SQL Server 2008 R2新特性:主数据管理
SQL Server 2008 R2 CTP版本推出后,受到DBA的广泛关注。其中最令人兴奋的就是SQL Server 2008 R2中提供了主数据 管理 的功能,下面简单说一下R2中到底为我们带来了哪些新特性: -对超过64个内核CPU的支持。在SQL 2008中最多只支持64个CPU核,现在R2中可以支
SQL Server 2008 R2 CTP版本推出后,受到DBA的广泛关注。其中最令人兴奋的就是SQL Server 2008 R2中提供了主数据管理的功能,下面简单说一下R2中到底为我们带来了哪些新特性:
-对超过64个内核CPU的支持。在SQL 2008中最多只支持64个CPU核,现在R2中可以支持256个核了!
-提供对硬件资源进行深入监控的仪表、报表之类的,可以帮助用户调优SQL Server,提高硬件资源的发挥和保证系统的健康运行。
-SSMS得到了进一步的增强,以提供更多的功能、策略、报表等来帮助用户管理数据库。
-提供了主数据服务(MDS),企业中的主数据可以直接通过SQL Server进行管理了。
-在BI上进行了加强,新的“data mash up”功能实现了数据的收集、集成,数据集成工作变得更强大更容易;提供了Excel 2010的插件用于在Excel中进行数据分析;报表的设计和展示也进行了增强,变得更易上手使用。
-对地理空间数据类型进行了增强,支持地理空间可视化。
-和Share Point 2010进行了集成,可以通过SharePoint来对分析报表进行共享。同时可以在Share Point中对SQL Server的策略和BI等进行强大的配置和管理。
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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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