INC-143121 · Issue 610732
Timeout for loading predictors made configurable
Resolved in Pega Version 8.3.6
When using an extremely large number of predictors, the Report definition pzADMPredictorsFilter was suffering timeouts due to the time for loading predictors from the database exceeding the time threshold allowed. This has been resolved by marking the rule as editable to allow custom setting of the threshold according to need.
INC-148899 · Issue 615702
Adaptive models update correctly
Resolved in Pega Version 8.3.6
Some models had the recorded responses column updated, but the models (number of Positive, Negative and Processed Responses) were not updated. Investigation showed that deleting the modelRuleConfiguration through the stateManager/client did not delete modelFactories related to the configuration. If a new configuration came in with a different algorithm, the update issue occurred. This has been resolved by reseting the configuration according to its factory in that specific case.
INC-155822 · Issue 618267
Locking added to avoid null pointer error for auto-populate property
Resolved in Pega Version 8.3.6
After configuring the auto populate property "OrgProduct" which referred to a data page, the system experiencing heavy load led to the property not getting properly initialized. This resulted in a WrongModeException and NullPointerException. To resolve this, the system has been updated to lock the requestor when Queue Processors execute their activity. This will prevent race conditions and concurrent modifications if other threads are accessing the same requestor.
INC-157629 · Issue 626633
Duplicate key exception resolved for adaptive model
Resolved in Pega Version 8.3.6
During the model snapshot update, a DuplicateKeyException was generated while trying to insert a record in to the predictor table. This did not affect the model's learning, but did appear ion the model monitoring report. This was traced to a local scenario of having the same outcome values defined on the model with different cases (Accept and accept). All predictors used in an Adaptive model are inserted into the model monitoring tables as a part of the monitoring job: because the monitoring tables are not case sensitive, this lead to a unique constraint exception since there were multiple IH predictors with the same name. To resolve this, validation has been added which will skip adding duplicates from new responses.
INC-160331 · Issue 628710
ML model continue tag error changed to debug logging
Resolved in Pega Version 8.3.6
Log entries were seen indicating "The continue tag is found without a start tag for window Line1 1234567890 in text". This appeared to be coming from the MLCommand java class. Investigation showed this occurred when the ML model believed a portion of the text (token) was a continuation of the entity because it has not found the starting part of the entity. This situation is not currently treated as a valid output, so an update has been made to change the logging level from error to debug for this case.
SR-69015 · Issue 619995
Unescaping characters implemented for expressions
Resolved in Pega Version 8.3.6, Resolved in Pega Version 8.4.4, Resolved in Pega Version 8.5.3, Resolved in Pega Version 8.6
An issue where expression builder statements were evaluated differently at runtime than at testing has been resolved. Pega Platform expressions with String literals(that is, sequences of characters enclosed in quotation marks) now unescape characters in strategy shapes such as Set Property or Filter.
INC-148899 · Issue 615704
Adaptive models update correctly
Resolved in Pega Version 8.5.4
Some models had the recorded responses column updated, but the models (number of Positive, Negative and Processed Responses) were not updated. Investigation showed that deleting the modelRuleConfiguration through the stateManager/client did not delete modelFactories related to the configuration. If a new configuration came in with a different algorithm, the update issue occurred. This has been resolved by reseting the configuration according to its factory in that specific case.
INC-156818 · Issue 628467
Materialization uses time limit boundary for query
Resolved in Pega Version 8.5.4
After turning on Materialization for pyIHSummary and OfferOutcomesForPast45Days datasets, an SQL query was taking an excessive amount of time and causing multiple alerts in the logs. Investigation traced the issue to database partitioning, specifically that running a query where the pyOutcomeTime range spanned multiple partitions was causing the indexes for all partitions in the range to be opened. To resolve this, the query has been updated with a DSS to support a partition size of min(pxOutcomeTime) to limit the time range to querying day by day, or hour by hour, or any other chronology unit specified. If there are no records for the current limit, then it will look at the next partition. This should prevent the query from needing to open more than 1 or 2 partitions.
INC-157357 · Issue 636713
Hazelcast remote execution not called from synchronized context
Resolved in Pega Version 8.5.4
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-157629 · Issue 626635
Duplicate key exception resolved for adaptive model
Resolved in Pega Version 8.5.4
During the model snapshot update, a DuplicateKeyException was generated while trying to insert a record in to the predictor table. This did not affect the model's learning, but did appear ion the model monitoring report. This was traced to a local scenario of having the same outcome values defined on the model with different cases (Accept and accept). All predictors used in an Adaptive model are inserted into the model monitoring tables as a part of the monitoring job: because the monitoring tables are not case sensitive, this lead to a unique constraint exception since there were multiple IH predictors with the same name. To resolve this, validation has been added which will skip adding duplicates from new responses.