SR-D74247 · Issue 542916
Resolved errors when using Build Model from the Preview Console
Resolved in Pega Version 8.2.6
Using the Web Chatbot interface and trying to perform Build Model action from Preview Console failed with multiple errors, either "This action is not allowed as it is outside the current transaction" or "class <blank> doesn't exist". This was traced to issues with the transaction during model update, and has been resolved by conditionally disabling the show page step of pzGetModelProcessStatus. This step creates a difference in the context of the current transaction and is disabled when called from Update API.
SR-D78940 · Issue 542926
Dataflow monitoring enhanced
Resolved in Pega Version 8.2.6
Enhanced monitoring and healthchecks have been added for dataflow and alerts.
SR-D79909 · Issue 542244
DDS added for automated dataflow run cleanup
Resolved in Pega Version 8.2.6
During a recent upgrade it was seen that there were in excess of 20k dataflow runs, some 2 years old, which slowed down the migration significantly. In order to resolve this, an automated process has been added. This clean-up procedure deletes all the single case, batch, and real time runs older than 30 days which are in the final state - Completed, Completed with Failures, or Failed, and batch and real time runs which are in the Stopped state. The DDS Pega-DecisionEngine.dataflow/run/maxDaysToKeepRuns.should be used configure the retention period. Note that the retention period is calculated since the last processed message and not the creation time of the run.
SR-D82917 · Issue 545518
Revision Management updated for Marketing
Resolved in Pega Version 8.2.6
When Offers created outside of the CR context were deleted from Revision Managment LP using the Delete Rules option, the Offer was deleted but the Decision Data was not updated. This also happened when the offer was not included while submitting the revision. This has been resolved by providing the needed extension for deleting the offer rules in marketing.
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.