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Here are some additional points that you need to be aware of when using savepoints: Calling commit() or rollback() invalidates all savepoints created since the transaction started Calling releaseSavepoint(Savepoint) invalidates the given savepoint Calling rollback(Savepoint) invalidates any savepoints that had been created after the given savepoint

You need a servlet to process the distance requests. When this servlet is accessed with the HTTP GET method, it simply displays the form. Later, when the form is submitted with the POST method, this servlet finds the distance between the two input cities and displays it in the form again.



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I mentioned previously that transaction control belongs in the hands of the developer. The system requirements should provide information on the business rules for the application and the developer can use those requirements to make the best decision on what sequence of SQL constitutes the transactions for the system, and when those transactions should be committed. Another way to provide this control is to put all the statements that constitute a transaction into a stored procedure. Stored procedures are perhaps the easiest and most accessible method to ensure correct transactions. If you follow a programming paradigm that says a stored procedure call is a transaction, you ll have an easier time controlling your transactions and building new ones. You would code stored procedures that received all of the necessary inputs to perform its work. It would take the database from one consistent state to the next. When you invoke this procedure, you would wrap the procedure call in transaction control statements:





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We know it s next in the sorted order, and we know it has a correct estimate; because these estimates are upper bounds, none of the later nodes could possibly have lower estimates Cool, no And now, by induction, we ve solved the problem We just relax all out-edges of the nodes of each node in distance order which means always taking the one with the lowest estimate next This structure is quite similar to that of Prim s algorithm: traversal with a priority queue Just as in Prim s, we know that nodes we haven t discovered in our traversal will not have been relaxed, so we re not (yet) interested in them And of the ones we have discovered (and relaxed), we always want the one with the lowest priority.

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package com.apress.springrecipes.city.servlet; ... import javax.servlet.RequestDispatcher; import javax.servlet.ServletException; import javax.servlet.http.HttpServlet; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpServletResponse; import org.springframework.web.context.WebApplicationContext; import org.springframework.web.context.support.WebApplicationContextUtils; public class DistanceServlet extends HttpServlet { protected void doGet(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { forward(request, response); } protected void doPost(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { String srcCity = request.getParameter("srcCity"); String destCity = request.getParameter("destCity"); WebApplicationContext context = WebApplicationContextUtils.getRequiredWebApplicationContext( getServletContext()); CityService cityService = (CityService) context.getBean("cityService"); double distance = cityService.findDistance(srcCity, destCity); request.setAttribute("distance", distance); forward(request, response); } private void forward(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { RequestDispatcher dispatcher = request.getRequestDispatcher("WEB-INF/jsp/distance.jsp");

// Disable autocommit connection.setAutoCommit(false); String sql = "{ call MyProcedure }"; CallableStatement cs = connection.prepareCall(sql); // Call procedure cs.executeUpdate(); connection.commit();

Now, if MyProcedure completes successfully, we will commit all of the work it did. If it fails we ll roll back the work (although that is not shown in the snippet above). The reason we would not put the commit directly into MyProcedure itself is because at some later date we might need to combine two or three procedures into one transaction. By leaving transaction control to the client (which is where the choice belongs) we can assemble larger transactions as a collection of stored procedures.

In Prim s algorithm, the priority was the weight of the edge linking back to the traversal tree; in Dijkstra s, the priority is the distance estimate Of course, the priority can change as we find shortcuts (just like new possible spanning tree edges could reduce the priority in Prim s), but just like in Listing 7-5, we can simply add the same node to our heap multiple times (rather than trying to modify the priorities of the heap entries), without compromising correctness or running time The result can be found in Listing 9-3 Its running time is loglinear, or, more specifically, ((m+n) lg n), where m is the number of edges and n the number of nodes As long as (n) nodes can be reached, the m will dominate the n, and the running time can be simplified to (m lg n).

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