Information retrieval method based on big data

The invention provides an information retrieval method based on big data. The method comprises the steps of carrying out the redundant backup and consistency maintenance for inter-node data under a real-time distributive architecture, respectively storing the data uploaded by a mobile terminal to a plurality of nodes of a cluster data server by virtue of a communication server to form multiple redundant backups, and carrying out the storage and retrieving by virtue of other nodes corresponding to the copy when the data on the node is failed to copy. According to the method, the multiple backup and consistency maintenance for the data can be realized, the dynamic adjustment of the system structure can be satisfied, the performance, reliability and expandability are relatively high, and the real application requirement at present can be met.