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清理8组nodes中表的历史数据,平均每个node中的表有1.5亿条记录
清理8组nodes中表的历史数据,平均每个node中的表有1.5亿条记录,需要根据date_created字段清理8000W数据记录,这个字段没有索引。
环境介绍
线上磁盘空间不足,truncate了许多能动的表,磁盘空间还是占据了87%,我们的nagios报警阀值是80%。所以不断的还会收到email以及短信报警。需要根据时间字段date_created清理,但是在设计之初由于当初的开发人员考虑不足所以date_created字段没有建立索引。另外这些数据可以不用备份,直接删除掉。
问题来了,这么大记录量的表,根据date_created字段删除记录,而且还没有索引,难度肯定非常大。enl.ibd文件大小29G大小,磁盘剩余空间32G,两者差距比较小。
[mysql@xxxx-xxx ide]$ ll -h enl.ibd-rw-rw---- 1 mysql mysql 29G Aug 30 07:21 enl.ibd
方案策划中,大概准备采用shell命令。
虽然date_created 没有索引,但是我们做过实验
mysql> select * from enl where date_created < "2013-01-01 00:00:00" limit 1000;......1000 rows in set (0.00 sec)
看来执行效果还不错,那再试下delete效果
mysql> delete from enl where date_created < "2013-01-01 00:00:00" limit 1000;Query OK, 1000 row affected (2.00 sec)
看起来可以每次删除1000条,写脚本delete吧
for ((i=0;i<1000000;i++));do mysql -uroot -e 'use iden;delete from enl where date_created < "2013-01-01 00:00:00" limit 1000;';done
等delete操作完成之后,找业务低峰期执行 alter table enl engine=innodb;来释放磁盘空间。

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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.

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