Boost High-Concurrency Performance with Redis Batch Query Techniques

This article explores four powerful Redis batch query methods—MGET, HMGET, pipeline, and Lua scripting—detailing their advantages, usage examples in Spring Boot, and practical considerations such as network latency reduction, client simplification, transaction performance, and atomic execution to enhance system efficiency under high-concurrency workloads.

LuaMGETPipeline

0 likes · 11 min read

Boost High-Concurrency Performance with Redis Batch Query Techniques

dbaplus Community

Jun 8, 2025 · Databases

How NeighborHash Boosts Real‑Time Recommendation Queries with Low Latency

To meet the ultra‑low latency demands of modern recommendation systems, the authors designed a distributed batch‑query architecture featuring the NeighborHash optimization—a cache‑line‑aware hash table that reduces memory accesses, combined with NVMe‑backed storage and AMAC techniques, achieving high throughput and near‑optimal bandwidth utilization.

NVMebatch querydistributed storage

0 likes · 19 min read

How NeighborHash Boosts Real‑Time Recommendation Queries with Low Latency

Sanyou's Java Diary

Mar 24, 2025 · Databases

Boost High‑Concurrency Performance with Redis Batch Query Techniques

This article explores why batch execution in Redis improves command efficiency, simplifies client logic, and enhances transaction performance, and then details four core batch query methods—MGET, HMGET, Pipeline, and Lua scripting—along with practical SpringBoot examples and best‑practice considerations.

Lua ScriptMGETPipeline

0 likes · 10 min read

Bitu Technology

Mar 21, 2025 · Backend Development

Optimizing Redis Latency for an Online Feature Store: A Batch Query Case Study

This article describes how Tubi improved the latency of its Redis‑backed online feature store for machine‑learning inference by analyzing query patterns, measuring client‑side bottlenecks, and applying optimizations such as binary Avro encoding, MGET usage, virtual partitioning, and parallel deserialization to meet a sub‑10 ms SLA.

Feature StoreLatencyMLOps

0 likes · 9 min read

Optimizing Redis Latency for an Online Feature Store: A Batch Query Case Study

Bilibili Tech

Jan 17, 2025 · Backend Development

NeighborHash: An Enhanced Batch Query Architecture for Real‑time Recommendation Systems

NeighborHash is a distributed batch‑query architecture for real‑time recommendation systems that combines a cache‑line‑optimized hash table—featuring Lodger Relocation, bidirectional cache‑aware probing, and inline‑chaining—with an NVMe‑backed key‑value service, versioned updates, and asynchronous memory‑access chaining to achieve sub‑microsecond, high‑throughput top‑N retrieval.

AMACNVMePerformance Optimization

0 likes · 20 min read

NeighborHash: An Enhanced Batch Query Architecture for Real‑time Recommendation Systems