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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
