MongoDB 3.2 在CentOS 上的安装和配置

MongoDB 3.2 在CentOS 上的安装和配置

  2016-01-06 14:41:41 发布

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一、安装

编辑/etc/yum.repos.d/mongodb-org-3.2.repo

[mongodb-org-3.2]
name=MongoDB Repository
baseurl=https://repo.mongodb.org/yum/redhat/$releasever/mongodb-org/3.2/x86_64/
gpgcheck=0
enabled=1

yum install -y mongodb-org

二、配置

编辑/etc/mongod.conf

# mongod.conf
# for documentation of all options, see:
#   http://docs.mongodb.org/manual/reference/configuration-options/
# where to write logging data.
systemLog:
  destination: file
  logAppend: true
  path: /var/log/mongodb/mongod.log
# Where and how to store data.
storage:
  dbPath: /data/mongo
  journal:
    enabled: true
#  engine:
#  mmapv1:
#  wiredTiger:
# how the process runs
processManagement:
  fork: true  # fork and run in background
  pidFilePath: /var/run/mongodb/mongod.pid  # location of pidfile
# network interfaces
net:
  port: 27017
  bindIp: 127.0.0.1,<内网IP> # Listen to local interface only, comment to listen on all interfaces.注意不要逗号前后不要有空格
#security:
#operationProfiling:
#replication:
#sharding:
## Enterprise-Only Options
#auditLog:

执行

echo never > /sys/kernel/mm/redhat_transparent_hugepage/enabled
echo never > /sys/kernel/mm/transparent_hugepage/defrag

编辑/etc/rc.local，添加

echo never > /sys/kernel/mm/redhat_transparent_hugepage/enabled
echo never > /sys/kernel/mm/transparent_hugepage/defrag

编辑vi /etc/security/limits.d/99-mongodb-nproc.conf

# Default limit for number of user's processes to prevent
# accidental fork bombs.
# See rhbz #432903 for reasoning.
*          soft    nproc     35000
root       soft    nproc     unlimited

三、防火墙

iptables -I INPUT 10 -s <允许ip> -p tcp --destination-port 27017 -m state --state NEW,ESTABLISHED -j ACCEPT
iptables -A OUTPUT -d <允许ip> -p tcp --source-port 27017 -m state --state ESTABLISHED -j ACCEPT

启动mongodb并进行简单的操作

 2.service mongod start                     #启动mongodb 服务

3.进入mongodb

MongoDB数据表基本操作

 

查看全部数据表

> use ChatRoom
switched to db ChatRoom
> show collections
Account
Chat
system.indexes
system.users

创建数据表

> db.createCollection("Account")
{"ok":1}

> db.createCollection("Test",{capped:true, size:10000}) { "ok" : 1 }

{"ok":1}

-- 说明

capped:true，表示该集合的结构不能被修改；

size:在建表之初就指定一定的空间大小，接下来的插入操作会不断地按顺序APPEND数据在这个预分配好空间的文件中，如果已经超出空间大小，则回到文件头覆盖原来的数据继续插入。这种结构保证了插入和查询的高效性，它不允许删除单个记录，更新的也有限制：不能超过原有记录的大小。这种表效率很高，它适用于一些暂时保存数据的场合，比如网站中登录用户的session信息，又比如一些程序的监控日志，都是属于过了一定的时间就可以被覆盖的数据。

