IP non-equivalent association optimization method based on distributed database

The invention provides an IP non-equivalent association optimization method based on a distributed database, belongs to the technical field of data optimization, and aims to provide an optimization scheme aiming at dictionary data matching operation scenes such as massive operator-based IP data association address fields and the like. Comprising the steps of splitting an IP dictionary table, constructing an equivalence relation, obtaining an optimal scheme according to methods such as equivalence matching and non-equivalence matching, and verification test optimization is obviously improved. 本发明提供一种基于分布式数据库的IP非等值关联优化的方法，属于数据优化技术领域，本发明针对海量基于运营商的IP数据关联地址段等字典数据匹配运算场景提出的优化方案，依据数据分布特性逐步尝试降笛卡尔，包括拆分IP字典表、构建等值关系、依据先等值匹配后非等值匹配等办法得到最优方案，验证测试优化提升明显。