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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-142084 · Issue 599876

Support added for expression in strategy scorecards

Resolved in Pega Version 8.2.8

When invoking REST against a dataflow that had a strategy containing a scorecard that used an expression and the "Include model explanations option" was enabled in the Strategy configuration, the system failed with the error "PropertyValueInvalid .pxMaxScore Cannot cast the value (unknown) to double". This was traced to the Scorecard explanations failing during serialization when an expression was used, and has been corrected.

INC-143927 · Issue 599491

Oracle database performance improvements

Resolved in Pega Version 8.2.8

When the IH Summary was enabled and materialized on an ADM model, updating the ADM model was very slow on large sites. This has been resolved by adding several performance improvements for working with Oracle databases, including Oracle pre/post processing steps.

SR-D93777 · Issue 565692

Handling added for Oracle Aggregate IH Summaries

Resolved in Pega Version 8.2.8

When using using (Non Materialized) IH Summaries to aggregate IH data, the data returned by the IH summary did not include all the expected records. If the same criteria was executed on the database via SQL or by using a strategy to process raw IH data then the results were as expected. This was due to a difference in handling of Oracle vs postgres which causes an order by clause not to be generated in the query: the postgres column name is lower case, while in Oracle it is upper case. This has been resolved by updating the system to get the column name correctly from the propertytocolumn map so IH records are returned in correct order by Browse By Keys operation.

SR-D95605 · Issue 565486

Data Flow correctly saved to Database table Dataset

Resolved in Pega Version 8.2.8

After setting up a dataflow with Report definition as a source and Database table dataset as destination with the option "Insert new records and override existing", a data transform was used to modify a few of the values and write to the same database table. This table was mapped to pegadata schema and didn't have a pzpvstream column. Running the data transform generated an exception stating "DataStoreSaveStatementWithoutStream(PageDatabaseMapperImpl). The error was not seen when the pzpvstream column was added or if pzInskey was also removed along with pzpvstream, or if "only insert new records" was selected. This was traced to pzInsKey and pxInsName being null in the query formed while writing. There are two execution paths for the database dataset save operation, one for internal tables and another one for external tables. For a table with pzInskey but no blob, the system was incorrectly using the external table logic. This has been corrected.

SR-D90367 · Issue 556687

Cleanup enhanced for long pyEditElement names

Resolved in Pega Version 8.5

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-D71621 · Issue 533296

Real time processing picks up correct datetime for Capture Response records

Resolved in Pega Version 8.5

A Realtime Data flow for the Capture Response flow was configured with a strategy shape set to load previous decisions within the past 7 days. Once this Realtime DF was started, attempting to Capture Response for decisions made after that startup timepoint did not work. This was traced to the InteractionID being written with global properties for the datetimes, and has been resolved by making those datetime properties local so the start and end time are not cached and the time range is calculated based on "now”.

SR-D85558 · Issue 548286

Handling added for prolonged Heartbeat Update Queries

Resolved in Pega Version 8.5

After restart, the pyFTSIncrementalIndexer queue size had hundreds of thousands of entries even though it was empty prior to the restart. Investigation traced this to a job scheduler that checked all the database connections everyday at 1 EST by using a list that contained some connections which did not exist. Checking those invalid connections caused other update queries to queue and wait, resulting in the update heartbeat query taking longer than its default beat. This caused a Split Brain issue wherein other nodes considered the long-executing node to be dead and triggered a rebalance while the node itself continued to execute partitions thinking that it was healthy. This caused duplicate processing of records. To resolve this, a fail safe has been added: while updating heartbeat in Service Registry, nodes will enter safe mode when the update query is taking longer than the default beat.

SR-D66397 · Issue 530333

ADM out-of-sync corrected for multi-datacenter Cassandra cluster

Resolved in Pega Version 8.5

After setting up the multi-datacenter configuration for a Cassandra cluster that consisted of six nodes in datacenter 1 and three nodes in datacenter 2, failover testing revealed a mismatch in the number of ADM models stored in each datacenter. The mismatch was observed mostly in the number of records present in the "adm_scoringmodel" and "adm_response_commit_log_date_tiered" tables. When Cassandra nodes are down, the other nodes in the cluster will store hints (records to be written) for the down nodes. When these nodes come back online the hints are replayed to those nodes and the data is written. Hints are written for 3 hours, so if a node come back up within 3 hours data is recovered and repairs are not required. The gc_grace_seconds for the above tables that were getting out of sync across the two datacenters was set to zero seconds. The "gc_grace_seconds" attribute is not just used as the time for removal of tombstones, it's also used to set the TTL for records written to the system.hints table. That meant that when the hints were written for the ADM tables for the nodes that were down, they were immediately expired since it was set to 0 and not played back when the terminated nodes restarted and joined the cluster. This has been resolved with this fix for all customers new to this release. Existing customers already on v7.3 or higher will need to complete the local change detailed below: Connect to the Cassandra cluster using cqlsh in the Pega Cassandra distribution and then run ALTER TABLE adm_commitlog.adm_response_commit_log_date_tiered WITH gc_grace_seconds = 86400; to change the relevant setting from zero to the equivalent of one day - the same length of time that the data in the table lives for. This will mean that any hints written can still be used to replay data to another node while the data itself is alive. It does also mean, however, that, given a constant load, a day's worth of expired ADM event data in the table will always be present on the disk, as the tombstones can now not be cleaned up for a day.

SR-D85095 · Issue 546341

Updated COUNT logic for strategies with ssavm set to true

Resolved in Pega Version 8.5

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-D78940 · Issue 542927

Dataflow monitoring enhanced

Resolved in Pega Version 8.5

Enhanced monitoring and healthchecks have been added for dataflow and alerts.

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