MongoDB 全文和部分文本搜索

As at MongoDB 3.4, the text search feature is designed to support case-insensitive searches on text content with language-specific rules for stopwords and stemming. Stemming rules for supported languages are based on standard algorithms which generally handle common verbs and nouns but are unaware of proper nouns.

There is no explicit support for partial or fuzzy matches, but terms that stem to a similar result may appear to be working as such. For example: "taste", "tastes", and tasteful" all stem to "tast". Try the Snowball Stemming Demo page to experiment with more words and stemming algorithms.

Your results that match are all variations on the same word "LEONEL", and vary only by case and diacritic. Unless "LEONEL" can be stemmed to something shorter by the rules of your selected language, these are the only type of variations that will match.

If you want to do efficient partial matches you'll need to take a different approach. For some helpful ideas see:

• Efficient Techniques for Fuzzy and Partial matching in MongoDB by John Page
• Efficient Partial Keyword Searches by James Tan

There is a relevant improvement request you can watch/upvote in the MongoDB issue tracker: SERVER-15090: Improve Text Indexes to support partial word match.

import re


db.collection.find({"$or": [{"your field name": re.compile(text, re.IGNORECASE)},{"your field name": re.compile(text, re.IGNORECASE)}]})

As Mongo currently does not supports partial search by default...

I created a simple static method.

import mongoose from 'mongoose'


const PostSchema = new mongoose.Schema({
title: { type: String, default: '', trim: true },
body: { type: String, default: '', trim: true },
});


PostSchema.index({ title: "text", body: "text",},
{ weights: { title: 5, body: 3, } })


PostSchema.statics = {
searchPartial: function(q, callback) {
return this.find({
$or: [
{ "title": new RegExp(q, "gi") },
{ "body": new RegExp(q, "gi") },
]
}, callback);
},


searchFull: function (q, callback) {
return this.find({
$text: { $search: q, $caseSensitive: false }
}, callback)
},


search: function(q, callback) {
this.searchFull(q, (err, data) => {
if (err) return callback(err, data);
if (!err && data.length) return callback(err, data);
if (!err && data.length === 0) return this.searchPartial(q, callback);
});
},
}


export default mongoose.models.Post || mongoose.model('Post', PostSchema)

How to use:

import Post from '../models/post'


Post.search('Firs', function(err, data) {
console.log(data);
})

Without creating index, we could simply use:

db.users.find({ name: /<full_or_partial_text>/i}) (case insensitive)

I wrapped @Ricardo Canelas' answer in a mongoose plugin here on npm

Two changes made: - Uses promises - Search on any field with type String

Here's the important source code:

// mongoose-partial-full-search


module.exports = exports = function addPartialFullSearch(schema, options) {
schema.statics = {
...schema.statics,
makePartialSearchQueries: function (q) {
if (!q) return {};
const $or = Object.entries(this.schema.paths).reduce((queries, [path, val]) => {
val.instance == "String" &&
queries.push({
[path]: new RegExp(q, "gi")
});
return queries;
}, []);
return { $or }
},
searchPartial: function (q, opts) {
return this.find(this.makePartialSearchQueries(q), opts);
},


searchFull: function (q, opts) {
return this.find({
$text: {
$search: q
}
}, opts);
},


search: function (q, opts) {
return this.searchFull(q, opts).then(data => {
return data.length ? data : this.searchPartial(q, opts);
});
}
}
}


exports.version = require('../package').version;

Usage

// PostSchema.js
import addPartialFullSearch from 'mongoose-partial-full-search';
PostSchema.plugin(addPartialFullSearch);


// some other file.js
import Post from '../wherever/models/post'


Post.search('Firs').then(data => console.log(data);)

If you are using a variable to store the string or value to be searched:

It will work with the Regex, as:

{ collection.find({ name of Mongodb field: new RegExp(variable_name, 'i') }

Here, the I is for the ignore-case option

The quick and dirty solution, that worked for me: use text search first, if nothing is found, then make another query with a regexp. In case you don't want to make two queries - $or works too, but requires all fields in query to be indexed.

