| Hadoop与Spark应用场景研究 |
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| 引用本文： | 冯兴杰,王文超.Hadoop与Spark应用场景研究[J].计算机应用研究,2018,35(9). |
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| 作者姓名： | 冯兴杰 王文超 |
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| 作者单位： | 中国民航大学 计算机科学与技术学院,中国民航大学 计算机科学与技术学院 天津 东丽 |
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| 基金项目： | 国家自然科学基金委员会与中国民用航空局联合基金项目(U1233113)；国家自然科学青年基金(No.61301245, No.61201414) 。 |
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| 摘 要： | Spark的崛起对作为当前最为流行的大数据问题解决方案的Hadoop及其生态系统形成了有力的冲击，甚至一度有人认为Spark有取代Hadoop的趋势，但是因为Hadoop与Spark有着各自不同的特点，使得二者拥有不同的应用场景，从而Spark无法完全取代Hadoop。针对以上问题，我们对Hadoop与Spark的应用场景进行了分析。首先介绍了Hadoop与Spark的相关技术以及各自的生态系统，然后详细分析了二者的特性，最后针对二者特性，阐述了Hadoop与Spark各自所适应的应用场景。
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| 关 键 词： | Hadoop Spark 大数据 生态系统 应用场景 |
| 收稿时间： | 2017/7/5 0:00:00 |
| 修稿时间： | 2018/8/6 0:00:00 |
Survey on Hadoop and Spark application scenarios |
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| Feng Xing jie and Wang Wen Chao.Survey on Hadoop and Spark application scenarios[J].Application Research of Computers,2018,35(9). |
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| Authors: | Feng Xing jie and Wang Wen Chao |
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| Affiliation: | School of computer science and technology,Civil Aviation University of China, |
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| Abstract: | The rise of Spark has a strong impact on Hadoop and its ecological system as two big data problems solutions, even some people think that Spark has the trend to replace Hadoop, but because Hadoop and Spark have different characteristics, so they have different application scenarios, as a result, Spark can not completely replace Hadoop. Based on the above problems, We analyzed the application scenarios of Hadoop and Spark.First introduced the Hadoop and Spark related technologies and their ecosystems, and then detailed analysis of the characteristics of the two, finally for the two characteristics, described the Hadoop and Spark each adapted to the application scenarios. |
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| Keywords: | Hadoop Spark big data ecosystem application scenarios |
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