Neith & MelodyCache
I’ve just mapped out a 7‑tier taxonomy for my music library—tempo, key, mood, instrumentation, era, region, and language. Think we could run a quick test to see how fast we can pull up a track from that structure?
Sure, give me the data and a query, and we’ll time it. I’ll watch the numbers, not the hype.
Here’s a tiny mock dataset I use in the lab:
Artist,Title,Tempo,BPM,Key,Mood,Instrumentation,Era,Region,Language
The Velvet Echoes,Midnight Glide,Moderate,120,Am,Reflective,Strings,1970s,UK,English
Neon Pulse,Electric Pulse,Upbeat,140,F#,Energetic,Synths,2010s,USA,English
Silk Roads,Desert Dawn,Slow,60,C,Serene,World,2015,Middle East,Arabic
Jazz Quartet,Blue Note,Moderate,90,Bb,Melancholic,Brass,1950s,USA,English
Rising Tide,Oceanic,Upbeat,130,G,Adventurous,Electronic,2020,Japan,Japanese
Café Mornings,Afternoon Light,Easy,80,Em,Calm,Acoustic,1980s,France,French
The Quiet Hour,Still Night,Very Slow,40,D,Introspective,Cello,2000s,Sweden,Swedish
Query:
SELECT Title, Artist
FROM MusicLibrary
WHERE Tempo = 'Upbeat'
AND Era = '2010s'
AND Language = 'English'
ORDER BY BPM DESC;
Run that and let me know the time taken.
Run time: 0.2 ms. Track returned: “Electric Pulse” by Neon Pulse.