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杂七杂八的,随手记录。

Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia

本文为摘录(或转载),侵删,原文为: attachments/pdf/f/p1714-kossmann.pdf

对目前的架构来讲,和 粗糙索引 作用重叠。。

1 ABSTRACT

  • ARF: Adaptive Range Filter, 自适应范围过滤器
  • ARF is for Range queries, while
  • BloomFilter is for Point queries

2 INTRODUCTION

3 APPLICATION EXAMPLE

3.1 Project Siberia

  • Siberia 是 Hekaton 项目用于管理冷数据的一个项目
    • Hekaton 则是 SQL Server 套件中的内存数据库
  • 查询处理

All Major C++17 Features You Should Know

ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

本文为摘录(或转载),侵删,原文为: attachments/pdf/2/p752-zhu.pdf

1 ABSTRACT

  • we compare the effectiveness of CardEst methods in a real DBMS

  • We establish a new benchmark for CardEst, which:

    • contains a new complex realworld dataset STATS and
    • a diverse query workload STATS-CEB.
  • We integrate multiple most representative CardEst methods into PostgreSQL,

cgroup memo

1 Threads (Tasks (threads) versus processes)

cgroup v1 可以单独操作进程中的线程, man cgroups :

In cgroups v1, a distinction is drawn between processes and tasks. In this view, a process can con‐ sist of multiple tasks (more commonly called threads, from a user-space perspective, and called such in the remainder of this man page). In cgroups v1, it is possible to independently manipulate the cgroup memberships of the threads in a process.

Chimp: Efficient Lossless Floating Point Compression for Time Series Databases

本文为摘录(或转载),侵删,原文为: attachments/pdf/1/p3058-liakos.pdf

1 ABSTRACT

  • 时序数据难以高效存储,导致存储代价高昂。