为此,您可以使用aggregate()
。我们已经将测试记录视为“ Value1”,“ Value2”等。让我们创建包含文档的集合-
> db.demo432.insertOne( ... { ... "_id" : 101, ... "Name" : "David", ... "Value1" : 67, ... "Value2" : 87, ... "Value3" : 78 ... } ... ) { "acknowledged" : true, "insertedId" : 101 } > db.demo432.insertOne( ... { ... "_id" : 102, ... "Name" : "Sam", ... "Value1" : 98, ... "Value2" : 45, ... "Value3" : 90 ... } ... ) { "acknowledged" : true, "insertedId" : 102 }
在find()
方法的帮助下显示集合中的所有文档-
> db.demo432.find();
这将产生以下输出-
{ "_id" : 101, "Name" : "David", "Value1" : 67, "Value2" : 87, "Value3" : 78 } { "_id" : 102, "Name" : "Sam", "Value1" : 98, "Value2" : 45, "Value3" : 90 }
以下是查询以使考试一分的学生的名字小于所有考试的平均值-
> db.demo432.aggregate([{ ... $project: { ... Name: '$Name', ... Value1: '$Value1', ... average: { ... $avg: ['$Value1', '$Value2', '$Value3'] ... } ... } ... }, ... { ... $group: { ... _id: null, ... NameValue1: { ... $push: { ... "Name": "$Name", ... "Value1": "$Value1" ... } ... }, ... totalAverage: { ... $avg: '$average' ... } ... } ... }, ... { $project: ... { lessthanAverageNames: ... { ... $map: ... { ... input: { ... $filter: { ... input: "$NameValue1", ... as: "out", ... cond: { ... $lt: ["$$out.Value1", "$totalAverage"] ... } ... } ... }, ... as: "o", ... in: "$$o.Name" ... } ... } ... } ... } ... ]);
这将产生以下输出-
{ "_id" : null, "lessthanAverageNames" : [ "David" ] }