Threading Issues in Java

Printing qrcode in Java Threading Issues

Figure 4-4. Using GROUP BY to aggregate values
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Try It Out: Creating an Index Graphically
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Figure 2-8. The Toolbox The Toolbox automatically has items grouped into their logical sections. Only controls/ components that pertain to the currently open document will be shown here. So, if you do not have a Web Form open, you will not see items in the Toolbox that pertain only to Web Forms. Table 2-2 lists the various groupings that are available out of the box. Table 2-2. The Toolbox Organization
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Starting to Blog and Building Your Community
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The TranslateTransform type allows you to change the position of a Silverlight object, both horizontally and vertically. The X property controls the position change on the horizontal axis, and the Y property
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C:\fsharp>dolphins.exe Known Dolphins: ["Delphinus capensis"; "Delphinus delphis"]
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Up until now, we have used XPathNavigator to navigate and read values from the underlying XML document. However, it is possible to modify the underlying document also, though the XPathNavigator must be obtained from the XmlDocument class to do so. XPathNavigator instances obtained from XPathDocument are read-only and hence cannot be used for editing. You can check whether an instance of XPathNavigator is editable by using its CanEdit property, which returns true if the instance is editable, and false otherwise. To see how an XML document can be modified with the help of XPathNavigator, you need to develop an application like the one shown in Figure 4-12.
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Creating and Consuming a WCF Service
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Importing a Contact
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Since the hash_area_size in the test case is 1MB, and the volume of data from the build table is nearly 2MB, we will have to dump about half the build table (1MB) to disk and reread it later (another 1MB). Since we are going to dump about half the build table, it seems likely that we will dump about half of the probe table (5MB) and reread it (another 5MB). Given these figures, we might hope to see an extra cost representing that 12MB (which equates to 1,536 blocks) of extra I/O. Of course, we saw from the 10104 trace file that the multiblock I/O size was 9 blocks so Oracle should have been dumping and rereading 9 blocks at a time, for a total of about 170 I/O requests. Unfortunately, the total cost of the join is 1,127. Since the two tablescans that went into the first pass of acquiring the data had a cost of 255 each, this means we have to explain an extra 1,127 2 * 255 = 617 units of cost. This seems a little high compared to our guesstimate. Clearly, the arithmetic done by the optimizer is not completely in sync with my description of how the hash join is working, and since my description is based to a fair degree on observing actual I/O patterns, you can infer that the cost calculation doesn t necessarily represent exactly what happens at run time. Just to confuse the issue if you run the query against 8i and 10g, you get costs of 1,079 and 1,081 respectively (the difference between these two results comes from the two table scans, not the join itself remember that you add one to tablescan costs from 9i onwards). What has actually happened in this case is that the run-time engine really has done the onepass join that we expected, but the optimizer has calculated that the join will require two passes. Moreover, the run-time engine in 9i has used a cluster size of nine even though the optimizer has based its calculations on a predicted cluster size of eight blocks (although in 8i and 10g the optimizer based its calculations on a predicted size of nine blocks, leading to a lower cost). Then the cost model has assumed that the run-time engine will dump the whole probe table, and reread the whole probe table because it hasn t worked out that we are doing a onepass join, which has some inherent I/O benefits. A final complication appears when it comes to deriving a cost for the multiblock writes and reads used to dump and reload the partitions; the optimizer adopts the same strategy for adjusting multiblock read figures that we saw in 2, and we can use the results we saw for tablescans to calculate the costs of hash joins. Because the optimizer is predicting the cluster size as eight blocks in the 9i calculations, it is using the value 6.588 to do the arithmetic for the cost. This issue highlights one of the difficulties of working out how the optimizer has derived the cost of a hash join. We don t know what cluster size the optimizer thinks it will be using it s not one of the figures that s printed in the 10053 trace so we don t know how many blocks the optimizer factors into a single I/O. Moreover, we cannot guarantee that the code in the run-time engine follows the assumptions built into the optimizer so even if we try to fine-tune memory to get the right cost, we can t guarantee that the run-time engine will behave for us anyway. Untangling the oddities and conflicting bits of information, we can finally work out that the value of 617 can be derived as follows:
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2. In the Customize dialog box, click the Add button in the Toolbar Content section to
package { [Bindable] public class CustomerVO { public var customerID:int; public var fname:String; public var lname:String; public var address:String; public var city:String; public var state:String; public var zip:String; public var phone:String; public var email:Date; public var updateDate:Date; public function CustomerVO(customerID:int, fname:String, lname:String, address:String, city:String, state:String, zip:String, phone:String, email:Date, updateDate:Date) { this.customerID = customerID; this.fname = fname; this.lname = lname;
CHAPTER 2 s CLIENT-SIDE REPORTING COMPONENTS
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You ve reached the top! Congratulations by learning the advanced BlackBerry APIs, discovering how to integrate with the phone s built-in applications, and discovering the tools to create polished and efficient professional apps, you have earned the right to call yourself an advanced BlackBerry developer. That said, there is still plenty to learn and even more to do out there. While this book has laid a broad foundation, it s up to you to build something on top of it. This section shares a few final thoughts on how to maintain an eager, up-to-date mindset towards BlackBerry development.
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