The GAWK Manual





by Diane Barlow Close and Richard Stallman

with Paul H. Rubin

and Arnold D. Robbins



Edition 0.1 Beta



March 1989

Copyright © 1989 Free Software Foundation, Inc.



This is Edition 0.1 Beta of The GAWK Manual,
for the 2.02 Beta, 23 December 1988, version
of the GNU implementation of AWK.



Published by the Free Software Foundation
675 Massachusetts Avenue,
Cambridge, MA 02139 USA
Printed copies are available for $10 each.

Permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and this permission notice are preserved on all copies.

Permission is granted to copy and distribute modified versions of this manual under the conditions for verbatim copying, provided that the entire resulting derived work is distributed under the terms of a permission notice identical to this one.

Permission is granted to copy and distribute translations of this manual into another language, under the above conditions for modified versions, except that this permission notice may be stated in a translation approved by the Foundation.


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Preface

If you are like many computer users, you frequently would like to make changes in various text files wherever certain patterns appear, or extract data from parts of certain lines while discarding the rest. To write a program to do this in a language such as C or Pascal is a time–consuming inconvenience that may take many lines of code. The job may be easier with awk.

The awk utility interprets a special–purpose programming language that makes it possible to handle simple data–reformatting jobs easily with just a few lines of code.

The GNU implementation of awk is called gawk; it is fully upward compatible with the System V Release 3.1 and later version of awk. All properly written awk programs should work with gawk. So we usually don’t distinguish between gawk and other awk implementations in this manual.

This manual teaches you what awk does and how you can use awk effectively. You should already be familiar with basic, general–purpose, operating system commands such as ls. Using awk you can:


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History of awk and gawk

The name awk comes from the initials of its designers: Alfred V. Aho, Peter J. Weinberger, and Brian W. Kernighan. The original version of awk was written in 1977. In 1985 a new version made the programming language more powerful, introducing user–defined functions, multiple input streams, and computed regular expressions.

The GNU implementation, gawk, was written in 1986 by Paul Rubin and Jay Fenlason, with advice from Richard Stallman. John Woods contributed parts of the code as well. In 1988, David Trueman, with help from Arnold Robbins, reworked gawk for compatibility with the newer awk.

Many people need to be thanked for their assistance in producing this manual. Jay Fenlason contributed many ideas and sample programs. Richard Mlynarik and Robert Chassell gave helpful comments on drafts of this manual. The paper A Supplemental Document for awk by John W. Pierce of the Chemistry Department at UC San Diego, pinpointed several issues relevant both to awk implementation and to this manual, that would otherwise have escaped us.

Finally, we would like to thank Brian Kernighan of Bell Labs for invaluable assistance during the testing and debugging of gawk, and for help in clarifying several points about the language.


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GNU GENERAL PUBLIC LICENSE

Version 1, February 1989

Copyright © 1989 Free Software Foundation, Inc.
675 Mass Ave, Cambridge, MA 02139, USA

Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.

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Preamble

The license agreements of most software companies try to keep users at the mercy of those companies. By contrast, our General Public License is intended to guarantee your freedom to share and change free software—to make sure the software is free for all its users. The General Public License applies to the Free Software Foundation’s software and to any other program whose authors commit to using it. You can use it for your programs, too.

When we speak of free software, we are referring to freedom, not price. Specifically, the General Public License is designed to make sure that you have the freedom to give away or sell copies of free software, that you receive source code or can get it if you want it, that you can change the software or use pieces of it in new free programs; and that you know you can do these things.

To protect your rights, we need to make restrictions that forbid anyone to deny you these rights or to ask you to surrender the rights. These restrictions translate to certain responsibilities for you if you distribute copies of the software, or if you modify it.

For example, if you distribute copies of a such a program, whether gratis or for a fee, you must give the recipients all the rights that you have. You must make sure that they, too, receive or can get the source code. And you must tell them their rights.

We protect your rights with two steps: (1) copyright the software, and (2) offer you this license which gives you legal permission to copy, distribute and/or modify the software.

