MongoDB 数组查询

> db.version()
        3.2.11

        > db.users.insertMany(
                  [
                     {
                       _id: 1,
                       name: "sue",
                       age: 19,
                       type: 1,
                       status: "P",
                       favorites: { artist: "Picasso", food: "pizza" },
                       finished: [ 17, 3 ],
                       badges: [ "blue", "black" ],
                       points: [
                          { points: 85, bonus: 20 },
                          { points: 85, bonus: 10 }
                       ]
                     },
                     {
                       _id: 2,
                       name: "bob",
                       age: 42,
                       type: 1,
                       status: "A",
                       favorites: { artist: "Miro", food: "meringue" },
                       finished: [ 11, 25 ],
                       badges: [ "green" ],
                       points: [
                          { points: 85, bonus: 20 },
                          { points: 64, bonus: 12 }
                       ]
                     },
                     {
                       _id: 3,
                       name: "ahn",
                       age: 22,
                       type: 2,
                       status: "A",
                       favorites: { artist: "Cassatt", food: "cake" },
                       finished: [ 6 ],
                       badges: [ "blue", "red" ],
                       points: [
                          { points: 81, bonus: 8 },
                          { points: 55, bonus: 20 }
                       ]
                     },
                     {
                       _id: 4,
                       name: "xi",
                       age: 34,         
                       type: 2,         
                       status: "D",
                       favorites: { artist: "Chagall", food: "chocolate" },
                       finished: [ 5, 11 ],
                       badges: [ "red", "black" ],
                       points: [
                          { points: 53, bonus: 15 },
                          { points: 51, bonus: 15 }
                       ]
                     },
                     {
                       _id: 5,
                       name: "xyz",
                       age: 23,
                       type: 2,
                       status: "D",
                       favorites: { artist: "Noguchi", food: "nougat" },
                       finished: [ 14, 6 ],
                       badges: [ "orange" ],
                       points: [
                          { points: 71, bonus: 20 }
                       ]
                     },
                     {
                       _id: 6,
                       name: "abc",
                       age: 43,
                       type: 1,
                       status: "A",
                       favorites: { food: "pizza", artist: "Picasso" },
                       finished: [ 18, 12 ],
                       badges: [ "black", "blue" ],
                       points: [
                          { points: 78, bonus: 8 },
                          { points: 57, bonus: 7 }
                       ]
                     }
                  ]
                )

//如下示例，数组字段badges每个包含该元素black的文档都将被返回
        > db.users.find({badges:"black"},{"_id":1,badges:1})
        { "_id" : 1, "badges" : [ "blue", "black" ] }
        { "_id" : 4, "badges" : [ "red", "black" ] }
        { "_id" : 6, "badges" : [ "black", "blue" ] }

//如下示例，数组字段badges的值为["black","blue"]的文档才能被返回(数组元素值和元素顺序全匹配)
        > db.users.find({badges:["black","blue"]},{"_id":1,badges:1})
        { "_id" : 6, "badges" : [ "black", "blue" ] }

数组的下标从0开始，指定下标值则返回对应的文档
        //如下示例，返回数组badges中第一个元素值为black的文档
        > db.users.find({"badges.1":"black"},{"_id":1,badges:1})
        { "_id" : 1, "badges" : [ "blue", "black" ] }
        { "_id" : 4, "badges" : [ "red", "black" ] }

//查询数组finished的元素值既大于15，又小于20的文档
        > db.users.find( { finished: { $gt: 15, $lt: 20}},{"_id":1,finished:1})
        { "_id" : 1, "finished" : [ 17, 3 ] }
        { "_id" : 2, "finished" : [ 11, 25 ] }
        { "_id" : 6, "finished" : [ 18, 12 ] }

        //下面插入一个新的文档，仅包含单个数组元素
        > db.users.insert({"_id":7,finished:[19]})
        WriteResult({ "nInserted" : 1 })

        //再次查询，新增的文档也被返回
        > db.users.find( { finished: { $gt: 15, $lt: 20}},{"_id":1,finished:1})
        { "_id" : 1, "finished" : [ 17, 3 ] }
        { "_id" : 2, "finished" : [ 11, 25 ] }
        { "_id" : 6, "finished" : [ 18, 12 ] }
        { "_id" : 7, "finished" : [ 19 ] }

