首先设置MySQL主服务器: 在主服务器上为从服务器建立一个用户: 1.grant replication slave on *.* to 192.168.0.1 identified by '1234'; #4.1以后用这个,以前可以用 file. #grant file on *.* to 192.168.0.1 identified by '1234'; #后来我又加了super和
首先设置MySQL主服务器:
在主服务器上为从服务器建立一个用户:
1.grant replication slave on *.* to 192.168.0.1 identified by '1234';
#4.1以后用这个,以前可以用 file.
#grant file on *.* to 192.168.0.1 identified by '1234';
#后来我又加了super和client save权限,可以先不加.然后再试.
配置文件:/etc/my.cnf
2.主服务器上
server-id = 1
log-bin
binlog-do-db=需要备份的数据库名,如果备份多个数据库,,重复设置这个选项即可
binlog-ignore-db=不需要备份的数据库苦命,如果备份多个数据库,重复设置这个选项即可
3.从服务器上
log-bin
server-id=2
master-host=主机
master-user=用户名
master-password=密码
master-port=端口
replicate-do-db=需要备份的数据库名,如果备份多个数据库,重复设置这个选项即可
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
就这么简单照上面的配置就可以了.
主服务器上的相关命令:
show master status
show slave hosts
show logs
show binlog events
purge logs to 'log_name'
purge logs before 'date'
reset master(老版本flush master)
set sql_log_bin=
从服务器上的相关命令:
slave start
slave stop
SLAVE STOP IO_THREAD //此线程把master段的日志写到本地
SLAVE start IO_THREAD
SLAVE STOP SQL_THREAD //此线程把写到本地的日志应用于数据库
SLAVE start SQL_THREAD
reset slave
SET GLOBAL SQL_SLAVE_SKIP_COUNTER
load data from master
show slave status(SUPER,REPLICATION CLIENT)
CHANGE MASTER TO MASTER_HOST=, MASTER_PORT=,MASTER_USER=, MASTER_PASSWORD= //动态改变master信息
PURGE MASTER [before 'date'] 删除master端已同步过的日志
#
后话:
做实验的时候是给一台运行很久的而且很关键的数据库做备份,遇到的问题两个
1.两个数据库的配置文件不一样.
竟然字体还不一样.无语ing
2.数据库文件不一致问题,这是后来操作中产生的.所以无论主服务器多重要要做从服务器的时候一定把主服务器
停了,把东西拷到从服务器上.
再就是多看看mysql的日志文件,很有帮助的

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.

MySQL is not a programming language, but its query language SQL has the characteristics of a programming language: 1. SQL supports conditional judgment, loops and variable operations; 2. Through stored procedures, triggers and functions, users can perform complex logical operations in the database.

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.


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