Mongodb 数据库的简单使用 _数据库

智慧并不产生于学历,而是来自对于知识的终生不懈的追求。这篇文章主要讲述Mongodb 数据库的简单使用相关的知识，希望能为你提供帮助。
一、数据库相关操作

1、创建数据库use 数据库名#切换到指定的数据库，当数据库不存在时，就表示创建这个数据库> use admin switched to db admin > db.auth("admin","123456")#用户账号和口令 1> show dbs admin0.000GB config0.000GB local0.000GB test0.000GB> use ceshi#创建数据库 switched to db ceshi> db#显示现在使用的是哪个数据库 ceshi> show dbs#数据库里面没有数据时，数据库查询时不显示 admin0.000GB config0.000GB local0.000GB test0.000GB我们向 ceshi 这个数据库里面增加一个集合，再看看查看的情形 > db.createCollection("class") "ok" : 1 > show dbs admin0.000GB ceshi0.000GB config0.000GB local0.000GB test0.000GB#此时数据库查询时，ceshi 这个数据库才会显示2、显示数据库show dbs 或者 show databases > show dbs admin0.000GB config0.000GB local0.000GB test0.000GB> show databases admin0.000GB config0.000GB local0.000GB test0.000GB3、数据库信息查看> use test switched to db test> db.stats()"db" : "test", "collections" : 1, "views" : 0, "objects" : 1, "avgObjSize" : 41, "dataSize" : 41, "storageSize" : 20480, "numExtents" : 0, "indexes" : 1, "indexSize" : 20480, "scaleFactor" : 1, "fsUsedSize" : 2687488000, "fsTotalSize" : 53135798272, "ok" : 14、删除数据库# 删除数据库必须先切换到数据库下，然后使用数据库的内置函数进行删除> use ceshi switched to db ceshi> db ceshi> db.dropDatabase() "dropped" : "ceshi", "ok" : 1 > show dbs admin0.000GB config0.000GB local0.000GB test0.000GB# 温馨提示： 1、不同角色看见的数据库数量是不一样的，普通用户只能看见自己的数据库 2、刚创建的数据库里面是没有数据的，此时查询时是无法看到的此数据库的

二、集合相关的操作

# Mongod 中的集合是一组文档的集，集合相当于关系型数据库中的表1、创建集合创建集合两种方式: 显式创建和隐式创建> db.createCollection("games")#显式创建 "ok" : 1 > db.info.insert("name":"tom")#隐式创建 WriteResult( "nInserted" : 1 )> show collections#查看 class games info2、查看集合 show collections 或者show tables> show collections class games info> show tables class games info3、删除集合使用数据库的内置函数进行删除> db.games.drop() true> show collections class info4、集合改名> db.info.renameCollection("test") "ok" : 1 > > show collections class test5、迁移集合#另外一种叫法：跨数据库重命名集合(当然也可以不换集合的名字) #注意：必须要有相关权限才能够操作，最直接的是切换到 admin 库下进行操作> show dbs admin0.000GB config0.000GB local0.000GB test0.000GB ceshi0.000GB> use test switched to db test> show collections class games test> use admin switched to db admin#迁移并更改集合名字 > db.runCommand(renameCollection:"test.games",to:"ceshi.gamestest",dropTarget:true) "ok" : 1 #迁移但是不更改集合名字 > db.runCommand(renameCollection:"test.test",to:"ceshi.test",dropTarget:true) "ok" : 1 > use ceshi switched to db ceshi> show collections gamestest info test> use test switched to db test> show collections class#说明：显示添加集合完整的语法格式为：db.createCollection( name ，options )name: 是指定还要创建的集合的名字 options：是一个可选项，具体有如下的选项 ( 一般情况下很少使用这个选项 ) capped：(可选项)，为 true 则创建的是固定集合(即制定大小的集合) 如果为 true 时，则必须指定下面 size 选项的大小当固定集合使用当到达最大值时，后面的文档自动覆盖签名的文档 size：(可选项)，限制集合空间的大小，默认没有限制。如果 capped 为 true ，则必须指定此字段 autoindexid： (可选项)，如果为 true ，自动中 _id 字段创建索引，默认是 true max：(可选项)，限制集合包含文档的最大数量，默认是没有限制

三、文档相关的操作

