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Resolved Issues

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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.

SR-B70652 · Issue 325760

Read operations updated for Datastax 3.1.x use

Resolved in Pega Version 7.3.1

In the 3.1.x Datastax driver reads are no longer retried by default. Therefore, the read operations have now been explicitly marked as idempotent to force the Datastax driver to retry timed out reads.

SR-B70652 · Issue 325924

Timeout error resolved for write future

Resolved in Pega Version 7.3.1

With retries enabled, the write future was timing out before retries could be completed. This has been fixed by removing the timeout on the write future since timeouts will be caught using Datastax driver exceptions.

SR-B74934 · Issue 327017

Facebook connector refined to handle page deletion while the AADrivetech is active

Resolved in Pega Version 7.3.1

A Facebook connector trying to connect to a invalid page was causing out of memory errors. In this scenario, a Facebook Page that was no longer required was deleted but the AADrivetech Facebook connector was left running. This connector, in its attempts to contact the Facebook page and retrieve the getFrom parameter which was now null, started to consume resources on the node leading to the outage. To solve this, the code has been modified to not expect the user name to always come from Facebook but instead put in an anonymous name if the page disappears.

SR-B76526 · Issue 326533

Backwards compatibility enhancement for @when() validation

Resolved in Pega Version 7.3.1

After upgrade, a Strategy rule which referred a 'when' with the syntax @when(isOnlineApplication) was failing with design time validation saying that when rule was not found in the SR and instead it had to find it in the Customer/Applies to class. For the @when() issue, the root cause was that the validation context of @when() was switched from Applies-To class to the Step Page class due to a change in the core engine. The behavior of expression parsing for when rule calls was changed in release 7.2. It used to take the Apply-to class to validate the existence of the rule, but not it is taking the Step Page class. And Strategy rule doesn't push/pop stackframe due to performance reasons, thus StepPage on stack for Strategy is always the same as Primary page. For greater compatibility, the system will set the PageContextClass to the Apply To class so the expression parser can validate the setup which is expected at run-time.

SR-B69409 · Issue 317548

CLOB type handling enhanced in Marketing

Resolved in Pega Version 7.3.1

Pega Marketing uses the out-of-the-box DSM activity pxRunDDFWithProgressPage for triggering Data flow runtime. After upgrade in DB2 environments, the DF execution completed but the activity returned a failure. It was found that if a CLOB column is present in the filter of a NativeSQL object invoked from an activity, the status had an error message even though functionality was fine. To ensure consistent behavior, CLOB has been added to supported data types so the severity of the exception can be changed so as to not show error message in activity's status.

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.

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