Name
Abstract | ||
|---|---|---|
We describe Query Defunctionalization which enables off-the-shelf first-order database engines to process queries over first-class functions. Support for first-class functions is characterized by the ability to treat functions like regular data items that can be constructed at query runtime, passed to or returned from other (higher-order) functions, assigned to variables, and stored in persistent data structures. Query defunctionalization is a non-invasive approach that transforms such function-centric queries into the data-centric operations implemented by common query processors. Experiments with XQuery and PL/SQL database systems demonstrate that first-order database engines can faithfully and efficiently support the expressive "functions as data" paradigm. |
Year | Venue | Field |
|---|---|---|
2013 | DBPL | Query optimization,Data mining,Query expansion,Information retrieval,First-class function,Computer science,View,Query by Example,Spatial query,Online aggregation,Database,XQuery |
DocType | Citations | PageRank |
Journal | 5 | 0.50 |
References | Authors | |
17 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Torsten Grust | 1 | 1482 | 148.79 |
| Alexander Ulrich | 2 | 22 | 2.58 |