Querying databases by snapping blocks

Yasin Silva, Jaime Chon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

A key area of focus in recent Computer Science education research has been block-based programming. In this approach, program instructions are represented as visual blocks with shapes that control the way multiple instructions can be combined. Since programs are created by dragging and connecting blocks, the focus is on the program's logic rather than its syntax. In this demonstration we present DBSnap, a system that enables building database queries, specifically relational algebra queries, by connecting blocks. A differentiating property of DBSnap is that it uses a visual tree-based structure to represent queries. This structure is, in fact, very similar to the intuitive query trees commonly used by database practitioners and educators. DBSnap is also highly dynamic, it shows the query result and the corresponding relational algebra expression as the query is built and enables the inspection of intermediate query results. This paper describes DBSnap's main design elements, its architecture and implementation guidelines, and the interactive demonstration scenarios. DBSnap is a publicly available system and aims to have a transformational effect on database learning.

Original languageEnglish (US)
Title of host publication2015 IEEE 31st International Conference on Data Engineering, ICDE 2015
PublisherIEEE Computer Society
Pages1472-1475
Number of pages4
ISBN (Electronic)9781479979639
DOIs
StatePublished - May 26 2015
Event2015 31st IEEE International Conference on Data Engineering, ICDE 2015 - Seoul, Korea, Republic of
Duration: Apr 13 2015Apr 17 2015

Publication series

NameProceedings - International Conference on Data Engineering
Volume2015-May
ISSN (Print)1084-4627

Other

Other2015 31st IEEE International Conference on Data Engineering, ICDE 2015
Country/TerritoryKorea, Republic of
CitySeoul
Period4/13/154/17/15

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

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