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are used on columns that uniquely identify each row of a table. If you set a primary key column to also be a serial column, PostgreSQL Server automatically fills that column with values when adding new rows (in other words, it generates new IDs),ensuring that the values are unique. Serial columns are defined using the serial data type. This data type is not a real data type but a notation that automatically defines a SEQUENCE structure over the integer data type. The following SQL code creates a table named department with a serial column that is also the primary key: CREATE TABLE department ( department_id SERIAL NOT NULL, name VARCHAR(50) NOT NULL, description VARCHAR(1000), CONSTRAINT pk_department_id PRIMARY KEY (department_id) ); This is in fact a shorter form of CREATE SEQUENCE department_department_id_seq; CREATE TABLE department ( department_id INTEGER NOT NULL DEFAULT nextval('department_department_id_seq'), name VARCHAR(50) NOT NULL, description VARCHAR(1000), CONSTRAINT pk_department PRIMARY KEY (department_id) ); When setting a serial column, the first value that PostgreSQL Server provides for that column is 1, but you can change this before adding data to your table with an SQL statement like the following: ALTER SEQUENCE department_department_id_seq RESTART WITH 123; This way, your PostgreSQL server will start generating values with 123. Now you understand that the default value shown in Figure 3-9 for department_id uses the sequence to generate new values for the column. For more details about the serial data type, see its official documentation at http://www.postgresql.org/docs/current/interactive/datatype.html#DATATYPE-SERIAL. The documentation for updating the sequence can be found at http://www.postgresql.org/ docs/current/interactive/sql-altersequence.html.

/** * An implementation of {@link org.apache.hivemind.ServiceImplementationFactory} * that retrieved a stateless session EJB via JNDI. */ public class EJB3Factory implements ServiceImplementationFactory { private static Log log = LogFactory.getLog(EJB3Factory.class); public Object createCoreServiceImplementation( ServiceImplementationFactoryParameters factoryParameters) { EJB3FactoryParameters proxyParameters = (EJB3FactoryParameters) factoryParameters.getParameters().get(0); String remoteInterfaceClass = proxyParameters.getRemoteInterface(); Module module = factoryParameters.getInvokingModule(); Class remoteInterface = module.resolveType(remoteInterfaceClass); Object result = null; try { InitialContext context = new InitialContext(); result = context.lookup(remoteInterface.getName()); } catch (Exception ex) { log.error("Could not retrieve service", ex); throw new ApplicationRuntimeException(ex); } return result; } } In the body of the createCoreServiceImplementation method we use the parameter remoteInterface of type Class and use the full class name as the JNDI lookup string to retrieve the stateless session bean. Notice that the method takes a parameter of type ServiceImplementationFactoryParameters. Luckily you don t have to implement this interface since HiveMind will take any simple POJO and create an instance of

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Note Unlike other database servers, PostgreSQL still allows you to manually specify for an autonumbered

QScopedPointers are handy to have around in large functions with multiple exit points, where it s likely you ll forget to free an object. They re especially useful in doing device programming, where it s best to make light use of stack allocation, because the stack size on mobile devices is much smaller than what you re used to on desktop or server platforms.

Indexes are related to PostgreSQL performance tuning, so we ll mention them only briefly here Indexes are database objects meant to increase the overall speed of database operations Indexes work on the presumption that the vast majority of database operations are read operations Indexes increase the speed of search operations but slow down insert, delete, and update operations Usually, the gains of using indexes considerably outweigh the drawbacks On a table, you can create one or more indexes, with each index working on one column or on a set of columns When a table is indexed on a specific column, its rows are either indexed or physically arranged based on the values of that column and the type of index This makes search operations on that column very fast.

ServiceImplementationFactoryParameters that includes the contents of the POJO. Listing 7-16 shows the simple POJO used to hold the configuration parameters for the EJB3Factory. Listing 7-16. EJB3FactoryParameters public class EJB3FactoryParameters { private String remoteInterface; public String getRemoteInterface() { return remoteInterface; } public void setRemoteInterface(String remoteInterface) { this.remoteInterface = remoteInterface; } } The next step is to make our service available by declaring it in the HiveMind configuration. The HiveMind configuration is a simple XML file akin to the Spring application context in which you can define services and wire collaborators. Listing 7-17 shows the service point definition for the EJB3Factory and the ConferenceService which uses the EJB3Factory. Listing 7-17. EJB3FactoryParameters in HiveMind Configuration (hivemodule.xml) < xml version="1.0" > <module id="app" version="1.0.0" package="com.integrallis.techconf"> ... <!-- =================================================================== --> <!-- Service Point for EJB3 Factory --> <!-- =================================================================== --> <service-point id="EJB3Factory" interface="org.apache.hivemind.ServiceImplementationFactory"> <parameters-schema> <element name="construct"> <attribute name="remote-interface" required="true" /> <conversion class="com.integrallis.techconf.web.tapestry.hivemind.EJB3FactoryParameters"> <map attribute="remote-interface" property="remoteInterface"/> </conversion> </element> </parameters-schema> <invoke-factory model="singleton"> <construct class="com.integrallis.techconf.web.tapestry.hivemind.EJB3Factory" /> </invoke-factory>

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