


The efficiency of reading and writing files and reading and writing databases in PHP_PHP Tutorial
This article will introduce to you a comparison of the efficiency of reading and writing files and reading and writing databases in PHP. Friends who need to know more can refer to it.
The test program is as follows:
//Explanation 1: Since the read database statement calls the simple packet function twice, the read file is also changed to be called twice consecutively. The database record ID is 1 in the first One, and unique index.
The code is as follows | Copy code | ||||
{ $content = file_get_contents($filename); return $content; }function fnGetContent($filename) { $content = fnGet($filename); return $content; } $times=100000; echo 'Database query results: '; //-------------------------------- $begin =fnGetMicroTime(); for($i=0;$i<$times;$i++) { $res=$dbcon->mydb_query("SELECT log_Content FROM blog WHERE log_ID='1'"); $row=$dbcon->mydb_fetch_row($res); $content=$row[0]; } echo ' fetch_row '.$times.' times: '.(fnGetMicroTime()-$begin).'seconds '; //- --------------------------------$begin=fnGetMicroTime(); for ($i=0;$i<$times;$i++) { $res=$dbcon->mydb_query("SELECT log_Content FROM blog WHERE log_ID='1'"); $row=$dbcon->mydb_fetch_array($res); $content=$row['log_Content']; } echo 'fetch_array '.$times.' times Time: '.(fnGetMicroTime()-$begin).'Seconds '; //--------- --------------------------$begin=fnGetMicroTime(); for($i=0;$i< ;$times;$i++) { $res=$dbcon->mydb_query("SELECT log_Content FROM blog WHERE log_ID='1'"); $row=$dbcon- >mydb_fetch_object($res); $content=$row->log_Content; } echo 'fetch_object '.$times.' times: '.(fnGetMicroTime()-$begin).'seconds '; //------------------ ---------------$dbcon->mydb_free_results(); $dbcon->mydb_disconnect();fnWriteCache ('test.txt',$content);echo 'Directly read the file test results: ';//--------- -------------------------- $begin=fnGetMicroTime(); for($i=0;$i<$ times;$i++) { $content = fnGetContent('test.txt'); } echo 'file_get_contents read directly'.$times.' times: < ;font color=red>'.(fnGetMicroTime()-$begin).'seconds '; //------------ ---------------------$begin=fnGetMicroTime(); for($i=0;$i<$times ;$i++) { $fname = 'test.txt'; if(file_exists($fname)) { $fp=fopen($fname , "r");//flock($fp,LOCK_EX); fp); } $content = fnGetContent('test.txt'); } echo 'fopen reads directly '.$times.' times: '.(fnGetMicroTime()-$begin).'seconds '; |
Query results for 4K size data:
fetch_row 100000 times: 16.737720012665 seconds
fetch_array 100000 times: 16.661195993423 seconds
fetch_object 100000 times Time: 16.775065898895 seconds
Direct file reading test results:
file_get_contents direct reading 100000 times time: 5.4631857872009 seconds
fopen direct reading 100000 times time: 11.463611125946 seconds
Plastic ID query Result:
fetch_row 100000 times time: 12.812072038651 seconds
fetch_array 100000 times time: 12.667390108109 seconds
fetch_object 100000 times time: 12.9880990 98206 seconds
Read the file directly Test results:
File_get_contents read directly 100000 times time: 5.6616430282593 seconds
fopen read directly 100000 times time: 11.542816877365 seconds
Test conclusion:
1. Reading files directly is more efficient than database query, and the connection and disconnection time is not included in the article.
2. The larger the content read at one time, the more obvious the advantage of reading files directly (the time to read files increases slightly, which is related to the continuity of file storage and cluster size). This result It is exactly the opposite of what Tianyuan expected, indicating that MYSQL may have additional operations for reading larger files (the time increased by nearly 30% twice). If it is just a simple assignment conversion, the difference should be small.
3. Writing files and INSERT can be inferred with almost no testing, and the database efficiency will only get worse.
4. If a small configuration file does not need to use database features, it is more suitable to be stored in a separate file for access. There is no need to create a separate data table or record. Large files such as pictures, music, etc. use files. Storage is more convenient, and it is more reasonable to only put index information such as paths or thumbnails in the database.
5. If you only read files on PHP, file_get_contents is more efficient than fopen and fclose. Excluding the time required to determine the existence of this function, it will take about 3 seconds less.
6. fetch_row and fetch_object should be converted from fetch_array. Tianyuan has not seen the source code of PHP. From the execution alone, it can be seen that fetch_array is more efficient. This seems to be contrary to what is said on the Internet.

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











PHP and Python each have their own advantages, and choose according to project requirements. 1.PHP is suitable for web development, especially for rapid development and maintenance of websites. 2. Python is suitable for data science, machine learning and artificial intelligence, with concise syntax and suitable for beginners.

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.

PHP is a scripting language widely used on the server side, especially suitable for web development. 1.PHP can embed HTML, process HTTP requests and responses, and supports a variety of databases. 2.PHP is used to generate dynamic web content, process form data, access databases, etc., with strong community support and open source resources. 3. PHP is an interpreted language, and the execution process includes lexical analysis, grammatical analysis, compilation and execution. 4.PHP can be combined with MySQL for advanced applications such as user registration systems. 5. When debugging PHP, you can use functions such as error_reporting() and var_dump(). 6. Optimize PHP code to use caching mechanisms, optimize database queries and use built-in functions. 7

PHP is widely used in e-commerce, content management systems and API development. 1) E-commerce: used for shopping cart function and payment processing. 2) Content management system: used for dynamic content generation and user management. 3) API development: used for RESTful API development and API security. Through performance optimization and best practices, the efficiency and maintainability of PHP applications are improved.

PHP and Python each have their own advantages, and the choice should be based on project requirements. 1.PHP is suitable for web development, with simple syntax and high execution efficiency. 2. Python is suitable for data science and machine learning, with concise syntax and rich libraries.

PHP is used to build dynamic websites, and its core functions include: 1. Generate dynamic content and generate web pages in real time by connecting with the database; 2. Process user interaction and form submissions, verify inputs and respond to operations; 3. Manage sessions and user authentication to provide a personalized experience; 4. Optimize performance and follow best practices to improve website efficiency and security.

The future of PHP will be achieved by adapting to new technology trends and introducing innovative features: 1) Adapting to cloud computing, containerization and microservice architectures, supporting Docker and Kubernetes; 2) introducing JIT compilers and enumeration types to improve performance and data processing efficiency; 3) Continuously optimize performance and promote best practices.

PHP is suitable for web development, especially in rapid development and processing dynamic content, but is not good at data science and enterprise-level applications. Compared with Python, PHP has more advantages in web development, but is not as good as Python in the field of data science; compared with Java, PHP performs worse in enterprise-level applications, but is more flexible in web development; compared with JavaScript, PHP is more concise in back-end development, but is not as good as JavaScript in front-end development.
