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随着大数据时代的到来,关系图的规模日益扩大,其数据更新更是频繁,高效的存储系统成为图数据处理的必需。设计了面向大规模关系图的存储系统,在充分考虑了关系图和物理存储介质的特点之后,设计支持复杂访问操作的关系图存储方式,均衡的图分割模式以及用于支持高效访问的图索引,同时支持对单向关系的反向查询,实验结果表明,该存储框架能够满足对关系图处理的读写性能需求。
With the advent of the era of big data, the scale of the relationship chart is expanding day by day. Data updates are more frequent and efficient storage systems become necessary for data processing. After designing the storage system for large-scale relational graph, the paper designs the relational graph storage method that supports complex access operations, the balanced graph partitioning mode, and the graph index to support efficient access after fully considering the characteristics of the relational graph and physical storage media , While supporting the one-way reverse query, the experimental results show that the storage framework to meet the read and write performance requirements of the relationship diagram processing.