Views materialization is a powerful technique for optimization of query evaluation. However, when data sources are updated, these materialized views (MVs) should be maintained in order to get appropriate queries’ answers. This work provides an overview of the research field of view maintenance, focusing on view maintenance issues and dimensions that cover the most important ones proposed in the literature review. We provide a classification and review the state-of-the-art of view maintenance approaches according to several parameters characterizing their algorithms, including information considered during the view maintenance process, principle used, and the execution mechanism. We provide the most important performance evaluation metrics of view maintenance process while performing a comparative study of some important approaches. Lastly, we give comprehensive perspectives on view maintenance in the different promising environments of MV applications.

中文翻译：

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物化视图维护：问题、分类和开放挑战

视图物化是一种用于优化查询评估的强大技术。但是，当数据源更新时，应维护这些物化视图 (MV) 以获得适当的查询答案。这项工作概述了视图维护的研究领域，重点关注视图维护问题和涵盖文献综述中提出的最重要问题的维度。我们根据描述其算法的几个参数（包括视图维护过程中考虑的信息、使用的原理和执行机制）对视图维护方法的最新技术进行了分类和审查。我们提供了视图维护过程中最重要的性能评估指标，同时对一些重要方法进行了比较研究。最后，