From the course: Elasticsearch Essential Training
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Core components of Elasticsearch - Elastic Stack Tutorial
From the course: Elasticsearch Essential Training
Core components of Elasticsearch
- [Instructor] Imagine you are building a real-time search engine for a social media platform. Millions of the user are searching for the names, hashtag, and post every second. How do you ensure that every query is processed instantly without slowing down the system? The secret lies in the Elasticsearch core components, which work together like a well-oiled machine to store, search, and analyze massive amount of data in milliseconds, but what exactly makes up Elasticsearch and how does it function behind the scene? Let's break it down. The core components are: indices, or indexes, documents, mappings, clusters, and the nodes. Let's go and deep dive into each one of them. Index. An index in Elasticsearch is like a category of a related information. For example, imagine you are running an online job portal and you might have a separate indices for job that stores the job description, salaries, and the location. You could have one index for companies, which is storing the company name…
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