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Table 15-1 shows a list of the commands you can use in Command mode (consider photocopying it and sticking it to the side of your monitor as a handy reference).
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CHAPTER 14 UNDERS TA NDIN G LINUX FILES AN D US ERS
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Figure 9-26. Testing schema binding T-SQL 4. We now need to create the CREATE VIEW. First of all, we are completing a test to see whether the view already exists within the system catalogs. If it does, then we DROP it. Then we define the view using the WITH SCHEMABINDING clause. The other change to the T-SQL is to prefix the tables we are using with the schema that the tables come from. This is to ensure that the schema binding is successful and can regulate when a column is dropped.
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Next we create a context object to represent the authentication that is to be carried out. The username and password of the client principal are required here to obtain a Principal object. In your portlets you are able to retrieve a principal by invoking the getUserPrincipal() method, so no knowledge of the password is required. For the remote machine, however, we need to specify only the name of the principal. The authenticity of the server will be established with the GSS handshake:
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Pluto s deployment process is not terribly easy, and there are three distinct steps after you get Pluto running on your machine. The first is to set up Apache Maven (http://maven.apache.org). Check the Pluto installation instructions to determine which version of Maven to install.
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I have only included rows where there is some variation in the cardinalities as the range of the predicates move along the original data set. Once you run a test and build a chart like this, some details stand out very clearly, which I can summarize as follows: For a large fraction of the range between the column low and the column high, the standard formula applies we get 2,265 and 531 as the computed cardinality. (Of course, we know that neither answer matches the number of rows we will actually get, but the value is at least consistent with the standard formula.) As the predicate falls outside the range of the column values, then the cardinality falls back to num_rows / num_distinct. (13,000 / 13 = 1,000). The values in the greater than / less than columns for 1 through 5 and 95 through 99 (the two points where our requested ranges just touches the column low and high respectively) have to be the result of a piece of special case code, or a bug. All other values are a straight-line interpolation (adding roughly 133 per step) between the standard value and the boundary value of num_rows / num_distinct. The step in the cardinality (133) is num_rows / (column high column low) = 13,000 / 98. It s very satisfying to design a test that produces such a clear result so easily but having got this far, there really isn t a lot of extra benefit in knowing exactly when the rules change or even if the standard formula is actually more complex than I originally suggested. Perhaps the standard formula includes a component that is very small in almost all cases, but becomes visible at the boundaries and only when dealing with a small number of distinct values. Who can guess what the rationale is for this odd-looking behavior. I don t know why we get these results, but for my personal benefit, I now know that in cases where a critical column has a small number of distinct values and the range of the values is large compared to the number of distinct values, then a between or greater than / less than predicate on that column will behave badly especially near the low and high values for the column.
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The OPENROWSET syntax that we will be looking at is shown next, and it has to be used as if we are returning data from a table, therefore we would need to use the INSERT...SELECT FROM OPENROWSET functionality. FROM OPENROWSET(BULK 'name_of_file', type_of_operation) column_alias The first option is the name_of_file. This will define the location, the name, and the file type of the file we wish to bulk load. The second option allows us three different types of bulk loading: SINGLE_BLOB: This reads the file and creates one row and column of data, which is defined as varbinary(max). SINGLE_CLOB: Same as SINGLE_BLOB, except the data is varchar(max) using the collation of the database the query is run on. SINGLE_NCLOB: Same as SINGLE_CLOB, but the data is unicoded and therefore is nvarchar(max). Once the data has been bulk loaded, we need to give the column a column alias so we can refer to it within our SELECT statement. So the full statement would look like this: INSERT INTO table_name (column_in_table) SELECT column_alias.* FROM OPENROWSET(BULK 'name_of_file ',type_of_operation) column_alias To update a row, you would need to use OPENROWSET as a subquery to set the column you wish to modify.
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Protected Sub DropDownList1_SelectedIndexChanged (ByVal sender As Object, ByVal e As System.EventArgs) Handles DropDownList1.SelectedIndexChanged Dim dropdownSelectedMode As String = DropDownList1.SelectedValue Dim md As WebPartDisplayMode = _ _wpmmngr.SupportedDisplayModes(dropdownSelectedMode) If Not (md Is Nothing) Then _wpmmngr.DisplayMode = md End If End Sub This code will automatically change the display mode of the Web Parts when the different values are selected from the drop-down list.
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After filling in the settings and continuing, phpBB will tell you it created the forum, and it gives you a link to start filling in permissions another nice touch (before, you had to remember to set permissions). Permissions in phpBB 3.0 are vastly expanded over version 2.0, with the introduction of access control lists (ACLs). The new ACLs work with both individual users and user groups, as shown in Figure 8-27. You can add groups or users to the list and apply permissions to each object.
