Hi Patrick,

nice to hear that you got it running! And thank you for sharing your knowledge!

For your the new question i think "virtual full" is the solution you are 
searching for.
Have look into the documentation.

With that option you can do an virtual full backup based on the data on your 
backup storage without getting the data from the client again.

Regards Marco

On Tuesday, October 20, 2015 at 7:01:56 PM UTC+2, Patrick Glomski wrote:
> Hey, Marco. Apologies on taking so long to respond. I dug into the manual 
> more, specifically the section dealing with Migration jobs. Apparently bareos 
> will not allow you to do a virtual full backup from one storage device to the 
> same storage device (the manual even mentioned the need for different media 
> types).
> 
> 
> I created a new pool (Brick01Storage_virt) and assigned it as the 'Next Pool' 
> in my other pool definitions (I've appended sanitized pool and storage 
> definitions). Virtual Full backups will now run successfully. However, now I 
> have a serious problem with both backup time and storage capacity. I was 
> looking for functionality like "Merge everything before this date into a new 
> Full backup to use as a baseline for incrementals and differentials". The 
> functionality I'm currently getting is "Make a merged copy of the data in 
> another storage pool". As my production system contains a Petabyte of 
> clustered storage, the model I have implemented isn't reasonable for daily 
> backups.
> 
> 
> The goal is currently to keep 10 days of incrementals. I can't do a "Full" 
> backup of this much data every ten days and I also can't copy/merge a 
> petabyte (and growing) of data in that time (nor do I have the 2x space 
> needed to do this). Is there any option in bareos for an in-place (or near to 
> in-place) merge of old jobs?
> 
> 
> If not, is there any other solution you can think of for this type of problem?
> 
> 
> 
> I appreciate your time,
> 
> 
> Patrick

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