DML语句最遗憾的是IntelliSense只支持SELECT,UPDATE、DELETE和INSERT语句都不支持。 对于SELECT语句,Query Editor会根据当前的上下文确定当前数据库,也就是说不是当前会话连接的数据库,所以用一句简单的USE DATABASE语句就可以改变用于生成IntelliSense
DML语句最遗憾的是IntelliSense只支持SELECT,UPDATE、DELETE和INSERT语句都不支持。
对于SELECT语句,Query Editor会根据当前的上下文确定当前,也就是说不是当前会话连接的,所以用一句简单的USE DATABASE语句就可以改变用于生成IntelliSense列表的当前数据库。IntelliSense初始加载的列表项包括当前数据库中的架构以及用户默认架构下的表、视图和用户定义函数,还有所有系统内置的系统变量、系统函数,最后还有当前连接实例中的所有其他数据库。
用户在Query Editior中输入架构并加上"."符号后就可以看到架构下的表、视图和用户函数了,当用户继续输入表名或视图名并加上"."符号后就可以看到表和视图中的字段列表了。
从安全性方面,用户必须要有View Definition的权限才能正常使用IntelliSense。拿AdventureWorks来说,AdventureWorks下面有Person、Production、Purchasing和Sales四个架构,如果用户只有Sales架构的View Definition权限,那么当他输入"Production." 、"Person."或"Purchasing."的时候,他就看不到任何的提示。
另外值得提到的是,IntelliSense提供的列表不仅仅是数据库中已经存在的对象,还可以包括在当前脚本中那些尚未提交的对象,这就使得在编写架构定义的脚本时IntelliSense仍然可以起到一定作用。
DDL语句以及DCL语句:
没有提供IntelliSense的支持。
参数支持:
SQL Server 2008的IntelliSense支持函数和存储过程的参数,不过非常遗憾的是要让IntelliSense提供参数信息必须要在XML Editor下。
总结:
总体来说,个人觉得SQL Server 2008的IntelliSense功能还需要改进,至少要支持DDL语句么,而且不要把参数支持放到XML Editor下面去。

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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