Core Concepts and Architecture of Elasticsearch 📚

Advanced

Elasticsearch’s architecture revolves around several key components:

  • Cluster: A collection of node instances that work together.
  • Node: An individual Elasticsearch server that stores data and participates in cluster operations.
  • Index: A logical namespace for documents; similar to a database.
  • Document: A JSON object representing a unit of searchable data.
  • Shard and Replica: Indices are divided into shards for distributed storage. Replicas provide redundancy and load balancing.

Diagrammatically:

Cluster
  ├── Node 1 (Primary shard)
  ├── Node 2 (Replica shard)
  ├── Node 3 (Primary shard)

Understanding these concepts is crucial to leverage Elasticsearch’s full potential for scalable search solutions.