Computer Science – Performance
Scientific paper
Jul 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006aspc..351..735k&link_type=abstract
Astronomical Data Analysis Software and Systems XV ASP Conference Series, Vol. 351, Proceedings of the Conference Held 2-5 Octob
Computer Science
Performance
7
Scientific paper
In this paper we present Q3C (Quad Tree Cube), a new sky indexing scheme and its implementation for the open source database PostgreSQL. We have implemented our sky-partitioning scheme as a loadable module for PostgreSQL and developed a very simple SQL interface for main astronomical queries: cone search, various spatial searches on the sphere and cross-matches of catalogues. The performance is very high and allows to work easily with the largest existing catalogues (USNO-A/B, 2MASS, SDSS). We propose PostgreSQL and our sky-indexing scheme as open source solution for any VO-services dealing with huge catalogues.
Bartunov Oleg
Koposov Sergey
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