修改数据表名

> db.Account.renameCollection("Account1")
{ "ok" : 1 }

数据表帮助主题help

> db.Account.help()
DBCollection help
        db.Account.find().help() - show DBCursor help
        db.Account.count()
        db.Account.dataSize()
        db.Account.distinct( key ) - eg. db.Account.distinct( 'x' )
        db.Account.drop() drop the collection
        db.Account.dropIndex(name)
        db.Account.dropIndexes()
        db.Account.ensureIndex(keypattern[,options]) - options is an object with these possible fields: name, unique, dropDups
        db.Account.reIndex()
        db.Account.find([query],[fields]) - query is an optional query filter. fields is optional set of fields to return.
                                                      e.g. db.Account.find( {x:77} , {name:1, x:1} )
        db.Account.find(...).count()
        db.Account.find(...).limit(n)
        db.Account.find(...).skip(n)
        db.Account.find(...).sort(...)
        db.Account.findOne([query])
        db.Account.findAndModify( { update : ... , remove : bool [, query: {}, sort: {}, 'new': false] } )
        db.Account.getDB() get DB object associated with collection
        db.Account.getIndexes()
        db.Account.group( { key : ..., initial: ..., reduce : ...[, cond: ...] } )
        db.Account.mapReduce( mapFunction , reduceFunction , <optional params> )
        db.Account.remove(query)
        db.Account.renameCollection( newName , <dropTarget> ) renames the collection.
        db.Account.runCommand( name , <options> ) runs a db command with the given name where the first param is the collection name
        db.Account.save(obj)
        db.Account.stats()
        db.Account.storageSize() - includes free space allocated to this collection
        db.Account.totalIndexSize() - size in bytes of all the indexes
        db.Account.totalSize() - storage allocated for all data and indexes
        db.Account.update(query, object[, upsert_bool, multi_bool])
        db.Account.validate() - SLOW
        db.Account.getShardVersion() - only for use with sharding

查看全部表记录

> db.Account.find()
{ "_id" : ObjectId("4df08553188e444d001a763a"), "AccountID" : 1, "UserName" : "libing", "Password" : "1", "Age" : 26, "Email" : "libing@126.com", "RegisterDate" : "2011-06-09 16:31:25" }
{ "_id" : ObjectId("4df08586188e444d001a763b"), "AccountID" : 2, "UserName" : "lb", "Password" : "1", "Age" : 25, "Email" : "libing@163.com", "RegisterDate" : "2011-06-09 16:36:95" }

--SELECT * FROM Account

说明：

默认每页显示20条记录，当显示不下的情况下，可以用it迭代命令查询下一页数据。
可以通过DBQuery.shellBatchSize设置每页显示数据的大小。如：DBQuery.shellBatchSize = 5，这样每页就显示5条记录了。

