feat(database): shape the library like files, and shrink the catalog
Plans 013 and 014, the album page that prompted them, and the smaller fixes they turned up. Changelog, largest first. ## The local library is shaped like files, not like MusicBrainz `audio_files` carries its own tags and points at `albums` and `artists`; `file_genres` is the one real many-to-many. `recordings`, `release_group_recordings`, `artist_credit`, `artist_credit_artist`, `recording_genres`, `release_groups` and `release_to_rg` are gone from the local side, and with them a six-way join in every read, a `MIN(release_group_id)` subquery in eleven queries and a first-credited-artist subquery in nine. Measured on a real 25,966-file library, every many-to-many that model expressed was 1:1 in the data. - Ownership is a file. `GetFilePathsByRecordingMBIDs`, `LibraryMBIDIndex.CheckMBIDs`, `collectLibraryEntities` and `pruneStaleLocalCrossReferences` all join `audio_files`, so the 812 orphaned recordings, 216 release groups and 260 artists that library carried are now structurally impossible. - One projection: every track query selects from the `track_metadata` view, one row type, one mapper. Nine hand-rolled copies had drifted far enough to report different years on different screens. - `library_id = 0` means every library, so each list query exists once instead of scoped and unscoped with a branch at every call site. - No migration chain. `sql/schemas/` is the one description of the shape; `sql/migrations/`, `applyMigrations` and `schema_migrations` are squashed away, along with the drift between them that had sqlc generating against a stale schema. - `database.InsertTestTrack` is the one test seeder; twenty test files had been assembling the old FK chain each in its own order. ## The catalog stores its ids as bytes `explore_index`'s three 36-char MBID columns and its entity-type text are 16 raw bytes and a small integer. The table and its six indexes go 780 MB to 405 MB on a real 2,052,200-row catalog, which is why a fresh install is ~0.6 GB rather than ~1.0 GB. - `backend/explore/mbid.go` is the only place the encoding is known; everything above it speaks dashed strings. - `CHECK(length(mbid) = 16)` makes a stringly write fail at the insert rather than silently returning no rows, since SQLite does not coerce between TEXT and BLOB. - The importer asks the artifact what encoding it carries and converts on the way in, so the artifact already published keeps working and no format bump is needed. - `indexRowColumns`/`scanIndexRow` replace four copies of a 22-column list, and `TestStoredEncodingRoundTrips` sweeps every read path. ## An album page that says how much of the album is yours - One question, asked once: is there a file. `filePaths` is filled by a single batched lookup when the tracklist settles, and the badge, the Play count, the dimmed rows and every menu item read it — replacing four claims of decreasing confidence that could show a green tick on an album whose every action did nothing. - Play, Play 7 of 12, or no play button at all. - `total_tracks` on `explore_index` (~2 bytes over 400,677 release groups) and on `audio_files` from tags that have always carried it: a complete MBID-matched album now makes no catalog call at all, where it used to spend the most expensive request the app makes. - A merged cluster shows the running order the most releases agree on, and the version list marks the release you own rather than standing a synthetic entry in for it. - `AlbumReleasesFailed`: a slow fetch is no longer reported as a failed one by a 12-second timer. - Rows not in the library are dimmed in place (with `aria-disabled`) instead of the owned ones wearing a green tick and a legend. ## Caches and cover art get ceilings - Only the three tiers of a cover are stored; the full-resolution copy nothing rendered was 1,134 MB of a 1.4 GB covers directory. - One artist portrait is downloaded and the rest are remembered as URLs — 4.1 GB of a 5.3 GB cache was candidates no code path reads. - `browsedArtBudget` and `httpCacheBudget` bound what an age cannot: the same install held art for 5,770 artists in a 1,301-artist library. - `OrphanedArtistImagesJob` joined a bare MBID onto a sharded directory, so it deleted the rows that were the only record of the files it left behind. `explore.ArtistImageDir` is that layout's one definition now. ## The autotag queue asks whether there is work `tagging_items` was a row per album folder, not a queue, and no query read the `tag_status` column that held the answer. The four queue queries ask the files, which matters most where it is least visible: `startPrefetch` was scoring every album in a tagged library against MusicBrainz. ## Phantom playlist tracks resolve in place An M3U8 imported before its files leaves phantom rows; they now match by path and fall back to position, keep their place in the playlist when resolved, and pair best-first so two phantoms cannot claim the same file. ## Playing a track plays the list it is in Double-click, and Play on a single row's menu, queue the list as displayed with `startIndex` on that row — the album page and the track list used to queue one track and discard the album around it. A multi-row selection still plays exactly itself. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01AfVYUVExXsx1nSWrXN8mAh
This commit is contained in:
@@ -1,150 +1,50 @@
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-- Queries over genres and file_genres.
