解决案例一:
今天公司服务器上所有的网站都出现问题,有的打开没有数据,有的直接是空白。
我的第一反应就是数据库挂了。打开远程,进了系统,service mysqld stop 失败。service mysqld start等了好大一会,提示Timeout error occurred trying to start MySQL Daemon
一开始以为是mysql用户问题,查询系统用户完全没有问题。
打开log日志一看,问题出现了Can't start server: can't create PID file: No space left on device;
df -h看了一下磁盘,500G的硬盘已经使用了100%,可用为0;
一咬牙删光了var/log文件夹。没想到的是log日志已经积累达到32G。
狂汗!!!而后启动mysql一切正常了。
解决案例二:
最近在维护linux服务器时发现,网站打不开了,经过检查发现是mysql数据库宕掉了,死活就是启动不起来。
然后看mysql日志文件
出现Can't start server: can't create PID file: No space left on device
这个错误。
提示磁盘空间不足
后用df -h 命令查看
竟然发现磁盘容量全部用完了,于是要查看是谁占用了
用命令:
find /tmp -size +100000000c
查找下磁盘中大于100M的文件
竟然出现:
tomcat的日志文件占用了443G,真是可恶啊啊
删掉此日志文件
rm -rf catalina.out
重新启动mysql即可。
最好重启linux os。
解决案例三:
mysql启动失败,日志显示如下:
代码如下:
120321 14:23:54 InnoDB: 1.1.8 started; log sequence number 1595695
120321 14:23:54 [ERROR] /usr/libexec/mysqld: Error writing file ‘/var/run/mysqld/mysqld.pid' (Errcode: 28)
120321 14:23:54 [ERROR] Can't start server: can't create PID file: No space left on device
120321 14:23:54 mysqld_safe Number of processes running now: 0
120321 14:23:54 mysqld_safe mysqld restarted
120321 14:23:54 [Note] Plugin ‘FEDERATED' is disabled.
120321 14:23:54 InnoDB: The InnoDB memory heap is disabled
120321 14:23:54 InnoDB: Mutexes and rw_locks use InnoDB's own implementation
120321 14:23:54 InnoDB: Compressed tables use zlib 1.2.3
120321 14:23:54 InnoDB: Using Linux native AIO
120321 14:23:54 InnoDB: Initializing buffer pool, size = 128.0M
120321 14:23:54 InnoDB: Completed initialization of buffer pool
120321 14:23:54 InnoDB: highest supported file format is Barracuda.
120321 14:23:55 InnoDB: Waiting for the background threads to start
其实答案很简单,
No space left on device 没有磁盘空间了。 清理/var/log的空间!

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

MySQL/InnoDB supports four transaction isolation levels: ReadUncommitted, ReadCommitted, RepeatableRead and Serializable. 1.ReadUncommitted allows reading of uncommitted data, which may cause dirty reading. 2. ReadCommitted avoids dirty reading, but non-repeatable reading may occur. 3.RepeatableRead is the default level, avoiding dirty reading and non-repeatable reading, but phantom reading may occur. 4. Serializable avoids all concurrency problems but reduces concurrency. Choosing the appropriate isolation level requires balancing data consistency and performance requirements.

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.


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