MongoDB 查询布尔字段为 “not true”
对于这一点, يمكنك使用 $ne(不等于)运算符。语法如下所示 −
db.yourCollectionName.find({yourFieldName: {$ne: true}}).pretty();
为了理解上述语法,让我们创建一个包含文档的集合。用于创建包含文档的集合的查询如下所示 −
> db.queryForBooleanFieldsDemo.insertOne({"EmployeeName":"Larry","EmployeeAge":24,"isOldEmployee":true}); { "acknowledged" : true, "insertedId" : ObjectId("5c8b7f7680f10143d8431e13") } > db.queryForBooleanFieldsDemo.insertOne({"EmployeeName":"Mike","EmployeeAge":20,"isOldEmployee":false}); { "acknowledged" : true, "insertedId" : ObjectId("5c8b7f8680f10143d8431e14") } > db.queryForBooleanFieldsDemo.insertOne({"EmployeeName":"Sam","EmployeeAge":23,"isOldEmployee":false}); { "acknowledged" : true, "insertedId" : ObjectId("5c8b7f9380f10143d8431e15") } > db.queryForBooleanFieldsDemo.insertOne({"EmployeeName":"David","EmployeeAge":25,"isOldEmployee":true}); { "acknowledged" : true, "insertedId" : ObjectId("5c8b7fa280f10143d8431e16") } > db.queryForBooleanFieldsDemo.insertOne({"EmployeeName":"Carol","EmployeeAge":27,"isOldEmployee":true}); { "acknowledged" : true, "insertedId" : ObjectId("5c8b7fae80f10143d8431e17") }
在集合中使用 find() 方法显示所有文档。该查询如下所示 −
> db.queryForBooleanFieldsDemo.find().pretty();
以下是输出 −
{ "_id" : ObjectId("5c8b7f7680f10143d8431e13"), "EmployeeName" : "Larry", "EmployeeAge" : 24, "isOldEmployee" : true } { "_id" : ObjectId("5c8b7f8680f10143d8431e14"), "EmployeeName" : "Mike", "EmployeeAge" : 20, "isOldEmployee" : false } { "_id" : ObjectId("5c8b7f9380f10143d8431e15"), "EmployeeName" : "Sam", "EmployeeAge" : 23, "isOldEmployee" : false } { "_id" : ObjectId("5c8b7fa280f10143d8431e16"), "EmployeeName" : "David", "EmployeeAge" : 25, "isOldEmployee" : true } { "_id" : ObjectId("5c8b7fae80f10143d8431e17"), "EmployeeName" : "Carol", "EmployeeAge" : 27, "isOldEmployee" : true }
以下是布尔字段为 “not true” 的查询 −
> db.queryForBooleanFieldsDemo.find({isOldEmployee: {$ne: true}}).pretty();
以下是输出 −
{ "_id" : ObjectId("5c8b7f8680f10143d8431e14"), "EmployeeName" : "Mike", "EmployeeAge" : 20, "isOldEmployee" : false } { "_id" : ObjectId("5c8b7f9380f10143d8431e15"), "EmployeeName" : "Sam", "EmployeeAge" : 23, "isOldEmployee" : false }
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