Ophidia
Ophidia is a research project on big data analytics for eScience. It provides a framework for parallel I/O and data analysis, an array-based storage model and a hierarchical storage organization to partition and distribute multidimensional scientific datasets. Since the storage model does not rely on any scientific dataset file format, it can be exploited in different scientific domains and with very heterogeneous sets of data
Summary:
Release Notes
What's new
Highlights of the new features, improvements, bug fixes provided with this release:
Fixed: bug in core function of oph_dump
Added: several warnings when building
Fixed: several warnings when building
Added: support for selection statement
Fixed: some bug in massive operation handler
Fixed: several warnings when building
Added: code coverage check
Added: unit tests
Added: support for selection statement
Changed: code indentation style
Changed: library 'known operators' to improve modularity
Fixed: several warnings when building
Added: OPH_IF: graphical support for OPH_IF
Supported Platforms
CentOS7, Ubuntu14.04
List of RfCs
Please see the commits for each of the components:
Deployment Notes
After setting the INDIGO-DC repositories as explained in the Generic Installation & Configuration Guide please follow the instructions present in the Ophidia Admin Guide
installation and configuration can be done also using ansible-role-ophidia-all
Known Issues
N/A
List of Artifacts
Packages:
Documentation
Support
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