A Survey on Batch Stream Processing using Query Replacement Technique to Avoid Database Risks

Due to drastic increasing in web applications and also internet users, there is huge number of transactions are happening at server side. This in turn affects the database too. So when database is crowded with huge number of queries then database server becomes so busy to handle these queries. So either these query will be executed in some delay of time or they vanish with the object over weight. So proposed method is introduces an idea of using fuzzy logic with the batch stream processing of the queries which are stored in the priority queue for avoiding database performance degradation.