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.).
INC-159836 · Issue 638267
Upgraded Apache UIMA Ruta libraries to resolve memory leak
Resolved in Pega Version 8.7
A memory leak issue that resulted in a reboot being needed every few days was traced to the class org.apache.uima.ruta.rule.RuleMatch. This has been resolved by upgrading the Apache UIMA Ruta libraries to v2.8.1.
INC-164243 · Issue 658270
DateTime validation works correctly after importing invalid data
Resolved in Pega Version 8.7
After creating DecisionData (Dev studio) and adding a DateTime property to the form, importing records with invalid DateTime values failed with a validation error on the screen and the message "Error while converting format for data type DateTime property name Test_date_format with value scvf" was logged. Attempting to proceed by correcting the DateTime property and uploading worked, but any subsequent imports in the same session silently allowed invalid inputs to be passed without any validation errors and then showed blank date fields. This has been corrected.
INC-165704 · Issue 639506
VBD data flow timeout increased and made configurable
Resolved in Pega Version 8.7
Intermittent VBD timeouts were seen when writing records to MSK even though no errors were reported on the MSK side. Analysis showed that while batch data flows retry when a timeout occurs, real time data flows do not retry and the configuration to wait up to 10 seconds for an acknowledgement may not be sufficient depending on the system conditions. This has been resolved by increasing the default timeout to 20 seconds and adding a configurable timeout "vbd/streamPublishTimeoutMillis" to allow a customized setting.
INC-166561 · Issue 645648
ADM Models correctly updated
Resolved in Pega Version 8.7
The ADM models were not being updated when responses were processed either via the CaptureResponse API or when the time elapsed that should result in an update reflecting a non-response. This was traced to incomplete handling for a response coming for some other model which was converted to EMPTY, and has been resolved by modifying the logic so that the default responses and other responses are processed properly.
INC-166845 · Issue 640299
Hazelcast remote execution not called from synchronized context
Resolved in Pega Version 8.7
After navigating to the Admin Studio portal to view the nodes, the portal was temporarily freezing. Investigation of the thread dump revealed this was caused by a DDS pulse sending a remote execution call to all nodes to update logger settings even though the site was not using DDS. This has been resolved by updating the system to avoid calling Hazelcast remote execution from a synchronized context.
INC-167606 · Issue 665870
Updated ConfirmHarness handling for case type creation
Resolved in Pega Version 8.7
If a new case type was created with the initialization stage and there were no assignments in the case type, the /cases API did not return a NextPageID in response. This has been resolved by setting the pyConfirmHarness parameter before calling addworkobject.
INC-168271 · Issue 640347
ADM performance improvements and duplicate inputs corrected for delayed learning records
Resolved in Pega Version 8.7
Additional work has been done to improve the performance for Adaptive Models used in multi-level decisioning, and an issue with duplicate pxCommonInputs has been resolved.
INC-169125 · Issue 642402
Nodes resume correctly after DDS restart
Resolved in Pega Version 8.7
A corner case issue in VBD's code for handling a DDS session was preventing the nodes from recovering correctly after a system shutdown. As part of the process for an event which fires if all DDS nodes are taken down or as part of a switch from embedded to external Cassandra, VBD's cache is invalidated and then re-initialized once new VBD API calls are received or on the VBD service pulse. In this case, the invalidation of the cache did not complete due to logic in the VBD code that can lead to executing a Cassandra query that will not work in the case of all DDS nodes being down. This has been resolved by modifying the handling of a session change event to eliminate inadvertent Cassandra queries so the invalidation can complete correctly and continue the re-initialization process.
INC-169544 · Issue 649541
Enhancement for MaxEnt modeling data
Resolved in Pega Version 8.7
An enhancement has been added to create output for the model coefficients, the term frequency, and the inverse term frequency for use in maximum entropy modeling. For MRM processes, every Maximum Entropy (Maxent) based topic model will contain two additional stats resources. These resources can be used to validate and replicate running of topic model outside of Pega. The resources are: 1) Term Frequency file – A CSV file with all words used for training and their cumulative frequency across training set. File name format – TRAINING_DATA_TERM_FREQUENCY_< RandomNumber >.csv olumns – Word, Count 2) Coefficient file – A CSV file with all features (words, taxonomy matches and category matches) and model learnt weights for each topic across training set. File name format – MAXENT_COEFFICIENT_VALUE.csv Columns – Feature, < TopicName1 >, < TopicName2 > ,…, < TopicNameK >