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- M. del Campo, I. Arredondo
ESS Bilbao, Zamudio, Spain
- M.G. Giacchini, L.G. Giovannini
INFN/LNL, Legnaro (PD), Italy
- J. Jugo
University of the Basque Country, Faculty of Science and Technology, Bilbao, Spain
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Data storage is a primary issue in any research facility. In the EPICS middleware based accelerator community, Channel Archiver has been always considered the main reference. It works with Oracle and MySQL, probably the best well known relational databases. However, demanding requirements at minimum costs have fostered the development of a wide range of alternatives, like protocol buffers (SLAC), MSDPlus (Consorzio RFX), SciDB (BNL) or Hypertable (IFNF). This document launches a tool called HyperArchiver, which was firstly developed at IFNF (Italy) and eventually customised by ESS Bilbao (Spain). Based on a NoSQL database named Hypertable, it focuses on large data sets management with maximum scalability, reliability and performance. Besides the update and further customization made at ESS Bilbao, HyperArchiver is presented with a set of GUIs, in order to provide an easy use and integration with any general control system. A LabVIEW VI and two cross-platform PyQt GUIs for both Hypertable data retrieval and HyperArchiver control have been developed and successfully tested at ESS Bilbao.
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