文章目录

  • 新增
    • 单个插入
    • 批量插入
  • 查询
    • 无条件查询
      • 测试
    • 条件查询
      • 条件对照表
      • 逻辑对照表
      • 测试
        • 查询标签为mongodb且收藏数大于等于50的book
      • 正则表达式查询
      • 排序
      • 分页
  • 更新
    • 操作符
      • 更新单个文档
      • 更新多个文档
      • upsert
      • replace
      • findAndModify
  • 删除

新增

单个插入

  • insert:若插入的数据主键已经存在,则会抛DuplicateKeyException异常,提示主键重复,不保存当前数据

    > db.createCollection("emps")
    { "ok" : 1 }
    > db.emps.insert({x:1})
    WriteResult({ "nInserted" : 1 })
    
  • save:如果 _id 主键存在则更新数据,如果不存在就插入数据

    > db.emps.save({x:2})
    WriteResult({ "nInserted" : 1 })
    
  • insertOne:支持writeConcern

    > db.emps.insertOne({x:3})
    {"acknowledged" : true,"insertedId" : ObjectId("628e468160e30920704dfeb0")
    }
    
    > db.emps.insertOne({x:4},{writeConcern:0})
    {"acknowledged" : true,"insertedId" : ObjectId("628e47da60e30920704dfeb2")
    }
    

    writeConcern决定一个写操作落到多少个节点上才算成功。

    writeConcern的取值包括:

    0:发起写操作,不关心是否成功;
    1~集群最大数据节点数:写操作需要被复制到指定节点数才算成功;
    majority:写操作需要被复制到大多数节点上才算成功;。

批量插入

  • insert

    > db.emps.insert([{x:5},{x:6}])
    BulkWriteResult({"writeErrors" : [ ],"writeConcernErrors" : [ ],"nInserted" : 2,"nUpserted" : 0,"nMatched" : 0,"nModified" : 0,"nRemoved" : 0,"upserted" : [ ]
    })
    
  • save

    > db.emps.save([{x:7},{x:8},{x:9}])
    BulkWriteResult({"writeErrors" : [ ],"writeConcernErrors" : [ ],"nInserted" : 3,"nUpserted" : 0,"nMatched" : 0,"nModified" : 0,"nRemoved" : 0,"upserted" : [ ]
    })
    
  • insertMany

    > db.emps.insertMany([{x:10},{x:11}])
    {"acknowledged" : true,"insertedIds" : [ObjectId("628e4962495e82d49b890573"),ObjectId("628e4962495e82d49b890574")]
    }
    
    > db.emps.insertMany([{x:12},{x:13}],{writeConcern:0})
    {"acknowledged" : true,"insertedIds" : [ObjectId("628e497d495e82d49b890575"),ObjectId("628e497d495e82d49b890576")]
    }
    
  • load(“xxx.js”)

    var tags = ["nosql","mongodb","document","developer","popular"];
    var types = ["technology","sociality","travel","novel","literature"];
    var books=[];
    for(var i=0;i<50;i++){var typeIdx = Math.floor(Math.random()*types.length);
    var tagIdx = Math.floor(Math.random()*tags.length);
    var favCount = Math.floor(Math.random()*100);
    var book = {title: "book-"+i,
    type: types[typeIdx],
    tag: tags[tagIdx],
    favCount: favCount,
    author: "xxx"+i
    };
    books.push(book)
    }
    db.books.insertMany(books);
    
    [root@VM-24-2-centos js]# vim book.js
    [root@VM-24-2-centos js]# mongo --port=27017
    MongoDB shell version v4.4.6
    connecting to: mongodb://127.0.0.1:27017/?compressors=disabled&gssapiServiceName=mongodb
    Implicit session: session { "id" : UUID("ecd09547-db6d-4d9e-a4d9-5a928a01127c") }
    MongoDB server version: 4.4.6
    > use appdb
    switched to db appdb
    > db.auth("app","app")
    1
    > db.createCollection("books")
    { "ok" : 1 }
    > load("book.js")
    true
    

查询

db.collection.find(query, projection)
  • query

    可选,使用查询操作符指定查询条件;

  • projection

    可选,使用投影操作符指定返回的键。查询时返回文档中所有键值, 只需省略该参 数即可(默认省略)。投影时,id为1的时候,其他字段必须是1;id是0的时候,其他字段可以是 0;如果没有_id字段约束,多个其他字段必须同为0或同为1;

