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Column level encryption stores the data in the block buffer cache in its encrypted form. When the database does a physical IO to retrieve the data from disk, the encrypted column remains encrypted in the SGA. What this implies is that every access to this column will result in having to perform a decrypt process on the data, and in the event of a modification, a subsequent encrypt process. In short, every time you touch this column with SQL, you will experience the extra processing required to transparently encrypt/decrypt this data. Figure 16-1 depicts how the data would be stored in the SGA for a sample table before encryption and post-encryption of some columns. It graphically represents the fact that encrypted columns are stored in the SGA encrypted; they will therefore consume additional space in the SGA for the reasons we just discussed in the Increased Storage with Column Encryption section.

Editable objects maintain several status values about the state of the object. These status values are discussed in detail in 8, which covers their implementation in BusinessBase and BusinessListBase. The ITrackStatus interface allows a UI framework to get these status values in a polymorphic manner, regardless of the type of the editable object: Public Interface ITrackStatus ReadOnly Property IsValid() As Boolean ReadOnly Property IsSelfValid() As Boolean ReadOnly Property IsDirty() As Boolean ReadOnly Property IsSelfDirty() As Boolean ReadOnly Property IsDeleted() As Boolean ReadOnly Property IsNew() As Boolean ReadOnly Property IsSavable() As Boolean End Interface A UI framework often uses these status values to enable or disable various UI elements to give the user cues about what actions are possible at any point in time. As you ll see in 10, the CslaDataProvider automatically handles these details in a WPF interface.

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Figure 16-1. Non-encrypted columns compared to encrypted columns in a database block It should be clear from the figure that a query of the form SELECT * FROM T WHERE SALARY > 1050 would have to decrypt every single occurrence of SALARY in that table, row by row, and then for the matching rows, would decrypt the SSN column. This decryption activity will have a definite impact on performance, as we ll see in the Measuring the Performance Impact of Column Encryption section, but it won t be nearly as large an impact as manual, application-implemented decryption was.

You might look at that query and say Obviously, we should index the SALARY column so that we don t have to inspect each and every row This will work for the non-encrypted table, but not so for the encrypted table and this has to do with the physical storage of the encrypted column itself The data in an encrypted column is encrypted as it flows onto the database block; the data you insert is encrypted and then placed on the block Any index you created on the encrypted column SALARY would be on the encrypted data itself! The encrypted version of the salary information would sort differently than the non-encrypted version In the index on SAL, when it is encrypted, the number 1,100 might appear to sort lower than 1,000 would.

In the same way that IBusinessObject provides a form of polymorphism and commonality across all business objects, IUndoableObject does the same thing for any object that supports n-level undo. This includes those that inherit from BusinessBase(Of T) and BusinessListBase(Of T, C), among others. This polymorphic ability is of critical importance in the implementation of UndoableBase, as discussed in 13. UndoableBase needs to be able to treat all editable objects the same in order to implement the n-level undo functionality. Here s the code for IUndoableObject: Public Interface IUndoableObject ReadOnly Property EditLevel() As Integer Sub CopyState(ByVal parentEditLevel As Integer, _ ByVal parentBindingEdit As Boolean) Sub UndoChanges(ByVal parentEditLevel As Integer, _ ByVal parentBindingEdit As Boolean) Sub AcceptChanges(ByVal parentEditLevel As Integer, _ ByVal parentBindingEdit As Boolean) End Interface

No precise formula correlates the server security, accuracy, and load to the server access policy. However, in general, consider that the more restricted the server access policy, the more likely that someone is concerned about that server s operations. Consequently, the server s security and accuracy are likely to be higher, while its load is likely to be more closely monitored and managed than for servers with a completely open access policy. It seems natural that in mission-critical environments (if you decide to rely on public servers to begin with!), you want to ensure the maximum security, accuracy, and availability of your NTP time source, which translates into a certain amount of footwork (contacting the server administrators and making arrangements for server use) to select the most reliable public NTP servers(s). Also, always be sure to follow the instructions on the server use, even if the server happens to be an open-policy server that requires no arrangements prior to its use.

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