On Approximate Querying Large-Scale JSON Data

Abstract

Abstract JSON is a kind of data exchange format based on data types of JavaScript. JSON has been widely used in data exchange applications. To process and query large JSON file is time consuming. It requires not only massive storage disks to store large amounts of JSON data and its intermediate results, but also large CPU times to query and process the massive JSON data. so ordinary methods usually face many difficulties in such cases. Therefore, the key problem of query processing large JSON file is how to process queries efficiently. Therefore, approximate processing large-scale JSON query is an effective way to reduce query response time. So research of approximate query of large-scale JSON data can improve user’s query experience and query effect. This paper researches the major questions of approximate query of large JSON file, such as core query features of JSON model, and methods of approximating query large-scale JSON data.