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This documentation is for non-current versions of Pega Platform. For current release notes, go here.

Text predictions simplify the configuration of text analytics for conversational channels

Valid from Pega Version 8.6

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.

External data flow rules are removed

Valid from Pega Version 8.6

In previous versions of Pega Platform™, you could configure data flows to run in an external Hadoop environment. The external data flows functionality was deprecated and hidden from view in Pega Platform 8.5. The functionality has been now removed and is no longer available in Pega Platform 8.6.

For more information, see External data flow rules are deprecated.

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.

Data schema error on z/OS split schema upgrades from versions before Pega 7.1.8

Valid from Pega Version 4.1

When upgrading to a split schema on Pega 7.x with IBM DB2 for z/OS, you see an error during the data schema upgrade when the system tries to drop the PRPC_Updatescache procedure. Because triggers on rules tables use PRPC_Updatescache, you must use the ZOSDisableTriggerScripts to disable these triggers before you update the data schema.

  1. Follow the instructions in the Pega 7 Platform Upgrade Guide to upgrade the rules schema, but stop immediately before you upgrade the data schema with the upgrade.bat or upgrade.sh script. The Pega 7 Platform Upgrade Guide is on the Support > Deployment Guides page.
  2. Copy the contents of the <distribution>\ResourceKit\ZOSDisableTriggerScripts directory into the <distribution>\scripts\ directory.
  3. Run fixZosTriggers.bat or fixZosTriggers.sh with the following arguments:
    --action preupgrade
    --dataschema <data schema name>
    --oldrulesschema <old rules schema name. If you are upgrading from a single-schema system, this is the data schema name.>
    --newrulesschema <new rules schema name>
    --automaticddl <Optional. Set to true to automatically apply the disable trigger SQL scripts.>

    For example:
    fixZosTriggers --action preupgrade --dataschema pegadata --oldrulesschema pegarules --newrulesschema newrules --automaticddl false

  4. If you did not set --automaticddl to true in the previous step, run the <distribution>\schema/disable.sql script to manually disable the trigger SQL scripts.
  5. Run the data schema upgrade as described in the Pega 7 Platform Upgrade Guide.

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