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While storing information in datagram packets is certainly not beyond the reach of programmers, it doesn't lead to the most efficient way of communication between computers There's added complexity, and it can be argued that the task of designing and creating software within a deadline provides complexity enough for programmers Developers typically welcome anything that can reduce the complexity of software development, and the TCP does just this TCP allows the programmer to think in a completely different way, one that is much more streamlined Rather than being packaged into discrete units (datagram packets), the data is instead treated as a continuous stream, like the I/O streams the reader is by now familiar with TCP sockets continue the tradition of Unix programming, in which communication is treated in the same way as file input and output The mechanism is the same whether the developer is writing to a network socket, a communications pipe, a data structure, the user console, or a file This also applies, of course, to reading information This makes communicating via TCP sockets far simpler than communicating via datagram packets

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Timestamp Logging each request time with a precision down to the millisecond enables you to establish a definitive request order If you do not need a high level of detail, consider using a less-granular timestamp Application If you have multiple applications aggregated into a single report, or if your SimpleDB access is from a web service with more than one client application, this field is useful Action The SimpleDB API call being made is important information It gives you the ability to pick out the Select calls for analysis Domain If request levels to or response times from a certain domain are higher, you want to know about it Select query This is only included for Select calls Knowing the exact query turns out to be very useful for performance analysis Including the entire raw query is a good first step However, an even better format for the Select statement is in a prepared statement format with the parameters at the endThis lets you see overall numbers for queries that differ only on parameter value, while preserving the ability to drill down into detail Bytes transmitted This is useful for self-monitoring bandwidth usage, as well as identifying BatchPutAttributes calls near the size limit

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It is clear that there are significant differences between TCP and UDP, but there is also an important similarity between these two protocols Both share the concept of a communications port, which distinguishes one application from another Many services and clients run on the same port, and it would be impossible to sort out which one was which without distributing them by port number When a TCP socket establishes a connection to another machine, it requires two very important pieces of information to connect to the remote end the IP address of the machine and the port number In addition, a local IP address and port number will be bound to it, so that the remote machine can identify which application established the connection (as illustrated in Figure 6-3) After all, you wouldn't want your e-mail to be accessible by another user running software on the same system Figure 6-3 Local ports identify the application establishing a connection from other programs, allowing multiple TCP applications to run on the same machine

abstract class LinearPipeline { PipelineStage[] stages; BlockingQueue[] queues; int numStages; CountDownLatch s; //override method to create desired array of pipeline stage objects abstract PipelineStage[] getPipelineStages(String[] args); //override method to create desired array of BlockingQueues //element i of returned array contains queue between stages i and i+1 abstract BlockingQueue[] getQueues(String[] args); LinearPipeline(String[] args) { stages = getPipelineStages(args); queues = getQueues(args); numStages = stageslength; s = new CountDownLatch(numStages); BlockingQueue in = null; BlockingQueue out = queues[0]; for (int i = 0; i != numStages; i++) { stages[i]init(in,out,s); in = out; if (i < numStages-2) out = queues[i+1]; else out = null; } } public void start() { for (int i = 0; i != numStages; i++) { new Thread(stages[i])start(); } }

Bytes received This field allows for correlation between response size and response time It also lets you self-monitor bandwidth and identify Select responses being paged at the 1MB limit HTTP response code The magnitude of the HTTP response code indicates the general class of responseThe 200s mean success, the 400s indicate a client error, and the 500s indicate a server error Of particular interest are the HTTP 503 throttling response rates Box usage This is good for query performance analysis and for self-monitoring account charges Request id This lets you correlate errors on your end with the SimpleDB logging that AWS support people are able to view Actual response time This is the time in milliseconds between when the last request byte is written to when the last response byte is readThe more accurately you can collect this number, the better

Ports in TCP are just like ports in UDP they are represented by a number in the range 1 65535 Ports below 1024 are restricted to use by well-known services such as HTTP, FTP, SMTP, POP3, and telnet Table 6-1 lists a few of the well-known services and their associated port numbers

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