The Study On The Key Technologies Of Data Retrieval In Cloud Database

The emergence of the Internet has greatly facilitated people’s life and work. As a result, interactive website is more favored for people. When people enjoy the service, it also generates massive data. For the purpose of convenient and efficient service, it is a common goal to access data to meet users’ demands quickly in huge amounts of data. The emergence of cloud computing provides a new thinking way to solve problems for people. Computers belonging to the same system could be deployed in different physical locations logically. Multiple computers are a whole, and provide services outside. It will handle their own against the occurrence of abnormal situations and obtains assurance on the speed and accuracy. Cloud database is based on cloud computing platform and it is a kind of technology which puts multiple computers of installed database together to provide services outside.This paper is under cloud database environment to study how to improve the efficiency of data retrieval technology. It involves indexing technology and mapreduce technology. It puts forward bit-map gray code index model and map-reduce-join-locate framework. It analyzes the Models’ application environment based on the blog contents. The main contents include as follows:(1)Describe the architecture of hbase, building process of environment and key technologies with implementation of related search and parallel processing. It includes hbase, hdfs, mapreduce and so on.(2)Put forward bit-map gray code index model based on numerical data query. It describes the construction of index model as well as retrieving step in equivalence queries and range queries in detail. Finally, it reveals the advantages of this index model by way of experiments.(3)Put forward map-reduce-join-locate framework. It analyzes the advantage and deficiencies in connection query. It combines with existing suggestion to improve the mapreduce function in connection. It proposes map-reduce-join-locate parallel processing framework. It showes procedures in detail. By experimentally, it verifies its application conditions and advantages.