The Computational Database for Real World Awareness

Publications

A practical approach to groupjoin and nested aggregates

Auteurs: Philipp Fent, Thomas Neumann
Publié dans: Proceedings of the VLDB Endowment, Numéro 14, 2021, Page(s) 2383-2396, ISSN 2150-8097
Éditeur: VLDB Endowment
DOI: 10.14778/3476249.3476288

User-defined operators: efficiently integrating custom algorithms into modern databases

Auteurs: Moritz Sichert, Thomas Neumann
Publié dans: Proceedings of the VLDB Endowment, Numéro 15, 2022, Page(s) 1119-1131, ISSN 2150-8097
Éditeur: VLDB Endowment
DOI: 10.14778/3510397.3510408

Tidy Tuples and Flying Start: fast compilation and fast execution of relational queries in Umbra

Auteurs: Timo Kersten, Viktor Leis, Thomas Neumann
Publié dans: The VLDB Journal, Numéro 30, 2021, Page(s) 883-905, ISSN 0949-877X
Éditeur: Springer
DOI: 10.1007/s00778-020-00643-4

Adopting worst-case optimal joins in relational database systems

Auteurs: Michael Freitag, Maximilian Bandle, Tobias Schmidt, Alfons Kemper, Thomas Neumann
Publié dans: Proceedings of the VLDB Endowment, Numéro 13/11, 2020, Page(s) 1891-1904, ISSN 2150-8097
Éditeur: VLDB Endowment
DOI: 10.14778/3407790.3407797

Crystal: a unified cache storage system for analytical databases

Auteurs: Dominik Durner, Badrish Chandramouli, Yinan Li
Publié dans: Proceedings of the VLDB Endowment, Numéro 14/11, 2021, Page(s) 2432–2444, ISSN 2150-8097
Éditeur: VLDB Endowment
DOI: 10.14778/3476249.3476292

Everything you always wanted to know about compiled and vectorized queries but were afraid to ask

Auteurs: Timo Kersten, Viktor Leis, Alfons Kemper, Thomas Neumann, Andrew Pavlo, Peter Boncz
Publié dans: Proceedings of the VLDB Endowment, Numéro 11/13, 2018, Page(s) 2209-2222, ISSN 2150-8097
Éditeur: Association for Computing Machinery
DOI: 10.14778/3275366.3275370

JSON Tiles: Fast Analytics on Semi-Structured Data

Auteurs: Dominik Durner, Viktor Leis, Thomas Neumann
Publié dans: SIGMOD/PODS '21: Proceedings of the 2021 International Conference on Management of Data, 2021, Page(s) 445–458
Éditeur: ACM
DOI: 10.1145/3448016.3452809

Profiling dataflow systems on multiple abstraction levels

Auteurs: Alexander Beischl, Timo Kersten, Maximilian Bandle, Jana Giceva, Thomas Neumann
Publié dans: EuroSys '21: Proceedings of the Sixteenth European Conference on Computer Systems, 2021, Page(s) 474–489
Éditeur: ACM
DOI: 10.1145/3447786.3456254

Building Advanced SQL Analytics From Low-Level Plan Operators

Auteurs: André Kohn, Viktor Leis, Thomas Neumann
Publié dans: SIGMOD/PODS '21: Proceedings of the 2021 International Conference on Management of Data, 2021, Page(s) 1001–1013
Éditeur: ACM
DOI: 10.1145/3448016.3457288

Adaptive Execution of Compiled Queries

Auteurs: Andre Kohn, Viktor Leis, Thomas Neumann
Publié dans: 2018 IEEE 34th International Conference on Data Engineering (ICDE), 2018, Page(s) 197-208, ISBN 978-1-5386-5520-7
Éditeur: IEEE
DOI: 10.1109/ICDE.2018.00027

Adaptive Optimization of Very Large Join Queries

Auteurs: Thomas Neumann, Bernhard Radke
Publié dans: Proceedings of the 2018 International Conference on Management of Data - SIGMOD '18, 2018, Page(s) 677-692, ISBN 9781-450347037
Éditeur: ACM Press
DOI: 10.1145/3183713.3183733

