Multi-model data distributed storage and hierarchical query method based on semantic classification

The invention relates to a multi-model data distributed storage and hierarchical query method based on semantic classification, which comprises the steps of multi-model data semantic classification storage, data query and query word management, distributed main and standby data migration and secondary index updating. The multi-model data semantic classification storage comprises the following steps: carrying out storage preliminary semantic classification; performing index initialization; performing index storage, and adding each node of the secondary index into an index class in a distributed metadata node memory in a key-value pair manner for other nodes to use when the nodes, the database or the class where the data is located are not known during query; the first-level index is stored by a node local database; multi-model data classified storage is carried out; performing data semantic query and database query; and performing query word management. According to the method, the number of nodes needing to b