Abstract: To meet the needs for storing and quick retrieving mass unstructured temporal information, it proposed using the distributed and unstructured database HBase, which was on the Hadoop platform, to store temporal data. Then, it built the temporal data storage model with the store unit as the temporal set, and designed a Multi level indexed Distributed Hash Table (tDHT) algorithm to realize the retrieval for the temporal attribute value of temporal column quickly and efficiently. By mapping from temporal attribute value to the twodimensional space, the conversion from temporal data to space object was achieved, the temporal data area was divided by using the processing method for spatial data, Multi level temporal data subareas were generated, and the Multi level indexed DHT directory was constructed, which was stored by HBase, using the methodology of DHT. The experiment results show that the index strategy can achieve a good performance, and it can be used to accelerate temporal data retrieval in the HBase table  to a certain extent.

Key words: temporal information, HBase, data storage, temporal index, distributed hash table (DHT)