Affiliation:
1. Forschungszentrum Informatik an der Universität Karlsruhe, Haid-und-Neu-Straβe 10-14. D-7500 Karlsruhe 1
Abstract
The optimization problem discussed in this paper is the translation of an SQL query into an efficient parallel execution plan for a multiprocessor database machine under the performance goal of reduced response times as well as increased throughput in a multiuser environment. We describe and justify the most important research problems which have to be solved to achieve this task, and we explain our approach to solve these problems.
Publisher
Association for Computing Machinery (ACM)
Subject
Information Systems,Software
Cited by
12 articles.
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1. Declarative Sub-Operators for Universal Data Processing;Proceedings of the VLDB Endowment;2023-07
2. Parallel Query Optimization;Encyclopedia of Database Systems;2018
3. Efficient generation of query plans containing group-by, join, and groupjoin;The VLDB Journal;2017-08-17
4. Measuring the Energy Consumption of Massive Data Insertions: An Energy Consumption Assessment of the PL/SQL FOR LOOP and FORALL Methods;2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData);2017-06
5. Parallel Query Optimization;Encyclopedia of Database Systems;2016