Big Data大数据

SheetJS demonstrated the value of processing large datasets in the web browser and other JavaScript environments. SheetJS libraries have pushed the limits of data processing in the web browser, and some innovations and discoveries have been integrated into the ReactJS framework and other foundational JS libraries.SheetJS展示了在web浏览器和其他JavaScript环境中处理大型数据集的价值。SheetJS库已经突破了web浏览器中数据处理的极限，一些创新和发现已经集成到ReactJS框架和其他基础JS库中。

JS Engines have improved over the years, but there are some hard limits to browser support using traditional methods of data processing. Vendors have introduced APIs and techniques for representing and processing very large binary and textual files.JS引擎经过多年的改进，但使用传统的数据处理方法对浏览器的支持存在一些硬性限制。供应商已经引入了用于表示和处理非常大的二进制和文本文件的API和技术。

Since many of the techniques only work in a few engines, they are not embedded in the library. They are recommended only when traditional approaches falter.由于许多技术只在少数几个引擎中工作，因此它们没有嵌入库中。只有当传统方法出现问题时，才建议使用它们。

• Large Datasets - Dense Mode + Incremental CSV / HTML / JSON Export密集模式+增量CSV/HTML/JSON导出
• Web Workers - Run large data flows without freezing the browser在不冻结浏览器的情况下运行大数据流