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You have an index with heavy write load and want to optimize indexing speed without losing data visibility for search. Which approach best balances performance and freshness?

hard🚀 Application Q15 of Q15

Elasticsearch - Performance and Scaling

You have an index with heavy write load and want to optimize indexing speed without losing data visibility for search. Which approach best balances performance and freshness?

ASet <code>index.refresh_interval</code> to a higher value during indexing, then manually refresh after bulk load

BSet <code>index.refresh_interval</code> to <code>0</code> to refresh after every write

CDisable refresh permanently by setting <code>index.refresh_interval</code> to <code>-1</code> and never refresh

DDelete the index and create a new one for each bulk load

Step-by-Step Solution

Solution:

Step 1: Understand trade-off between refresh interval and indexing speed
Frequent refreshes slow indexing but improve data freshness; less frequent refreshes speed indexing but delay visibility.
Step 2: Choose best practice for heavy write load
Setting a higher refresh interval during bulk indexing reduces refresh overhead, then manually refreshing after bulk load balances speed and search freshness.
Final Answer:
Set index.refresh_interval to a higher value during indexing, then manually refresh after bulk load -> Option A
Quick Check:
Adjust refresh interval for bulk, then manual refresh [OK]

Quick Trick: Increase refresh interval during bulk, refresh manually after [OK]

Common Mistakes:

MISTAKES

Setting refresh_interval to 0 causes slow indexing
Disabling refresh permanently loses search freshness
Deleting index wastes resources

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