ede414094f
Rich Media parsing was previously handled on-demand with a 2 second HTTP request timeout and retained only in Cachex. Every time a Pleroma instance is restarted it will have to request and parse the data for each status with a URL detected. When fetching a batch of statuses they were processed in parallel to attempt to keep the maximum latency at 2 seconds, but often resulted in a timeline appearing to hang during loading due to a URL that could not be successfully reached. URLs which had images links that expire (Amazon AWS) were parsed and inserted with a TTL to ensure the image link would not break. Rich Media data is now cached in the database and fetched asynchronously. Cachex is used as a read-through cache. When the data becomes available we stream an update to the clients. If the result is returned quickly the experience is almost seamless. Activities were already processed for their Rich Media data during ingestion to warm the cache, so users should not normally encounter the asynchronous loading of the Rich Media data. Implementation notes: - The async worker is a Task with a globally unique process name to prevent duplicate processing of the same URL - The Task will attempt to fetch the data 3 times with increasing sleep time between attempts - The HTTP request obeys the default HTTP request timeout value instead of 2 seconds - URLs that cannot be successfully parsed due to an unexpected error receives a negative cache entry for 15 minutes - URLs that fail with an expected error will receive a negative cache with no TTL - Activities that have no detected URLs insert a nil value in the Cachex :scrubber_cache so we do not repeat parsing the object content with Floki every time the activity is rendered - Expiring image URLs are handled with an Oban job - There is no automatic cleanup of the Rich Media data in the database, but it is safe to delete at any time - The post draft/preview feature makes the URL processing synchronous so the rendered post preview will have an accurate rendering Overall performance of timelines and creating new posts which contain URLs is greatly improved. |
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About
Pleroma is a microblogging server software that can federate (= exchange messages with) other servers that support ActivityPub. What that means is that you can host a server for yourself or your friends and stay in control of your online identity, but still exchange messages with people on larger servers. Pleroma will federate with all servers that implement ActivityPub, like Friendica, GNU Social, Hubzilla, Mastodon, Misskey, Peertube, and Pixelfed.
Pleroma is written in Elixir and uses PostgresSQL for data storage. It's efficient enough to be ran on low-power devices like Raspberry Pi (though we wouldn't recommend storing the database on the internal SD card ;) but can scale well when ran on more powerful hardware (albeit only single-node for now).
For clients it supports the Mastodon client API with Pleroma extensions (see the API section on https://docs-develop.pleroma.social).
Installation
OTP releases (Recommended)
If you are running Linux (glibc or musl) on x86/arm, the recommended way to install Pleroma is by using OTP releases. OTP releases are as close as you can get to binary releases with Erlang/Elixir. The release is self-contained, and provides everything needed to boot it. The installation instructions are available here.
From Source
If your platform is not supported, or you just want to be able to edit the source code easily, you may install Pleroma from source.
- Alpine Linux
- Arch Linux
- CentOS 7
- Debian-based
- Debian-based (jp)
- FreeBSD
- Gentoo Linux
- NetBSD
- OpenBSD
- OpenBSD (fi)
OS/Distro packages
Currently Pleroma is packaged for YunoHost, NixOS, Gentoo through GURU and Archlinux through AUR. You may find more at https://repology.org/project/pleroma/versions.
If you want to package Pleroma for any OS/Distros, we can guide you through the process on our community channels. If you want to change default options in your Pleroma package, please discuss it with us first.
Docker
While we don’t provide docker files, other people have written very good ones. Take a look at https://github.com/angristan/docker-pleroma or https://glitch.sh/sn0w/pleroma-docker.
Raspberry Pi
Community maintained Raspberry Pi image that you can flash and run Pleroma on your Raspberry Pi. Available here https://github.com/guysoft/PleromaPi.
Compilation Troubleshooting
If you ever encounter compilation issues during the updating of Pleroma, you can try these commands and see if they fix things:
mix deps.clean --allmix local.rebarmix local.hexrm -r _build
If you are not developing Pleroma, it is better to use the OTP release, which comes with everything precompiled.
Documentation
- Latest Released revision: https://docs.pleroma.social
- Latest Git revision: https://docs-develop.pleroma.social
Community Channels
- IRC: #pleroma and #pleroma-dev on libera.chat, webchat is available at https://irc.pleroma.social
- Matrix: #pleroma:libera.chat and #pleroma-dev:libera.chat