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--
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-- The track-returning ones live in audio_files.sql with the rest of the
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-- track_metadata reads; what is left here is the genre list itself and
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-- the link table's writes.
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-- name: UpsertGenre :one
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INSERT INTO genres (name) VALUES (?)
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ON CONFLICT(name) DO UPDATE SET name = name
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ON CONFLICT(name) DO UPDATE SET name = excluded.name
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RETURNING *;
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-- name: CreateRecordingGenre :exec
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INSERT OR IGNORE INTO recording_genres (recording_id, genre_id)
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VALUES (?, ?);
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-- name: LinkFileGenre :exec
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INSERT OR IGNORE INTO file_genres (audio_file_id, genre_id) VALUES (?, ?);
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-- name: DeleteRecordingGenres :exec
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DELETE FROM recording_genres
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WHERE recording_id = ?;
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-- name: DeleteFileGenres :exec
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DELETE FROM file_genres WHERE audio_file_id = ?;
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-- name: GetGenresByRecordingID :many
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SELECT g.*
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FROM genres g
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JOIN recording_genres rg ON g.id = rg.genre_id
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WHERE rg.recording_id = ?;
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-- name: GetGenreNamesByFile :many
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SELECT g.name FROM genres g
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JOIN file_genres fg ON fg.genre_id = g.id
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WHERE fg.audio_file_id = ?;
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-- name: DeleteAllRecordingGenres :exec
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DELETE FROM recording_genres;
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-- name: DeleteAllGenres :exec
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DELETE FROM genres;
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-- name: GetTracksByGenre :many
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SELECT
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af.file_path,
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af.length_milliseconds,
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COALESCE(r.name, '') AS title,
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COALESCE(ac.text, '') AS artist_name,
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r.track_number,
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r.disc_number,
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COALESCE(rlg.name, '') AS album,
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CAST(COALESCE(
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(SELECT GROUP_CONCAT(g2.name, '||')
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FROM recording_genres rg2
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JOIN genres g2 ON rg2.genre_id = g2.id
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WHERE rg2.recording_id = r.id),
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''
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) AS TEXT) AS genre,
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COALESCE(r.year, 0) AS year,
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COALESCE(r.composer, '') AS composer,
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COALESCE(ft.extension, '') AS file_type,
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af.sample_rate,
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af.bit_depth,
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af.channels,
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af.bitrate,
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af.file_size
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FROM genres g
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JOIN recording_genres rg ON g.id = rg.genre_id
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JOIN recordings r ON rg.recording_id = r.id
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JOIN audio_files af ON af.recording_id = r.id
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JOIN artist_credit ac ON r.artist_credit_id = ac.id
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LEFT JOIN (
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SELECT recording_id,
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MIN(release_group_id) AS release_group_id
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FROM release_group_recordings
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GROUP BY recording_id
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) rgr ON r.id = rgr.recording_id
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LEFT JOIN release_groups rlg ON rgr.release_group_id = rlg.id
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LEFT JOIN file_types ft ON af.file_type_id = ft.id
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WHERE g.name = ?
