数组相关操作 [1]¶
数组查询¶
// 查询字段是数组
db.time_info.find({"begin_time":{$size:1}})
// 方法2
db.time_info.find({ "begin_time.0": {$exists:1} })
// 数组大小是某个范围(要求数组大小小于3)
db.time_info.find({ $where: "this.begin_time.length < 3" })
//数组大小小于1，就意味着num[0]不存在
db.time_info.find({ "begin_time.0": {$exists:0} })
实战¶
数据插入:
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 }
]
}
]
)
数组元素模糊匹配:
//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" ] }
数组元素精确(全)匹配:
//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" ] }
通过数组下标返回指定的文档:
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" ] }
范围条件任意元素匹配查询:
//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 ] }
数组内嵌文档查询:
//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': { $lte: 55}}, {"_id":1,points:1})
{ "_id" : 3, "points" : [ { "points" : 81, "bonus" : 8 }, { "points" : 55, "bonus" : 20 } ] }
{ "_id" : 4, "points" : [ { "points" : 53, "bonus" : 15 }, { "points" : 51, "bonus" : 15 } ] }
数组元素操作符$elemMatch:
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 ] },
... { _id: 2, results: [ 75, 88, 89 ] }])
{ "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: { $lte: 70 }, bonus: 20}}},{"_id":1,points:1})
{ "_id" : 3, "points" : [ { "points" : 81, "bonus" : 8 }, { "points" : 55, "bonus" : 20 } ] }
数组元素操作符$all:
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({$and:[{badges:"blue"},{badges:"black"}]},{"_id":1,badges:1})
{ "_id" : 1, "badges" : [ "blue", "black" ] }
{ "_id" : 6, "badges" : [ "black", "blue" ] }
数组元素操作符$slice:
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."
}
]
}
$占位符，返回数组中第一个匹配的数组元素值(子集):
使用样式：
db.collection.find( { <array>: <value> ... },
{ "<array>.$": 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 } ] }