MongoDB windows基础配置
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由于公司业务的发展MSSQL已处于瓶颈。因为没钱买牛逼服务器只能靠软件来实现最大优化了。原来的系统架构如下图:
现在准备把读写数据库和只读数据换成Nosql数据库。最终选择了Mongodb. 下面开始了Mongodb的学习。
1. Mongodb下载:https://www.mongodb.org/downloads?_ga=1.159678843.794950141.1434346788
2.具体安装就不多说了。网上太多介绍的。没必要浪费键盘了。
3.搭建复制集
一个简单的复制集最少包括三个节点。 1.primary 2. secondary,3.arbiter节点
primary: 存储数据。
secondary:同步主节点数据
arbiter: 当主节点故障时,arbiter会投票选择一个secondary充当priary节点。
大致如下:
注意:三个节点其实就是三个Mongod实例。
(1). 创建主节点配置文件内容如下: 文件名:rs0.conf
dbpath = D:\RuntimeServices\MongoDB_Ad\shard00\db //指定数据存储目录
logpath = D:\RuntimeServices\MongoDB_Ad\shard00\log\shard00.log //指定数据库日志目录
journal = true //是否启动日志功能
port = 32000 //端口号
nohttpinterface = true //不开启web监控界面
replSet = rs0 //复制集名称(同一个复制集名称相同)
(2). 创建从节点配置文件(rs1.conf),内容如下:
dbpath = D:\RuntimeServices\MongoDB_Ad\shard01\db
logpath = D:\RuntimeServices\MongoDB_Ad\shard01\log\shard01.log
journal = true
port = 32001
nohttpinterface = true
replSet = rs0
(3).创建arbiter节点配置文件(rs2.conf) 内容如下:
dbpath = D:\RuntimeServices\MongoDB_Ad\shard02\db
logpath = D:\RuntimeServices\MongoDB_Ad\shard02\log\shard02.log
journal = true
port = 32002
nohttpinterface = true
replSet = rs0
分别生成三个服务
sc.exe create OpenXLive.MongoDB_Ad.Shard00 binPath= "\"D:\RuntimeServices\MongoDB_Ad\mongodb-3.0.4\bin\mongod.exe\" --service --config=\"D:\RuntimeServices\MongoDB_Ad\mongodb-3.0.4\rs0_0.conf\"" DisplayName= "rs0_Service" start= "auto"
(4).链接到主节点执行命令
rs.initiate();
此时复制集只有一个成员。 rs.conf() 进行查看。
按照MongoDB的默认设置。刚才的命令会初始化mongod实例为主节点。 下面把从节点和arbiter加入进去。
rs0:PRIMARY>rs.add("localhost:32001");
rs0:PRIMARY>rs.addArb("localhost:32002");
rs0:PRIMARY>rs.status() 可查看复制集状态。
至此一个复制集创建完成。 在大数据的时代一个复制集远远不够。虽然解决了灾难恢复。但是没有完成数据分片。一台物理机上的空间是有限的。为了实现数据均衡分布在多台机器上。 下面开始了MongoDB的集群搭建。
在Mongodb中搭建一个集群环境非常简单。几分钟就可以完成一个拥有故障转移,数据同步,读写分离,数据分布式存储的集群环境。
二、分片集群架构
分片集群主要有mongos路由进程、配置服务器、复制集组成的分片集合组成。 如下图:
分片集群上一个分片(shard) 就是一个复制集。 当然也可以是一个单个Mongod实例。在集群中一般用复制集。保证一个分片不会故障。如果一个分片出现故障。整个集群就挂了。因为每一个分片上保留数据的一部分。
所有分片的综合才是所有数据。所以我们应该保证每个分片上数据的完整性和稳定性至关重要。
Mongos和配置服务器是轻量级进程。是不会保存数据的。 配置服务器只保存分片的一些状态信息。 所以整个读取集群的过程为: 访问Mongos-查询配置服务器,根据配置服务器要求写入或读取那些分片服务器进行读取数据。
搭建集群步骤:
1. 配置复制集rs0并启动。参考上面介绍
2.配置复制集rs1并启动。
3.配置cofingure服务器。
配置服务器也是一个Mongod实例。
(1).configure服务器1 的配置文件 cfgserver_0.conf 内容如下:
dbpath="E:\Mongodb\config\data\db_config0"
logpath = "E:\Mongodb\config\logs\db_config0.log"
journal = true
port = 30002
configsvr=true
启动服务。
(2).configure服务器2的配置文件参考上面。 启动服务
(3).configure服务器3的配置文件参考上面。 启动服务
4.配置Mongos路由服务器
配置文件cfg_mongos.conf 内容如下:
logpath=""
port = 30000
configdb = localhost:30001,localhost:30002,localhost:30003
启动服务器。
5. 添加各个分片到集群:
打开客户端连接到Mongos服务器。
添加第一个分片的主从节点: mongos>sh.addShard("localhost:30004,localhost:30005")
添加第二个分片的主从节点: mongos>sh.addShard("localhost:30007,localhost:30008")
6.最后通过sh.status()检查是否正确(下图我实际添加了三个分片)
<img alt="技术分享" 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 本文系统来源:http://www.cnblogs.com/zhanjun/p/4649277.html
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