Also, for each author’s protection and ours, we want to make certain that everyone understands that there is no warranty for this free software. If the software is modified by someone else and passed on, we want its recipients to know that what they have is not the original, so that any problems introduced by others will not reflect on the original authors’ reputations.

The precise terms and conditions for copying, distribution and modification follow.

  1. This License Agreement applies to any program or other work which contains a notice placed by the copyright holder saying it may be distributed under the terms of this General Public License. The “Program”, below, refers to any such program or work, and a “work based on the Program” means either the Program or any work containing the Program or a portion of it, either verbatim or with modifications. Each licensee is addressed as “you”.
  2. You may copy and distribute verbatim copies of the Program’s source code as you receive it, in any medium, provided that you conspicuously and appropriately publish on each copy an appropriate copyright notice and disclaimer of warranty; keep intact all the notices that refer to this General Public License and to the absence of any warranty; and give any other recipients of the Program a copy of this General Public License along with the Program. You may charge a fee for the physical act of transferring a copy.
  3. You may modify your copy or copies of the Program or any portion of it, and copy and distribute such modifications under the terms of Paragraph 1 above, provided that you also do the following:

    Mere aggregation of another independent work with the Program (or its derivative) on a volume of a storage or distribution medium does not bring the other work under the scope of these terms.

  4. You may copy and distribute the Program (or a portion or derivative of it, under Paragraph 2) in object code or executable form under the terms of Paragraphs 1 and 2 above provided that you also do one of the following:

    Source code for a work means the preferred form of the work for making modifications to it. For an executable file, complete source code means all the source code for all modules it contains; but, as a special exception, it need not include source code for modules which are standard libraries that accompany the operating system on which the executable file runs, or for standard header files or definitions files that accompany that operating system.

  5. You may not copy, modify, sublicense, distribute or transfer the Program except as expressly provided under this General Public License. Any attempt otherwise to copy, modify, sublicense, distribute or transfer the Program is void, and will automatically terminate your rights to use the Program under this License. However, parties who have received copies, or rights to use copies, from you under this General Public License will not have their licenses terminated so long as such parties remain in full compliance.
  6. By copying, distributing or modifying the Program (or any work based on the Program) you indicate your acceptance of this license to do so, and all its terms and conditions.
  7. Each time you redistribute the Program (or any work based on the Program), the recipient automatically receives a license from the original licensor to copy, distribute or modify the Program subject to these terms and conditions. You may not impose any further restrictions on the recipients’ exercise of the rights granted herein.
  8. The Free Software Foundation may publish revised and/or new versions of the General Public License from time to time. Such new versions will be similar in spirit to the present version, but may differ in detail to address new problems or concerns.

    Each version is given a distinguishing version number. If the Program specifies a version number of the license which applies to it and “any later version”, you have the option of following the terms and conditions either of that version or of any later version published by the Free Software Foundation. If the Program does not specify a version number of the license, you may choose any version ever published by the Free Software Foundation.

  9. If you wish to incorporate parts of the Program into other free programs whose distribution conditions are different, write to the author to ask for permission. For software which is copyrighted by the Free Software Foundation, write to the Free Software Foundation; we sometimes make exceptions for this. Our decision will be guided by the two goals of preserving the free status of all derivatives of our free software and of promoting the sharing and reuse of software generally.
  10. BECAUSE THE PROGRAM IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM “AS IS” WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
  11. IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR REDISTRIBUTE THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.

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Appendix: How to Apply These Terms to Your New Programs

If you develop a new program, and you want it to be of the greatest possible use to humanity, the best way to achieve this is to make it free software which everyone can redistribute and change under these terms.

To do so, attach the following notices to the program. It is safest to attach them to the start of each source file to most effectively convey the exclusion of warranty; and each file should have at least the “copyright” line and a pointer to where the full notice is found.

one line to give the program's name and a brief idea of what it does.
Copyright (C) 19yy  name of author

This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 1, or (at your option)
any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.

Also add information on how to contact you by electronic and paper mail.

If the program is interactive, make it output a short notice like this when it starts in an interactive mode:

Gnomovision version 69, Copyright (C) 19yy name of author
Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.

