bitsCN.com
试验环境
Ubuntu Win7
授权
授权语句
Grant all on *.* to root@192.168.126.255 identified by “123”;
查看授权用户表
Select user,host,password from mysql.user;
MYSQL主从服务器怎么实现同步
从服务器每间隔一段时间就到主服务器里面去取bin-log日志,完成操作。
bin-log日志开启
Ubuntu
重启服务
sudo /etc/init.d/mysql restart
Win7
bin-log日志的作用
Flush logs;
此时就会多一个新的bin-log日志。
Show master status;
查看最后一个bin-log日志。
对内容进行修改之后再查看。
reset master;
清除日志,看到回到了mysql-bin.000001文件。
再插入数据之后进行bin-log日志查看。
若数据丢失,可用bin-log恢复数据。这种恢复数据的条件对于备完份,然后服务器又开了一段时间之后数据全部丢失了,可以恢复回来一些数据,但是之后的一段时间的数据就需要bin-log来恢复。
个别恢复。
只想回复insert into yyd_table values (5);那个。
完全备份与恢复
那么,说到备份,在简单介绍一些备份。
完全恢复
主从设置
Win7,从服务器,设置。
然后重启。
Ubuntu,主服务器,设置。
查看配置
测试:
总结&&遇到问题的解决
MySQL这个主从可以用到集群服务器上,而且若是在搞访问量期间,也可以在从服务器进行备份。
但是这仅仅只是主从服务器,当主服务器崩溃之后,从服务器不会出来当主服务器的,所以还是不够完美。
在期间,在进行授权之后,我老是不能登录远程的MYSQL,然后百度后将问题解决了。
[mysqld]
skip-name-resolve
skip-grant-tables
跳过MySQL的访问控制,任何人都可以在控制台以管理员的身份进入MySQL。
以上就是MySQL bin-log与主从服务器_MySQL的内容,更多相关内容请关注PHP中文网(www.php.cn)!

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.

MySQL is an efficient relational database management system suitable for storing and managing data. Its advantages include high-performance queries, flexible transaction processing and rich data types. In practical applications, MySQL is often used in e-commerce platforms, social networks and content management systems, but attention should be paid to performance optimization, data security and scalability.

The relationship between SQL and MySQL is the relationship between standard languages and specific implementations. 1.SQL is a standard language used to manage and operate relational databases, allowing data addition, deletion, modification and query. 2.MySQL is a specific database management system that uses SQL as its operating language and provides efficient data storage and management.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB


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