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InstallParted
Parted is a disk partition application just like fdisk. However it's more advanced than fdisk in that it can create GPT format partitions in addition to normal partitions. All Apple Intel desktop hardware use GPT format for disk partitions and the AppleTV is no exception.
Creating the proper GPT disk format and partitions is critical for booting Linux on the AppleTV. The boot disk is GPT formatted and must have the proper GUID associated with specific partitions or the AppleTV will refuse to boot. GPT format uses unique GUIDs to indicate the partition format (msdos, ext3, hfsplus, efi, etc).
In order to create GPT format partitions, one must use parted. The AppleTV uses a special GUID to indicate the "Recovery" partition even though the partition is the same has hfsplus. The normal parted does not understand this special GUID so one needs to patch parted to be able to create the "Recovery" partition.
Warning If your file path name has spaces "/home/davilla/atv dev/work", then parted will not build properly. Make sure your file path does not have spaces in it.
**install build tools
sudo /usr/bin/apt-get install build-essential patch
```**
**build and install the patched parted.
sudo /usr/bin/apt-get remove parted
wget http://atv-bootloader.googlecode.com/files/parted-1.8.8-atv.tar.gz tar -xzf parted-1.8.8-atv.tar.gz
cd parted sudo ./install_parted.sh sudo ln -s /usr/local/sbin/parted /sbin/parted
parted --version
If you get a failed build on a warning about C99 inline functions not supported, then edit "install\_parted.sh" and change
./configure --enable-static=yes
to
./configure CFLAGS="-fgnu89-inline" --enable-static=yes
**If you run the "install\_parted.sh" script and get any errors building, stop and ask for help on the discussion group. Without successfully patching and building parted, you cannot create the proper GPT partitions and the AppleTV EFI firmware will not boot your USB disk.**
Done.
Unless otherwise noted, this is a reupload of the atv-bootloader Google Code Wiki when it was exported to GitHub. Credit to the original author davilla.