聚合框架，用于获取单项测试成绩低于所有测试总平均分的学生姓名
mongodbdatabasebig data analytics更新于 2026/1/8 22:52:17
为此，您可以使用aggregate()。我们将测试记录视为"Value1"、"Value2"等。让我们创建一个包含文档的集合 −
> 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 }
借助 find() 方法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 }
以下查询用于获取测试成绩低于所有测试平均成绩的学生姓名 −
> 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" ] }
