Utilize parallel loading: When importing data, you can improve the speed of data import by using parallel loading. With SQL*Loader, you can specify the level of parallel loading by setting the PARALLEL parameter. When importing data with a PL/SQL program, you can use parallel processing or multithreading to enhance import speed.
Utilize fast loading technology: When importing data with SQL*Loader, you can use the DIRECT or APPEND parameter to improve the speed of data import by implementing fast loading technology.
Adjust server resources: make sure the server has enough resources such as CPU, memory, and disk space to meet the demands of data import.
Using indexes and partitioning tables: Before importing data, you may want to consider partitioning the table or creating indexes after importing data to improve data access speed.
Use batch submission: Importing data in batches rather than all at once can reduce the load on the database and accelerate the data import process.
Utilize parallel processing tools: When dealing with large amounts of data, consider using parallel processing tools or ETL tools for data importing to make better use of server resources and improve import speed.
