SQLSERVER中的资源调控器 转载自: 资源调控器是sql server 2008新增的功能,可以限制某些用户访问sql server所消耗的cpu、内存资源或是对某个库访问 所消耗的cpu、内存资源,可以在SQL Server 的 Enterprise Edition、Developer Edition 和 Evaluation Editi
SQLSERVER中的资源调控器
转载自:
资源调控器是sql server 2008新增的功能,可以限制某些用户访问sql server所消耗的cpu、内存资源或是对某个库访问
所消耗的cpu、内存资源,可以在SQL Server 的 Enterprise Edition、Developer Edition 和 Evaluation Edition中使用。
配置资源调控器基本分为以下步骤:
(1) 创建并配置一个资源调控器资源池,发生 CPU 争用时,,该资源池将限制分配给资源池中的请求的最大平均 CPU 带宽。
(2) 创建并配置一个使用该池的资源调控器工作负荷组。
(3) 创建一个“分类器函数”,它是一个用户定义函数 (UDF),其返回值供资源调控器用来对会话进行分类,
以便将它们路由到适当的工作负荷组。
(4)将分类器函数注册到资源调控器。
(5)将更改应用于资源调控器进行配置。
你可以使用IS_MEMBER()、APP_NAME()、SUSER_SNAME()、CONNECTIONPROPERTY()等函数在分类器函数里编写您的业务逻辑
msdn中的示例
本测试示例是限制某查询用户USER_READONLY限制cpu最大为10%.
master RESOURCE POOL pMAX_CPU_PERCENT_10 WITH (MAX_CPU_PERCENT = 10) WORKLOAD GROUP gMAX_CPU_PERCENT_10 USING pMAX_CPU_PERCENT_10; master rgclassifier_MAX_CPU ( ) 18 RETURNS SYSNAME 19 WITH SCHEMABINDING SYSNAME () ;; ; Resource Governor With(Classifier_Function=dbo.rgclassifier_MAX_CPU); RESOURCE GOVERNOR RECONFIGURE; , , , SYS. master LOGIN USER_READONLY (*) FROM sys.tables master WORKLOAD GROUP gMAX_CPU_PERCENT_10 RESOURCE GOVERNOR RECONFIGURE; RESOURCE POOL pMAX_CPU_PERCENT_10 RESOURCE GOVERNOR RECONFIGURE; RESOURCE GOVERNOR WITH (CLASSIFIER_FUNCTION= null); RESOURCE GOVERNOR RECONFIGURE; RESOURCE GOVERNOR DISABLE; .

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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