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Note When using Automatic Memory Management or Automatic Shared Memory Management, a large pool will be configured, and the Parallel Execution Message Buffers will be stored in that pool, regardless of whether you have explicitly set the large_pool parameter. The Parallel Execution Message Buffers will be store in the shared pool only if you meet this pair of conditions: first, you must have disabled automatic memory configuration; and second, you must not have set the large_pool parameter.

That s enough theory for now. It s time to do some coding and see how these objects work together in practice!



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ze=20;Self Tuning=false;

In any case, it is good practice to set the large_pool parameter, even if you re using automatic memory features to specify a minimum large pool requirement that Oracle can adjust upwards according to its current requirements. The parallel_execution_message_size parameter determines the size of the buffers that constitute the Parallel Execution message pool, and this is the memory used for communication between the Parallel Execution Servers. In releases prior to Database 11g Release 2, the default value was 2148 bytes (or 2k). Consequently, it was typically reported that increasing the value of parallel_execution_message_size was beneficial. However, beginning with Oracle Database 11g Release 2, the default value of 16384 is usually sufficient, and increasing the amount to a value such as 32768 will result in more memory consumed from the large pool. Therefore, you should conduct tests to determine whether increasing the size is beneficial in a particular environment.





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The dataset constructor is overloaded:

By default, the parallel_adaptive_multi_user parameter is set to TRUE. This parameter enables the rationing of available Parallel Execution Servers between multiple users executing Parallel Queries on

Tip Self-tuning is a feature of the Oracle database (enabled by default) that can dynamically adjust the statement cache size on its own to improve application performance. When it is enabled, the automatically determined statement cache size will overwrite any other statement cache size setting. For this reason, you must set it to false if you want to define a fixed statement cache size of your own.

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the system When a Parallel Query is issued, the Parallel Execution Servers will be assigned according to the requested Degree of Parallelism and the number of available Parallel Execution Servers not already in use However, if multiple users are executing Parallel Queries and insufficient Parallel Execution Servers are available, then the parallel operation will be downgraded and run with a reduced Degree of Parallelism This will occur whether parallel_adaptive_multi_user is set or not Once a Degree of Parallelism is set for a particular query, it will not be downgraded while the query is running If no Parallel Execution Servers are available, then a query will run serially or throw an error, according to the setting of parallel_min_percent, which will be discussed later in this section.

DataSet ds = new DataSet(); DataSet ds = new DataSet("MyDataSet");

This approach has the disadvantage that one or two queries may utilize all of the available Parallel Execution resources on the system, while the rest fail or run serially Therefore, enabling parallel_adaptive_multi_user enables the system to downgrade a requested Degree of Parallelism This downgrade is done according to an algorithm based upon the settings of the cpu_count parameter, which is multiplied by the parallel_threads_per_cpu to obtain a default Degree of Parallelism Next, a reduction factor is applied according to predicted system load This value is based on the number of active users on the system at the time that the query was started This algorithm enables the Degree of Parallelism to be throttled below the requested amount, while the Parallel Execution Servers remain available for additional users Over time, the algorithm is designed to provide an even distribution of resources.

You can also control the statement cache programmatically through ODP.NET. For example, you might have enabled statement caching on a connection instance but do not wish to cache a particular statement (maybe because it is rarely called, and you prefer not to have it take up any cache slots). You can tell ODP.NET whether to add a statement to the cache or not by setting the OracleCommand.AddToStatementCache property to either true or false, in the fashion shown here:

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