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Optimizing Elasticsearch involves using filters, caching, and measuring performance.

Elasticsearch offers three main autocomplete strategies, each with unique benefits and trade-offs.

Deep pagination in Elasticsearch can slow down searches significantly, but there are efficient methods to handle it.

Elasticsearch offers two pagination methods: from & size for shallow pages and search_after for deep pages.

Elasticsearch CCR allows real-time data replication for faster disaster recovery.

Elasticsearch ILM automates index management to reduce storage costs and meet data needs.

The dual-write trap in Elasticsearch can cause data inconsistency during reindexing.

A document in Elasticsearch isn't searchable right after it's saved due to the refresh process.

Elasticsearch rescoring improves search result rankings using a two-stage process.

Elasticsearch ILM automates data management through defined lifecycle phases.

Elasticsearch Hybrid Search combines keyword and semantic searches for better results.