With the modern people's dependence on the Internet, the background of the data is increasing, the traditionalSingle database, can not meet the requirements of massive data, distributed database came into beingDistributed databases, however, are not all advantages,Although distributed data is easy to expand, but there are also some other aspects of riskIn the evolution process of the actual distributed data base,Decision makers must be in the economy, performance, securityAnd other aspects to make a trade-off, this article from the perspective of technical debt, combined with the actual situation of Alibaba caseAnalysis of how to measure these advantages and disadvantages, and then is the decision-making optimization, profit maximization.In the course of the study of technical debt, there have been a lot of experimental results, it is difficult for us to knowIts practical utility, from the practical application of Alibaba, to verify and reverse the research results, the real usePractical application to deepen the research resultsThe organizational structure of this paper is as follows: first, we explore what technical debt, and then the evolution process of the Alibaba and his database.This paper focuses on the evolution of the process and the combination of technical debt, focusing on the analysis of the driving force of the most deep structure change, and then calculate theThe most appropriate architecture to change the time point, in the framework of the change in the process of some principles, and ultimately achieve the goal of maximizing the benefits
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