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In general, common sense prevails in estimating the amount of redo created. If the operation you perform causes undo data to be created, then determine how easy or hard it will be to reverse (undo) the effect of your operation. If you INSERT 2,000 bytes, the reverse of this is easy. You simply go back to no bytes. If you DELETE 2,000 bytes, the reverse is INSERTing 2,000 bytes. In this case, the redo is substantial. Armed with this knowledge, you will avoid deleting from temporary tables. You can use TRUNCATE, bearing in mind, of course, that TRUNCATE is DDL that will commit your transaction, and in Oracle9i and before invalidate your cursors. Or just let the temporary tables empty themselves automatically after a COMMIT or when your session terminates. All of these methods generate no undo and, therefore, no redo. You should try to avoid updating a temporary table unless you really have to for some reason. You should use temporary tables mostly as something to be INSERTed into and SELECTed from. In this fashion, you ll make optimum use of their unique ability to not generate redo.

Tip Passing objects across the network while they re being edited is not anticipated, but since business objects are Serializable, you can t prevent the business developer from doing just that. If the stack were to reference a MemoryStream, the business application would get a runtime error as the serialization fails, and that s not acceptable. Converting the data to a byte array avoids accidentally crashing the application on the off chance that the business developer does decide to pass an object across the network as it s being edited.

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We ve already discussed a lot of undo segment topics. We ve seen how they are used during recovery, how they interact with the redo logs, and how they are used for consistent, non-blocking reads of data. In this section, we ll look at the most frequently raised issues with undo segments. The bulk of our time will be spent on the infamous ORA-01555: snapshot too old error, as this single issue causes more confusion than any other topic in the entire set of database topics. Before we do this, however, we ll investigate one other undo-related issue: the question of what type of DML operation generates the most and least undo (you might already be able to answer that yourself, given the preceding examples with temporary tables).

Transactions are a fundamental feature of all databases they are part of what distinguishes a database from a file system. And yet, they are often misunderstood and many developers do not even know that they are accidentally not using them. This chapter examines how transactions should be used in Oracle and also exposes some bad habits that may have been picked up when developing with other databases. In particular, we look at the implications of atomicity and how it affects statements in Oracle. We also discuss transaction control statements (COMMIT, SAVEPOINT, and ROLLBACK), integrity constraints, distributed transactions (the two-phase commit, or 2PC), and finally autonomous transactions.

At this point, we re a third of the way through implementing n-level undo support. It is now possible to create a stack of snapshots of an object s data. It is time to move on and discuss the undo and accept operations.

Else, he mused, it s probably again a matter of time before the energy state that buried the Atlanteans buries them again He preferred not to contemplate that energy state possibility Given the various energy states to which the humans refer to as catastrophes that occur so often as a result of miscommunication between them regarding time Sam zeroed in on their current synchronization mechanisms He wanted to be perfectly clear about them in order to minimize any potential for a catastrophe during his upcoming role He knew that catastrophes usually require a cleanup He wasn t sure if he wanted to play a subsequent, additional cleanup role There are quite a few time synchronization tools, he murmured: time zones, daylight savings, standard, leap year, and more.

It can be said that developers do not need to understand the detail of redo and undo as much as DBAs, but developers do need to know the role they play in the database. After first defining redo, we examine what exactly a COMMIT does. We discuss how to find out how much redo is being generated and how to significantly reduce the amount of redo generated by certain operations using the NOLOGGING clause. We also investigate redo generation in relation to issues such as block cleanout and log contention. In the undo section of the chapter, we examine the role of undo data and the operations that generate the most/least undo. Finally, we investigate the infamous ORA-01555: snapshot too old error, its possible causes, and how to avoid it.

Oracle now supports numerous table types. This chapter looks at each different type heap organized (i.e., the default, normal table), index organized, index clustered, hash clustered, nested, temporary, and object and discusses when, how, and why you should use them. Most of time, the heap organized table is sufficient, but this chapter will help you recognize when one of the other types might be more appropriate.

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