A JEE RESTful service to access Conditions Data in ATLAS

21st International Conference on Computing in High Energy and Nuclear Physics

物理学;计算机科学

Formica, Andrea^1 ; Gallas, E.J.^2

CEA/Saclay IRFU/SEDI, Gif-sur-Yvette

91191, France^1

Department of Physics, Oxford University, Denys Wilkinson Building, Keble Road, Oxford

OX1 3RH, United Kingdom^2

关键词: Application Servers;    Conditions database;    Content extraction;    Data quality;    Independent set;    Java applications;    Rest services;    RESTful Services;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/664/4/042016/pdf
DOI  :  10.1088/1742-6596/664/4/042016

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Usage of condition data in ATLAS is extensive for offline reconstruction and analysis (e.g. alignment, calibration, data quality). The system is based on the LCG Conditions Database infrastructure, with read and write access via an ad hoc C++ API (COOL), a system which was developed before Run 1 data taking began. The infrastructure dictates that the data is organized into separate schemas (assigned to subsystems/groups storing distinct and independent sets of conditions), making it difficult to access information from several schemas at the same time. We have thus created PL/SQL functions containing queries to provide content extraction at multi-schema level. The PL/SQL API has been exposed to external clients by means of a Java application providing DB access via REST services, deployed inside an application server (JBoss WildFly). The services allow navigation over multiple schemas via simple URLs. The data can be retrieved either in XML or JSON formats, via simple clients (like curl or Web browsers).