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Today, large databases are ubiquitous, with terabyte (1,000GB) databases not being a rarity any longer Organizations tend to not only have several large databases for their OLTP work, but also use huge data warehouses and data marts for supporting management decision making Storage Area Networks (SANs) use high-performance connections and RAID storage techniques to achieve the high performance and reliability that today s information organizations demand Modern data centers use SANs to optimize performance and reliability SANs can be very small or extremely large, and they lend themselves to the latest technologies in disk storage and network communications Traditionally, storage devices were hooked up to the host computer through a SCSI device SANs can be connected to servers via high-speed fiber channel technology with the help of switches and hubs.

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You can adapt legacy SCSI-based devices for use with a SAN, or you can use entirely new devices specially designed for the SAN A SAN is enabled by the use of fiber channel switches called brocade switches By using hubs, you can use SANs that are several miles away from your host servers The chances are that if you are not using one already, you ll be using a SAN in the very near future SANs offer many benefits to an organization They allow data to be stored independently of the servers that run the databases and other applications They enable backups that do not affect the performance of the network They facilitate data sharing among applications SANs are usually preconfigured, and depending on your company s policy, they could come mirrored or as a RAID 5 configuration.

1. The search for the term where you want to insert the new text. 2. The i for inserting the new text. This command switches the editor into insert

The individual disks in the SANs are not directly controllable by the UNIX system administrator, who will see the LUN as a single disk the storage array s controllers map the LUNs to the underlying physical disks The administrator can use LVMs to create file systems on these LUNs after incorporating them into volume groups first When you use RAID-based storage arrays, the RAID controllers on the SAN will send the server I/O requests to the various physical drives, depending on the mirroring and parity level chosen..

Even though IDisposable is widely accepted in the .NET world, there are some limits that have to be mentioned. An obvious limit is that you can easily forget to call Dispose. C++/CLI and the managed libraries shipped with Visual C++ provide various features for disposing objects. You can either dispose an object manually via delete, or you can use local variables or fields with the implicitly dereferenced syntax so that an object is disposed automatically. You can also use auto_handle and auto_gcroot for automatic disposal of objects. Other .NET languages do not have features with comparable power. For example, C# supports automatic cleanup for local variables only (via the using construct) there is no C# support for automatically disposing fields. Manually implementing destruction logic in an exception-safe way can be error-prone work. There are also scenarios in which programmers can t decide whether IDisposable should be called or not. Assume you have a Windows Forms control and you want to assign a new font object to the control s Font property. Should the Font object that you overwrite be disposed Chances are high that you simply can t say maybe another control still needs that font, maybe not. Instead of disposing a font that is potentially still needed, it is preferable to leave the font undisposed even though this causes a temporary resource leak. Typically, resource leaks caused by undisposed .NET objects are only temporary leaks, because .NET comes with an additional last-chance option which is discussed in the next section.

When your users complain that the database is crawling and they can t get their queries returned fast enough, there s no use in your protesting that your database is showing high hit ratios for the shared pool and the buffer cache (and the large pool and redo log buffer as well). If the users are waiting for long periods of time to complete their tasks, then the response time will be slow, and you can t say that the database is performing well, the high hit ratios notwithstanding.

For an interesting review of the Oracle wait analysis (the wait interface), please read one of the early papers in this area, titled Yet Another Performance Profiling Method (or YAPP-Method), by Anjo Kolk, Shari Yamaguchi, and Jim Viscusi. It s available at the OraPerf web site at http://www.oraperf.com (a free registration is required).

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