Skip to main content

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.

SR-D85095 · Issue 546339

Updated COUNT logic for strategies with ssavm set to true

Resolved in Pega Version 8.2.7

An error was seen when attempting to save a strategy after setting ssavm to true, indicating an issue in the “COUNT” method in Group By shape. Since the source field is not used and does not need to be evaluated here, the system has been updated to ignore the source field if the operation is COUNT.

SR-D87709 · Issue 552398

Default context check added for saving adaptive model with locked rulesets

Resolved in Pega Version 8.2.7

When updating an adaptive model rule in Prediction Studio, the error message "No unlocked Rulesets/Versions found that are valid for this record. Unlock at least one Ruleset/Version that can contain records of this type." appeared when clicking Save. This occurred when a branch was used in the default context of the Prediction Studio settings. Although there was a workaround to use Dev Studio to Save As the adaptive model rule to the required branch, this has been resolved by adding a check for default context and then saving the model there if it is mentioned.

SR-D89643 · Issue 548291

Old Tumbling Time data in event strategies given TTL for cleanup

Resolved in Pega Version 8.2.7

Old Tumbling Time data keys in event strategies were not being cleaned up, causing Cassandra timeouts after the dataflow run had been running for several months. The longer the dataflow was running using standard compaction, the more the data was potentially spread out across SSTables and the slower it became. This has been resolved by adding a 'time to live' value for tumbling time windows, and event strategies has been switched to use leveled compaction by default.

SR-D90367 · Issue 556686

Cleanup enhanced for long pyEditElement names

Resolved in Pega Version 8.2.7

A pyEditElement error relating to decision data was seen multiple times in a stack trace. Research showed that while the utility worked as expected for decision data rules with names of less than 30 characters, the pyEditElement section was truncated the name for the decision data. This meant that decision data with the name SampleIssueandSampleGroupTwosalkdjkightntbmkblffvfvfv would be saved as SampleIssueandSampleGroupT for the pyEditElement section. Because of this, the utility failed the match and did not clean up the pyEditElement section. To resolve this, the cleanup utility has been updated to handle pyEditElement sections of decision data with longer names. Additional logging has also been added to improve debugging.

SR-D90579 · Issue 550769

Real Time data flow exception during shutdown corrected

Resolved in Pega Version 8.2.7

A Real Time DataFlow run was failing with a java.util.concurrent.RejectedExecutionException. This occurred when the node was shutting down while picking up a partition, and was due to the life cycle events not being able to update the partition status. To resolve this, a check has been added to prevent the exception form occurring by evaluating whether the Executor is shutdown while distributing messages.

SR-D96836 · Issue 555748

Refinements made to MarkerNode memory use

Resolved in Pega Version 8.2.7

Significant memory usage can be observed when data join in strategies are missing the join conditions. E.g., when the primary source in the strategy can have up to 300 or even more propositions, the join without the join condition would perform a cartesian product with possibly up to 400 or even more records returned. This may cause performance degradation. To guard against this, an update has been made that seeks to prevent repetitive markers being accumulated under a MarkerNode while trying not to rely on any implementation of equality and hashCode for individual marker implementations.

INC-147654 · Issue 642189

Updates to displaying embedded images in cases

Resolved in Pega Version 8.7

Sending an email with an embedded image to the email ID associated with the email listener successfully created the interaction case, but the embedded image was not displayed when the case was opened from the work-basket. A rule-not found exception was seen in the tracer for pyGetImageDisplay, the rule responsible for displaying the images in the ET pane. Investigation showed that when URLObfuscation was turned on, the decryption of the URL was not successful because "&" had been encoded to '& amp;'. This has been resolved by calling the activity pyGetImageForDisplay using URLMapping instead. An additional issue was seen with displaying images in the email interaction pane where the additional empty new lines moved the image outside the intended place. This was traced to a customization for the reply area which used the pyHighlightedMessage property and converted newlines to br tags even in HTML mode. To resolve this, pyHighlightedMessage has ben modified to convert newlines to br tags only if the mode is plain text.

INC-154254 · Issue 674945

Correct Email Bot training text highlighted

Resolved in Pega Version 8.7

When a piece of text was selected and tagged against an entity while training the Email Bot, the entity selection was misplaced and partially covered the actual text selected. The incorrect selection was then carried forward to the training data spreadsheet. To resolve this, rule changes have been made that will update HTML entities to HTML encoded forms.

INC-166844 · Issue 651407

Email bot updated to handle negative and positive feedback on the same text

Resolved in Pega Version 8.7

When positive and negative training was done on the same piece of text, text extraction by Email Bot failed. For example, when using the sentence. “John Smith plays cricket”, the bot detects “John” as person name. If user wants to train the bot to detect “John Smith” as the entity, the user needs to first remove “John” and build the model, and then select “John Smith” and build the model again. In this case, the email bot never again detects “John Smith” as person name due to the negative feedback given for “John”. This was traced to the entities having same the startIndex/endIndex, and has been resolved by removing entities of the same modelName which have the pyIsRemoved property as true so that multiple entity models are detected on the same word.

INC-170135 · Issue 652525

Rich HTML handling added for outbound email

Resolved in Pega Version 8.7

The HTML content was visible in the received email when replying from the email pane in the existing email interaction. This has been resolved by adding logic to handle rich HTML for outbound email.

We'd prefer it if you saw us at our best.

Pega.com is not optimized for Internet Explorer. For the optimal experience, please use:

Close Deprecation Notice
Contact us