Archive Releases

Archiving in Digital.ai Release is a two-stage process that manages completed and aborted releases:

You can use the export hook feature to configure Release to run a Jython script for every release that is about to be archived.

This topic explains how to create a JDBC export hook in Release, allowing you to export data from the release system to a JDBC-compliant database. For more information, see Release export hooks.

Release stores completed releases in a database that is separate from the repository: the archived database. Besides the completed releases, metadata for reporting is stored in this database.

You can automate the cleanup of old releases by setting up a template with a cleanup script that will be periodically triggered by the criteria that you provide. You can use this procedure in cases where many releases are in a failed state that are older than the specified period of time.

You can clean up the archived releases in the archive database by purging the archived releases.