要查询MongoDB中的前N行,可以使用聚合框架。让我们创建包含文档的集合
> db.topNRowsDemo.insertOne({"StudentName":"Larry","Score":78}); { "acknowledged" : true, "insertedId" : ObjectId("5ca26eee6304881c5ce84b91") } > db.topNRowsDemo.insertOne({"StudentName":"Chris","Score":45}); { "acknowledged" : true, "insertedId" : ObjectId("5ca26ef66304881c5ce84b92") } > db.topNRowsDemo.insertOne({"StudentName":"Mike","Score":65}); { "acknowledged" : true, "insertedId" : ObjectId("5ca26efe6304881c5ce84b93") } > db.topNRowsDemo.insertOne({"StudentName":"Adam","Score":55}); { "acknowledged" : true, "insertedId" : ObjectId("5ca26f066304881c5ce84b94") } > db.topNRowsDemo.insertOne({"StudentName":"John","Score":86}); { "acknowledged" : true, "insertedId" : ObjectId("5ca26f0f6304881c5ce84b95") }
以下是在find()
方法的帮助下显示集合中所有文档的查询
> db.topNRowsDemo.find().pretty();
这将产生以下输出
{ "_id" : ObjectId("5ca26eee6304881c5ce84b91"), "StudentName" : "Larry", "Score" : 78 } { "_id" : ObjectId("5ca26ef66304881c5ce84b92"), "StudentName" : "Chris", "Score" : 45 } { "_id" : ObjectId("5ca26efe6304881c5ce84b93"), "StudentName" : "Mike", "Score" : 65 } { "_id" : ObjectId("5ca26f066304881c5ce84b94"), "StudentName" : "Adam", "Score" : 55 } { "_id" : ObjectId("5ca26f0f6304881c5ce84b95"), "StudentName" : "John", "Score" : 86 }
这是您可以在MongoDB中的前N行查询的方法
> db.topNRowsDemo.aggregate([ ... {$sort: {StudentName: 1}}, ... {$limit: 5}, ... {$match: {Score: {$gt: 65}}} ... ]).pretty();
这将产生以下输出
{ "_id" : ObjectId("5ca26f0f6304881c5ce84b95"), "StudentName" : "John", "Score" : 86 } { "_id" : ObjectId("5ca26eee6304881c5ce84b91"), "StudentName" : "Larry", "Score" : 78 }