Astronomical Data Query Language

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Astronomical Data Query Language
Stable release
2.0 / 30 October 2008; 13 years ago (2008-10-30)
Influenced by
SQL

Astronomical Data Query Language (ADQL) is a language for astronomical data query based on SQL 92.[1]

Overview[]

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[]

ADQL is a query language that allows data to be retrieved via its has 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[]

ADQL is implemented in packages such as TOPCAT.[6]

References[]

Footnotes[]

  1. ^ Osuna & Ortiz 2008, Abstract.
  2. ^ a b c Gaia 2021.
  3. ^ Minin & Rossi 2020, p. 39.
  4. ^ Demleitner & Heinl 2019, p. 1.
  5. ^ Heinl & Jordan 2017, 2m.
  6. ^ Pössel 2020, p. 28.

Sources[]

  • 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 Dsicovery 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" (PDF). doi:10.21105/astro.1905.13189.
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