INC-202111 · Issue 710106
Logging extended for PRPCPropertyInfoProvider
Resolved in Pega Version 8.7.3
In order to assist with diagnosing issues with Kafka and JSON, additional logging has been added for PRPCPropertyInfoProvider.
INC-208976 · Issue 719165
Enhanced SSA metrics made available
Resolved in Pega Version 8.7.3
In order to better diagnose delays related to the time when a Campaign is scheduled to start and the time when the Dataflow actually starts to run, an update has been made which will generate detailed metrics to cover some of the strategy execution key performance intensive areas. Additional lower level internal metrics related to SSA engine execution have also been made available by way of a DSS to collect more runtime insight for diagnosis. To enable the collection of these Level 2 SSA internal metrics, set the dataflow/shape/strategy/detailed_metrics/level2 DSS in the Pega-DecisionEngine rule set to 'true'. A comprehensive set of enhanced metrics will be available in Pega 8.8.
INC-217290 · Issue 721375
Added support for creating predictive models in Production
Resolved in Pega Version 8.7.3
While creating a new predictive model rule in Prediction studio, the case was going into broken process after selecting the template with the error message "Error loading D_ProjectList , Reason : No databases defined in properties file:/databases.properties". This was an unexpected use case for creating models in Production level, and has been resolved by updating the flows to turn off the draft mode in this scenario.
INC-218145 · Issue 715678
DSS introduced to control DSM clipboard page serialization
Resolved in Pega Version 8.7.3
When using a Kafka dataset to consume a message from an external topic that had an attribute name with a special character contained in a page list structure, using a JSON data transform for the mapping in a realtime dataflow resulted in the error "Exception in stage: KafkaDS; LegacyModelAspectInvokableRuleContainer.invoke-Exception encountered a :java.lang.UnsupportedOperationException." To resolve this, a new DSS dataset/CLASS_NAME/DATASET_NAME/JSONDataTransform/deserialization/useDSMPage has been introduced. When the value is set to true, the process will follow the previous behavior of DSM clipboard pages being generated when Kafka records are deserialized using JSON data transform. When the value is set to false, the JSON data transform will generate regular clipboard pages and convert them later to DSM clipboard pages. This would avoid errors when a JSON data transform calls methods from the Clipboard API that are not implemented by DSM pages. This DSS is set per data set instance. CLASS_NAME and DATASET_NAME are placeholders which should be replaced by data set's pyClassName and pyPurpose property values. In addition, a similar DSS, dataset/CLASS_NAME/DATASET_NAME/JSONDataTransform/serialization/useDSMPage, has been introduced for serialization.
INC-218172 · Issue 716398
Text analytics character limit set to avoid memory issues
Resolved in Pega Version 8.7.3
Utility nodes were unstable related to searching, and email listener threads became stuck during Rule-based Text Annotation (RUTA) and natural language processing (NLP) work on incoming emails. This happened when the system experienced high memory consumption or exceeded memory usage when using text analytics. This has been resolved by setting the default maximum character limit for NLP analysis to 25,000 characters to avoid RUTA memory issues. If text is provided > 25,000 characters, the system will consider only the top 25,000 characters and a flag will appear on NLPOutcome to indicate text has been limited. This character limit is configurable, but if the configuration is set in excess of 25,000 a warning will be shown prior to saving the change.
INC-223376 · Issue 723575
JMX authentication enabled by default for embedded Kafka and Cassandra
Resolved in Pega Version 8.7.3
For on-premises clients, a potential vulnerability for a Remote Code Execution using the JMX interface on Cassandra and Kafka using exposed network ports has been mitigated by enabling JMX authentication by default for embedded Kafka and Cassandra.
INC-229717 · Issue 730667
Cassandra startup calls reordered to avoid deadlock
Resolved in Pega Version 8.7.3
Nodes received a service request but it became stuck. This was traced to a deadlock related to CassandraSessionCache.getSession, and has been resolved by reordering the method calls used to initialize the Cassandra session to delay adding the session change listener and avoid a deadlock scenario.
INC-136969 · Issue 585546
Section and Paragraph rule types added to Revision Manager
Resolved in Pega Version 8.5.1
An enhancement has been made to add support for section and paragraph rule types in revision management. With this change, the sections and paragraph rule types can be added to overlay and can be added to change requests and modified.
INC-138103 · Issue 585639
Enhancement added for node heartbeat recovery process
Resolved in Pega Version 8.5.1
Nodes were not showing up in the admin portal even though they were up and running and could be seen in the pr_sys_statusnodes table. The exception "An exception was encountered while invoking the cluster membership listener callback" was seen. All nodes became visible again after multiple restarts. The root cause was traced back to a temporary database connectivity problem. The database itself was fine according to database monitoring reports, but a network problem, a slow database query, or another issue prevented Pega from establishing a connection for more than a minute. An enhancement has been made to resolve this: if a node becomes unhealthy due to the service registry missing due to a failed heartbeat, the heartbeat will try to recover after 60 seconds and keep trying every 30 seconds until it succeeds.
INC-136128 · Issue 580227
Data Transform added to support Kafka custom serialization/deserialization
Resolved in Pega Version 8.5.1
Previously in a Kafka DataSet it was possible to either serialize or deserialize messages as mapped objects to JSON, or to implement some other mechanism to achieve the expected results. An enhancement has now been added to the Pega platform functionality: DataTransformSerde will be available to be used as custom serialization/deserialization mechanism in Kafka DataSet.