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This type of chart is very similar to the Bar 3D chart in that it wraps together a Category dataset and a Bar 3D plot. Listing 13-34. JRXML Syntax <!ELEMENT stackedBar3DChart (chart, categoryDataset, bar3DPlot)>

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If we change the commented predicate, we see that the following would be an equally valid list of predicates. Remember, transitive closure only takes place if there is a literal constant somewhere in the chain, so we have to make this change manually; it can t happen automatically: and -and -and and t2.join1 = t1.join1 t2.join2 = t1.join2 t3.join3 = t2.join3 t3.join2 = t1.join2 t3.join4 = t1.join4 -- was t3.join2 = t2.join2

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Element Then 'Create the new node node = New TreeNode nodeText = readerLocalName AddAttributes(reader, node) You populate the attributes of the node at this time also Note that the code is generic, and it does not depend on whether the XML element is a <User>, <Attended>, or <Login> one At this point, you have the node properly initialized It s time to anchor it to the appropriate parent You do so by taking the last node in the hierarchy (if there s one), and adding this node as its child, without removing it from the hierarchy (that s the Peek method behavior): ' Anchor to its parent If hierarchyCount > 0 Then CType(hierarchyPeek(), TreeNode)NodesAdd(node) End If You won t have a parent when you re dealing with the root element <Friends>.

And under the 9i, the execution plan with this version of the join becomes the following:

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Next, you append the node to the hierarchy you re populating, by pushing it to the stack of nodes you have found so far This is the usual way of dealing with nested elements, in order to keep track of the last node and all its parents ' Set it as the last node in the stack hierarchyPush(node) The next node of interest is XmlNoteTypeText This type of node is the one that indicates that you have reached the content of an element; that is, its Value You reach this node type whenever there s actual content inside an element, and as the previous step must have been to add that element to the hierarchy, you know it s the one you need to assign the value to: ElseIf readerNodeType = XmlNodeType.

Execution Plan (9206 autotrace) ---------------------------------------------------------0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=109 Card=9074 Bytes=544440) 1 0 HASH JOIN (Cost=109 Card=9074 Bytes=544440) 2 1 TABLE ACCESS (FULL) OF 'T3' (Cost=28 Card=10000 Bytes=200000) 3 1 HASH JOIN (Cost=62 Card=62500 Bytes=2500000) 4 3 TABLE ACCESS (FULL) OF 'T1' (Cost=29 Card=10000 Bytes=200000) 5 3 TABLE ACCESS (FULL) OF 'T2' (Cost=28 Card=10000 Bytes=200000) Note particularly how the computed cardinality of the final result has dropped from 9,551 to 9,074 simply because we made a small and completely valid rearrangement of the predicates (which is the sort of thing you might do for purely cosmetic reasons to conform to coding standards), and the formula necessarily changed greater( 37, 38) to greater ( 37, 40) Arguably this is a defect of the optimizer.

Line charts are made of a Category dataset and a Line plot. Listing 13-35. JRXML Syntax <!ELEMENT lineChart (chart, categoryDataset, linePlot)>

Text Then ' If it's a text, set the text value of the last node CType(hierarchyPeek(), TreeNode)Text &= _ ": " & readerValue As noted, we retrieve the node through the Peek method, because we only need to assign its value, not actually remove it If we wanted to remove it on retrieval, we would use the Pop method instead..

We produced the intermediate cardinality of 62,500 in line 3 by using the selectivity of the join2 column from table t1, and then used this same selectivity when joining the intermediate result to table t3 to get a final cardinality of 9,074 But in the previous version of the text, we used the selectivity from table t1 to generate the intermediate result set, and then used the selectivity from table t2 to join the intermediate result set to table t3 In an ideal system, the optimizer should surely handle the selectivity of a column consistently all the way through a complex join There is a further impact to consider when you move to 10g With the first arrangement of predicates, the final cardinality is unchanged at 9,551; but if you switch to the second arrangement of predicates, the final cardinality becomes 9,301 (rather than 9,074).

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