INC-212729 · Issue 695025
ClusterAndDBCleaner updated to with with Oracle query limits
Resolved in Pega Version 8.6.4
The pzClusterAndDBCleaner job scheduler was not able to cleanup data in pr_op_data session table due to the delete query formed to clean up this table throwing "ora-01795 maximum number of expressions in a list is 1000 oracle 19c" exception. This has been resolved by splitting requestor IDs into batches of 1000.
INC-212900 · Issue 711001
ADLS/File listener support added
Resolved in Pega Version 8.6.4
Azure Data Lake Storage type support has been added for file listener usecases.
INC-213308 · Issue 712075
Fallback added for missing fileName in MultipartHTTPResponse
Resolved in Pega Version 8.6.4
Given a multipart/form-data response with multiple attachments, when there was no explicit fileName header provided for a body part, the engine skipped processing the part and no data was present on pyRequestAttachmentPage. This has been resolved by adding a fallback in HTTPClientUtils#handleMultipartHTTPResponse() so that if no fileName is present, the 'name' parameter of the Content-Disposition header field will be used.
INC-213502 · Issue 711797
Updated context handling for DxAPI Perform Assignment lock
Resolved in Pega Version 8.6.4
The DxAPI Perform Assignment was generating the error "ValidationMessage:Unable to unlock GROUP-DISPUTES-WORK". This has been resolved by adding an update to ensure proper context is set for getting an additional lock handle.
INC-213808 · Issue 710298
Stability enhancement to improve platform reliability and resiliency
Resolved in Pega Version 8.6.4
During a NBA campaign run, the data flow partition became stuck in the in-progress status and the campaign run did not complete. NoClassDefFoundException errors were logged, indicating a connectivity issue with the database after which the node was not able to recover successfully. This has been resolved by adding an enhancement to better handle situations where a database outage is detected.
INC-179727 · Issue 704545
Modified batch requestor handling to ensure cleanup
Resolved in Pega Version 8.6.4
A large buildup of batch requestors was seen, and restarting the node did not clear it. Investigation showed that in the case of one class reading a DSS value, a Pega requestor was being created when it was unable to retrieve any Pega context, and this requestor was not cleaned up afterwards. To resolve this, an update has been made to the way the requestor and Pega context is being created along with ensuring it will be cleaned up properly after use.
INC-180246 · Issue 664947
Support for apostrophe added to keyword tokenization
Resolved in Pega Version 8.6.4
A keyword containing an apostrophe was not detected properly in Text extraction model. This has been resolved by updating the annotator used in the tokenization.
INC-192826 · Issue 685797
PMML updated for nested 'if'
Resolved in Pega Version 8.6.4
Running a model on the openscoring API and the Pega PMML model gave different results. This has been resolved by updating the handling for nested 'if' in PMML.
INC-194382 · Issue 697615
ADM Model management page updates
Resolved in Pega Version 8.6.4
When accessing the ADM model management landing page in an environment with a large number of nodes, an "UnresponsiveNodeException" error was thrown from the pylaststrategyresults activity by various nodes on different days. Investigation showed the ADM factory table was truncated, leading to inconsistent ADM data in the Last Responses Section. This has been resolved, and the ADM model management page has been made more resilient to node failures.
INC-196561 · Issue 688846
Natural Language Processing (NLP) topic categorization working consistently for German
Resolved in Pega Version 8.6.4
A few German words were not recognized by the Natural Language Processing (NLP) topic categorization if they were given in capital letters. This was traced to upper case keywords being lowercased during model creation time, but not during prediction time. To resolve this, all words will be lower-cased before the model analyzes the text.