NOSQL Data base Retrieval Using Hash algorithm for column store

Abstract

Abstract The NoSQL Data Storage is a storage infrastructure designed specifically to store, manage and retrieve large amounts of unstructured data. The Column-Based is the one type of Nosql database that store the data in a column structured. The column-based database stores these data in one file which it produced a delay in handling the user’s queries, because the database handling the file sequential. Additionally the Nosql DBMS’s don’t support primary key concepts. This research developed hash-base indexing algorithm that enhance search process and speed up user’s query response time. Furthermore, provide researchers and framework that they can use to test their indexing algorithm. The hash algorithm developed by using Java language and connect with Apache HBase DBMS, which installed in Hadoop server and using Zookeeper tool. The experiments conduct to measure the response time of the proposed (Hash) algorithm and Indexed algorithm .the result show that the Hash algorithm enhanced the response time when it compared with Indexed algorithm. The Hash algorithm can be able to reduce the response time if it implements another algorithm to reduce collision of keys in the index table