Open AccessPerformance Analysis of Query Terms during Query Phase in Virtual Databases
Author(s) -
Mohanty Anita*,
Mishra Jyoti Prakash,
Mishra Sambit Kumar
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c5315.098319
Subject(s) - computer science , tuple , query optimization , sargable , query plan , database , query language , web query classification , query expansion , spatial query , web search query , information retrieval , data mining , search engine , mathematics , discrete mathematics
In early days, the queries may be executed by selecting query plans and linking throughout the execution. The main intention in such case may be to treat query execution as a process of streaming the tuples and systematize the query terms on the basis of tuples. The accuracy of routing of tuples may be obtained through semantic properties of the operators and implementation of join predicates. Considering the huge amounts of data in the dynamic environment, it may be required to locate and extract data implementing different techniques. The primary objective in this work may be to implement the virtualization along with conceptualization approaches to improve the throughput as well as turnaround time and to link to associated real databases. In such scenario, the virtual databases may be associated to enhance the computation capabilities of query plans by optimizing the performance and maintaining consistencies in the databases. Accordingly the query latency may be minimized