JDK 26 adds HttpRequest.BodyPublishers.ofFileChannel, letting developers read specific file segments directly from a shared FileChannel without copying data into heap memory, dramatically reducing memory usage and simplifying parallel chunk uploads to object storage such as OSS or S3.
This article explains how to design and implement a high‑availability, extensible large‑file upload API using Spring Boot, MinIO object storage, MySQL, Redis and CDN acceleration, covering chunked upload, resumable transfers, database schema, core endpoints, and performance optimizations.
This guide explains how to overcome large‑file upload limits by splitting files into chunks with Blob.slice, uploading them concurrently from a Vue front‑end, and merging the pieces on a Node.js back‑end using streams, while providing progress tracking and handling Nginx size restrictions.
This article explains the concept of large file upload in front‑end development, outlines the problems it solves, compares it with ordinary uploads, details essential implementation steps such as chunking, parallelism, resume, and integrity checks, and demonstrates practical usage of the enlarge‑file‑upload library across vanilla JavaScript, Vue2, Vue3, and React.
This article explains what constitutes a large file, contrasts its upload challenges with ordinary files, outlines the chunked upload workflow for both front‑end and back‑end, and provides practical code examples and optimization techniques such as resumable uploads, instant upload, progress tracking, and pause/resume functionality.
This article explains what constitutes a large file, contrasts its upload challenges with ordinary files, and provides a complete chunked upload solution—including frontend slicing code, backend merging logic, breakpoint resume, instant transfer, progress handling, and references to mature libraries.
This article explains how to efficiently upload large files (e.g., 1.5 GB) from the browser by calculating a file hash with spark‑md5, checking server status for instant or resumable uploads, slicing the file into chunks, uploading them concurrently, and finally merging the chunks, while also offering optimization tips such as using Web Workers and adjusting chunk size.
This article explains the challenges of uploading large files over 100 MB, compares them with regular uploads, details the core principles and common problems, and presents complete front‑end chunking and back‑end merging implementations with resumable and instant upload techniques, plus mature solution recommendations.
This article explains the technical details of large file chunked uploading, walks through designing a custom TypeScript library for both server and client sides, provides step‑by‑step implementation code, and demonstrates a complete Koa‑React demo, offering developers a ready‑to‑use solution for efficient large file transfers.
This article explores the challenges of uploading massive files from the browser, compares traditional form, iframe, FormData, and base64 methods, and provides detailed JavaScript and PHP examples for implementing chunked uploads, resumable transfers, and progress monitoring.
