1.1.0 • Published 9 months ago

jyf-largefile-crafter v1.1.0

Weekly downloads
-
License
MIT
Repository
github
Last release
9 months ago

JyfLargefileCrafter: A Comprehensive Solution for Handling Large Files

The JyfLargefileCrafter is a robust and efficient JavaScript library designed to facilitate the reading and processing of large files in web applications. It provides a streamlined approach to manage and read large files in chunks, preventing memory overload and ensuring smooth performance.

JyfLargefileCrafter:处理大型文件的综合解决方案

JyfLargefileCrafter 是一个强大且高效的 JavaScript 库,旨在方便 Web 应用程序中大型文件的读取和处理。它提供了一种简化的方法来管理和分块读取大型文件,防止内存溢出,确保流畅的性能。

CommonJS

// Require the JyfLargefileCrafter module
const JyfLargefileCrafter = require('JyfLargefileCrafter');

// Create an instance of fileReader
const reader = new JyfLargefileCrafter.fileReader();

// Use the reader to process a file
reader.readAsText(file, (data) => {
  console.log(data);
});

AMD

// Define the module and its dependencies
define(['JyfLargefileCrafter'], function(JyfLargefileCrafter) {
  // Create an instance of fileReader
  const reader = new JyfLargefileCrafter.fileReader();

  // Use the reader to process a file
  reader.readAsText(file, (data) => {
    console.log(data);
  });
});

Browser

<!-- Include the JyfLargefileCrafter script -->
<script src="JyfLargefileCrafter.js"></script>
<script>
  // Create an instance of fileReader
  const reader = new JyfLargefileCrafter.fileReader();

  // Use the reader to process a file
  reader.readAsText(file, (data) => {
    console.log(data);
  });
</script>

Key Features:

  • Multi-File Support: Capable of reading multiple files simultaneously, making it ideal for applications that require batch processing of large datasets.
  • Memory Efficiency: Files are divided into manageable pieces, which are read in increments to avoid lagging and excessive memory consumption.
  • Progress Tracking: Keeps track of the progress for each individual file as well as the overall progress, providing real-time feedback on the status of file processing.
  • Line-by-Line Processing: For text files, JyfLargefileCrafter can process each line of text as it is read, allowing for immediate data handling and analysis.
  • Flexible Reading Modes: Supports reading files as text, binary strings, or ArrayBuffer, catering to various data processing needs.
  • Customizable Chunk Size: Users can specify the size of each chunk, giving control over memory usage and processing speed.
  • Integrated Progress Bar: Comes with an HTML5 progress element to visually display the current progress of file reading, enhancing user experience.

How It Works:

  • Initialize a JyfLargefileCrafter object.
  • Use the readAsText, readAsBinaryString, or readAsArrayBuffer methods to read files in chunks.
  • Process the data with a callback function provided for each chunk.
  • Monitor progress through the integrated progress bar or via the progress tracking methods.

Use Cases:

  • Data analysis tools that require reading large datasets.
  • Web applications that need to handle user-uploaded large files.
  • Content management systems dealing with large text or binary files.

主要特点:

  • 多文件支持: 能够同时读取多个文件,非常适合需要批量处理大型数据集的应用程序。
  • 内存效率: 文件被分成可管理的小块,以增量方式读取,避免延迟和过度的内存消耗。
  • 进度跟踪: 跟踪每个单独文件以及整体进度,提供文件处理状态的实时反馈。
  • 逐行处理: 对于文本文件,JyfLargefileCrafter 可以处理读取的每一行文本,允许立即进行数据处理和分析。
  • 灵活的读取模式: 支持将文件读取为文本、二进制字符串或 ArrayBuffer,满足各种数据处理需求。
  • 可定制的块大小: 用户可以指定每个块的大小,控制内存使用和处理速度。
  • 集成进度条: 附带 HTML5 进度元素,直观显示文件读取的当前进度,增强用户体验。

工作原理:

  • 初始化一个 JyfLargefileCrafter 对象。
  • 使用 readAsTextreadAsBinaryStringreadAsArrayBuffer 方法分块读取文件。
  • 使用为每个块提供的回调函数处理数据。
  • 通过集成的进度条或进度跟踪方法监控进度。

用例:

  • 需要读取大型数据集的数据分析工具。
  • 需要处理用户上传的大型文件的 Web 应用程序。
  • 处理大型文本或二进制文件的内容管理系统。