SR-D89012 · Issue 550801
DelegatedRules refresh icon made accessible
Resolved in Pega Version 8.4.1
When using Accessibility, the refresh icon in pzDelegatedRules was being read as "Link". This has been corrected by adding text for the refresh icon.
SR-D89428 · Issue 550393
Data Flow StartTime uses locale timezone
Resolved in Pega Version 8.4.1
The start time of the dataflow was displayed in GMT instead of the operator locale timezone. This has been corrected.
SR-D89643 · Issue 548293
Old Tumbling Time data in event strategies given TTL for cleanup
Resolved in Pega Version 8.4.1
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.
INC-181148 · Issue 663164
Documentation updated for altering data type to Timestamp to avoid duplicate data in Decision Hub
Resolved in Pega Version 8.5.6
By default, the pxOutComeTime column has a Date data type in the pr_data_ih_fact table. This may cause duplicate data issues. To resolve this, the 8.5 and 8.6 installation and upgrade guides for Pega Customer Decision Hub have been updated to include a new procedure "Modifying column definitions to use the TIMESTAMP datatype in an Oracle database". Performing this procedure will allow users to avoid the duplicate data issue. All documents are available from the Pega Customer Decision Hub product page.
INC-203994 · Issue 698853
DSS added to handle merges with lower versions of Postgres
Resolved in Pega Version 8.7.1
After update, executing the batch campaign with volume constraint resulted in the second data flow DF_Wait failing with error message "ERROR: number of columns (1844) exceeds limit (1664)". This was due to the database set’s change (in 8.5) to use the database layer’s merge statement. Prior to that, the logic used "deletes and inserts". Depending on the version of Postsgres, the generated SQL statement for a merge statement is different. The “INSERT … ON CONFLICT … UPDATE” syntax is generated for Postgres 9.5+ AND when there is a PK constraint defined for the DB table. Otherwise, the complex UPSERT statement (old syntax) is generated, as was the case in this issue. This is a known issue in the Postgres server software where it mis-interprets the number of columns involved. i.e., it mistakenly counts the number of columns twice. As a result, the actual maximum columns allowed is only half of the official limit (1664). The same UPSERT statement does not cause the “exceeds limit” exception if there are 832 or fewer columns in the statement. To resolve this, an option has been provided to select between the “original logic” (deletes and inserts) and the “merge statements” logic by way of the DSS “decision/datasets/db/useMergeStatementForUpdates”. Setting “true” will use the merge statement logic, and setting “false” will use deletes and inserts. When the DSS is not defined, the default is "true" and the system will use merge statements in the form preferred by Postgres 9.5+.
INC-180246 · Issue 699700
Support for apostrophe added to keyword tokenization
Resolved in Pega Version 8.7.1
A keyword containing an apostrophe was not detected properly in Text extraction model. This has been resolved by updating the annotator used in the tokenization.
INC-193399 · Issue 688115
DSS added to handle merges with lower versions of Postgres
Resolved in Pega Version 8.7.1
After update, executing the batch campaign with volume constraint resulted in the second data flow DF_Wait failing with error message "ERROR: number of columns (1844) exceeds limit (1664)". This was due to the database set’s change (in 8.5) to use the database layer’s merge statement. Prior to that, the logic used "deletes and inserts". Depending on the version of Postsgres, the generated SQL statement for a merge statement is different. The “INSERT … ON CONFLICT … UPDATE” syntax is generated for Postgres 9.5+ AND when there is a PK constraint defined for the DB table. Otherwise, the complex UPSERT statement (old syntax) is generated, as was the case in this issue. This is a known issue in the Postgres server software where it mis-interprets the number of columns involved. i.e., it mistakenly counts the number of columns twice. As a result, the actual maximum columns allowed is only half of the official limit (1664). The same UPSERT statement does not cause the “exceeds limit” exception if there are 832 or fewer columns in the statement. To resolve this, an option has been provided to select between the “original logic” (deletes and inserts) and the “merge statements” logic by way of the DSS “decision/datasets/db/useMergeStatementForUpdates”. Setting “true” will use the merge statement logic, and setting “false” will use deletes and inserts. When the DSS is not defined, the default is "true" and the system will use merge statements in the form preferred by Postgres 9.5+.
INC-193632 · Issue 679172
Cassandra driver metrics exposed for performance troubleshooting
Resolved in Pega Version 8.7.1
By default Cassandra driver metrics are now enabled. Metrics can be disabled by setting the dnode/disable_driver_metrics prconfig parameter.
INC-193847 · Issue 695974
DSS added to allow masking of subjectID in alerts
Resolved in Pega Version 8.7.1
In order to allow customizing whether or not a subjectID is included in alerts, a DSS has been added to conditionally mask the subjectID from being logged. To use this, set the "alerts/maskIHsubjectID" DSS in the Pega-DecisionEngine ruleset to true to hide the pySubjectID.
INC-194810 · Issue 691884
Removed services check and added warnings for simulations
Resolved in Pega Version 8.7.1
Attempting to run an audience simulation resulted in the error "Running simulations is not possible, because the required services are not available. Contact your system administrator to enable the data flow and real-time data grid services". Investigation showed the @DsmServices.pxHasFunctionalNodes("DataFlow","Batch") function call contained in the 'when' rule pyUnavailableDecisionServices was returning false even if all the nodes were in the cluster and all the DSM Services were in NORMAL status. To resolve this, the services check has been disabled and the simulation run will show a warning or fail if a data flow run is queued for more than 30 secs or if there is an issue with querying the underlying metrics storage.