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

A database object that enables row-by-row processing of query results, useful for operations that cannot be done in bulk.

MVCC (Multi-Version Concurrency Control)

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

Write-Ahead Log (WAL)

A technique where changes are first written to a log before being applied to the database, ensuring crash recovery and data integrity.

A category of databases that store data in non-tabular formats, optimized for specific data models and access patterns.

A query that transforms rows into columns, creating a pivot table view of aggregated data.

Time-Series Database

A database optimized for storing and querying timestamped data points like metrics, sensor readings, and event logs.

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