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This is what you get from dbms_xplan for 9i (the computed cardinality is 52 in 10g): -------------------------------------------------------------------| Id | Operation | Name | Rows | Bytes | Cost | -------------------------------------------------------------------| 0 | SELECT STATEMENT | | 42 | 1428 | 57 | |* 1 | HASH JOIN | | 42 | 1428 | 57 | |* 2 | TABLE ACCESS FULL | T2 | 250 | 4250 | 28 | |* 3 | TABLE ACCESS FULL | T1 | 333 | 5661 | 28 | -------------------------------------------------------------------Predicate Information (identified by operation id): 1 - access("T2"."JOIN1"="T1"."JOIN1" AND "T2"."JOIN2"="T1"."JOIN2") 2 - filter("T2"."JOIN1"=20) 3 - filter("T1"."JOIN1"=20) Obviously something nasty has happened because the computed cardinality is down from a reasonably accurate 1,667 to a dangerously inaccurate 42. Check the Predicate Information the predicate t2.join1 = t1.join1 has reappeared. The optimizer did not need to use transitive closure to generate the predicate t2.join1 = 20, so the join predicate never got eliminated. In effect, this means that the optimizer doublecounts the selectivity on t2.join1, once for the join selectivity (the access), and once for the filtered cardinality (the filter). Repeating the arithmetic we did when we first saw a two-column selectivity, the join selectivity for this query is Join Selectivity = {join1 bit} * {join2 bit} =

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At this point, if you wished to disable validation, you could just add the following line: Return reader But instead, as you do want to validate, you use the XmlTextReader to create an instance of the XmlValidatingReader class You also set the validator s ValidationEventHandler property,.

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(10,000 - 0) / 10,000) * (10,000 - 0) / 10,000) / greater(30, 40) * (10,000 - 0) / 10,000) * (10,000 - 0) / 10,000) / greater(50, 40) = 1/40 * 1/50 = 1/2000 Then we apply this to the filtered cardinalities we got earlier on in this example to get the final result: Join Cardinality = (1 / 2000) * 10000 / 30 * 10000 / 40 = 333 * 250 / 2000 = 41.625 The result is different for 10g because of the multicolumn sanity check instead of a join selectivity of 1/2,000, the optimizer would pick the individual selectivities from whichever table produced the smaller results (in this case t2, giving 1/40 * 1/40 = 1/1,600). So for 10g we get Join Cardinality = (1 / 1600) * 10000 / 30 * 10000 / 40 = 333 * 250 / 2000 = 52.031 Historically, people have found bugs with the optimizer that allowed them to trick it into using different execution plans by repeating simple predicates. In recent versions (9i and above) the optimizer has been enhanced to eliminate duplicated predicates, but it can still be caught by little quirks in the area of predicate generation by transitive closure. The preceding example is just one case where things go wrong. Another example is this: select t1.v1, t2.v1 from t1, t2 where and and and ; t1.join1 t2.join1 t2.join1 t2.join2 = = = = 20 t1.join1 t1.join1 t1.join2

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Note You can still render special charts by making direct calls to the charting API inside a generic image

to tell it what method it should use to handle events (such as encountering errors) that occur during the validation process In this case, it will be the OnValidation() method: Dim validator As New XmlValidatingReader(reader) AddHandler validatorValidationEventHandler, AddressOf OnValidation We ll look at the OnValidation() method in a moment, to see how that works The validator needs a reference to the schema that it should validate against, through its property called Schemas, which is a collection of XmlSchema objects You read your schema using the static Read() method of the XmlSchema class, which loads and returns the specified schema Because you added permissions to Everyone to read the schema, the ASP NET application can load it directly from disk You get a reference to the physical file using ServerMapPath and read the schema from the stream: Dim schema As XmlSchema Dim fs As FileStream = File.

Notice the duplicated predicate. The optimizer ought to spot it and not consider it, and if the duplication had been on the join2 columns, this is exactly what would have happened.

OpenRead( _ ServerMapPath("~/Friendsxsd")) Try schema = XmlSchemaRead(fs, Nothing) Finally fsClose() End Try The second parameter to the Read() method is a validation handler to deal with any errors that are found in the schema itself In this case, we ll assume the schema is valid (since we created it) Once you ve loaded the schema, adding it to the collection of schemas for the validator is simple: validatorSchemasAdd(schema) Finally, you return the initialized XmlValidatingReader object: validatorValidationType = ValidationTypeSchema Return validator Now let s return to look at how errors are handled during the validation process You have created a class-level variable, _errors, that will help to handle the errors that can occur during the reading phase.

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