Elasticsearch - Performance and Scaling
Which combination of Elasticsearch settings best balances indexing throughput and search freshness for a rapidly growing dataset with frequent writes and queries?
Which combination of Elasticsearch settings best balances indexing throughput and search freshness for a rapidly growing dataset with frequent writes and queries?
hard🚀 Application Q8 of Q15
Step-by-Step Solution
Solution:
Step 1: Understand refresh_interval impact
A moderate refresh interval (e.g., 5s) reduces refresh overhead while keeping search results reasonably fresh.Step 2: Translog durability setting
Setting translog durability to 'async' improves indexing throughput by batching fsync operations.Step 3: Evaluate other options
Immediate refresh (0) hurts indexing speed; disabling replicas reduces fault tolerance; disabling translog risks data loss.Final Answer:
Setrefresh_intervalto 5s and enableindex.translog.durabilityto 'async' -> Option CQuick Check:
Balance refresh and durability for throughput and freshness [OK]
Quick Trick: Moderate refresh + async translog balances speed and freshness [OK]
Common Mistakes:
MISTAKES- Setting refresh_interval to 0 causing slow indexing
- Disabling replicas risking data loss
- Disabling translog risking durability
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