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An alternative is available. If the logical AND (&&) is replaced with a logical OR (||), the additional code is executed only if the test returns false. This example can be read as test the condition OR execute the additional code (if the test evaluates as false).

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Many developers have some bad habits when it comes to transactions. I see this frequently with developers who have worked with a database that supports but does not promote the use of transactions. For example, in Informix (by default), Sybase, and SQL Server, you must explicitly BEGIN a transaction; otherwise, each individual statement is a transaction all by itself. In a similar manner to the way in which Oracle wraps a SAVEPOINT around discrete statements, these databases wrap a BEGIN WORK/COMMIT or ROLLBACK around each statement. This is because, in these databases, locks are precious resources, and readers block writers and vice versa. In an attempt to increase concurrency, these databases would like you to make the transaction as short as possible sometimes at the expense of data integrity. Oracle takes the opposite approach. Transactions are always implicit, and there is no way to have an autocommit unless an application implements it (see the Using Autocommit section for more details). In Oracle, every transaction should be committed when it must and never before. Transactions should be as large as they need to be. Issues such as locks, blocking, and so on should not really be considered the driving forces behind transaction size data integrity is the driving force behind the size of your transaction. Locks are not a scarce resource, and there are no contention issues between concurrent readers and writers of data.

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This allows you to have robust transactions in the database. These transactions do not have to be short in duration they should be exactly as long as they need to be (but no longer). Transactions are not for the convenience of the computer and its software; they are to protect your data.

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Both the logical AND (&&) and logical OR (||) sequences are simply shortcut versions of the more verbose syntax presented here.

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Faced with the task of updating many rows, most programmers will try to figure out some procedural way to do it in a loop, so that they can commit every so many rows. I ve heard two main reasons for doing it this way: It is faster and more efficient to frequently commit lots of small transactions than it is to process and commit one big transaction. We don t have enough undo space. Both of these conclusions are misguided. Furthermore, committing too frequently leaves you prone to the danger of leaving your database in an unknown state should your update fail halfway through. It requires complex logic to write a process that is smoothly restartable in the event of failure. By far the best option is to commit only as frequently as your business processes dictate and to size your undo segments accordingly. Let s take a look at these issues in more detail.

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It is generally not faster to commit frequently it is almost always faster to do the work in a single SQL statement. By way of a small example, say we have a table, T, with lots of rows, and we want to update a column value for every row in that table. We ll use two tables, T1 and T2, to demonstrate: ops$tkyte@ORA10G> create table t1 as select * from all_objects; Table created. ops$tkyte@ORA10G> exec dbms_stats.gather_table_stats( user, 'T1' ); PL/SQL procedure successfully completed. ops$tkyte@ORA10G> create table t2 as select * from t1; Table created. ops$tkyte@ORA10G> exec dbms_stats.gather_table_stats( user, 'T2' ); PL/SQL procedure successfully completed. Well, when we go to update, we could simply do it in a single UPDATE statement, like this: ops$tkyte@ORA10G> set timing on ops$tkyte@ORA10G> update t1 set object_name = lower(object_name); 48306 rows updated. Elapsed: 00:00:00.31

test $debug -eq 1 && { echo some_debug_output echo some_more_debug_output }

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