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Consider a simple query using equality against the non-encrypted and encrypted columns: ops$tkyte%ORA11GR2> set autotrace traceonly explain ops$tkyte%ORA11GR2> select * from t where non_encrypted = 'ALL_OBJECTS'; Execution Plan ---------------------------------------------------------Plan hash value: 1601196873 -------------------------------------------------------------------------| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | -------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 2 | 184 | 240 (1)| 00:00:03 | |* 1 | TABLE ACCESS FULL| T | 2 | 184 | 240 (1)| 00:00:03 | -------------------------------------------------------------------------Predicate Information (identified by operation id): --------------------------------------------------1 - filter("NON_ENCRYPTED"='ALL_OBJECTS') ops$tkyte%ORA11GR2> select * from t where encrypted = 'ALL_OBJECTS'; Execution Plan ---------------------------------------------------------Plan hash value: 1601196873 -------------------------------------------------------------------------| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | -------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 646 | 59432 | 241 (2)| 00:00:03 | |* 1 | TABLE ACCESS FULL| T | 646 | 59432 | 241 (2)| 00:00:03 | -------------------------------------------------------------------------Predicate Information (identified by operation id): --------------------------------------------------1 - filter(INTERNAL_FUNCTION("ENCRYPTED")='ALL_OBJECTS') ops$tkyte%ORA11GR2> set autotrace off Notice how the estimated cardinality goes from 2 rows to 646 rows as we change from using the NON_ENCRYPTED column to the ENCRYPTED column.

Since our solution requires that only the aspect should invoke the transaction management calls on connection objects, we use an around advice to bypass any.

3 l_dummy number; 4 begin 5 l_dummy := dbms_utility.get_parameter_value 6 ( 'background_dump_dest', l_dummy, l_string ); 7 dbms_output.put_line( 'background: ' || l_string ); 8 l_dummy := dbms_utility.get_parameter_value 9 ( 'user_dump_dest', l_dummy, l_string ); 10 dbms_output.put_line( 'user: ' || l_string ); 11 end; 12 / background: /home/ora10g/admin/ora10g/bdump user: /home/ora10g/admin/ora10g/udump PL/SQL procedure successfully completed.

This is a necessary side effect of encrypting this individual column and may have the effect of changing query plans That is, the plans your queries used.

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The trace file naming convention changes from time to time in Oracle, but if you have an example of a trace file name from your system, it is easy to see the template in use. For example, on my various servers, a trace file name looks as shown in Table 3-1. Table 3-1. Sample Trace File Names

before encrypting the column may be radically different from the plans used by the optimizer after encrypting the data due to this sudden inability to get a picture-perfect view of your data. This is a side effect that might happen; it is not a definitely, this will happen to you example. But it is something to keep in mind as you deploy column level encryption.

There are other ways to nullify advice. All the techniques revolve around modifying the pointcut definition so it doesn t match any other join point. For example, we could combine the pointcut with the negated version of it, as follows:

There are four major feature restrictions to be concerned with regarding the use of column level encryption. In the next section, Implementing Tablespace Encryption, we ll see how these limitations can be avoided entirely. But for now, it s important that you understand them. Here they are: Reduced ability to use indexes: Column level encryption will place encrypted values in the index. The index no longer stores data sorted in any useful fashion. The data is sorted, of course, but it is sorted by the encrypted values, not by the original data values. We can use the index for equality searches ( where encrypted_column = searches) but not for typical range scans ( where encrypted column > ). Reduced protection when using indexes: If you index an encrypted column, you may not use the SALT Oracle normally adds to the encrypted values. This is because we need to make sure the value we place into the index is a value we can find later! If we added some random bytes to every string and then place them in the index, we would never be able to use the index to find that string again since we wouldn t know what SALT to use! Inability to use function based indexes: Since an index is created against the encrypted data, the input to your function-based index would necessarily be the encrypted version of the data, which isn t very useful to you. Your function could not make any use of it. Creating function based indexes against encrypted columns is not supported in any sense. Inability to use foreign key constraints: Declarative referential integrity is not supported against encrypted keys.

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