> db.Test.find()
{ "_id" : ObjectId("4df6d55407444568af61cfea"), "TestID" : 1 }
{ "_id" : ObjectId("4df6d55907444568af61cfeb"), "TestID" : 2 }
{ "_id" : ObjectId("4df6d55b07444568af61cfec"), "TestID" : 3 }
{ "_id" : ObjectId("4df6d55e07444568af61cfed"), "TestID" : 4 }
{ "_id" : ObjectId("4df6d56207444568af61cfee"), "TestID" : 5 }
{ "_id" : ObjectId("4df6d56507444568af61cfef"), "TestID" : 6 }
{ "_id" : ObjectId("4df6d56807444568af61cff0"), "TestID" : 7 }
{ "_id" : ObjectId("4df6d56b07444568af61cff1"), "TestID" : 8 }
{ "_id" : ObjectId("4df6d56e07444568af61cff2"), "TestID" : 9 }
{ "_id" : ObjectId("4df6d57a07444568af61cff3"), "TestID" : 10 }
{ "_id" : ObjectId("4df6d57d07444568af61cff4"), "TestID" : 11 }
{ "_id" : ObjectId("4df6d58007444568af61cff5"), "TestID" : 12 }
{ "_id" : ObjectId("4df6d58307444568af61cff6"), "TestID" : 13 }
{ "_id" : ObjectId("4df6d58e07444568af61cff7"), "TestID" : 14 }
{ "_id" : ObjectId("4df6d59207444568af61cff8"), "TestID" : 15 }
{ "_id" : ObjectId("4df6d59607444568af61cff9"), "TestID" : 16 }
{ "_id" : ObjectId("4df6d59c07444568af61cffa"), "TestID" : 17 }
{ "_id" : ObjectId("4df6d5a307444568af61cffb"), "TestID" : 18 }
{ "_id" : ObjectId("4df6d5a607444568af61cffc"), "TestID" : 19 }
> DBQuery.shellBatchSize
20
> DBQuery.shellBatchSize = 5
5
> db.Test.find()
{ "_id" : ObjectId("4df6d55407444568af61cfea"), "TestID" : 1 }
{ "_id" : ObjectId("4df6d55907444568af61cfeb"), "TestID" : 2 }
{ "_id" : ObjectId("4df6d55b07444568af61cfec"), "TestID" : 3 }
{ "_id" : ObjectId("4df6d55e07444568af61cfed"), "TestID" : 4 }
{ "_id" : ObjectId("4df6d56207444568af61cfee"), "TestID" : 5 }
has more
> it
{ "_id" : ObjectId("4df6d56507444568af61cfef"), "TestID" : 6 }
{ "_id" : ObjectId("4df6d56807444568af61cff0"), "TestID" : 7 }
{ "_id" : ObjectId("4df6d56b07444568af61cff1"), "TestID" : 8 }
{ "_id" : ObjectId("4df6d56e07444568af61cff2"), "TestID" : 9 }
{ "_id" : ObjectId("4df6d57a07444568af61cff3"), "TestID" : 10 }
has more
> it
{ "_id" : ObjectId("4df6d57d07444568af61cff4"), "TestID" : 11 }
{ "_id" : ObjectId("4df6d58007444568af61cff5"), "TestID" : 12 }
{ "_id" : ObjectId("4df6d58307444568af61cff6"), "TestID" : 13 }
{ "_id" : ObjectId("4df6d58e07444568af61cff7"), "TestID" : 14 }
{ "_id" : ObjectId("4df6d59207444568af61cff8"), "TestID" : 15 }
has more
> it
{ "_id" : ObjectId("4df6d59607444568af61cff9"), "TestID" : 16 }
{ "_id" : ObjectId("4df6d59c07444568af61cffa"), "TestID" : 17 }
{ "_id" : ObjectId("4df6d5a307444568af61cffb"), "TestID" : 18 }
{ "_id" : ObjectId("4df6d5a607444568af61cffc"), "TestID" : 19 }
> it
no cursor

查询一条记录

> db.Account.findOne()
{
        "_id" : ObjectId("4ded95c3b7780a774a099b7c"),
        "UserName" : "libing",
        "Password" : "1",
        "Email" : "libing@126.cn",
        "RegisterDate" : "2011-06-07 11:06:25"
}

--SELECT TOP 1 * FROM Account

 查询聚集中字段的不同记录

> db.Account.distinct("UserName")

--SELECT DISTINCT("UserName")  FROM Account

 查询聚集中UserName包含“keyword”关键字的记录

db.Account.find({"UserName":/keyword/})

 --SELECT * FROM Account WHERE UserName LIKE '%keyword%'

查询聚集中UserName以"keyword" 开头的记录

> db.Account.find({"UserName":/^keyword/})

--SELECT * FROM Account WHERE UserName LIKE 'keyword%'

查询聚集中UserName以“keyword”结尾的记录

> db.Account.find({"UserName":/keyword$/})

--SELECT * FROM Account WHERE UserName LIKE '%keyword' 

查询聚集中指定列

> db.Account.find({},{"UserName":1,"Email":1})    --1:true

--SELECT UserName,Email FROM Account

 查询聚集中排除指定列

> db.Account.find({},{"UserName":0})    --0:false

查询聚集中指定列，且Age > 20

> db.Account.find({"Age":{"$gt":20}},{"UserName":1,"Email":1})

--SELECT UserName,Email FROM Account WHERE Age > 20 

聚集中字段排序 

> db.Account.find().sort({"UserName":1}) -- 升序
> db.Account.find().sort({"UserName":-1}) --降序

