How to resolve errors when bulk storing data with MyBatis?

When using MyBatis for storing large amounts of data, you may encounter some issues. Here are some common problems and solutions:

1. Database connection issue: If you encounter errors with the database connection, you can check if the database connection pool configuration is correct, making sure that there are enough connections available. You can try increasing the maximum number of connections in the pool, or using the idle connection time to ensure that the connections are available.
2. Memory overflow: Storing large amounts of data can lead to memory overflow. To prevent this, consider inserting data in batches, committing the transaction manually after inserting a certain amount of data, and then inserting the next batch. This can help reduce the memory pressure of loading data all at once.
3. SQL execution timeout: If the execution time of SQL statements storing large amounts of data is too long, it may result in a SQL execution timeout. This issue can be resolved by modifying the timeout time in the database configuration file. Additionally, if the data volume is very large, consider using batch insertion to package multiple data entries into a single SQL statement for execution.
4. Database deadlocks can occur when storing large amounts of data, potentially caused by concurrent inserts. To reduce concurrent conflicts, one option is to serialize the insert operations or increase the granularity of database locks.
5. MyBatis configuration issue: If there are errors in storing large amounts of data, it may be due to incorrect MyBatis configurations. You can check the MyBatis configuration file to ensure it is correct.

If the above methods do not solve the problem, you can troubleshoot based on the specific error information or consider other ways to store large amounts of data, such as using database stored procedures or other ORM frameworks.