Making Learned Query Optimization Practical: A Technical Perspective

被引：0
|
作者：
Markl, Volker [1 ]
机构：
[1] Tech Univ Berlin, Berlin, Germany
来源：
SIGMOD RECORD | 2022年 / 51卷 / 01期
关键词：
Data set - Execution plans - Foreign keys - Learning methods - Queries optimization - Query expression - Query optimizer - Relational data models - Research communities - Statistical artifacts;
D O I：
10.1145/3542700.3542702
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
(Edited Abstract)
引用
收藏
页码：5 / 5
页数：1
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