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Now we can start by measuring the difference between a bulk insert into the NON_ENCRYPTED column versus the ENCRYPTED column: ops$tkyte%ORA11GR2> begin 2 do_sql( 'insert into t(non_encrypted) ' || 3 'select object_name from stage' ); 4 do_sql( 'insert into t(encrypted) ' || 5 'select object_name from stage' ); 6 end; 7 / insert into t(non_encrypted) select object_name from stage 13 cpu hsecs 23 mbytes redo insert into t(encrypted) select object_name from stage 121 cpu hsecs 53 mbytes redo PL/SQL procedure successfully completed So, column encryption had a definite impact here: almost 10 times as much CPU was used (on my hardware; your mileage may vary!) and more than twice as much redo was generated While 10 times as much CPU sounds like a lot, we might want to compare that to the do it yourself approach where the CPU utilization was closer to 50 times higher.

Now, let s measure the impact of slow by slow processing also known as row by row processing This time we ll execute a dynamic PL/SQL block that will load the records from the STAGE table into T a row at a time, once referencing the non-encrypted column and then referencing the encrypted column: ops$tkyte%ORA11GR2> declare 2 l_sql long := 3 'begin ' || 4 'for x in (select object_name from stage) ' || 5 'loop ' || 6 'insert into t(#CNAME#) ' || 7 'values (xobject_name); ' || 8 'end loop; ' || 9 'end; '; 10 begin 11 do_sql( replace(l_sql,'#CNAME#','non_encrypted') ); 12 do_sql( replace(l_sql,'#CNAME#','encrypted') ); 13 end; 14 / begin for x in (select object_name from stage) loop insert into t(non_encrypted) values (xobject_name); end loop; end; 411 cpu hsecs 16.

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The only complicated overrides are ClearItems() and RemoveItem(). This is because AllowRemove is typically set to False and must be temporarily changed to True to allow the operation (when the collection is not in read-only mode). For instance, here s the ClearItems() method: Protected Overrides Sub ClearItems() If Not IsReadOnly Then Dim oldValue As Boolean = AllowRemove AllowRemove = True MyBase.ClearItems() DeferredLoadIndexIfNotLoaded() _indexSet.ClearIndexes() AllowRemove = oldValue Else Throw New NotSupportedException(My.Resources.ClearInvalidException) End If End Sub The original AllowRemove value is restored after the operation is complete. Notice the call to DeferredLoadIndexIfNotLoaded(), which triggers recreation of any indexes being maintained by LINQ to CSLA. LINQ to CSLA is discussed in 14. This completes all the types in the Csla.Core namespace. You can look at the full implementation of each type by downloading the code from the Source Code area of the Apress website (www.apress.com) or www.lhotka.net/cslanet/download.aspx. Also, s 7 through 16 cover many of the concepts and code in more detail.

5 mbytes redo begin for x in (select object_name from stage) loop insert into t(encrypted) values (xobject_name); end loop; end; 1039 cpu hsecs 194 mbytes redo This time we needed about 25 times as much CPU and just a little more redo This 25 times difference should be compared to the do it yourself encryption we saw previously; there we needed almost six times as much CPU So again, transparent column level encryption is much more efficient than the do it yourself approach This example points out the overhead of row by row operations in.

When considering public server(s) as your time source, consider also the NTP pool server approach, where instead of using specific servers (identified by the unique IP addresses or DNS names) you define your NTP server configuration statements at the deployment site as pointing to a server pool. NTP server pools are identified by generic names such as 0.pool.ntp.org, 1.pool.ntp.org, 2.pool.ntp.org, and more that usually relate to the pool s geographical location. Those names point to groups of servers that participate in the NTP server pooling project. The servers within a group rotate on a periodic basis, which means there is a measure of natural load balancing that goes on, and no single public server participating in the pool is likely to become overloaded. At least, that s the initial theory and motivation behind NTP server pooling. However, while the overall server availability may be enhanced through the concept of the pool, consider also that the quality of the time received from those servers may be less than ideal, given that the servers in the pool could come from all over the world and varied levels of administration expertise. Since NTP server pools for different continents are now also becoming available, those might be better candidates than the generic pools.

general, however. By doing things very inefficiently (loading a row at a time), some of the overhead of column level encryption is hidden, due to the fact that so much of our time is now spent processing the INSERTS, not performing the encryption itself.

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