大数据 MongoDB 复制集管理

发布时间:2020-06-09 03:27:17 作者:HHHNDYD
来源:网络 阅读:585

MongoDB 复制集

复制集的优势

mongodb各个节点常见的搭配方式为:一主一从、一主多从。

主节点记录在其上的所有操作oplog,从节点定期轮询主节点获取这些操作,然后对自己的数据副本执行这些操作,从而保证从节点的数据与主节点一致。

MongoDB复制结构图如下所示:

大数据 MongoDB 复制集管理

以上结构图中,客户端从主节点读取数据,在客户端写入数据到主节点时, 主节点与从节点进行数据交互保障数据的一致性。

复制集集特征:

安装 MongoDB (tar安装) :

tar -zxvf mongodb-linux-x86_64-3.2.1.tgz -C /usr/local/
cd /usr/local/
mv mongodb-linux-x86_64-3.2.1/ mongodb      #重命名

mkdir -p /data/mongodb/mongodb{1,2,3,4}     #创建数据目录
mkdir -p /data/logs
touch /data/logs/mongodb{1,2,3,4}.log       #创建日志文件
cd /data/logs/
chmod 777 *.log      #赋予权限

cd /usr/local/mongodb/bin
vim mongodb1.conf

port=27017
dbpath=/data/mongodb/mongodb1
logpath=/data/logs/mongodb1.log
logappend=true
fork=true
maxConns=5000
storageEngine=mmapv1

replSet=test     #复制集名称
------------------------------------------------------------------------------------
#下面是yum安装时修改、添加的
replication:           #去注释
  replSetName: test   #添加复制集名称
ln -s /usr/local/mongodb/bin/mongod /usr/bin/  #把mongodb常用的命令添加到系统命令中
ln -s /usr/local/mongodb/bin/mongo /usr/bin/
[root@localhost bin]# mongo
> cfg={"_id":"test","members":[{"_id":0,"host":"192.168.217.129:27017"},{"_id":1,"host":"192.168.217.129:27018"},{"_id":2,"host":"192.168.217.129:27019"}]}
#配置复制集 ,注意复制集的名称要一致
{
    "_id" : "test",
    "members" : [
        {
            "_id" : 0,
            "host" : "192.168.217.129:27017"
        },
        {
            "_id" : 1,
            "host" : "192.168.217.129:27018"
        },
        {
            "_id" : 2,
            "host" : "192.168.217.129:27019"
        }
    ]
}
> rs.initiate(cfg)   #初始化配置时保证从节点没有数据
{ "ok" : 1 }
test:PRIMARY> rs.status()    #查看复制集的完整状态
{ 
    "set" : "test",
        .......
        {
            "_id" : 0,
            "name" : "192.168.217.129:27017",
            "health" : 1,
            "state" : 1,
            "stateStr" : "PRIMARY",       #27017 端口作为主节点
            "uptime" : 1234,
            "optime" : {
                "ts" : Timestamp(1531961046, 1),
                "t" : NumberLong(1)
            },
            ......
        },
        {
            "_id" : 1,
            "name" : "192.168.217.129:27018",
            "health" : 1,
            "state" : 2,
            "stateStr" : "SECONDARY",    #从节点
            "uptime" : 49,
            "optime" : {
                "ts" : Timestamp(1531961046, 1),
                "t" : NumberLong(1)
            },
            ......
        },
        {
            "_id" : 2,
            "name" : "192.168.217.129:27019",
            "health" : 1,
            "state" : 2,
            "stateStr" : "SECONDARY",   #从节点
            "uptime" : 49,
            "optime" : {
                "ts" : Timestamp(1531961046, 1),
                "t" : NumberLong(1)
            },
            .......
        }
    ],
    "ok" : 1
}
test:PRIMARY> rs.add("192.168.217.129:27020")     #添加节点
{ "ok" : 1 }
test:PRIMARY> rs.status()
    ........
            "_id" : 3,
            "name" : "192.168.217.129:27020",
            "health" : 1,
            "state" : 2,
            "stateStr" : "SECONDARY",
    ........
test:PRIMARY> rs.remove("192.168.217.129:27020")  #删除节点
{ "ok" : 1 }
test:PRIMARY> rs.status()
.........
[root@localhost bin]# mongod -f mongodb1.conf --shutdown   #关闭主节点端口
killing process with pid: 3552
[root@localhost bin]# mongo --port 27018  
test:SECONDARY> rs.status()
{
    "set" : "test",
    .......
        {
            "_id" : 0,
            "name" : "192.168.217.129:27017",   
            "health" : 0,
            "state" : 8,
            "stateStr" : "(not reachable/healthy)",  
            "uptime" : 0,
            "optime" : {
            .......
        {
            "_id" : 1,
            "name" : "192.168.217.129:27018",
            "health" : 1,
            "state" : 2,
            "stateStr" : "SECONDARY",
            "uptime" : 1811,
            .......
        {
            "_id" : 2,
            "name" : "192.168.217.129:27019",   #自动切换主节点
            "health" : 1,
            "state" : 1,
            "stateStr" : "PRIMARY",
            "uptime" : 712,
            ......
        }
    ],
    "ok" : 1
}
[root@localhost bin]# mongo --port 27019  
test:PRIMARY> rs.freeze(30)        #暂停30s不参与选举
{ "ok" : 1 }
test:PRIMARY> rs.stepDown(60,30)  
#交出主节点位置,维持从节点状态不少于60秒,等待30秒使主节点和从节点日志同步

