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V$UNDOSTAT can be very useful to monitor the amount of undo you are generating and the duration of your longest running queries. Many people consider things like temp, undo, and redo as overhead things to allocate as little storage to as possible. This is reminiscent of a problem the computer industry had on January 1, 2000, which was all caused by trying to save 2 bytes in a date field. These components of the database are not overhead, but rather are key components of the system. They must be sized appropriately (not too big and not too small).
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Note Speaking of UNDO segments being too small, make sure to set your undo tablespace back to your regular one after running these examples, otherwise you ll be hitting ORA-30036 errors for the rest of the book!
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Restartable Processes Require Complex Logic
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The most serious problem with the commit before the logical transaction is over approach is the fact that it frequently leaves your database in an unknown state if the UPDATE fails halfway through. Unless you planned for this ahead of time, it is very hard to restart the failed process, allowing it to pick up where it left off. For example, say we were not applying the LOWER() function to the column, as in the previous example, but rather some other function of the column, such as last_ddl_time = last_ddl_time + 1; If we halted the UPDATE loop partway through, how would we restart it We could not just rerun it, as we would end up adding 2 to some dates, and 1 to others. If we fail again, we would add 3 to some, 2 to others, 1 to the rest, and so on. We need yet more complex logic some way to partition the data. For example, we could process every OBJECT_NAME that starts with A, and then B, and so on: ops$tkyte%ORA11GR2> create table to_do 2 as 3 select distinct substr( object_name, 1,1 ) first_char 4 from T 5 / Table created. ops$tkyte%ORA11GR2> ops$tkyte%ORA11GR2> 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 / 1270 rows updated
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3122 rows updated 7 rows updated 5 rows updated 8 rows updated 2627 rows updated 16 rows updated 3 rows updated 11 rows updated 3 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 very wide distribution of rows. The second 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.
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Note In 14, Parallel Execution, we ll visit a new feature in Oracle Database 11g Release 2 the
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DBMS_PARALLEL_EXECUTE package. There we ll revisit this restartable approach and deal with the non-uniform
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