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Figure 3-34. Detecting events in the wrong order After X checks for e1, that event occurs, so it is missed. The same thing occurs for e2, so X misses detecting the first two events, because they occur after their presence is checked in the polling loop. Object X does catch the third one, though. A bit later, the loop repeats, and the first two events are detected. To avoid detecting events out of order, the system could avoid polling and rely on real-time hardware detection. Each time a condition occurs, it generates an interrupt, causing the appropriate interrupt service routine to be called to trigger the event detection. But you re still not out of the woods. While servicing the interrupt for the first event, other events can occur, so you must take care to ensure the capture of events that occur while another event is being handled. The details are beyond the scope of this book. Notifications sent from a sender might trigger events in the receivers. If notifications are delivered using procedure calls, each notification could directly invoke the appropriate event-handler method, ensuring that the various handlers are invoked in the same order as the incoming notifications. But here again there is a potential problem regarding how to handle the incoming notifications that are concurrent, produced from callers in different processes or threads. For the purposes of this discussion, I ll consider the event order to be the order in which the events are detected, without worrying if the detected order reflects the real order. A common ordering problem occurs with multicast event notifications. Consider the example in Figure 3-35.

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Standby databases come in two flavors: physical and logical. Even the logical database, contrary to what its name implies, is a real standby database. Logical and physical standby databases are maintained in the same fashion: by propagating changes from the main production (primary) database to the standby database. Physical standby databases are updated by applying the primary database s archived redo logs using the arch background process. However, the LGWR process can also be used to transfer the redo

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log data from the primary to the standby databases. Physical standby databases are identical to the production database. A physical standby database must undergo a constant recovery process for it to be in tune with the production database. Logical standby databases, on the other hand, use the same archived logs to derive transaction information, which is applied to the standby database using SQL statements. The big difference between the two standby databases is that you can t use a physical standby database for reporting while you re performing recovery on it. However, you can continuously access a logical database for reporting and querying, even while you re performing recovery on it. You can have a maximum of nine logical and physical standby databases in one Oracle Data Guard configuration. Both logical and physical standby databases have their own benefits and drawbacks. The physical standby database is the traditional Oracle standby database, and it is based on applying redo logs from the production server to recover. There are no data limitations all types of DML and DDL can be propagated mechanically with the application of the redo logs.

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You can choose three data protection modes when you use the Oracle Data Guard feature to maintain standby databases The protection modes are a reflection of the trade-off between availability and performance The following modes are available: Maximum protection mode: This mode, also called the double failure protection mode, offers the highest level of protection This mode guarantees that no data loss will occur if your primary database fails To ensure this protection, the redo data must be written to both the primary database s online redo log and the standby redo log on at least one standby database, before a transaction can commit The primary database will shut down if it can t write redo data to at least one of the secondary database redo log files Maximum availability mode: This mode, also known as instant protection mode, offers protection from the failure of the primary production database.

n1.1

You get the highest level of data protection possible while keeping the primary database available The redo data from the primary server is written asynchronously following the committing of the transactions on the primary server You could lose your primary database, your standby database, or the network connection connecting the two, without losing any data under this data protection mode If you lose the connection to the standby database, the primary server stops shipping changes to it, but doesn t shut down Maximum performance mode: If you don t need protection against a zero loss of data, but you would like to keep the production database s performance at its peak level, this is the mode of protection you should choose The primary database doesn t wait for confirmation from the secondary database before committing its changes.

If the primary database fails, the standby database might miss some changes that were already committed on the primary As you can see, each mode is designed to provide either a greater amount of performance or a greater amount of data protection It s up to the individual organization to make a choice between them, based on the firm s needs..

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