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Efficiently updating a secondary index associated with a log-structured merge-tree database

机译:有效地更新与日志结构的合并树数据库关联的二级索引

摘要

Systems and methods are described herein for efficiently updating a secondary index associated with a log-structured merge-tree (LSM) database. A Global approximate member query (AMQ) Filter is queried to determine whether a primary key, retrieved from a list of LSM database updates, already exists in the LSM database. If the primary key does not already exist in the LSM database then read-before-write and delete operations, typically performed with known approaches, do not need to be performed on the secondary index in order to update the secondary index, thereby avoiding significant additional computer processing and input/output operations.
机译:本文描述了用于有效地更新与日志结构化合并树(LSM)数据库相关联的二级索引的系统和方法。查询全局近似成员查询(AMQ)过滤器以确定从LSM数据库更新列表中检索到的主键是否已存在于LSM数据库中。如果LSM数据库中尚不存在主键,则不需要对辅助索引执行通常通过已知方法执行的先写后读和删除操作,即可更新辅助索引,从而避免了很多额外的操作计算机处理和输入/输出操作。

著录项

  • 公开/公告号US10776345B2

    专利类型

  • 公开/公告日2020-09-15

    原文格式PDF

  • 申请/专利权人 DATASTAX;

    申请/专利号US201815962962

  • 申请日2018-04-25

  • 分类号G06F16/22;G06F16/23;G06F16/24;G06F16/245;

  • 国家 US

  • 入库时间 2022-08-21 11:31:03

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