| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 01047 | |
| Number of page(s) | 7 | |
| Section | Data and Metadata Organization, Management and Access | |
| DOI | https://doi.org/10.1051/epjconf/202429501047 | |
| Published online | 06 May 2024 | |
https://doi.org/10.1051/epjconf/202429501047
Testing framework and monitoring system for the ATLAS EventIndex
1 University of Amsterdam and NIKHEF, Amsterdam, Netherlands
2 University of Oxford, Oxford, UK
3 Joint Institute for Nuclear Physics, Dubna, Russia
4 IFIC, University of Valencia and CSIC, Valencia, Spain
* e-mail: Elizaveta.Cherepanova@cern.ch
** e-mail: Elizabeth.Gallas@physics.ox.ac.uk
Published online: 6 May 2024
The ATLAS EventIndex is a global catalogue of the events collected, processed or generated by the ATLAS experiment. The system was upgraded in advance of LHC Run 3, with a migration of the Run 1 and Run 2 data from HDFS MapFiles to HBase tables with a Phoenix interface. Two frameworks for testing functionality and performance of the new system have been developed. There are two types of tests running. First, the functional test that must check the correct functioning of the import chain. These tests run event picking over a random set of recently imported data to see if the data have been imported correctly, and can be accessed by both the CLI and the PanDA client. The second, the performance test, generates event lookup queries on sets of the EventIndex data and measures the response times. These tests enable studies of the response time dependence on the amount of requested data, and data sample type and size. Both types of tests run regularly on the existing system. The results of the regular tests as well as the statuses of the main EventIndex subsystems (services health, loaders status, filesystem usage, etc.) are sent to InfluxDB in JSON format via HTTP requests and are displayed on Grafana monitoring dashboards. In case (part of) the system misbehaves or becomes unresponsive, alarms are raised by the monitoring system.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.