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The data dictionary cache component of the shared pool primarily contains object definitions, usernames, roles, privileges, and other such information. When you run a segment of SQL code, Oracle first has to ascertain whether you have the privileges to perform the planned operation. It checks the data dictionary cache to see whether the pertinent information is there, and if not, Oracle has to read the information from the data dictionary into the data dictionary cache. Obviously, the more often you find the necessary information in the cache, the shorter the processing time. In general, a data dictionary cache miss, which occurs when Oracle doesn t find the information it needs in the cache, tends to be more expensive than a library cache miss. There is no direct way to adjust the data dictionary cache size. You can only increase or decrease the entire shared pool size. Therefore, the solution to a low data dictionary cache hit ratio or a low library cache hit ratio is the same: increase the shared pool size.
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CHAPTER 5 ORAC LE DATABA SE 1 1G AR CHITECTURE
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Tip A cache miss on either the data dictionary cache or the library cache component of the shared pool has more impact on database performance than a miss on the buffer pool cache. For example, a decrease in the data dictionary cache hit ratio from 99 percent to 89 percent leads to a much more substantial deterioration in performance than a similar drop in the buffer cache hit ratio.
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In Oracle Database 11g, there is a brand new component of the SGA called the result cache. The result cache is an area of the SGA where the database stores the results of both SQL queries and PL/SQL functions, so long as you enable these caches. You can cache the results of queries and query fragments in memory in the SQL query result cache. When the database executes the same SQL query again, it can simply retrieve the results from the result cache instead of reexecuting the query, thus enhancing performance significantly. PL/SQL function result caching works very similarly to the SQL query result cache. When a cached function is reexecuted, the database doesn t execute the function body, merely returning the cached result immediately instead. You use the RESULT_CACHE_MODE initialization parameter to control whether the database caches a SQL query or a PL/SQL function s results. You can also utilize the new result cache hint to override the settings of the RESULT_CACHE_MODE parameter. You manage both caches through the PL/SQL package DBMS_RESULT_CACHE or through the Enterprise Manager. 20 discusses the SQL query result cache and the PL/SQL function result cache.
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The Redo Log Buffer
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The redo log buffer, usually less than a couple of megabytes in size, and thus nowhere near the size of the database buffer cache and the shared pool cache, is nonetheless a crucial component of the SGA. When a server process changes data in the data buffer cache (via an insert, a delete, or an update), it generates redo data, which is recorded in the redo log buffer. The log writer process writes redo information from the redo log buffer in memory to the redo log files on disk. You use the LOG_BUFFER initialization parameter to set the size of the redo log buffer, and it stays fixed for the duration of the instance. That is, you can t adjust the redo log buffer size dynamically, unlike the other components of the SGA. The log writer process writes the contents of the redo log buffer to disk under any of the following circumstances: The redo log buffer is one-third full. Users commit a transaction. The database buffer cache is running low on free space and needs to write changed data to the redo log. The database writer instructs the log writer process to flush the log buffer s contents to disk to make room for the new data. The redo log buffer is a circular buffer the log writer process writes the redo entries from the redo log buffer to the redo log files, and server processes write new redo log entries over the entries that have been written to the redo log files. The database allocates a small amount of memory, such as 5MB or so, for the redo log buffer. In most cases, you can leave the size of this buffer at its default value allocated by the database. Large redo log buffers will reduce your log file I/O (especially if you have large or many transactions), but your commits will take longer as well. The log writer process usually writes to the redo log files very quickly, even when its workload is quite heavy. You ll run into more problems if your redo log buffer size is too small than if it is too large. A redo log buffer that is too small will keep the log writer process excessively busy it will be
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