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Description Unreachable domain The DHCP server could not locate the applicable domain for its configured Active Directory installation. Authorization succeeded The DHCP server was authorized to start on the network. Upgraded to a Windows Server 2003 operating system The DHCP server was recently upgraded to Windows Server 2003, Standard Edi tion; therefore, the unauthorized DHCP server detection feature (used to determine whether the server has been authorized in Active Directory) was disabled. Cached authorization The DHCP server was authorized to start using previously cached information. Active Directory was not visible at the time the server was started on the network. Authorization failed The DHCP server was not authorized to start on the network. When this event occurs, it is likely followed by the server being stopped. Authorization (servicing) The DHCP server was successfully authorized to start on the network.

Data mining shares many components with the OLAP layer of SSAS, including its processing architecture. In fact, the server creates an internal specialized cube for each mining structure. When the mining structure is processed, the server loads this cube and its dimensions with the case data. As described earlier in this chapter, SQL Server Analysis Services data mining defines two main objects: a mining structure and a mining model.

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The process for flushing log records to disk is very similar to the way that data pages are written. The log manager is responsible for all writes for all transaction log records for all databases. When a request to flush all log records up to a certain LSN is requested by any worker on the system, the request is queued to the log manager. The worker then waits for a response from the log manager specifying that the I/O has completed successfully. The log manager retrieves from the queue and formats the request; it then posts the I/O on sector-aligned boundaries. The I/O is posted with WriteFile using the OVERLAPPED (async) mechanisms. The log manager can then return to service other queued requests. When the I/O is completed, the completion routine is run to check the success of the write. If the write is successful, the waiting workers can be signaled to continue their operations. Write ordering is critical at this stage. Because multiple log write requests can be posted for the same transaction log, the LSN order must be maintained. For example, pages 5, 10, and 20 are modified by separate transactions. Page 5 was modified first, then 10, and then 20. LSN flush requests occurred for page 5, 10, and 20 and were put in motion in the same order. If the log record(s) for page 5 and 20 are flushed to stable media, only the flush to LSN for page 5 is considered done and SQL Server might only flush page 5. The LSN 10 must be flushed to stable media before 10 and then 20 can be considered to be flushed to the LSN.

As you saw in Lesson 1, a data mining structure is a blueprint of the database schema that is shared by all mining models inside the structure. A structure encapsulates the logical mining domain at hand. From an implementation standpoint, the mining structure defines the data type and contains content definitions of the columns in the case table. A structure can contain one or more mining models that use all or some of the columns defined in the structure. The practical rationale for having multiple models inside a structure is to compare several models to find the model that gives you the most accurate predictions. When you process a structure, the server loads the structure with the model training data.

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8

SQL Server uses sophisticated algorithms to retrieve data pages that are going to be used in the immediate future For example, if you run a query that can use an index to determine applicable rows, a read-ahead might occur on the actual data pages that are needed to complete the select list As index entries are identified, SQL Server can post OVERLAPPED I/O operations for the data pages that will be used in upcoming steps of the query plan For example, this is how a query using a bookmark lookup operator uses read-ahead (More information about the bookmark lookup is included later in this appendix) This example is just one of many read-ahead situations that SQL Server can use Enabling the index searching to continue while the data page I/O is in progress maximizes the CPU and I/O of the system.

By default, the data mining structure caches the data mining model training data (the structure CacheMode is set to KeepTrainingCases). This option lets the user issue drillthrough queries to see the source data. If you do not want to keep the training data with large data volumes, set the CacheMode property to ClearAfterProcessing.

Table 8-3