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hot‑cold data

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Big Data Technology Architecture
Big Data Technology Architecture
May 29, 2019 · Backend Development

Elasticsearch Performance Optimization for Billion‑Scale Data

The article explains how to improve Elasticsearch query speed on tens of billions of records by leveraging filesystem cache, limiting indexed fields, using hot‑cold data separation, designing efficient document models, and employing scroll or search_after APIs to avoid deep pagination bottlenecks.

Filesystem CachePerformancehot‑cold data
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Elasticsearch Performance Optimization for Billion‑Scale Data