MongoDB full-text search and tagging

Simple translation.

Original article: http://www.mongodb.org/display/DOCS/Full+Text+Search+in+Mongo

MongoDB adds an array of tags to implement the tag function ).

OBJ = {
Name: "Apollo ",
Text: "Some text about Apollo moon landings ",
Tags: ["moon", "Apollo" "spaceflight",]
}

Index creation:

DB. Articles. ensureindex ({tags: 1 });

Search:

// Search for a document labeled "Apollo" in articles and output the name attribute of the document.

> Print (db. Articles. findone ({tags: "Apollo"}). Name );
Apollo

Full-text search divides all text into a keywords array, which is essentially the same as the tag function:

{Title: "This is fun ",
_ Keywords: ["this", "is", "fun"]
}

Compared with dedicated full-text search engines:

MongoDB is only a built-in function that enables full-text search. It is not a dedicated full-text search engine.

The dedicated full-text search engine provides the following features:

1. Word Segmentation

2. Rank query (MongoDB can implement, but you need to writeCode)

3. Bulk index Building

Although bulk index building can quickly create indexes, it cannot achieve real-time results. MongoDB has a great advantage in real-time, and traditional tools are difficult to achieve this effect.

Example:

The Business Insider web site uses MongoDB for its blog search function in production.
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Full text search with MongoDB at flowdock