SR-D26976 · Issue 507215
Filter added to ensure correct context for proposition strategy rules
Resolved in Pega Version 8.1.7
Given two applications (ex App1 and App2) hosted on the same domain where App2 was built on App1, trying to create a strategy rule in App1 and do a test run strategy using the propositional data component which internally uses App2 propositions generated the error: Failed to find a 'RULE-DECISION-DECISIONPARAMETERS' with the name 'GROUP_2'. There were 1 rules with this name in the rulebase, but none matched this request." Investigation showed the strategy was using the PropositionNoCacheUtils and PropositionTools java classes to load the propositions during run time. In these classes, the group classes were browsed from the db irrespective of the application context, causing the strategy run to fail as it was not able to access the decision data rules in other applications which shared the same SR class as the current application. To resolve this, a filter has been added to the PropositionNoCacheUtils and PropositionTools java classes to filter out the groups that are not in the current application context.
SR-D31103 · Issue 502980
VBD insert process updated for better retry handling
Resolved in Pega Version 8.1.7
When restarting Data Flow and VBD nodes, the VBD client can encounter some exceptions indicating components in the stack are temporarily unavailable. In most cases the VBD client retries, but there are some cases where it did not and data flow failures occurred. To resolve this, the code has been updated to remove logging of the VBD cluster status during a retry, and the retry duration has been made configurable.
SR-D37163 · Issue 505479
Corrected Decision Data import filter behavior
Resolved in Pega Version 8.1.7
After upgrade, if a Decision data import referred another component to filter out the import, it did not work. This has been corrected.
SR-D38492 · Issue 505491
Batching now enabled when using IH Summary shape in substrategies
Resolved in Pega Version 8.1.7
Batching was not being enabled when using IH Summary shape in substrategies. This was traced to the IH_SUMMARY_CACHE field not automatically being passed to sub-strategies, and has been corrected.
SR-D39956 · Issue 511639
Corrected method IF use with shortcut function
Resolved in Pega Version 8.1.7
After upgrade, method IF was not working as expected when used in an expression like "@if(.totalorders_120days>0,(.remakeorders_120days/.totalorders_120days)<0.3,false)". This was caused by a missed use case for the combination of an exception-generating function in combination with a shortcut function (i.e. ternary, and, or), and has been resolved.
SR-D47713 · Issue 511972
Corrected issue with strategy framework testing
Resolved in Pega Version 8.1.7
Issues were seen in creating a dataflow to test the strategy framework shipped with the Pega Marketing product. It was not possible to use a data transform to test this strategy because it is in the shipped PegaMKTEngine ruleset. Investigation showed the value of appliedToClass was retrieved from "pyRunOnDataFlowClassName" instead of from the running strategy, and this has been resolved.
INC-202111 · Issue 710106
Logging extended for PRPCPropertyInfoProvider
Resolved in Pega Version 8.7.3
In order to assist with diagnosing issues with Kafka and JSON, additional logging has been added for PRPCPropertyInfoProvider.
INC-208976 · Issue 719165
Enhanced SSA metrics made available
Resolved in Pega Version 8.7.3
In order to better diagnose delays related to the time when a Campaign is scheduled to start and the time when the Dataflow actually starts to run, an update has been made which will generate detailed metrics to cover some of the strategy execution key performance intensive areas. Additional lower level internal metrics related to SSA engine execution have also been made available by way of a DSS to collect more runtime insight for diagnosis. To enable the collection of these Level 2 SSA internal metrics, set the dataflow/shape/strategy/detailed_metrics/level2 DSS in the Pega-DecisionEngine rule set to 'true'. A comprehensive set of enhanced metrics will be available in Pega 8.8.
INC-217290 · Issue 721375
Added support for creating predictive models in Production
Resolved in Pega Version 8.7.3
While creating a new predictive model rule in Prediction studio, the case was going into broken process after selecting the template with the error message "Error loading D_ProjectList , Reason : No databases defined in properties file:/databases.properties". This was an unexpected use case for creating models in Production level, and has been resolved by updating the flows to turn off the draft mode in this scenario.
INC-218145 · Issue 715678
DSS introduced to control DSM clipboard page serialization
Resolved in Pega Version 8.7.3
When using a Kafka dataset to consume a message from an external topic that had an attribute name with a special character contained in a page list structure, using a JSON data transform for the mapping in a realtime dataflow resulted in the error "Exception in stage: KafkaDS; LegacyModelAspectInvokableRuleContainer.invoke-Exception encountered a :java.lang.UnsupportedOperationException." To resolve this, a new DSS dataset/CLASS_NAME/DATASET_NAME/JSONDataTransform/deserialization/useDSMPage has been introduced. When the value is set to true, the process will follow the previous behavior of DSM clipboard pages being generated when Kafka records are deserialized using JSON data transform. When the value is set to false, the JSON data transform will generate regular clipboard pages and convert them later to DSM clipboard pages. This would avoid errors when a JSON data transform calls methods from the Clipboard API that are not implemented by DSM pages. This DSS is set per data set instance. CLASS_NAME and DATASET_NAME are placeholders which should be replaced by data set's pyClassName and pyPurpose property values. In addition, a similar DSS, dataset/CLASS_NAME/DATASET_NAME/JSONDataTransform/serialization/useDSMPage, has been introduced for serialization.