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In order to explain all the components that make up a policy and show you how they interact with each other, we will start by creating a new policy from scratch. To manually create a policy you must first create a condition, and then you will be able to create a policy that uses that condition. Once you have created a policy, you can place it in the appropriate category and apply it to one or more targets. This section will walk through the steps required to create a policy that checks to see if all of the databases on a server are using the full recovery model.

The code we have written obtains the connection and calls the stored function f_calculate to get the meaning of life, and then passes the calculated value to the p_actstartled stored procedure. We have moved the complex code to get the Connection to a utility class; we get a valid Connection on line // 1. Next, on line // 2, we prepare the call to the f_calculate stored function. The statement argument for the prepareCall method must be formatted in this way: { = call name(A)}, where the first question mark ( ) is the return value, name is the name of the function to call, and the A is the list of arguments. Line // 3 registers the type of the value returned from the function call in our case, the number type in Oracle maps to the Types.INTEGER. Line // 4 executes the function, and line // 5 gets the value returned from the function. To call a stored procedure, use the prepareCall method with slightly different syntax of the statement SQL code than the SQL code we used to call a stored function. The only difference is that a stored procedure does not return a value, so the statement syntax is just {call name(A)}, where the name is the name of the stored procedure, and A represents the arguments (see line // 6). On line // 7, we set the value of the argument to the procedure call, and finally, on line // 8 we execute the call.

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This inherent uncertainty in complex IT projects makes it hard to estimate tasks in a correct way early on Things happen along the way that throw aside earlier estimates Considering this, is it then realistic to measure a complex IT project against planned time To really know how projects are doing, we might want to consider whether this is just one of the measurements we can use..

There are many other JDBC concepts to discuss, but we will do so in the context of Spring s JDBC support. The other concepts that you are likely to use include handling binary large objects (BLOBs) and character large objects (CLOBs), and using cursors returned from stored procedures and functions. Another important feature of the JDBC framework is batch updates. This feature allows you to execute a large number of JDBC operations in a set, thus dramatically improving performance. Spring supports all the basic JDBC operations you have seen in this short introduction and adds elegant exception handling and connection management. Spring JDBC support simplifies all of the JDBC operations. Simplification does not mean that Spring hides the details, just that it contains all the boilerplate code so you can focus on the actual database code you need to implement.

Before we start discussing the specifics of Spring JDBC support, we need to take a look at Spring s general approach to data access. The examples in the previous section should have made very apparent the difficulties with verbose code and the use of checked exceptions. Another consideration is the management of open connections. Obviously, connections to the database are a scarce resource: if we open too many, the performance of the database will degrade rapidly; if we maintain only one active connection for the entire application, we are not using the database s full potential. However, reliably managing a pool of connections is difficult. Spring addresses all these concerns. Take a look at the exception hierarchy in Figure 9-3.

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