Concurrency control and recovery in database systems
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Algorithms for scalable synchronization on shared-memory multiprocessors
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Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles
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Modern implementations of DBMS software are intended to take advantage of high core counts that are becoming common in high-end servers. However, we have observed that several database platforms, including MySQL, Shore-MT, and a commercial system, exhibit throughput collapse as load increases, even for a workload with little or no logical contention for locks. Our analysis of MySQL identifies latch contention within the lock manager as the bottleneck responsible for this collapse. We design a lock manager with reduced latching, implement it in MySQL, and show that it avoids the collapse and generally improves performance. Our efficient implementation of a lock manager is enabled by a staged allocation and de-allocation of locks. Locks are pre-allocated in bulk, so that the lock manager only has to perform simple list-manipulation operations during the acquire and release phases of a transaction. De-allocation of the lock data-structures is also performed in bulk, which enables the use of fast implementations of lock acquisition and release, as well as concurrent deadlock checking.