Live data migration approach from relational tables to schema-free collections with MapReduce Online publication date: Tue, 29-Dec-2015
by Kun Ma; Fusen Dong
International Journal of Services Technology and Management (IJSTM), Vol. 21, No. 4/5/6, 2015
Abstract: Although NoSQL has some new features to address the query bottleneck of big data, the hybrid solution of relational database and NoSQL will last for a long period. Therefore, recent researches focus on the data migration issue from relational database to document stores. However, there are few publications on live data migration in parallel. In this paper, we attempt to address this old problem using new MapReduce framework. The process of migration consists of log-based change data capture, merging of changed data, and blocking and transformation. We utilise predicate logic of mathematical relation and QVT relations to describe the mapping rules clearly. Finally, our experimental evaluation of log-based blocking and transformation with MapReduce shows the higher effectiveness and efficiency than current methods.
Online publication date: Tue, 29-Dec-2015
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