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Protocol and Packets When people began to connect their computers into ARPAnet, the need became clear for a universal set of standards, called a protocol, to ensure that all the machines speak the same language The modern Internet is such that you can use any computer to take advantage of all the network s resources Internet activity consists of computers talking to one another This occurs in machine language However, the situation is vastly more complicated than when data goes from one place to another within a single computer In the Internet (often called simply the Net), data must often go through several different computers to get from the transmitting or source computer to the receiving or destination computer These intermediate computers are called nodes, servers, hosts, or Internet service providers (ISPs) Millions of people are simultaneously using the Net The most efficient route between a given source and destination can change from moment to moment The Net is set up in such a way that signals always try to follow the most efficient route If you are connected to a distant computer, say a machine at the National Hurricane Center, the requests you make of it, and the data it sends back to you, are broken into small units called packets Each packet coming to you has, in effect, your computer s name written on it But not all packets necessarily travel the same route through the network Ultimately, all the packets are reassembled into the data you want (such as the infrared satellite image of a hurricane), even though they do not arrive in the same order they were sent Figure 33-4 is a simplified drawing of Internet data transfer for a hypothetical file containing five packets transferred during a period of heavy Net traffic (meaning that a lot of people are using the Internet at that particular time, so it is operating at near capacity) Nodes are shown as black dots surrounded by circles In this example, some packets pass through more nodes, and/or over a much greater physical distance, than others If Net traffic were light, all the packets might follow the same route, or pass through fewer nodes This is why it takes longer to acquire data on the Net during peak hours of use, as compared with times when there are comparatively few people connected.

on removing folder items from ScriptFolder after losing Removed_files tell application "Finder" set myFolderName to name of ScriptFolder end tell set GoneFiles to "" repeat with myCounter from 1 to number of items in Removed_files set RemovedFile to item myCounter of Removed_files set RemovedFileInfo to the info for RemovedFile set GoneFiles to GoneFiles & name of RemovedFileInfo & return end repeat display alert "Files removed from " & ScriptFolder as warning message GoneFiles end removing folder items from

At this point, you should have a magical overlay showing the SQL Server Profiler event data in the top pane and the Windows PerfMon resource consumption data in the middle pane as shown in figure 3. And because the data for both PerfMon and Profiler are correlated, if you click on a Profiler entry on the top pane, the red marker bar in the

Summary

Figure 11-4 Using a removing folder items folder action to warn the user when files or folders are removed from a key folder

into it, no matter how fast your connection happens to be A file cannot be completely reconstructed until all the packets have arrived and the destination computer has ensured that there are no errors

PerfMon window jumps to the point in time for that Profiler entry. Conversely, if you click on a particular point on the PerfMon chart (say, just before disk I/O activity begins to crest upwards), the Profiler event in the top pane is highlighted. Finally, the exact SQL or T-SQL statement issued by that Profiler event is shown in the bottom pane. This three-part correlation of data provides a powerful means of monitoring performance and troubleshooting problems: the middle-pane graph of PerfMon-derived resource consumption enables you to see one (or more) bottlenecks; the top-pane table of Profiler-derived events enables you to see the exact batch (or batches) that precipitated the bottleneck; and the bottom pane shows you the exact SQL or T-SQL code that needs to be examined, tuned, or replaced.

Summary

To take actions when the user moves or resizes the folder s window, use the moving folder window for event handler

E-mail and Newsgroups For many computer users, communication by means of electronic mail (e-mail ) and/or newsgroups has practically replaced the postal service You can leave messages for, and receive them from, friends and relatives scattered throughout the world To effectively use e-mail or newsgroups, everyone must have an Internet address These tend to be arcane An example is sciencewriter@tahoecom The first part of the address, before the @ symbol, is the username The word after the @ sign and before the period (or dot) represents the domain

Although Microsoft has continued to implement new and innovative means of troubleshooting problems and monitoring performance, only SQL Profiler and Windows Performance Monitor are available on every version of SQL Server since SQL Server 7.0. To get the maximum value from the two tools, be sure to follow the simple best practices, such as monitoring a problem SQL Server from a different workstation. When you ve collected logs from both PerfMon and Profiler, you can load both log files into SQL Profiler where you can review the correlated information from both

The moving folder window for event handler does not work consistently; because of this, you ll do best to avoid it First, the event handler tends to run only when the toolbar on the target window is hidden, even though this should make no difference Second, if you use the folder action script to resize or reposition the window, the script runs again, repositions the window, and runs again and so on until you crash it

data sets. Application performance in a Microsoft SQL Server environment is directly related to the efficiency of the SQL statements involved. By reviewing the bottlenecks in SQL Server resources as revealed by PerfMon, and correlating those bottlenecks with Profiler data, you can see exactly which SQL statements have hindered performance. Such statements are obvious tuning targets.