How to optimize importing a large amount of data with PHP exec?

To optimize importing a large amount of data using PHP exexl, consider the following points:

1. Adjust the memory limit accordingly: in the PHP.ini file, set the memory_limit to a higher value so that more data can be processed. For example, set it to 256M or higher.
2. Importing data in batches: breaking down large amounts of data into multiple smaller batches and importing them one by one. This can prevent memory overflow caused by loading too much data at once. One can use a loop to import a portion of data each time, and release related resources after each import is completed.
3. Turn off automatic calculation: If the imported Excel file contains formulas or complex calculations, you can improve the import speed by turning off the automatic calculation function before importing the data.
4. Choose the appropriate data structure based on the imported data type and operational requirements. For example, use a hash table or index array for quick access and searching, and use a regular array or linked list for sequential data access.
5. Optimize code logic by checking for unnecessary loops, conditions, or repeated operations, and making necessary optimizations. Ensure that the code logic is concise and efficient, while avoiding unnecessary resource waste.
6. Utilize caching: If the imported data is static or rarely changes, it can be cached to avoid repeating the operation each time data is imported. Caching systems like Memcached or Redis can be used.
7. Asynchronous processing: If the process of importing data takes a long time, it is recommended to consider using asynchronous processing. Assigning the import task to a background process or message queue can improve the system’s concurrency and response speed.
8. Database optimization: If the imported data needs to be stored in the database, consider optimizing the database. This includes designing the database structure logically, creating indexes, partitioning tables, using transactions, and other methods to improve the database performance and concurrency capabilities.

By implementing the above optimization measures, the efficiency and performance of importing large amounts of data using PHP exexl can be improved, reducing memory consumption and enhancing system responsiveness.