Databases Intermediate

What is Elastic Search?

A distributed search and analytics engine built on Apache Lucene, optimized for full-text search and log analysis.

Elasticsearch indexes documents as JSON and provides powerful full-text search with relevance scoring. It supports fuzzy matching, aggregations, geospatial queries, and auto-completion. The ELK Stack (Elasticsearch, Logstash, Kibana) is the standard for log analysis.

Use cases include website search, application monitoring, security analytics, and business intelligence. Elasticsearch scales horizontally across clusters of nodes.

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A set of four properties (Atomicity, Consistency, Isolation, Durability) that guarantee reliable database transactions.

Full-Text Search

A technique for searching natural language text in databases using word stemming, ranking, and relevance scoring.

Database Connection Pooling

A technique that maintains a cache of database connections for reuse, reducing the overhead of creating new connections.

An advanced open-source relational database known for its reliability, feature richness, and standards compliance.

A technique of dividing large database tables into smaller, more manageable segments while maintaining a single logical table.

A database command that shows how the query planner will execute a SQL query, revealing join methods, scan types, and estimated costs.

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