无条件查询

如果查询返回的条目数量较多,mongo shell则会自动实现分批显示默认情况下每次只显示20条,可以输入it命令读取下一批。

测试

> db.books.find()
{ "_id" : ObjectId("628e4b78a8cff71722ae2779"), "title" : "book-0", "type" : "technology", "tag" : "popular", "favCount" : 64, "author" : "xxx0" }
{ "_id" : ObjectId("628e4b78a8cff71722ae277a"), "title" : "book-1", "type" : "sociality", "tag" : "document", "favCount" : 46, "author" : "xxx1" }
{ "_id" : ObjectId("628e4b78a8cff71722ae277b"), "title" : "book-2", "type" : "travel", "tag" : "document", "favCount" : 23, "author" : "xxx2" }
{ "_id" : ObjectId("628e4b78a8cff71722ae277c"), "title" : "book-3", "type" : "literature", "tag" : "developer", "favCount" : 33, "author" : "xxx3" }
{ "_id" : ObjectId("628e4b78a8cff71722ae277d"), "title" : "book-4", "type" : "travel", "tag" : "popular", "favCount" : 16, "author" : "xxx4" }
{ "_id" : ObjectId("628e4b78a8cff71722ae277e"), "title" : "book-5", "type" : "sociality", "tag" : "popular", "favCount" : 42, "author" : "xxx5" }
{ "_id" : ObjectId("628e4b78a8cff71722ae277f"), "title" : "book-6", "type" : "sociality", "tag" : "popular", "favCount" : 22, "author" : "xxx6" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2780"), "title" : "book-7", "type" : "literature", "tag" : "popular", "favCount" : 34, "author" : "xxx7" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2781"), "title" : "book-8", "type" : "literature", "tag" : "mongodb", "favCount" : 25, "author" : "xxx8" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2782"), "title" : "book-9", "type" : "novel", "tag" : "document", "favCount" : 59, "author" : "xxx9" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2783"), "title" : "book-10", "type" : "sociality", "tag" : "popular", "favCount" : 53, "author" : "xxx10" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2784"), "title" : "book-11", "type" : "sociality", "tag" : "developer", "favCount" : 59, "author" : "xxx11" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2785"), "title" : "book-12", "type" : "novel", "tag" : "developer", "favCount" : 67, "author" : "xxx12" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2786"), "title" : "book-13", "type" : "travel", "tag" : "document", "favCount" : 31, "author" : "xxx13" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2787"), "title" : "book-14", "type" : "literature", "tag" : "nosql", "favCount" : 49, "author" : "xxx14" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2788"), "title" : "book-15", "type" : "novel", "tag" : "mongodb", "favCount" : 66, "author" : "xxx15" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2789"), "title" : "book-16", "type" : "sociality", "tag" : "popular", "favCount" : 83, "author" : "xxx16" }
{ "_id" : ObjectId("628e4b78a8cff71722ae278a"), "title" : "book-17", "type" : "literature", "tag" : "nosql", "favCount" : 54, "author" : "xxx17" }
{ "_id" : ObjectId("628e4b78a8cff71722ae278b"), "title" : "book-18", "type" : "novel", "tag" : "nosql", "favCount" : 58, "author" : "xxx18" }
{ "_id" : ObjectId("628e4b78a8cff71722ae278c"), "title" : "book-19", "type" : "literature", "tag" : "developer", "favCount" : 68, "author" : "xxx19" }
Type "it" for more
> it
{ "_id" : ObjectId("628e4b78a8cff71722ae27a1"), "title" : "book-40", "type" : "technology", "tag" : "nosql", "favCount" : 9, "author" : "xxx40" }
{ "_id" : ObjectId("628e4b78a8cff71722ae27a2"), "title" : "book-41", "type" : "novel", "tag" : "document", "favCount" : 62, "author" : "xxx41" }
{ "_id" : ObjectId("628e4b78a8cff71722ae27a3"), "title" : "book-42", "type" : "sociality", "tag" : "popular", "favCount" : 21, "author" : "xxx42" }
{ "_id" : ObjectId("628e4b78a8cff71722ae27a4"), "title" : "book-43", "type" : "travel", "tag" : "developer", "favCount" : 83, "author" : "xxx43" }
{ "_id" : ObjectId("628e4b78a8cff71722ae27a5"), "title" : "book-44", "type" : "travel", "tag" : "mongodb", "favCount" : 10, "author" : "xxx44" }
{ "_id" : ObjectId("628e4b78a8cff71722ae27a6"), "title" : "book-45", "type" : "novel", "tag" : "mongodb", "favCount" : 66, "author" : "xxx45" }
{ "_id" : ObjectId("628e4b78a8cff71722ae27a7"), "title" : "book-46", "type" : "travel", "tag" : "nosql", "favCount" : 84, "author" : "xxx46" }
{ "_id" : ObjectId("628e4b78a8cff71722ae27a8"), "title" : "book-47", "type" : "travel", "tag" : "mongodb", "favCount" : 89, "author" : "xxx47" }
{ "_id" : ObjectId("628e4b78a8cff71722ae27a9"), "title" : "book-48", "type" : "novel", "tag" : "popular", "favCount" : 61, "author" : "xxx48" }
{ "_id" : ObjectId("628e4b78a8cff71722ae27aa"), "title" : "book-49", "type" : "sociality", "tag" : "developer", "favCount" : 77, "author" : "xxx49" }
> it
no cursor