LinDP++: Generalizing Linearized DP to Crossproducts and Non-Inner Joins

Auteurs: Bernhard Radke, Thomas Neumann
Publié dans: BTW 2019, 2019, Page(s) 57-76, ISBN 978-3-88579-683-1
Éditeur: Gelesschaft für Informatik
DOI: 10.18420/btw2019-05

DeepSPACE - Approximate Geospatial Query Processing with Deep Learning

Auteurs: Dimitri Vorona, Andreas Kipf, Thomas Neumann, Alfons Kemper
Publié dans: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - SIGSPATIAL '19, 2019, Page(s) 500-503, ISBN 9781-450369091
Éditeur: ACM Press
DOI: 10.1145/3347146.3359112

No False Negatives: Accepting All Useful Schedules in a Fast Serializable Many-Core System

Auteurs: Dominik Durner, Thomas Neumann
Publié dans: 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019, Page(s) 734-745, ISBN 978-1-5386-7474-1
Éditeur: IEEE
DOI: 10.1109/icde.2019.00071

On the Impact of Memory Allocation on High-Performance Query Processing

Auteurs: Dominik Durner, Viktor Leis, Thomas Neumann
Publié dans: Proceedings of the 15th International Workshop on Data Management on New Hardware - DaMoN'19, 2019, Page(s) 1-3, ISBN 9781-450368018
Éditeur: ACM Press
DOI: 10.1145/3329785.3329918

The Power of SQL Lambda Functions

Auteurs: Maximilian Schüle, Dimitri Vorona, Linnea Passing, Harald Lang, Alfons Kemper, Stephan Günnemann, Thomas Neumann
Publié dans: EDBT 2019, 2019, Page(s) 534-537
Éditeur: EDBT
DOI: 10.5441/002/edbt.2019.49

On another level - how to debug compiling query engines

Auteurs: Timo Kersten, Thomas Neumann
Publié dans: Proceedings of the workshop on Testing Database Systems, 2020, Page(s) 1-6, ISBN 9781-450380010
Éditeur: ACM
DOI: 10.1145/3395032.3395321

Low-Latency Communication for Fast DBMS Using RDMA and Shared Memory

Auteurs: Philipp Fent, Alexander van Renen, Andreas Kipf, Viktor Leis, Thomas Neumann, Alfons Kemper
Publié dans: 2020 IEEE 36th International Conference on Data Engineering (ICDE), 2020, Page(s) 1477-1488, ISBN 978-1-7281-2903-7
Éditeur: IEEE
DOI: 10.1109/ICDE48307.2020.00131

START — Self-Tuning Adaptive Radix Tree

Auteurs: Philipp Fent, Michael Jungmair, Andreas Kipf, Thomas Neumann
Publié dans: 2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW), 2020, Page(s) 147-153, ISBN 978-1-7281-4266-1
Éditeur: IEEE
DOI: 10.1109/ICDEW49219.2020.00015

Scalable and robust latches for database systems

Auteurs: Jan Böttcher, Viktor Leis, Jana Giceva, Thomas Neumann, Alfons Kemper
Publié dans: DaMoN '20: Proceedings of the 16th International Workshop on Data Management on New Hardware, 2020
Éditeur: ACM
DOI: 10.1145/3399666.3399908

To Partition, or Not to Partition, That is the Join Question in a Real System

Auteurs: Maximilian Bandle, Jana Giceva, Thomas Neumann
Publié dans: SIGMOD/PODS '21: Proceedings of the 2021 International Conference on Management of Data, 2021, Page(s) 168–180
Éditeur: ACM
DOI: 10.1145/3448016.3452831

Self-Tuning Query Scheduling for Analytical Workloads

Auteurs: Benjamin Wagner, André Kohn, Thomas Neumann
Publié dans: SIGMOD/PODS '21: Proceedings of the 2021 International Conference on Management of Data, 2021, Page(s) 1879-1891
Éditeur: ACM
DOI: 10.1145/3448016.3457260

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