Simple archive format designed for quickly reading some files without extracting the entire archive

Related tags

File & Path Utilitieshop
Overview

hop

Simple archive format designed for quickly reading some files without extracting the entire archive. Possibly will be used in Bun.

25x faster than unzip and 10x faster than tar at reading individual files (uncompressed)

Format Random access Fast extraction Fast archiving Compression Encryption Append
hop ✅ ✅ ✅ ❌ ❌ ❌
tar ❌ ✅ ✅ ❌ ❌ ✅
zip ✅ (when small) ❌ ❌ ✅ ✅ ✅

Features:

  • Faster at printing individual files than tar & zip (compression disabled)
  • Faster extraction than zip, comparable to tar (compression disabled)
  • Faster archiving than zip, comparable to tar (compression disabled)

Anti-features:

  • Single-threaded (but doesn't need to be)
  • I wrote it in about 3 hours and there are no tests
  • No checksums yet. Probably not a good idea to use this for untrusted data until that's fixed.
  • Ignores symlinks
  • Can't be larger than 4 GB
  • Archives are read-only and file names are not normalized across platforms

Usage

Download the binary from /releases

To create an archive:

hop ./path-to-folder

To extract an archive:

hop archive.hop

To print one file from the archive:

hop archive.hop package.json

Why?

Why can't software read many tiny files with similar performance characteristics as individual files?

  • Reading and writing lots of tiny files incurs significant syscall overhead, and (npm) packages often have lots of tiny files. Zip files are unacceptably slow to read from like a directory. tar files extract quickly, but are slow at non-sequential access.
  • Reading directory entries (ls) in large directory trees is slow

Some benchmarks

On macOS 12 with an M1X

Using tigerbeetle github repo as an example

Extracting:

image

Archiving:

image

On an Ubuntu AMD64 server

Extracting a node_modules folder

image

Why faster?

  • It stores an array of hashes for each file path and the list of files are sorted lexigraphically. This makes non-sequential access faster than tar, but can make creating new archives slower.
  • Does not store directories, only files
  • .hop files are read-only (more precisely, one could append but would have to rewrite all metadata)
  • copy_file_range
  • packed struct makes serialization & deserialization very fast because there is very little encoding/decoding step.

How does it work?

  1. File contents go at the top, file metadata goes at the bottom
  2. This is the metadata it currently stores:
package Hop;

struct StringPointer {
    uint32 off;
    uint32 len;
}

struct File {
    StringPointer name;
    uint32 name_hash;
    uint32 chmod;
    uint32 mtime;
    uint32 ctime;
    StringPointer data;
}

message Archive {
    uint32 version = 1;
    uint32 content_offset = 2;
    File[] files = 3;
    uint32[] name_hashes = 4;
    byte[] metadata = 5;
}
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Comments
  • just curious: why use zig?

    just curious: why use zig?

    I'm not familiar with zig and honestly heard it today first in my life. At first glance, s cool language I think!

    Do you have any specific reasons to use zig?

    opened by roeniss 0
  • front page results about

    front page results about "25x faster" are incorrect

    The tests on the front page have extremely small total times, a single milliseconds range. This means you are measuring mostly startup overhead and not actually decompression (the benchmarking harness tells you the same thing as well: "Command took less than 5 milliseconds, results may be inaccurate")

    In order for performance tests to be accurate, you need to re-measure it with larger archives and more data, so that overall time is no longer dominated by program startup.

    opened by theamk 1
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Jarred Sumner
Jarred Sumner
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