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Tenant Oriented Lock Concurrency Control in the Shared Storage Multi-tenant Database

机译:共享存储多租户数据库中的面向租户的锁并发控制

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SaaS provides multi-tenant technology allowing database to share storage but coming with irregular load, untraceable transaction characteristics and so on. Lock technology is important to ensure transaction concurrency control, but if multi-tenant database uses traditional granularity database locks, it will cause numerous problems because of the untraceable transaction characteristics and other reasons. To satisfy requirements in multi-tenant database, we propose TOL mechanism. It provides a lock of one granularity between the upper coarse-grained granularity and the lower fine-grained granularity for each tenant. Then we establish the transaction model of multi-tenant database to give comprehensive analysis of the transaction conflict, deadlock, and throughput and lock number of TOL. Meanwhile, Cluster and Diffusion methods are proposed to support the granularity adjustment for a single tenant. Combined with the analysis in the transaction model, a lock granularity adjustment strategy is built. It focuses on evaluating an approximate suitable granularity for one tenant between upper coarse-grained and lower fine-grained. In addition, we give experiments indicating that the performance of TOL is excellent and the lock granularity adjustment algorithm is feasible.
机译:SaaS提供了多租户技术,允许数据库共享存储,但负载不规则,交易特性无法追踪等。锁定技术对于确保事务并发控制很重要,但是如果多租户数据库使用传统的粒度数据库锁定,则由于不可追踪的事务特性和其他原因,它将导致许多问题。为了满足多租户数据库的需求,我们提出了TOL机制。对于每个租户,它在较高的粗粒度和较低的细粒度之间提供了一个粒度锁定。然后建立多租户数据库的事务模型,对事务冲突,死锁,TOL的吞吐量和锁数进行综合分析。同时,提出了聚类和扩散方法来支持单个租户的粒度调整。结合交易模型中的分析,建立了锁定粒度调整策略。它着重于评估上部粗粒度和下部细粒度之间一个租户的近似合适粒度。另外,我们给出的实验表明,TOL的性能非常好,并且锁粒度调整算法是可行的。

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