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OpenSearch is a scalable, flexible, and extensible open-source software suite for search, analytics, and observability applications licensed under Apache 2.0. OpenSearch is used in the industry for:

• Full-text search
• Data aggregations
• Logs, metrics and trace analysis
• Data discovery and visualisation of data

Plenty of regular databases offer search capabilities. Then why OpenSearch?

• You needfast full-text search that takes into account:
  • Normalisations
  • Synonyms
  • Stemming
  • Ranking by relevance
• You need fast data aggregations and analytics
• You want to offload the computational load from main database
• You need fast search across big number of properties
• You’re searching in JSON objects
• You require auto suggestions and fuzzy search

Please keep in mind that as a search engine database, OpenSearch isnot ACID compliant and only offers eventual consistency. It is also slower at deleting and modifying data when compared to a relational database.

In this tutorial, our goal is to explore OpenSearch, add some data, and perform various searches and analysis on the data. OpenSearch administration including OpenSearch high-availability, security, ACLs, etc are out of scope for this tutorial.

Prerequisites and setup

Generate mock data

Send data to OpenSearch

Search servers by location

Find servers with high memory usage

Find most used operating system

Find servers by multi_match keyword

Fuzzy search