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Using relevance-based search and search indexes - MongoDB教程
课程: Introduction to MongoDB
Using relevance-based search and search indexes
- Hi, folks. Let's start learning about Atlas Search, a powerful tool built into MongoDB Atlas that will help you create a search experience for users of your app without having to create your own search algorithm. In this video, we'll review use cases for Atlas Search, how relevance-based search differs from database search, how a search index differs from a database index, and the components of a search index. Atlas Search is a relevance-based search, which is when an applications end user seeks to surface records based on a search term. It's not a database search for a particular record. For example, suppose you go to MongoDB Docs and you're searching for specific information on Atlas Search. You can type Atlas Search into the search bar and it will show matches based on what you searched for. This is relevance-based search. In programming, one of the hardest things to do well is search through many items and return…
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Using relevance-based search and search indexes2 分钟 55 秒
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Creating a search index with dynamic field mapping3 分钟 28 秒
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Creating a search index with static field mapping3 分钟 19 秒
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Using $search and compound operators5 分钟 11 秒
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Grouping search results by using facets4 分钟 25 秒
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MongoDB Atlas Search review49 秒
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