REL: A structural query language for processing massive line-based records

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...

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Bibliographic Details
Main Authors: Li Cheng, Alei Liang
Format: Conference Proceeding
Language:English
Subjects:
Aggregates
Database languages
Encyclopedias
Filtering
Flat-Files
Flexible printed circuits
Line-Based
Query
Robots
Structural
UNIX
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Summary: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.
DOI:10.1109/ICCSNT.2013.6967089