The Incremental Updating Method of Economics Teaching Resource Database Data

To avoid the constraints of limited class hours and multiple teaching contents in the teaching process, this article designs an incremental update method for the data of the teaching resource database of economics majors. Firstly, use a combination of triggers and log tables to capture newly added teaching resource data. Then, the incremental data is sorted by clustering algorithm and loaded into the update log table of the In-memory database engine. Finally, data synchronization updates are completed through an event driven mechanism. The experimental results show that the incremental update efficiency obtained by this method is relatively higher, indicating that this method can better complete the incremental processing work. As the amount of data to be updated increases, this method consumes less time to complete the update, indicating a higher update efficiency.