SR-116508 · Issue 170253
Large flow handling improved for IE8
Resolved in Pega Version 7.1.7
When opening a large flow in IE8 which includes multiple sub flows, a long-running script warning is displayed. This is caused by too many calls being executed at once on IE8, and has been remedied by turning on the asyncProcessing parameter for IE8.
SR-116818 · Issue 167121
Corrected swim lane routing with shapes
Resolved in Pega Version 7.1.7
While using swim lanes, adding shapes into the flow caused unexpected and random behavior of the process modeler including failure to return control to the user after saving. This error was related to routing handling when swim lanes are present, and has been corrected.
SR-117228 · Issue 168249
Resolved issues with Flow shapes distributed across Swim Lanes
Resolved in Pega Version 7.1.7
Pool size is maintained as both pixels and inches, but auto conversion was failing if the pool dimension was very large. This created an error where saving a flow rule could cause the pool to drastically shrink (for example, 20 inches becoming 20 pixels). In order to maintain the proper dimensions, a check has been added for pool and swimlane to ensure the proper inch/pixel conversions.
INC-141579 · Issue 591852
Enhancement added for node heartbeat recovery process
Resolved in Pega Version 8.3.5
Nodes were not showing up in the admin portal even though they were up and running and could be seen in the pr_sys_statusnodes table. The exception "An exception was encountered while invoking the cluster membership listener callback" was seen. All nodes became visible again after multiple restarts. The root cause was traced back to a temporary database connectivity problem. The database itself was fine according to database monitoring reports, but a network problem, a slow database query, or another issue prevented Pega from establishing a connection for more than a minute. An enhancement has been made to resolve this: if a node becomes unhealthy due to the service registry missing due to a failed heartbeat, the heartbeat will try to recover after 60 seconds and keep trying every 30 seconds until it succeeds.
INC-142674 · Issue 594496
Enhancement added for node heartbeat recovery process
Resolved in Pega Version 8.3.5
Nodes were not showing up in the admin portal even though they were up and running and could be seen in the pr_sys_statusnodes table. The exception "An exception was encountered while invoking the cluster membership listener callback" was seen. All nodes became visible again after multiple restarts. The root cause was traced back to a temporary database connectivity problem. The database itself was fine according to database monitoring reports, but a network problem, a slow database query, or another issue prevented Pega from establishing a connection for more than a minute. An enhancement has been made to resolve this: if a node becomes unhealthy due to the service registry missing due to a failed heartbeat, the heartbeat will try to recover after 60 seconds and keep trying every 30 seconds until it succeeds.
INC-137255 · Issue 584910
Resolved Cassandra query read/write latency
Resolved in Pega Version 8.3.5
Read/write latency was seen when certain Cassandra queries were triggered by the system. This was traced to an unusual case where a flush was not done for an exceptionally long time period, and 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.