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New Solution for Small File Storage of Hadoop Based on Prefetch Mechanism

机译:基于预取机制的Hadoop小文件存储新解决方案

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Hadoop performance a significant advantage in dealing with large files, but it is ineffective if we use Hadoop to handle a large number of small files, because the physical address of the Hadoop file is stored in a single Namenode. Suppose that the size of a small file is 1 OOByte, if there are such a large number of these small files, it may lead to greatly reduce the utilization of Namenode memory, and due to the large number of small files make the index directory increase, it also lower the rate of user accessing to files. To solve the problem described above, this paper propose a new solution for small tile storage of Hadoop based on prefetch mechanism, experiment shows that this solution can effectively improve the memory utilization of Namenode and significantly improve the speed of user accessing.
机译:Hadoop性能在处理大文件方面是一个显着的优势,但如果我们使用Hadoop来处理大量的小文件,则无效,因为Hadoop文件的物理地址存储在单个NameNode中。假设一个小文件的大小是1个Oobyte,如果有这样大量这些小文件,它可能会导致大大减少NameNode内存的利用率,并且由于大量的小文件使索引目录增加了,它也降低了访问文件的用户速率。为了解决上述问题,本文提出了一种基于预取机制的Hadoop小块存储的新解决方案,实验表明该解决方案可以有效地提高NameNode的存储器利用率,并显着提高用户访问的速度。

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