Abstract
Data recovery is a key problem in disaster recovery and digital forensics fields. The HDFS (Hadoop Distributed File System) is widely used for storing high-volume, velocity and variety dataset. However, previous work about data recovery mainly focuses on personal computers or mobile phones, and few attentions have been taken to HFDS. This paper analyzes the feature of HDFS and proposes a recovery method based on checksum file in order to address the records recovery problem of HBase, which is a common application on HDFS. We first carve out the Data blocks of HFile (HBase data file) using the corresponding checksum file, then analyze the format of HBase table records to extract them from the carved Data blocks. The experiments demonstrate that our method can restore HBase records effectively. The recovery rate is nearly 100% when the cluster size is 4 KB and 2 KB.
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