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Figure 12-11. The class diagram of the connection Coordinator team The five Worker classes on the right side are all independent of each other. When a worker needs to send information back to the Coordinator, events are used. Listing 12-5 and Listing 12-6 show C# and VB .NET implementations of the Coordinator. Listing 12-5. The C# Implementation of CoordinatorConnection public class CoordinatorConnection { RequestQueue blockedRequests; // Receiver receiver; // Connection connection; // TimeSpan rxTimeout; // Thread receiverThread; //

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To reduce response time, all the sorts that are performed in the PGA should be performed completely in the cache of the work area this is known as an optimal mode operation, since all work is done in memory, with no disk I/O whatsoever. If the sort operation spills onto the disk because the memory areas aren t adequate, that will slow down the sort operation. A SQL operation that is forced to use the disk area in a limited fashion is a single-pass operation, and it leads to slower performance than when the operation executes entirely in the memory cache. However, if your runtime memory area is too small relative to the sort operation, Oracle will have to conduct multiple passes over the data being sorted, which is very disk intensive, and will result in extremely slow response times for the user. Thus, there is a direct correlation between the PGA size and query performance.

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Many Oracle manuals suggest that you can allocate up to half of the total system memory for the Oracle SGA. This guideline assumes that the PGA memory will be fairly small. However, if the number of users is very large and the queries are complex, your PGA component may end up being even larger than the SGA. You should estimate the total memory requirements by projecting both SGA and PGA needs.

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You can tune the size of these private work areas, but this is a hit-or-miss approach that involves weighing a number of complex Oracle configuration parameters related to the work areas. The parameters that you need to manually configure include the SORT_AREA_SIZE, HASH_AREA_SIZE, and BITMAP_AREA_SIZE parameters. The sum of all the PGA memory used by all sessions makes up the PGA used by the instance. Oracle recommends that you use automatic PGA management, which automates the allocation of PGA memory. This helps you use the memory allocated to your database more efficiently. The feature performs especially well when you have varying workloads, because it dynamically adjusts its available memory bounds and the work profiles on a continuous basis. Manual management of PGA could easily lead to either too little or too much memory being allocated, which causes severe performance problems. You automate PGA memory allocation by ensuring that the WORKAREA_SIZE_POLICY initialization parameter is set to its default value of auto. If you set the parameter value to manual, you ll have to specify all the PGA work area related parameters mentioned previously. The WORKAREA_SIZE_POLICY parameter ensures the automation of PGA memory. However, you must also set the size of the total PGA memory allocation by specifying a value for the PGA_AGGREGATE_TARGET initialization parameter. For example, if you set PGA_AGGREGATE_TARGET=5000000000 in your initialization parameter file, Oracle

a queue of blocked send threads listens for incoming traffic sends requests and handles responses time to wait for a response background receiver thread

uses the 5GB PGA allocation as a global target for the instance. Oracle will try to keep the total PGA memory used by all server processes attached to the instance under this target value. If you don t set a value for the PGA_AGGREGATE_TARGET parameter, you ll be using the manual mode to manage the work areas. Alternatively, you can activate the manual mode by setting the WORKAREA_SIZE_POLICY parameter to manual. Oracle strongly recommends using automatic PGA management because it enables much more efficient use of memory. For users, this means better throughput and faster response time for queries in general.

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