## 查看当前库中表的数据
(root@localhost) [test]>select count(*) from t_innodb;
+----------+
| count(*) |
+----------+
| 0 |
+----------+
1 row in set (0.00 sec)
## 执行插入数据操作,该操作在全备之后执行完成
(root@localhost) [test]>call addTest(100000,0);
## 执行全库备份
# 备份文件夹:2014-06-19_20-53-41
# backup_type = full-backuped
# from_lsn = 0
# to_lsn = 3768612700
# last_lsn = 3788082769
# compact = 0
innobackupex --user=bkpuser --password=s3cret --defaults-file=/etc/my.cnf /backup
## 全备备份完成后,等待addTest 执行完成后,检查数据量
(root@localhost) [test]>select count(*) from t_innodb;
+----------+
| count(*) |
+----------+
| 100000 |
+----------+
1 row in set (0.03 sec)
## 再执行一个增量的备份
# 备份文件夹:2014-06-19_20-59-02
# backup_type = incremental
# from_lsn = 3768612700
# to_lsn = 3837968338
# last_lsn = 3837968338
# compact = 0
innobackupex --user=bkpuser --password=s3cret --defaults-file=/etc/my.cnf --incremental --incremental-basedir=/backup/2014-06-19_20-53-41 /backup
## 在库中新建一个表
CREATE TABLE `t_innodb_1` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`name` varchar(50) DEFAULT NULL,
`password` varchar(150) DEFAULT NULL,
`userstatus` int(2) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB;
Insert into t_innodb_1 select * from t_innodb where id
(root@localhost) [test]>select count(*) from t_innodb_1;
+----------+
| count(*) |
+----------+
| 100 |
+----------+
1 row in set (0.00 sec)
## 再执行一个增量的备份
# 备份文件夹:2014-06-19_21-05-02
# backup_type = incrementall
# from_lsn = 3837968338
# to_lsn = 838021951
# last_lsn = 3838021951
# compact = 0
innobackupex --user=bkpuser --password=s3cret --defaults-file=/etc/my.cnf --incremental --incremental-basedir=/backup/2014-06-19_20-59-02 /backup
## 二次增量备份完成后,再次插入1000数据
(root@localhost) [test]>call addTest(1000,0);
Query OK, 1 row affected (0.32 sec)
(root@localhost) [test]>select count(*) from t_innodb;
+----------+
| count(*) |
+----------+
| 101000 |
+----------+
1 row in set (0.03 sec)
## 停止MySQL服务
[mysql@rhel5 data]$ /etc/init.d/mysql stop
Shutting down MySQL.... [ OK ]
## 移动之前的数据目录
[mysql@rhel5 data]$ mkdir ../bak
[mysql@rhel5 data]$ mv auto.cnf ib* mysql* p* test zabbix/ ../bak
## Prepare 全备,使用--redo-only
innobackupex --defaults-file=/etc/my.cnf --apply-log --redo-only /backup/2014-06-19_20-53-41/
## Prepare 第一个增量,使用--redo-only
innobackupex --defaults-file=/etc/my.cnf --apply-log --redo-only --incremental-dir=/backup/2014-06-19_20-59-02/ /backup/2014-06-19_20-53-41/
## Prepare 第二个增量,最后一个增量不需要--redo-only
innobackupex --defaults-file=/etc/my.cnf --apply-log --incremental-dir=/backup/2014-06-19_21-05-02/ /backup/2014-06-19_20-53-41/
## 针对完整备份,执行一次Restore
innobackupex --defaults-file=/etc/my.cnf --copy-back /backup/2014-06-19_20-53-41/
## 启动数据库,检查mysqld-error.log有无异常
[root@rhel5 ~]# /etc/init.d/mysql start
Starting MySQL. [确定]
## 登陆检查数据,发现正常
(root@localhost) [test]>select count(*) from t_innodb_1;
+----------+
| count(*) |
+----------+
| 100 |
+----------+
1 row in set (0.00 sec)
(root@localhost) [test]>select count(*) from t_innodb;
+----------+
| count(*) |
+----------+
| 100000 |
+----------+
1 row in set (0.00 sec)

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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