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Databaser i molnet: En prestanda utvärdering
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
2012 (Swedish)Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Abstract

As a developer of database-driven applications you will be faced with difficult choices, when it comes to choosing database, server and programming language. For the result to be satisfactory it requires the different techniques to interact well with each other and also fulfill performance expectations. This is even more important when the application is deployed to the cloud and the response time plays a major role.This paper evaluates different databases and their performance. To test the databases there was an application made in the server script language PHP or Hypertext Preprocessor and it was deployed to Windows Azure cloud platform. The test applications task is to call and load databases by controlled requests which creates, reads, updates and deletes data in an relatively large extent.The results shows that locale databases or databases in the same data center as the server generates the fastest response. The diffrence between NoSQL and SQL is practically nothing when it comes to simple requests. The type of data and the type of usage are major factors in the choice between the two databases.This paper works as a guidance in the choice of database for development of applications in the cloud.

Keywords: SQL, NoSQL, databas, cloud, Azure, CouchDB, IrisCouch, database.com, databaseperformance

Abstract [sv]

Abstrakt

Som utvecklare av databasdrivna applikationer ställs man inför avgörande val när det kommer till databas, server och programmeringsspråk. För att resultatet ska bli en väl fungerande applikation krävs det att alla tekniker interagerar på ett bra sätt med varandra samt att de uppfyller vissa prestandakrav. Detta blir än viktigare när applikationen lyfts ut i molnet och svarstider spelar en stor roll.I arbetet undersöks olika databasers svarstider med hjälp av en testapplikation som är skriven i scriptspråketet PHP och driftsatt på Windows Azure-plattformen. Applikationens uppgift är att anropa och belasta databaser genom att genomföra kontrollerade operationer som skapar, hämtar, uppdaterar eller tar bort data i relativt stor omfattning.De databaser som praktiskt testats och utvärderats är Azure Table, Azure SQL, CouchDB, IrisCouch samt Database.com.Resultaten visar att lokala databaser, eller databaser inom samma datacenter som servern, generar de snabbaste responstiderna. Skillnaderna mellan NoSQL och SQL är i det närmaste försumbara när det handlar om enklare operationer. I valet mellan de två handlar det i mångt och mycket om vad databaserna ska användas till samt vilken typ av information som ska lagras i dem.Arbetet är tänkt att fungera som en vägledning i valet av databas vid utveckling av molntjänster.

Nyckelord: SQL, NoSQL, databas, moln, Azure, CouchDB, IrisCouch, database.com, databasprestanda

Place, publisher, year, edition, pages
2012. , 26 p.
Keyword [en]
SQL, NoSQL, databas, cloud, Azure, CouchDB, IrisCouch, database.com, databaseperformance
Keyword [sv]
SQL, NoSQL, databas, moln, Azure, CouchDB, IrisCouch, database.com, databasprestanda
National Category
Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-20699OAI: oai:DiVA.org:lnu-20699DiVA: diva2:540014
Subject / course
Computer Science
Educational program
Web Development Programme, 120 credits
Presentation
Linnéuniversitetet Kalmar Nyckel, Gröndalsvägen 19A, Kalmar (Swedish)
Uppsok
Technology
Supervisors
Examiners
Available from: 2012-08-15 Created: 2012-07-06 Last updated: 2012-08-15Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
  • html
  • text
  • asciidoc
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