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loop [i] over atoms on UE //split loop iterations among UEs add_to_list (i, local_atoms) loop [j] over atoms greater than i dist_squ = square(atom(l,i)-atom(i,j)) + square(atom(2,i)-atom(2,j)) + square(atom(3,i)-atom(3,j)) if(dist_squ < (cutoff * cutoff)) add_to_list (j, neighbors(i)) end if end loop [j] end loop [i] end function neighbors

You already know how to handle the NextToken, but if you use this tactic, you can support previous page by storing the breadcrumb trail of next tokens (for example, in the web session) and re-issuing the query with a previous NextToken rather than a subsequent one However, the general case for handling arbitrary pagination in SimpleDB is the same for previous and next In the general case, the user may click on an arbitrary page number, like five, without ever having visited page four or six You handle this in SimpleDB by using the fact that NextToken only requires the WHERE clause and ORDER BY clause to be the same to work properly So, rather than querying through every page in sequence and pulling down all the intervening items, you can usually do it in two steps, as follows: 1 Issue your query with a limit value of where the desired page should start, and SELECT count(*) instead of the actual attributes you want 2 Use the NextToken from step one to fetch the actual page data using the desired attributes and the page size as the LIMIT Listing 6-1 shows a first pass at the pseudocode to implement this

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// 7, Listing 1 public class ExtendThreadDemo extends javalangThread { int threadNumber; public ExtendThreadDemo ( int num ) { // Assign to member variable threadNumber = num; } // Run method is executed when thread first started public void run() { Systemoutprintln ("I am thread number " + threadNumber); try { // Sleep for five thousand milliseconds // (5 secs), to simulate work being done Threadsleep(5000); } catch (InterruptedException ie) {} Systemoutprintln (threadNumber + " is finished!"); } // Main method to create and start threads public static void main(String args[]) { Systemoutprintln ("Creating thread 1"); // Create first thread instance Thread t1 = new ExtendThreadDemo(1); Systemoutprintln ("Creating thread 2"); // Create second thread instance Thread t2 = new ExtendThreadDemo(2);

The logic defining how the parallelism is distributed among the UEs is captured in the single loop in Fig 510:

// Start both threads t1start(); t2start(); } }

int targetPage, pageSize; int jumpLimit = pageSize * (targetPage - 1); String query = "SELECT %1 FROM posts WHERE userid = '000022656' LIMIT %2"; String output = "title, summary, votecount"; Result temp = sdbselect(query, "count(*)", jumpLimit); Result data = sdbselect(query, output, pageSize, tempgetToken());

loop [i] over atoms on UE //split loop iterations among UEs add_to_list (i, local_atoms)

When compiled and run, this example shows the threads being created and the output of each The threads sleep for five seconds, to simulate the occurrence of meaningful work, and then terminate, which has the result of closing the thread Only once all threads are terminated will the main method exit Two important things should be noted from this example First, the run() method was not invoked when the thread was created, only when the thread was started by invoking the start() method Though the difference is subtle, it is nonetheless important You can create threads in advance, and start them only when needed Remember that the thread object only represents a thread threads are in fact provided by the operating system itself When the start() method of a thread is called, it sends a request to launch a separate thread, which will call the run() method NOTE The main application does not call the run() method directly Instead, it calls start() to perform this operation If your application calls run() directly, it won't be running as a separate thread

In this code, %1 and %2 are String substitutions and sdbselect() is a fictitious method that includes the String substitution code along with the SimpleDB call Whether or not you can accomplish this in two calls to SimpleDB (as shown in the code) will depend on the complexity of your WHERE clause and the size of your data set The preceding code is simplified in that the temporary result may have returned a partial count if the query took more than five seconds to runYou would really want to put that line in a loop until the proper count is reachedTo make the code a little more realistic, I have added the loop, placed it within methods, and abandoned the String substitutions The updated code is shown in Listing 6-2

The details of how this loop is split among UEs depends on the programming environment An approach that works well with MPI is the cyclic distribution we used in Fig 55:

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