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The first thing to understand is that even though the SimpleDB consistency guarantee is relaxed compared to relational databases, there is still atomicity and durabilityThe unit of atomicity is the itemWhen you update the attributes of an item via a single PutAttributes request, the entire update is applied atomically It may take some time before the update is fully visible to clients attempting to retrieve that item via a call to GetAttributes or SelectThis is the same type of delay you might see with a masterslave relational database cluster, where the slave database services queries, even though it is always slightly out of sync with the master that accepts all the writesThe time it takes to replicate in SimpleDB is called the consistency window Regardless of the consistency window, SimpleDB always presents an internally consistent view of the itemThe item will have the prior state of the attributes or the new state of the attributes; it will never have a mixed state, where some of the new attribute values have been applied and some have notThis is atomicity at the item level At a higher level of granularity, this does not hold If you issue a batch put and update two items at once, subsequent reads of that data could result in one of the items being updated but not the other But, again, within each item, partial updates will never be shown Given how lean the SimpleDB API is, BatchPutAttributes is the only higher level of granularityThere are no transactions and so no opportunity for dirty reads or any isolation levels It could be said that if an application requires transactions, SimpleDB will not be the right choice of database, and this might be true But if the real application requirement is for atomicity rather than strictly transactions, placing all the necessary data inside one item can accomplish thatThis can serve as a workaround for the lack of transactions: Place the data that must change atomically within a single item and update it using a single call to PutAttributes using a conditional write In SimpleDB, PutAttributes can be used for all three of initial inserts, updates, and deleting or clearing of values.

To highlight interface evolution, we have made the hypothetical future interface different from the JNIEnv interface in a number of ways The interface need not be thread-local, and thus can be cached in a global variable The JNIEnv2 interface need not be passed as the rst argument to the Java_Foo_f native function The name encoding convention ( 113) of native method implementation functions such as Java_Foo_f need not be changed Virtual machine implementations rely on the return value of the JNI_OnLoad handler to determine the argument passing convention of native method implementation functions in a given native library

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Texture Creation Although a CPU can access system memory, a GPU can typically access only dedicated memory called video memory Sometimes, this memory is physically a separate set of memory chips that often have larger memory bandwidth than system memory However, sometimes this memory is just a specially allocated section of system memory In either case, Silverlight must allocate this memory separately The back buffer created for your control during device creation is in video memory, but any surfaces Silverlight decides to allocate for GPU composition must also be in video memory Silverlight allocates these surfaces during a render tree walk when it encounters cache mode ags If there is insuf cient video memory for the allocation to succeed, Silverlight redraws the entire frame using the software rasterizer and ignores your cache mode ags Consequently, it is important to keep video memory allocation to a minimum to maximize the number of users who can see your content GPU accelerated

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