Optimization Technique for Efficient Dynamic Query Forms with NoSQL

At present real world databases maintain large and heterogeneous data which contain thousands of attributes and relations. Accessing the information from this corpulent database is a nontrivial task and is an exploring area of interest. Queries are using for database access, but it is a difficult task to the end user those who are not well familiar with query language and illiteracy of underlying schema. This paper presents new system which uses the allowance of query by form methodology that is dynamic query forms (DQF). In which the user is granted with a query form that will help the user to iteratively search the database records and query enhancement is provided to the user by means of feedback or response. Ad_hoc queries can also gratified by using this proposed system with the use of document oriented NoSQL database like MONGODB. MONGODB support dynamic queries that do not require predefined map reduce function. Query enhancement by response is provided by ranking the attribute used in the form. Negative feedback from user can be eliminated to optimize the query form technique.