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Special shell features enable you to gather data input and direct data output between commands and the Linux file system. To save on typing, you can find, edit, and repeat commands from your shell history. Many power users hardly touch a graphical interface, doing most of their work from a shell. You can gather commands into a file using programming constructs such as loops and case statements to quickly do complex operations that would be difficult to retype over and over. Programs consisting of commands that are stored and run from a file are referred to as shell scripts. Most Linux system administrators use shell scripts to automate tasks such as backing up data, monitoring log files, or checking system health. (See 28 for information on shell scripts.) The shell is a command language interpreter. If you have used Microsoft operating systems, you ll see that using a shell in Linux is similar to but generally much more powerful than the interpreter used to run commands in DOS. You can happily use Linux from a graphical desktop interface, but as you grow into Linux you will surely need to use the shell at some point to track down a problem or administer some features. How to use the shell isn t obvious at first, but with the right help you can quickly learn many of the most important shell features. This chapter is your guide to working with the Linux system commands, processes, and file system from the shell. It describes the shell environment and helps you tailor it to your needs. It also explains how to use and move around the file system.

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BusinessEntityID ---------------270 263 1 ManagerID ----------263 1 NULL Lv ----------1 2 3

To validate the model, the pH and concentration profiles for all species are calculated in Ref. [70], using the same parameters and conditions as those from Ref. [100]. The concentration profiles clearly demonstrate the rapid depletion of SO2 near the gas liquid interface, and agree with the existence of two reaction planes suggested elsewhere [100]. The predictions of the analytical model [100] and the calculations performed in Ref. [70] using the rate-based model described above are compared with experimental data in Fig. 9.23. It can be seen that the theoretical results obtained with both

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SQL Server is a multi-threaded application, meaning that it can execute on multiple processors concurrently for increased performance. Multi-threaded applications also allow more ef cient use of a single processor, because this allows another task to execute while a task waits for a process that doesn t use the CPU to nish. The threads are designed as follows: A thread for each network connection A thread to handle database checkpoints Multiple threads to handle user requests. When SQL Server is handling a small number of connections, a single thread is assigned to each connection. However, as the number of connections grows, a pool of threads handles the connections more ef ciently.

$ smbclient -L localhost Password: ********** Domain=[ESTREET] OS=[Unix] Server=[Samba 3.0.3-4] Sharename Type Comment -----------------homes Disk Home Directories IPC$ IPC IPC Service (Samba Server) ADMIN$ Disk IPC Service (Samba Server) hp-ns1 Printer Domain=[ESTREET] OS=[Unix] Server=[Samba 3.0.8-4] Server --------PINE MAPLE NS1 Workgroup --------ESTREET Comment ------Samba Server Windows XP Samba Server Master ------PINE

the words is calculated, and, if the words are close enough (within about 30 words, depending on the size of the text), then full-text search returns a true for the row. The story of Androcles, the slave who pulls the thorn from the lion s paw, is one of the longer fables in the sample database, so it s a good test sample. The following query attempts to locate the fable Androcles based on the proximity of the words pardoned and forest in the fable s text:

The optical conductance of an interferometer is therefore given by: (3.1-39)

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