海关数据融合性能测试模拟业务对象报文数据集

本数据集是项目组测试人员根据海关数据融合性能测试的需要，仿照公开的海关报关单、舱单、关联关系数据结构，依据报关单（obj1）、舱单（obj7）、关联关系（obj8）之间的关联规则逻辑，以人工维护的方式创建，通过Java程序生成的海关多对象关联数据集，共计3000万条数据，主要包括报关单表头、报关单表体、舱单表头、舱单表体等数据对象及其相关字段属性；通过Java程序执行的方式，将生成的报文以文本流形式写入TXT文件，报文逻辑适配海关海运场景关联业务场景规范。数据集按照TXT格式存储于文件中，支持海关业务对象关联算法验证。

This dataset is a customs multi-object association dataset created manually and generated via Java programs by the testers of the project team. It is designed to meet the needs of performance testing for customs data fusion, following the data structures of publicly available customs declaration forms, manifests, and association relationships, and based on the association rule logic between customs declarations (obj1), manifests (obj7), and association relationships (obj8). The dataset contains a total of 30 million records, mainly including data objects such as customs declaration headers, customs declaration bodies, manifest headers, manifest bodies and their related field attributes. Through the execution of Java programs, the generated messages are written into TXT files as text streams, and the message logic adheres to the specifications of associated business scenarios in customs maritime shipping scenarios. Stored in TXT format, the dataset supports the verification of association algorithms for customs business objects.