dbd26ba2e7
* perf(persistence): avoid a full media_file scan when resolving playlist paths FindByPaths built one OR-ed equality term per path. On the real media_file schema SQLite abandons the path index at just two OR-ed terms and falls back to SCAN media_file, re-testing every term against every row, so the cost grows with (rows x terms). Group the candidates by library and emit one IN list per library instead, which plans as SEARCH media_file USING INDEX media_file_path_nocase. The NOCASE collation is kept so ASCII case-insensitive matching still works. This is the dominant cost of M3U playlist import, which resolves every track on every scan. Measured with a 1000-track playlist against a migrated DB: 100k media_file rows: 397 -> 51,414 tracks/sec 500k media_file rows: 78.5 -> 47,174 tracks/sec The rate no longer degrades as the table grows, which is the expected shape for an index lookup. Reported in #6043, where an 8 hour scan of a 2M-song library spent 7h52m in the playlist phase. * docs(playlists): correct the stale reason for the M3U lookup chunk size The expression-tree depth ceiling applied to the old OR-per-path query, which capped a batch at roughly 500 terms. The IN form is bound by SQLite's 32766 variable limit instead, which the 400 candidates per chunk sit far below.
Navidrome Music Server 
Navidrome is an open source web-based music collection server and streamer. It gives you freedom to listen to your music collection from any browser or mobile device. It's like your personal Spotify!
Note: The master branch may be in an unstable or even broken state during development.
Please use releases instead of
the master branch in order to get a stable set of binaries.
Check out our Live Demo!
Any feedback is welcome! If you need/want a new feature, find a bug or think of any way to improve Navidrome, please file a GitHub issue or join the discussion in our Subreddit. If you want to contribute to the project in any other way (ui/backend dev, translations, themes), please join the chat in our Discord server.
Installation
See instructions on the project's website
Cloud Hosting
PikaPods has partnered with us to offer you an officially supported, cloud-hosted solution. A share of the revenue helps fund the development of Navidrome at no additional cost for you.
Features
- Handles very large music collections
- Streams virtually any audio format available
- Reads and uses all your beautifully curated metadata
- Great support for compilations (Various Artists albums) and box sets (multi-disc albums)
- Multi-user, each user has their own play counts, playlists, favourites, etc...
- Very low resource usage
- Multi-platform, runs on macOS, Linux and Windows. Docker images are also provided
- Ready to use binaries for all major platforms, including Raspberry Pi
- Automatically monitors your library for changes, importing new files and reloading new metadata
- Supports lyrics from sidecar .ttml, .yaml/.yml Lyricsfile, .elrc, .lrc, .srt, .txt files and embedded TTML, Enhanced LRC, LRC, SRT, and plain-text tags (via
lyricspriority) - Themeable, modern and responsive Web interface based on Material UI
- Compatible with all Subsonic/Madsonic/Airsonic clients
- Transcoding on the fly. Can be set per user/player. Opus encoding is supported
- Translated to various languages
Translations
Navidrome uses POEditor for translations, and we are always looking for more contributors
Documentation
All documentation can be found in the project's website: https://www.navidrome.org/docs. Here are some useful direct links:
Screenshots