条件查询

条件对照表

SQL MQL
a=1 {a:1}
a<>1 {a:{$ne:1}}
a>1 {a:{$gt:1}}
a>=1 {a:{$gte:1}}
a<1 {a:{$lt:1}}
a<=1 {a:{$lte:1}}

逻辑对照表

SQL MQL
a=1 and b=1 {a:1,b:1}或{$and:[{a:1},{b:1}]}
a=1 or b=1 {$or:[{a:1},{b:1}]}
a is null {a:{$exists:false}}
a in (1,2) {a:{$in:[{1,2}]}}
a not in (1,2) {a:{$nin:[{1,2}]}

测试

查询标签为mongodb且收藏数大于等于50的book
> db.books.find({$and:[{tag:"mongodb"},{favCount:{$gte:50}}]})
{ "_id" : ObjectId("628e4b78a8cff71722ae2788"), "title" : "book-15", "type" : "novel", "tag" : "mongodb", "favCount" : 66, "author" : "xxx15" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2797"), "title" : "book-30", "type" : "novel", "tag" : "mongodb", "favCount" : 78, "author" : "xxx30" }
{ "_id" : ObjectId("628e4b78a8cff71722ae27a6"), "title" : "book-45", "type" : "novel", "tag" : "mongodb", "favCount" : 66, "author" : "xxx45" }
{ "_id" : ObjectId("628e4b78a8cff71722ae27a8"), "title" : "book-47", "type" : "travel", "tag" : "mongodb", "favCount" : 89, "author" : "xxx47" }

正则表达式查询

//使用正则表达式查找tag包含no字符串的book
> db.books.find({tag:{$regex:"no"}})
{ "_id" : ObjectId("628e4b78a8cff71722ae2787"), "title" : "book-14", "type" : "literature", "tag" : "nosql", "favCount" : 49, "author" : "xxx14" }
{ "_id" : ObjectId("628e4b78a8cff71722ae278a"), "title" : "book-17", "type" : "literature", "tag" : "nosql", "favCount" : 54, "author" : "xxx17" }
{ "_id" : ObjectId("628e4b78a8cff71722ae278b"), "title" : "book-18", "type" : "novel", "tag" : "nosql", "favCount" : 58, "author" : "xxx18" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2791"), "title" : "book-24", "type" : "travel", "tag" : "nosql", "favCount" : 36, "author" : "xxx24" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2792"), "title" : "book-25", "type" : "travel", "tag" : "nosql", "favCount" : 80, "author" : "xxx25" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2794"), "title" : "book-27", "type" : "travel", "tag" : "nosql", "favCount" : 30, "author" : "xxx27" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2796"), "title" : "book-29", "type" : "travel", "tag" : "nosql", "favCount" : 20, "author" : "xxx29" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2798"), "title" : "book-31", "type" : "sociality", "tag" : "nosql", "favCount" : 50, "author" : "xxx31" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2799"), "title" : "book-32", "type" : "travel", "tag" : "nosql", "favCount" : 26, "author" : "xxx32" }
{ "_id" : ObjectId("628e4b78a8cff71722ae27a0"), "title" : "book-39", "type" : "novel", "tag" : "nosql", "favCount" : 90, "author" : "xxx39" }
{ "_id" : ObjectId("628e4b78a8cff71722ae27a1"), "title" : "book-40", "type" : "technology", "tag" : "nosql", "favCount" : 9, "author" : "xxx40" }
{ "_id" : ObjectId("628e4b78a8cff71722ae27a7"), "title" : "book-46", "type" : "travel", "tag" : "nosql", "favCount" : 84, "author" : "xxx46" }
>

