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system a live system without first testing for any side effects. For example, please do not read this chapter, check your system, and find you are using manual memory management, and then just turn on automatic memory management. Query plans may change, and performance may be impacted. One of three things could happen: Things run exactly the same. Things run better than they did before. Things run much worse then they did before. Exercise caution before making changes, test the proposed change first.

If your firm uses the UNIX operating system and you don t have experience using it, you may be better off taking a basic class in UNIX (or Linux) from HP, Sun, Red Hat, or another vendor You don t need to take such a course for Oracle DBA certification purposes, but it sure will help you if you re new to the UNIX or Linux environment Of course, if your databases are going to use the Windows environment, you may get away without a long and formal course in managing Windows, assuming you are relatively familiar with the Windows operating system, unless you also happen to be a Windows System Administrator..

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Figure 8-24. Concurrent delivery may affect the notification delivery order. The time T1 is the difference in time between the two firings of N1. T2 measures the time from the arrival of N1 at B to the arrival of N2 at D. T3 measures the time from the arrival of N1 at B to the arrival of N3 at D. The timing corresponds essentially to what you already saw in the discussion of breadth-first delivery order, back in 3. Note that T2 is independent of T1. Normally, T1 is much smaller than T2, guaranteeing that N1 is sent to C before N2 is sent to D. But T2 depends on how long it takes B to process N1. If there is a trivial amount of processing involved, it s possible for T2 to be smaller than T1, making it possible for N3 to be sent before N2. The bottom line is that while nonconcurrent delivery is slower, it yields a predictable delivery order. Concurrent delivery provides no such guarantees.

Put simply, Networked Attached Storage (NAS) is a black box connected to your network, and it provides additional storage. The size of a NAS box can range from as small as 2GB up to terabytes of storage capacity. The main difference between a NAS and a SAN is that it is usually easier to scale up a SAN s base storage system using the software provided by your supplier. For example, you can easily combine several disks into a single volume in a SAN. A NAS is set up with its own address, thus moving the storage devices away from the servers onto the NAS box. The NAS communicates with and transfers data to client servers using protocols such as the Network File System (NFS). The NAS architecture is really not very suitable for large OLTP databases. One of the approaches now being recommended by many large storage vendors for general storage as well as for some databases is to combine the SAN and NAS technologies to have the best of both worlds.

One of the most perplexing things for a DBA can be setting the individual parameters, especially parameters such as SORT|HASH_AREA_SIZE and so on. Many times, I see systems running with incredibly small values for these parameters values so small that system performance is massively impacted in a negative way. This is probably a result of the fact that the default values are very small themselves: 64KB for sorting and 128KB for hashing. There is a lot of confusion over how big or small these values should be. Not only that, but the values you would like to use for them might vary over time, as the day goes by. At 8:00 am, with two users,

A good paper comparing the RAID and SAN technologies is Comparison of Performance of Competing Database Storage Technologies: NetApp Storage Networking vs. Veritas RAID, by Dan Morgan and Jeff Browning (http://www.netapp.com/tech_library/3105.html). This article is slightly dated, as the article s authors used Oracle8 for the tests, but it still provides a useful comparison of the technologies.

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