You can save Python objects in OML4Py datastores, which persist in the database.

You can grant or revoke read privilege access to a datastore or its objects to one or more users. You can restore the saved objects in another Python session.

The following topics describe the OML4Py functions for creating and managing datastores:

• About OML4Py Datastores
  In an OML4Py datastore, you can store Python objects, which you can then use in subsequent Python sessions; you can also make them available to other users or programs.
• Save Objects to a Datastore
  The oml.ds.save function saves one or more Python objects to a datastore.
• Load Saved Objects From a Datastore
  The oml.ds.load function loads one or more Python objects from a datastore into a Python session.
• Get Information About Datastores
  The oml.ds.dir function provides information about datastores.
• Get Information About Datastore Objects
  The oml.ds.describe function provides information about the objects in a datastore.
• Delete Datastore Objects
  The oml.ds.delete function deletes datastores or objects in a datastore.
• Manage Access to Stored Objects
  The oml.grant and oml.revoke functions grant or revoke the read privilege to datastores or to user-defined Python functions in the script repository.