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Let s provoke a LazyInitializationException. When the user enters the final screen of the conversation, the confirmation dialog, you present a list of auction categories. The user can select the default category for their account: the auction category they want to browse and sell items in by default. The list of categories is loaded from the database and exposed with a getter method.
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When using aspects to introduce crosscutting concerns into a system, I have often found it necessary to throw a checked exception that was not originally part of the join point s list of declared exceptions. On each occasion, I had to make a few choices in handling the specific exception for the crosscutting concern, and I needed a pattern to deal with all these situations in a consistent way. For that reason, I created the exception introduction pattern to address concern-specific checked exceptions in a systematic manner. In this book, you will see examples of this pattern in chapters 10 and 11. AspectJ does not allow an advice to declare that it may throw a checked exception (an exception that extends Exception directly or indirectly instead of
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public class ReadFile extends Activity { private TextView readOutput; private Button gotoReadResource; @Override public void onCreate(Bundle icicle) { super.onCreate(icicle); setContentView(R.layout.read_file); readOutput = (TextView) findViewById(; FileInputStream fis = null; Use try { openFileInput fis = openFileInput("filename.txt"); for stream byte[] reader = new byte[fis.available()]; while ( != -1) {} Read data readOutput.setText(new String(reader)); from stream } catch (IOException e) { Log.e("ReadFile", e.getMessage(), e); } finally { if (fis != null) { try { fis.close(); } catch (IOException e) { // swallow } } } . . . goto next Activity via startActivity omitted for brevity } }
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public class GenericDAO { protected DataSource ds = null; public GenericDAO(DataSource ds) { this.ds = ds; } public Document getData(String SQL) throws Exception { Document doc = new Document(new Element("Result-Set")); Connection con = null; Statement stmt = null; ResultSet rs = null; try { con = ds.getConnection(); stmt = con.createStatement(); rs = stmt.executeQuery(SQL); ResultSetMetaData rsmd = rs.getMetaData(); Inspects metadata int cols = rsmd.getColumnCount(); int i = 1; Element root = doc.getRootElement(); while ( { Element row = new Element("row"); row.addAttribute("row-number", String.valueOf(i)); for (int j = 1; j <= cols; j++) { Iterates and Element column = new Element("column"); populates column.addAttribute("column-name", JDOM rsmd.getColumnName(j)); column.addAttribute("column-type", rsmd.getColumnTypeName(j));
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Table 7-1. Form properties (continued) Property
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The indexer in Example 7-24 doesn t really contain any elements at all it just makes up a value in the get, and prints out the value passed into set without storing it anywhere. So if you run this code, you ll see this output:
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Listing 4.23
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You can think of each state the message goes through as a separate worker role, connected together with a queue for each state. Instead of one worker doing all of the work for a single order, it only processes one of the states for each order. The different queues represent the different states the message could have. Figure 15.9 compares a big worker that performs all of the work, to a series of smaller workers that break the work out (validating, shipping, and notifying workers). There might also be some other processing states you want to plan for. Perhaps one for really bad orders that need to be looked at by a real human, or perhaps you have platinum-level customers who get their orders processed and shipped before normal run-of-the-mill customers. The platinum orders would go into a queue that s processed by a dedicated pool of instances. You could even have a bad order routed to an Azure table. A customer service representative could then access that data with a CRM application or a simple InfoPath
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tvw.Nodes.Clear( );
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response code sent back by the web server. We check the title anyway, to verify we have fetched the correct file and that the link in the index page was correct. We also want to verify that our unhappy.jsp page is working correctly, that it returns a 500 error code when fetched. We use a separate test for this:
<mapping class="com.manning.hsia.dvdstore.model.Item"/> <mapping class="com.manning.hsia.dvdstore.model.Distributor"/> <mapping class="com.manning.hsia.dvdstore.model.Category"/> </session-factory> </hibernate-configuration> public class HibernateSearchIntegrationTest { protected SessionFactory factory; @BeforeTest(groups={"hibernatesearch"}) protected void setUp() throws Exception { AnnotationConfiguration configuration = new AnnotationConfiguration();
take advantage of out of the box. The four types are shown in table 9.2.
Listing 10.9 Our base view page class
<target name="noop"> <echo>no-op in ${}</echo> </target>
Project |
CharPtr buttonText = new CharPtr("Exit"); ControlType buttonControl = OS.CtlNewControl(formPP, 0, buttonCtl, buttonText, 125, 100, 30, 15, 1, 0, ctrue); buttonText.dispose();
A software development effort begins with analysis of the problem domain (assuming that no legacy code or legacy database already exist). At this stage, you, with the help of problem domain experts, identify the main entities that are relevant to the software system. Entities are usually notions understood by users of the system: Payment, Customer, Order, Item, Bid, and so forth. Some entities might be abstractions of less concrete things the user thinks about (for example, PricingAlgorithm), but even these would usually be understandable to the user. All these entities are found in the conceptual view of the business, which we sometimes call a business model. Developers of object-oriented software analyze the business model and create an object model, still at the conceptual level (no Java code).This object model may be as simple as a mental image existing only in the mind of the developer, or it may be as elaborate as a UML class diagram (as in figure 3.1) created by a CASE (Computer-Aided Software Engineering) tool like ArgoUML or TogetherJ. This simple model contains entities that you re bound to find in any typical auction system: Category, Item, and User. The entities and their relationships (and perhaps their attributes) are all represented by this model of the problem domain. We call this kind of model an object-oriented model of entities from the problem domain, encompassing only those entities that are of interest to the user a domain model. It s an abstract view of the real world. We refer to this model when we implement our persistent Java classes. Let s examine the outcome of our analysis of the problem domain of the CaveatEmptor application.
Called during construction
</LinearLayout> <ImageView android:id="@+id/PictureFrame" android:layout_width="320px" android:layout_height="240px" android:scaleType="centerCrop" android:layout_gravity="center_vertical|center_horizontal"/> </LinearLayout>
The DrawInterface: vertical position marks, separators, and tabs
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