惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

AI
AI
博客园 - 叶小钗
Blog — PlanetScale
Blog — PlanetScale
Microsoft Azure Blog
Microsoft Azure Blog
Vercel News
Vercel News
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
MyScale Blog
MyScale Blog
大猫的无限游戏
大猫的无限游戏
A
About on SuperTechFans
量子位
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
博客园 - 【当耐特】
Martin Fowler
Martin Fowler
阮一峰的网络日志
阮一峰的网络日志
D
Docker
Jina AI
Jina AI
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
The Register - Security
The Register - Security
J
Java Code Geeks
S
SegmentFault 最新的问题
月光博客
月光博客
G
Google Developers Blog
美团技术团队
Last Week in AI
Last Week in AI
L
LangChain Blog
Apple Machine Learning Research
Apple Machine Learning Research
T
The Blog of Author Tim Ferriss
腾讯CDC
Recent Announcements
Recent Announcements
Recorded Future
Recorded Future
The Cloudflare Blog
有赞技术团队
有赞技术团队
博客园_首页
博客园 - 聂微东
人人都是产品经理
人人都是产品经理
B
Blog
I
InfoQ
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
F
Fortinet All Blogs
B
Blog RSS Feed
Engineering at Meta
Engineering at Meta
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Microsoft Security Blog
Microsoft Security Blog
MongoDB | Blog
MongoDB | Blog
爱范儿
爱范儿
D
DataBreaches.Net
F
Full Disclosure
M
MIT News - Artificial intelligence
博客园 - 司徒正美
H
Help Net Security

Alexander Larsson

Testing composefs in Silverblue Announcing composefs 1.0 Composefs state of the union Using Composefs in OSTree Quadlet, an easier way to run system containers Compatibility in a sandboxed world Putting container updates on a diet Introducing GVariant schemas Gthree – ready to play
Scaling Flathub 100x
alexl · 2020-11-21 · via Alexander Larsson

Skip to content

Flatpak relies on OSTree to distribute apps. This means that flatpak repositories, such as Flathub, are really just OSTree repositories. At the core of an OSTree repository is the summary file, which describes the content of the repository.  This is similar to the metadata that “apt-get update” downloads.

Every time you do an flatpak install it needs the information in the summary file. The file is cached between operations, but any time the repository changes the local copy needs to be updated.

This can be pretty slow, with Flathub having around 1000 applications (times 4 architectures). In addition, the more applications there are, the more likely it is that one has been updated since the last time which means you need to update.

This isn’t yet a major problem for Flathub, but its just a matter of time before it is, as apps keep getting added:

This is particularly problematic if we want to add new architectures, as that multiplies the number of applications.

So, the last month I’ve been working in OSTree and Flatpak to solve this by changing the flatpak repository format. Today I released Flatpak 1.9.2 which is the first version to support the new format, and Flathub is already serving it (and the old format for older clients).

The new format is not only more efficient, it is also split by architecture meaning each user only downloads a subset of the total summary. Additionally there is a delta-based incremental update method for updating from a previous version.

Here are some data for the latest Flathub summary:

  • Original summary: 6,6M  (1.8M compressed)
  • New (x86-64) summary: 2.7M (554k compressed)
  • Delta from previous summary: 20k

So, if you’re able to use the delta, then it needs 100 times less network bandwidth compared to the original (compressed) summary and will be much faster.

Also, this means we can finally start looking at supporting other architectures in Flathub, as doing so will not inconvenience users of the major architectures.

To the future and beyond!