The hypothetical commands ‘show w’ and ‘show c’ should show the appropriate parts of the General Public License. Of course, the commands you use may be called something other than ‘show w’ and ‘show c’; they could even be mouse-clicks or menu items—whatever suits your program.

You should also get your employer (if you work as a programmer) or your school, if any, to sign a “copyright disclaimer” for the program, if necessary. Here a sample; alter the names:

Yoyodyne, Inc., hereby disclaims all copyright interest in the
program `Gnomovision' (a program to direct compilers to make passes
at assemblers) written by James Hacker.

signature of Ty Coon, 1 April 1989
Ty Coon, President of Vice

That’s all there is to it!


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1 Using This Manual

The term gawk refers to a program (a version of awk) developed by the Free Software Foundation, and to the language you use to tell it what to do. When we need to be careful, we call the program “the awk utility” and the language “the awk language”. The purpose of this manual is to explain the awk language and how to run the awk utility.

The term awk program refers to a program written by you in the awk programming language.

See section Getting Started With awk, for the bare essentials you need to know to start using awk.

Useful “one–liners” are included to give you a feel for the awk language (see section Useful “One-liners”).

A sizable sample awk program has been provided for you (see section Sample Program).

If you find terms that you aren’t familiar with, try looking them up in the glossary (see section Glossary).

Most of the time complete awk programs are used as examples, but in some of the more advanced sections, only the part of the awk program that illustrates the concept being described is shown.


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1.1 Input Files for the Examples

This manual contains many sample programs. The data for many of those programs comes from two files. The first file, called ‘BBS-list’, represents a list of computer bulletin board systems and information about those systems.

Each line of this file is one record. Each record contains the name of a computer bulletin board, its phone number, the board’s baud rate, and a code for the number of hours it is operational. An ‘A’ in the last column means the board operates 24 hours all week. A ‘B’ in the last column means the board operates evening and weekend hours, only. A ‘C’ means the board operates only on weekends.

aardvark     555-5553     1200/300          B
alpo-net     555-3412     2400/1200/300     A
barfly       555-7685     1200/300          A
bites        555-1675     2400/1200/300     A
camelot      555-0542     300               C
core         555-2912     1200/300          C
fooey        555-1234     2400/1200/300     B
foot         555-6699     1200/300          B
macfoo       555-6480     1200/300          A
sdace        555-3430     2400/1200/300     A
sabafoo      555-2127     1200/300          C

The second data file, called ‘inventory-shipped’, represents information about shipments during the year. Each line of this file is also one record. Each record contains the month of the year, the number of green crates shipped, the number of red boxes shipped, the number of orange bags shipped, and the number of blue packages shipped, respectively.

Jan  13  25  15 115
Feb  15  32  24 226
Mar  15  24  34 228
Apr  31  52  63 420
May  16  34  29 208
Jun  31  42  75 492
Jul  24  34  67 436
Aug  15  34  47 316
Sep  13  55  37 277
Oct  29  54  68 525
Nov  20  87  82 577
Dec  17  35  61 401

Jan  21  36  64 620
Feb  26  58  80 652
Mar  24  75  70 495
Apr  21  70  74 514

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2 Getting Started With awk

The basic function of awk is to search files for lines (or other units of text) that contain certain patterns. When a line matching any of those patterns is found, awk performs specified actions on that line. Then awk keeps processing input lines until the end of the file is reached.

An awk program or script consists of a series of rules. (They may also contain function definitions, but that is an advanced feature, so let’s ignore it for now. See section User–defined Functions.)

A rule contains a pattern, an action, or both. Actions are enclosed in curly braces to distinguish them from patterns. Therefore, an awk program is a sequence of rules in the form:

pattern { action }
pattern { action }
…

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2.1 A Very Simple Example

The following command runs a simple awk program that searches the input file ‘BBS-list’ for the string of characters: ‘foo’. (A string of characters is usually called, quite simply, a string.)

awk '/foo/ { print $0 }' BBS-list

When lines containing ‘foo’ are found, they are printed, because print $0 means print the current line. (Just print by itself also means the same thing, so we could have written that instead.)

