Understanding Indexing
Indexing in Elasticsearch is the process of adding data to an index. An index is like a database in traditional SQL databases, but with Elasticsearch, it’s more flexible and dynamic. It’s where your data is stored and searched. Each index consists of one or more shards, which are the basic building blocks of Elasticsearch’s distributed nature.
When you index a document, Elasticsearch stores that document and makes it searchable. A document is simply a JSON object containing key-value pairs of data. For example, if you’re indexing documents about products, each document might contain fields like “name“, “description“, “price“, etc.
Indexing Data in Elasticsearch
In Elasticsearch, indexing data is a fundamental task that involves storing, organizing, and making data searchable. Understanding how indexing works is crucial for efficient data retrieval and analysis. This guide will walk you through the process of indexing data in Elasticsearch step by step, with clear examples and outputs.
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