排序

#指定按收藏数(favCount)升序返回
> db.books.find({tag:"nosql"}).sort({favCount:1})
{ "_id" : ObjectId("628e4b78a8cff71722ae27a1"), "title" : "book-40", "type" : "technology", "tag" : "nosql", "favCount" : 9, "author" : "xxx40" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2796"), "title" : "book-29", "type" : "travel", "tag" : "nosql", "favCount" : 20, "author" : "xxx29" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2799"), "title" : "book-32", "type" : "travel", "tag" : "nosql", "favCount" : 26, "author" : "xxx32" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2794"), "title" : "book-27", "type" : "travel", "tag" : "nosql", "favCount" : 30, "author" : "xxx27" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2791"), "title" : "book-24", "type" : "travel", "tag" : "nosql", "favCount" : 36, "author" : "xxx24" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2787"), "title" : "book-14", "type" : "literature", "tag" : "nosql", "favCount" : 49, "author" : "xxx14" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2798"), "title" : "book-31", "type" : "sociality", "tag" : "nosql", "favCount" : 50, "author" : "xxx31" }
{ "_id" : ObjectId("628e4b78a8cff71722ae278a"), "title" : "book-17", "type" : "literature", "tag" : "nosql", "favCount" : 54, "author" : "xxx17" }
{ "_id" : ObjectId("628e4b78a8cff71722ae278b"), "title" : "book-18", "type" : "novel", "tag" : "nosql", "favCount" : 58, "author" : "xxx18" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2792"), "title" : "book-25", "type" : "travel", "tag" : "nosql", "favCount" : 80, "author" : "xxx25" }
{ "_id" : ObjectId("628e4b78a8cff71722ae27a7"), "title" : "book-46", "type" : "travel", "tag" : "nosql", "favCount" : 84, "author" : "xxx46" }
{ "_id" : ObjectId("628e4b78a8cff71722ae27a0"), "title" : "book-39", "type" : "novel", "tag" : "nosql", "favCount" : 90, "author" : "xxx39" }
>

分页

> db.books.find().skip(8).limit(4)
{ "_id" : ObjectId("628e4b78a8cff71722ae2781"), "title" : "book-8", "type" : "literature", "tag" : "mongodb", "favCount" : 25, "author" : "xxx8" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2782"), "title" : "book-9", "type" : "novel", "tag" : "document", "favCount" : 59, "author" : "xxx9" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2783"), "title" : "book-10", "type" : "sociality", "tag" : "popular", "favCount" : 53, "author" : "xxx10" }
{ "_id" : ObjectId("628e4b78a8cff71722ae2784"), "title" : "book-11", "type" : "sociality", "tag" : "developer", "favCount" : 59, "author" : "xxx11" }
>

更新

db.collection.update(query,update,options)
  • query:描述更新的查询条件
  • update:描述更新的动作及新的内容
  • options:描述更新的选项
  • upsert: 可选,如果不存在update的记录,是否插入新的记录。默认false,不插入
  • multi: 可选,是否按条件查询出的多条记录全部更新。 默认false,只更新找到的第一条记录
  • writeConcern :可选,决定一个写操作落到多少个节点上才算成功

操作符

操作符 格式 描述
$set {$set:{field:value}} 指定一个键并更新值,若键不存在则创建
$unset {$unset : {field:1}} 删除一个键
$inc {$inc : {field:value}} 对数值类型进行增减
$rename {$rename : {old_field_name : new_field_name}} 修改字段名称
$push {$push : {field : value}} 将数值追加到数组中,若数组不存在则 会进行初始化
$pushAll {$pushAll : {field : value_array }} 追加多个值到一个数组字段内
$pull {$pull : {field : _value}} 从数组中删除指定的元素
$addToSet {$addToSet : {field : value } } 添加元素到数组中,具有排重功能
$pop {$pop : {field : 1 }} 删除数组的第一个或最后一个元素

