Mapping Optimization

HelloTech

Sep 20, 2024 · Big Data

Optimizing Elasticsearch Mapping to Reduce High CPU Usage: Challenges, Solutions, and Results

By refactoring the station‑profile index to eliminate over‑indexed and mis‑typed fields—cutting complex types from 282 to 74 and keywords from 67 to 59—the team lowered CPU peaks from 60 % to 50 %, reduced average CPU to 20 %, cut query latency to 150 ms, accelerated Flink sync to 10 minutes, and decommissioned two nodes, achieving substantial performance gains and cost savings.