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RIS citation export for THMBCMO01: New Developements on HDB++, the High-performance Data Archiving for Tango Controls

TY  - CONF
AU  - Lacoste, D.
AU  - Bourtembourg, R.
AU  - Forsberg, J.
AU  - Juerges, T.
AU  - Mol, J.J.D.
AU  - Pivetta, L.
AU  - Rubio-Manrique, S.
AU  - Scalamera, G.
ED  - Schaa, Volker RW
ED  - Götz, Andy
ED  - Venter, Johan
ED  - White, Karen
ED  - Robichon, Marie
ED  - Rowland, Vivienne
TI  - New Developements on HDB++, the High-performance Data Archiving for Tango Controls
J2  - Proc. of ICALEPCS2023, Cape Town, South Africa, 09-13 October 2023
CY  - Cape Town, South Africa
T2  - International Conference on Accelerator and Large Experimental Physics Control Systems
T3  - 19
LA  - english
AB  - The Tango HDB++ project is a high performance event-driven archiving system which stores data with micro-second resolution timestamps. HDB++ supports many different backends, including MySQL/MariaDB, TimeScaleDB (a time-series PostgreSQL extension), and soon SQLite. Building on its flexible design, latest developments made supporting new backends even easier. HDB++ keeps improving with new features such as batch insertion and by becoming easier to install or setup in a testing environment, using ready to use docker images and striving to simplify all the steps of deployment. The HDB++ project is not only a data storage installation, but a full ecosystem to manage data, query it, and get the information needed. In this effort a lot of tools were developed to put a powerful backend to its proper use and be able to get the best out of the stored data. In this paper we will present as well the latest developments in data extraction, from low level libraries to web viewer integration such as grafana. Pointing out strategies in use in terms of data decimation, compression and others to help deliver data as fast as possible. 
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 1190
EP  - 1194
KW  - TANGO
KW  - database
KW  - controls
KW  - interface
KW  - extraction
DA  - 2024/02
PY  - 2024
SN  - 2226-0358
SN  - 978-3-95450-238-7
DO  - doi:10.18429/JACoW-ICALEPCS2023-THMBCMO01
UR  - https://jacow.org/icalepcs2023/papers/thmbcmo01.pdf
ER  -