您可以使用以下语法在MongoDB中选择一个字段:
db.yourCollectionName.find({"yourFieldName":yourValue},{"yourSingleFieldName":1,_id:0});
在上面的语法“ yourSingleFieldName”:1,_id:0表示从一个字段中获取所有数据而没有_id。
为了理解上述语法,让我们创建一个带有文档的集合。用于创建包含文档的集合的查询如下:
> db.singleFieldDemo.insertOne({"StudentName":"David","StudentAge":28}); { "acknowledged" : true, "insertedId" : ObjectId("5c6eba356fd07954a489067c") } > db.singleFieldDemo.insertOne({"StudentName":"Bob","StudentAge":18}); { "acknowledged" : true, "insertedId" : ObjectId("5c6eba406fd07954a489067d") } > db.singleFieldDemo.insertOne({"StudentName":"Chris","StudentAge":24}); { "acknowledged" : true, "insertedId" : ObjectId("5c6eba4c6fd07954a489067e") } > db.singleFieldDemo.insertOne({"StudentName":"Robert","StudentAge":26}); { "acknowledged" : true, "insertedId" : ObjectId("5c6eba586fd07954a489067f") }
现在,您可以借助find()
method显示集合中的所有文档。查询如下:
> db.singleFieldDemo.find().pretty();
以下是输出:
{ "_id" : ObjectId("5c6eba356fd07954a489067c"), "StudentName" : "David", "StudentAge" : 28 } { "_id" : ObjectId("5c6eba406fd07954a489067d"), "StudentName" : "Bob", "StudentAge" : 18 } { "_id" : ObjectId("5c6eba4c6fd07954a489067e"), "StudentName" : "Chris", "StudentAge" : 24 } { "_id" : ObjectId("5c6eba586fd07954a489067f"), "StudentName" : "Robert", "StudentAge" : 26 }
这是选择单个字段的查询:
> db.singleFieldDemo.find({"StudentAge":18},{"StudentName":1,"_id":0});
以下是输出:
{ "StudentName" : "Bob" }