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For example, to retrieve the record for employee 123, I can use this query: select * from emp where empno = 123; Alternatively, I can set the bind variable :empno to 123 and execute the following query: select * from emp where empno = :empno; In a typical system, you would query up employee 123 maybe once and then never again Later, you would query employee 456, then 789, and so on If you use literals (constants) in the query, then each and every query is a brand-new query, never before seen by the database It will have to be parsed, qualified (names resolved), security checked, optimized, and so on in short, each and every unique statement you execute will have to be compiled every time it is executed The second query uses a bind variable, :empno, the value of which is supplied at query execution time.

This query is compiled once, and then the query plan is stored in a shared pool (the library cache), from which it can be retrieved and reused The difference between the two in terms of performance and scalability is huge dramatic, even From the previous description, it should be fairly obvious that parsing a statement with hard-coded variables (called a hard parse) will take longer and consume many more resources than reusing an already parsed query plan (called a soft parse) What may not be so obvious is the extent to which the former will reduce the number of users your system can support This is due in part to the increased resource consumption, but an even larger factor arises due to the latching mechanisms for the library cache.

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3. Assemble the resulting ILAsm code with option /DEBUG (/DEB); do not use option /DEB=OPT or /DEB=IMP, because then the sequence points defined in the PDB will be ignored, or some IL instructions may be optimized out, and as the result the debugger won t be able to walk all IL instructions step by step. 4. Run the reassembled application under the debugger; there will still be only two views (well, we didn t really do anything about the debugger) the ILAsm and machine code, but the ILAsm code will contain your original source code as comments.

echo -e "OS Type: $white$ostype$normal Kernel:\ $white$osrelease$normal" echo -e " Kernel Compile $white$rev$normal on\ $white$da_date$normal" echo -e "Uptime: $magenta$uptime$normal days"

When you hard-parse a query, the database will spend more time holding certain low-level serialization devices called latches (see 6 for more details) These latches protect the data structures in the shared memory of Oracle from concurrent modifications by two sessions (otherwise Oracle would end up with corrupt data structures) and from someone reading a data structure while it is being modified The longer and more frequently you have to latch these data structures, the longer the queue to get these latches will become You will start to monopolize scarce resources Your machine may appear to be underutilized at times, and yet everything in the database is running very slowly The likelihood is that someone is holding one of these serialization mechanisms and a line is forming you are not able to run at top speed.

It only takes one ill-behaved application in your database to dramatically affect the performance of every other application A single, small application that does not use bind variables will cause the SQL of other well-designed applications to get discarded from the shared pool over time That will cause the welldesigned applications to have to hard-parse their SQL all over again as well You only need one bad apple to spoil the entire barrel..

Summary

The Oracle database has supported autonomous transactions internally for quite a while We see them all of the time in the form of recursive SQL For example, a recursive transaction may be performed when selecting from a sequence, in order for you to increment the sequence immediately in the SYSSEQ$ table The update of the SYSSEQ$ table in support of your sequence was immediately committed and visible to other transactions, but your transaction was not committed as yet Additionally, if you roll back your transaction, the increment to the sequence remained in place; it is not rolled back with your transaction, as it has already been committed Space management, auditing, and other internal operations are performed in a similar recursive fashion This feature has now been exposed for all to use However, I have found that the legitimate real-world use of autonomous transactions is very limited.

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