Any concept.
clear in 60 seconds.

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

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

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

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

The number of Elasticsearch nodes depends on storage, workload, and performance needs.

Elasticsearch uses shards for data distribution and replicas for redundancy.

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

Replicas keep your system available, while snapshots allow for data recovery.

Elasticsearch has different node roles that help manage data and scale clusters effectively.

Primary shards partition data, while replica shards duplicate it for redundancy.

Choose Elasticsearch for complex text searches, but use databases for structured queries.

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