DocumentCode :
694351
Title :
REL: A structural query language for processing massive line-based records
Author :
Li Cheng ; Alei Liang
Author_Institution :
Sch. of Software, Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2013
fDate :
12-13 Oct. 2013
Firstpage :
174
Lastpage :
177
Abstract :
Many modern programs still use flat files to store application data because of their simplicity and portability. These files contain massive line-based records, on which common actions performed involve filtering, mapping and basic set operations. Rather than having each program to implement them on its own, we present REL, a structural query language that handles all these complexity behind and provides an elegant query interface. We also implement REL as a UNIX utility to translate query expressions into UNIX shell scripts that do the actual record processing. Finally we evaluate its performance through experiments.
Keywords :
information filtering; query languages; query processing; REL; application data; basic set operations; filtering; mapping; massive line-based records; structural query language; Aggregates; Database languages; Databases; Encyclopedias; Filtering; Flexible printed circuits; Robots; Flat-Files; Line-Based; Query; Structural; UNIX;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
Conference_Location :
Dalian
Type :
conf
DOI :
10.1109/ICCSNT.2013.6967089
Filename :
6967089
Link To Document :
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