利用交换机的Port-Security功能实现 以下是一个配置实例: switch#c onfig t switch(config)#int f0/1 switch(config-if)#switchport mode access //设置交换机的端口模式为access模式,注意缺省是dynamic //dynamic模式下是不能使用Port-security功能
利用交换机的Port-Security功能实现
以下是一个配置实例:
switch#c onfig t
switch(config)#int f0/1
switch(config-if)#switchport mode access
//设置交换机的端口模式为access模式,注意缺省是dynamic
//dynamic模式下是不能使用Port-security功能
switch(config-if)#switchport port-security
//打开port-security功能
switch(config-if)#switchport port-security mac-address xxxx.xxxx.xxxx
//xxxx.xxxx.xxxx就是你要关联的mac地址
switch(config-if)#switchport port-security maximum 1
//其实缺省就是1
switch(config-if)#switchport port-security violation shutdown
//如果违反规则,就shutdown端口
//这个时候你show int f0/1的时候就会看到接口是err-disable的
附:
switchport port-security命令语法
Switch(config-if)#switchport port-security ?
aging Port-security aging commands
mac-address Secure mac address
//设置安全MAC地址
maximum Max secure addresses
//设置最大的安全MAC地址的数量,缺省是1
violation Security violation mode
//设置违反端口安全规则后的工作,缺省是shutdown

MySQLoffersvariousstorageengines,eachsuitedfordifferentusecases:1)InnoDBisidealforapplicationsneedingACIDcomplianceandhighconcurrency,supportingtransactionsandforeignkeys.2)MyISAMisbestforread-heavyworkloads,lackingtransactionsupport.3)Memoryengineis

Common security vulnerabilities in MySQL include SQL injection, weak passwords, improper permission configuration, and unupdated software. 1. SQL injection can be prevented by using preprocessing statements. 2. Weak passwords can be avoided by forcibly using strong password strategies. 3. Improper permission configuration can be resolved through regular review and adjustment of user permissions. 4. Unupdated software can be patched by regularly checking and updating the MySQL version.

Identifying slow queries in MySQL can be achieved by enabling slow query logs and setting thresholds. 1. Enable slow query logs and set thresholds. 2. View and analyze slow query log files, and use tools such as mysqldumpslow or pt-query-digest for in-depth analysis. 3. Optimizing slow queries can be achieved through index optimization, query rewriting and avoiding the use of SELECT*.

To monitor the health and performance of MySQL servers, you should pay attention to system health, performance metrics and query execution. 1) Monitor system health: Use top, htop or SHOWGLOBALSTATUS commands to view CPU, memory, disk I/O and network activities. 2) Track performance indicators: monitor key indicators such as query number per second, average query time and cache hit rate. 3) Ensure query execution optimization: Enable slow query logs, record and optimize queries whose execution time exceeds the set threshold.

The main difference between MySQL and MariaDB is performance, functionality and license: 1. MySQL is developed by Oracle, and MariaDB is its fork. 2. MariaDB may perform better in high load environments. 3.MariaDB provides more storage engines and functions. 4.MySQL adopts a dual license, and MariaDB is completely open source. The existing infrastructure, performance requirements, functional requirements and license costs should be taken into account when choosing.

MySQL uses a GPL license. 1) The GPL license allows the free use, modification and distribution of MySQL, but the modified distribution must comply with GPL. 2) Commercial licenses can avoid public modifications and are suitable for commercial applications that require confidentiality.

The situations when choosing InnoDB instead of MyISAM include: 1) transaction support, 2) high concurrency environment, 3) high data consistency; conversely, the situation when choosing MyISAM includes: 1) mainly read operations, 2) no transaction support is required. InnoDB is suitable for applications that require high data consistency and transaction processing, such as e-commerce platforms, while MyISAM is suitable for read-intensive and transaction-free applications such as blog systems.

In MySQL, the function of foreign keys is to establish the relationship between tables and ensure the consistency and integrity of the data. Foreign keys maintain the effectiveness of data through reference integrity checks and cascading operations. Pay attention to performance optimization and avoid common errors when using them.


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