How I Learned to Stop Worrying and Love Re-optimization
© 2019 IEEE. Cost-based query optimizers remain one of the most important components of database management systems for analytic workloads. Though modern optimizers select plans close to optimal performance in the common case, a small number of queries are an order of magnitude slower than they coul...
Main Authors: | Perron, Matthew, Shang, Zeyuan, Kraska, Tim, Stonebraker, Michael |
---|---|
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2021
|
Online Access: | https://hdl.handle.net/1721.1/132279 |
Similar Items
-
How I Learned to Stop Worrying and Love Re-optimization
by: Perron, Matthew, et al.
Published: (2022) -
Decoherence and Ontology (or: How I learned to stop worrying and love FAPP)
by: Wallace, D
Published: (2010) -
How we learnt to stop worrying and love web scraping
by: DeVito, NJ, et al.
Published: (2020) -
Dr. StrangeBox or : how I learned to stop worrying and love urban big box retail
by: Press, Jared Harding
Published: (2013) -
Kindergarden quantum mechanics graduates ...or how I learned to stop gluing LEGO together and love the ZX-calculus
by: Coecke, B, et al.
Published: (2021)