A brief introduction of MongoDB Textsearch

MongoDB of Textsearch Introduction  

MongoDB supports text search operations on text content, which provides indexing text index and query operation $text to complete the textual search function. Let's take a simple example to experience the full-text search functionality that MongoDB provides.

1. Create a new blogs collection and insert the following document.

Db.blogs.insert ({_id:1,title: "MongoDB text Search", content: "This was a simple MongoDB text search Introduction"})

Db.blogs.insert ({_id:2,title: "MongoDB text Index", content: "This is AE MongoDB text index Introduction"})

Db.blogs.insert ({_id:3,title: "MongoDB text Operators", content: "This is AE MongoDB text query Introduction"})

2. Create text Index.

Only collection with text index supports full-text search;

Each collection can have only one text index;

The Text index can contain any field of type string, string array type;

Text index can contain multiple fields;

Execute the new text index statement as follows

Db.blogs.ensureIndex ({title: "Text", Content: "Text"})

3. Perform a simple full-text search

Db.blogs.find ({$text: {$search: "Index"}})

4. Query for records containing index or operators

Db.blogs.find ({$text: {$search: "Index Operators"}})

5. Query for records that contain MongoDB but do not contain search

Db.blogs.find ({$text: {$search: "Mongodb-search"}})

6. Query for records that contain text search phrases

Db.blogs.find ({$text: {$search: "\" Text Search\ ""}})

7. Use the Reorder search results

By default, the results returned by the full-text search are unordered;

Each full-text search MongoDB calculates a relative score for each document based on the degree of matching of the documents;

MongoDB provides $meta Textscore to support full-text search scores;

Db.blogs.find ({$text: {$search: "MongoDB Index"}}, {score:{$meta: "Textscore"}}). sort ({score:{$meta: "Textscore"}})

A brief introduction of MongoDB Textsearch