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As with the shared pool component, the best way to manage the buffer cache is to choose automatic SGA management However, if you choose to manage the SGA manually, you can use a process of trial and error to set the buffer cache size You assign an initial amount of memory to the pool and watch the buffer cache hit ratios to see how often the application can retrieve the data from memory, as opposed to going to disk The terminology used for calculating the buffer hit ratio can be somewhat confusing on occasion Here are the key terms you need to understand: Physical reads: These are the data blocks that Oracle reads from disk Reading data from disk is much more expensive than reading data that s already in Oracle s memory.

When you issue a query, Oracle always first tries to retrieve the data from memory the database buffer cache and not disk DB block gets: This is a read of the buffer cache, to retrieve a block in current mode This most often happens during data modification when Oracle has to be sure that it s updating the most recent version of the block So, when Oracle finds the required data in the database buffer cache, it checks whether the data in the blocks is up to date If a user changes the data in the buffer cache but hasn t committed those changes yet, new requests for the same data can t show these interim changes If the data in the buffer blocks is up to date, each such data block retrieved is counted as a DB block get.

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Consistent gets: This is a read of the buffer cache, to retrieve a block in consistent mode This may include a read of undo segments to maintain the read consistency principle (see 8 for more information about read consistency) If Oracle finds that another session has updated the data in that block since the read began, then it will apply the new information from the undo segments Logical reads: Every time Oracle is able to satisfy a request for data by reading it from the database buffer cache, you get a logical read Thus logical reads include both DB block gets and consistent gets Buffer gets: This term refers to the number of database cache buffers retrieved This value is the same as the logical reads described earlier.

n the previous chapter, you learned how to make the best use of objects in Oracle In particular, you learned that you should avoid using objects to store data in a table Object views, on the other hand, allow you to create a layer of abstraction on top of relational tables, giving you the option of accessing objects directly from your code, while also retaining the flexibility of writing code that works on the underlying relational tables using traditional SQL Even though it is not, in general, advisable to store data in object tables, it still makes sense to discuss how to work with objects using JDBC, for the following reasons: Even if you don t store objects in tables, you may have to pass Oracle objects back and forth between Java and your stored procedures that take objects as parameters.

The following formula gives you the buffer cache hit ratio: 1 - ('physical reads cache') / ('consistent gets from cache' + 'db block gets from cache') You can use the following query to get the current values for all three necessary buffer cache statistics: SQL> SELECT name, value FROM v$sysstat WHERE where name IN ('physical reads cache', 'consistent gets from cache', 'db block gets from cache');.

NAME --------------------------db block gets from cache consistent gets from cache physical reads cache 3 rows selected. SQL>

VALUE ----------103264732 5924585423 50572618

Since this would be also true for stored procedures that use objects as programming constructs rather than as a storage mechanism, it is useful to learn these concepts The idea of accessing and manipulating objects is an integral part of the JDBC API, and this book would be incomplete without a discussion of this topic You need to be familiar with accessing objects from object tables, in case you encounter code that uses the concepts involved In this chapter and the next two chapters, you will learn different options available for mapping Oracle database objects and collections to objects in Java In this chapter, we will discuss how to materialize database objects as weakly typed objects in Java A weakly typed object refers to a Java object that implements the javasqlStruct interface A javasql.

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