Faculty of Information Technology, BUT

Publication Details

Datastore MongoDB Stub pro Google App Engine SDK

HELLER Stanislav and VOLF Tomáš. Datastore MongoDB Stub pro Google App Engine SDK. In: Datakon a Znalosti 2013. 1. vydání. Ostrava: VŠB-Technical University of Ostrava, 2013, pp. 195-204. ISBN 978-80-248-3189-3.
English title
Datastore MongoDB Stub for Google App Engine SDK
Type
conference paper
Language
czech
Authors
Heller Stanislav, Ing. (FIT BUT)
Volf Tomáš, Ing. (DIFS FIT BUT)
Keywords
Google App Engine, MongoDB, datastore, stub, cloud, NoSQL
Abstract
This paper deals with Google App Engine, which is a cloud platform for development and hosting web applications on Google infrastructure. It also discusses NoSQL databases, especially MongoDB database. High Replication Datastore, a production datastore for Google App Engine, is not available in local environment. The solution is the use of so-called datastore stubs, which store data to some available local datastore and simulate real production datastore. In Google App Engine, two datastore stubs are released: Datastore File Stub and Datastore SQLite Stub. In this paper Datastore MongoDB Stub is introduced, which is a new possibility to use with Google App Engine in development on local environment. Results of several experiments comparing performance of Datastore File Stub and Datastore SQLite Stub to the new Datastore MongoDB Stub are presenterd too.
Published
2013
Pages
195-204
Proceedings
Datakon a Znalosti 2013
Series
1. vydání
Conference
DATAKON 2013, Ostrava, CZ
ISBN
978-80-248-3189-3
Publisher
VŠB-Technical University of Ostrava
Place
Ostrava, CZ
BibTeX
@INPROCEEDINGS{FITPUB10372,
   author = "Stanislav Heller and Tom\'{a}\v{s} Volf",
   title = "Datastore MongoDB Stub pro Google App Engine SDK",
   pages = "195--204",
   booktitle = "Datakon a Znalosti 2013",
   series = "1. vyd\'{a}n\'{i}",
   year = 2013,
   location = "Ostrava, CZ",
   publisher = "V\v{S}B-Technical University of Ostrava",
   ISBN = "978-80-248-3189-3",
   language = "czech",
   url = "https://www.fit.vut.cz/research/publication/10372"
}
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