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We have been told endlessly that we should always include an order by clause if we want the data in a specific order, and not rely on an accidental sort performed by the group by. Although this is a dictate that we ought to follow unswervingly, that doesn t mean the optimizer actually has to perform both operations if it can find a cheaper alternative.
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This was followed by just six plans (3 * 2 * 1) that all had the fact_tab in the last position in other words, the optimizer only tried to find an execution plan that was a proper star join, and didn t consider any others. The star hint doesn t help the optimizer to find that star join execution plan; it stops the optimizer from wasting time on other options. Hints, generally, are designed to limit the actions of the optimizer, and the star hint demonstrates this very clearly. As a little follow-up, I also created a test case with seven dimension tables. Interestingly, when hinted with the star hint, the optimizer examined all 5,040 possible join orders ignoring the fact that the parameter _optimizer_max_permutations was set to 2,000. In the absence of the star hint, 9i examined 10 join orders under the heading general plans, one join order under the head star plans (8i did all 5,040 at this point), and four join orders under the heading additional plans. It seems the star hint allows the optimizer to bypass the normal short-circuit code that makes a trade-off between the extra time required to check more join orders and the risk of missing a better execution plan. Mind you, the optimizer managed to get through all 5,040 join orders in 0.27 seconds (they were all simple join orders with no extra options for indexed access paths, and it was a 2.8 GHz CPU).
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So far, you know how to combine Flex and Java using HTTP and web services. The last chapter surveyed a bunch of alternative mechanisms to achieve this. Most of these mechanisms involve loosely coupled text-based data interchange. Most of them interact by pulling data. Only one of them, Hessian, transmits binary data. Only one, Hessian again (with additional infrastructure powered by the new Java IO), allows data push. Now, we delve into more tightly coupled scenarios and efficient binary data transmission using AMF (Action Message Format). The AMF specification can be accessed online at This chapter looks at both pull- and push-based interactions using data services and media servers. Adobe offers two alternatives for data services the commercial LifeCycle Data Services (LCDS) and the open source BlazeDS and it offers a suite of products for media servers: Flash Media Server (FMS) products. There are a few open source alternatives to these as well. In this chapter, I will analyze these products in the context of their applicability to rich, engaging enterprisegrade applications. Functionally they can be divided into the following two topics:
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As with the regular RIM crypto package, you will need to catch CryptoException and IOException. Even if your application has received Certicom signatures, there s still a small chance that the required crypto libraries will not be loaded on the device, in which case your app may choose to present an error message. Caution: Several class names in the RIM crypto package clash with those found in the standard Java libraries and other packages. For example, RSAPrivateKey is used both in net.rim.device.api.crypto and in Double-check the package names of your imports. If you wish to store keys for crypto operations, consider using the keystore classes located in the net.device.api.crypto.keystore package. You can choose from a variety of keystore types, including stores that only persist until the device is reset and stores that can be synced to the user s computer via the desktop manager. Also available under the crypto package are classes for certificate management, useful to help control and determine the authority that backs keys you receive. barcode128
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The UPDATE command will update columns of information on rows within a single table returned from a query that can include selection and join criteria. The syntax of the UPDATE command has similarities to the SELECT command, which makes sense, as it has to look for specific rows to update, just as the SELECT statement looks for rows to retrieve. You will also find that before doing updates, especially more complex updates, to build up a SELECT statement first and then transferring the JOIN and WHERE details in to the UPDATE statement. The syntax that follows is in its simplest form. Once you become more experienced, the UPDATE command can become just as complex and versatile as the SELECT statement. UPDATE [ TOP ( expression ) [ PERCENT ] ] [[ server_name . database_name . schema_name . | database_name .[ schema_name ] . | schema_name .] table_or_viewname SET { column_name = { expression | DEFAULT | NULL } | column_name { .WRITE ( expression , @Offset , @Length ) } | @variable = expression | @variable = column = expression [ ,...n ] } [ ,...n ] [FROM { <table_source> } [ ,...n ] ] [ WHERE { <search_condition>] The first set of options we know from the SELECT statement. The tablename clause is simply the name of the table on which to perform the UPDATE. Moving on to the next line of the syntax, we reach the SET clause. It is in this clause that any updates to a column take place. One or more columns can be updated at any one time, but each column to be updated must be separated by a comma. When updating a column, there are four choices that can be made for data updates. This can be through a direct value setting, a section of a value setting providing that the recipient column is varchar, nvarchar, or varbinary, the value from a variable, or a value from another column, even from another table. We can even have mathematical functions or variable manipulations included in the right-hand clause, have concatenated columns, or have manipulated the contents through STRING, DATE, or any other function. Providing that the end result sees the left-hand side having the same data type as the right-hand side, the update will then be successful. As a result, we cannot place a character value into a numeric data type field without converting the character to a numeric value. If we are updating a column with a value from another column, the only value that it is possible to use is the value from the same row of information in another column, provided this column has an appropriate data type. When we say same row, remember that when tables are joined together, this means that values from these joined tables can also be used as they are within the same row of information. Also, the expression could also be the result of a subquery.
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Database Mirroring
Create a new Flex project and call it GoogleMerchantCenterExample. Here is the complete code of the application for sending a request to Google Merchant Center and receiving a response with the results:
s Note You can navigate among wizard screens by clicking on the Previous and the Next buttons.
For some reason, vital Ubuntu software hasn t been correctly copied to the machine. At the login prompt, type your username, and type your password when it s requested. Then, at the command prompt, type the following:
C++/CLI allows you to also define a function that gets called when the garbage collector actually frees your object. This special function is called the finalizer. If you don t deal with unmanaged resources (e.g., native classes, native file handles, window handles, device contexts, and the like), you don t need finalizers, and you can skim this section. Just use destructors for your usual cleanup operations. If you do use these resources, you need to read and understand this section closely. The runtime is allowed to call the finalizer at any time after the object is no longer being used. There is no guaranteed order in which objects finalizers are called. The practical result of this is that an object s members (if they are also managed objects) may have already been finalized by the time the finalizer runs on your object. Thus, you should use the destructor for explicit cleanup of managed objects, or just allow the garbage collector to handle it. The finalizer is indicated by a function preceded by an exclamation mark (!), as in this example: !R() { Console::WriteLine("R finalizer"); } Try an experiment with the code in Listing 6-15 to see when the destructor and finalizer get called.
Of course, you ll have the same insecurities and lack of desktop blanking that plague VNC connections to a Ubuntu desktop, as described previously. But if you re prepared to accept this, you ll be pleased to hear that setting up the VNC server on the Windows machine is easy. TightVNC, available from, is one of the best variations of VNC around. You should download the self-installing package for Windows. During installation, you ll be asked if you want to register TightVNC as a system service. Click the check box alongside this option. This will activate the VNC server every time the computer starts. Once the program is installed, the server configuration program will appear. You should change the password by overtyping the default in the Password field. Connecting to the remote Windows machine is also a piece of cake. On the Ubuntu system, open Remote Desktop Viewer (Applications Internet Remote Desktop Viewer) and click the Connect button. Type the remote computer s IP address into the Host field, and then click Connect. There s no need to fill in any of the other details. You ll be prompted for the remote computer s VNC server password and, once you enter this, the remote desktop will appear in a window. Figure 33-5 shows an example of connecting to a Windows 98 computer.
String localizedName = map.getActionName("upload"); String uploadAction = map.getAction("Update Data");
Building and Scheduling the Project
Figure 7-15. Web Site Administration Tool
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