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So, the entire goal of automatic PGA memory management is to maximize the use of RAM while at the same time not using more RAM than you want. Under manual memory management, this was virtually an impossible goal to achieve. If you set SORT_AREA_SIZE to 10MB, when one user was performing a sort operation that user would use up to 10MB for the sort work area. If 100 users were doing the same, they would use up to 1000MB of memory. If you had 500MB of free memory, the single user performing a sort by himself could have used much more memory, and the 100 users should have used much less. That is what automatic PGA memory management was designed to do. Under a light workload, memory usage could be maximized as the load increases on the system, and as more users perform sort or hash operations, the amount of memory allocated to them would decrease to obtain the goal of using all available RAM, but not attempting to use more than physically exists.

An interesting feature of aliases is that they survive round-tripping (assembling and disassembling). If you compile Simple3.il and then disassemble the resulting file Simple3.exe, you will see the aliases TTY and PrintLine all present and accounted for. This is because the ILAsm compiler stores all aliases in the metadata of the emitted module, and the disassembler looks for the aliases and uses them. You might also notice that I got rid of the .namespace directive and declared the class Odd.Or.Even by its full name. This is another feature of ILAsm 2.0 that, in my opinion, makes the programmer s life easier, because this way the classes are defined and referenced uniformly. Besides, using the .namespace directive led to interesting questions such as, If I define a global method Z within namespace X.Y, should I refer to this method as X.Y::Z (The answer is no, you refer to it as Z; namespaces are for the classes only.) This does not mean, of course, that ILAsm 2.0 does not understand the .namespace directive. ILAsm 2.0 is fully backward compatible, which means it can compile the sources the previous versions could compile.

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Questions that come up frequently are How is this memory allocated and What will be the amount of RAM used by my session These are hard questions to answer for the simple reason that the algorithms for serving out memory under the automatic scheme are not documented and can and will change from release to release. When using things that begin with A for automatic you lose a degree of control, as the underlying algorithms decide what to do and how to control things.

172.16.5.1 node1 node1.newdomain.com alias1.somedomain.com 172.16.5.2 node2 node2.somedomain.com alias2.somedomain.com 172.16.5.4 node3 node3.somedomain.com alias3.somedomain.com

We can make some observations based on some information from MetaLink note 1478061: The PGA_AGGREGATE_TARGET is a goal of an upper limit It is not a value that is pre-allocated when the database is started up You can observe this by setting the PGA_AGGREGATE_ TARGET to a value much higher than the amount of physical memory you have available on your server You will not see any large allocation of memory as a result A serial (nonparallel query) session will use a small percentage of the PGA_AGGREGATE_ TARGET, about 5 percent or less So, if you have set the PGA_AGGREGATE_TARGET to 100MB, you would expect to use no more than about 5MB per work area (eg, the sort or hash work area).

known, IL code verification procedures don t have to be performed. The instance constructor has no parameters. A module owning this attribute can be executed only in full-trust mode. System.ThreadStaticAttribute: This attribute, which can be owned by a field, indicates that the static field is not shared between threads. Instead, the common language runtime creates an individual copy of the static field for each thread. The effect is approximately the same as mapping the static field to the TLS data, but this effect is achieved on the level of the runtime rather than that of the operating system. The runtime-provided TLS is marginally slower but does not introduce the platform dependence.

You may well have multiple work areas in your session for multiple queries, or more than one sort/hash operation in a single query, but each work area will be about 5 percent or less of the PGA_AGGREGATE_TARGET As the workload on you server goes up (more concurrent queries, concurrent users), the amount of PGA memory allocated to your work areas will go down The database will try to keep the sum of all PGA allocations under the threshold set by PGA_AGGREGATE_ TARGET It would be analogous to having a DBA sit at a console all day, setting the SORT_AREA_SIZE and HASH_AREA_SIZE parameters based on the amount of work being performed in the database We will directly observe this behavior shortly in a test A parallel query may use up to 30 percent of the PGA_AGGREGATE_TARGET, with each parallel process getting its slice of that 30 percent.

Here we replace all instances of the somedomain string with newdomain on all the lines where the IP address 172.16.5.2 is found: ed Command

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