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group by skew order by skew ; m_statrecepc := m_val_arraycount; Here we collect the values and counts from the column into a pair of varray types, and record the array size ready for a call to prepare_column_values: dbms_statsprepare_column_values( srec => m_statrec, numvals => m_val_array ); The code also reads the column statistics into local variables, modifies the variables, and then writes them back to the data dictionary using get_column_stats and set_column_stats respectively to read and write the values Unfortunately, the call to set_column_stats does not recognize that we are creating a frequency histogram, and so leaves the density unchanged thus we have to use a little extra code to calculate the appropriate value before calling set_column_stats One final thought about frequency histograms and the ease with which you can create them.

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A prefix is mapped to a namespace by means of the xmlns attribute: <xs:schema xmlns:xs="http://wwww3org/2001/XMLSchema" Here, the xs prefix is mapped to the W3C XML Schema namespace, and the prefix is used to specify that the schema element belongs to it (xs:schema) Multiple namespace/prefix mappings can be defined So, how do we plan to use XML namespaces in the Friends Reunion example Well, namespace names are used both in the XSD file that contains the schema and in the XML document that contains the data They are needed in the latter so that the application using the document knows to which namespace the elements in the document belong..

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Although I would advise great caution when manipulating the statistics held in the data dictionary, the procedures are available, and they can be used You know more about your data and the way your data is used than the optimizer can possibly work out It is perfectly reasonable to invent some numbers that are a more accurate representation of the truth than the image the optimizer sees For example assume you have a table with 1,000,000 rows, but the end users are only ever interested in 100,000 of those rows, which include a particular column that holds only 25 different values It might be a perfectly sensible strategy to create a frequency histogram that uses a query against just those 100,000 rows and sets the column statistics to claim that the other 900,000 rows hold nulls.

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In the schema document you created in the previous exercise, you use a (unique) URI to identify the target namespace of this XML Schema: < xml version="1.0" encoding="utf-8" > <xs:schema id="Friends" targetNamespace="http://www.apress.com/schemas/friendsreunion" elementFormDefault="qualified" xmlns="http://www.apress.com/schemas/friendsreunion" xmlns:mstns="http://www.apress.com/schemas/friendsreunion" xmlns:xs="http://www.w3.org/2001/XMLSchema"> </xs:schema> The targetNamespace attribute defines which namespace this schema defines. All element, attribute, and type definitions in the schema will belong to this namespace. The xmlns attribute specifies the default namespace of the schema. Here, it is set to the same value that you just set for the targetNamespace attribute. The effect of this is that any element appearing inside the schema element without a prefix will be assumed to belong to that namespace. Note that the value of the <xs:schema> element s elementFormDefault attribute comes into play here: <xs:schema id="Friends" targetNamespace="http://www.apress.com/schemas/friendsreunion" elementFormDefault="qualified" ... > This attribute is set to qualified, which means that in this schema, all elements defined anywhere will belong to the target namespace. The default is that only the elements defined directly under the root schema element belong to the namespace (elementFormDefault="unqualified"). This is common practice and ensures consistent placement of both top-level and nested elements in the same namespace.

The JRJdtCompiler report compiler can use special JasperReports configuration properties to configure the underlying JDT Java compiler. This report compiler collects all the JasperReports configuration properties (the ones usually set in the jasperreports.properties file) that start with the org.eclipse.jdt.core. prefix and passes them to the JDT Java compiler when compiling the generated Java class to evaluate report expressions. One of the uses of this mechanism is to instruct the JDT compiler to observe Java 1.5 code compatibility. To do so, the following properties should be set: org.eclipse.jdt.core.compiler.source=1.5 org.eclipse.jdt.core.compiler.compliance=1.5 org.eclipse.jdt.core.compiler.codegen.TargetPlatform=1.5 This is demonstrated in the /demo/samples/java1.5 sample distributed with JasperReports.

As another example if you have a column holding 400 different values, Oracle will only be able to create a height balanced histogram This may well be too crude for your purposes You might want to try creating a frequency histogram that describes the 254 most popular values instead..

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