SQL Server新一代的内存管理技术-Mysql Tutorial-php.cn

Home

Database

Mysql Tutorial

SQL Server新一代的内存管理技术

WBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWB

Jun 07, 2016 pm 05:54 PM

sql serverMemorymanagement technology

在2012年度的SQL Server（PASS）峰会（SQL Server专业人士的技术会议）上，微软发布了代码名为Hekaton的新功能，一个完全针对事务处理(TP)的内存数据管理系统。Hekaton 的技术主要适合于那些对事务处理要求极其苛刻的应用，比如金融服务公司、在线游戏等等。

在2012年度的SQL Server（PASS）峰会（SQL Server专业人士的技术会议）上，微软发布了代码名为”Hekaton”的新功能，一个完全针对事务处理(TP)的内存数据管理系统。Hekaton 的技术主要适合于那些对事务处理要求极其苛刻的应用，比如金融服务公司、在线游戏等等。对于 Hekaton 最令人印象深刻的是它不是一个单独的数据管理产品或者一个需要新的编程模型来实现 TP 能力突破性提高的系统, 它仍是 SQL ！

目前为止，大部分基于内存中的数据管理系统都是围绕列存储技术为核心的分析负载。SQL Server 在2012的版本里面也已经发布了基于同样技术的xVelocity 分析引擎和 xVelocity列存储索引。而Hekaton则是一项基于行的技术，完全集中在事务处理 (TP) 的工作负载。而且更令人兴奋的时这两种技术并不相互排斥。Hekaton 和 SQL Server 现有 xVelocity 列存储索引与 xVelocity 分析引擎的结合将产生极佳的组合效果

现有应用程序完全可从这一新技术中受益，首先通过微软提供的分析工具确定最常用/负荷最重的表和存储过程，然后配置服务器将这些表迁移到系统主内存里（如下）.

SQL Server新一代的内存管理技术

而操作这些表的存储过程可以直接编译成本地代码从而加快执行速度（如下）

SQL Server新一代的内存管理技术

我们的客户测试显示在同一硬件下性能有5 ~ 50倍的提高。实际的性能提高还取决于多种因素，比如你迁移了多少张表到Hekaton等等。

Hekaton现在已经进入预览阶段，已经有一些客户在试运行这个技术。如果你对试运行感兴趣的话，你也可以联系微软。

Statement

The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Explain the InnoDB Buffer Pool and its importance for performance.Apr 19, 2025 am 12:24 AM

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.

MySQL vs. Other Programming Languages: A ComparisonApr 19, 2025 am 12:22 AM

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.

Learning MySQL: A Step-by-Step Guide for New UsersApr 19, 2025 am 12:19 AM

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: Essential Skills for Beginners to MasterApr 18, 2025 am 12:24 AM

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: Structured Data and Relational DatabasesApr 18, 2025 am 12:22 AM

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: Key Features and Capabilities ExplainedApr 18, 2025 am 12:17 AM

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.

The Purpose of SQL: Interacting with MySQL DatabasesApr 18, 2025 am 12:12 AM

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.

MySQL for Beginners: Getting Started with Database ManagementApr 18, 2025 am 12:10 AM

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

See all articles