DocumentCode
3122016
Title
A Spreadsheet Algebra for a Direct Data Manipulation Query Interface
Author
Liu, Bin ; Jagadish, H.V.
Author_Institution
Dept. of EECS, Univ. of Michigan, Ann Arbor, MI
fYear
2009
fDate
March 29 2009-April 2 2009
Firstpage
417
Lastpage
428
Abstract
A spreadsheet-like "direct manipulation" interface is more intuitive for many non-technical database users compared to traditional alternatives, such as visual query builders. The construction of such a direct manipulation interface may appear straightforward, but there are some significant challenges. First, individual direct manipulation operations cannot be too complex, so expressive power has to be achieved through composing (long) sequences of small operations. Second, all intermediate results are visible to the user, so grouping and ordering are material after every small step. Third, users often find the need to modify previously specified queries. Since manipulations are specified one step at a time, there is no actual queryexpression to modify. Suitable means must be provided to address this need. Fourth, the order in which manipulations are performed by the user should not affect the results obtained, to avoid user confusion. We address the aforementioned challenges by designing a new spreadsheet algebra that: i) operates on recursively grouped multi-sets, ii) contains a selectively designed set of operators capable of expressing at least all single-block SQL queries and can be intuitively implemented in a spreadsheet, iii) enables query modification by the notion of modifiable query state, and iv) requires no ordering in unary data manipulation operators since they are all designed to commute. We built a prototype implementation of the spreadsheet algebra and show, through user studies with non-technical subjects, that the resultant query interface is easier to use than a standard commercial visual query builder.
Keywords
SQL; query processing; spreadsheet programs; direct data manipulation query interface; single-block SQL queries; spreadsheet algebra; visual query builders; Algebra; Data analysis; Data engineering; Humans; Presses; Prototypes; Relational databases; Spreadsheet programs; USA Councils; Visual databases; database usability; spreadsheet; user interface;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering, 2009. ICDE '09. IEEE 25th International Conference on
Conference_Location
Shanghai
ISSN
1084-4627
Print_ISBN
978-1-4244-3422-0
Electronic_ISBN
1084-4627
Type
conf
DOI
10.1109/ICDE.2009.34
Filename
4812422
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