Incremental Data Migration for Multi-database Systems Based on MySQL with Spider Storage Engine

Naoyuki Miyamoto, K. Higuchi, T. Tsuji
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引用次数: 2

Abstract

Nowadays, with the spread of database systems and network systems in every field, a demand for sharing existent database systems grows. On the other hand, it is difficult to stop existent databases to reorganize into one large database system because database systems usually are mission-critical system. Thus, some kind of distributed database is necessary to solve this problem. The multi-database system is a kind of the distributed database system. It is a cluster of independent database systems. However, the distributed database system including the multi-database system has some problems. One of these problems is data migration between individual database systems in the multi-database system. Many reorganization techniques for distributed database systems are already proposed, but these techniques are not always adaptive to the data migration in the multi-database system. Incremental data migration is one of the solutions for this problem and it is easy to implement in the multi-database system. In this method, a large data migration is divided into small data migrations and other operations are inserted between these small data migrations. In this paper, the incremental data migration technique is evaluated in the multidatabase system based on MySQL with SPIDER storage engine and the improvement of the turn-around times of other operations is proved in this multi-database system.
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基于MySQL与Spider Storage Engine的多数据库系统增量数据迁移
如今,随着数据库系统和网络系统在各个领域的普及,对现有数据库系统的共享需求日益增长。另一方面,由于数据库系统通常是任务关键型系统,因此很难停止现有的数据库重组为一个大型数据库系统。因此,需要某种分布式数据库来解决这个问题。多数据库系统是一种分布式数据库系统。它是一组独立的数据库系统。但是,包括多数据库系统在内的分布式数据库系统存在一些问题。其中一个问题是在多数据库系统中各个数据库系统之间的数据迁移。目前已经提出了许多面向分布式数据库系统的重组技术,但这些技术并不总能适应多数据库系统中的数据迁移。增量数据迁移是解决这一问题的一种方法,在多数据库系统中易于实现。该方法将一次大数据迁移划分为多个小数据迁移,并在这些小数据迁移之间插入其他操作。本文对基于MySQL的基于SPIDER存储引擎的多数据库系统中的增量数据迁移技术进行了评估,并证明了该多数据库系统中其他操作的周转时间的提高。
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