Requesting Heterogeneous Data Sources with Array Comprehensions in Hop.js

Yoann Couillec (1) , Manuel Serrano (1)

1 INDES - Secure Diffuse Programming

During the past few years the volume of accumulated data has in- creased dramatically. New kinds of data stores have emerged as NoSQL family stores. Many modern applications now collect, analyze, and produce data from several heterogeneous sources. How- ever implementing such applications is still difficult because of lack of appropriate tools and formalisms. We propose a solution to this problem in the context of the JavaScript programming language by extending array comprehensions. Our extension allows program- mers to query data from usual stores, such as SQL databases, NoSQL databases, Semantic Web data repositories, Web pages, or even custom user defined data structures. The extension has been implemented in the Hop.js system. It is the subject of this paper.

Mots clés: JavaScript; array comprehension; language-integrated query; database; Web page; Web service; compilation; aggregation

Domaines: Informatique et langage [cs.CL]

Yoann Couillec, Manuel Serrano. Requesting Heterogeneous Data Sources with Array Comprehensions in Hop.js . 15th Symposium on Database Programming Languages,, ACM, Oct 2015, Pittsburgh, United States. pp.4, ⟨10.1145/2815072.2815077⟩. ⟨hal-01246628⟩