If your Spring Batch job is not committing database updates, there could be several reasons. Here's a checklist of common issues to investigate:
✅ 1. Transaction Management
Spring Batch relies on transaction management to control commit and rollback behavior. If your transactions are not configured correctly, updates won’t be persisted.
- Each Step runs within its own transaction scope.
- If the transaction fails or is rolled back, no database changes will be committed.
✅ 2. Transaction Propagation and Isolation Levels
- If the batch job is part of a larger transaction context, ensure it’s not waiting on a parent transaction that never commits.
- Verify your propagation and isolation levels—they can affect transaction visibility and commit timing.
✅ 3. Chunk Size Matters
- Spring Batch commits transactions after processing each chunk.
- If your chunk size is too large or an exception occurs within the chunk, the entire chunk will be rolled back.
- Example:
java
.chunk(10) // commits every 10 items
✅ 4. Step Execution Status
If the step fails or is marked with an unsuccessful status, the transaction will be rolled back automatically.
- Monitor logs or implement listeners to track failures.
- Example:
java
public ExitStatus afterStep(StepExecution stepExecution) {
return stepExecution.getExitStatus();
}
✅ 5. Hibernate Flush Mode
If using Hibernate:
- Check the flush mode. Default is
AUTO
, which flushes changes at commit. - If it's set to
FlushMode.MANUAL
, you'll need to flush manually:
java
entityManager.flush();
✅ 6. Error Handling
- Unhandled exceptions during a job/step cause automatic rollback.
- Ensure you're not swallowing exceptions silently.
- Add proper logging to capture any underlying issue:
java
try {
// business logic
} catch (Exception e) {
log.error("Step failed: ", e);
throw e; // important to rethrow!
}
✅ 7. Auto-Commit Settings
- If auto-commit is disabled in your datasource but Spring isn’t managing transactions correctly, updates won’t be committed.
- Typically Spring Batch manages commits explicitly, but it’s good to check.
✅ 8. Misconfigured Job or Step
- Ensure
TransactionManager
is properly wired:
java
.transactionManager(new DataSourceTransactionManager(dataSource))
- Check for misconfigured or missing attributes in your job/step definitions.
✅ 9. Database Connection Stability
- A flaky or misconfigured datasource can cause unexpected failures.
- Monitor database logs for dropped connections or timeouts.
🔍 Debugging Tips
- Logs: Always examine logs for signs of rollback or transaction errors.
- Listeners: Implement
StepExecutionListener
or ItemProcessListener
to debug lifecycle behavior. - TransactionManager: If in doubt, explicitly declare the correct
PlatformTransactionManager
.