1、文档的创建#文档的创建两个内置函数来实现的 db.Collectionname.insert(Documentname) 、db.Collectionname.save(Documentname)1）insert 方法 db.Collectionname.insert()#可插入单条或者多条数据(批量插入) db.Collectionname.insertOne()#只能插入单条数据 db.Collectionname.insertMany()#只能插入多条数据insert函数的语法格式： db.collection.insert(Collectionname, writeConcern, ordered)Collectionname：表示可设置插入一条或多条文档 writeConcern：表示自定义写出错的级别，是一种出错捕捉机制 ordered：< boolean> 是可选的，默认为 true 。默认时在执行文档的有序插入，如果其中一个文档发生错误，MongoDB将返回而不处理数组中的其余文档为 false，则执行无序插入，若其中一个文档发生错误，则忽略错误，继续处理数组中的其余文档# 一般情况下都很少在插入时带上后面两个参数> db.info.find() "_id" : 90, "name" : "blue", "age" : 30 > db.info.insert(name:"itit", age:28)#insert 插入一条数据 WriteResult( "nInserted" : 1 )> db.info.find() "_id" : 90, "name" : "blue", "age" : 30 "_id" : ObjectId("622070fb801321c032895aa9"), "name" : "itit", "age" : 28 > db.info.insert([name:"zozo", age:25,name:"toto", age:100])#insert 插入多条数据 BulkWriteResult( "writeErrors" : [ ], "writeConcernErrors" : [ ], "nInserted" : 2, "nUpserted" : 0, "nMatched" : 0, "nModified" : 0, "nRemoved" : 0, "upserted" : [ ] )> db.info.find() "_id" : 90, "name" : "blue", "age" : 30 "_id" : ObjectId("622070fb801321c032895aa9"), "name" : "itit", "age" : 28 "_id" : ObjectId("622070e3801321c032895aa7"), "name" : "zozo", "age" : 25 "_id" : ObjectId("622070e3801321c032895aa8"), "name" : "toto", "age" : 100 > db.info.insertOne(name:"mike", age:33,name:"kiki", age:20)"acknowledged" : true, "insertedId" : ObjectId("61d7ed25426f10e36ad4a89e")> db.info.find()#可见 insertOne 一次插入多个数据的时候只有第一个生效 "_id" : 90, "name" : "blue", "age" : 30 "_id" : ObjectId("61d7ed25426f10e36ad4a89e"), "name" : "mike", "age" : 33 #相同语句连续插入两次 > db.info.insertOne(name:"coco", age:20)"acknowledged" : true, "insertedId" : ObjectId("622068f5801321c032895a9a")> db.info.insertOne(name:"coco", age:20)"acknowledged" : true, "insertedId" : ObjectId("62206900801321c032895a9b")> db.info.find() "_id" : 90, "name" : "blue", "age" : 30 "_id" : ObjectId("61d7ed25426f10e36ad4a89e"), "name" : "mike", "age" : 33 "_id" : ObjectId("622068f5801321c032895a9a"), "name" : "coco", "age" : 20 "_id" : ObjectId("62206900801321c032895a9b"), "name" : "coco", "age" : 20 #见上，同一条文档可以多从连续插入不会报错, 会发现 ObjectId是连续的#一次性插入多条数据 > db.info.insertMany([name:"yoyo", age:33,name:"bill", age:20])"acknowledged" : true, "insertedIds" : [ ObjectId("61d7ed50426f10e36ad4a8a0"), ObjectId("61d7ed50426f10e36ad4a8a1") ]> db.info.find() "_id" : 90, "name" : "blue", "age" : 30 "_id" : ObjectId("61d7eced426f10e36ad4a89d"), "name" : "kiki", "age" : 20 "_id" : ObjectId("622068f5801321c032895a9a"), "name" : "coco", "age" : 20 "_id" : ObjectId("62206900801321c032895a9b"), "name" : "coco", "age" : 20 "_id" : ObjectId("61d7ed50426f10e36ad4a8a0"), "name" : "yoyo", "age" : 33 "_id" : ObjectId("61d7ed50426f10e36ad4a8a1"), "name" : "bill", "age" : 20 2）save 方法db.Collectionname.save()###可插入单条或者多条数据(批量插入)，具体看写多少条文档#单个插入，插入一个文档 > db.info.save(name:"rose", age:22) WriteResult( "nInserted" : 1 )> db.info.find() "_id" : ObjectId("61d7b15b426f10e36ad4a885"), "name" : "rose", "age" : 22 > db.info.save(_id:80,name:"tom", age:35) WriteResult( "nMatched" : 0, "nUpserted" : 1, "nModified" : 0, "_id" : 80 )> db.info.find() "_id" : ObjectId("61d7b15b426f10e36ad4a885"), "name" : "rose", "age" : 22 "_id" : 80, "name" : "tom", "age" : 35 #再次插入指定 _id ，发现此 _id 已经存在，如果内容不一样，此时就是更新文档数据了 > db.info.save(_id:80,name:"tom", age:40) WriteResult( "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 )> db.info.find() "_id" : ObjectId("61d7b15b426f10e36ad4a885"), "name" : "rose", "age" : 22 "_id" : 80, "name" : "tom", "age" : 40 #批量插入，多个文档> db.class.find() "_id" : ObjectId("61dd25b187f250afc6d4f3e2"), "name" : "zhangsan" "_id" : ObjectId("61de533957216ed19d04e4af"), "name" : "rose", "age" : 22 > db.class.save([name:"tim", age:40,name:"jack",age:35]) BulkWriteResult( "writeErrors" : [ ], "writeConcernErrors" : [ ], "nInserted" : 2, "nUpserted" : 0, "nMatched" : 0, "nModified" : 0, "nRemoved" : 0, "upserted" : [ ] )> db.class.find() "_id" : ObjectId("61dd25b187f250afc6d4f3e2"), "name" : "zhangsan" "_id" : ObjectId("61de533957216ed19d04e4af"), "name" : "rose", "age" : 22 "_id" : ObjectId("61de543e57216ed19d04e4b3"), "name" : "tim", "age" : 40 "_id" : ObjectId("61de543e57216ed19d04e4b4"), "name" : "jack", "age" : 35 2、文档的更新db.Collectionname.update()#只更新匹配到的第一个文档，不建议使用这此种形式写法 db.Collectionname.updateOne()#只能更新单条文档 db.Collectionname.updateMany()#多条文档全部更新> db.info.find() "_id" : ObjectId("61d7ea55426f10e36ad4a896"), "name" : "coco", "age" : 40 "_id" : ObjectId("61d7ea5a426f10e36ad4a897"), "name" : "coco", "age" : 60 "_id" : ObjectId("61d7ea62426f10e36ad4a898"), "name" : "coco", "age" : 30 "_id" : 13, "name" : "coco", "age" : 39 "_id" : 15, "name" : "coco", "age" : 39 > db.info.updateOne(name:"coco",$set:age:10) "acknowledged" : true, "matchedCount" : 1, "modifiedCount" : 1 > db.info.find()# 只更改了第一行的coco10 "_id" : ObjectId("61d7ea55426f10e36ad4a896"), "name" : "coco", "age" : 10 "_id" : ObjectId("61d7ea5a426f10e36ad4a897"), "name" : "coco", "age" : 60 "_id" : ObjectId("61d7ea62426f10e36ad4a898"), "name" : "coco", "age" : 30 "_id" : 13, "name" : "coco", "age" : 39 "_id" : 15, "name" : "coco", "age" : 39 > db.info.updateOne(name:"coco",$set:age:10) "acknowledged" : true, "matchedCount" : 1, "modifiedCount" : 0 > db.info.updateOne(name:"coco",$set:age:10) WriteResult( "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 )> db.info.find()#上面再次执行多少次都不会报错，但是也不会更改，检测到 age 是 10 了 "_id" : ObjectId("61d7ea55426f10e36ad4a896"), "name" : "coco", "age" : 10 "_id" : ObjectId("61d7ea5a426f10e36ad4a897"), "name" : "coco", "age" : 60 "_id" : ObjectId("61d7ea62426f10e36ad4a898"), "name" : "coco", "age" : 30 "_id" : 13, "name" : "coco", "age" : 39 "_id" : 15, "name" : "coco", "age" : 39 > db.info.updateMany(name:"coco",$set:age:10) "acknowledged" : true, "matchedCount" : 5, "modifiedCount" : 4 > db.info.find()#全部更改了 "_id" : ObjectId("61d7ea55426f10e36ad4a896"), "name" : "coco", "age" : 10 "_id" : ObjectId("61d7ea5a426f10e36ad4a897"), "name" : "coco", "age" : 10 "_id" : ObjectId("61d7ea62426f10e36ad4a898"), "name" : "coco", "age" : 10 "_id" : 13, "name" : "coco", "age" : 10 "_id" : 15, "name" : "coco", "age" : 10 3、文档删除db.Collectionname.deleteOne()#只能删除单条文档 db.Collectionname.deleteMany()#多条文档一起删除 db.Collectionname.remove()#删除单条(指定删除或者匹配删除)、删除多条(匹配删除)# 1）deleteOne 和deleteMany 方法> db.class.find() "_id" : 13, "name" : "coco", "age" : 39 "_id" : ObjectId("61dd25b187f250afc6d4f3e2"), "name" : "zhangsan" "_id" : ObjectId("61de53da57216ed19d04e4b1"), "name" : "kite", "age" : 20 "_id" : ObjectId("61de6a0e4f8fa3f11da6cd85"), "name" : "ggg", "age" : 20 "_id" : ObjectId("61de68364f8fa3f11da6cd42"), "name" : "bob", "age" : 30 "_id" : ObjectId("61de6bcff2cb355cb7a46a15"), "name" : "rose", "age" : 60 "_id" : ObjectId("61de6bd0f2cb355cb7a46a16"), "name" : "rose", "age" : 60 "_id" : ObjectId("61de6bd1f2cb355cb7a46a17"), "name" : "rose", "age" : 60 #指定 _id 删除 > db.class.deleteOne(_id:13) "acknowledged" : true, "deletedCount" : 1 > db.class.deleteOne(_id:ObjectId("61de6a0e4f8fa3f11da6cd85")) "acknowledged" : true, "deletedCount" : 1 > db.class.find() "_id" : ObjectId("61dd25b187f250afc6d4f3e2"), "name" : "zhangsan" "_id" : ObjectId("61de53da57216ed19d04e4b1"), "name" : "kite", "age" : 20 "_id" : ObjectId("61de68364f8fa3f11da6cd42"), "name" : "bob", "age" : 30 "_id" : ObjectId("61de6bcff2cb355cb7a46a15"), "name" : "rose", "age" : 60 "_id" : ObjectId("61de6bd0f2cb355cb7a46a16"), "name" : "rose", "age" : 60 "_id" : ObjectId("61de6bd1f2cb355cb7a46a17"), "name" : "rose", "age" : 60 #删除符合条件的第一个文档 > db.class.deleteOne("name":"rose") "acknowledged" : true, "deletedCount" : 1 > db.class.find() "_id" : ObjectId("61dd25b187f250afc6d4f3e2"), "name" : "zhangsan" "_id" : ObjectId("61de53da57216ed19d04e4b1"), "name" : "kite", "age" : 20 "_id" : ObjectId("61de68364f8fa3f11da6cd42"), "name" : "bob", "age" : 30 "_id" : ObjectId("61de6bd0f2cb355cb7a46a16"), "name" : "rose", "age" : 60 "_id" : ObjectId("61de6bd1f2cb355cb7a46a17"), "name" : "rose", "age" : 60 #删除符合条件的所有文档 > db.class.deleteMany("name":"rose") "acknowledged" : true, "deletedCount" : 