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Since Oracle 11g Release 2, ASM provides not only this database file system but optionally a clustered file system as well, which is described next Clustered file system: This is specifically for a RAC (clustered) environment and provides what looks like a cooked file system that is shared by many nodes (computers) in a clustered environment A traditional cooked file system is usable by only one computer in a clustered environment So, while it is true that you could NFS mount or Samba share (a method of sharing disks in a Windows/UNIX environment similar to NFS) a cooked file system among many nodes in a cluster, it represents a single point of failure If the node owning the file system and performing the sharing failed, that file system would be unavailable.

Figure 1-9. Common locations for business logic in applications Business logic is put in a web Interface layer to give the user a more interactive experience and put into a Windows Interface layer for the same reason. The business logic is rechecked on the web server because the browser isn t trustworthy. And database administrators put the logic into the database (via stored procedures and other database constructs) because they don t trust any application developers. The result of all this validation is a lot of duplicated code, all of which has to be debugged, maintained, and somehow kept in sync as the business needs (and thus logic) change over time. In the real world, the logic is almost never really kept in sync, so developers must constantly debug and maintain the code in a near-futile effort to make all these redundant bits of logic agree with each other. One solution is to force all the logic into a single layer, thereby making the other layers as dumb as possible. There are various approaches to this, although (as you ll see) none of them provides an optimal solution. Another solution is to dynamically generate the validation logic for the Interface or Interface Control layer based on metadata provided from the Business layer. This requires more work in the interface layers but can increase maintainability overall.

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In releases of Oracle prior to 11g Release 2, the Oracle Cluster File System (OCFS) is Oracle s offering in this area and is currently available for Windows and Linux only Other third-party vendors provide certified clustered file systems that work with Oracle as well Oracle Database 11g Release 2 provides another option in the form of ACFS, the ASM Clustered File System A clustered file system brings the comfort of a cooked file system to a clustered environment..

Note As of Oracle Database 11g Release 1 (11.1.0.7), there is yet another file system available Exadata.

The classic approach is to put all logic into the database as the single, central repository. The interface then allows the user to enter absolutely anything (because any validation would be redundant), and the Business layer now resides inside the database. The Data Access layer does nothing but move the data into and out of the database, as shown in Figure 1-10.

Exadata is a storage area network for Oracle specifically designed for the database. It is beyond the scope of this book to describe that piece of hardware however, so we will not be discussing it in any detail.

The interesting thing is that a database might consist of files from any or all of the preceding file systems you don t need to pick just one. You could have a database whereby portions of the data were stored in conventional cooked file systems, some on raw partitions, others in ASM, and yet other components in a clustered file system. This makes it rather easy to move from technology to technology, or to just get your feet wet in a new file system type without moving the entire database into it. Now, since a full discussion of file systems and all of their detailed attributes is beyond the scope of this book, we ll dive back into the Oracle file types. Regardless of whether the file is stored on cooked file systems, in raw partitions, within ASM, or on a clustered file system, the following concepts always apply.

Figure 1-10. Validation and business logic in the Data Storage and Management layer The advantage of this approach is that the logic is centralized, but the drawbacks are plentiful. For starters, the user experience is totally non-interactive. Users can t get any results, or even confirmation that their data is valid, without round-tripping the data to the database for processing. The database server becomes a performance bottleneck, because it s the only thing doing any actual work. Unfortunately, the hardest physical tier to scale up for more users is the database server, since it is difficult to use load-balancing techniques on it. The only real alternative is to buy bigger and bigger server machines.

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