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ops$tkyte@ORA10G> show parameter db_cache_size NAME TYPE VALUE ------------------------------------ ----------- -----------------------------db_cache_size big integer 1G ops$tkyte@ORA10G> alter system set db_cache_size = 768m; System altered ops$tkyte@ORA10G> alter system set db_16k_cache_size = 256m; System altered ops$tkyte@ORA10G> create tablespace ts_16k 2 datafile size 5m 3 blocksize 16k; Tablespace created So, now I have another buffer cache set up: one to cache any blocks that are 16KB in size The Default pool, controlled by the db_cache_size parameter, is 768MB in size and the 16KB cache, controlled by the db_16k_cache_size parameter, is 256MB in size These two caches are mutually exclusive; if one fills up, it cannot use space in the other This gives the DBA a very fine degree of control over memory use, but it comes at a price A price of complexity and management.

Event Handler Thread Create() Run Handler()

Remember, the coarser the locking granularity, the more serializable the transactions, and thus the fewer the concurrency anomalies. The flip side of this is that the coarser the granularity level, the lower the concurrency level. Oracle locks don t prevent other users from reading a table s data, and queries never place locks on tables.

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These multiple blocksizes were not intended as a performance or tuning feature, but rather came about in support of transportable tablespaces the ability to take formatted data files from one database and transport or attach them to another database They were implemented in order to take data files from a transactional system that was using an 8KB blocksize and transport that information to a data warehouse using a 16KB or 32KB blocksize The multiple blocksizes do serve a good purpose, however, in testing theories If you want to see how your database would operate with a different blocksize how much space, for example, a certain table would consume if you used a 4KB block instead of an 8KB block you can now test that easily without having to create an entirely new database instance.

All locks acquired by statements in a transaction are held by Oracle until the transaction completes. When an explicit or implicit COMMIT or ROLLBACK is issued by a transaction, Oracle releases any locks that the statements within the transaction have been holding. If Oracle rolls back to a save point, it releases any locks acquired after the save point.

Figure 8-29. Using an adapter to fire an event asynchronously With the adapter, both the event source and target remain unchanged. Note the asynchronous call between the event source and the adapter. The event source immediately gets control back from the adapter after firing an event. The adapter internally spawns a secondary thread and runs the event target call on it with a synchronous call. If the event target makes calls back to the event source, either directly or indirectly, there may be problems if the event source isn t prepared to handle reentrant calls. While adapters make it possible to fire events without blocking the event source, they can potentially introduce problems related to reentrancy or concurrency, which aren t always easy to troubleshoot.

Locks, as you have seen, prevent destructive interaction between transactions by allowing orderly access to resources. These resources could be database objects such as tables, or other shared database structures in memory. Oracle locks can be broadly divided into the following types, according to the type of object that is locked: DML locks, DDL locks, latches, internal locks, and distributed locks. These lock types are described in the following sections.

You may also be able to use multiple blocksizes as a very finely focused tuning tool for a specific set of segments, by giving them their own private buffer pools Or, in a hybrid system with transactional users, you could use one set of data and reporting/warehouse users could query a separate set of data The transactional data would benefit from the smaller blocksizes due to less contention on the blocks (less data/rows per block means less people in general would go after the same block at the same time) as well as better buffer cache utilization (users read into the cache only the data they are interested in the single row or small set of rows).

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