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Multi-tenant shared storage model combining sparse tables with block table

机译:结合稀疏表和块表的多租户共享存储模型

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Aiming at the low utilization of storage space in traditional single-sparse storage model and the problem of more connections in reconstructing the logical relationship of tenants in the block table storage model, put forward a combination of sparse tables and block table storage model. In the storage model, the attributes in the logic tables provided by the SaaS providers and the attributes in the custom logical tables are mapped into the corresponding sparse tables and the custom attributes of a part of the tenant common data type are stored in the block table, so as to avoid due to the problem of data migration caused by the number of extended columns exceeding the number of sparse tables, the query conversion and query efficiency are optimized through the query rewriter. The experimental results show that the storage model improves storage space utilization and query efficiency compared with the traditional sparse table storage model.
机译:针对传统单稀疏存储模型存储空间利用率低以及在块表存储模型中重构租户逻辑关系时存在更多连接的问题,提出了稀疏表与块表存储模型的结合。在存储模型中,由SaaS提供程序提供的逻辑表中的属性和自定义逻辑表中的属性被映射到相应的稀疏表中,并且部分租户通用数据类型的自定义属性存储在块表中,以避免由于扩展列的数量超过稀疏表的数量而导致的数据迁移问题,通过查询重写器优化了查询转换和查询效率。实验结果表明,与传统的稀疏表存储模型相比,该存储模型提高了存储空间利用率和查询效率。

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