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Technical Perspective: Revisiting Runtime Dynamic Optimization for Join Queries in Big Data Management Systems
被引:0
|
作者
:
Kipf, Andreas
论文数:
0
引用数:
0
h-index:
0
机构:
Amazon Web Serv, Seattle, WA 98109 USA
Amazon Web Serv, Seattle, WA 98109 USA
Kipf, Andreas
[
1
]
机构
:
[1]
Amazon Web Serv, Seattle, WA 98109 USA
来源
:
SIGMOD RECORD
|
2023年
/ 52卷
/ 01期
关键词
:
Compendex;
D O I
:
10.1145/3604437.3604459
中图分类号
:
TP [自动化技术、计算机技术];
学科分类号
:
0812 ;
摘要
:
Query optimization is the process of finding an efficient query execution plan for a given SQL query. The runtime difference between a good and a bad plan can be tremendous. For example, in the case of TPC-H query 5, a query with 5 joins, the difference between the best and the worst plan is more than 10,000×. Therefore, it is vital to avoid bad plans. The dominating factor which differentiates a good from a bad plan is their join order and whether this join order avoids large intermediate results. © 2023 Association for Computing Machinery. All rights reserved.
引用
收藏
页码:103 / 103
页数:1
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