一、环境。 1、服务器:准备 4 台虚拟机。 2、操作系统: windows2008R2SP2 或者以上版本。 3、数据库: Sqlserver2012 。 二、操作系统安装及设置。 4 、在 4 台虚拟机上均装上操作系统 windows2008R2, 并分别设置计算机名为 :DomainServer 、 DB1 、 DB2
一、环境。
1、服务器:准备4台虚拟机。
2、操作系统:windows2008 R2 SP2或者以上版本。
3、数据库:Sqlserver 2012。
二、操作系统安装及设置。
4、在4台虚拟机上均装上操作系统windows 2008 R2,并分别设置计算机名为:DomainServer、DB1、DB2、DB3,分别设置IP为192.168.100.20、192.168.100.21、192.168.100.22、192.168.100.23。
5、在DB1、DB2、DB3上开启功能.NET3.5 SP1。
6、在DB1、DB2、DB3上安装Sqlserver2012。
7、在DomainServer服务器上建立域服务alwayson.com、并将DB1、DB2、DB3的DNS设置为192.168.100.20,然后加如域alwayson.com。
三、windows2008故障转移群集部署。
8、以alwayson.com\administrator域帐户登录DB1、DB2、DB3,并添加故障转移集群功能。
9、在DB1、DB2、DB3中任一台机上创建群集,并将DB1、DB2、DB3台服务器添加进去、群集名称为alwaysoncluster,群集IP为192.168.100.25,仲裁配置为“多数节点”。
四、alwayson部署。
10、关闭DB1、DB2、DB3的防火墙或者在防火墙规则中添加例外端口1433、5022。
11、分别打开DB1、DB2、DB3的“SQL Server 配置管理器”,在左侧的“SQL Server 服务”列表中找到默认的实例,并开启alwayson功能。
12、将Sqlserver服务的登录帐户更改为域帐户alwayson.com\administrator,并重启sqlserver服务。
13、分别使用数据库管理工具连接DB1、DB2、DB3的数据库,并创建sqlserver的域登录帐户alwayson.com\administrator,并赋予sysadmin角色。
14、在DB1、DB2、DB3的分别建立目录D:\SQLDATA用于存放sql数据库文件,在局域网内建立一个可读写共享目录,该共享目录用于存放快照文件。要消除单点故障,可考虑将该共享存放在DFS共享上。
15、在DB1上新建数据库,数据文件存放在上面的新建文件夹D:\sqldata下,并做一次完整备份,要使用alwayson的数据库必须先完备一次。
16、以域管理员帐户登录DB1、打开“Sql Server Management Studio”,展开“alwayson高可用性”,并新建alwayson可用性组,命名为alwayson。
17、选择刚刚完备过的数据库。
18、在指定副本中添加DB1、DB2和DB3,其中DB1为主,DB2和DB3为辅;DB1和DB2为自动故障转移,同步提交,DB3不是自动故障转移且为异步提交,DB1和DB2、DB3均为可读辅助副本。
19、选择数据同步中选择完整,并填入用于存放快照的共享文件夹位置,然后直接下一步直至alwayson部署完成。
20、添加侦听器,在添加可用性组的地方选择添加侦听器,名称为alwaysonconn,IP为192.168.100.25,端口为1433,此连接用于程序连接,此伪IP信息始终在主数据库服务器上,若使用集群伪IP192.168.100.24会出现该IP不在主数据库服务器上的错误。

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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