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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-195387 · Issue 681673

HandleResponses updated for use with optimized campaign

Resolved in Pega Version 8.7

After updating from Pega 8.4, responses were not processed in the pxHandleResponses Data flow if the "pyCampaignOptimization" flag was set to true. This was traced to a missed use case for an optimized campaign, and has been resolved by modifying the condition in HandleResponses.

SR-A96852 · Issue 264159

Resolved OOM error when adding VDB DNode

Resolved in Pega Version 7.2.2

A memory leak was found relating to JBDC PreparedStatement objects (char arrays allocated to hold database query results) used when VBD loads its data partitions. This has been fixed with the addition of code to close the PreparedStatement objects created when loading Actuals partition data.

SR-A88481 · Issue 256518

VBS starts with DDS configured to use external Cassandra

Resolved in Pega Version 7.2.2

If DDS is configured with Internal Cassandra which is then switched to External, DDS reports to be in state NORMAL and VBD can start. However, when starting from scratch with DDS configured to use External Cassandra, DDS was failing validation and reporting to be in state CLIENT, so VBD was unable to start due to VBD's check that ensures at least one DDS is in the NORMAL state before starting. To address this, the validation code that checks the DDS state when VBD is starting has been removed and the system will instead rely on the DSM service layer to ensure that DDS is functional before VBD can start.

SR-A90821 · Issue 258447

Delayed Learning data flows use dynamic objects

Resolved in Pega Version 7.2.2

Data flows with delayed learning enabled were failing to run when initiated by a campaign. The root cause for this bug was the process where a data flow object was created only once and the same object was shared between multiple data flow runs in the node. The changes for this fix include making the DataFlow object non-static in the DelayedLearning.java class.

INC-197530 · Issue 686027

Value Finder updated for use with external Cassandra nodes

Resolved in Pega Version 8.7

Attempting to use the Value Finder feature resulted in the error "Running Simulation is not possible because the required services are not available. Contact your System Administrator to enable the data flow and decisioning data store services." Analysis traced this to a check which identifies whether there is more than one internal node available for CDH/ DSS node. Since there were only external nodes available in this scenario and no internal nodes, the method returned false and returned the error when the CDH / VF page was launched. To resolve this, the check has been modified to allow for external Cassandra.

INC-174933 · Issue 651829

Special characters escaped for use in "is in List" lookups

Resolved in Pega Version 8.7

After creating a specific criterion on any proposition using a string property, the "Is In List" operator, and a customer list with one value containing a "$", clicking save or check in resulted in the exception error "Problem invoking function: pega_decisionengine_propositionfilterfua.pzPropositionFilterMethodBody--(PublicAPI,ClipboardPage) java.lang.IllegalArgumentException: Illegal group reference at java.util.regex.Matcher.appendReplacement(Matcher.java:857) ". This has been resolved by escaping regular expression control characters in string replacement, which will allow the use of characters such as the $ sign for "is in List" lookups.

INC-176757 · Issue 657785

Interaction History properly saved when running strategy on a different data flow

Resolved in Pega Version 8.7

Customized Interaction History properties that had been added to pyInteractionHistoryConfiguration and pyDefaultWorkingSet and saved into the PR_DATA_IH_FACT table were not being saved properly after upgrading from 7.3 to 8.3. This was a missed use case and has been resolved.

INC-191356 · Issue 679163

External Input setting available on Strategy Batch Performance Test

Resolved in Pega Version 8.7

It was not possible to specify the External Input as part of a strategy when using a Batch Performance test. This has been resolved by updating the pzDisplayTestStrategyContext When condition to "true" the so external input selector is properly displayed.

INC-213217 · Issue 714194

Updated context handling for executing data transforms in dataflows

Resolved in Pega Version 8.6.5

When performing a sort operation in a data transform on a page list and invoking the Data transform through a Data flow, a java.lang.UnsupportedOperationException was generated on the sort step even though the data was correct. Investigation showed that the dataflows were using a different execution context than the context used for regular activity execution. An update has been made to ensure the correct context is being used while executing data transforms in dataflows.

INC-218145 · Issue 715680

DSS introduced to control DSM clipboard page serialization

Resolved in Pega Version 8.6.5

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.

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