Elasticsearch - Performance and Scaling
You want to optimize shard sizing for a time-series index that grows by 5GB daily. Which strategy is best to keep shard sizes manageable over time?
You want to optimize shard sizing for a time-series index that grows by 5GB daily. Which strategy is best to keep shard sizes manageable over time?
hard🚀 Application Q9 of Q15
Step-by-Step Solution
Solution:
Step 1: Consider data growth and shard size
5GB daily growth means monthly data ~150GB, so monthly indices help manage size.Step 2: Use rollover and adjust shard count
Rollover creates new indices when size limits reached; adjusting shards keeps shards balanced.Final Answer:
Use monthly indices with rollover and shard count adjustment -> Option DQuick Check:
Time-series optimization = monthly rollover + shard tuning [OK]
Quick Trick: Use rollover and monthly indices for time-series [OK]
Common Mistakes:
MISTAKES- Using daily indices causes too many shards
- Single large index grows too big
- Fixed shard count ignores data growth
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