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You don t have to allocate all the buffer cache memory to a single pool As 10 showed you, you can use three separate pools: the keep buffer pool, the recycle buffer pool, and the default buffer pool Although you don t have to use the keep and default buffer pools, it s a good idea to configure all three pools so you can assign objects to them based on their access patterns In general, you follow these rules of thumb when you use the multiple buffer pools: Use the recycle cache for large objects that are infrequently accessed You don t want these objects to occupy a large amount of space unnecessarily in the default pool Use the keep cache for small objects that you want in memory at all times Oracle automatically uses the default pool for all objects not assigned to either the recycle or keep cache.

class, say Person, whereas a database object of type address would map to, for instance, a Java object of custom class Address. In 11, we will discuss how to materialize a database collection of built-in types (such as a varray of varchar2), a database collection of object types (such as a nested table of person objects), and database object references (references are defined in 11) as either weakly typed java.sql.Struct objects or as strongly typed custom class objects in Java. In addition, in this chapter and in s 10 and 11, we will cover how to manipulate data stored in tables containing objects or collections using either weakly typed or strongly typed Java objects. Although we will use tables with object columns in our examples for simplicity, the same code should work with object views as well, with appropriate triggers, as explained in 8 (regardless of whether we use weakly typed or strongly typed objects).

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Since version 81, Oracle has used a concept called touch count to measure how many times an object is accessed in the buffer cache This algorithm of using touch counts for managing the buffer cache is somewhat different from the traditional modified LRU algorithm that Oracle used to employ for managing the cache Each time a buffer is accessed, the touch count is incremented A low touch count means that the block isn t being reused frequently, and therefore is wasting database buffer cache space If you have large objects that have a low touch count but occupy a significant proportion of the buffer cache, you can consider them ideal candidates for the recycle pool Listing 20-5 contains a query that shows you how to find out which objects have a low touch count.

The TCH column in the x$bh table owned by the user SYS indicates the touch count Listing 20-5 Determining Candidates for the Recycle Buffer Pool SQL> 2 3 4 5 6 7 8 9 10 11 12* SELECT obj object, count(1) buffers, (count(1)/totsize) * 100 percent_cache FROMx$bh, (select value totsize FROM v$parameter WHERE name ='db_block_buffers') WHERE tch=1 OR (tch = 0 and lru_flag <10) GROUP BY obj, totsize HAVING (count(1)/totsize) * 100 > 5 BUFFERS ------14288 12616 22459 PERCENT_CACHE ------------595333333 525666667 935791667.

The preceding query shows you that three objects, each with a low touch count, are taking up about 20 percent of the total buffer cache. Obviously, they re good candidates for the recycle buffer pool. In effect, you re limiting the number of buffers the infrequently used blocks from these three tables can use up in the buffer cache. The following query on the DBA_OBJECTS view gives you the names of the objects:

Note There are many tools and frameworks available outside the realm of JDBC that address the issue of

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