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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.

Search and Reporting does not index large items

Valid from Pega Version 8.5

When using the Search and Reporting (SRS) microservice in Pega Platform™ 8.5, you might encounter problems with indexing large out-of-the-box rules. The issue is not visible in Queue Processors, but you can access logs to verify which items the system does not index.

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.

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.

Extension attributes are not supported in PMML models

Valid from Pega Version 7.3.1

Models in the Predictive Model Markup Language (PMML) format version 4.3 that contain extension attributes with the x- prefix are not valid. These extension attributes are deprecated; you must use extension elements instead. In addition, if the output type of any output field in the model is set to FLOAT, change it to DOUBLE.

For more information, see PMML 4.3 - General Structure in the Data Mining Group documentation.

The Upload responses action is not supported for adaptive models with customized context

Valid from Pega Version 7.3.1

A default instance of the Adaptive Model rule contains five model identifiers (.pyIssue, .pyGroup, .pyName, .pyDirection, .pyChannel) that are used to partition adaptive models. If you add other identifiers in your Adaptive Model rule instance, you cannot upload responses to this instance with the Upload Responses wizard and the following error is displayed: The Flow Action post-processing activity pzUploadCSVFile failed: Cannot parse csv file.You can still train such adaptive models with data flows.

For more information, see Training adaptive models in bulk with data flows, Model context, and Uploading customer responses.

Use fast processing option does not work

Valid from Pega Version 7.3.1

The Use fast processing option on Connect REST and Service REST rule forms does not work unless you obtain the HFix-43000 hotfix from Global Customer Service.

Use the following data model guidelines when using fast processing:

  • The JSON property names and the clipboard property names must match.
  • The JSON tree structure and the clipboard tree structure must be similar.
  • The scalar arrays in JSON must be mapped to the clipboard as page lists.
  • Multi-dimensional arrays must be mapped into page lists of page lists with the same embedded property names.

​In addition, page groups, value groups, and Java objects are not supported by fast processing.

Upgrading Adaptive Decision Manager data mart tables might fail

Valid from Pega Version 7.3.1

Issue: Upgrade from 7.3 to 7.3.1 fails if the data contained in the pxInsName column of the PR_DATA_DM_ADMMART_PRED_FACT table is longer than 128 characters.

Reason: During the Pega Platform™ upgrade from 7.3 to 7.3.1, data in the Adaptive Decision Manager (ADM) data mart tables is migrated from the PR_DATA_DM_ADMMART_PRED_FACT table to the PR_DATA_DM_ADMMART_MDL_FACT table. In Pega 7.3.1, ADM uses only the PR_DATA_DM_ADMMART_MDL_FACT table where the pxInsName property can store values that are 128 characters long. In Pega Platform 7.3, the pxInsName property in the PR_DATA_DM_ADMMART_PRED_FACT table can store values that are 255 characters long. If the pxInsName property contains values that are longer that 128 characters, the upgrade fails.

Resolution: Issue an ALTER TABLE statement to change the pxInsName column size to 255 characters and resume the upgrade. For example:

ALTER TABLE rules.pr_data_dm_admmart_pred ALTER COLUMN pxInsName TYPE varchar(255);

For more information, see Adaptive Decision Manager data model.

Twitter data sets no longer supported

Valid from Pega Version 7.1.9

Twitter is deprecating several APIs, which will disrupt the Twitter data set functionality. Twitter data sets will not be able to fetch any tweets or direct messages. This issue affects all applications that use Twitter data sets to connect to social (mainly Pega Customer Service applications).

This change applies to the current and earlier releases of Pega Platform™ that make use of Twitter data sets and it impacts all environments, including Pixar, VM, and Pega Labs instances.

Twitter connectors will be fully functional at a later date. For now, the best practice is to de-emphasize social media in your data sets.

Tags disappear from Rich Text Editor source mode

Valid from Pega Version 8.5

When you use Rich Text Editor in HTML source mode, some tags disappear from the markup, which causes backward compatibility issues and data loss.

Cause

Pega Platform™ version 8.5.5 introduced the DOM Purifier security plugin. The plugin removes potentially vulnerable tags, including custom tags, from the raw HTML code in the Rich Text Editor source mode.

Workaround

You can disable the DOM Purifier plugin by adding the the window.disableDomPurifier = true markup to the userWorkForm HTML fragment rule.

Alternatively, as of Pega Platform version 8.5.6, you can add a tag to the allow list by including the window.rteCustomAllowedTags = ['myCustomTag'] snippet in the userWorkForm HTML fragment rule. 

In Pega Platform versions 8.5.6 to 8.6, the iframe tag is added to the allow list by default.

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