Optimize SQLite Database Performance

To address the issue of lag caused by a large amount of data in the SQLite database, the following methods can be considered:

1. Database optimization involves optimizing the database, including creating indexes and optimizing queries, to improve the performance of the database. Tools provided by SQLite can be used to analyze the performance of the database and identify bottlenecks that impact performance.
2. Data partitioning: dividing data into multiple tables according to certain rules can reduce the data volume of each individual table, thus improving the efficiency of queries and updates.
3. Data compression: compressing database files can reduce their size and improve read and write efficiency.
4. Regular data cleaning: Regularly clearing unnecessary data, especially historical or expired data, can reduce the volume of data in the database and improve database performance.
5. By utilizing an in-memory database, loading frequently accessed data into memory can improve the speed of queries and updates.
6. Upgrade hardware configuration: If the above methods are unable to resolve the issue, consider upgrading hardware components such as the CPU and memory to improve the performance of the database.