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Key-value stores with optimized merge policies and optimized LSM-tree structures

机译:优化合并策略和优化的LSM树结构的键值存储

摘要

Embodiments of the invention utilize an improved LSM-tree-based key-value approach to strike the optimal balance between the costs of updates and lookups and storage space. The improved approach involves use of a new merge policy that removes merge operations from all but the largest levels of LSM-tree. In addition, the improved approach may include an improved LSM-tree that allows separate control over the frequency of merge operations for the largest level and for all other levels. By adjusting various parameters, such as the storage capacity of the largest level, the storage capacity of the other smaller levels, and/or the size ratio between adjacent levels in the improved LSM-tree, the improved LSM-tree-based key-value approach may maximize throughput for a particular workload.
机译:本发明的实施例利用基于LSM树的键值方法利用改进的基于LSM树的键值方法来击中更新和查找和存储空间成本之间的最佳平衡。 改进的方法涉及使用新的合并策略,该策略删除来自所有LSM树的所有级别的合并操作。 另外,改进的方法可以包括改进的LSM树,其允许单独控制对最大级别的合并操作的频率和所有其他级别。 通过调整各种参数,例如最大级别的存储容量,其他较小级别的存储容量,以及改进的LSM树中的相邻级别之间的尺寸比,基于LSM树的键值改进 方法可以最大限度地提高特定工作负载的吞吐量。

著录项

  • 公开/公告号US11151028B2

    专利类型

  • 公开/公告日2021-10-19

    原文格式PDF

  • 申请/专利权人 STRATOS IDREOS;NIV DAYAN;

    申请/专利号US201916963411

  • 发明设计人 STRATOS IDREOS;NIV DAYAN;

    申请日2019-01-22

  • 分类号G06F12/02;G06F16/22;G06F16/17;

  • 国家 US

  • 入库时间 2022-08-24 21:45:02

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