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Oracle takes an optimistic approach to serialization it gambles on the fact that the data your transaction wants to update won t be updated by any other transaction This is typically the way it happens, and usually the gamble pays off, especially in quick-transaction, OLTPtype systems If no one else updates your data during your transaction, this isolation level, which will generally decrease concurrency in other systems, will provide the same degree of concurrency as it would without SERIALIZABLE transactions The downside to this is that you may get the ORA-08177 error if the gamble doesn t pay off If you think about it, however, it s worth the risk If you re using a SERIALIZABLE transaction, you shouldn t expect to update the same information as other transactions If you do, you should use the SELECT .. FOR UPDATE as described previously in 1, and this will serialize the access.

EAT 0:Addr.of Yabba() 1:Addr.of Dabba() 2:Addr.of Doo()

So, using an isolation level of SERIALIZABLE will be achievable and effective if you Have a high probability of no one else modifying the same data Need transaction-level read consistency Will be doing short transactions (to help make the first bullet point a reality) Oracle finds this method scalable enough to run all of their TPC-Cs (an industry standard OLTP benchmark; see wwwtpcorg for details) In many other implementations, you will find this being achieved with shared read locks and their corresponding deadlocks, and blocking Here in Oracle, we do not get any blocking, but we will get the ORA-08177 error if other sessions change the data we want to change as well However, we will not get the error as frequently as we will get deadlocks and blocks in the other systems.

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But there is always a but you must take care to understand these different isolation levels and their implications Remember, with isolation set to SERIALIZABLE, you will not see any changes made in the database after the start of your transaction, until you commit Applications that attempt to enforce their own data integrity constraints, such as the resource scheduler described in 1, must take extra care in this regard If you recall, the problem.

Once again, you convert the age of the process to values that will then be used to calculate the age in minutes.

Figure 18-2. The structure of the export table group In an unmanaged PE file, the EAT contains the RVA of the exported unmanaged methods. In a managed PE file, the picture is more complicated. The EAT cannot contain the RVA of the managed methods because it s not the managed methods that are exported rather, it s their marshaling thunks, generated at run time. The only way to address a yet-to-be-created thunk is to define a slot in a v-table entry for the exported managed method and a VTableFixup descriptor for this entry, carrying the fromunmanaged flag. In this case, the contents of the v-table slot (a token of the exported method) are replaced at run time with the address of the marshaling thunk. (If the fromunmanaged flag is not specified, the thunk is not created, and the method token is replaced with this method s address; but this is outside the scenario being discussed.) For each exported method, the IL assembler creates a tiny native stub yes, you ve caught me: the IL assembler does produce embedded native code after all consisting of the

in 1 was that we could not enforce our integrity constraint in a multiuser system since we could not see changes made by other uncommitted sessions. Using SERIALIZABLE, we would still not see the uncommitted changes, but we would also not see the committed changes made after our transaction began! As a final point, be aware that SERIALIZABLE does not mean that all transactions executed by users will behave as if they were executed one right after another in a serial fashion. It does not imply that there is some serial ordering of the transactions that will result in the same outcome. The phenomena previously described by the SQL standard do not make this happen. This last point is a frequently misunderstood concept, and a small demonstration will clear it up. The following table represents two sessions performing work over time. The database tables A and B start out empty and are created as follows: ops$tkyte@ORA10G> create table a ( x int ); Table created. ops$tkyte@ORA10G> create table b ( x int ); Table created. Now we have the series of events shown in Table 7-7. Table 7-7. SERIALIZABLE Transaction Example

Alter session set isolation_level= serializable;

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