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Oracle gives you flexibility in the use of the buffer cache by allowing you to configure the database buffer cache into multiple buffer pools. A buffer pool in this context is simply a part of the total buffer cache that is subject to different retention criteria for database objects like tables. For example, you can take a total buffer cache of 500MB and divide it into three pools, with 200MB in the first two pools and 100MB in the third. Once you have created separate buffer pools, you can assign a table exclusively to that buffer pool when you create that table. You can also use the ALTER TABLE or ALTER INDEX command to modify the type of buffer pool that a table or an index should use. Table 5-2 lists the main types of buffer pools that you can configure. Note that any database objects that you haven t assigned to the keep or the recycle buffer pool will be assigned to the default buffer pool, which is sized according to the value you provide for the DB_CACHE_SIZE initialization parameter. The keep and the recycle buffer pools are purely optional, while the default buffer pool is mandatory. Remember that the main goal in assigning objects to multiple buffer pools is to minimize the misses in the data cache and thus minimize your disk I/O. In fact, all buffer-caching strategies have this as their main goal. If you aren t sure which objects in your database belong to the different types of buffer caches, just let the database run for a while with some best-guess multiple cache sizes and query the data dictionary view V$DB_CACHE_ADVICE to get some advice from Oracle itself.

For example, all of the employees in department 10 will be stored on the same block (or as few blocks as possible, if they all don t fit) It is not storing the data sorted that is the role of the IOT It is storing the data clustered by some key, but in a heap So, department 100 might be right next to department 1, and very far away (physically on disk) from departments 101 and 99 Graphically, you might think of it as shown in Figure 10-8 On the left side of the image, we are using conventional tables EMP will be stored in its segment DEPT will be stored on its own They may be in different files and different tablespaces, and they are definitely in separate extents On the right side of the image, we see what would happen if we clustered these two tables together.

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Keeps the data blocks always in memory. You may have small tables that are frequently accessed, so to prevent them from being aged out of the database buffer cache, you can assign the tables to the keep buffer cache when they are created. Removes the data from the cache immediately after use. You need to use this buffer pool carefully, if you decide to use it at all. The recycle buffer pool will cycle out the object from the cache as soon as the transaction is over. Obviously, you would use the recycle buffer pool only for large tables that are infrequently accessed and that do not need to be retained in the buffer cache indefinitely. Contains all data and objects that are not assigned to the keep and recycle buffer pools.

Those are big time latches that people compete for frequently What all this means is that as we increase the number of users attempting to hard parse statements simultaneously, our performance gets progressively worse.

As was mentioned earlier, you can have multiple block sizes for your database. You have to choose a standard block size first, and then you can choose up to four other nonstandard cache sizes. The DB_BLOCK_SIZE parameter in your initialization parameter file determines your standard block size in the database and frequently is the only block size for the entire database. The DB_CACHE_SIZE parameter in your initialization parameter file specifies the size (in bytes) of the cache of the standard block sized buffers. Notice that you don t set the number of database buffers; rather, you specify the size of the buffer cache itself in the DB_CACHE_SIZE parameter.

The square boxes represent database blocks We now have the value 10 factored out and stored once Then, all of the data from all of the tables in the cluster for department 10 is stored in that block If all of the data for department 10 does not fit on the block, then additional blocks will be chained to the original block to contain the overflow, in the same fashion as the overflow blocks for an IOT..

Table created. ops$tkyte%ORA11GR2> ops$tkyte%ORA11GR2> select segment_name, segment_type 2 from user_segments; SEGMENT_NAME -----------------------------T SYS_IL0000093076C00002$$ SYS_IL0000093076C00003$$ SYS_C0019048 SYS_LOB0000093076C00002$$ SYS_LOB0000093076C00003$$ 6 rows selected. SEGMENT_TYPE -----------------TABLE LOBINDEX LOBINDEX INDEX LOBSEGMENT LOBSEGMENT

You can have up to five different database block sizes in your databases That is, you can create your tablespaces with any one of the five allowable database block sizes Although most databases use only a single standard block size (such as 4KB, 8KB, or 16KB), you can choose to use some or all of the four nonstandard block sizes as well For example, you may have some data warehouse type tables that will benefit from a high database block size, such as 32KB However, most of the other tables in the database may serve online processing needs, and should use the standard block size of 4KB If you happen to be using all four of the allowable nonstandard block sizes besides the standard block size buffers, you can create tablespaces with all five block sizes.

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