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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:

In general, common sense prevails in estimating the amount of redo created. If the operation you perform causes undo data to be created, then determine how easy or hard it will be to reverse (undo) the effect of your operation. If you INSERT 2,000 bytes, the reverse of this is easy. You simply go back to no bytes. If you DELETE 2,000 bytes, the reverse is INSERTing 2,000 bytes. In this case, the redo is substantial. Armed with this knowledge, you will avoid deleting from temporary tables. You can use TRUNCATE, bearing in mind, of course, that TRUNCATE is DDL that will commit your transaction, and in Oracle9i and before invalidate your cursors. Or just let the temporary tables empty themselves automatically after a COMMIT or when your session terminates. All of these methods generate no undo and, therefore, no redo. You should try to avoid updating a temporary table unless you really have to for some reason. You should use temporary tables mostly as something to be INSERTed into and SELECTed from. In this fashion, you ll make optimum use of their unique ability to not generate redo.

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SQL> SELECT a.username, a.program, a.sid, a.serial# 2 FROM v$session a, dba_blockers b 3 WHERE a.sid = b.holding_session; SQL> The following is a simple example of a blocking session: user nick alapati issues the following DML statement, but doesn t commit it: SQL> DELETE FROM emp WHERE name='samalapati'; 1 row deleted. SQL> User nina alapati, in the meanwhile, issues an identical statement, but when she executes it, it hangs: SQL> DELETE FROM emp WHERE name='samalapati'; The second user s DML statement will hang because the first user hasn t committed yet, and thus holds a row-level lock on the row the second user is trying to change. When the first user rolls back or commits, the second user s session automatically moves forward and finishes. You can use the V$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.

ne of the key challenges in developing multiuser, database-driven applications is to maximize concurrent access and, at the same time, ensure that each user is able to read and modify the data in a consistent fashion. The locking mechanisms that allow this to happen are key features of any database, and Oracle excels in providing them. However, Oracle s implementation of these features is specific to Oracle just as SQL Server s implementation is to SQL Server and it is up to you, the application developer, to ensure that when your application performs data manipulation, it uses these mechanisms correctly. If you fail to do so, your application will behave in an unexpected way, and inevitably the integrity of your data will be compromised (as was demonstrated in 1). In this chapter, we ll take a detailed look at how Oracle locks both data (e.g., rows in tables) and shared data structures (such as those found in the SGA). We ll investigate the granularity to which Oracle locks data and what that means to you, the developer. When appropriate, I ll contrast Oracle s locking scheme with other popular implementations, mostly to dispel the myth that row-level locking adds overhead; it adds overhead only if the implementation adds overhead. In the next chapter, we ll continue this discussion and investigate Oracle s multiversioning techniques and how locking strategies interact with them.

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