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You can update Elasticsearch indices without downtime using alias switching.

Elasticsearch index templates automatically apply settings to new indices based on patterns.

Elasticsearch aliases allow zero-downtime switching between indices for applications.

Elasticsearch uses shards for data distribution and replicas for redundancy.

An inverted index helps search engines quickly find documents containing specific terms.

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

Elasticsearch documents aren't searchable immediately due to the indexing process.

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

Elasticsearch uses distributed architecture to search data quickly across multiple servers.

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

Elasticsearch distributes search queries across shards to find and retrieve results quickly.

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