Why Use Multi-Index Search?
There are several reasons why multi-index search is beneficial:
- Centralized Searching: Instead of executing separate queries on each index, you can consolidate your search logic into a single query that spans multiple indices.
- Efficiency: Multi-index search can be more efficient than individual index searches, especially when dealing with large datasets.
- Simplified Architecture: It allows for a cleaner architecture by logically separating different types of data into distinct indices.
- Cross-Domain Queries: If your application involves multiple domains (e.g., products and users), you can seamlessly search across them using multi-index search.
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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