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Issue 4
Jul.  2018
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ZHU Shu-xin, LI Yue, YUAN Pei-sen, XU Huan-liang, WANG Kang, XIE Zhong-hong. Data calculation and performance optimization of dairy traceability based on Hadoop/Hive[J]. Journal of East China Normal University (Natural Sciences), 2018, (4): 99-108. doi: 10.3969/j.issn.1000-5641.2018.04.010
Citation: ZHU Shu-xin, LI Yue, YUAN Pei-sen, XU Huan-liang, WANG Kang, XIE Zhong-hong. Data calculation and performance optimization of dairy traceability based on Hadoop/Hive[J]. Journal of East China Normal University (Natural Sciences), 2018, (4): 99-108. doi: 10.3969/j.issn.1000-5641.2018.04.010

Data calculation and performance optimization of dairy traceability based on Hadoop/Hive

doi: 10.3969/j.issn.1000-5641.2018.04.010
  • Received Date: 2017-06-19
  • Publish Date: 2018-07-25
  • In order to enhance the performance of traditional dairy traceability systems for the production data of large-scale enterprise, this paper analyzed the supply chain process of dairy enterprises, key traceability units and traceability information; combining Hadoop/Hive big data technology and distributed database technology, the paper designed and constructed a dairy products traceability framework based on Hadoop/Hive. We built a simulated large-scale data environment and used actual production data to test the system performance. The experimental results showed that after the introduction of the Hadoop/Hive technology system, the average data storage speed, the average data access speed, and the average data exchange rate increased by 87.43%, 27.10% and 58.16%, respectively. The improved traceability system for dairy products is superior to the traditional dairy traceability system in storing and processing large-scale data.
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