Error trying to restore GPT partition tables
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Hey @Tom-Elliott
I have reformed my server with the update of Fog in 1.3.4
I Capture the image from my MAC and by deploying I have the error message again except that now I have one more line that tells me about the kernel.
Below is my kernel version. Should I test with different kernels?
Thank you for your help to the community.
Bonjour @Tom-Elliott
J’ai fais reformater mon serveur avec la mise à jour de Fog en 1.3.4
J’ai télécharger l’image de mon MAC et en déployant j’ai à nouveau le message d’erreur sauf que maintenant j’ai une ligne en plus qui me parle du kernel.
Ci-dessous voici ma version de kernel. Dois-je faire le test avec différent kernel ?
Merci de votre aide la communauté.
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Hey @Tom-Elliott
I allow you to restart because I have the same error message with a more recent revision on a MAC.
Do you have an idea ?
@+
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@melvinpaz Can I ask you to update to the latest 1.4.0RCx release? There were several disk issues resolved in 1.4.0RC1. The developers are getting ready to release 1.4.0 (stable) very soon. I’m sure they would want to ensure your issue is resolved before the next stable release is made.
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@george1421 That she is how git to retrieve the version 1.4.0 RCx ?
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@melvinpaz If you already have git installed, you should be able to just change to the dev-branch and rerun the installer.
All things git and upgrading can be found:
https://wiki.fogproject.org/wiki/index.php?title=Upgrade_to_trunk
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Hey @Tom-Elliott et @george1421
The problem persists despite the update with the revision RC 1.4.0 RC8
I captured the image again and tried to deploy it without success
Do you have another idea?
@+
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The problem persists despite the update with the revision RC 1.4.0 RC9
I captured the image again and tried to deploy it without success
Do you have another idea?
@+
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@melvinpaz While it is appreciated, you don’t need to continue posting a picture of everything, only if the error itself is different.
Can you please reschedule this system as a “debug” task? I am suspecting the error is the e in the command and by being in debug we can test to find out exactly what’s wrong.
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I’ve made a very small change to the init’s based on what I suspect is the problem. Mind updating to RC 9.1 to see if it helps? No you do not need to post another picture, just let us know if it fails in the same manner (more or less).
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Hey @Tom-Elliott
I thank you for the update but the problem remains the same. Are there any restrictions on a minimum space in the partition that you want to deploy?
Let me explain :
I captured an image with 20 GB of available space. I get my capture but maybe the 20GB space on this partition is not enough to perform the deployment.I am currently reformatting the hard drive of the deployment machine and reinstalling the system without putting any contents in the hard drive. I will perform the capture and then the deployment. If it works, it takes a minimum amount of space available in the image in order to realize the deployment.
If you have this information about a percentage or quantity in GB of available space that should be left on the partition to deploy it would be cool to communicate it or share the link of this information because I did not find it.
We do not tell you it may not be enough but still thanks the community for the work done for this really practical tool
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@melvinpaz If the system was captured in resizable mode, the smallest size disk that can be used should be the “used” space, but this is not a perfect science unfortunately. Rather than capture as non-resizable, maybe try for resizable? (Unless there’s a specific reason not to).
When dealing with non-resizable images, the disk sizes must EXACTLY match one another. So if the reference machine was captured with a disk of 500GB and the system being deployed to is 250, you will run into problems. This would be regardless of the “used space” sizes.
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Hey @Tom-Elliott
I confirm that now everything works correctly. The error message was on one of the 2 partitions on the hard drive was too full. I will refine the settings and make you a return on the minimum size of available space to deploy.
I confirm that I capture and deploy on the same machine and therefore even hard drive. So no space problem available.
We can pass the inviter in resolve
As soon as I have the information on minimum available space I will add them in this topic@+