You will notice that slashes, ‘/’, surround the string ‘foo’ in the actual awk program. The slashes indicate that ‘foo’ is a pattern to search for. This type of pattern is called a regular expression, and is covered in more detail later (see section Regular Expressions as Patterns). There are single quotes around the awk program so that the shell won’t interpret any of it as special shell characters.

Here is what this program prints:

fooey        555-1234     2400/1200/300     B
foot         555-6699     1200/300          B
macfoo       555-6480     1200/300          A
sabafoo      555-2127     1200/300          C

In an awk rule, either the pattern or the action can be omitted, but not both.

If the pattern is omitted, then the action is performed for every input line.

If the action is omitted, the default action is to print all lines that match the pattern. We could leave out the action (the print statement and the curly braces) in the above example, and the result would be the same: all lines matching the pattern ‘foo’ would be printed. (By comparison, omitting the print statement but retaining the curly braces makes an empty action that does nothing; then no lines would be printed.)


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2.2 An Example with Two Rules

The awk utility reads the input files one line at a time. For each line, awk tries the patterns of all the rules. If several patterns match then several actions are run, in the order in which they appear in the awk program. If no patterns match, then no actions are run.

After processing all the rules (perhaps none) that match the line, awk reads the next line (however, see section The next Statement). This continues until the end of the file is reached.

For example, the awk program:

/12/  { print $0 }
/21/  { print $0 }

contains two rules. The first rule has the string ‘12’ as the pattern and ‘print $0’ as the action. The second rule has the string ‘21’ as the pattern and also has ‘print $0’ as the action. Each rule’s action is enclosed in its own pair of braces.

This awk program prints every line that contains the string ‘12or the string ‘21’. If a line contains both strings, it is printed twice, once by each rule.

If we run this program on our two sample data files, ‘BBS-list’ and ‘inventory-shipped’, as shown here:

awk '/12/ { print $0 }
     /21/ { print $0 }' BBS-list inventory-shipped

we get the following output:

aardvark     555-5553     1200/300          B
alpo-net     555-3412     2400/1200/300     A
barfly       555-7685     1200/300          A
bites        555-1675     2400/1200/300     A
core         555-2912     1200/300          C
fooey        555-1234     2400/1200/300     B
foot         555-6699     1200/300          B
macfoo       555-6480     1200/300          A
sdace        555-3430     2400/1200/300     A
sabafoo      555-2127     1200/300          C
sabafoo      555-2127     1200/300          C
Jan  21  36  64 620
Apr  21  70  74 514

Note how the line in ‘BBS-list’ beginning with ‘sabafoo’ was printed twice, once for each rule.


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2.3 A More Complex Example

Here is an example to give you an idea of what typical awk programs do. This example shows how awk can be used to summarize, select, and rearrange the output of another utility. It uses features that haven’t been covered yet, so don’t worry if you don’t understand all the details.

ls -l | awk '$5 == "Nov" { sum += $4 }
             END { print sum }'

This command prints the total number of bytes in all the files in the current directory that were last modified in November (of any year). (In the C shell you would need to type a semicolon and then a backslash at the end of the first line; in the Bourne shell you can type the example as shown.)

The ls -l part of this example is a command that gives you a full listing of all the files in a directory, including file size and date. Its output looks like this:

-rw-r--r--  1 close        1933 Nov  7 13:05 Makefile
-rw-r--r--  1 close       10809 Nov  7 13:03 gawk.h
-rw-r--r--  1 close         983 Apr 13 12:14 gawk.tab.h
-rw-r--r--  1 close       31869 Jun 15 12:20 gawk.y
-rw-r--r--  1 close       22414 Nov  7 13:03 gawk1.c
-rw-r--r--  1 close       37455 Nov  7 13:03 gawk2.c
-rw-r--r--  1 close       27511 Dec  9 13:07 gawk3.c
-rw-r--r--  1 close        7989 Nov  7 13:03 gawk4.c

The first field contains read–write permissions, the second field contains the number of links to the file, and the third field identifies the owner of the file. The fourth field contains the size of the file in bytes. The fifth, sixth, and seventh fields contain the month, day, and time, respectively, that the file was last modified. Finally, the eighth field contains the name of the file.

