Caleb Gardner
17d45eea50
Added FastOptions as an alternative to DefaultOptions A few performance improvements A few bug fixes
41 lines
2.4 KiB
Markdown
41 lines
2.4 KiB
Markdown
# squashfs
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[](https://pkg.go.dev/github.com/CalebQ42/squashfs) [](https://goreportcard.com/report/github.com/CalebQ42/squashfs)
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A PURE Go library to read squashfs. There is currently no plans to add archive creation support as it will almost always be better to just call `mksquashfs`. I could see some possible use cases, but probably won't spend time on it unless it's requested (open a discussion if you want this feature).
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The library has two parts with this `github.com/CalebQ42/squashfs` being easy to use as it implements `io/fs` interfaces and doesn't expose unnecessary information. 95% this is the library you want. If you need lower level access to the information, use `github.com/CalebQ42/squashfs/squashfs` where far more information is exposed.
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Currently has support for reading squashfs files and extracting files and folders.
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Special thanks to <https://dr-emann.github.io/squashfs/> for some VERY important information in an easy to understand format.
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Thanks also to [distri's squashfs library](https://github.com/distr1/distri/tree/master/internal/squashfs) as I referenced it to figure some things out (and double check others).
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## FUSE
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As of `v1.0`, FUSE capabilities has been moved to [a separate library](https://github.com/CalebQ42/squashfuse).
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## Limitations
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* No Xattr parsing.
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* Socket files are not extracted.
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* From my research, it seems like a socket file would be useless if it could be created.
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* Fifo files are ignored on `darwin`
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## Issues
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* Significantly slower then `unsquashfs` when extracting folders
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* This seems to be related to above along with the general optimization of `unsquashfs` and it's compression libraries.
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* Times seem to be largely dependent on file tree size and compression type.
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* My main testing image (~100MB) using Zstd takes about 6x longer.
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* An Arch Linux airootfs image (~780MB) using XZ compression with LZMA filters takes about 32x longer.
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* A Tensorflow docker image (~3.3GB) using Zstd takes about 12x longer.
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Note: These numbers are using `FastOptions()`. `DefaultOptions()` takes about 2x longer.
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## Recommendations on Usage
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Due to the above performance consideration, this library should only be used to access files within the archive without extraction, or to mount it via Fuse.
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* Neither of these use cases are largely effected by the issue above.
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