test:SECONDARY> rs.status()
......
test:SECONDARY> show dbs   #
2018-07-19T09:04:34.898+0800 E QUERY    [thread1] Error: listDatabases failed:{ "ok" : 0, "errmsg" : "not master and slaveOk=false", "code" : 13435 } :
_getErrorWithCode@src/mongo/shell/utils.js:23:13
Mongo.prototype.getDBs@src/mongo/shell/mongo.js:53:1
shellHelper.show@src/mongo/shell/utils.js:700:19
shellHelper@src/mongo/shell/utils.js:594:15
@(shellhelp2):1:1

test:SECONDARY> rs.slaveOk()    #允许默认从节点读取数据
test:SECONDARY> show dbs
local  1.078GB
test:PRIMARY> use local
switched to db local
test:PRIMARY> rs.printReplicationInfo()  #查看日志文件能够使用的大小 默认oplog大小会占用64位实例5%的可用磁盘空间
configured oplog size:   95.37109375MB
log length start to end: 1103secs (0.31hrs)
oplog first event time:  Thu Jul 19 2018 08:43:55 GMT+0800 (CST)
oplog last event time:   Thu Jul 19 2018 09:02:18 GMT+0800 (CST)
now:                     Thu Jul 19 2018 09:20:08 GMT+0800 (CST)
test:PRIMARY> db.runCommand({"convertToCapped":"oplog.rs","size":10000000000}) #修改  单位:B
{ "ok" : 1 }
test:PRIMARY> rs.printReplicationInfo()
configured oplog size:   9536.746032714844MB
log length start to end: 1103secs (0.31hrs)
oplog first event time:  Thu Jul 19 2018 08:43:55 GMT+0800 (CST)
oplog last event time:   Thu Jul 19 2018 09:02:18 GMT+0800 (CST)
now:                     Thu Jul 19 2018 09:20:24 GMT+0800 (CST)
test:PRIMARY> 
推荐阅读:
  1. 大数据 MongoDB 3.2.1 分片
  2. MongoDB(4.0)分片——大数据的处理之道

免责声明:本站发布的内容(图片、视频和文字)以原创、转载和分享为主,文章观点不代表本网站立场,如果涉及侵权请联系站长邮箱:is@yisu.com进行举报,并提供相关证据,一经查实,将立刻删除涉嫌侵权内容。

mongodb 复制集 管理

上一篇:nfs之限定导出属性实例等

下一篇:JMS与ActiveMQ消息数据持久化

相关阅读

您好,登录后才能下订单哦!

密码登录
登录注册
其他方式登录
点击 登录注册 即表示同意《亿速云用户服务条款》