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Technical Articles

Database

How to configure MongoDB support for PHP environment Settings for PHP connection to Mongo database

To configure the PHP environment to support MongoDB, the core step is to install and enable the PHP driver of MongoDB to enable the PHP application to communicate with the MongoDB database. 1. Install MongoDBPHP driver, it is recommended to use PECL to install. If there is no PECL, you need to first install the PHP development package and related compilation tools; 2. Edit the php.ini file and add extension=mongodb.so (or .dll) to enable the extension; 3. Restart the web server or PHP-FPM service to make the configuration take effect; 4. Verify whether the extension is loaded successfully through phpinfo() or php-m. Frequently asked questions include missing PECL commands, compilation errors, php.ini

Jul 23, 2025 pm 06:54 PM

mysql php centos composer php7 windows apache nginx mongodb

How does Oracle support JSON data types and operations?

OraclesupportsJSONdatatypesandoperationssinceOracle12c,enablingefficientstorage,querying,andmanipulationofsemi-structureddatawithinarelationalSQLenvironment.1.JSONdataisstoredusingVARCHAR2,CLOB,orBLOBtypeswithacheckconstraint(ISJSON)toensurevalidity.

Jul 21, 2025 am 03:42 AM

Go with NoSQL Databases: MongoDB, Cassandra, DynamoDB

MongoDB is suitable for flexible data models and strongly consistent query scenarios, such as CMS and logging systems. It is recommended to design the document structure reasonably and use replica sets; Cassandra is good at distributed writing and high availability, suitable for time series and message queues, and table structures need to be designed around query patterns; DynamoDB is a fully managed solution on AWS, suitable for mobile backend and prototype development. It is recommended to optimize primary key design and utilize automatic expansion functions.

Jul 21, 2025 am 12:37 AM

mongodb nosql database

Leveraging MySQL JSON Functions for Querying and Manipulation

MySQL supports JSON data types and functions, making processing semi-structured data more efficient. 1. Common functions include JSON_EXTRACT() to extract values, JSON_UNQUOTE() to dequote marks, JSON_SET()/REPLACE()/REMOVE() to modify content, and JSON_CONTAINS() to check existence. 2. When querying JSON fields, JSON_EXTRACT or JSON_CONTAINS can be used, but to improve performance, columns and indexes should be generated. 3. Use JSON_SET to add or update fields, JSON_REPLACE only updates existing fields, and JSON_REMOVE deletes words

Jul 21, 2025 am 12:31 AM

Building Serverless Frontend Applications

The core of front-end applications using Serverless architecture lies in static resource hosting and back-end on-demand calls. The key points include: 1. Deploy static resources to CDN, automatically build and deploy through AWSS3, Vercel, Netlify and other platforms, and reasonably configure cache policies; 2. Back-end functions are implemented by cloud functions, such as AWSLambda and CloudflareWorkers, which handle database access, email sending, image cropping and other tasks, and trigger the return of JSON data with HTTP requests; 3. Use Serverless databases such as Supabase, DynamoDB, PlanetScale and other serverless databases or low-code solutions to manage data, directly through the API or

Jul 20, 2025 am 04:11 AM

MySQL X DevAPI for Modern Application Development

To connect to MySQL using XDevAPI, XPlugin is required, and URI or configuration object connection is used through supported programming languages (such as Python, Node.js, Java). The sample code is importmysqlx and calls the get_session method; when using document storage, JSON data is operated through "collections", without predefined structures; relational data operations are querying table data through method chains; during development, you need to pay attention to driver version, port, index and session management issues.

Jul 18, 2025 am 01:21 AM

SQL JSON Functions: Parsing and Generating JSON Data

SQL provides a variety of functions to parse, generate and modify JSON data, which is suitable for processing API interfaces, log data and other scenarios. 1. You can use JSON_EXTRACT (MySQL) or ->, ->> (PostgreSQL) and other functions to extract JSON to pay attention to the correctness of the path; 2. Convert SQL data to JSON to JSON to use JSON_OBJECT (MySQL) or ROW_TO_JSON, JSON_AGG (PostgreSQL) to facilitate the construction of API response; 3. Modify JSON content by JSON_SET, JSON_REPLACE (MySQL) or jsonb_set (Pos)

Jul 17, 2025 am 01:15 AM

How Foreign Keys Maintain Referential Integrity in SQL?

ForeignkeysenforcereferentialintegrityinSQLdatabasesbyensuringvalidrelationshipsbetweentables.Theypreventinvaliddataentries,suchasordersfornon-existentcustomers,andblockdeletionsorupdatesthatwouldleaveorphanedrecords.Foreignkeyconstraintsautomaticall

Jul 16, 2025 am 03:46 AM

Key Benefits of Learning PHP Today

Yes,PHPisstillworthlearningin2024forwebdevelopment.1)Ithasamatureecosystemwithextensivedocumentation,communitysupport,andpowersover40%ofwebsitesviaWordPress.2)FrameworkslikeLaravel,Symfony,andCodeIgniterstreamlinemoderndevelopment.3)It’sbeginner-frie

Jul 16, 2025 am 02:58 AM

php java

H5 IndexedDB for Offline Synchronization Solutions

IndexedDB is a NoSQL database built in the browser, which supports storing a large amount of structured data and implementing offline synchronization. 1. It stores data in the form of key-value pairs, supporting transactions, indexes and asynchronous operations; 2. Core concepts include databases, object warehouses, indexes and transactions; 3. Offline synchronization process includes local temporary storage changes, monitoring network status, and uploading data after recovery; 4. Precautions include version control, asynchronous processing, compatibility and storage restrictions; 5. Conflict resolution can be done by timestamps, version numbers or manual intervention.

Jul 16, 2025 am 02:27 AM

Go for CQRS Pattern Implementation

The CQRS mode is suitable for scenarios where read and write ratios are imbalanced, query complex, obvious performance bottlenecks, and requires high scalability. Its structure is divided into command side to process write operations and business logic, and query side to provide optimized read views. The two can be synchronized through different storages using event bus and other mechanisms. When implementing, you need to pay attention to consistency delay, operation and maintenance complexity, over-design risks and debugging difficulties. It is recommended to gradually promote it from a small-scale pilot.

Jul 16, 2025 am 01:55 AM

What are the different SQL normalization forms (1NF, 2NF, 3NF)

Normalizationinrelationaldatabasesfollowsthreekeysteps—1NF,2NF,and3NF—toreduceredundancyandimprovedataintegrity.First,1NFeliminatesrepeatinggroupsbyensuringeachcolumncontainsonlyatomicvaluesandeachrecordisuniquelyidentifiable.Second,2NFremovespartial

Jul 15, 2025 am 02:55 AM

How to Install MongoDB on Rocky Linux and AlmaLinux

MongoDB is a high-performance, highly scalable document-oriented NoSQL database built to manage heavy traffic and vast amounts of data. Unlike traditional SQL databases that store data in rows and columns within tables, MongoDB structures data in a J

Jul 12, 2025 am 09:29 AM

Developing REST APIs with Python Django or FastAPI

Django is suitable for projects that require clear structure and full functionality, while FastAPI is more suitable for scenarios that pursue high performance and modern architectures. 1. Django is mature and stable, with a built-in ORM and Admin interface, suitable for data-driven projects and medium- and large-scale teams; 2. FastAPI is light and efficient, supports asynchronous and automatic document generation, suitable for high-concurrency tasks and microservice architectures; 3. If you already have a Django ecosystem or need back-end management, choose Django DRF; 4. If you focus on performance, development efficiency and modern syntax, it is recommended to choose FastAPI.

Jul 12, 2025 am 02:53 AM