CAJ | 학술논문

大数据的扩展是分布式非结构化数据库的关键技术， Sharding 碎片技术是水平扩展的一种解决方案，能够有效解决单节点数据库服务器的I/O扩展。对Sharding碎片技术的适用环境进行研究的基础上，给出了一种基于Sharding碎片技术的分布式非结构化数据库系统扩展能力提升方法。经验证，该方法能够有效提升分布式非结构化数据库在非事务型大数据处理中的I/O吞吐能力，显著提升数据库扩展能力。
대수거적확전시분포식비결구화수거고적관건기술， Sharding 쇄편기술시수평확전적일충해결방안，능구유효해결단절점수거고복무기적I/O확전。대Sharding쇄편기술적괄용배경진행연구적기출상，급출료일충기우Sharding쇄편기술적분포식비결구화수거고계통확전능력제승방법。경험증，해방법능구유효제승분포식비결구화수거고재비사무형대수거처리중적I/O탄토능력，현저제승수거고확전능력。
Data expanding is the key technique for distributed and unstructured database .The sharding tech-nique is a horizontal expansion method , which can effectively solve the single-node database server I /O expan-sion.This article researches the applicable environment of sharding technique , and a lifting method based on sharding technique for the automatical extending ability of unstructured distributed database system is introduced . It is proven that the method can effectively enhance distributed and unstructured database's I /O throughput ca-pacity in non-transactional data processing and significantly improve database scalability .