FAD.js

Abstract

JSON is one of the most popular data encoding formats, with wide adoption in Databases and BigData frameworks as well as native support in popular programming languages such as JavaScript/Node.js, Python, and R. Nevertheless, JSON data processing can easily become a performance bottleneck in data-intensive applications because of parse and serialization overhead. In this paper, we introduce F ad . js , a runtime system for efficient processing of JSON objects in data-intensive applications. F ad . js is based on (1) speculative just-in-time (JIT) compilation and (2) selective access to data. Experiments show that applications using F ad . js achieve speedups up to 2.7x for encoding and 9.9x for decoding JSON data when compared to state-of-the art JSON processing libraries.