Application of join algorithm in coal mine safety productio
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摘要: 分析了影响煤矿安全生产的因素,引入大数据技术对煤矿安全生产数据进行分析;提出了一种基于Bloom过滤器的星型连接算法,用于处理大数据分析过程中多表连接问题。试验结果表明,与传统算法相比,该算法能在空间和时间上提高采用大数据技术分析煤矿安全生产数据的效率。Abstract: The paper analyzed influence factors of coal mine safety production, and introduced large data technology to analyze data of coal mine safety production. It also put forward a star join algorithm based on Bloom filter to deal with the problems of multi-table connection in process of large data analysis. The experimental results show that the algorithm can improve efficiency of using large data to analyze coal mine safety production data in space and time compared with the traditional algorithm.
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Key words:
- coal mine safety /
- join algorithm /
- large data /
- Bloom filter /
- MapReduce
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