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In many technologies, objects are always passed by reference. This means that when you pass an object from one machine or process to another, what actually happens is that the object remains in the original process, and the other process or machine merely gets a pointer, or reference, back to the object, as shown in Figure 1-19.

not be as effective as it could be, and it can defeat the block cleanout mechanism discussed in the next section. The approach you take will depend on your circumstances. This is something that must be fixed at the database level, taking the entire instance into consideration.

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In this section, we ll discuss block cleanouts, or the removal of locking -related information on the database blocks we ve modified This concept is important to understand when we talk about the infamous ORA-01555: snapshot too old error in a subsequent section If you recall from 6 Locking and Latching, we talked about data locks and how they are managed I described how they are actually attributes of the data, stored on the block header A side effect of this is that the next time that block is accessed, we may have to clean it out in other words, remove the transaction information This action generates redo and causes the block to become dirty if it wasn t already, meaning that a simple SELECT may generate redo and may cause lots of blocks to be written to disk with the next checkpoint.

By using this reference, the other machine can interact with the object. Because the object is still on the original machine, however, any property or method calls are sent across the network, and the results are returned back across the network. This scheme is useful only if the object is designed so it can be used with very few method calls; just one is ideal. The recommended designs for Enterprise Services objects call for each method on the object to do all its work in a single method call for precisely this reason, thereby sacrificing proper objectoriented design in order to reduce latency. The same is effectively true for objects exposed to the network through WCF. Each method on a service object should do all its work, not relying on the client to have called other methods before or after calling this method. These types of objects are stuck, or anchored, on the original machine or process where they were created. An anchored object never moves; it s accessed via references. In .NET, you can create an anchored object in a couple different ways. If you re using WCF, the object will implement a service contract: <ServiceContract()> _ Public Interface IMyService <OperationContract()> _ Sub MyOperation() End Interface Public Class MyServiceImplementation Implements IMyService End Class If you re using the older .NET Remoting technology, you create an anchored object by having it inherit from MarshalByRefObject: Public Class MyAnchoredClass Inherits MarshalByRefObject End Class Either way, the .NET Framework takes care of the details. Code running in another process or on another machine across the network can call the anchored object.

Under most normal circumstances, however, this will not happen If you have mostly small- to medium-sized transactions (OLTP), or you have a data warehouse that performs direct-path loads or uses DBMS_STATS to analyze tables after load operations, you ll find the blocks are generally cleaned for you If you recall from the earlier section titled What Does a COMMIT Do one of the steps of COMMIT-time processing is to revisit some blocks if they are still in the SGA and if they are accessible (no one else is modifying them), and then clean them out This activity is known as a commit clean out and is the activity that cleans out the transaction information on our modified block Optimally, our COMMIT can clean out the blocks so that a subsequent SELECT (read) will not have to clean it out.

Only an UPDATE of this block would truly clean out our residual transaction information, and since the UPDATE is already generating redo, the cleanout is not noticeable We can force a cleanout to not happen, and therefore observe its side effects, by understanding how the commit cleanout works In a commit list associated with our transaction, Oracle will record lists of blocks we have modified Each of these lists is 20 blocks long, and Oracle will allocate as many of these lists as it needs up to a point If the sum of the blocks we modify exceeds 10 percent of the block buffer cache size, Oracle will stop allocating new lists For example, if our buffer cache is set to cache 3,000 blocks, Oracle will maintain a list of up to 300 blocks (10 percent of 3,000).

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