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I don't have an answer to your questions, but we run Implementer at our company.
I don't' know what PFE and LFE object types are. Can you explain? They are not in the standard object code list. Are these a custom version of database types?

Outside of having implementer, how would you do this project?
I'm think you would probably create a new production data library for the new objects, copy the data to the new library and add the library into your jobd library lists above the current production data library.
And then with Implementer, create a new environment using the new data library.
Not a complete answer, but perhaps a starting point.

Good luck.

Paul
-----Original Message-----
From: MIDRANGE-L <midrange-l-bounces@xxxxxxxxxxxxxxxxxx> On Behalf Of Dan Bale
Sent: Friday, July 12, 2024 9:45 PM
To: Midrange Systems Technical Discussion <midrange-l@xxxxxxxxxxxxxxxxxx>
Subject: MKS / PTC Implementer question: converting object codes

This post is very Implementer specific. If you do not use or have never used Implementer, you may want to skip this post. (I reference MKS because many Implementer users never realized that PTC bought out MKS years ago.)

"For reasons", I need to duplicate the PF and LF object codes to PFE and LFE object codes, respectively, then convert hundreds of existing objects defined with the PF and LF object codes to PFE and LFE object codes. PTC provides articles 127578 "How to convert existing object from one object code to another in Implementer" (which doesn't apply to data files, but has relevant information) and 120120 "How to convert traditional DDS file to SQL DDL files in Implementer" (which is somewhat misnamed, since it also discusses the PF/LF to PFE/LFE type conversion as well). Those of us familiar with this process may remember that part of the process of converting data file objects requires creating a backup of the "live" data, wiping out the "live" files, promoting the files with the new object code, then copying back the data to the "live" files from the backup. Fine to do in a test/QA environment, not so much in a 99.99999% uptime SLA production environment when dealing with hundreds of large files.

Has anyone found a way to do this without taking production data files offline?

- Dan
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