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The following formula provides you with the library cache hit ratio: SQL> SELECT SUM(pinhits)/sum(pins) 2 FROM V$LIBRARYCACHE; LIBRARY_CACHE_HIT_RATIO -----------------------.993928013 SQL> The formula indicates that the library cache currently has a higher than 99 percent hit ratio, which is considered good. However, be cautious about relying exclusively on high hit ratios for the library cache and the buffer caches, such as the one shown here. You may have a hit ratio such as 99.99 percent, but if significant waits are caused by events such as excessive parsing, you re going to have a slow database. Always keep an eye on the wait events in your system, and don t rely blindly on high hit ratios such as these. Listing 20-2 shows how to determine the number of reloads and pinhits of various statements in your library cache. Listing 20-2. Determining the Efficiency of the Library Cache SQL> SELECT namespace, pins, pinhits, reloads 2 FROM V$LIBRARYCACHE 3 ORDER BY namespace; Library_cache_hit_ratio

NAMESPACE -----------------BODY CLUSTER INDEX JAVA DATA JAVA RESOURCE JAVA SOURCE OBJECT PIPE SQL AREA TABLE/PROCEDURE TRIGGER 11 rows selected. SQL>

The procedure do_rel_bulk_insert inserts a given number of parent records and a given number of children for each parent record into the tables components_rel and parts_rel using PL/SQL bulk binding technique. When using bulk binding, you first store all rows to be inserted in a collection, and then insert it in one shot using the special forall syntax, thus avoiding the overhead of switching contexts between the SQL engine and the PL/SQL engine. Bulk binding is discussed in detail in the section Using Bulk Binding of 17.

PINS -----25 248 31 6 2 0 0 0 390039 3532 5

PINHITS ---------12 239 0 4 1 0 0 0 389465 1992 3

RELOADS ------0 0 0 0 0 0 0 0 14 0 0

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If the RELOADS column of the V$LIBRARYCACHE view shows large values, it means that many SQL statements are being reloaded into the library pool after they ve been aged out. You might want to increase your shared pool, but this still may not do the trick if the application is large, the number of executions is large, or the application doesn t use bind variables. If the SQL statements aren t exactly identical and/or if they use constants instead of bind variables, more hard parses will be performed, and hard parses are inherently expensive in terms of resource usage. You can force the executable SQL statements to remain in the library cache component of the shared pool by using the Oracle-provided DBMS_SHARED_POOL package. The package has the KEEP and UNKEEP procedures; using these you can retain and release objects in the shared pool. You can use the V$LIBRARY_CACHE_MEMORY view to determine the number of library cache memory objects currently in use in the shared pool and to determine the number of freeable library cache memory objects in the shared pool. The V$SHARED_POOL_ADVICE view provides you with information about the parse time savings you can expect for various sizes of the shared pool.

You can configure some important initialization parameters so the library cache areas are used efficiently. You ll look at some of these initialization parameters in the following sections.

The key idea behind optimizing the use of the library cache is to reuse previously parsed or executed code. One of the easiest ways to do this is to use bind variables rather than literal statements in the SQL code. Bind variables are like placeholders: they allow binding of application data to the SQL statement. Using bind variables enables Oracle to reuse statements when the only things changing in the statements are the values of the input variables. Bind variables enable you to reuse the cached, parsed versions of queries and thus speed up your application. Here s an example of the use of bind variables. The following code sets up a bind variable as a number type: SQL> VARIABLE bindvar NUMBER; SQL> BEGIN 2 :bindvar :=7900; 3 END; 4 / PL/SQL procedure successfully completed. SQL>

procedure do_rel_bulk_insert( p_num_of_parents in int := 50, p_num_of_children in int := 500 ) as l_tmp_comp number; type array is table of parts_rel%rowtype index by binary_integer; l_childdata array; l_part_rel_id number := 1; begin for i in 1..p_num_of_parents loop insert into components_rel values ( i, 'component'||i ); for j in 1..p_num_of_children loop l_childdata(j).component_id := i; l_childdata(j).part_id := l_part_rel_id; l_childdata(j).part_name := 'part'||i||j; l_childdata(j).part_desc := 'part desc' || i||j; l_part_rel_id := l_part_rel_id + 1; end loop; forall X in 1 .. p_num_of_children insert into parts_rel values l_childdata(X); end loop; commit; end do_rel_bulk_insert; end ; /

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