一、 环境 1、架构图 650) this.width=650;" src="http://www.68idc.cn/help/uploads/allimg/151111/120F554M-0.jpg" title="111111111.png" alt="wKioL1XRzn6SRVMYAADM1onFESo308.jpg" /> 2、部署详细 10.10.17.26:27000(primary)10.10.17.27:27000(seco
一、环境
1、架构图
2、部署详细
10.10.17.26:27000 (primary) 10.10.17.27:27000 (secondary) 10.10.2.74:27000 (arbiter)
3、软件版本
mongdb :2.6.11 系统:centos 6.6
二、安装配置
1、安装见mongodb安装
2、撰写配置文件
vi /etc/mongod_27000.conf logpath=/data/mongodb/navy_db/log/mongod.log #mongodb日志文件 logappend=true #追加方式写日志文件 fork=true #后台运行 port=27000 #mongodb端口 dbpath=/data/mongodb/navy_db/db pidfilepath=/data/mongodb/navy_db/log/mongod.pid bind_ip=0.0.0.0 rest = true #开启web访问 journal = true #启用日志选项,MongoDB的数据操作将会写入到journal文件夹的文件里 oplogSize=2048 #同步操作记录文件大小(MB) replSet=dbset #副本集名称,同一个副本集,名称必须一致 auth=true #开启验证 keyFile=/data/mongodb/navy_db/password.key #key认证
3、生成keyfile文件
echo "c57a012cf2f8a8e20dd4b21a7fae48b3" >/data/mongodb/navy_db/password.key
4、设置keyfile权限,必须是600
chmod 600 /data/mongodb/navy_db/password.key
5、启动服务
ulimit -s 4096 && ulimit -m 16777216 & numactl --interleave=all /usr/bin/mongod -f /etc/mongod_27000.conf
PS:
在配置集群之前auth和keyFile先注释掉,待集群初始化完成,建立用户(从库上不需要建用户,当集群初始化完成会从主库上同步过来的,如果从库建了用户,集群初始化会报错,提示从库已有数据),然后打开,并重启服务让其生效
三、集群配置
#use到admin use admin 创建配置(dbset是集群名称,必须和配置文件中replSet的值一样) config = { _id:"dbset", members:[ ... ... {_id:1,host:"10.10.11.34:27000"}, ... ... {_id:2,host:"10.10.16.6:27000"} ] ... ... } #初始化集群 rs.initiate(config); #添加仲裁节点 rs.addArb("10.10.2.74:27000") #查看集群状态 rs.status()
PS:其他常用命令
#删除一个节点 rs.remove("10.10.2.74:27000") #查看集群配置信息 rs.conf() #查看当前谁是primary rs.isMaster() #查看主从延时 rs.printSlaveReplicationInfo() #查看rs相关命令 rs.help()
rs.status()结果说明
1. STARTUP:刚加入到复制集中,配置还未加载 2. STARTUP2:配置已加载完,初始化状态 3. RECOVERING:正在恢复,不适用读 4. ARBITER: 仲裁者 5. DOWN:节点不可到达 6. UNKNOWN:未获取其他节点状态而不知是什么状态,一般发生在只有两个成员的架构,脑裂 7. REMOVED:移除复制集 8. ROLLBACK:数据回滚,在回滚结束时,转移到RECOVERING或SECONDARY状态 9. FATAL:出错。查看日志grep “replSet FATAL”找出错原因,重新做同步 10. PRIMARY:主节点 11. SECONDARY:备份节点
四、建立用户(只能在primary节点上操作)
use admin db.addUser('admin','123456') #建立管理员账号 use navy_db #如果navy_db存在就进入库,如果不存在就建立navy_db库,空库show dbs是看不到的 db.addUser('navy_db_pro','123456') #建立navy_db的读写账号 db.addUser('navy_db_sel','123456',true) #建立navy_db的只读账号
五、重启集群
把auth和keyFile的注释去掉,arbiter、secondary、primary三个节点依次重启,让其生效
rs.status() 查看集群状态是否ok
PS:
1、从库默认是不可以读的,如果需要从库提供读业务,需要做一下设置
db.getMongo().setSlaveOk()
2、mongdb的客户端驱动支持这种架构,主库挂了,secondary提升为主,对于应用基本透明
client=MongoClient(“mongdb://navy_db_pro:123456@10.10.17.26:27000,10.10.17.27:27000/navy_db”

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

Dreamweaver Mac version
Visual web development tools

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.