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loadedAssembly = SystemReflectionAssemblyLoad(assemblyName) ' The XmlInvoice parameter is the argument to the constructor args(0) = xmlInvoice ret = loadedAssemblyCreateInstance(className, True, _ ReflectionBindingFlagsPublic And _ ReflectionBindingFlagsInstance, _ Nothing, args, Nothing, Nothing) Return ret End Function End Class The abstract classes in the data pipeline define the interface that the pipeline uses to pass the data along the pipeline They also provide a default implementation that the subclass can override when the vendor requires special treatment Lastly, the abstract base classes provide a set of utility functions that the subclasses can use to reuse code in common situations The first class handles transformation of data into the appropriate internal format Here s an example of the XML format that the system requires: < xml version="10" encoding="utf-8" > <Invoice VendorID="001" ProductName="WidgetComponent1" ProductID="212" Price=".

In this case, since we expect to find a single Customer record for John Doe, we start our FROM clause with that set of data: FROM Customer c Now, in order to intersect each of our data sets, we do an INNER JOIN on the key relationships from one data set to the next, until we ve chained them all together along their key relationships: INNER JOIN CustomerOrder co ON ccustomer_id = cocustomer_id INNER JOIN CustomerOrderItem coi ON coorder_id = coiorder_id INNER JOIN Product p ON coiproduct_id = pproduct_id Finally, we add our WHERE clause to filter the appropriate values from our Customer and CustomerOrder sets based on the criteria in our request: WHERE clast_name = 'Doe' AND cfirst_name = 'John' AND coordered_on = '2004-12-07'; Listing 7-2 shows the final SQL built from these data sets, along with the result.

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To overcome this, you must also configure host and service obsession on the master server and use the NSCA tool to send the check results to the slave server This method of implementation is called failover monitoring You can see a high-level diagram of a failover monitoring model in Figure 8-2..

Listing 7-2 Example of a Multiple Inner Join mysql> -> -> -> -> -> -> -> -> -> -> SELECT pname, psku, coiprice, coiweight FROM Customer c INNER JOIN CustomerOrder co ON ccustomer_id = cocustomer_id INNER JOIN CustomerOrderItem coi ON coorder_id = coiorder_id INNER JOIN Product p ON coiproduct_id = pproduct_id WHERE clast_name = 'Doe' AND cfirst_name = 'John' AND coordered_on = '2004-12-07';.

02" Quantity="12500"> </Invoice> Additional vendor-specific data is allowed if the vendor wants to supply it, in the form of additional XML attributes The base data transformation class caters to the case in which the vendor sends invoices in the desired XML format, and they therefore require no transformation The data is simply loaded into an XML document and returned to the caller Some vendors may send the file in a comma-delimited format, which needs to be parsed and loaded into an XML document before the method completes You might also want to include some utility functions to help import some commonly used file formats Public MustInherit Class Transformation Public Overridable Function TransformData(ByVal data As String) _ As Xml.

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+-------------+--------+-------+--------+ | name | sku | price | weight | +-------------+--------+-------+--------+ | Soccer Ball | SPT001 | 23.70 | 1.25 | +-------------+--------+-------+--------+ 1 row in set (0.00 sec) This technique, which we ll call top-down SQL, is just one method of building complex SQL statements. Throughout this chapter, we ll take a look at other techniques you can use to generate complex SQL statements for other types of joins.

XmlDocument ' The default behavior is that the data provider ' sends the data in an XML format that ' conforms to the rules of the internal XML schema Dim xmlDoc As XmlXmlDocument xmlDoc = New XmlXmlDocument() ' You will want to provide error handling to ' ensure data loaded correctly xmlDocLoadXml(data) Return xmlDoc End Function End Class.

This second method of implementation is far more elegant and allows considerably more flexible and less resource-intensive failover between Nagios servers. Therefore, I ll only cover this method of failover in this chapter.

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