| ATLAS Slides | |
| Report number | ATL-SOFT-SLIDE-2021-306 |
| Title | The ATLAS EventIndex using the HBase/Phoenix storage solution |
| Author(s) |
Alexandrov, Evgeny (Joint Institute for Nuclear Research (RU)) ; Alexandrov, Igor (Joint Inst. for Nuclear Research (RU)) ; Barberis, Dario (INFN e Universita Genova (IT)) ; Canali, Luca (CERN) ; Fernandez Casani, Alvaro (Univ. of Valencia and CSIC (ES)) ; Cherepanova, Elizaveta (Joint Institute for Nuclear Research (RU)) ; Gallas, Elizabeth (University of Oxford (GB)) ; Garcia Montoro, Carlos (Univ. of Valencia and CSIC (ES)) ; Gonzalez De La Hoz, Santiago (Univ. of Valencia and CSIC (ES)) ; Hrivnac, Julius (Université Paris-Saclay (FR)) ; Kazymov, Andrei (Joint Institute for Nuclear Research (RU)) ; Mineev, Mikhail (Joint Inst. for Nuclear Research (RU)) ; Prokoshin, Fedor (Joint Institute for Nuclear Research (RU)) ; Rybkin, Grigori (Université Paris-Saclay (FR)) ; Sanchez Martinez, Francisco Javier (Univ. of Valencia and CSIC (ES)) ; Salt, Jose (Univ. of Valencia and CSIC (ES)) ; Villaplana, Miguel (Univ. of Valencia and CSIC (ES)) ; Yakovlev, Alexandre |
| Corporate author(s) | The ATLAS collaboration |
| Submitted to | 9th International Conference on Distributed Computing and Grid Technologies in Science and Education (GRID 2021), Dubna, Russian Federation, 5 - 9 Jul 2021 |
| Submitted by | [email protected] on 30 Jun 2021 |
| Subject category | Particle Physics - Experiment |
| Accelerator/Facility, Experiment | CERN LHC ; ATLAS |
| Free keywords | EventIndex |
| Abstract | The ATLAS EventIndex provides a global event catalogue and event-level metadata for ATLAS analysis groups and users. The LHC Run 3, starting in 2022, will see increased data-taking and simulation production rates, with which the current infrastructure would still cope but may be stretched to its limits by the end of Run 3. This talk describes the implementation of a new core storage service that will provide at least the same functionality as the current one for increased data ingestion and search rates, and with increasing volumes of stored data. It is based on a set of HBase tables, coupled to Apache Phoenix for data access; in this way we will add to the advantages of a BigData based storage system the possibility of SQL as well as NoSQL data access, which allows the re-use of most of the existing code for metadata integration. |
| Related document | Conference Paper ATL-SOFT-PROC-2021-020 |
Record created 2021-06-30, last modified 2022-08-03
PDF