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Resolved Issues

View the resolved issues for a specific Platform release.

Go to download resolved issues by patch release.

Browse release notes for a selected Pega Version.

NOTE: Enter just the Case ID number (SR or INC) in order to find the associated Support Request.

Please note: beginning with the Pega Platform 8.7.4 Patch, the Resolved Issues have moved to the Support Center.

INC-227878 · Issue 727855

UPDATE IMPACT FOR PEGA CALL

Resolved in Pega Version 8.7.3

Log4j-1.2.14.jar and Log4j-1.2.17.jar have been removed to address the security concerns with these versions, and logger jars have been upgraded to 12.7.2 version (from 12.7.1 version) to make Pega Call compatible. This change will impact Pega Call customer environments due to Avaya or Genesys, which are part of Pega Call, having an internal dependency on Log4j1.x version jars. As a result, the SDK logging for Avaya or Genesys will not be available in the 8.7.3 release unless the Log4j-1.x jar files are reimported locally.

INC-203040 · Issue 721056

Null value handling added for CBU

Resolved in Pega Version 8.7.3

After update, changes made to the Operator record were not reflected and the Actions menu in Operator record did not show all available actions after the Operator was saved. This has been resolved by adding handling for null values passed as String for arguments from cbu.xml for the PegaCBU utility.

INC-214451 · Issue 721971

Rest connector passes RequestAttachmentPage to child requestor

Resolved in Pega Version 8.7.3

While invoking the Rest Connect from a data page, the error "InboundMappingException: Exception occurred while mapping incoming response" was generated. Requests with "Content-type:multipart/form-data" require "pyRequestAttachmentPage" or "pyResponseAttachmentPage" to be populated with correct values. When Rest-Connector was executed in parallel, those pages were not copied to the child requestor and the rest call executed from the child requestor did not have correct header and body. To resolve this, MethodConnect.java has been updated to correctly pass pyRequestAttachmentPage to the child requestor.

INC-224268 · Issue 724022

Cleaned up outdated prprivcommon class references

Resolved in Pega Version 8.7.3

After update, an exception was generated related to FirstUseAssembler. This was a missed use case for the WriteEFormToFile activity from previous work which restricted loading classes from prprivcommon.jar, and has been resolved by removing references to the following classes which were made inaccessible by the changes to prprivcommon: com.pega.pegarules.storage.FileStorageManager com.pega.pegarules.storage.fs.resadaptor.RAFile com.pega.pegarules.storage.fs.resadaptor.OutputStreamWrapper

INC-226830 · Issue 727153

Case Archival hierarchy updated for multiple occurrences of a child case

Resolved in Pega Version 8.7.3

Case Archival did not correctly discover hierarchy when child case appeared multiple times in the hierarchy. This was due to the CaseAssociationsProvider class having a check to skip performing the discovery when the case type had already been processed, and has been resolved by updating the handling for this scenario.

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.

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