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User nina alapati, in the meanwhile, issues an identical statement, but when she executes it, it hangs: SQL> DELETE FROM emp WHERE name='samalapati'; The second user s DML statement will hang because the first user hasn t committed yet, and thus holds a row-level lock on the row the second user is trying to change. When the first user rolls back or commits, the second user s session automatically moves forward and finishes. You can use the V$SESSION view to find out which sessions are blocking other sessions. Here s a simple query using the view that shows the blocking lock caused by the previous two SQL statements: SQL> SELECT username, blocking_session blocking_session_status FROM V$SESSION WHERE blocking_session_status='VALID'; When you do find a blocking session, and it is blocking another session from doing its job, you may have to terminate the blocking session by using the ALTER SYSTEM KILL SESSION command. If the process or the session still won t go away, go to the operating system level and kill the process or the thread that spawned the Oracle session.

Transparent interactions allow the caller to see inside the callee, as it were, in the sense that progress feedback can be obtained from the callee regarding the command execution. From a linguistic perspective, transparent interactions are usually associated with imperative sentences, such as Download this file. Transparent interactions are usually more complex than blind ones, because both the caller and callee must have certain capabilities: 1. The callee must be able to measure progress in a meaningful way. 2. The callee must be able to report feedback while executing a command. 3. The caller must be able to handle feedback while a previously issued command is being executed. Although transparent interactions can be implemented strictly with synchronous calls, as described in the following Pushed Feedback section, it is far more common to use asynchronous interactions. Whether the asynchronous behavior is on the caller side, the callee side, or both is a design decision.

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Deadlocks occur in any RDBMS when two sessions block each other while each waits for a resource that the other session is holding. This is a catch-22 situation, because the stalemate can t be broken by either session unilaterally. In such circumstances, Oracle steps in, kills one of the sessions, and rolls back its transaction. Oracle quickly recognizes that two sessions are deadlocked and terminates the transaction that holds the most recently applied lock. This will release the object locks that the other session is waiting for. You don t really need to do anything when there are deadlocks, although you ll see messages in your dump directory that deadlocks are currently in the database. When Oracle encounters a deadlock between transactions, it records in the trace file (in the directory location specified by the USER_DUMP_DEST initialization parameter) the session IDs involved, the SQL statements issued in the transactions, and the specific object name and the rows on which locks are held in each session involved in the deadlock. Oracle further informs you that the deadlock is not an Oracle error, but is due to errors in application design or is a result of issuing ad hoc SQL. Application designers must write exception handlers in the code to roll back the aborted transaction and restart it. You can avoid deadlocks by paying attention in the design phase and ensuring the proper locking order of the objects. Given that writers block other writers, deadlocks in Oracle are a rare phenomenon.

Take another snapshot immediately after the last copy of the program finishes Then it is a simple matter of printing out the Statspack report and finding out how long it took N copies of the program to complete, how much CPU was used, what the major wait events occurred, and so on These tests were performed on a dual-CPU machine with hyperthreading enabled (making it appear as if there were four CPUs) Given that there were two physical CPUs, you might expect very linear scaling here that is, if one user uses 1 unit of CPU to process her inserts, then you might expect that two users would require 2 units of CPU You ll discover that this premise, while sounding plausible, may well be inaccurate (just how inaccurate depends on your programming technique, as you ll see).

The V$BUFFER_POOL view shows you multiple buffer pool information. By default there s just one pool, named the default pool, but you can configure other pools, called the recycle and keep buffer pools. The following query uses the V$BUFFER_POOL view:

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