


How to implement non-relational database operations using PHP and MongoDB
With the development of the Internet, the amount of data has increased dramatically, and traditional relational databases can no longer fully meet the needs of data processing. As a new database technology, non-relational database (NoSQL) can better handle massive data and high concurrent access situations. Among them, MongoDB, as one of the representatives of Nosql, supports dynamic data schema, high scalability, high availability and high performance, and is especially suitable for object-oriented development models. This article will introduce how to use PHP and MongoDB to implement non-relational database operations.
1. Install MongoDB and PHP extensions
Before using MongoDB, you first need to install the MongoDB service and the corresponding PHP extension. For the installation of MongoDB, please refer to the official documentation and will not go into details here. The installation of PHP extension can be carried out through the following steps:
- Download PHP extension: Download the source code of the corresponding version of the MongoDB extension (https://pecl.php.net/package/mongodb) from the PECL official website, and Unzip.
-
Compile PHP extension: Enter the source code folder on the command line and execute the following command:
phpize ./configure make make install
Copy after login Configure the php.ini file: Find php.ini file and add the following content:
extension=mongodb.so
Copy after loginRestart the PHP service: Restart the PHP service to make the configuration take effect. The command method varies according to different systems, such as:
systemctl restart php-fpm
Copy after login
2. Connect to MongoDB database
Connecting to MongoDB database requires the use of the PHP driver provided by MongoDB. The specific operations are as follows:
Create a connection: Use the MongoClient class to create a connection , the parameters of its constructor are the IP address and port number of the MongoDB service.
$client = new MongoClient("mongodb://127.0.0.1:27017");
Copy after loginSelect database: Use the selectDB method to select the database to operate.
$db = $client->selectDB('test');
Copy after login
3. Insert data
MongoDB supports data storage in JSON format, so inserting data can convert the data into JSON format. The specific operations are as follows:
Create document: Use MongoDB's document class MongoDBBSONDocument to create a document object.
$doc = new MongoDBBSONDocument([ 'name' => '张三', 'age' => 20, 'sex' => '男', 'address' => '北京市', ]);
Copy after loginInsert data: Use the insertOne method of MongoDB's collection class MongoCollection to insert data.
$collection = $db->selectCollection('users'); $collection->insertOne($doc);
Copy after login
4. Query data
MongoDB supports a variety of powerful query and aggregation operations. The specific operations are as follows:
Query documents: Use the find method to query documents, where the first parameter is the query condition, and the second parameter is optional, such as querying specified fields, sorting, etc.
$collection = $db->selectCollection('users'); $cursor = $collection->find([ 'age' => ['$gt' => 18] ], [ 'projection' => ['name' => 1, 'age' => 1], 'sort' => ['age' => 1], ]); foreach ($cursor as $doc) { echo $doc['name'] . ' ' . $doc['age'] . " "; }
Copy after loginAggregation operation: Use aggregation methods, such as aggregate method, to perform multi-level aggregation calculations to achieve complex query requirements.
$collection = $db->selectCollection('users'); $cursor = $collection->aggregate([ ['$match' => ['age' => ['$gt' => 18]]], ['$group' => [ '_id' => '$sex', 'count' => ['$sum' => 1] ]], ['$sort' => ['count' => -1]], ]); foreach ($cursor as $doc) { echo $doc['_id'] . ' ' . $doc['count'] . " "; }
Copy after login
5. Update and delete data
MongoDB supports single and batch update and delete operations. The specific operations are as follows:
Single update: Use the updateOne method to update a single piece of data, where the first parameter is the query condition and the second parameter is the data to be updated.
$collection = $db->selectCollection('users'); $collection->updateOne( ['name' => '张三'], ['$set' => ['age' => 21]] );
Copy after loginMultiple updates: Use the updateMany method to update data in batches.
$collection = $db->selectCollection('users'); $collection->updateMany( ['sex' => '男'], ['$inc' => ['age' => 1]] );
Copy after loginSingle deletion: Use the deleteOne method to delete a single piece of data, where the first parameter is the query condition.
$collection = $db->selectCollection('users'); $collection->deleteOne(['name' => '张三']);
Copy after loginMultiple deletions: Use the deleteMany method to delete data in batches.
$collection = $db->selectCollection('users'); $collection->deleteMany(['sex' => '男']);
Copy after login
6. Summary
The above is a basic introduction to using PHP and MongoDB to implement non-relational database operations. The specific implementation methods of different business scenarios may be different. Readers It can be adjusted and expanded according to the actual situation. MongoDB provides a rich set of operating APIs and aggregation methods to better meet complex business needs.
The above is the detailed content of How to implement non-relational database operations using PHP and MongoDB. For more information, please follow other related articles on the PHP Chinese website!

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 is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

When developing an e-commerce website, I encountered a difficult problem: how to provide users with personalized product recommendations. Initially, I tried some simple recommendation algorithms, but the results were not ideal, and user satisfaction was also affected. In order to improve the accuracy and efficiency of the recommendation system, I decided to adopt a more professional solution. Finally, I installed andres-montanez/recommendations-bundle through Composer, which not only solved my problem, but also greatly improved the performance of the recommendation system. You can learn composer through the following address:

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

PHPhassignificantlyimpactedwebdevelopmentandextendsbeyondit.1)ItpowersmajorplatformslikeWordPressandexcelsindatabaseinteractions.2)PHP'sadaptabilityallowsittoscaleforlargeapplicationsusingframeworkslikeLaravel.3)Beyondweb,PHPisusedincommand-linescrip

PHP is suitable for web development and content management systems, and Python is suitable for data science, machine learning and automation scripts. 1.PHP performs well in building fast and scalable websites and applications and is commonly used in CMS such as WordPress. 2. Python has performed outstandingly in the fields of data science and machine learning, with rich libraries such as NumPy and TensorFlow.

What’s still popular is the ease of use, flexibility and a strong ecosystem. 1) Ease of use and simple syntax make it the first choice for beginners. 2) Closely integrated with web development, excellent interaction with HTTP requests and database. 3) The huge ecosystem provides a wealth of tools and libraries. 4) Active community and open source nature adapts them to new needs and technology trends.

PHP is a server-side scripting language used for dynamic web development and server-side applications. 1.PHP is an interpreted language that does not require compilation and is suitable for rapid development. 2. PHP code is embedded in HTML, making it easy to develop web pages. 3. PHP processes server-side logic, generates HTML output, and supports user interaction and data processing. 4. PHP can interact with the database, process form submission, and execute server-side tasks.
