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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-160825 · Issue 629368

Search landing page performance improved

Resolved in Pega Version 8.4.5

Performance improvements have been made for the Pega Platform search landing page by implementing timeouts for all requests to ElasticSearch when executing PegaIndexAdminImpl.getIndicesInfo() and changing all requests for single index to requests for all indexes. In addition, SearchUtils.areDummyDocumentsPresent() has been modified to get all 'dummy documents' in case there are duplicate dummy documents in the ElasticSearch indexes.

INC-162649 · Issue 639396

DSS added for handling missing attachments

Resolved in Pega Version 8.4.5

When an S3 repository was configured as storage, some cases were not coming up in search and exception errors were seen in logs for a deleted attachment after every system restart/re-indexing of the search. Investigation showed these case objects were in the broken queue for pyFTSIncrementalIndexer due to a null pointer error encountered when indexing the attachment, and that the attachments were available in the repository but could not be read from the attachment repository during indexing. To resolve this, a new DSS setting has been added which allows selecting one of two behaviors: - Pega-SearchEngine indexing/distributed/fail_on_missing_attachment_file = true : broken item is generated, but with a meaningful error message. This is the default behavior - Pega-SearchEngine indexing/distributed/fail_on_missing_attachment_file = false: case is indexed, but without the problematic attachment. Error message is printed out to the logs.

INC-163173 · Issue 650172

Datatype import updated to handle null value

Resolved in Pega Version 8.4.5

After upgrade, attempting to import CSV files in Data type using the import option provided was not working. This was traced to the AccessPolicy Filter value being set to null in the filterLogic, and has been resolved by modifying the 'if' condition in the NativeSQLSecurityPolicyHelper file to handle an empty value in the logic string of an access control policy condition for a datatype class.

INC-169055 · Issue 646673

Performance improvements for database queries and archiving

Resolved in Pega Version 8.4.5

In order to improve the performance of database queries, repetitive unnecessary database calls have been removed, archival queries have been simplified, and diagnostic metrics were added. Optional batch requestors have been added to all archival services with their own DSS settings to allow processing more cases in parallel. It is recommended to create 2 additional indexes to help with the archival process. The indexes will be on:pegadata.pr_metadata (pyisparent, pyobjclass, pyarchivestatus) INCLUDE (pyinskey); pegadata.pr_metadata (pyisparent, pyarchivestatus) INCLUDE (pyinskey);

INC-169856 · Issue 649458

Personalized table sort order limited

Resolved in Pega Version 8.4.5

After implementing a personalized table, the query started adding more 'order by' sorts, causing system impact. This was traced to the pzPopulateSortOrder activity Implementation having different constants assumed for the same purpose (999 in one place and 99999 in another), and has been resolved by updating the logic in step 1 and step 2 to disregard sort orders higher than 999.

INC-174756 · Issue 650672

Queue processor correctly moves items to Broken Items

Resolved in Pega Version 8.4.5

When an exception occurred while Queue Processor processed an item, he queue item was not moved to Broken Items. The error " inconsistent datatypes: expected - got CLOB DatabaseException caused by prior exception" was generated. This has been resolved by modifying the NativeSQL builder and NativeSQLBatchExecutor to allow the batch of queries to be retried. Additional changes were also added for Oracle databases to identify the correct column types.

INC-175622 · Issue 652278

Screen reader announces report names

Resolved in Pega Version 8.4.5

An update has been made to pyReportBrowserItem to ensure names of the reports on the report browser are read correctly.

INC-119669 · Issue 562586

Special character handling added to filters for table sourced with parameterized RD

Resolved in Pega Version 8.2.7

Filters were not working on a table when sourced with a report definition which accepted a parameter value containing special characters (Eg: S&P). This has been resolved by using StringUtils.reversibleCrossScriptingFilter in the pzGetGridColUniqueValues activity to allow filters to contain special characters.

SR-D56590 · Issue 525300

Notification option for change of search nodes removed from Cloud

Resolved in Pega Version 8.2.7

The search landing page for Pega Cloud was displaying a checkbox to enable sending automatic emails if the search node was modified. As the description of the notification 'Notify on change of search host nodes' suggests, this option is to send notifications only when a search host node has been modified(addition/removal) from the search landing page. This is not applicable for the automatic addition/removal of search nodes that happens on starting the node. As the addition/removal of nodes is not allowed from the search landing page on Cloud environments, this option is not applicable for Cloud and the checkbox has now been removed for that environment.

SR-D81496 · Issue 547169

Data Social tag class FTS index query improvements

Resolved in Pega Version 8.2.7

A query intended to select from the link tag table to see if any cases were linked to the tag in question and then index the tag change was causing performance issues. Investigation showed that checking tag associations during FTS indexing fetched all matching rows from the table even though one was sufficient. To resolve this, the query will be created with max result count = 1, fetching up to 2 rows from the table.

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