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Analysis of Recovery Techniques in Data Base Management System

机译:数据库管理系统中的恢复技术分析

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As system continue to grow in size and complexity, they pose increasingly greater safety and risk management challenges. The danger of data being corrupted due to reckless application writes is increased. When a DBMScrashes, all or a portion of the data may become unusable. Appropriate procedures must be followed to restore, validate and return the system to normal. Recovery algorithms are techniques to ensure database consistency and transaction atomicity and durability despite failure. In this paper, we have studied when a user face the problems of failure, he may confuse which technique should be used. So we compare the recovery techniques Log Based Scheme and Shadow Paging on the basis of their performance. A review of recovery techniques give the idea of modifying log based recovery technique to be used in multi-user environment more precisely if some problem of writing log each time might be solved. Shadow paging is an alternative approach in place of log based scheme Shadow paging may be considered to use for recovering if its drawbacks of garbage collection and data fragmentation may resolve.
机译:随着系统规模和复杂性的不断增长,它们带来了越来越大的安全和风险管理挑战。由于不计后果的应用程序写入而导致数据损坏的危险增加了。当DBMS崩溃时,全部或部分数据可能变得不可用。必须遵循适当的过程来还原,验证并使系统恢复正常。恢复算法是确保数据库一致性以及事务原子性和持久性(即使出现故障)的技术。在本文中,我们研究了当用户面对故障问题时,他可能会混淆应使用哪种技术。因此,我们根据性能比较了基于日志的方案和影子分页的恢复技术。如果可以解决每次写入日志的问题,那么对恢复技术的回顾就提出了修改基于日志的恢复技术的想法,以便在多用户环境中更精确地使用它。影子分页是替代基于日志的方案的替代方法,如果可以解决影子分页的垃圾回收和数据碎片化的缺点,则可以将影子分页用于恢复。

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