Published Release Notes

Real-time event processing

Real-time event processing is a mechanism that can be used to analyze a high velocity stream of events entering the system and derive conclusions from them. It is possible to define metrics, measurements, and conditions under which subsequent trigger events are generated.

For details, see Real-time event processing.

Text analytics on the Pega 7 Platform

The Pega 7 Platform offers users the capability to analyze units of text, extract quality information, and translate it into business intelligence. The text analytics functionality aims to determine the positive, negative, and neutral polarities (tone) of subjective sentences. It also provides mechanisms for categorizing units of text and classifying text elements into predefined categories. You can use it to analyze text-based content including news feeds, emails, and postings on social media streams, such as Facebook, Twitter, and YouTube.

For more information, see Introduction to text analytics on the Pega 7 Platform.

Updates to the Data Flow rule

It is now possible to use report definitions as primary and secondary sources in the Data Flow rule. The data flows that are sourced by a report definition can be distributed on multiple nodes. When using a database table data set as the destination of the data flow, you need to select one of the save options for the data set (insert records or insert and update records).

Updates to the Event Strategy rule

When you design event strategies, you can use the Filter shape for basic arithmetic and text expressions. You can also specify start conditions for the tumbling and sliding windows.

Updates to the Predictive Model rule form

The Predictive Model rule form provides the XML schema preview for uploaded PMML models. You can use this preview to view the structure of a model and to correct errors before saving the rule. When the model contains errors, they are displayed in the Errors section at the bottom of the rule.

Updates to the Strategy rule

The Strategy tab of the Strategy rule form contains a new Test runs panel from which you can run simulations and test strategies for single and multiple customers. When you test strategies for multiple customers, you can identify the most popular propositions offered to the customers, check the overall strategy performance, and examine the performance of the individual components.

New types of data sets

There are three new types of data sets:

• Facebook - Required for connecting with the Facebook API
• Twitter - Required for connecting with the Twitter API
• YouTube - Required for connecting with the YouTube Data API

Use these data sets when you create instances of the Free Text Model rule and you want to analyze the text-based content on social media streams such as Facebook, Twitter, or YouTube.

Problem with truncating Decision Data Store data set

The Truncate operation for the Decision Data Store data set may cause timeout exceptions. This problem is caused by the Apache Cassandra database that waits until compaction tasks finish before it can truncate the data set.

Recommendation:

Repeat the Truncate operation until it is successful.

Automatic retries for the SAVE operation on records

Batch and real-time data flow runs now automatically retry the SAVE operation on records when an error occurs because of resource unavailability. This functionality ensures that the records are eventually saved if the target data set is only temporarily unavailable, for example, because of load or network issues.

You can configure the default number of retries for the entire system in a dynamic system setting. To adjust the setting to different resource allocations and operating environments, you can update that number for each data flow run.

For more information, see Changing the number of retries for SAVE operations, Creating a batch run for data flows, and Creating a real-time run for data flows.

Cassandra 3.11.3 support for Pega Platform

Increase your system's reliability and reduce its memory footprint by upgrading the internal Cassandra database to version 3.11.3.

For on-premises Pega Platform™ users, after you upgrade to Pega 8.3, it is recommended that you manually upgrade to Cassandra 3.11.3. You can upgrade to Cassandra 3.11.3 on all operating systems except IBM AIX. If you do not want to upgrade to Cassandra 3.11.3, you can continue to use Cassandra 2.1.20, which is still supported.

For Pega Cloud Services 2.13 and later versions, Cassandra automatically upgrades to version 3.11.3 after your environment is upgraded to Pega Platform 8.3.

For information on how to manually upgrade to Cassandra 3.11.3, see the Pega Platform 8.3 Upgrade Guide for your server and database at Deploy Pega Platform.

Upgrade impact

After an on-premises Pega Platform upgrade, you still have the older version of Cassandra and must manually upgrade.

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

To upgrade Cassandra, you must create a prconfig setting or a dynamic system setting with the new Cassandra version and then do a rolling restart of all the Decision Data Store nodes to upgrade them to the latest version of Cassandra.