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Which Elasticsearch feature helps reduce search latency by storing frequently accessed data in memory?

easy🧠 Conceptual Q1 of Q15
Elasticsearch - Performance and Scaling
Which Elasticsearch feature helps reduce search latency by storing frequently accessed data in memory?
AIndex lifecycle management
BSnapshot repository
CFielddata cache
DCluster state API
Step-by-Step Solution
Solution:
  1. Step 1: Understand caching in Elasticsearch

    Fielddata cache stores field values in memory to speed up sorting and aggregations.
  2. Step 2: Identify the feature that reduces latency

    Fielddata cache directly reduces search latency by avoiding disk reads.
  3. Final Answer:

    Fielddata cache -> Option C
  4. Quick Check:

    Caching = Fielddata cache [OK]
Quick Trick: Caching frequently accessed data reduces search latency [OK]
Common Mistakes:
MISTAKES
  • Confusing snapshot repository with caching
  • Thinking index lifecycle management affects latency directly
  • Assuming cluster state API improves search speed

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