2 > db.class.find() "_id" : ObjectId("61dd25b187f250afc6d4f3e2"), "name" : "zhangsan" "_id" : ObjectId("61de53da57216ed19d04e4b1"), "name" : "kite", "age" : 20 "_id" : ObjectId("61de68364f8fa3f11da6cd42"), "name" : "bob", "age" : 30#2） remove 方法> db.info.find() "_id" : 80, "name" : "mike", "age" : 30 "_id" : ObjectId("61d7a122426f10e36ad4a87d"), "name" : "jack", "age" : 20 "_id" : ObjectId("61d7a3c3426f10e36ad4a87e"), "name" : "bob", "age" : 16 "_id" : ObjectId("61d7a484426f10e36ad4a880"), "name" : "jane", "age" : 26 "_id" : ObjectId("61d7a484426f10e36ad4a881"), "name" : "kite", "age" : 21 "_id" : ObjectId("61d7a4c9426f10e36ad4a883"), "name" : "jane", "age" : 29 "_id" : ObjectId("61d7a4c9426f10e36ad4a884"), "name" : "kite", "age" : 21 "_id" : ObjectId("61d7a4c9426f10e36ad4a885"), "name" : "kite", "age" : 21 > db.info.remove(_id:80) WriteResult( "nRemoved" : 1 )> db.info.remove(_id : ObjectId("61d7a122426f10e36ad4a87d")) WriteResult( "nRemoved" : 1 )> db.info.find() "_id" : ObjectId("61d7a3c3426f10e36ad4a87e"), "name" : "bob", "age" : 16 "_id" : ObjectId("61d7a484426f10e36ad4a880"), "name" : "jane", "age" : 26 "_id" : ObjectId("61d7a484426f10e36ad4a881"), "name" : "kite", "age" : 21 "_id" : ObjectId("61d7a4c9426f10e36ad4a883"), "name" : "jane", "age" : 29 "_id" : ObjectId("61d7a4c9426f10e36ad4a884"), "name" : "kite", "age" : 21 "_id" : ObjectId("61d7a4c9426f10e36ad4a885"), "name" : "kite", "age" : 21 > db.info.remove(name:"jane",age:26) WriteResult( "nRemoved" : 1 )> db.info.find() "_id" : ObjectId("61d7a3c3426f10e36ad4a87e"), "name" : "bob", "age" : 16 "_id" : ObjectId("61d7a484426f10e36ad4a881"), "name" : "kite", "age" : 21 "_id" : ObjectId("61d7a4c9426f10e36ad4a883"), "name" : "jane", "age" : 29 "_id" : ObjectId("61d7a4c9426f10e36ad4a884"), "name" : "kite", "age" : 21 "_id" : ObjectId("61d7a4c9426f10e36ad4a885"), "name" : "kite", "age" : 21 > db.info.remove(name:"kite",age:21) WriteResult( "nRemoved" : 3 )### 条件匹配到了就都删除了，不关心 _id 号> db.info.find() "_id" : ObjectId("61d7a3c3426f10e36ad4a87e"), "name" : "bob", "age" : 16 "_id" : ObjectId("61d7a4c9426f10e36ad4a883"), "name" : "jane", "age" : 29 4、文档查询(这里指说明简单查询，复杂的查询中第二法部分)1）全部查询文档查询语法格式： db.Collectionname.find() > db.fruit.find() "_id" : ObjectId("61de7780f2cb355cb7a46a1c"), "name" : "apple", "price" : 8.5 "_id" : ObjectId("61de77a1f2cb355cb7a46a1d"), "name" : "banana", "price" : 3.5 "_id" : 80, "name" : "orange", "price" : 6.5 "_id" : 70, "name" : "pear", "price" : 6.8 "_id" : ObjectId("61de786ef2cb355cb7a46a1f"), "name" : "peach", "price" : 11.5 "_id" : ObjectId("61de78d9f2cb355cb7a46a20"), "name" : "grapes", "price" : 11.5 "_id" : ObjectId("61de7931f2cb355cb7a46a22"), "name" : "plum", "price" : 5.5 #转化一种输出方式，以格式化的形式输出信息 > db.fruit.find().pretty()"_id" : ObjectId("61de7780f2cb355cb7a46a1c"), "name" : "apple", "price" : 8.5"_id" : ObjectId("61de77a1f2cb355cb7a46a1d"), "name" : "banana", "price" : 3.5"_id" : 80, "name" : "orange", "price" : 6.5 "_id" : 70, "name" : "pear", "price" : 6.8 "_id" : ObjectId("61de786ef2cb355cb7a46a1f"), "name" : "peach", "price" : 11.5"_id" : ObjectId("61de78d9f2cb355cb7a46a20"), "name" : "grapes", "price" : 11.5"_id" : ObjectId("61de7931f2cb355cb7a46a22"), "name" : "plum", "price" : 5.52）指定条件查询 > db.fruit.find(_id:80) "_id" : 80, "name" : "orange", "price" : 6.5 > db.fruit.find(_id:ObjectId("61de786ef2cb355cb7a46a1f")) "_id" : ObjectId("61de786ef2cb355cb7a46a1f"), "name" : "peach", "price" : 11.5 > db.fruit.find("name":"apple") "_id" : ObjectId("61de7780f2cb355cb7a46a1c"), "name" : "apple", "price" : 8.5

四、关于 Insert 、Update 的使用说明

【Mongodb 数据库的简单使用】Mongodb 3.2 版本以前是没有 insertOne、insertMany、updateOne、updateMany 这种使用方法的，只有 Insert 、Update 的方法
关于 Insert 方法上面有具体介绍过的，下面就 3.2 版本之前的 Update 的语法作一个说明

#Update函数的语法格式 db.collection.update(query,obj,upsert,multi) query：查询条件 obj：update对象和一些更新操作符 upsert：如果不存在update的记录，是否插入objNew这个新的文档，true为插入，默认为false，不插入。 multi：默认是false，只更新找到的第一条记录。如果为true，把按条件查询出来的记录全部更新。###分下面几种情况：1、条件匹配到第三个字段是 false ，即为默认状态，这时候第四个字段有两种情况 1）x=a,x,false,false匹配到的第一个 x=a 那条文档内容 2）x=a,x,false,true匹配到的所有 x=a 所有文档内容2、条件没匹配到第三个字段是 true ，这个时候分四种情况： 1） x=a,x,true,false没有匹配到 x=a ，执行插入，这里是添加文档 x=a,x,true,true没有匹配到 x=a ，执行插入，这里是添加文档 2） x=a,x,true,flase匹配到 x=a ，执行更改，只更改匹配到的第一个文档内容 x=a,x,true,true匹配到 x=a ，执行更改，更改匹配到的全部文档的内容#使用示例 > db.info.find() "_id" : ObjectId("61d7b15b426f10e36ad4a885"), "name" : "rose", "age" : 22 "_id" : ObjectId("61d7b1a9426f10e36ad4a886"), "name" : "rose", "age" : 22 #默认情况下修改了匹配到的第一个 > db.info.update("name":"rose",$set:"age":40) WriteResult( "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 )> db.info.update("name":"rose",$set:"age":40,false,false)#效果同上，默认情况下upsert 、multi都是false的 > db.info.find() "_id" : ObjectId("61d7b15b426f10e36ad4a885"), "name" : "rose", "age" : 40 "_id" : ObjectId("61d7b1a9426f10e36ad4a886"), "name" : "rose", "age" : 22 > db.info.insert("name":"rose","age":22) WriteResult( "nInserted" : 1 )> db.info.find() "_id" : ObjectId("61d7b15b426f10e36ad4a885"), "name" : "rose", "age" : 40 "_id" : ObjectId("61d7b1a9426f10e36ad4a886"), "name" : "rose", "age" : 22 "_id" : ObjectId("61d7bc4f426f10e36ad4a888"), "name" : "rose", "age" : 22 > db.info.insert("name":"rose") WriteResult( "nInserted" : 1 ) > db.info.find() "_id" : ObjectId("61d7b15b426f10e36ad4a885"), "name" : "rose", "age" : 40 "_id" : ObjectId("61d7b1a9426f10e36ad4a886"), "name" : "rose", "age" : 22 "_id" : ObjectId("61d7bc30426f10e36ad4a887"), "name" : "rose", "age" : 