大数据视域下Java集合应用研究

Research of Java Collection Application from the Perspective of Big Data

为了提升实际工作过程中数据的存储和处理效率,对不同集合类的特征和应用场景的掌握是非常重要的。本文通过分析集合类的底层存储结构,详细解析了集合类的特征及其应用场景,结合大数据应用之热搜关键字排行给出了具体应用示例。运行结果证明,合理地选用不同的集合类对数据的处理效率起到了至关重要的作用。

In order to improve the data storage and processing efficiency in the actual work process,it is very important to master the characteristics and application scenarios of different collection classes.By analyzing the underlying storage structure of set classes,this paper analyzes the characteristics of set classes and their application scenarios in detail,and gives specific application examples in combination with the hot search keyword ranking of big data application scenarios.The running results show that the reasonable selection of different set classes plays a vital role in the data processing efficiency.