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columns estimates. So, the optimizer really doesn t have an accurate idea about the true selectivity of the transformed values of the column. You can collect expression statistics on some types of column expressions, in those cases where the function preserves the original data distribution characteristics of the original column. This is true when you apply a function such as TO_NUMBER to a column. You can use function-based expressions for user-defined functions as well as function-based indexes. The expression statistics feature relies on Oracle s virtual column capabilities. You execute the CREATE_EXTENDED_STATS function to create statistics on column expressions, as shown here: SQL> SELECT dbms_stats.create_extended_stats(null,'customers', '(lower(cust_state_province))') FROM dual; Alternatively, you can execute the GATHER_TABLE_STATS function to create expression statistics: SQL> exec dbms_stats.gather_table_stats(null,'customers', method_opt=>'for all columns size skewonly, for columns (lower(cust_state_province)) size skewonly'); As with the column group statistics, you can query the DBA_STAT_EXTENSIONS view to find out details about expression statistics.

Updatability: The ability to update rows of a result set and propagate the changes to the underlying tables in the database Out of all these capabilities, prefetching is my favorite, as it can give excellent returns in terms of performance without imposing any artificial restrictions on the query itself In my opinion, the remaining features can be considered syntactic sugar rather than useful because They impose various limitations on the query itself (see the section Result Set Limitations for a full list of these limitations) For example, for a result set to be updatable, the query can select from only a single table and can t contain any join operations, which severely limits the capabilities of your SQL code The worst part is that in return you don t get anything that you can t achieve otherwise by using simple ResultSet objects.

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The cost model of the optimizer takes into account both I/O cost and CPU cost, both in units of time. The CBO evaluates alternative query costs by comparing the total time it takes to perform all the I/O operations, as well as the number of CPU cycles necessary for the query execution. The CBO takes the total number of I/Os and CPU cycles that will be necessary according to its estimates, and converts them into execution time. It then compares the execution time of the alternative execution paths and chooses the best candidate for execution. For the CBO to compute the cost of alternative paths accurately, it must have access to accurate system statistics. These statistics, which include items such as I/O seek time, I/O transfer time, and CPU speed, tell the optimizer how fast the system I/O and CPU perform. It s the DBA s job to provide these statistics to the optimizer. I show how to collect system statistics in the following section.

Although Oracle can automatically collect optimizer statistics for you regarding your tables and indexes, you need to collect operating system statistics with the GATHER_SYSTEM_STATS procedure. When you do this, Oracle populates the SYS.AUX_STATS$ table with various operating system statistics, such as CPU and I/O performance. Gathering system statistics at regular intervals is critical, because the Oracle CBO uses these statistics as the basis of its cost computations for various queries. System statistics enable the optimizer to compare more accurately the I/O and CPU costs of alternative execution. The optimizer is also able to figure out the execution time of a query more accurately if you provide it with accurate system statistics. You can run the GATHER_SYSTEM_STATS procedure in different modes by passing values to the GATHERING_MODE parameter. There s a no-workload mode you can specify to quickly capture the I/O system characteristics. You can also specify a workload-specific mode by using the INTERVAL, START, and STOP values for the GATHERING_MODE parameter. Here s a brief explanation of the different values you can specify for the GATHERING_MODE parameter:

There are simpler alternatives to all these capabilities when it comes to using them in a real-world scenario For example, instead of using the updatability feature to update data, you can use plain old SQL update statements in a PreparedStatement object Another example is the use of a scrollable result set in scrolling through a fixed window of records, something that can be accomplished with SQL and a simple ResultSet much more efficiently (as you ll learn in the section Paginating Through a Result Set )..

No-workload mode: By using the NOWORKLOAD keyword, you can collect certain system statistics that mostly pertain to general I/O characteristics of your system, such as I/O seek time (IOSEEKTIM) and I/O transfer speed (IOTFRSPEED). You should ideally run the GATHER_ SYSTEM_STATS procedure in no-workload mode right after you create a new database. The procedure takes only a few minutes to complete and is suitable for all types of workloads.

If you collect both workload and no-workload statistics, the optimizer will use the workload statistics.

Note Listing 5-1 represents a special case use of the fudge command on client devices. On a primary

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