approximately eight minutes for the file to import.
  2. Close and restart the wizard.
  3. Click Next to skip the upload step.
  4. Select the name of your file from the list of import files.
  5. Complete the remaining steps in the wizard.

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.

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