Imagine a situation where you need to insert a large dataset (for example, 10,000 rows) into a database using JDBC. How would you optimize this process to ensure that it is done efficiently and does not consume excessive resources?
- Disable database constraints temporarily during the insertion process.
- Execute individual INSERT statements in a loop for each row in the dataset.
- Increase the database transaction isolation level to SERIALIZABLE for the insertion operation.
- Use batch processing with prepared statements to insert multiple rows in a single database call.
Batch processing with prepared statements is the most efficient way to insert a large dataset into a database using JDBC. It reduces the overhead of multiple database calls by grouping multiple insertions into a single call. Executing individual INSERT statements in a loop is resource-intensive and not recommended for large datasets. Disabling database constraints can compromise data integrity. Increasing the transaction isolation level to SERIALIZABLE is not needed for a simple insertion operation.
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