OpenSearch How To's

Analyzing search slow logs in OpenSearch can provide users insights like the number of costly queries, reasons why queries were costly, so...

There are multiple ways to improve your OpenSearch aggregation performance. First, you should limit the scope by filtering documents...

By optimizing and maintaining OpenSearch search speed, you can improve your product’s user experience. Here's how to speed up search...

One of the most difficult issues to manage and resolve in OpenSearch is poor search performance. Here's how to optimize search performance.

Follow these steps to list and restore dangling indices in OpenSearch: (1) Run the dangling indices API & copy the...

The OpenSearch async search API retrieves many data in a stream fashion instead of a single request. To limit the maximum response size...

There are many approaches for autocomplete in OpenSearch: index time, query time, completion suggester & search as you type. To choose...

OpenSearch currently provides 3 different techniques for fetching many results: Pagination, Search-After and Scroll. To learn how to...

Rollup jobs in OpenSearch reduce old data storage costs by storing summaries of data for a given time period. Rollup examples include...

This guide explores how to reduce OpenSearch search latency based on a key study. The first lesson is to always...

OpenSearch offers three types of suggesters: term suggesters, phrase suggesters & completion suggesters (autocomplete). Suggesters work...

There are various methods for retrieving fields in OpenSearch, including: _source, stored_fields, fields & docvalue_fields. To retrieve...