Quick study sessions to strengthen memory and retain key concepts.
How would you explain a downside of large batch sizes in an interview?
Large batch sizes can cause high memory use and complex error recovery. Using large batch sizes might lead…
View Card →How to handle exceptions in executeBatch?
Use try-catch blocks to catch SQLExceptions and handle them. When executing a batch, SQLExceptions can occur. A try-catch…
View Card →Why does setAutoCommit(false) matter in this design?
setAutoCommit(false) allows manual transaction management. By using setAutoCommit(false), you take control over when transactions are committed, which is…
View Card →What are trade-offs of batch processing?
Improves performance but increases complexity in error handling. Batch processing boosts performance but complicates error handling since partial…
View Card →Why manage batch size in JDBC?
Managing batch size prevents memory overflow and optimizes performance. Large batch sizes can consume too much memory or…
View Card →What is executeBatch used for?
executeBatch executes all batched SQL statements at once. The executeBatch method is called to run all the SQL…
View Card →How to ensure all batch statements succeed before committing?
Use transactions by disabling auto-commit and manually committing. Disabling auto-commit allows you to execute a batch and only…
View Card →What happens if a statement in a batch fails?
The batch process might stop, and previous successful actions may be rolled back. If a statement fails during…
View Card →How does addBatch work in JDBC?
addBatch adds SQL statements to a batch for batch execution. The addBatch method in JDBC allows you to…
View Card →Why use JDBC batch processing?
Batch processing reduces the number of network round trips. When you send multiple SQL statements in a batch,…
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