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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Related Terms

PostgreSQL's binary JSON data type that stores JSON documents with indexing, querying, and manipulation capabilities.

MVCC (Multi-Version Concurrency Control)

A technique where the database maintains multiple versions of data to allow concurrent reads and writes without locking.

Database Index Types

Different index structures (B-tree, Hash, GIN, GiST, BRIN) optimized for various query patterns and data types.

The process of organizing database tables to reduce data redundancy and improve data integrity.

A database that uses graph structures with nodes, edges, and properties to store and query highly connected data.

Prepared Statement

A pre-compiled SQL template that uses parameters instead of literal values, preventing SQL injection and improving performance.

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