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The clustering column for this cluster will be the DEPTNO column The columns in the tables do not have to be called DEPTNO but they must be NUMBER(2) to match this definition We have, on the cluster definition, a SIZE 1024 option This is used to tell Oracle that we expect about 1,024 bytes of data to be associated with each cluster key value Oracle will use that to compute the maximum number of cluster keys that could fit per block Given that we have an 8KB block size, Oracle will fit up to seven cluster keys (but maybe less if the data is larger than expected) per database block For example, the data for departments 10, 20, 30, 40, 50, 60, and 70 would tend to go onto one block, and as soon as we insert department 80, a new block will be used.

table, it will dump detailed statistics, including the total page count. For example, if you run it on the foods database, you get the following information about episodes: *** Table EPISODES *************************************************** Percentage of total database.......... Number of entries..................... Bytes of storage consumed............. Bytes of payload...................... Average payload per entry............. Average unused bytes per entry........ Average fanout........................ Maximum payload per entry............. Entries that use overflow............. Index pages used...................... Primary pages used.................... Overflow pages used................... Total pages used...................... Unused bytes on index pages........... Unused bytes on primary pages......... Unused bytes on overflow pages........ Unused bytes on all pages............. 20.0% 181 5120 3229 17.84 5.79 4.00 38 0 1 4 0 5 990 58 0 1048

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This does not mean that the data is stored in a sorted manner; it just means that if we inserted the departments in that order, they would naturally tend to be put together If we inserted the departments in the order 10, 80, 20, 30, 40, 50, 60, and then 70, the final department (70) would tend to be on the newly added block As we ll see below, both the size of the data and the order in which the data is inserted will affect the number of keys we can store per block The SIZE parameter therefore controls the maximum number of cluster keys per block It is the single largest influence on the space utilization of our cluster Set the size too high, and we ll get very few keys per block and we ll use more space than we need.

Set the size too low, and we ll get excessive chaining of data, which offsets the purpose of the cluster to store all of the data together on a single block It is the most important parameter for a cluster..

Two cells with a similar number of canceled policies may have a different index. A value of 1000 has a higher index if it s the highest value in its row and column, but the same value would have a lower index if it s the lowest value in its row and column. For example, in the West region, the values for Auto and Prop are almost equal, but the index for the Auto is 1.02 and Prop is 0.98. Because the grand total is higher for the Prop column, the Grand Column Total in the Index formula is larger. The West Prop amount is divided by this larger number, and its resulting index is smaller.

This is one of the most highly touted reasons for using shared server: it reduces the amount of required memory. It does, but not as significantly as you might think, especially given the new automatic PGA memory management discussed in 4, Memory Structures, where work areas are allocated to a process, used, and released and their size varies based on the concurrent workload. So, this was a fact that was truer in older releases of Oracle but is not as meaningful today. Also, remember that when you use shared server, the UGA is located in the SGA. This means that when switching over to shared server, you must be able to accurately determine your expected UGA memory needs and allocate appropriately in the SGA via the LARGE_POOL_SIZE parameter. The SGA requirements for the shared server configuration are typically very large. This memory must typically be preallocated and thus can only be used by the database instance.

63.1%

Note It is true that with a resizable SGA, you may grow and shrink this memory over time, but for the most part,

Contrast this with dedicated server, where anyone can use any memory not allocated to the SGA. If the SGA is much larger due to the UGA being located in it, where does the memory savings come from It comes from having that many fewer PGAs allocated. Each dedicated/shared server has a PGA. This is process information. It is sort areas, hash areas, and other process-related structures. It is this memory need that you are removing from the system by using shared server. If you go from using 5,000 dedicated servers to 100 shared servers, it is the cumulative sizes of the 4,900 PGAs (excluding their UGAs) you no longer need that you are saving with shared server.

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