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8ce6ec494d
Adopts ListenBrainz-inspired patterns to speed up imports from ~24h to under 30 minutes for 49k scrobbles. Phase 1 - track_lookup cache table: - New migration (000006) adds persistent entity lookup cache - Maps normalized (artist, track, album) → (artist_id, album_id, track_id) - SubmitListen fast path: cache hit skips 18 DB queries → 2 queries - Cache populated after entity resolution, invalidated on merge/delete - Benefits both live scrobbles and imports Phase 2 - SaveListensBatch: - New batch listen insert using pgx CopyFrom → temp table → INSERT ON CONFLICT - Thousands of inserts per second vs one-at-a-time Phase 3 - BulkSubmitter: - Reusable import accelerator for all importers - Pre-deduplicates scrobbles by (artist, track, album) in memory - Worker pool (4 goroutines) for parallel entity creation on cache miss - Batch listen insertion via SaveListensBatch Phase 4 - Migrate importers: - Maloja, Spotify, LastFM, ListenBrainz importers use BulkSubmitter - Koito importer left as-is (already fast with pre-resolved IDs) Phase 5 - Skip image lookups during import: - GetArtistImage/GetAlbumImage calls fully skipped when SkipCacheImage=true - Background tasks (FetchMissingArtistImages/FetchMissingAlbumImages) backfill Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
9 lines
337 B
Go
9 lines
337 B
Go
package catalog
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import "strings"
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// TrackLookupKey builds a normalized cache key for entity resolution.
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// Uses null-byte separators to avoid collisions between field values.
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func TrackLookupKey(artist, track, album string) string {
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return strings.ToLower(artist) + "\x00" + strings.ToLower(track) + "\x00" + strings.ToLower(album)
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}
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