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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.
This article analyzes why Lettuce's mget on Redis Cluster performs poorly due to slot-based architecture, presents client-side refactoring using hashtags and pipeline‑based JedisCluster modifications, and shows benchmark results demonstrating up to double speed improvement over Lettuce.
In a Redis cluster, bulk MGET calls suffered intermittent latency spikes because keys were distributed across many hash slots, forcing multiple network round‑trips; the issue can be mitigated by grouping keys with a common hash tag (though it reduces HA) or by issuing parallel slot‑wise MGETs with careful tuning, which preserves topology for larger batches.