The ‘$5 == "Nov"’ in our awk program is an expression that tests whether the fifth field of the output from ls -l matches the string ‘Nov’. Each time a line has the string ‘Nov’ in its fifth field, the action ‘{ sum += $4 }’ is performed. This adds the fourth field (the file size) to the variable sum. As a result, when awk has finished reading all the input lines, sum will be the sum of the sizes of files whose lines matched the pattern.

After the last line of output from ls has been processed, the END pattern is executed, and the value of sum is printed. In this example, the value of sum would be 80600.

These more advanced awk techniques are covered in later sections (see section Actions: The Basics). Before you can move on to more advanced awk programming, you have to know how awk interprets your input and displays your output. By manipulating fields and using special print statements, you can produce some very useful and spectacular looking reports.


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2.4 How to Run awk Programs

There are several ways to run an awk program. If the program is short, it is easiest to include it in the command that runs awk, like this:

awk 'program' input-file1 input-file2

where program consists of a series of patterns and actions, as described earlier.

When the program is long, you would probably prefer to put it in a file and run it with a command like this:

awk -f program-file input-file1 input-file2

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2.4.1 One–shot Throw–away awk Programs

Once you are familiar with awk, you will often type simple programs at the moment you want to use them. Then you can write the program as the first argument of the awk command, like this:

awk 'program' input-file1 input-file2

where program consists of a series of patterns and actions, as described earlier.

This command format tells the shell to start awk and use the program to process records in the input file(s). There are single quotes around the program so that the shell doesn’t interpret any awk characters as special shell characters. They cause the shell to treat all of program as a single argument for awk. They also allow program to be more than one line long.

This format is also useful for running short or medium–sized awk programs from shell scripts, because it avoids the need for a separate file for the awk program. A self–contained shell script is more reliable since there are no other files to misplace.


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2.4.2 Running awk without Input Files

You can also use awk without any input files. If you type the command line:

awk 'program'

then awk applies the program to the standard input, which usually means whatever you type on the terminal. This continues until you indicate end–of–file by typing Control-d.

For example, if you type:

awk '/th/'

whatever you type next will be taken as data for that awk program. If you go on to type the following data,

Kathy
Ben
Tom
Beth
Seth
Karen
Thomas
Control-d

then awk will print

Kathy
Beth
Seth

as matching the pattern ‘th’. Notice that it did not recognize ‘Thomas’ as matching the pattern. The awk language is case sensitive, and matches patterns exactly.


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2.4.3 Running Long Programs

Sometimes your awk programs can be very long. In this case it is more convenient to put the program into a separate file. To tell awk to use that file for its program, you type:

awk -f source-file input-file1 input-file2

The ‘-f’ tells the awk utility to get the awk program from the file source-file. Any file name can be used for source-file. For example, you could put the program:

/th/

into the file ‘th-prog’. Then the command:

awk -f th-prog

does the same thing as this one:

awk '/th/'

which was explained earlier (see section Running awk without Input Files). Note that you don’t usually need single quotes around the file name that you specify with ‘-f’, because most file names don’t contain any of the shell’s special characters.

If you want to identify your awk program files clearly as such, you can add the extension ‘.awk’ to the filename. This doesn’t affect the execution of the awk program, but it does make “housekeeping” easier.


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2.4.4 Executable awk Programs

(The following section assumes that you are already somewhat familiar with awk.)

Once you have learned awk, you may want to write self–contained awk scripts, using the ‘#!’ script mechanism. You can do this on BSD Unix systems and GNU.

For example, you could create a text file named ‘hello’, containing the following (where ‘BEGIN’ is a feature we have not yet discussed):

#! /bin/awk -f

# a sample awk program

BEGIN    { print "hello, world" }

After making this file executable (with the chmod command), you can simply type:

hello

at the shell, and the system will arrange to run awk as if you had typed:

awk -f hello

Self–contained awk scripts are particularly useful for putting awk programs into production on your system, without your users having to know that they are actually using an awk program.