更新单个文档

> db.books.update({tag:"nosql"},{$inc:{favCount:16}})
WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 })

更新多个文档

  • updateOne:更新单个文档
  • updateMany:更新多个文档
  • multi选项
  • replaceOne:替换单个文档
> db.books.update({tag:"nosql"},{$inc:{favCount:16}},{"multi":true})
WriteResult({ "nMatched" : 12, "nUpserted" : 0, "nModified" : 12 })

upsert

> db.books.update(
... {title:"my book"},
... {$set:{tags:["nosql","mongodb"],type:"none",author:"fox"}},
... {upsert:true}
... )
WriteResult({"nMatched" : 0,"nUpserted" : 1,"nModified" : 0,"_id" : ObjectId("628e5dde28c7689469c84ff9")
})
>

replace

> db.books.update(
... {title:"my book"},
... {justTitle:"my first book"}
... )
WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 })
>

findAndModify

该操作会返回符合查询条件的文档数据,并完成对文档的修改,但只能更新单个文档

//将某个book文档的收藏数(favCount)加1
db.books.findAndModify({query:{_id:ObjectId("61caa09ee0782536660494dd")},
update:{$inc:{favCount:1}}
})

删除

  • remove

    • 需要配合查询条件使用,符合查询条件的文档会被删除

    • 指定一个空文档条件会删除所有文档

    • db.user.remove({age:28})// 删除age 等于28的记录
      db.user.remove({age:{$lt:25}}) // 删除age 小于25的记录
      db.user.remove( { } ) // 删除所有记录
      db.user.remove() //报错
      
  • deleteOne

    • db.books.deleteOne ({ type:"novel" }) //删除 type等于novel 的一个文档
      
  • deleteMany

    • db.books.deleteMany ({ type:"novel" }) //删除 type等于 novel 的全部文档
      
    • db.books.deleteMany ({}) //删除集合下全部文档
      
  • 返回被删除文档

    • findOneAndDelete

    • > db.books.findOneAndDelete({type:"novel"})
      {"_id" : ObjectId("628e4b78a8cff71722ae2782"),"title" : "book-9","type" : "novel","tag" : "document","favCount" : 59,"author" : "xxx9"
      }
      >
      
    • findOneAndDelete命令还允许定义“删除的顺序”,即按照指定顺序删除找到的第一个文档;

      利用这个特性,findOneAndDelete可以实现队列的先进先出;

      db.books.findOneAndDelete({type:"novel"},{sort:{favCount:1}})
      

