例子:

> db.stuff.save({"foo":"bar"});

> db.stuff.find({"foo":"bar"}).count();
1
> db.stuff.find({"foo":"BAR"}).count();
0

当前回答

从MongoDB 3.4开始,执行快速不区分大小写搜索的推荐方法是使用不区分大小写索引。

我亲自给其中一位创始人发了邮件,请他把这个工作做好,他做到了!自2009年以来,JIRA上就有这个问题,许多人都要求提供这个功能。下面是它的工作原理:

通过指定强度为1或2的排序规则,可以创建不区分大小写的索引。你可以像这样创建一个不区分大小写的索引:

db.cities.createIndex(
  { city: 1 },
  { 
    collation: {
      locale: 'en',
      strength: 2
    }
  }
);

你也可以在创建集合时指定一个默认的排序规则:

db.createCollection('cities', { collation: { locale: 'en', strength: 2 } } );

在这两种情况下,为了使用不区分大小写的索引,你需要在find操作中指定与创建索引或集合时使用的相同的排序规则:

db.cities.find(
  { city: 'new york' }
).collation(
  { locale: 'en', strength: 2 }
);

这将返回"New York", "New York", "New York"等。

其他的笔记

The answers suggesting to use full-text search are wrong in this case (and potentially dangerous). The question was about making a case-insensitive query, e.g. username: 'bill' matching BILL or Bill, not a full-text search query, which would also match stemmed words of bill, such as Bills, billed etc. The answers suggesting to use regular expressions are slow, because even with indexes, the documentation states: "Case insensitive regular expression queries generally cannot use indexes effectively. The $regex implementation is not collation-aware and is unable to utilize case-insensitive indexes." $regex answers also run the risk of user input injection.

其他回答

你可以使用不区分大小写的索引:

下面的示例创建一个没有默认排序规则的集合,然后在名称字段上添加一个索引,排序规则不区分大小写。Unicode国际组件

/* strength: CollationStrength.Secondary
* Secondary level of comparison. Collation performs comparisons up to secondary * differences, such as diacritics. That is, collation performs comparisons of 
* base characters (primary differences) and diacritics (secondary differences). * Differences between base characters takes precedence over secondary 
* differences.
*/
db.users.createIndex( { name: 1 }, collation: { locale: 'tr', strength: 2 } } )

要使用索引,查询必须指定相同的排序规则。

db.users.insert( [ { name: "Oğuz" },
                            { name: "oğuz" },
                            { name: "OĞUZ" } ] )

// does not use index, finds one result
db.users.find( { name: "oğuz" } )

// uses the index, finds three results
db.users.find( { name: "oğuz" } ).collation( { locale: 'tr', strength: 2 } )

// does not use the index, finds three results (different strength)
db.users.find( { name: "oğuz" } ).collation( { locale: 'tr', strength: 1 } )

或者你可以创建一个默认排序规则的集合:

db.createCollection("users", { collation: { locale: 'tr', strength: 2 } } )
db.users.createIndex( { name : 1 } ) // inherits the default collation

使用Mongoose对我来说很管用:

var find = function(username, next){
    User.find({'username': {$regex: new RegExp('^' + username, 'i')}}, function(err, res){
        if(err) throw err;
        next(null, res);
    });
}

如果需要从变量中创建regexp,那么这是一种更好的方法:https://stackoverflow.com/a/10728069/309514

然后你可以这样做:

var string = "SomeStringToFind";
var regex = new RegExp(["^", string, "$"].join(""), "i");
// Creates a regex of: /^SomeStringToFind$/i
db.stuff.find( { foo: regex } );

这样做的好处是更加程序化,或者如果您经常重用它,则可以通过提前编译它来提高性能。

Mongo(当前版本2.0.0)不允许对索引字段进行不区分大小写的搜索——请参阅它们的文档。对于非索引字段,其他答案中列出的正则表达式应该是可以的。

我很惊讶没有人警告通过使用/^bar$/ I正则表达式注入的风险,如果bar是密码或帐户id搜索。例如,bar => .*@myhackeddomain.com,所以我的打赌是:使用\Q \E正则表达式特殊字符!PERL提供

db.stuff.find( { foo: /^\Qbar\E$/i } );

当bar = '\E *@myhackeddomain.com\Q'时,您应该使用\\字符转义bar变量,以避免再次被\E利用

另一种选择是使用一个regex转义字符策略,就像这里描述的Javascript等价于Perl的\Q…\E或quotemeta()