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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.

Enabling security policies now requires current password

Valid from Pega Version 7.1.3

As part of Pega’s initiative to protect against malicious attacks, the change password dialog has been enhanced.  When Security Policies have been enabled for your system, new users or those with expired passwords will now be prompted for both their existing password as well as their desired new password.

For more details, review the Designer Studio > System > Settings > Security Policies landing page.

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.

Performance improvement to BLOB support in Postgres databases

Valid from Pega Version 7.2.2

New tables that contain BLOB columns now use external storage instead of expanded storage for Postgres databases. This improvement applies to tables that are created during installation, upgrade, or during DDL and schema generation. Using external storage improves database performance.

For more information, see BLOB storage in Postgres databases.

Automatically manage nodes in a System Management Application cluster

Valid from Pega Version 7.2.2

Instead of manually adding and deleting nodes in a cluster by using the System Management Application (SMA), you can now automatically manage nodes. You can enable Auto Node Discovery and configure it to get information about all the nodes in a cluster, add new nodes, and update the node list.

For more information, see Managing nodes automatically in a System Management Application cluster.

Run advanced agents on only one node in a cluster

Valid from Pega Version 7.2.2

You can now configure an advanced agent to run on only one node in a cluster at a specified time. In addition, you can specify the time interval within which an advanced agent runs on only one node in the cluster, which avoids having two advanced agents starting to run on the same node at the same time.

For more information, see Improved control for running advanced agents and Agents rules – Completing the Schedule tab.

Ability to test SELECT statements

Valid from Pega Version 7.2.2

When developing and debugging applications, you can test SELECT statements from the Query Runner landing page. You can run queries against non-BLOB columns in your database and view the results on the landing page or export the results to an Excel spreadsheet or PDF file. This functionality is available for Pega Cloud customers who use a Postgres database or for customers using an Oracle database on-premises or on the cloud.

To use this landing page, you must have the PegaRULES:DatabaseAdministrator role or the pxDBSelectQuery privilege in Data- and Rule- in your access group. You access the landing page by clicking Designer Studio > System > Database > Query runner.

For more information, see Query Runner landing page for testing SELECT statements.

Elasticsearch 2.4.0 upgrade

Valid from Pega Version 7.2.2

The Pega 7 Platform has been updated to use Elasticsearch 2.4.0. You do not have to reindex immediately. You can reindex at your convenience by using the FullTextindexer utility, which provides a smoother transition to the next Elasticsearch library upgrade.

Rolling upgrades are not supported. Instead, after the upgrade has been completed, shut down all the nodes in the cluster, and then restart them beginning with the indexing nodes. For more information, see the Pega 7 Platform Upgrade Guide on the Deployment Guides landing page.

New hashing algorithm for Password property types

Valid from Pega Version 7.2.2

To provide extra protection against brute-force attacks, a new hashing algorithm has been added to the Pega 7 Platform. Bcrypt is used as a default hashing algorithm for Password property types. The bcrypt key setup algorithm takes a long time to process. This means that potential attackers would have to spend a substantial amount of time testing every possible key.

For more information, see Using the bcrypt hashing algorithm for Password property types.

Discovery features for access control policies

Valid from Pega Version 7.2.2

Access control policies now support discovery features that allow end users to view limited, customizable information about class instances that fail Read policies but satisfy Discover policies. Two types of Discovery gadgets are provided, and when discovery features are enabled, a Discovery gadget is included in the Report Viewer and in search results. Developers can customize these gadgets and include them in other parts of an application user interface.

For more information, see Discovery features for access control policies.

Performance enhancements to StringBuilderFactory pooling

Valid from Pega Version 7.2.2

StringBuilderFactory has been enhanced to eliminate most scenarios where errors in calling application logic can accidentally cause StringBuilder data contamination within and across JVM thread boundaries. StringBuilderFactory pooling is now thread-specific, which prevents errors in one thread’s use of StringBuilder from contaminating StringBuilder objects in other threads. Debug messages were also added to help diagnose potential problems.

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