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Database bottlenecks slow down performance, but identifying them helps optimize and scale effectively.

Filters check conditions without affecting relevance, while queries do.

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

Cache breakdowns can overwhelm databases, but request coalescing solves this issue.

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

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

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

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