In such cases, I've found out the tricky part is to make sure you commit the transaction only if all inserts succeed, but rollback all updates if any insert fails. I've used a savepoint stack to handle such situations. The highly simplified code is as follows:
A connection wrapper class:
public class MyConnection {
Connection conn;
static DataSource ds;
Stack<Savepoint> savePoints = null;
static {
//... stuff to initialize datasource.
}
public MyConnection() {
conn = ds.getConnection();
}
public void beginTransaction() {
if (savePoints == null) {
savePoints = new Stack<Savepoint>();
conn.setAutoCommit(false);
conn.setTransactionIsolation(Connection.TRANSACTION_SERIALIZABLE);
} else {
savePoints.push(conn.setSavepoint());
}
}
public void commit() throws SQLException {
if (savePoints == null || savePoints.empty()) {
conn.commit();
} else {
Savepoint sp = savePoints.pop();
conn.releaseSavepoint(sp);
}
}
public void rollback() throws SQLException {
if (savePoints == null || savePoints.empty()) {
conn.rollback();
} else {
Savepoint sp = savePoints.pop();
conn.rollback(sp);
}
}
public void releaseConnection() {
conn.close();
}
}
Then you can have various methods that may be called independently or in combination. In the example below, methodA may be called on its own, or as a result of calling methodB.
public class AccessDb {
public void methodA(MyConnection myConn) throws Exception {
myConn.beginTransaction();
try {
// update table A
// update table B
myConn.commit();
} catch (Exception e) {
myConn.rollback();
throw e;
} finally {
}
}
public void methodB(MyConnection myConn) throws Exception {
myConn.beginTransaction();
try {
methodA(myConn);
// update table C
myConn.commit();
} catch (Exception e) {
myConn.rollback();
throw e;
} finally {
}
}
}
This way, if anything goes wrong, it rolls back fully (as a result of the exception handling), but it will only commit the entire transaction instead of committing a partially completed transaction.