The Computational Database for Real World Awareness

Project Information

CompDB

Grant agreement ID: 725286

DOI

10.3030/725286

Project closed

EC signature date 11 January 2017

Start date 1 June 2017

End date 31 May 2022

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 1 918 750,00

EU contribution

€ 1 918 750,00

Coordinated by

TECHNISCHE UNIVERSITAET MUENCHEN
Germany

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (6)

A practical approach to groupjoin and nested aggregates

Author(s): Philipp Fent, Thomas Neumann
Published in: Proceedings of the VLDB Endowment, Issue 14, 2021, Page(s) 2383-2396, ISSN 2150-8097
Publisher: VLDB Endowment
DOI: 10.14778/3476249.3476288

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

Author(s): Moritz Sichert, Thomas Neumann
Published in: Proceedings of the VLDB Endowment, Issue 15, 2022, Page(s) 1119-1131, ISSN 2150-8097
Publisher: VLDB Endowment
DOI: 10.14778/3510397.3510408

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

Author(s): Timo Kersten, Viktor Leis, Thomas Neumann
Published in: The VLDB Journal, Issue 30, 2021, Page(s) 883-905, ISSN 0949-877X
Publisher: Springer
DOI: 10.1007/s00778-020-00643-4

Adopting worst-case optimal joins in relational database systems

Author(s): Michael Freitag, Maximilian Bandle, Tobias Schmidt, Alfons Kemper, Thomas Neumann
Published in: Proceedings of the VLDB Endowment, Issue 13/11, 2020, Page(s) 1891-1904, ISSN 2150-8097
Publisher: VLDB Endowment
DOI: 10.14778/3407790.3407797

Crystal: a unified cache storage system for analytical databases

Author(s): Dominik Durner, Badrish Chandramouli, Yinan Li
Published in: Proceedings of the VLDB Endowment, Issue 14/11, 2021, Page(s) 2432–2444, ISSN 2150-8097
Publisher: VLDB Endowment
DOI: 10.14778/3476249.3476292

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

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

Conference proceedings (16)

JSON Tiles: Fast Analytics on Semi-Structured Data

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

Profiling dataflow systems on multiple abstraction levels

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

Building Advanced SQL Analytics From Low-Level Plan Operators

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

Adaptive Execution of Compiled Queries

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

Adaptive Optimization of Very Large Join Queries

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

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

Author(s): Bernhard Radke, Thomas Neumann
Published in: BTW 2019, 2019, Page(s) 57-76, ISBN 978-3-88579-683-1
Publisher: Gelesschaft für Informatik
DOI: 10.18420/btw2019-05

DeepSPACE - Approximate Geospatial Query Processing with Deep Learning

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

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

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

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

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

The Power of SQL Lambda Functions

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

On another level - how to debug compiling query engines

Author(s): Timo Kersten, Thomas Neumann
Published in: Proceedings of the workshop on Testing Database Systems, 2020, Page(s) 1-6, ISBN 9781-450380010
Publisher: ACM
DOI: 10.1145/3395032.3395321

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

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

START — Self-Tuning Adaptive Radix Tree

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

Scalable and robust latches for database systems

Author(s): Jan Böttcher, Viktor Leis, Jana Giceva, Thomas Neumann, Alfons Kemper
Published in: DaMoN '20: Proceedings of the 16th International Workshop on Data Management on New Hardware, 2020
Publisher: ACM
DOI: 10.1145/3399666.3399908

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

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

Self-Tuning Query Scheduling for Analytical Workloads

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