Mongodb multi condition fuzzy query example code



Fuzzy query is one of the basic operations of database, which can realize whether the given string matches the specified pattern. If the characters match exactly, it can be represented by = equal sign. If the characters match partially, it can be regarded as a fuzzy query. In relational data, use the syntax of like ‘% fens%’ through SQL. So how to achieve the effect of fuzzy query in mongodb.

query criteria

Keyword Explain
$or Or relationship
$nor Or relationship reversal
$gt greater than
$gte Greater than or equal to
$lt less than
$lte Less than or equal to
$ne Not equal to
$in In multiple value ranges
$nin Not in range of values
$all Match multiple values in an array
$regex Regular for fuzzy query
$size Match array size
$maxDistance Range query, distance (LBS based)
$mod Modular operation
$near Neighborhood query, query nearby location (based on LBS)
$exists Whether the field exists
$elemMatch Match elements in inner array
$within Range query (LBS based)
$box Range query, rectangular range
$center Range query, circular range
$centerSphere Range query, spherical range
$slice Query the elements in the field collection (for example, the nth to the m elements after the first few)

Fuzzy query

Precise query

//Mongodb database table
const systemUser = require('../../models/user'); 

Multi condition fuzzy query

//Mongodb database table
const systemUser = require('../../models/user');
//Keywords to query passed in from the front end
var name =;
Var page = 𞓜 1; // current number of pages
Var limitnums = 10; // specifies the number of queries per page
page = parseInt(page);
Var skipnums = (page - 1) * limitnums; // skip the specified number
//Regular match I ignore case
var reg = new RegExp(name, "i");
var _filter = {
 //Multi field matching
 $or: [
  {name: {$regex: reg}},
  {description: {$regex: reg}},
  {owner: {$regex: reg}},
//Skip the specified amount of data
//Specifies the number of records read from mongodb.


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