“628e4b78a8cff71722ae2782”),
“title” : “book-9”,
“type” : “novel”,
“tag” : “document”,
“favCount” : 59,
“author” : “xxx9”
}
>
```

  • findOneAndDelete命令还允许定义“删除的顺序”,即按照指定顺序删除找到的第一个文档;

    利用这个特性,findOneAndDelete可以实现队列的先进先出;

    db.books.findOneAndDelete({type:"novel"},{sort:{favCount:1}})
    

MongoDB——基础篇(文档操作)相关推荐

  1. elasticsearch 第五篇(文档操作接口)

    INDEX API 示例: 1 2 3 4 5 PUT /test/user/1 { "name": "silence", "age": 2 ...

  2. MongoDB入门学习(一)简介与基本操作、整合SpringBoot集合操作、整合SpringBoot文档操作

    文章目录 1. 简介 1.1 NoSQL和MongoDB 1.2 MongoDB特点 1.2.1 MongoDB 技术优势 1.2.2 Json 模型快速特性 1.3 MongoDB 应用场景 1.4 ...

  3. 在.NET Core中使用MongoDB明细教程(1):驱动基础及文档插入

    MongoDB,被归类为NoSQL数据库(其实我更觉得MongoDb是介于关系型数据库和非关系型数据库之间,此外,在我看来在很多场景中MongoDb都可以取代关系型数据库.),是一个以类JSON格式存 ...

  4. MongoDB——文档操作(更新文档)

    目录 一.更新文档命令的格式 二.更新操作符 三.更新单个文档 3.1.更新单个文档的示例 四.更新多个文档 4.1.更新多个文档的概述 4.2.更新多个文档的示例 五.使用upsert命令 5.1. ...

  5. mongodb文档操作1

    mongodb文档操作1 mongodb文档操作1 插入操作 1. 使用方法insert()分别插入以下文档到集合stu中. 2. 使用方法insertMany()插入以下一组文档到集合stu中. 删 ...

  6. 商城项目(六)整合Mongodb实现文档操作

    商城项目(六)整合Mongodb实现文档操作 整合Mongodb的过程,以实现商品浏览记录在Mongodb中的添加.删除.查询为例. 环境搭建 Mongodb Mongodb是为快速开发互联网Web应 ...

  7. elasticsearch实战三部曲之二:文档操作

    本文是<elasticsearch实战三部曲>系列的第二篇,上一篇文章我们动手熟悉了索引相关的基本操作,现在一起来熟悉文档相关的操作: 系列文章链接 <elasticsearch实战 ...

  8. 本篇文档介绍如何手动在ECS实例上部署Java web项目

    本篇文档介绍如何手动在ECS实例上部署Java web项目.适用于刚开始使用阿里云进行建站的个人用户. 项目配置 { .section} 本篇教程在示例步骤中使用了以下版本的软件.操作时,请您以实际软 ...

  9. mysql mongodb 事务_MySQL PK MongoDB:多文档事务支持,谁更友好?

    原标题:MySQL PK MongoDB:多文档事务支持,谁更友好? 作者介绍 贺春旸,凡普金科DBA团队负责人,<MySQL管理之道:性能调优.高可用与监控>第一.二版作者,曾任职于中国 ...

  10. Python3-word文档操作(八):提取word文档中的图片方式一-利用docx库

    1. 简介: 要获取word文档中的图片文件.思路就是先解压,再查找.python中,下面两个库都可以实现这个功能: (1)zip库 (2)docx库 zip库: 上一篇博文已经提过,word本质上也 ...

最新文章

  1. 免校准的电量计量芯片_万物互联,开启智慧计量新时代—2020年中国物联网计量创新发展论坛在济南举办...
  2. spring boot中修改默认端口号
  3. S3C6410驱动I80接口LCD
  4. PAI分布式机器学习平台编程模型演进之路
  5. 行业场景智能应用,解锁边缘计算时代新机遇
  6. Octave: 'rgb2gray' undefined error
  7. zabbix server监控项报警提示:“Zabbix discoverer processes 75% busy”
  8. html标签之常用标签
  9. 计算机网络 第一章 计算机网络体系结构
  10. 解决pytorch安装过程中下载总是出错的问题
  11. 使用cmake和vs2019进行编译libtorch过程
  12. python微信聊天机器人_Python搭建一个微信聊天机器人
  13. PS分形图、人脸更换、蒙版技巧分享
  14. Flir Blackfly S USB3 工业相机:白平衡设置方法
  15. req.getParameterValues 输出前端乱码
  16. 如何判断肖特基二极管的正负极
  17. 迷你云服务器怎么开,迷你世界迷你云服怎么开_迷你世界迷你云服打开方法_玩游戏网...
  18. matlab plotyy 属性如何调整,科学网—【Matlab】如何用plotyy对应坐标绘制多条曲线 - 叶瑞杰的博文...
  19. Kali-WIFI攻防(二)----无线网络分析工具Aircrack-ng
  20. 使用CSS去除 去掉超链接的下划线方法

热门文章

  1. 【基于机器学习/深度学习的睡眠信号分类】主题必读论文推荐
  2. mysql error 1213_webgame中Mysql Deadlock ERROR 1213 (40001)错误的排查历程
  3. android后台定时执行任务,后台执行的定时任务
  4. bigdecimal如何做除法_bigdecimal类型除法问题
  5. axure 侧滑抽屉式菜单_Axure教程:原型设计之侧滑菜单
  6. HDU 5857 Median(水~)
  7. 不谋一时不足以谋一域_请问不谋万世者不足谋一时,不谋全局者,不足谋一域,接下来是什么?这段话太精辟了,能不能把全文发送过来?...
  8. C语言如何作用于unity,在Unity 3D中使用C进行车轮转向#
  9. Arduino学习笔记—— 猜数字游戏
  10. vscode自动生成项目目录结构