//查询数组points元素1内嵌文档键points的值小于等于55的文档(精确匹配)
        > db.users.find( { 'points.0.points': { $lte: 55}},{"_id":1,points:1})
        { "_id" : 4, "points" : [ { "points" : 53, "bonus" : 15 }, { "points" : 51, "bonus" : 15 } ] }

    //查询数组points内嵌文档键points的值小于等于55的文档，此处通过.成员的方式实现
        > db.users.find( { 'points.points': { $lte: 55}},{"_id":1,points:1})
        { "_id" : 3, "points" : [ { "points" : 81, "bonus" : 8 }, { "points" : 55, "bonus" : 20 } ] }
        { "_id" : 4, "points" : [ { "points" : 53, "bonus" : 15 }, { "points" : 51, "bonus" : 15 } ] }

作用：数组值中至少一个元素满足所有指定的匹配条件
        语法：  { <field>: { $elemMatch: { <query1>, <query2>, ... } } }
        说明：  如果查询为单值查询条件，即只有<query1>，则无需指定$elemMatch

        //如下示例,为无需指定$elemMatch情形
        //查询数组内嵌文档字段points.points的值为85的文档
        > db.users.find( { "points.points": 85},{"_id":1,points:1})
        { "_id" : 1, "points" : [ { "points" : 85, "bonus" : 20 }, { "points" : 85, "bonus" : 10 } ] }
        { "_id" : 2, "points" : [ { "points" : 85, "bonus" : 20 }, { "points" : 64, "bonus" : 12 } ] }

        > db.users.find( { points:{ $elemMatch:{points:85}}},{"_id":1,points:1})
        { "_id" : 1, "points" : [ { "points" : 85, "bonus" : 20 }, { "points" : 85, "bonus" : 10 } ] }
        { "_id" : 2, "points" : [ { "points" : 85, "bonus" : 20 }, { "points" : 64, "bonus" : 12 } ] }

        //单数组查询($elemMatch示例)
        > db.scores.insertMany(
        ... [{ _id: 1, results: [ 82, 85, 88 ] }, //Author : Leshami
        ... { _id: 2, results: [ 75, 88, 89 ] }]) //Blog   : http://blog.csdn.net/leshami
        { "acknowledged" : true, "insertedIds" : [ 1, 2 ] }
        > db.scores.find({ results: { $elemMatch: { $gte: 80, $lt: 85 } } })
        { "_id" : 1, "results" : [ 82, 85, 88 ] }

        //数组内嵌文档查询示例($elemMatch示例)
        //查询数组内嵌文档字段points.points的值大于等于70，并且bonus的值20的文档(要求2个条件都必须满足)
        //也就是说数组points的至少需要一个元素同时满足以上2个条件，这样的结果文档才会返回
        //下面的查询数组值{ "points" : 55, "bonus" : 20 }满足条件
        > db.users.find( { points: { $elemMatch: { points: { $lte: 70 }, bonus: 20}}},{"_id":1,points:1})
        { "_id" : 3, "points" : [ { "points" : 81, "bonus" : 8 }, { "points" : 55, "bonus" : 20 } ] }

作用：数组值中满足所有指定的匹配条件，不考虑多出的元素以及元素顺序问题
        语法：{ <field>: { $all: [ <value1> , <value2> ... ] } }

        > db.users.find({badges:{$all:["black","blue"]}},{"_id":1,badges:1})
        { "_id" : 1, "badges" : [ "blue", "black" ] }  //此处查询的结果不考虑元素的顺序
        { "_id" : 6, "badges" : [ "black", "blue" ] }  //只要包含这2个元素的集合都被返回

        等价的操作方式
        > db.users.find({$and:[{badges:"blue"},{badges:"black"}]},{"_id":1,badges:1})
        { "_id" : 1, "badges" : [ "blue", "black" ] }
        { "_id" : 6, "badges" : [ "black", "blue" ] }

作用：返回元素个数总值等于指定值的文档
        语法：db.collection.find( { field: { $size: 2 } } );
        说明：$size不支持指定范围，而是一个具体的值。此外针对$size，没有相关可用的索引来提高性能

        //查询数组badges包含1个元素的文档       
        > db.users.find({badges:{$size:1}},{"_id":1,badges:1})
        { "_id" : 2, "badges" : [ "green" ] }
        { "_id" : 5, "badges" : [ "orange" ] }

