SQL Server数据库同步问题分享[未完,待续](一) SQL Server数据库同步问题分享(二)---操作步骤[未完,待续] SQL Server数据库同步问题分享(三)---创建订阅 上面的设置自己看着办 数据库表中如果有些表字段没有指定发布,则在筛选的时候是不允许的 可以使用发
SQL Server数据库同步问题分享[未完,待续](一)
SQL Server数据库同步问题分享(二)---操作步骤[未完,待续]
SQL Server数据库同步问题分享(三)---创建订阅
上面的设置自己看着办数据库表中如果有些表字段没有指定发布,则在筛选的时候是不允许的可以使用发布数据库机器作为分发服务器,一般情况我们也是这么做的,当然我们也可以使用其他的机器作为分发服务器,这里就需要自己配置分发服务器这里配置了机器名的映射,可以参考一下
(一) SQLServer服务启动
使用数据库同步至少启动两个服务
如上图所示,需要启动数据库实例服务器以及代理服务,这里要注意一下登录验证方式。
(二) SQL Agent代理服务登录模式
SQL Agent 使用本地账号登录模式,如果服务为非本地账号登录模式需要修改配置
这里是使用的机器管理员来登录的,最好设置一个机器登录密码。一定要注意这里不是SQL登录的账号而是机器登录的账号。然后引用重新启动该服务
(三) SQL发布服务器别名配置
在这里配置SQLServer发布服务器的别名,注意这里填写的端口号,SQLServer默认是1433端口。
使用这种方式配置之后就可以使用别名来登录远程机器了,而非IP。因为创建发布不能使用ip
当然我们也可以使用Hosts文件来映射,具体见下面介绍
(四) 修改Hosts文件映射IP
找到C盘hosts文件,该文件在C:\Windows\System32\drivers\etc\目录下面
用记事本打开这个文件修改如下内容
这里配置了机器名的映射,可以参考一下
(五) 创建发布
(六) 指定发布服务器
可以使用发布数据库机器作为分发服务器,一般情况我们也是这么做的,当然我们也可以使用其他的机器作为分发服务器,这里就需要自己配置分发服务器
(七) 指定快照存储位置
(八) 指定发布复制的数据库
(九) 指定发布类型
这里使用事务发布作为案例,事务发布的特点已经介绍过了
(十) 选择需要同步的数据库表
(十一) 没有主键的数据库表发布
没有主键是不能进行事务发布的,上面已经提到过了
(十二) 筛选同步数据
数据库表中如果有些表字段没有指定发布,则在筛选的时候是不允许的
(十三) 代理运行定时设置
上面的设置自己看着办
(十四) 代理安全性设置
(十五) 发布名称
篇幅问题,未完待续, 完整文档 下载

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


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