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while (j.hasNext()) { order = (Order) j.next(); em.remove(order); if (!em.contains(order)) { return false; } } To make sure that the remove operation will not actually affect the underlying data in the orders table, you might wrap a call to the checkIfManaged method in a transaction that is then rolled back. Listing 11-6 shows the updated JpqlTestServlet servlet. Again, the added code is highlighted in bold. Listing 11-6. The JpqlTestServlet Servlet Updated to Call the checkIfManaged Method Within a Transaction //import declarations ... import javax.annotation.Resource; import javax.transaction.UserTransaction; public class JpqlTestServlet extends HttpServlet { @EJB private JpqlTest jpqlTest; @Resource UserTransaction utx; public void doGet( HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { response.setContentType("text/html"); response.setBufferSize(8192); PrintWriter out = response.getWriter(); try{ List<Employee> employees = jpqlTest.getEmployees(); Iterator i = employees.iterator(); Employee employee; while (i.hasNext()) { employee = (Employee) i.next(); out.println("Employee id: "+ employee.getEmpno() +"<br/>"); out.println("First name: "+ employee.getFirstname() +"<br/>"); out.println("Last name: "+ employee.getLastname() +"<br/>"); out.println("----------"+ "<br/>"); } utx.begin(); out.println("All employee entities were managed during the checkIfManaged call: "+ jpqlTest.checkIfManaged() +"<br/>"); utx.rollback(); }

With many libraries being built and maintained by only a small team of developers on their own time, you can imagine that documentation falls to the bottom of the to-do list. For example, this was an issue with the Prototype library until only recently. The library had no documentation except for a few third-party resources. A team of individuals banded together to ensure that the library development itself continued on and that a proper site be built in its honor, along with documentation.

CHAPTER 11 USING JAVA PERSISTENCE QUERY LANGUAGE (JPQL)

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One of the most commonly used examples when explaining the concept of map/reduce is the word count example. Basically, you take a document of text and use map and reduce functions to return the number of times each word appears in that document. For this example, I have created a database named documents, and inside it I have created a single document, with the field content and its value set to the full text of U.S. President Barack Obama s 2009 inauguration speech, part of which is shown in Figure 8-9.

catch (Exception e){ e.printStackTrace(); } } } As mentioned earlier, this time the checkIfManaged method called in the JpqlTestServlet servlet shown in the listing should return false.

s When picking a library, be sure to look through the documentation. Is it up to date Does it have Tip

The previous example doesn t answer the question of whether the entity instances related to the entity instances retrieved by a JPQL query become immediately managed upon retrieving the query results As stated in the beginning of the preceding section, the answer to this question depends on the fetch mode defaulted or explicitly set when defining a relationship between entities If the LAZY mode is used, then the associations are not retrieved Sometimes, however, you might want to retrieve them along with the query results This is where using JPQL FETCH JOINS may come in very handy Let s look at an example that makes it possible for you to look at the state of the associations of the entity instances returned by a regular query and a join query, immediately after retrieving.

Figure 8-9. Inauguration speech in the database Now I want to create a view that takes this speech and counts the number of times each word in the speech was mentioned. To do so, I created a new view, with the map function shown in Listing 8-12. Listing 8-12. Map Function for Word Count View function(doc) { var words = doc.content.toLowerCase().replace(/[^a-z]+/g, ' ').split(' ');

Say you create a JpqlJoinsTestBean session bean whose countOrders business method implements the logic required to perform this test For testing purposes, you could employ several EntityManager instances, each of which is based on a separate persistence unit In particular, you might define three independent EntityManager instances to execute three JPQL queries, each in a separate persistence context, and then evaluate the results of those queries The following steps summarize the tasks you might want the JpqlJoinsTestBean s countOrders business method to perform: 1 Inject three independent EntityManager instances 2 With em0, create and execute a SELECT JPQL query retrieving the employee instance with the specified empno 3 With em1, create and execute a SELECT JPQL FETCH JOIN query retrieving the employee instance with the specified empno, along with the associated order instances 4.

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