1. An on-line analytical processing (OLAP) query processing method oriented to a database and Hadoop hybrid platform, wherein: on the basis of a multi-copy fault-tolerance mechanism of the Hadoop, a fact table is stored in a database cluster, a main working copy and at least one fault-tolerant copy of the fact table are set, the main working copy is imported into a local database of a working node, and a table corresponding to the main working copy is named according to a unified naming rule; the main working copy in a Hadoop distributed file system is deleted, and meta-information of the main working copy in namenode is updated into a JDBC connection of the local database and a name of the table corresponding to the main working copy; when OLAP query processing is performed, the processing is executed first on the main working copy, and a query processing result is recorded in an aggregate result table of the local database; and when the working node is faulty, node information of the fault-tolerant copy corresponding to the main working copy is searched for through the namenode, and a MapReduce task is invoked to complete the OLAP query processing task on the fault-tolerant copy.