22 "_id" : ObjectId("61d7caf9426f10e36ad4a889"), "name" : "rose" #全部修改 > db.info.update("name":"rose",$set:"age":40,false,true) WriteResult( "nMatched" : 4, "nUpserted" : 0, "nModified" : 4 )> db.info.find() "_id" : ObjectId("61d7b15b426f10e36ad4a885"), "name" : "rose", "age" : 40 "_id" : ObjectId("61d7b1a9426f10e36ad4a886"), "name" : "rose", "age" : 40 "_id" : ObjectId("61d7bc30426f10e36ad4a887"), "name" : "rose", "age" : 40 "_id" : ObjectId("61d7caf9426f10e36ad4a889"), "name" : "rose", "age" : 40 #第三个字段是 true 时，分两种大情况四种具体情况#没匹配到的情况> db.info.update("name":"jack",$set:"age":50,true,false) WriteResult( "nMatched" : 0, "nUpserted" : 1, "nModified" : 0, "_id" : ObjectId("61d7d0e0b3e595522b7bd153") )> db.info.find() "_id" : ObjectId("61d7b15b426f10e36ad4a885"), "name" : "rose", "age" : 40 "_id" : ObjectId("61d7b1a9426f10e36ad4a886"), "name" : "rose", "age" : 40 "_id" : ObjectId("61d7bc30426f10e36ad4a887"), "name" : "rose", "age" : 40 "_id" : ObjectId("61d7caf9426f10e36ad4a889"), "name" : "rose", "age" : 40 "_id" : ObjectId("61d7d0e0b3e595522b7bd153"), "name" : "jack", "age" : 50 > db.info.update("name":"mike",$set:"age":50,true,true) WriteResult( "nMatched" : 1, "nUpserted" : 0, "nModified" : 0 )> db.info.find() "_id" : ObjectId("61d7b15b426f10e36ad4a885"), "name" : "rose", "age" : 40 "_id" : ObjectId("61d7b1a9426f10e36ad4a886"), "name" : "rose", "age" : 40 "_id" : ObjectId("61d7bc30426f10e36ad4a887"), "name" : "rose", "age" : 40 "_id" : ObjectId("61d7caf9426f10e36ad4a889"), "name" : "rose", "age" : 40 "_id" : ObjectId("61d7d0e0b3e595522b7bd153"), "name" : "jack", "age" : 50 "_id" : ObjectId("61d7d0es3e5sd22b7bd4a153"), "name" : "mike", "age" : 50 # 匹配到的情况> db.info.update("name":"rose",$set:"age":99,true,true) WriteResult( "nMatched" : 5, "nUpserted" : 0, "nModified" : 5 )> db.info.find() "_id" : ObjectId("61d7b15b426f10e36ad4a885"), "name" : "rose", "age" : 99 "_id" : ObjectId("61d7b1a9426f10e36ad4a886"), "name" : "rose", "age" : 99 "_id" : ObjectId("61d7bc30426f10e36ad4a887"), "name" : "rose", "age" : 99 "_id" : ObjectId("61d7bc4f426f10e36ad4a888"), "name" : "rose", "age" : 99 "_id" : ObjectId("61d7caf9426f10e36ad4a889"), "name" : "rose", "age" : 99 > db.info.update("name":"rose",$set:"age":60,true,false) WriteResult( "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 )> db.info.find() "_id" : ObjectId("61d7b15b426f10e36ad4a885"), "name" : "rose", "age" : 60 "_id" : ObjectId("61d7b1a9426f10e36ad4a886"), "name" : "rose", "age" : 99 "_id" : ObjectId("61d7bc30426f10e36ad4a887"), "name" : "rose", "age" : 99 "_id" : ObjectId("61d7bc4f426f10e36ad4a888"), "name" : "rose", "age" : 99 "_id" : ObjectId("61d7caf9426f10e36ad4a889"), "name" : "rose", "age" : 99