Abstract: A data migration method and apparatus, a device, a distributed system and a storage medium are provided. Said method is applied to each data node in a distributed system comprising a plurality of data nodes. Said method comprises: determining, in a current data migration task, a table to be migrated of a current node, and a target data node (S101); and writing incremental data in the table to be migrated into the table to be migrated, and a target data table of the target data node, the incremental data being data obtained by performing, after the data migration task is started, a change operation on data in the table to be migrated (S102).

Abstract: A data partition storage system is provided. The system includes: a data analysis device, configured to determine, according to a data feature of target data comprised in a database, a heat level corresponding to the target data; and a database kernel, deployed on a target device different from the data analysis device to form the database, and configured to: acquire the heat level corresponding to the target data transmitted by the data analysis device; and store the target data in a storage area corresponding to the heat level.

Abstract: Embodiments in the present description provide an operation request processing method and apparatus, and a device, and a readable storage medium, and a system. In the present embodiment, after obtaining an operation request for a data table, a read-write node can return a request processing completion message to a requester in time without waiting for all read-only nodes; a locking operation is performed on the data table, a log of locking the data table is written into a redo log file; and after status information of the log of locking is written into a status record, a monitoring processing process can achieve log playback monitoring of all the read-only nodes by using the status record and the log of locking. Thus, an asynchronous processing mechanism is achieved, and the stability and efficiency of operation request execution are improved.