EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Jul 26·5 min read
The secret life of data in Valkey
TL;DR
Valkey's data management system utilizes various data types like strings and hashes, but a hidden layer affects memory usage significantly. Understanding and configuring this layer can lead to substantial infrastructure savings.
✦ Why It Matters
Explore Valkey's hidden memory layer today to optimize your data storage and reduce costs.
Key Takeaways
- Use OBJECT ENCODING to identify inefficient data encodings.
- Adjust hash-max-listpack-value to optimize memory for hash data types.
- Consider data patterns when configuring encoding thresholds.
- Evaluate infrastructure needs based on memory savings from encoding adjustments.
How It Works
Valkey abstracts data storage through encoding, allowing different data types to be stored efficiently in memory. Each data type has thresholds that determine its encoding, such as 'listpack' for smaller data sizes and 'hashtable' for larger ones.
This mechanism enables Valkey to optimize memory usage without requiring users to manage the underlying data structures directly.