Also, you'd better not to use case-insensitive rx, because it can't rely on indexes. In my case I've made lowercase copies of used fields.

Good n-gram based approach for fuzzy matching is explained here (Also explains how to score higher for Results using prefix Matching) https://medium.com/xeneta/fuzzy-search-with-mongodb-and-python-57103928ee5d

Note : n-gram based approaches can be storage extensive and mongodb collection size will increase.

If you want to use all the benefits of MongoDB's full-text search AND want partial matches (maybe for auto-complete), the n-gram based approach mentioned by Shrikant Prabhu was the right solution for me. Obviously your mileage may vary, and this might not be practical when indexing huge documents.

In my case I mainly needed the partial matches to work for just the title field (and a few other short fields) of my documents.

I used an edge n-gram approach. What does that mean? In short, you turn a string like "Mississippi River" into a string like "Mis Miss Missi Missis Mississ Mississi Mississip Mississipp Mississippi Riv Rive River".

Inspired by this code by Liu Gen, I came up with this method:

function createEdgeNGrams(str) {
if (str && str.length > 3) {
const minGram = 3
const maxGram = str.length
        

return str.split(" ").reduce((ngrams, token) => {
if (token.length > minGram) {
for (let i = minGram; i <= maxGram && i <= token.length; ++i) {
ngrams = [...ngrams, token.substr(0, i)]
}
} else {
ngrams = [...ngrams, token]
}
return ngrams
}, []).join(" ")
}
    

return str
}


let res = createEdgeNGrams("Mississippi River")
console.log(res)

Now to make use of this in Mongo, I add a searchTitle field to my documents and set its value by converting the actual title field into edge n-grams with the above function. I also create a "text" index for the searchTitle field.

I then exclude the searchTitle field from my search results by using a projection:

db.collection('my-collection')
.find({ $text: { $search: mySearchTerm } }, { projection: { searchTitle: 0 } })

full/partial search in MongodB for a "pure" Meteor-project

I adpated flash's code to use it with Meteor-Collections and simpleSchema but without mongoose (means: remove the use of .plugin()-method and schema.path (altough that looks to be a simpleSchema-attribute in flash's code, it did not resolve for me)) and returing the result array instead of a cursor.

Thought that this might help someone, so I share it.

export function partialFullTextSearch(meteorCollection, searchString) {


// builds an "or"-mongoDB-query for all fields with type "String" with a regEx as search parameter
const makePartialSearchQueries = () => {
if (!searchString) return {};
const $or = Object.entries(meteorCollection.simpleSchema().schema())
.reduce((queries, [name, def]) => {
def.type.definitions.some(t => t.type === String) &&
queries.push({[name]: new RegExp(searchString, "gi")});
return queries
}, []);
return {$or}
};


// returns a promise with result as array
const searchPartial = () => meteorCollection.rawCollection()
.find(makePartialSearchQueries(searchString)).toArray();


// returns a promise with result as array
const searchFull = () => meteorCollection.rawCollection()
.find({$text: {$search: searchString}}).toArray();


return searchFull().then(result => {
if (result.length === 0) throw null
else return result
}).catch(() => searchPartial());


}

This returns a Promise, so call it like this (i.e. as a return of a async Meteor-Method searchContact on serverside). It implies that you attached a simpleSchema to your collection before calling this method.

return partialFullTextSearch(Contacts, searchString).then(result => result);

I create an additional field which combines all the fields within a document that I want to search. Then I just use regex:

user = {
firstName: 'Bob',
lastName: 'Smith',
address: {
street: 'First Ave',
city: 'New York City',
}
notes: 'Bob knows Mary'
}


// add combined search field with '+' separator to preserve spaces
user.searchString = `${user.firstName}+${user.lastName}+${user.address.street}+${user.address.city}+${user.notes}`


db.users.find({searchString: {$regex: 'mar', $options: 'i'}})
// returns Bob because 'mar' matches his notes field


// TODO write a client-side function to highlight the matching fragments