在SQL Server 2008中有很多组件可以进行性能数据收集。为了设定收集数据的类型以及收集计划,数据收集器需要使用管理数据仓库。管理数据仓库也是一个关系型数据库,但在创建该数据库时很多默认设置需要进行修改,在我们后面的实验中将深入讨论。理想状态下,
在SQL Server 2008中有很多组件可以进行性能数据收集。为了设定收集数据的类型以及收集计划,数据收集器需要使用管理数据仓库。管理数据仓库也是一个关系型,但在创建该时很多默认设置需要进行修改,在我们后面的实验中将深入讨论。理想状态下,管理数据仓库最好和生产环境的数据库位于不同的上,以便实现更好的性能。
数据收集所针对的目标是SQL Server 的实例,每一个实例都有收集组与之相对应,其中收集组指特定的收集类型,例如磁盘和查询统计。数据收集依靠SQL Server Agent 或SSIS按照计划来执行,因此作业和计划都会存储在msdb数据库中。管理数据仓库的角色就是存储数据、一些聚合值、以及针对系统分析而生成的历史信息。
安装并配置管理数据仓库
1. 打开 SQL Server Management Studio.
依次点击Start | All Programs | Microsoft SQL Server 2008 | SQL Server Management Studio
2. SQL Server Management Studio 打开以后,在Connect to Server 对话框中,输入如下信息,然后点击Connect:
Server type: Database Engine
Server name: CHICAGO\CONFIGSERVER
Authentication: Windows Authentication
3. 在Object Explorer中,依次展开Management 和Data Collection.
4. 右键点击Data Collection 然后点击Configure Management Data Warehouse.
5. 点击Next.
6. 在配置Management Data Warehouse 时需要做两件事:创建SQL Server 数据库用于存储收集上来的数据计数;指定缓存文件夹,数据在加载到管理数据仓库之前会临时被缓存在这里。对于收集操作比较频繁的数据集,所收集的数据会在本地缓存,然后再批量导入到管理数据仓库,从而降低了网络负载并提高了数据收集时的性能。
7. 在Configure Management Data Warehouse Wizard 页面中,选择Create or upgrade a management data warehouse 然后点击Next.
8. 服务器名称会自动填写
注意:你必须有足够的权限,以便在服务器中创建管理数据仓库。更多详细信息,请参考SQL Server 2008 Books Online 中的CREATE DATABASE (Transact-SQL) 以及Data Collector Security 部分
9. 点击New新建管理数据仓库。
按照下图所示进行设置。即将数据库名称设置为ManagementDW:
10. 点击 OK 接收默认设置并创建ManagementDW 数据库。注意:即便在后面的步骤中取消向导,该数据库也将在该步骤中创建
11. 点击Next.
12. 在Map Users and Logins 对话框中将要设置管理数据仓库如何使用以及被谁所使用。在此实验中,我们将使用Administrator登陆帐号对数据仓库进行读写,该帐号已经对此数据库有了相应权限。在一些拥有多个DBA及操作员的复杂环境中,我们需要在此进行详细设置
13. 点击 Next.

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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