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Resolved Issues

View the resolved issues for a specific Platform release.

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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.

SR-D51353 · Issue 516913

Unit testing validation relaxed for external input strategy

Resolved in Pega Version 8.2.5

When trying to test a strategy, the testing transform had to exist in the same ruleset/version as the strategy or it would not resolve. Investigation showed that because the artifacts were in a different ruleset and version build on top of the application that the testing strategy belongs to, validation failed because it was using the platform based ruleset validation. This was a missed use case, and has been resolved by relaxing the validation for external input strategy so it does not take into account the ruleset and version of it. This same change has been applied for referenced data transforms.

SR-D52723 · Issue 516091

Data join conditions representation updated to avoid overwrite

Resolved in Pega Version 8.2.5

After upgrade, a Data join component on the Strategies was not working as expected, especially the ones using the DateTime function. If the data join conditions were swapped, i.e the DateTime function was not the last criteria, the strategy outputs were correct.Investigation showed that the implementation used a map to represent pairs of left and right expressions which caused conditions rows with the same leftExpr to end up overwriting one another. This has been corrected by fixing the representation of conditions of a Data Join to a list of tuples which eliminates the possibility of one condition overwriting a previous one.

SR-D53223 · Issue 516917

Predictor handling updated for Versioning Adaptive Model

Resolved in Pega Version 8.2.5

When attempting to update an adaptive model in a branch after it had been versioned, errors were observed on Predictor Type data that had not changed from the previous version. This was traced to an issue in the Adaptive Model rule UI in both Prediction and Dev Studio where if a non-default predictor type is selected, it would show in the UI but not be saved to the database. No error was shown. This silently led to the unexpected and incorrect data being stored with the result that once data had accrued, the rule could not be saved/saved-as due to validation believing the predictor type of a predictor with data was changing. To resolve this, rules have been updated so that the system will no longer override the predictor type of a predictor being edited when it is solely the predictor type that is changing.

SR-D53225 · Issue 516317

Rule creation logic updated to include creation branch

Resolved in Pega Version 8.2.5

When trying to create a new adaptive model rule in Prediction Studio, the “Create” button was not activating. The adaptive model rule was being saved in a branch ruleset, and investigation indicated that the deactivated button could be traced to the lack of an open ruleset version available even though the intention was to create it on a branch. This has been resolved by modifying the rule creation logic to incorporate the branch for creation.

SR-D54602 · Issue 517308

Prconfigs added to support Cassandra Speculative Based Execution

Resolved in Pega Version 8.2.5

In order to achieve high availability for Cassandra, prconfigs have been added to support speculative execution. The available prconfigs will enable it, and set maximum number of executions and delay before the next execution is launched. The prconfigs are: dnode/cassandra_speculative_execution_policy dnode/cassandra_speculative_execution_policy/max_executions dnode/cassandra_speculative_execution_policy/delay

SR-D56841 · Issue 518315

Marketing Offers enahnced to support Always/Never/Timeframe

Resolved in Pega Version 8.2.5

The Action (offer rule) availability did not align with the availability in Proposition Management. To resolve this, the pxManageProposition platform API has been enhanced to support 1) Always 2) Never 3) Within a defined time period.

INC-172785 · Issue 662333

Adaptive model retry mechanism enabled

Resolved in Pega Version 8.6.2

Adaptive models were missing from the Model Management page as well as in the Prediction studio while similar models for the same proposition, only differing by the Channel name, were visible. This was traced to data not being synchronized between the database and Cassandra. The pegadata.pr_data_adm_factory database table did not contain the record of the missing channel, but Cassandra did. Since the current Cassandra adm_scoringmodel contained model information, the system still believed the model was present. In order to ensure Cassandra and the database table are in sync, an update has been made to enable the retry mechanism "SyncFactoryKeysTask" to create the ADM model in factory table by periodically looking for scoring models without factories or an entry in adm_meta.

INC-173596 · Issue 660220

Google OAuth and Spring versions updated

Resolved in Pega Version 8.6.2

The Google-oauth-client jar has been upgraded to version 1.31.1, and SpringFramework libraries have been updated to version 5.3.9 .

INC-174781 · Issue 655122

Kerberos authentication added for external Cassandra

Resolved in Pega Version 8.6.2

Support has been added for Kerberos authentication with Cassandra.

INC-175207 · Issue 664360

Added handling for DSM Services stuck in leaving status after database outage

Resolved in Pega Version 8.6.2

During a database outage, the heartbeat would fail and DSM services would eventually try to enter safe mode and stop. As the first step they would try to change the state to LEAVING, but because the database was down saving the LEAVING state failed and the exception was not handled correctly. This resulted in the rest of the stop operation logic not being executed and the service being stuck in LEAVING. To resolve this, an update has been made to ensure the service goes to LEAVING_FAILED if anything fails during the stop operation including when setting state to LEAVING_FAILED. The state LEAVING_FAILED will get flushed to the database eventually when it comes back up. This will allow the aggregation service to start from the LEAVING_FAILED state and recover by itself after a database outage.

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