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Now when the response comes back, you ll receive it in the result(event:Object) method. In the IResponderImplClass, you would take event.result and get the response-concatenated string from it. We ve kept this example simple to help you stay focused on understanding the main ideas instead of getting lost in the details.
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The data for each column appears (as plain text) between the start tag (for example, <productname>) and the end tag (for example, </productname>) for each column element. Note that the <products> elements represent individual rows, not the whole table. So, the column elements are contained within the start tag <products> and end tag </products> for each row. If you scroll to the bottom of the XML file, you ll find the end tag </NewDataSet> for the dataset.
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The portal may know the user because they have just logged in or it may recall their previous visit to the site by registering a cookie. If the user has never visited the site before and they are not logged in, then no user attribute information is available to the portlet. The attributes are provided as key value pairs so the specification has sensibly selected the standard Map interface from the collection classes as the means of accessing them. This map is obtained from the conventional attributes by means of the predefined key PortletRequest.USER_INFO.
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let length = sqrt (dx * dx + dy * dy) do if abs (length - 1.0) >= tolerance then failwith "not a unit vector"; member v.DX = dx member v.DY = dy new() = UnitVector2D (1.0,0.0) This example shows something else: sometimes it s convenient for a class to have multiple constructors. You do this by adding extra explicit constructors using a member named new. These must ultimately construct an instance of the object via the primary constructor. The inferred signature for this type contains two constructors: type UnitVector2D = new : unit -> UnitVector2D new : dx:float * dy:float -> UnitVector2D member DX : float member DY : float This represents a form of method overloading, covered in more detail in the Adding Method Overloading section later in this chapter. Class types can also include static bindings. For example, this can be used to ensure only one vector object is allocated for the Zero and One properties of the vector type: /// A class including some static bindings type Vector2D(dx: float, dy: float) = static let zero = Vector2D(0.0, 0.0) static let onex = Vector2D(1.0, 0.0) static let oney = Vector2D(0.0, 1.0) /// Get the zero vector static member Zero = zero /// Get a constant vector along the X axis of length one static member OneX = onex /// Get a constant vector along the Y axis of length one static member OneY = oney Static bindings in classes are initialized once, along with other module and static bindings in the file. If the class type is generic, it s initialized once per concrete type generic instantiation.
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Script unnest_cost_02.sql in the online code suite has an example where the optimizer in 10g seems to choose to unnest, even though the filter option has a lower cost. However, the chosen path is actually reported as a semi-join rather than a simple join after unnesting, so there may be some heuristic (i.e., rule) that blocks filters in favor of semi-joins. Examination of the 10053 trace file shows that only one possible execution method (a join) was considered so there must have been a transformation applied before the option to use a filter has been considered. Hang on to your no_unnest hint you may need it from time to time. The script unnest_cost_01a.sql in the online code suite shows a couple of variations on the theme of the average salary question. The first is a noncorrelated single row subquery instead of checking employees with a salary greater than the average for their department, we find the employees with a salary higher than the average for the company: select outer.* from emp outer where outer.sal > ( select from ) ; As usual, 8i does its filtering thing, and forgets to allow for the cost of the subquery. In fact, it is barely possible to notice the difference between the execution plan for the original better than average for the department query and the modified query in 8i. Execution Plan ( autotrace) ---------------------------------------------------------0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=34 Card=1000 Bytes=72000) 1 0 FILTER 2 1 TABLE ACCESS (FULL) OF 'EMP' (Cost=34 Card=1000 Bytes=72000) 3 1 SORT (AGGREGATE) 4 3 TABLE ACCESS (FULL) OF 'EMP' (Cost=34 Card=20000 Bytes=100000) As with the filter execution for the correlated subquery we ran at the start of the chapter, we have an execution plan that appears to say we will scan the emp table and calculate the average once per row. The only difference between this plan and the plan for the correlated subquery is that the cardinality for the aggregation tablescan on line 4 is 20,000 (for the full table) rather than the 3,334 for each department reported in the first execution plan. When we move on to 9i, we see the following changes: Execution Plan ( autotrace) ---------------------------------------------------------0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=35 Card=1000 Bytes=72000) 1 0 TABLE ACCESS (FULL) OF 'EMP' (Cost=35 Card=1000 Bytes=72000) 2 1 SORT (AGGREGATE) 3 2 TABLE ACCESS (FULL) OF 'EMP' (Cost=35 Card=20000 Bytes=100000) avg(inner.sal) emp inner
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The testAddItem method essentially takes an object and adds it to a collection, so you can easily test that by calling the method and passing an employee s information as well as then checking that the collection holds the same value you added.
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them, using one or more data tables instead of one (or more) datasets is easier to code and takes up fewer runtime resources.
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looks similar to the third-party commercial partition tools you may have already used. You can run this utility by starting Ubuntu in live distro mode and selecting System Partition Editor from the menu. Once you have made the desired changes with this partition editor, you can reboot and start the Ubuntu installer again. Then when you manually edit the partitions in the installer, you need to set mount points only on the partitions that you created in GParted.
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MediaElement Events
CHAPTER 5: Production Support
Ease of Implementation
The HTML filter strips or escapes any tags that are not explicitly allowed. The administrator controls the list of allowed tags for the content. To see exactly how this filter behaves, click the Configure tab for one of the filter formats for which the HTML filter is enabled (administer input formats configure configure). The first option, Filter HTML Tags, specifies whether HTML tags are removed from the output completely or escaped so that the tag itself is visible in the output. Escaping involves replacing the following characters with their HTML entities: & (ampersand) becomes & " (double quote) becomes " ' (single quote) becomes ' < (less than) becomes < > (greater than) becomes > Escaping has the advantage that if a user enters a tag that isn t allowed, she sees the tag in the output and can conclude that using that tag won t work. The disadvantage is that she might leave the escaped tags there, detracting from the quality of the content.
Figure 6-14. Server output after IIS anonymous authentication is disabled
CHAPTER 8: Automating Administrative Tasks
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