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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.

SR-B67903 · Issue 328792

Fix for Data Transform when Clipboard Page not found.

Resolved in Pega Version 7.4

Logic has been added to correct the scope references of the generated offline-Datatransform-JS when using AppendAndMapTo.

SR-C6156 · Issue 351338

Changed RDE 'when' process to avoid syntax errors

Resolved in Pega Version 7.4

The syntax of the Rule-Declare-Expression was incorrect, enclosing the expression in apostrophe('). There was no change in the functionality, but it was not possible to use 'save as' on the rule and an error was generated. In addition, the function calls syntax was missing the @ symbol before the function. These errors were traced to conditions previously fetched from the HTML form data: instead of parsing the html and retrieving the condition, the system will now check if a pyWhen value is available. If it is present, the system will directly use that to create the UI.

SR-C6156 · Issue 350820

Changed RDE 'when' process to avoid syntax errors

Resolved in Pega Version 7.4

The syntax of the Rule-Declare-Expression was incorrect, enclosing the expression in apostrophe('). There was no change in the functionality, but it was not possible to use 'save as' on the rule and an error was generated. In addition, the function calls syntax was missing the @ symbol before the function. These errors were traced to conditions previously fetched from the HTML form data: instead of parsing the html and retrieving the condition, the system will now check if a pyWhen value is available. If it is present, the system will directly use that to create the UI.

SR-D26785 · Issue 495892

Corrected error when persisting temporary work object

Resolved in Pega Version 8.2.4

When persisting a temporary work object using the Persist case shape, the internal assignment handle was not updated to include the work object's ID. Subsequent attempts to access the internal assignment (such as the "Edit" button on the Review Harness) resulted in errors. Investigation showed that when a temporary case was persisted, pyInternalAssignmentHandle was not getting recalculated after pzInsKey was updated. To resolve this, the configuration on the edit button has been modified to use .pxFlow(pzInternalCaseFlow).pxAssignmentKey which is what pyInternalAssignmentHandle declare expression was also returning.

SR-B95830 · Issue 344260

Better handling for case updating when switching applications

Resolved in Pega Version 7.4

When using two applications, the application 1 case lifecycle view was shown at login. After switching to application 2, the case life cycle was not updated until the refresh icon was clicked. This was an issue with the pyCurrentCase value not being updated while switching apps, and an additional condition has been added to the pzSetCurrentCase Data transform to better handle application switching.

INC-180184 · Issue 665091

Assistance and diagnostics added for issue with opening imported 'when'

Resolved in Pega Version 8.7

After upgrade, attempting to open rules that were developed on lower environments and then imported resulted in unknown errors. A workaround has been added to skip and log any corrupted property that might be interfering with the rule opening: enable Skip-Corrupt-Property to put this in place. To improve diagnostics, the new logger NBA-WME-DEBUG has been added. If the error continues after using Skip-Corrupt-Property, Skip-Corrupt-Property should be disabled and NBA-WME-DEBUG should be enabled and kept active until the issue occurs again.

INC-165992 · Issue 657691

Table Filter save uses correct harness

Resolved in Pega Version 8.7

After creating a new view for table and then relaunching the portal or switching between tabs, the created views were not visible. Investigation showed that the views were saved under the incorrect pycaseworker harness on initial load, causing them to not be visible when returning from the switch and using the correct pyCWPortalContent harness. This has been resolved with the addition of the new parameter innerHarnessName to get the harness name when creating a personalization instance.

INC-173760 · Issue 658069

Table Filter save uses correct harness

Resolved in Pega Version 8.7

After creating a new view for table and then relaunching the portal or switching between tabs, the created views were not visible. Investigation showed that the views were saved under the incorrect pycaseworker harness on initial load, causing them to not be visible when returning from the switch and using the correct pyCWPortalContent harness. This has been resolved with the addition of the new parameter innerHarnessName to get the harness name when creating a personalization instance.

SR-C1507 · Issue 344564

Existing Kafka topic name used for connection

Resolved in Pega Version 7.4

When running a Kafka dataflow, Pega was using the dataset name instead of the topic name for the topic connection. This has been fixed, along with forcing a capital letter for the first character of the dataset name in order to ensure proper matching.

SR-C8023 · Issue 350229

Updated dataflow used after pause/continue

Resolved in Pega Version 7.4

When using an event dataflow that has a Kafka dataset as the source, running the flow, pausing it, and importing updated rules was resulting in the resumed flow still using the old rules. This was a known limitation in the data flow metrics management where when a run was resumed, the previous metrics were "merged" with new metrics. In cases where the structure of a data flow changed between pause/resume, merge failed silently and new metrics were not saved to the database. The metric management has now been updated to merge metrics correctly: in case of a data flow structure update (e.g. shapes added/removed), after the data flow is run, stage metrics will be cleared up as it is not possible to match them with the new structure, and all other metrics will be properly resumed from the "paused" position (e.g. number of processed records, throughput etc.).

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