Book Image

Mastering Linux Shell Scripting

By : Andrew Mallett
Book Image

Mastering Linux Shell Scripting

By: Andrew Mallett

Overview of this book

Shell scripting is a quick method to prototype a complex application or a problem by automating tasks when working on Linux-based systems. Using both simple one-line commands and command sequences complex problems can be solved with ease, from text processing to backing up sysadmin tools. In this book, you’ll discover everything you need to know to master shell scripting and make informed choices about the elements you employ. Get to grips with the fundamentals of creating and running a script in normal mode, and in debug mode. Learn about various conditional statements' code snippets, and realize the power of repetition and loops in your shell script. Implement functions and edit files using the Stream Editor, script in Perl, program in Python – as well as complete coverage of other scripting languages to ensure you can choose the best tool for your project.
Table of Contents (21 chapters)
Mastering Linux Shell Scripting
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Chapter 12. A Better lastlog with Awk

We have already seen in Chapter 11, Summarizing Logs with Awk, how we can create complex reports from large amounts of data mined from purely text files. Similarly, we can create extensive reports using the output from standard command-line tools, such as the lastlog tool. In itself lastlog can report the last login time for all users. Often though, we may wish to filter the output from lastlog. Perhaps you need to exclude the user accounts that have never been used to login to the system. It may also be irrelevant to report on root, as the account may be predominately used for sudo only and not used to record regularly for standard logins.

In working through this chapter, we will work both with lastlog and formatting of XML data. As this is the last chapter in which we investigate awk, we will configure record separators. We have already seen the use of field separators in awk but we can change the default record separator from a newline to something...