Astronomical Data Query Language
| Stable release | 2.0
/ 30 October 2008 |
|---|---|
| Influenced by | |
| SQL | |
Astronomical Data Query Language (ADQL) is a language for astronomical data query based on SQL 92.[1]
Overview[edit]
ADQL is a specialized variant of the SQL query language adapted for accessing the astronomical datasets of the virtual observatory,[2] via the Table access protocol (TAP).[3] ADQL is dedigned to handle large datasets distributed over several locations,[4] while not retrieving data that is not needed.[5]
Language[edit]
ADQL is a query language that allows data to be retrieved via a single command, the select statement, which is designed to perform as the select statement in the SQL language.[2] ADQL has extensions designed to improve handling of astronomical data such as spherical co-ordinates that are not handled by standard SQL.[2]
Implementations[edit]
ADQL is implemented in packages such as TOPCAT.[6]
Example[edit]
SELECT source_id, ra, dec
FROM gaiadr1.tgas_source
WHERE phot_g_mean_flux > 13
References[edit]
Footnotes[edit]
- ^ Osuna & Ortiz 2008, Abstract.
- ^ a b c Gaia 2021.
- ^ Minin & Rossi 2020, p. 39.
- ^ Demleitner & Heinl 2019, p. 1.
- ^ Heinl & Jordan 2017, 2m.
- ^ Pössel 2020, p. 28.
Sources[edit]
- Demleitner, Markus; Heinl, Hendrik (2019). "Gaia Data Queries with ADQL" (PDF). Archived (PDF) from the original on 29 October 2019. Retrieved 12 January 2021.
- Gaia (2021). "An Astronomy Data Query Language cookbook to accompany Gaia Data Release 1". Archived from the original on 12 January 2021. Retrieved 12 January 2021.
- Heinl, Hendrik; Jordan, Stefen (28 February 2017) [November 2016]. Gaia: Astronomy Data Query Language (ADQL) Introduction. Gaia data workshop at ESA's European Space Astronomy Centre (ESAC). ESA's European Space Astronomy Centre (ESAC). Archived from the original on 3 January 2022. Retrieved 24 September 2021 – via YouTube.
- Minin, Mikhail; Rossi, Angelo Pio (2020). "4. Synergy in Astonomy and Geoscience". Knowledge Discovery in Big Data from Astronomy and Earth Observation. Amsterdam: Elsevier. ISBN 9780128191545. OCLC 1144737450.
- Osuna, Pedro; Ortiz, Inaki, eds. (30 October 2008). "Astronomical Data Query Language". www.ivoa.net. Archived from the original on 27 May 2019. Retrieved 3 January 2022.
- Pössel, Markus (January 2020). "A Beginner's Guide to Working with Astronomical Data". The Open Journal of Astrophysics. 3 (1): 2. arXiv:1905.13189v2. Bibcode:2020OJAp....3E...2P. doi:10.21105/astro.1905.13189. S2CID 170079000.
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