Published Release Notes

Split schema upgrade instructions missing properties

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.

Updated Word merge support with Microsoft Silverlight plug-in

Starting in this release, Pega 7 features that integrate with the Word merge capability are now cross-browser. ActiveX controls (which are only compatible with Internet Explorer) have been replaced with Microsoft Silverlight. This plug-in must be downloaded separately from Microsoft because it is not shipped with Pega 7.

Common features that are affected by this change include the Specification form and Case Type landing page.

Prior to using these features, see the release note Word merge support with Microsoft Silverlight plug-in for more information about setting up their client systems.

Derby databases are no longer supported

Previously, an embedded Derby database could be used as a file system. This setup was configured by setting storage/class/<<filesystem>>/type to "embedded" in the prconfig file.

After upgrading, storage types that are specified as "embedded" now default to the local file system.

Custom database (DB) triggers are dropped during upgrade

The latest version of Pega 7 improves performance by no longer using database triggers to assist with System Pulse and Data-Rule-Summary processing, which is now done within the Pega 7 engine. As a result, DB triggers are no longer installed on either the pr_sys_updatescache or pr4_rule_vw tables.

When upgrading to the latest version of Pega 7, if you had previously implemented a custom database (DB) trigger on these tables, or a custom DB trigger that refers to these tables, it is removed during the upgrade process. No custom triggers are removed unless they reference these tables.

If you have custom DB triggers that reference the pr_sys_updatescache or pr4_rule_vw tables and perform other processing, those triggers must be reimplemented. When doing so, you must be careful to not modify the pr_sys_updatescache or pr4_rule_vw tables.

For more information, see Startup check removes custom DB triggers.

Deprecated rule types

The following rule types have been deprecated as of the Pega 7.1.8 release:

• Form
• Hierarchy
• Service COM
• Service BPEL
• Connect BPEL
• Parse Transform
• Parse Transform Collection
• Parse Infer

For more information, including suggested alternate rule types, see the help topic Deprecated features.

Configuration required for data operations on external schema when using a Postgres database

When you use the API for data operations on external schema in the Postgres database, you must update the prconfig.xml file. No other platform requires a prconfig.xml update.

To update the prconfig.xml file:

1. Stop the server and add the following entry to the prconfig.xml file:
   env name="database/databases/postgres_ext/defaultSchema"
   value="externalschema"
   where postgres_ext is the external database that uses the external schema “externalschema”.
2. Restart the server.

End of support for Netscape Plugin API in Google Chrome 45

Beginning with Chrome 45, which is expected to be available in September 2015, Google is ending support for browser plug-ins that rely on the Netscape Plugin API (NPAPI) architecture. These plug-ins include Microsoft Silverlight, Adobe Flash Player, and Java.

The Pega 7 Platform includes several optional features that use these plug-ins. For a detailed overview of these features, see Client-side technologies.

Addition of Servlet Management

Pega Platform™ now has Servlet Management in Pega Cloud® Services, which provides a simple and secure way to make changes to Pega Platform servlet definitions.

Servlet Management provides Pega Cloud Service clients with solutions to manage servlet configurations with self-service options. This reduces the cycle time for delivering configuration changes in Pega Cloud Service installations while also improving upgrade reliability. 

For more information, see Servlet management.

Upgrade impact

Clients with no application servlet customizations will not experience an impact. If you upgrade from Pega Platform version 8.5 or earlier and, prior to the upgrade, the Pega Cloud team provided your application servlet customizations, then following the upgrade, you must manually add, remove, or modify your servlet customizations in your upgraded application using this servlet management landing page in Pega Platform.

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

To manually move your pre-upgrade servlet customizations as appropriate or add new ones to your upgraded application using the new servlet management landing page, follow the steps in Adding a servlet.

Upgraded selected third-party JAR files to support Pega Platform functionalities

Pega Platform™ 8.6 now provides upgraded versions of the JAR files that support various functionalities within the Platform, such as generating documents or PPTX files.

Upgrade impact

If you have custom implementations and use any classes from the upgraded JAR files directly in your code or through JAR APIs, after your upgrade to Pega Platform 8.6, your application might experience unexpected run-time behavior if the upgraded JAR version lacks any elements from the previous version. For example, custom implementations can typically include activities, functions, or non-autogenerated sections. Unexpected run-time behavior might also occur when you use a third-party library that has dependencies on the upgraded JAR files. If you use only default Pega Platform functionalities without any customizations, the JAR files continue to work correctly without any additional actions.

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

If you have any JAR customizations, ensure that you test the upgraded JAR files for compatibility and upgrade impact. The following table lists the upgraded JAR files that might impact your application:

For more information, refer to the documentation of  your JAR provider.

Text predictions simplify the configuration of text analytics for conversational channels

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.