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ORDER BY r.name;
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-- name: GetTracksByGenreByLibrary :many
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SELECT
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af.file_path,
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af.length_milliseconds,
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COALESCE(r.name, '') AS title,
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COALESCE(ac.text, '') AS artist_name,
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r.track_number,
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r.disc_number,
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COALESCE(rlg.name, '') AS album,
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CAST(COALESCE(
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(SELECT GROUP_CONCAT(g2.name, '||')
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FROM recording_genres rg2
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JOIN genres g2 ON rg2.genre_id = g2.id
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WHERE rg2.recording_id = r.id),
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''
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) AS TEXT) AS genre,
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COALESCE(r.year, 0) AS year,
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COALESCE(r.composer, '') AS composer,
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COALESCE(ft.extension, '') AS file_type,
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af.sample_rate,
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af.bit_depth,
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af.channels,
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af.bitrate,
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af.file_size
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FROM genres g
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JOIN recording_genres rg ON g.id = rg.genre_id
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JOIN recordings r ON rg.recording_id = r.id
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JOIN audio_files af ON af.recording_id = r.id
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JOIN artist_credit ac ON r.artist_credit_id = ac.id
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LEFT JOIN (
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SELECT recording_id,
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MIN(release_group_id) AS release_group_id
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FROM release_group_recordings
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GROUP BY recording_id
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) rgr ON r.id = rgr.recording_id
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LEFT JOIN release_groups rlg ON rgr.release_group_id = rlg.id
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LEFT JOIN file_types ft ON af.file_type_id = ft.id
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WHERE g.name = ? AND af.library_id = ?
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ORDER BY r.name;
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-- name: CountGenreReferences :one
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SELECT COUNT(*) FROM recording_genres WHERE genre_id = ?;
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-- name: GetGenreNamesByFilePaths :many
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-- Genres for many files at once. The mix builder asked this one file
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-- at a time, inside two nested loops -- twelve thousand single-row
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-- queries to assemble one mix.
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SELECT af.file_path, g.name
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FROM audio_files af
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JOIN file_genres fg ON fg.audio_file_id = af.id
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JOIN genres g ON g.id = fg.genre_id
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WHERE af.file_path IN (sqlc.slice('paths'));
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-- name: DeleteGenre :exec
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DELETE FROM genres WHERE id = ?;
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-- name: DeleteAllGenres :exec
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DELETE FROM genres;
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-- name: GetUnusedGenreIDs :many
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SELECT id FROM genres g
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WHERE NOT EXISTS (SELECT 1 FROM file_genres fg WHERE fg.genre_id = g.id);
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-- name: GetAllGenresWithCounts :many
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SELECT g.name, COUNT(rg.recording_id) AS track_count
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SELECT g.name, COUNT(fg.audio_file_id) AS track_count
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FROM genres g
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JOIN recording_genres rg ON g.id = rg.genre_id
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JOIN file_genres fg ON fg.genre_id = g.id
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JOIN audio_files af ON af.id = fg.audio_file_id
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WHERE af.library_id = COALESCE(NULLIF(CAST(sqlc.arg(library_id) AS INTEGER), 0), af.library_id)
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GROUP BY g.id, g.name
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ORDER BY g.name;
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-- name: GetAllGenresWithCountsByLibrary :many
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SELECT g.name, COUNT(rg.recording_id) AS track_count
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FROM genres g
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JOIN recording_genres rg ON g.id = rg.genre_id
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JOIN recordings r ON rg.recording_id = r.id
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JOIN audio_files af ON af.recording_id = r.id
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WHERE af.library_id = ?
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GROUP BY g.id, g.name
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ORDER BY g.name;
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-- Same as GetFilePathsByReleaseGroups, for "play these genres" (perf.m2):
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-- one query instead of one per genre, and file paths instead of whole
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-- track rows, which was 6 MB over the IPC for five genres.
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-- name: GetFilePathsByGenres :many
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SELECT g.name AS genre_name, af.file_path
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FROM genres g
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JOIN recording_genres rg ON g.id = rg.genre_id
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JOIN recordings r ON rg.recording_id = r.id
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JOIN audio_files af ON af.recording_id = r.id
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WHERE g.name IN (sqlc.slice('genre_names'))
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ORDER BY r.name;
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-- name: GetFilePathsByGenresByLibrary :many
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SELECT g.name AS genre_name, af.file_path
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FROM genres g
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JOIN recording_genres rg ON g.id = rg.genre_id
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JOIN recordings r ON rg.recording_id = r.id
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JOIN audio_files af ON af.recording_id = r.id
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WHERE g.name IN (sqlc.slice('genre_names'))
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AND af.library_id = ?
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ORDER BY r.name;
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