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This recasting may be difficult to achieve (because it requires looking at the original problem from an unusual perspective) and may lead to a design that is difficult to understand and maintain Whether the concurrency exposed by this pattern can be effectively exploited to improve performance depends on how computationally expensive the operation is and on the cost of communication relative to computation on the target parallel computer system

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Although SimpleDB indexes every value, at the time of this writing, each index is single column onlyAWS has suggested that they may implement multi-column indexes in the future, but not the immediate future In the meantime,AWS suggests a way to simulate a multi-column index with an additional synthetic attributeThis technique is specifically applicable to queries where the main two attributes being searched are in the following configuration: one of them is being tested for equality, the other one is a being tested for a rangeThese types of queries are actually quite common, depending on the type of data you are storingAn example is searching for items with the following:

// process the packet } socketclose();

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Solution The most challenging part of applying this pattern is restructuring the operations over a recursive data structure into a form that exposes additional concurrency General guidelines are difficult to construct, but the key ideas should be clear from the examples provided with this pattern After the concurrency has been exposed, it is not always the case that this concurrency can be effectively exploited to speed up the solution of a problem This depends on a number of factors including how much work is involved as each element of the recursive data structure is updated and on the characteristics of the target parallel computer

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When processing the packet, the application must work directly with an array of bytes If, however, your application is better suited to reading text, you can use classes from the Java I/O package to convert between a byte array and another type of stream or reader By hooking a ByteArrayInputStream to the contents of a datagram and then to another type of InputStream or an InputStreamReader, you can access the contents of UDP packets relatively easily (see Figure 5-4) Many developers prefer to use Java I/O streams to process data, using a DataInputStream or a BufferedReader to access the contents of byte arrays Figure 5-4 Reading from a UDP packet is simplified by applying input streams

userid='001' and viewcount > '00025'

In this pattern, the recursive data structure is completely decomposed into individual elements and each element is assigned to a separate UE Ideally each UE would be assigned to a different PE, but it is also possible to assign multiple UEs to each PE If the number of UEs per PE is too large, however, the overall performance will be poor because there will not be enough concurrency to overcome the increase in the total amount of work For example, consider the root finding problem described earlier We'll ignore overhead in our computations If N = 1024 and t is the time to perform one step for one data element, then the running time of a sequential algorithm will be about 1024t If each UE is assigned its own PE, then the running time of the parallel algorithm will be around (log N)t or 10t If only two PEs are available for the parallel algorithm, however, then all N log N or 10240 computation steps must be performed on the two PEs, and the execution time will be at least 5120t, considerably more than the sequential algorithm

For example, to hook up a DataInputStream to the contents of a DatagramPacket, the following code can be used:

If this query becomes too slow, you can simulate an index that spans both the userid and viewcount columns by creating a synthetic attributeThe synthetic attribute is just a new attribute created programmatically that is a duplication of the two field values concatenated togetherThis value must be set for all items, and it must be kept up to date any time one of the values gets a PutAttributes call In this example, the new attribute might be called `userid-viewcount` and the Select statement to take advantage of it would have this comparison in it:

ByteArrayInputStream bin = new ByteArrayInputStream( packetgetData() ); DataInputStream din = new DataInputStream (bin); // Read the contents of the UDP packet

Typically the result of applying this pattern is an algorithm whose top level structure is a sequential composition in the form of a loop, in which each iteration can be described as "perform this operation simultaneously on all (or selected) elements of the recursive data structure" Typical operations include "replace each element's successor with its successor's successor" (as in the example in the Context section) and "replace a value held at this element with the sum of the current value and the value of the predecessor's element"

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