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Using functions for data operations has the following advantages: The performance can be better because PostgreSQL generates and caches the function s execution plan when it s first executed Using functions allows for better maintainability of the data access and manipulation code, which is stored in a central place, and permits easier implementation of the three-tier architecture (the database functions forming the data tier) Security can be better controlled because PostgreSQL permits setting different security permissions for each individual function SQL queries created ad hoc in PHP code are more vulnerable to SQL injection attacks, which is a major security threat (Many Internet resources cover this security subject, such as the article at http://wwwsitepointcom/article/ sql-injection-attacks-safe.

) This might be a matter of taste, but separating the SQL logic from the PHP code keeps the PHP code cleaner and easier to manage; it looks better to just query a function, than to join strings to build SQL queries to pass to the database When developing HatShop, we ll save all the data access code as PostgreSQL functions inside the hatshop database These functions, as functions in any respectable language, have input parameters and return types In some of our examples, we ll define custom types for returning the results The syntax for creating functions is CREATE FUNCTION <name>(<param1 type>, <param2 type> .. ) RETURNS [SETOF] <return type> LANGUAGE plpgsql AS $$ <code> $$ Alternatively, you can specify the language (LANGUAGE plpgsql) at the end of the function code, after the closing $$..

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public class LocationLookupServiceBeanTest { private LocationLookupServiceBean service; private ZipcodeDAO mock; @Configuration(beforeTestClass = true) protected void setUp() throws ConfigurationException { ConfigurationLoader.loadMapping(new File(Paths.BASEDIR + "/dd/dynadto/Location.dto.xml")); mock = createMock(ZipcodeDAO.class); service = new LocationLookupServiceBean(); service.setZipcodeDAO(mock); service.setBuilderFactory(BuilderFactory.getInstance()); service.initialization(); } @Test(groups = {"services"}) public void testSearchLocations() { // data stub Zipcode stub = new Zipcode(); stub.setZip(43081); stub.setCity("Westerville"); stub.setState("OH"); List<Zipcode> stubList = new ArrayList<Zipcode>(); stubList.add(stub);

Many newcomers and those unfamiliar with Qt often think that Qt is only a GUI abstraction layer, completely overlooking the support Qt provides for networking, file system access, and other key components in application development. As you see in Figure 4 1, Qt provides a clean abstraction for working with various kinds of I/O devices, including files and sockets, too.

Note that you can t create a function if your database already has a function with the same name and parameter number and types. You can, however, have multiple functions with the same name but different parameters (this method is called overloading in OOP [Object Oriented Programming] terminology). The key is that when calling the function, PostgreSQL must know which version of the function to call, and it can do that if the parameters are different. To change an existing function, you should use CREATE OR REPLACE FUNCTION instead of CREATE FUNCTION, which creates the function if it doesn t already exist or updates the function if it does exist. We ll use types to specify what kind of data the function returns. A type is defined like this: CREATE TYPE name AS ( attribute_name data_type [, ... ] ) For the data tier of the departments list, you need to create a type called department_list and a function called catalog_get_departments_list. Let s do this in the following exercise.

// set expectations expect(mock.find("43081")).andReturn(stubList); replay(mock); // execute the test List<Location> locations = service.searchLocations("43081"); verify(mock); // check results Assert.assertEquals(locations.size(), 1); Location location = locations.get(0); Assert.assertEquals(location.getZip(), stub.getZip().toString()); Assert.assertEquals(location.getCity(), stub.getCity()); Assert.assertEquals(location.getState(), stub.getState()); } } Using mock objects is not rocket science, but with powerful framework like EasyMock we can use mock objects to truly isolate a class under test by creating an environment of simulated collaborators with predetermined behaviors for the context of a test. The same techniques applied to testing an EJB can be applied to any object that depends on another object to perform its work. Frameworks that promote coding to interfaces such as the Spring framework are the perfect candidates for mock object testing with a tool such as EasyMock.

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