The two architectural components shown in Figure 2-1 are the database and the mail server. These are applications in their own right, standing outside your Spring application implementation. I have assumed that the mail server is available to you already. If you can send and receive e-mail, you already have access to one, and I think that is a reasonable assumption for readers of this book. The database is another matter. You may have no database readily available or you may have several. Installing a database (let alone administrating one) can be a complex task in itself, and I have therefore decided to use the HSQL (previously known as Hypersonic) embedded database. This can be used in several modes: Stand-alone as a network-accessible database manager Embedded as an in-memory database Embedded as a flat-file based database The full documentation for the HSQL database can be obtained from the website at http://hsqldb.sourceforge.net. I use the database in only the two embedded modes: in-memory for the benefit of unit tests (so that the database can be repeatedly created and destroyed without affecting subsequent tests) and as a flat-file based database for running the example application. Because I am using the database in embedded mode, I only need to obtain the library files in order to configure the database, and I do this by pulling it in as a Maven dependency (see the Maven section later in this chapter) so you don t need to explicitly download anything! If you want to use another database that s already available to you when running the example application, this is discussed in detail in 4.
s Relational database terminology is often confusing. For example, neither the meaning nor the pronunTip
Using Operator Overloads on Matrices and Vectors
Although your app can create events directly, you might prefer to give your user a chance to review and approve the event before saving it to the address book herself. The next example does just that, setting up an event but presenting it in the native calendar instead of committing it.
Event-driven programming is common in applications that use graphical user interfaces, including Windows and web applications. User actions such as clicking a button cause events to be raised within the program, and code can be written to respond to those events. Events can also be raised by other programs or by the operating system. Within C++/CLI there are a number of abstractions that help implement event-driven programming. C++/CLI events are defined as members of a managed type. Events in C++/CLI must be defined as members of a managed type. The idea of defining an event in a class is to associate a method that is to be called (or multiple methods that are to be called) when those events are raised. On a practical level, events are fired by calling a specific method, although those who are interested in handling the event often do not see the code that raises the event. At that point any event handlers that have been attached to that event are called to respond to the event. If you re going to write event-driven GUI applications, events are a mainstay since every time a mouse moves or the user hits the keyboard, an event occurs even if your application does not handle it. If you use Microsoft Foundation Classes (MFC), you know about the message map. Events in C++/CLI are a language feature that builds into the language the idea of a mapping between events and functions that handle those events. The context-sensitive keyword event is used to declare an event in a managed type. Like properties, there is a simple form and a more complex form of the declaration. You saw the simple form in 2. As a reminder, the simple form of the declaration looks like this: event EventHandler^ anEvent; Like the more complex form of the property declaration, the more complex form of the event declaration lets you define your own methods for adding and removing event handlers, and raising events (see Listing 7-15). The arguments to add and remove must match the event s declared type. Listing 7-15. Customizing Methods for an Event Handler event EventHandler^ Start { void add(EventHandler^ handler) { /* code to add an eventhandler to the invocation list */ } void remove(EventHandler^ handler) { /* code to remove an eventhandler from the invocation list */ } void raise(Object^ sender, EventArgs^ args) { /* code to fire the event */ } } Let s look at Listing 7-16. In this code, we create a managed class called Events that declares two events, Start and Exit. The type EventHandler, defined in the .NET Framework System namespace, is used. There are many types derived from EventHandler that could also be used. In fact, any delegate type could be used. Both events may be fired by calling a method on the class, RaiseStartEvent or RaiseExitEvent, which in turn invoke the event by simply using the name of the event as if it were a function call with the appropriate arguments. The appropriate arguments are determined by the delegate type that is used as the type of the event, in this case System::EventHandler, which takes an Object and the System::EventArgs parameter.
CHAPTER 3 DOCUMENT MAPPING
1. Our first example is a straight error where we have defined an integer local variable. Within our errorhandling block, after outputting a statement to demonstrate that we are within that block, we try to set a string to the variable. This is a standard error and will immediately move the execution to the CATCH block, and the last SELECT will not be executed. DECLARE @Probs int BEGIN TRY SELECT 'This will work' SELECT @Probs='Not Right' SELECT 10+5, 'This will also work, however the error means it will not run' END TRY BEGIN CATCH SELECT 'An error has occurred at line ' + LTRIM(STR(ERROR_LINE())) + ' with error ' + LTRIM(STR(ERROR_NUMBER())) + ' ' + ERROR_MESSAGE() END CATCH 2. When we run the code, we will see the first statement and then the SELECT statement that executes when the error is caught. We use the system functions to display relevant information, which appears in Figure 11-48.
Function Signature
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