        //查询数组badges包含2个元素的文档
        > db.users.find({badges:{$size:2}},{"_id":1,badges:1})
        { "_id" : 1, "badges" : [ "blue", "black" ] }
        { "_id" : 3, "badges" : [ "blue", "red" ] }
        { "_id" : 4, "badges" : [ "red", "black" ] }
        { "_id" : 6, "badges" : [ "black", "blue" ] }

作用：用于返回指定位置的数组元素值的子集(是数值元素值得一部分，不是所有的数组元素值)
        示例：db.collection.find( { field: value }, { array: {$slice: count } } );        

        //创建演示文档
        > db.blog.insert(
        ... {_id:1,title:"mongodb unique index",
        ... comment: [
        ... {"name" : "joe","content" : "nice post."},
        ... {"name" : "bob","content" : "good post."},
        ... {"name" : "john","content" : "greatly."}]}
        ... )
        WriteResult({ "nInserted" : 1 })

        //通过$slice返回集合中comment数组第一条评论
        > db.blog.find({},{comment:{$slice:1}}).pretty()
        {
                "_id" : 1,
                "title" : "mongodb unique index",
                "comment" : [
                        {
                                "name" : "joe",
                                "content" : "nice post."
                        }
                ]
        }

        //通过$slice返回集合中comment数组最后一条评论
        > db.blog.find({},{comment:{$slice:-1}}).pretty()
        {
                "_id" : 1,
                "title" : "mongodb unique index",
                "comment" : [
                        {
                                "name" : "john",
                                "content" : "greatly."
                        }
                ]
        }

        //通过$slice返回集合中comment数组特定的评论(可以理解为分页)
        //如下查询，返回的是第2-3条评论，第一条被跳过
        > db.blog.find({},{comment:{$slice:[1,3]}}).pretty()
        {
                "_id" : 1,
                "title" : "mongodb unique index",
                "comment" : [
                        {
                                "name" : "bob",
                                "content" : "good post."
                        },
                        {
                                "name" : "john",
                                "content" : "greatly."
                        }
                ]
        }

使用样式：
                db.collection.find( { <array>: <value> ... },
                                    { "<array>.$": 1 } )
                db.collection.find( { <array.field>: <value> ...},
                                    { "<array>.$": 1 } )

        使用示例
        > db.students.insertMany([
                { "_id" : 1, "semester" : 1, "grades" : [ 70, 87, 90 ] },
                { "_id" : 2, "semester" : 1, "grades" : [ 90, 88, 92 ] },
                { "_id" : 3, "semester" : 1, "grades" : [ 85, 100, 90 ] },
                { "_id" : 4, "semester" : 2, "grades" : [ 79, 85, 80 ] },
                { "_id" : 5, "semester" : 2, "grades" : [ 88, 88, 92 ] },
                { "_id" : 6, "semester" : 2, "grades" : [ 95, 90, 96 ] }])                                          

        //通过下面的查询可知，仅仅只有第一个大于等于85的元素值被返回
        //也就是说$占位符返回的是数组的第一个匹配的值，是数组的子集
        > db.students.find( { semester: 1, grades: { $gte: 85 } },
        ... { "grades.$": 1 } )
        { "_id" : 1, "grades" : [ 87 ] }
        { "_id" : 2, "grades" : [ 90 ] }
        { "_id" : 3, "grades" : [ 85 ] }


        > db.students.drop()

        //使用新的示例数据
        > db.students.insertMany([
                { "_id" : 7, semester: 3, "grades" : [ { grade: 80, mean: 75, std: 8 },
                                               { grade: 85, mean: 90, std: 5 },
                                               { grade: 90, mean: 85, std: 3 } ] },
            { "_id" : 8, semester: 3, "grades" : [ { grade: 92, mean: 88, std: 8 },
                                               { grade: 78, mean: 90, std: 5 },
                                               { grade: 88, mean: 85, std: 3 } ] }])

        //下面的查询中，数组的元素为内嵌文档，同样如此，数组元素第一个匹配的元素值被返回
        > db.students.find(
        ...    { "grades.mean": { $gt: 70 } },
        ...    { "grades.$": 1 }
        ... )
        { "_id" : 7, "grades" : [ { "grade" : 80, "mean" : 75, "std" : 8 } ] }
        { "_id" : 8, "grades" : [ { "grade" : 92, "mean" : 88, "std" : 8 } ] }