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exception introduction pattern, vs. 335 SQLException, example of 361 syntax 137 declare warning 97 best practices, use in 190 example of 180 policy enforcement example of 186 transaction management example 374 decorator design pattern 246 default association instance creation transaction management example 382 default interface implementation 281 285 overriding 284 partial 284 multiple inheritance 284 providing, idiom 281 DefaultTableModel 196 DelegatingThread 226 implementation of 227 need for 226 delegation pattern 282 deployment policy enforcement 185 -deprecation ajc option 440 design bloat 6 limitations of techniques 6 realization in hindsight 5 design pattern definition of 246 idiom, difference 246 language specificity, and 246 object-oriented decorator 246 factory 246 visitor 246 problem scope, and 246 relationship with AOP 30 use in design phase 430 design phase AspectJ, using 428 core concern implementation 428

because everyone has access to statspack, everyone. It might have to be installed by your DBA, but every Oracle customer has access to it. I want to present results that are reproducible by everyone.

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Since only one session at a time can hold a block in current mode, Oracle needs to limit the time we have it in that mode After this trigger fired, Oracle retrieved the block in current mode and noticed that the column used to find this row, X, had been modified Since X was used to locate this record and X was modified, the database decided to restart our query Notice that the update of X from 1 to 2 did not put this row out of scope; we ll still be updating it with this UPDATE statement Rather, it is the fact that X was used to locate the row, and the consistent read value of X (1 in this case) differs from the current mode read of X (2).

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). It would be correct if the processing we were performing needed no shared resource, but our process will use a shared resource, namely the shared pool. We need to latch the shared pool to parse SQL statements, and we need to latch the shared pool because it is a shared data structure, and we cannot modify it while others are reading it and we cannot read it while it is being modified.

crosscutting concern 428 defining roles 428 detecting caller type call stack, using 406 conventional methods, using 405 wormhole pattern, using 405 development phase policy enforcement 184 developmental aspect policy enforcement 179, 184 distributed system tracing 157 distributed transaction management 387 doAsPrivileged() authorization, use of 338 documentation policy enforcement, using 181 domination See aspect precedence 116 durability transaction, and 357 dynamic context 101 pointcut vs. reflection 101 dynamic crosscutting 34, 81 definition of 34 runtime policy enforcement, and 184 See also advice 81 static crosscutting, comparison with 95 use of pointcut 35 dynamic information logging 107 dynamic monitoring 176 dynamic profiling 432 dynamic proxies using 13 14 dynamic service-level monitoring 176

Now, upon restart, the trigger sees the value of X=2 (following modification by the other session) as the :OLD value and X=3 as the :NEW value So, that shows that these restarts happen It takes a trigger to see them in action; otherwise, they are generally undetectable That does not mean you cannot see other symptoms such as a large UPDATE statement rolling back work after updating many rows and then discovering a row that causes it to restart just that it is hard to definitively say, This symptom is caused by a restart An interesting observation is that triggers themselves may cause restarts to occur even when the statement itself doesn t warrant them Normally, the columns referenced in the WHERE clause of the UPDATE or DELETE statement are used to determine whether or not the modification needs to restart.

Note I ve performed these tests using Java, PL/SQL, Pro*C, and other languages. The end results are very

Oracle will perform a consistent read using these columns and, upon retrieving the block in current mode, it will restart the statement if it detects that any of them have changed Normally, the other columns in the row are not inspected For example, let s simply rerun the previous example and use WHERE Y>0 to find the rows: ops$tkyte@ORA10G> update t set x = x+1 where y > 0; oldx = 1, oldy = 1 newx = 2, newy = 1 oldx = 2, oldy = 1 newx = 3, newy = 1 1 row updated.

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