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As a starting point, you might want to work out the actual number of rows returned: There are nine different (nonnull) values of n1 in table t1, at 10 rows per value for a total of 90 rows For each of those rows, there are 10 rows in table t2 so joining t1 to t2 will give 900 rows For each of the joined rows, there are 10 rows in t3 so the final join will be 9,000 rows And 9i has got the right answer The first clue about the difference comes from a more detailed explain plan Use explain plan and dbms_xplan in 9i and you will find that three extra (filter) predicates have appeared from somewhere: t1n1 is not null t2n1 is not null t3n1 is not null These predicates are there because they have to be true after all if t1.

vb.net data matrix reader

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This is because XPath is based on the same slash-based syntax to locate items The following XPath expression, for example, would locate all of the <User> elements in our sample XML document: /Friends/User The first slash indicates that the search should start from the root node of the document The following elements compose a path, called a location path, that leads to the elements you want to be included in the result When an XPath expression like this is executed, the result is a node set (or collection of nodes) The slash after <Friends> is the axis for the next element, <User> It means that the next node is a child of <Friends> XPath defines many other axes, such as parent and sibling.

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n1 = t1n2, then neither column can be null This affects the calculations, because if they appear as filter predicates, you have to change the bit in the join selectivity formula that caters to null values: the (num_rows - num_nulls) / num_rows factor So the old-style 8i calculations look like this: T1 to T2: the tables with 100 and 120 rows respectively: Join Selectivity = (100 - 10) / 100) * (120 - 10) / 120) / greater(9, 11) = 0075 Join Cardinality = 0075 * 100 * 120 = 900.

We could refine this query by adding some further constraints on the results we wanted returned: /Friends/User[LastName="Brown"] This revised expression would return only those <User> elements for which the <LastName> child element has the text value Brown The constraint is called the predicate Let s dissect this expression:.

This chart wraps an XY dataset with a Scatter plot. Listing 13-40. JRXML Syntax <!ELEMENT scatterChart (chart, xyDataset, scatterPlot)>

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Intermediate to T3: the table with 150 rows: Join Selectivity = (120 - 10) / 120) * -- the CBO uses the t2 figures at one end (150 - 10) / 150) / -- of the join, and the t3 at the other. greater(11, 14) = 0.0611111 Join Cardinality = 0.061111 * 900 * 150 = 8,250 But the new-style 9i calculations look like this: T1 to T2: the tables with 100 and 120 rows respectively: Join Selectivity = 1 / greater(9, 11) = 0.09090909 Join Cardinality = 0.09090909 * 90 * 110 = 900 Intermediate to T3: the table with 150 rows: Join Selectivity = 1 / greater(11, 14) = 0.0714285 Join Cardinality = 0.0714285 * 900 * 140 = 9,000

A set consisting of an axis (optional) plus a node test and an optional predicate is referred to as a location step. The example has two location steps: /Friends, and /User[LastName="Brown"]. The axis determines the direction in which to move down the location path. You can move to child nodes, as in this example, with the forward slash, which means that the next step is evaluated against the children of the previously evaluated step. Other possibilities include moving to the parent node (../), staying in the current node (.), or moving to an attribute (/@). Another important feature of XPath is its numeric, string, and Boolean functions, which include count(), sum(), string-length(), starts-width(), contains(), and some others.

(as required)

For more information about XPath, visit http://www.w3c.org/TR/xpath. You can find the complete Tip

This chart is usable only with an XYZ dataset and only in combination with a Bubble plot. Listing 13-41. JRXML Syntax <!ELEMENT bubbleChart (chart, xyzDataset, bubblePlot)>

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