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The process of firing an event requires a number of recurring steps to check for the presence of subscribers, to ensure that notifications are sent to all intended subscribers, and to handle other issues. To avoid duplicating this code each time an event needs to be fired, you should designate a method to handle the firing. I ll call this method the Fire method. There are two strategies for creating Fire methods: Creating one method to handle each type of event that can be fired Creating a single method to handle all the types of events that can be fired When events are fired, they typically carry a payload. Using a separate Fire method for each event type avoids complexity, because the method only deals with a specific type of payload. Using a common Fire method for all events, on the other hand, yields a more complex Fire method. A common method might make sense if you need to have a simple way to monitor all the events fired by an event source. The method would be a convenient place to put breakpoints or event logging code. Using Fire methods to handle notification dispatching is important, because these methods insulate the rest of the code in the event source from the details of how notifications are sent. Only the Fire method needs to know how to use the event subscription data structures to fire events, how to handle multiple subscribers, what to do if exceptions occur during event firing, and so on.

The following example shows how to create a height-based histogram while collecting the optimizer statistics: SQL> BEGIN DBMS_STATS.GATHER_table_STATS (OWNNAME => 'HR', TABNAME => 'BENEFITS', METHOD_OPT => 'FOR COLUMNS SIZE 10 Number_of_visits'); END; The following example shows how to create a frequency-based histogram: SQL> BEGIN DBMS_STATS.GATHER_table_STATS(OWNNAME => 'HR', TABNAME => 'PERSONS', METHOD_OPT => 'FOR COLUMNS SIZE 20 department_id'); END;

You can use the DBA_TAB_COL_STATISTICS view to view histogram information. Following are the two queries that show the number of buckets (num_buckets) and the number of distinct values (num_distinct), first for the height-balanced and then for the frequency-based histogram created in the previous section: SQL> SELECT column_name, num_distinct, num_buckets, histogram FROM USER_TAB_COL_STATISTICS WHERE table_name = 'BENEFITS' AND column_name = 'NUMBER_OF_VISITS'; COLUMN_NAME ----------------NUMBER_OF_VISITS NUM_DISTINCT ------------320 NUM_BUCKETS -----------10 HISTOGRAM --------------HEIGHT BALANCED

SQL> SELECT column_name, num_distinct, num_buckets, histogram FROM USER_TAB_COL_STATISTICS WHERE table_name = 'PERSONS' AND column_name = 'DEPARTMENT_ID'; COLUMN_NAME -------------DEPARTMENT_ID NUM_DISTINCT -----------8 NUM_BUCKETS -----------8 HISTOGRAM ---------FREQUENCY

If you decide to create a Fire method for each type of event, the obvious consequence is that there are going to be a number of Fire methods in the code. To simplify keeping track of which Fire method handles which events, you should use a naming convention, relating Fire methods to events and other data structures. Let s start with the naming of event properties. These properties are exposed by event sources that support subscriptions by type. Subscribers access these properties to subscribe or unsubscribe to a given event. One convention, first introduced with Visual Basic in the early 1990s, is to prefix

Although using bind variables improves performance and scalability by reducing parse time and memory usage, literal values actually produce better execution plans than bind values for variables. When you force cursor sharing in the database by setting the CURSOR_SHARING parameter to EXACT or SIMILAR, some SQL statements end up with suboptimal plans for some bind variable values. The CostBased Optimizer may very well create a suboptimal plan if it happens to peek at the bind values and if the bind values used by the first SQL statements to go into the shared pool are unrepresentative of the true values of the variable. Developers and DBA s sometimes resort to setting the unofficial Oracle initialization parameter _OPTIM_PEEK_USER_BINDS (ALTER SESSION SET "_optim_peek_user_binds"=FALSE;) to prevent the database from peeking at the bind values. Adaptive cursor sharing provides a much more elegant way to prevent the optimizer from creating suboptimal execution plans caused by bind peeking. Oracle relies on its bind peeking technique when it first parses a SQL statement. The optimizer will always hard parse a new statement and peek at the bind variable values to get a sense of what the values look like. The initial bind values it sees during the bind peeking have an inordinate influence