--SELECT * FROM Account ORDER BY UserName ASC

--SELECT * FROM Account ORDER BY UserName DESC 

统计聚集中记录条数

> db.Account.find().count()

--SELECT COUNT(*) FROM Account 

统计聚集中符合条件的记录条数

> db.Account.find({"Age":{"$gt":20}}).count()

-- SELECT COUNT(*) FROM Account WHERE Age > 20

统计聚集中字段符合条件的记录条数

> db.Account.find({"UserName":{"$exists":true}}).count()

--SELECT COUNT(UserName) FROM Account 

查询聚集中前5条记录 

> db.Account.find().limit(5)

--SELECT TOP 5 * FROM Account 

查询聚集中第10条以后的记录

> db.Account.find().skip(10)

--SELECT * FROM Account WHERE AccountID NOT IN (SELECT TOP 10 AccountID FROM Account) 

查询聚集中第10条记录以后的5条记录

> db.Account.find().skip(10).limit(5)

--SELECT TOP 5 * FROM Account WHERE AccountID NOT IN (SELECT TOP 10 AccountID FROM Account)

or查询

> db.Account.find({"$or":[{"UserName":/keyword/},{"Email":/keyword/}]},{"UserName":true,"Email":true})

--SELECT UserName,Email FROM Account WHERE UserName LIKE '%keyword%' OR Email LIKE '%keyword%' 

添加新记录

> db.Account.insert({AccountID:2,UserName:"lb",Password:"1",Age:25,Email:"libing@163.com",RegisterDate:"2011-06-09 16:36:95"})

修改记录

> db.Account.update({"AccountID":1},{"$set":{"Age":27,"Email":"libingql@163.com"}})
> db.Account.find({"AccountID":1})
{ "AccountID" : 1, "Age" : 27, "Email" : "libingql@163.com", "Password" : "1", "RegisterDate" : "2011-06-09 16:31:25", "UserName" : "libing", "_id" : ObjectId("4df08553188e444d001a763a") }

> db.Account.update({"AccountID":1},{"$inc":{"Age":1}})
> db.Account.find({"AccountID":1})
{ "AccountID" : 1, "Age" : 28, "Email" : "libingql@163.com", "Password" : "1", "RegisterDate" : "2011-06-09 16:31:25", "UserName" : "libing", "_id" : ObjectId("4df08553188e444d001a763a") }

删除记录

> db.Account.remove({"AccountID":1}) --DELETE FROM Account WHERE AccountID = 1

> db.Account.remove({"UserName":"libing"}) --DELETE FROM Account WHERE UserName = 'libing'

> db.Account.remove({"Age":{$lt:20}}) --DELETE FROM Account WHERE Age < 20
> db.Account.remove({"Age":{$lte:20}}) --DELETE FROM Account WHERE Age <= 20
> db.Account.remove({"Age":{$gt:20}}) --DELETE FROM Account WHERE Age > 20
> db.Account.remove({"Age":{$gte:20}}) --DELETE FROM Account WHERE Age >= 20
> db.Account.remove({"Age":{$ne:20}}) --DELETE FROM Account WHERE Age != 20

> db.Account.remove()    --全部删除
> db.Account.remove({})  --全部删除

 

 

 

 

使用java代码进行远程连接测试操作mongodb需要设置MongoDB允许远程连接

sudo netstat -nputl
tcp        0      0 127.0.0.1:27017         0.0.0.0:*               LISTEN      1109/mongod   

看了一下MongoDB 的服务监听的地址,因此你使用192.168.1.4，是链接不上的，会被拒绝，这个一个元应 mongod文件添加如下行，已存在请修改

 

bind_ip = 0.0.0.0    

另外如果是redhat,centos 系列的，打开防火墙端口

iptables -A INPUT -p tcp -m tcp --dport 27017 -j ACCEPT 

暂时关闭selinux