SQL Server 预读和物理读 的区别
今天在网上看到有人在讨论预读和物理读的区别,个人觉得物理读和预读都是IO操作,都是需要从磁盘中读取数据到内存,只是读取的时间有所不同,之后查了一下MSDN确
今天在网上看到有人在讨论预读和物理读的区别,个人觉得物理读和预读都是IO操作,都是需要从磁盘中读取数据到内存,只是读取的时间有所不同,之后查了一下MSDN确认了这种想法。
预读是在生成执行的同时去做的,通过这种方式可以提高IO的性能。而物理读是当执行计划生成好后去缓存读取数据发现缺少数据之后才到磁盘读取。当所有数据都从缓存中可以读取就变成逻辑读。
下面举个例子:
SET STATISTICS IO ON
SELECT COUNT(*) FROM LINEITEM
Table 'LINEITEM'. Scan count 3, logical reads 22328, physicalreads 3, read-ahead reads20331, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
SELECT COUNT(*) FROM LINEITEM
Table 'LINEITEM'. Scan count 3, logical reads 22328, physicalreads 0, read-ahead reads 0,lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
对于预读的解释:
数据库引擎支持称为“预读”的性能优化机制。预读首先预测执行查询执行计划所需的数据和索引页,网站空间,然后在查询实际使用这些页之前将它们读入缓冲区高速缓存。这样可以让计算和 I/O 重叠进行,从而充分利用 CPU 和磁盘。
预读机制允许数据库引擎从一个文件中读取最多 64 个连续页 (512KB)。该读取作为缓冲区高速缓存中相应数量(可能是非相邻的)缓冲区的一次散播-聚集读取来执行。如果此范围内的任何页在缓冲区高速缓存中已存在,当读取完成时,所读取的相应页将被放弃。如果相应页在缓存中已存在,虚拟主机,也可以从任何一端“裁剪”页的范围。
关于预读可以参考MSDN:
本文出自 “关注SQL Server技术” 博客,网站空间,请务必保留此出处

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.
