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Published Release Notes

Find release notes for the selected Pega Version and Capability

Browse resolved issues for Platform releases.

This documentation is for non-current versions of Pega Platform. For current release notes, go here.

Naming pattern changed for file data sets

Valid from Pega Version 8.6.3

File data sets are used to import from and export data to a file repository. In case of data export, prior to version 8.6.3, the first file exported had the same file name that was provided by the user in the data set, and any subsequent file exported to the repository had a unique identifier appended to it. Starting in Pega Platform version 8.6.3, each file has a unique identifier, automatically generated based on the data flow node, thread ID, and timestamp.

Upgrade impact

If your process to consume output files expects files with a specific name, it may not be able to process the resulting files correctly.

What steps are required to update the application to be compatible with this change?

If you have configured the process before updating to Pega Platform version 8.6.3, but the exported files are no longer recognized by downstream processing logic after the upgrade, ensure that the downstream tool is configured to recognize the files by a pattern rather than the full name. For example, when referring to files exported to the repository, use the * character to indicate a pattern instead of using the full file name. For example, use Export*.csv to refer to the files.

Decision Data Store data sets can be used only on DNodes

Valid from Pega Version 7.1.8

Data flows that contain Decision Data Store data sets as the primary or secondary source must be created and executed only on DNodes.

Data flows are not restarted automatically after application server restart

Valid from Pega Version 7.1.8

When you restart the application server or the Pega 7 server, you stop the execution of your data flows. The interrupted batch and real-time runs are marked as Failed

Recommendation:

  • Go to the Designer StudioDecisioning > Decisions > Data Flows > Batch processing tab and start the failed batch runs.
  • Go to the Designer StudioDecisioning > Decisions > Data Flows > Real-time processing tab and activate the failed real-time runs.

 

Value list and value group properties are not supported inside data flows

Valid from Pega Version 7.1.8

Value list and value group properties are not supported inside data flows, and you need to instead use other property types.

See the Pega 7 developer help to check all available property types.

Data flow preview size is fixed to 10

Valid from Pega Version 7.1.8

The Preview option for each shape in data flows returns the first 10 records. This value is fixed and currently cannot be changed.

Data Flow transformation shapes cannot be used in combination with the Compose or Merge shapes

Valid from Pega Version 7.1.8

When you reference another data flow from a data flow that contains the Compose or Merge shape, the referenced data flow cannot contain transformation shapes (EventStrategy, Decision strategy, Convert).

Data flow validation does not currently prevent you from designing a data flow that goes against this design pattern. Make sure that your data flows follow this design pattern by checking the referenced and referencing data flows.

 

Data flow destination is resolved at assembly time

Valid from Pega Version 7.1.8

Data flow execution always uses the design-time destination data sets or destination data flows, regardless of the input records at run time.

Example:

You create a data flow and set the destination to a specific data set. In the data flow, you use a strategy that produces some results. Regardless of these results, the execution of your data flow always uses the destination data set that you specified when you designed the data flow.    

The same applies when you set the destination to a data flow.

 

 

Problem with truncating Decision Data Store data set

Valid from Pega Version 7.1.9

The Truncate operation for the Decision Data Store data set may cause timeout exceptions. This problem is caused by the Apache Cassandra database that waits until compaction tasks finish before it can truncate the data set.

Recommendation:

Repeat the Truncate operation until it is successful.

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