Introduction to Multi-Index Search
Elasticsearch is designed to handle large volumes of data efficiently by allowing you to organize your data into multiple indices. An index in Elasticsearch is similar to a database in traditional SQL systems—it’s a collection of documents that share similar characteristics.
In real-world scenarios, you might have different indices for different types of data, such as:
- products: Index containing product information.
- users: Index containing user profiles.
- logs: Index containing application logs.
Performing a multi-index search enables you to search across these indices simultaneously, which can simplify your querying process and improve the overall performance of your application.
Elasticsearch Multi Index Search
In Elasticsearch, multi-index search refers to the capability of querying across multiple indices simultaneously. This feature is particularly useful when you have different types of data stored in separate indices and need to search across them in a single query. In this article, we’ll explore what multi-index search is, why it’s important, and how to use it effectively with practical examples.
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