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The V$SGA_DYNAMIC_COMPONENTS view lets you find out details about the memory granule sizes and the minimum and maximum size of the SGA. Here s the output of a query using this dynamic view: SQL> SELECT component,min_size, max_size, 2 granule_size,current_size 3* FROM V$SGA_DYNAMIC_COMPONENTS; COMPONENT MIN_SIZE MAX_SIZE GRANULE_SIZE CURRENT_SIZE ------------------------------------------------------------------shared shared pool 1442840576 0 16777216 1442840576 large pool 16777216 0 16777216 16777216 java pool 67108864 0 16777216 67108864 streams pool 0 0 16777216 0 DEFAULT buffer cache 2466250752 0 16777216 2466250752 KEEP buffer cache 0 0 16777216 0 RECYCLE buffer cache 0 0 16777216 0 DEFAULT 2K buffer cache 0 0 16777216 0 DEFAULT 4K buffer cache 0 0 16777216 0 DEFAULT 8k buffer cache 0 0 16777216 0 DEFAULT 16K buffer cache 0 0 16777216 0 DEFAULT 32K buffer cache 0 0 16777216 0 OSM Buffer Cache 0 0 16777216 0 13 rows selected. SQL>

As an example, we ll study the cost of latching the Shared pool. We ll compare a well-written program (one that uses bind variables) and a program that is not so well written (it uses literal

With blind interactions, the caller has no way to monitor the execution progress of the callee. At most, the caller can determine whether a command completes. During command execution, the caller has no idea about what is going on at the callee side. When an interaction is considerably variable in duration or is expected to take a long time, a transparent interaction is often appropriate.

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Oracle automatically applies the necessary locks to the tables and other objects based on the transactions that are coded in the applications. Oracle s locking mechanism works automatically to ensure statement-level read consistency and concurrency. For the most part, Oracle s default, behind-the-scenes locking operations should suffice, but there occasionally may be situations when the application developer will be better off manually locking tables. Sometimes when the transaction needs to see consistent data across many joined tables, the application developer can use explicit locking. In addition, when you don t want the data values changed during long transactions, it may sometimes be necessary for the application developer to apply explicit locks. Oracle provides explicit locking features to override the implicit locks placed by Oracle on behalf of transactions. You can override Oracle s default (implicit) locking mechanism at the transaction level or the session level. If you want to override all Oracle s default locking mechanisms, you can do so by using the SET TRANSACTION ISOLATION LEVEL SERIALIZABLE statement at the session level. The same statement will also override the default locking modes at the transaction level. In addition, you can manually lock a table by explicitly using a table lock or by using the SELECT FOR UPDATE command.

A blocking lock occurs when a lock placed on an object by a user prevents or blocks other users from accessing the same object or objects. The DBA_BLOCKERS table is useful in getting this information it tells you which sessions are currently holding locks on objects for which some other object is presently waiting. You can combine the information in the DBA_BLOCKERS table with that in the V$SESSION tables, to find out who is holding the blocking session. Here is the SQL statement: SQL> SELECT a.username, a.program, a.sid, a.serial# 2 FROM v$session a, dba_blockers b 3 WHERE a.sid = b.holding_session; SQL> The following is a simple example of a blocking session: user nick alapati issues the following DML statement, but doesn t commit it: SQL> DELETE FROM emp WHERE name='samalapati'; 1 row deleted. SQL>

SQL, or unique SQL for each statement) To do this, we ll use a very small Java program that simply logs into Oracle, turns off auto-commit (as all Java programs should do immediately after connecting to a database), and executes 25,000 unique INSERT statements in a loop We ll perform two sets of tests: our program will not use bind variables in the first set, and in the second set it will To evaluate these programs and their behavior in a multiuser environment, I opted to use Statspack to gather the metrics, as follows: 1 Execute a Statspack snapshot to gather the current state of the system 2 Run N copies of the program, having each program INSERT into its own database table so as to avoid the contention associated with having all programs trying to insert into a single table 3.

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