MyBatis Big Data Query Guide

MyBatis offers various methods to query large amounts of data. Here are some commonly used methods:

1. To implement pagination in queries, you can limit the amount of data retrieved each time by setting pagination parameters. Define a method with pagination parameters in the Mapper interface, and use the limit clause or pagination plugin configuration to achieve paginated queries.
2. Cursor-based query: MyBatis supports cursor-based queries, allowing large amounts of data to be retrieved at once without loading all the data into memory. The openCursor and fetchXXX methods can be used to perform a cursor-based query.
3. To search and process a large amount of data efficiently, utilize MyBatis’ batch query function. Use the selectList method to extract multiple records at once for handling.
4. By using batch querying, you can retrieve data in portions if the dataset is too large to query all at once. This can be done by using cursors or pagination to retrieve a portion of the data, process it, then move on to the next query until all data is obtained.

It is important to consider the performance and resource consumption of the database when querying a large amount of data. You can improve the efficiency of the queries by setting reasonable query conditions and controlling the amount of data queried each time.