您可以为此使用$exists和$ne运算符。为了进一步理解该概念,让我们创建一个带有文档的集合。创建带有文档的集合的查询如下-
> db.checkFieldExistDemo.insertOne({"EmployeeId":1,"EmployeeName":"John","isMarried":true,"EmployeeSalary":4648585}); { "acknowledged" : true, "insertedId" : ObjectId("5c76f7b31e9c5dd6f1f78281") } > db.checkFieldExistDemo.insertOne({"StudentId":2,"StudentName":"John","isMarried":false," StudentAge":19}); { "acknowledged" : true,0 "insertedId" : ObjectId("5c76f7e11e9c5dd6f1f78282") }
在find()
method的帮助下显示集合中的所有文档。查询如下-
> db.checkFieldExistDemo.find().pretty();
输出结果
{ "_id" : ObjectId("5c76f7b31e9c5dd6f1f78281"), "EmployeeId" : 1, "EmployeeName" : "John", "isMarried" : true, "EmployeeSalary" : 4648585 } { "_id" : ObjectId("5c76f7e11e9c5dd6f1f78282"), "StudentId" : 2, "StudentName" : "John", "isMarried" : false, "StudentAge" : 19 }
这是检查该字段在MongoDB中是否存在的查询。
情况1-当一个字段存在于多个文档中时。查询如下-
> db.checkFieldExistDemo.find({"isMarried":{$exists:true,$ne:null}}).pretty();
输出结果
{ "_id" : ObjectId("5c76f7b31e9c5dd6f1f78281"), "EmployeeId" : 1, "EmployeeName" : "John", "isMarried" : true, "EmployeeSalary" : 4648585 } { "_id" : ObjectId("5c76f7e11e9c5dd6f1f78282"), "StudentId" : 2, "StudentName" : "John", "isMarried" : false, "StudentAge" : 19 }
情况2-如果一个文档中只有一个字段。查询如下-
> db.checkFieldExistDemo.find({"StudentName":{$exists:true,$ne:null}}).pretty();
输出结果
{ "_id" : ObjectId("5c76f7e11e9c5dd6f1f78282"), "StudentId" : 2, "StudentName" : "John", "isMarried" : false, "StudentAge" : 19 }