Abstract
In this paper, we present some insights from the analysis of the drawbacks of the advanced concurrency control techniques. Based on the analysis, we reveal that a commonly used technique for index structures, read-copy update (RCU), has the most significant impact on the throughput and latency of in-memory database systems. For overcoming the drawbacks, we developed Glasstree, a new index structure that produces a smaller load on the memory allocator by enhancing Masstree. Glasstree achieved high throughput and stable latency than Masstree under various workloads.
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Notes
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The commit ID of git used in our evaluation is 15edde0.
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Mitake, H., Yamada, H., Nakajima, T. (2020). A Highly Scalable Index Structure for Multicore In-Memory Database Systems. In: Kotenko, I., Badica, C., Desnitsky, V., El Baz, D., Ivanovic, M. (eds) Intelligent Distributed Computing XIII. IDC 2019. Studies in Computational Intelligence, vol 868. Springer, Cham. https://doi.org/10.1007/978-3-030-32258-8_25
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DOI: https://doi.org/10.1007/978-3-030-32258-8_25
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