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Read only The data is read but not written Because it is not modified, access to these values does not need to be protected On some distributed memory systems, it is worthwhile to replicate the read only data so each unit of execution has its own copy Effectively local The data is partitioned into subsets, each of which is accessed (for read or write) by only one of the tasks (An example of this would be an array shared among tasks in such a way that its elements are effectively partitioned into sets of task local data) This case provides some options for handling the dependencies If the subsets can be accessed independently (as would normally be the case with, say, array elements, but not necessarily with list elements), then it is not necessary to worry about protecting access to this data On distributed memory systems, such data would usually be distributed among UEs, with each UE having only the data needed by its tasks If necessary, the data can be recombined into a single data structure at the end of the computation Read write The data is both read and written and is accessed by more than one task This is the general case, and includes arbitrarily complicated situations in which data is read from and written to by any number of tasks It is the most difficult to deal with, because any access to the data (read or write) must be protected with some type of exclusive access mechanism (locks, semaphores, etc), which can be very expensive Accumulate The data is being used to accumulate a result (for example, when computing a reduction) For each location in the shared data, the values are updated by multiple tasks, with the update taking place through some sort of associative accumulation operation The most common accumulation operations are sum, minimum, and maximum, but any associative operation on pairs of operands can be used For such data, each task (or, usually, each UE) has a separate copy; the accumulations occur into these local copies, which are then accumulated into a single global copy as a final step at the end of the accumulation Multiple read/single write The data is read by multiple tasks (all of which need its initial value), but modified by only one task (which can read and write its value arbitrarily often) Such variables occur frequently in algorithms based on data decompositions For data of this type, at least two copies are needed, one to preserve the initial value and one to be used by the.

The error you will most commonly see when learning to use the Select syntax is the last one, InvalidQueryExpression It is triggered for all types of mistakes you can make using SQL syntax constructs, which are not valid in SimpleDB queries

The first, and most simple, example of InetAddress is to find out the IP address of the current machine If a direct connection to the Internet exists, a meaningful result will be obtained, but

Two special cases of read write data are common enough to deserve special mention:

This code prints out a single page of select results in Java:

dial-up users and those without any Internet connection (such as in an intranet environment) may get the loopback address of 127001 The short example program given below shows how it is possible to determine the address Code for LocalHostDemo

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modifying task; the copy containing the initial value can be discarded when no longer needed On distributed memory systems, typically a copy is created for each task needing access (read or write) to the data Examples

import javanet*; // 3, Listing 1 public class LocalHostDemo { public static void main(String args[]) { Systemoutprintln ("Looking up local host"); try { // Get the local host InetAddress localAddress = InetAddressgetLocalHost(); Systemoutprintln ("IP address : " + localAddressgetHostAddress() ); } catch (UnknownHostException uhe) { Systemoutprintln ("Error - unable to resolve localhost"); } } }

SimpleDB simpleDB = new SimpleDB(accessKeyID, secretAccessKey); try { Domain domain = simpleDBgetDomain("users"); printSelectResults(domainselectItems("SELECT * FROM users", null)); } catch (SDBException e) {

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How LocalHostDemo Works The LocalHostDemo application starts by prompting the user that an IP address lookup will be performed (this is important if there is any delay in determining the IP address) The networking operation must be enclosed within a try/catch block, because it is possible that no IP address will be found and an exception will be thrown Using the static method InetAddressgetLocalHost(), we obtain an object representing an IP address To display the address in dotted decimal notation, the InetAddressgetHostAddress() method is used Running LocalHostDemo This application requires no command-line parameters Running it will display information about the host machine To run, type:

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