随着现代人类对互联网的依赖，后台的数据日益剧增，传统的单机数据库，无法

随着现代人类对互联网的依赖，后台的数据日益剧增，传统的
单机数据库，无法满足对海量数据的要求，分布式数据库应运而生
然而分布式数据库并非全是优点，

分布式数据虽然容易拓展，但是在其他方面也存在一些风险
在实际的分布式数据数据库的演进过程中，
决策者必须在经济、性能、安全性
等方面做出权衡，本文从技术债务的角度，结合案例阿里巴巴的实际情况
分析如何衡量这些利弊，进而是决策最优化，利润最大化。


在技术债务的探讨过程中，已经有很多的基于实验的研究结果，我们很难知道
其实际效用，本从用阿里巴巴实际的应用中，去验证和反推研究成果，真正做到用
实际应用去加深研究结果

本文的组织结构如下：首先探究什么技术债务，然后是阿里巴巴和他的数据库演进过程
本文重点体现在演进过程与技术债务的结合，着重分析架构变更最深处的驱动力，进而推算出
最合适的架构变更时间点，在架构变更过程中一些原则，最终实现利益最大化的目标

結果 (中文) 3:

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