EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 1·5 min read
Indexing the Data Lake for Online Point Queries
TL;DR
Spotify developed Random Access Parquet (RAP) to enable fast point queries on massive datasets, significantly reducing query latency for user-specific data retrieval.
✦ Why It Matters
Implement RAP to optimize data retrieval processes for user-specific queries in your applications.
Key Takeaways
- Utilize Random Access Parquet for efficient data retrieval.
- Implement external indexing to reduce query latency.
- Access historical data without separate storage costs.
- Optimize data layout for faster point queries.
How It Works
RAP uses an external index to map keys directly to file locations in Parquet files, allowing for O(1) lookups. This eliminates the need for multiple dependent reads, significantly reducing latency and bandwidth usage.
By issuing ranged reads in parallel, RAP can fetch only the necessary data, making it ideal for interactive queries.