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| Title | Pushing the Limits of Tango Archiving System using PostgreSQL and Time Series Databases | |
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| Abstract | The Tango HDB++ project is a high performance event-driven archiving system which stores data with micro-second resolution timestamps, using archivers written in C++. HDB++ supports MySQL/MariaDB and Apache Cassandra backends and has been recently extended to support PostgreSQL and TimescaleDB*, a time-series PostgreSQL extension. The PostgreSQL backend has enabled efficient multi-dimensional data storage in a relational database. Time series databases are ideal for archiving and can take advantage of the fact that data inserted do not change. TimescaleDB has pushed the performance of HDB++ to new limits. The paper will present the benchmarking tools that have been developed to compare the performance of different backends and the extension of HDB++ to support TimescaleDB for insertion and extraction. A comparison of the different supported back-ends will be presented. | |
| Footnotes & References | https://timescale.com | |
| Paper | download WEPHA020.PDF [0.651 MB / 6 pages] | |
| Poster | download WEPHA020_POSTER.PDF [1.609 MB] | |
| Export | download ※ BibTeX ※ LaTeX ※ Text/Word ※ RIS ※ EndNote | |
| Conference | ICALEPCS2019 | |
| Series | International Conference on Accelerator and Large Experimental Physics Control Systems (17th) | |
| Location | New York, NY, USA | |
| Date | 05-11 October 2019 | |
| Publisher | JACoW Publishing, Geneva, Switzerland | |
| Editorial Board | Karen S. White (ORNL, Oak Ridge, TN, USA); Kevin A. Brown (BNL, Upton, NY, USA); Philip S. Dyer (BNL, Upton, NY, USA); Volker RW Schaa (GSI, Darmstadt, Germany) | |
| Online ISBN | 978-3-95450-209-7 | |
| Online ISSN | 2226-0358 | |
| Received | 30 September 2019 | |
| Accepted | 02 November 2019 | |
| Issue Date | 30 August 2020 | |
| DOI | doi:10.18429/JACoW-ICALEPCS2019-WEPHA020 | |
| Pages | 1116-1121 | |
| Copyright |
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