Learned cardinalities: Estimating correlated joins with deep learning A Kipf, T Kipf, B Radke, V Leis, P Boncz, A Kemper arXiv preprint arXiv:1809.00677, 2018 | 471 | 2018 |
Query optimization through the looking glass, and what we found running the join order benchmark V Leis, B Radke, A Gubichev, A Mirchev, P Boncz, A Kemper, T Neumann The VLDB Journal 27, 643-668, 2018 | 196 | 2018 |
Cardinality Estimation Done Right: Index-Based Join Sampling. V Leis, B Radke, A Gubichev, A Kemper, T Neumann Cidr, 2017 | 184 | 2017 |
Adaptive optimization of very large join queries T Neumann, B Radke Proceedings of the 2018 International Conference on Management of Data, 677-692, 2018 | 85 | 2018 |
Estimating cardinalities with deep sketches A Kipf, D Vorona, J Müller, T Kipf, B Radke, V Leis, P Boncz, T Neumann, ... Proceedings of the 2019 International Conference on Management of Data, 1937 …, 2019 | 54 | 2019 |
Concurrent online sampling for all, for free A Birler, B Radke, T Neumann Proceedings of the 16th International Workshop on Data Management on New …, 2020 | 13 | 2020 |
Learned cardinalities: estimating correlated joins with deep learning (2018) A Kipf, T Kipf, B Radke, V Leis, P Boncz, A Kemper arXiv preprint arXiv:1809.00677, 2019 | 6 | 2019 |
LinDP++: generalizing linearized DP to crossproducts and non-inner joins B Radke, T Neumann BTW 2019, 57-76, 2019 | 4 | 2019 |
Estimating Cardinalities with Deep Sketches AKDVJM ThomasKipf, B Radke, VLP Boncz, TNA Kemper | | 2019 |
Query Optimization: Exercise B Radke | | 2018 |