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Not only does response time rise dramatically at this point, but throughput from the system may fall, too, as the overhead of simply context switching and sharing resources between too many consumers takes additional resources itself If we limit the maximum concurrency to the point right before this drop, we can sustain maximum throughput and minimize the increase in response time for most users Shared server allows us to limit the maximum degree of concurrency on our system to this number An analogy for this process could be a simple door The width of the door and the width of people limit the maximum people per minute throughput At low load, there is no problem; however, as more people approach, some forced waiting occurs (CPU time slice).

Although our concern in this chapter is with installing Oracle server software, the storage space necessary for database files (which includes the files for tables and indexes, as well as the files for the redo logs and the undo tablespace and so on) will, in most cases, dwarf the space needed for the installation files. Although nothing prevents you from placing all your database files on one storage device, Oracle recommends that you use a logical volume spread over several disks or use a RAID system. Oracle further recommends that you use the SAME (stripe-and-mirror-everything) technique. For

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For example, if you set your SIZE to 1,500 bytes and you have a 4KB blocksize, Oracle will expect to store two keys per block If you plan on having 1,000 HASHKEYs, Oracle will allocate 500 blocks It is interesting to note that unlike a conventional hash table in a computer language, it is OK to have hash collisions in fact, it is desirable in many cases If you take the same DEPT/EMP example from earlier, you could set up a hash cluster based on the DEPTNO column Obviously, many rows will hash to the same value, and you expect them to (they have the same DEPTNO) This is what the cluster is about in some respects: clustering like data together.

each of the mount points you select for your database files, you need to issue the following commands as root in order to set the owner, group, and permissions: # mkdir /mount_point/oradata # chown oracle:oinstall /mount_point/oradata # chmod 775 /mount_point/oradata Using the preceding command structure, you can create as many subdirectories for your datafiles as necessary; for example, /u10/oradata, /u11/oradata, and so on.

If a lot of people want to get through the door, we get the fallback effect there are so many people saying after you and so many false starts that the throughput falls Everybody gets delayed getting through Using a queue means the throughput increases, some people get through the door almost as fast as if there was no queue, while others (the ones put at the end of the queue) experience the greatest delay and might fret that this was a bad idea But when you measure how fast everybody (including the last person) gets through the door, the queued model (shared server) performs better than a free-for-all approach (even with polite people; but conjure up the image of the doors opening when a store has a large sale, with everybody pushing very hard to get through)..

The flash recovery area is a disk area set apart for storing all the recovery-related files. It s a good idea to create it on entirely different storage devices from where you have your datafiles. You also need to set another parameter, DB_RECOVERY_FILE_DEST, to indicate the location of the flash recovery area. You can set the physical size of the flash recovery area by using the DB_RECOVERY_FILE_DEST_SIZE initialization parameter. Here is how you create the flash recovery area directory: # mkdir /mount_point/flash_recovery_area # chown oracle:oinstall /mount_point/flash_recovery_area # chmod 775 /mount_point/flash_recovery_area For example, you can designate /u20/flash_recovery_area as your flash recovery area, and set the DB_RECOVERY_FILE_DEST_SIZE parameter to 5GB.

This is why Oracle asks you to specify the HASHKEYs (how many department numbers you anticipate over time) and SIZE (what the size of the data is that will be associated with each department number) It allocates a hash table to hold HASHKEY number of departments of SIZE bytes each What you do want to avoid is unintended hash collisions It is obvious that if you set the size of the hash table to 1,000 (really 1,009, since the hash table size is always a prime number and Oracle rounds up for you), and you put 1,010 departments in the table, there will be at least one collision (two different departments hashing to the same value) Unintended hash collisions are to be avoided, as they add overhead and increase the probability of block chaining occurring.

management routines are very different; the same operations executed against a table in ASSM and MSSM may well result in different physical order. The data will logically be the same, but it will be stored in different ways.

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