Published Release Notes

Pega Client for Windows

Pega Client for Windows is a stand-alone application that serves as a container for Pega 7 Platform applications. The target for this product is Windows 10 laptops and tablet devices. It communicates directly with the Pega 7 Platform server to support online and offline-enabled applications. Pega Client for Windows works on 32-bit (x86) and 64-bit (x64) Windows devices.

For more information, see Features and functions of the Pega Client for Windows.

Automatic creation of large data pages from Report Definitions

Offline-enabled mobile apps now use Report Definitions to automate filtering logic for controls that are based on large data pages. You no longer have to use custom JavaScript functions (custom populators) to create large data pages.

For more information, see How to use large data pages to store large reference data in offline mobile apps.

Style charts in the application skin

You can now style charts in your application skin by selecting Charts in the Controls section and setting a theme. When you style charts by using a theme, charts that are generated for report definition reports and the autogenerated chart control are styled consistently, and you do not need to style charts individually. In addition, you can preview chart themes in the Skin form to see how different charts look without launching an application.

For more information, see Styling charts in the application skin.

Automated Unit Testing (AUT) content removed from the help

Information about Automated Unit Testing (AUT) has been removed from the Pega 7 Platform help, beginning with version 7.2.2. The AUT information is still available in earlier versions of the Pega 7 Platform help and on the PDN in the topic category Testing Applications.

PegaUnit testing is now supported on data pages, activities, data transforms, strategies, decision tables, and decision trees, which you can use to quickly and easily create test cases for your Pega 7 Platform applications instead of using AUT.

For more information, see:

• Pega 7.2.2 behavior when switching between PegaUnit testing and Automated Unit Testing features
• Automated Unit Testing

Rule creation and simulations of changes in a change request in the Decision Manager portal

Two major enhancements to revision management give Decision Manager portal users more control over change requests. Revision managers and strategy designers can now create rule instances as part of a regular change request. They also can run data flows to do simulations of changes that are introduced by the change request.

For more information, see Rule creation and simulations of changes in a change request in the Decision Manager portal.

Language detection option in Text Analyzer

On the Text Analyzer form, you can identify the language of incoming records based on their language metadata tag by selecting the Language detected by publisher option. This option applies only to Text Analyzer rules that process Twitter records. By combining this option with the advanced language filtering criteria of Twitter data sets, you can filter out unnecessary data and analyze only the Twitter records that are relevant to your business objective.

For more information, see Configuring advanced filter conditions for Twitter data and Configuring language settings.

Facebook metadata types available for analysis

The number of Facebook metadata types available for analysis in your application through Facebook data sets has been extended. After you provide a valid page token that corresponds to your Facebook page, you can analyze the following metadata types that relate to that page: public posts, tagged posts, promoted posts, direct messages, and comments on posts. By analyzing these metadata types in your application, you can enhance your understanding of your customers' needs and respond to issues faster.

For more information, see Creating a Facebook data set record.

Options for filtering data in Twitter data sets

Twitter data sets have more options for filtering tweets. On the Advanced options tab of the Edit Data Set form, you can configure your Twitter data set to not analyze tweets if they contain specific keywords or if the tweets are made by specific authors. You can also select the languages to analyze based on the language metadata tag of the incoming tweets (tweets in other languages are ignored). By configuring the filtering criteria, you can ignore data that is not relevant to your text analysis and retrieve only the records that you need.

For more information, see Configuring advanced filter conditions for Twitter data.

Load data in repeating dynamic layouts on scroll

When using a repeated dynamic layout, you can configure the pagination options to load more data as the user scrolls down the screen. This pagination works only in harnesses that are configured to use client-side templates.

For more information, see Pagination in repeating dynamic layouts.

Push real-time notifications to your clients

You can now set up a real-time notification system based on the publish/subscribe (pub/sub) messaging pattern where a node in the cluster can push notifications to your browser clients. Nodes publish notifications to a channel that can broadcast to all the subscribed browser clients.

You can create a notification channel from the Notification channels landing page and subscribe to the channel by selecting the On Load action, which is available under action sets.

For more information, see Real-time applications and push notifications in the Pega 7 Platform.