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Declaring the members of generic types is more or less straightforward: the types of the members can be nongeneric types, type parameters of the generic type, or generic instantiations (or constructions thereof): .class public Container`1<T> { .field private int32 count .field private !T[] arr .method public int32 Count() { ... } .method public !T Element(int32 idx) { ... } ... } There is an interesting limitation imposed on the methods of generic types: they cannot have the vararg calling convention. Referencing the members of a generic type is a bit trickier than declaring them: their resolution scope must always be the instantiation of the parent type even if the members are referenced inside the parent type: .class public Container`1<T> { .field private int32 count .field private !T[] arr .method public int32 Count() { ldarg.0 ldfld int32 class Container`1<!T>::count ret } .method public !T Element(int32 idx) { ldarg.0 ldfld !T[] class Container`1<!T>::arr ldarg.1 ldelem !T ret } ... }

last_ddl_time = last_ddl_time + 1; If we halted the UPDATE loop partway through, how would we restart it We could not just rerun it, as we would end up adding 2 to some dates, and 1 to others. If we fail again, we would add 3 to some, 2 to others, 1 to the rest, and so on. We need yet more complex logic some way to partition the data. For example, we could process every OBJECT_NAME that starts with A, and then B, and so on: ops$tkyte@ORA10G> create table to_do 2 as 3 select distinct substr( object_name, 1,1 ) first_char 4 from T 5 / Table created. ops$tkyte@ORA10G> begin 2 for x in ( select * from to_do ) 3 loop 4 update t set last_ddl_time = last_ddl_time+1 5 where object_name like x.first_char || '%'; 6 7 dbms_output.put_line( sql%rowcount || ' rows updated' ); 8 delete from to_do where first_char = x.first_char; 9 10 commit; 11 end loop; 12 end; 13 / 22257 rows updated 1167 rows updated 135 rows updated 1139 rows updated 2993 rows updated 691 rows updated ... 2810 rows updated 6 rows updated 10 rows updated 2849 rows updated 1 rows updated 2 rows updated 7 rows updated PL/SQL procedure successfully completed. Now, we could restart this process if it fails, since we would not process any object name that had already been processed successfully. The problem with this approach, however, is that unless we have some attribute that evenly partitions the data, we will end up having a

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very wide distribution of rows. The first UPDATE did more work than all of the others combined. Additionally, if other sessions are accessing this table and modifying the data, they might update the object_name field as well. Suppose that some other session updates the object named Z to be A, after we already processed the As we would miss that record. Furthermore, this is a very inefficient process compared to UPDATE T SET LAST_DDL_TIME = LAST_DDL_TIME+1. We are probably using an index to read every row in the table, or we are full scanning it n-times, both of which are undesirable. There are so many bad things to be said about this approach. The best approach is the one I advocated at the beginning of 1: do it simply. If it can be done in SQL, do it in SQL. What can t be done in SQL, do in PL/SQL. Do it using the least amount of code you can. Have sufficient resources allocated. Always think about what happens in the event of an error. So many times, I ve seen people code update loops that worked great on the test data but then failed halfway through when applied to the real data. Now they are really stuck, as they have no idea where it stopped processing. It is a lot easier to size undo correctly than it is to write a restartable program. If you have truly large tables that need to be updated, then you should be using partitions (more on that in 10), allowing you to update each partition individually. You can even use parallel DML to perform the update.

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