Hybrid Query System
|International Journal of Computer Science and Engineering|
|© 2020 by SSRG - IJCSE Journal|
|Volume 7 Issue 5|
|Year of Publication : 2020|
|Authors : Ramya M, Thirumahal R|
How to Cite?
Ramya M, Thirumahal R, "Hybrid Query System," SSRG International Journal of Computer Science and Engineering , vol. 7, no. 5, pp. 8-11, 2020. Crossref, https://doi.org/10.14445/23488387/IJCSE-V7I5P103
NoSQL databases are becoming increasingly popular in Web analytics for Big Data applications and supporting large websites because of their high availability and usability. Every NoSQL framework has its own API and usually does not follow standards such as SQL systems hence there is a challenge to handle SQL and NoSQL data in a single application. The proposed approach will provide its own abstract methods to query the data spread in MYSQL and MONGODB databases. These methods operate on an intermediate form of representing objects which is then converted to corresponding object representations. Data can be stored based on its nature on MYSQL and MONGODB databases and can be retrieved. So the proposed approach is to develop a query processing system to retrieve the data from MYSQL and MongoDB databases. The ontology for the patient record has been created using the global XML schema. The XML files are read using the JDOM parser and according to the user requirement, find and display whether the attributes are present in MYSQL or MONGODB. Formulate the query for the respective database and get the output from the database. Finally combine the output and display the final data.
Data integration, semi structured data
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