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Handling of network and database instabilities in CORAL
The CORAL software is widely used by the LHC experiments for storing and accessing data using relational database technologies. CORAL provides a C++ abstraction layer that supports data persistency for several back-ends and deployment models, direct client access to Oracle servers being one of the m...
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Published in: | Journal of physics. Conference series 2012-01, Vol.396 (5), p.52068-13 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | The CORAL software is widely used by the LHC experiments for storing and accessing data using relational database technologies. CORAL provides a C++ abstraction layer that supports data persistency for several back-ends and deployment models, direct client access to Oracle servers being one of the most important use cases. Since 2010, several problems have been reported by the LHC experiments in their use of Oracle through CORAL, involving application errors, hangs or crashes after the network or the database servers became temporarily unavailable. CORAL already provided some level of handling of these instabilities, which are due to external causes and cannot be avoided, but this proved to be insufficient in some cases and to be itself the cause of other problems, such as the hangs and crashes mentioned before, in other cases. As a consequence, a major redesign of the CORAL plugins has been implemented, with the aim of making the software more robust against these database and network glitches. The new implementation ensures that CORAL automatically reconnects to Oracle databases in a transparent way whenever possible and gently terminates the application when this is not possible. Internally, this is done by resetting all relevant parameters of the underlying back-end technology (OCI, the Oracle Call Interface). This presentation reports on the status of this work at the time of the CHEP2012 conference, covering the design and implementation of these new features and the outlook for future developments in this area. |
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ISSN: | 1742-6588 1742-6596 |
DOI: | 10.1088/1742-6596/396/5/052068 |