Bug 745663

Summary: Anaconda should provide a way to force installation if RAM requirements aren't met
Product: [Fedora] Fedora Reporter: Noah Petherbridge <root>
Component: anacondaAssignee: Anaconda Maintenance Team <anaconda-maint-list>
Status: CLOSED WONTFIX QA Contact: Fedora Extras Quality Assurance <extras-qa>
Severity: medium Docs Contact:
Priority: unspecified    
Version: rawhideCC: anaconda-maint-list, jonathan, vanmeeuwen+fedora
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Hardware: All   
OS: Linux   
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Last Closed: 2011-10-13 14:03:42 UTC Type: ---
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Description Noah Petherbridge 2011-10-12 23:18:43 UTC
Description of problem:
When you boot the Live media of Fedora and want to install the OS, Anaconda will give you an error if your system RAM is less than 640 MB and refuses to proceed.

Anaconda used to provide an option to install in text mode instead in this case (liveinst -T). But as of Fedora 15, even this option doesn't work and gives you the same error.

Anaconda should provide a way to force installation anyway. If your system is strong enough to run the Live media there's a good chance it's strong enough to run Anaconda too.

This RAM requirement also doesn't make much sense with XFCE or LXDE Live media which have lesser requirements anyway.

Version-Release number of selected component (if applicable):
anaconda-15.31

How reproducible:
Always

Steps to Reproduce:
1. Boot the XFCE Live media for Fedora 15 on a system with 512 MB RAM.
2. Chances are good that the Live media is quite usable.
3. Attempt to install to the hard drive. Anaconda says you must have at least 640 MB RAM to continue.
4. Attempt to install in text mode (liveinst -T) and get the same error; this used to work in previous Fedora releases.
  
Actual results:
Anaconda won't let you install if your system has less than 640 MB RAM. There is no way to force it to install.

Expected results:
Anaconda should provide a way to ignore the warning and try your luck anyway. Either bring back the feature where `liveinst -T` allows you to install, or add a --force option.

Additional info:

Comment 1 Chris Lumens 2011-10-13 14:03:42 UTC
This is only going to result in weird, seemingly unexplainable bugs but only in certain circumstances.  The real fix here is to decrease anaconda's memory usage, which is something that is actively being worked on.