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[J92] presents some finer grained applications of pipelining, including inserting a sequence of elements into a 2 3 tree and pipelined mergesort Related Patterns This pattern is very similar to the Pipes and Filters pattern of [BMR 96 + ]; the key difference is that this pattern explicitly discusses concurrency For applications in which there are no temporal dependencies between the data inputs, an alternative to this pattern is a design based on multiple sequential pipelines executing in parallel and using the Task Parallelism pattern

TCP sockets can perform a variety of operations They can:

You may want to log more fields or fewer But having these logs can provide a great deal of insight when dealing with a black box service like SimpleDB that offers very little configuration and very little insight as to what is going on

Figure 429 Pipelined sort (main class)

Establish a connection to a remote host Send data to a remote host Receive data from a remote host Close a connection

Summary

In addition, there is a special type of socket that provides a service that will bind to a specific port number This type of socket is normally used only in servers, and can perform the following operations: Table 6-1 Protocols and Their Associated Ports Well-Known Services Service Port Telnet 23 Simple Mail Transfer Protocol 25 HyperText Transfer Protocol 80 Post Office Protocol 3 110

import javauti1concurrent*;

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These two sockets are grouped into different categories, and are used by either a client or a server (since some clients may also be acting as servers, and some servers as clients) However, it is normal practice for the role of client and server to be separate

class SortingPipeline extends LinearPipeline { /*Creates an array of pipeline stages with the number of sorting stages given via args Input and output stages are also included at the beginning and end of the array Details are omitted */ PipelineStage[] getPipelineStages(String[] args) { // return stages; } /* Creates an array of LinkedBlockingQueues to serve as communication channels between the stages For this example, the first is restricted to hold Strings, the rest can hold Comparables */ BlockingQueue[] getQueues(String[] args) { BlockingQueue[] queues = new BlockingQueue[totalStages - 1]; queues[0] = new LinkedBlockingQueue<String>(); for (int i = 1; i!= totalStages -1; i++) { queues[i] = new LinkedBlockingQueue<Comparable>();} return queues; } SortingPipeline(String[] args) { super(args); } public static void main(String[] args) throws InterruptedException { // create pipeline LinearPipeline 1 = new SortingPipeline(args); 1start(); //start threads associated with stages lsawait(); //terminate thread when all stages terminated Systemoutprintln("All threads terminated"); } }

In this chapter, the SimpleDB Select query language has been explained with a level of detail that should empower you to construct your own queries, measure their performance, and take the necessary action to improve them One thing you may have noticed is the discussion on performance largely ignored issues of application design, data sharding, and cachingThis was not an error of omission, but an intentional focus on the base performance of queriesThere are many actions that can be taken at a higher level to improve performance, but after those things have been done, performance still needs to be addressed at the basic levelAddressing that need was part of this chapter Higher-level performance enhancements, for Select and other calls, is the subject of 9, Increasing Performance The next chapter deals with the details of bulk data operations

In network programming (and often in other forms of communication, such as database programming), applications that use sockets are divided into two categories, the client and the server You are probably familiar with the phrase client/server programming, although the exact meaning of the phrase may be unclear to you This paradigm is the subject of the discussion below

At first glance, one might also expect that sequential solutions built using the Chain of Responsibility pattern [GHJV95] could be easily parallelized using the Pipeline pattern In Chain of Responsibility, or COR, an "event" is passed along a chain of objects until one or more of the objects handle the event This pattern is directly supported, for example, in the Java Servlet Specification[1] [SER] to enable filtering of HTTP requests With Servlets, as well as other typical applications of COR, however, the reason for using the pattern is to support modular structuring of a program that will need to handle independent events in different ways depending on the event type It may be that only one object in the chain will even handle the event We expect that in most cases, the Task Parallelism pattern would be more appropriate than the Pipeline pattern Indeed, Servlet container implementations already supporting multithreading to handle independent HTTP requests provide this solution for free

TSimpleDBActually, this really should not be toshortlarge quantities of data be a data out his is a short chapter about the various ways get into and of a chapterThere should

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