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Resolved Issues

View the resolved issues for a specific Platform release.

Go to download resolved issues by patch release.

Browse release notes for a selected Pega Version.

NOTE: Enter just the Case ID number (SR or INC) in order to find the associated Support Request.

Please note: beginning with the Pega Platform 8.7.4 Patch, the Resolved Issues have moved to the Support Center.

INC-192979 · Issue 679041

Cache support added for Runtime Context

Resolved in Pega Version 8.7

System performance has been improved by adding cache support for System-Runtime-Context management.

INC-192979 · Issue 678269

Updated RequestorInitialize to improve performance

Resolved in Pega Version 8.7

After updating, initial user logins were taking an excessive amount of time. This was traced to the standard rule "RequestorInitialize", and has been resolved by updating the implementation.

INC-193153 · Issue 686293

Restored local blocking queue cache

Resolved in Pega Version 8.7

After update, it was not possible to bring up secondary VBD nodes after restarting. Investigation traced this to earlier work done to resolve a memory leak issue, in which stale entries for local blocking queues were removed from cache. This resulted in modifying the queue listener logic to use "cache.getQueueIfPresent(jobId)" instead of "cache.getQueue(jobId)". Because the listener was not creating the cache if it was not present and the cache which held the local blocking queue didn't have the entry for the current remote execution job ID, the caller of the remote execution on Node2 ended up in blocking state forever, waiting on the local blocking queue. To resolve this, the code has been updated to ensure the blocking queue is created and stored in the local queue cache before publishing the remote job message.

INC-196415 · Issue 686313

Performance improvements for revalidate and save

Resolved in Pega Version 8.7

In order to improve performance when working with very large numbers of class definitions, an update has been made to optimize the revalidate and save process by avoiding looking up all classes on the system instead using ClassDefinition for existence and checking ancestor data to ensure class is a Rule- or Data- descendant.

INC-196447 · Issue 684644

Enhancements added for external Kafka Stream Service

Resolved in Pega Version 8.7

To ensure data privacy when using multi-tenant Stream Service hosted on a single Kafka cluster, access will be authorized based on ACLs when a tenant sends direct requests to Kafka. In addition, all Kafka resources (topics and consumer groups) are now able to contain a prefix naming convention which can be used for tenants. This is handled through using a <env name="services/stream/name/pattern" value="{tenant.name}-{environment}-{stream.name}"/> prconfig setting to set the stream name pattern. For example, if the tenant.name is resolved into "companyname", environment into "prod1", and the stream dataset name is pyFTSIncrementalIndexer, then the Topic name created on the external Kafka will be companyname-prod1-pyFTSIncrementalIndexer.

INC-196842 · Issue 683766

APIs updated for sending large attachments with MSGraph

Resolved in Pega Version 8.7

Sending mail using MSGraph was failing with the exception "Error during http request" when attachments were greater than 3MB. This was traced to changes made by Microsoft in the Graph API implementation which caused it to throw a runtime exception instead of the expected 413 status code and relevant message for the attachment size. To resolve this, an update has been made to ensure that any attachment larger than 3MB is sent via the Microsoft Outlook API.

INC-201338 · Issue 690896

Restored local blocking queue cache

Resolved in Pega Version 8.7

After update, it was not possible to bring up secondary VBD nodes after restarting. Investigation traced this to earlier work done to resolve a memory leak issue, in which stale entries for local blocking queues were removed from cache. This resulted in modifying the queue listener logic to use "cache.getQueueIfPresent(jobId)" instead of "cache.getQueue(jobId)". Because the listener was not creating the cache if it was not present and the cache which held the local blocking queue didn't have the entry for the current remote execution job ID, the caller of the remote execution on Node2 ended up in blocking state forever, waiting on the local blocking queue. To resolve this, the code has been updated to ensure the blocking queue is created and stored in the local queue cache before publishing the remote job message.

INC-202111 · Issue 710105

Logging extended for PRPCPropertyInfoProvider

Resolved in Pega Version 8.6.5

In order to assist with diagnosing issues with Kafka and JSON, additional logging has been added for PRPCPropertyInfoProvider.

INC-208976 · Issue 719166

Enhanced SSA metrics made available

Resolved in Pega Version 8.6.5

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-213217 · Issue 714194

Updated context handling for executing data transforms in dataflows

Resolved in Pega Version 8.6.5

When performing a sort operation in a data transform on a page list and invoking the Data transform through a Data flow, a java.lang.UnsupportedOperationException was generated on the sort step even though the data was correct. Investigation showed that the dataflows were using a different execution context than the context used for regular activity execution. An update has been made to ensure the correct context is being used while executing data transforms in dataflows.

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