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Empty) The first argument to the method is the name of the attribute to retrieve, and the second is its namespace The attributes don t use namespaces, which is the default behavior in both XML and the XML Schema, as you saw in the previous chapter To process the child YearIn and YearOut elements, you need to move the navigator cursor into the children of the current Attended node This is achieved by the following method call: ' Iterate children of current Attended element attendedMoveToFirstChild() At this point, it s important to remark that you are sure there are children, thanks to our schema You know the document is valid, because you uploaded it with an XmlValidatingReader You can now appreciate the simplification in code that derives from that fact The method in this code returns a Boolean indicating whether or not it could move to the first child.

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You will note that the way the costs are displayed in the new plan doesn t reflect the modified form of the plan (or the notional saving in resources) The execution plan has simply moved the reference to the second table (line 3 in the traditional plan) to a point outside the nested loop (ie, to line 1 in the new form of the plan).

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You know it will always succeed; otherwise, the document would have been invalid in the first place If you had not used an XML Schema, you would have needed to add checks everywhere to ensure that the structure conformed to that expected by your code The code to access children values is a little more complicated than with XmlNodes, but once you get used to it, it s fairly easy Basically, you iterate until you run out of children (Loop While attendedMoveToNext()), checking the information in the current position to see if it s a node you re interested in: Do If attendedLocalName = "YearIn" AndAlso _ attendedNamespaceURI = ns Then rowCells(1)Text = attendedValue ElseIf attendedLocalName = "YearOut" AndAlso _.

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The crosstab calculation engine aggregates data by iterating through an associated dataset. This can be the parent report s main dataset or a dataset run that uses one of the report s declared subdatasets. Listing 14-3 gives the JRXML syntax for crosstab datasets. Listing 14-3. JRXML Syntax <!ELEMENT crosstabDataset (dataset )> <!ATTLIST crosstabDataset isDataPreSorted (true | false) "false" > Crosstab dataset resetting, incrementing, and filtering out data work the same as for chart datasets (explained in the Chart Datasets section of 13).

In principle, you might expect the costs and cardinality of the new plan to look more like the following: Execution Plan (Notional, with full disclosure of prefetch costing) ------------------------------------------------------------------0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=322 Card=319 Bytes=11803) 1 0 TABLE ACCESS (BY INDEX ROWID) OF 'TARGET' (Cost=322 Card=319 Bytes=11803) 2 1 SORT (ROWID LIST) (Cost= Card=319 Bytes= ) 3 2 NESTED LOOPS (Cost= Card=319 Bytes= ) 4 3 TABLE ACCESS (FULL) OF 'DRIVER' (Cost=3 Card=319 Bytes=2552) 5 3 INDEX (RANGE SCAN) OF 'T_PK' (UNIQUE) (Cost=1 Card=1) In fact, whichever form you see in the execution plan, the run-time engine may still use the mechanism shown in the traditional plan to date, I have only seen the execution engine use the new mechanism in one very special case.

attended.NamespaceURI = ns Then row.Cells(2).Text = attended.Value End If Loop While attended.MoveToNext() Retrieving the parent User element s ID requires moving the cursor upwards. As you have already moved into Attended s children, you need to move twice in that direction, and finally retrieve the attribute with the GetAttribute() method you used before: attended.MoveToParent() attended.MoveToParent() row.Cells(3).Text = attended.GetAttribute("ID", String.Empty) Once you have the results loaded in the table, you can change the values and click the Execute button again, to reload the table with the new values

The examples I have picked to show you the plan structure comes from a test case that also happens to show an interesting feature in later versions of 9i both plans came from exactly the same query (see script prefetch_test_02sql in the online code suite), where the theoretical access to the second table should have been a unique scan for a single row on the primary key index The reported execution plan actually switched mechanisms as the number of rows in the driving table changed as you can see in the line with the TABLE ACCESS (FULL) OF 'DRIVER', at 320 rows the traditional plan was reported, but at 319 rows the optimizer reported that it would switch to a range scan so that it could use the new mechanism.

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