If your system does not support the ‘#!’ mechanism, you can get a similar effect using a regular shell script. It would look something like this:

: a sample awk program

awk 'program' "$@"

Using this technique, it is vital to enclose the program in single quotes to protect it from interpretation by the shell. If you omit the quotes, only a shell wizard can predict the result.

The ‘"$@"’ causes the shell to forward all the command line arguments to the awk program, without interpretation.


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2.4.5 Details of the awk Command Line

(The following section assumes that you are already familiar with awk.)

There are two ways to run awk. Here are templates for both of them; items enclosed in ‘[’ and ‘]’ in these templates are optional.

awk [ -Ffs ] [ -- ] 'program' file …
awk [ -Ffs ] -f source-file [ -f source-file … ] [ -- ] file

Options begin with a minus sign, and consist of a single character. The options and their meanings are as follows:

-Ffs

This sets the FS variable to fs (see section Special Variables). As a special case, if fs is ‘t’, then FS will be set to the tab character ("\t").

-f source-file

Indicates that the awk program is to be found in source-file instead of in the first non–option argument.

--

This signals the end of the command line options. If you wish to specify an input file named ‘-f’, you can precede it with the ‘--’ argument to prevent the ‘-f’ from being interpreted as an option. This handling of ‘--’ follows the POSIX argument parsing conventions.

Any other options will be flagged as invalid with a warning message, but are otherwise ignored.

If the ‘-f’ option is not used, then the first non–option command line argument is expected to be the program text.

The ‘-f’ option may be used more than once on the command line. awk will read its program source from all of the named files, as if they had been concatenated together into one big file. This is useful for creating libraries of awk functions. Useful functions can be written once, and then retrieved from a standard place, instead of having to be included into each individual program. You can still type in a program at the terminal and use library functions, by specifying ‘/dev/tty’ as one of the arguments to a ‘-f’. Type your program, and end it with the keyboard end–of–file character Control-d.

Any additional arguments on the command line are made available to your awk program in the ARGV array (see section Special Variables). These arguments are normally treated as input files to be processed in the order specified. However, an argument that has the form var=value, means to assign the value value to the variable var—it does not specify a file at all.

Command line options and the program text (if present) are omitted from the ARGV array. All other arguments, including variable assignments, are included (see section Special Variables).

The distinction between file name arguments and variable–assignment arguments is made when awk is about to open the next input file. At that point in execution, it checks the “file name” to see whether it is really a variable assignment; if so, instead of trying to read a file it will, at that point in the execution, assign the variable.

Therefore, the variables actually receive the specified values after all previously specified files have been read. In particular, the values of variables assigned in this fashion are not available inside a BEGIN rule (see section BEGIN and END Special Patterns), since such rules are run before awk begins scanning the argument list.

The variable assignment feature is most useful for assigning to variables such as RS, OFS, and ORS, which control input and output formats, before listing the data files. It is also useful for controlling state if multiple passes are needed over a data file. For example:

awk 'pass == 1  { pass 1 stuff }
     pass == 2  { pass 2 stuff }' pass=1 datafile pass=2 datafile

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2.5 Comments in awk Programs

When you write a complicated awk program, you can put comments in the program file to help you remember what the program does, and how it works.

A comment starts with the the sharp sign character, #, and continues to the end of the line. The awk language ignores the rest of a line following a sharp sign. For example, we could have put the following into ‘th-prog’:

# This program finds records containing the pattern ‘th’.  This is how
# you continue comments on additional lines.
/th/

You can put comment lines into keyboard–composed throw–away awk programs also, but this usually isn’t very useful; the purpose of a comment is to help yourself or another person understand the program at another time.


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2.6 awk Statements versus Lines

Most often, each line in an awk program is a separate statement or separate rule, like this:

awk '/12/  { print $0 }
     /21/  { print $0 }' BBS-list inventory-shipped

But sometimes statements can be more than one line, and lines can contain several statements.

You can split a statement into multiple lines by inserting a newline after any of the following:

,    {    ?    :    ||    &&

Lines ending in do or else automatically have their statements continued on the following line(s). A newline at any other point ends the statement.

If you would like to split a single statement into two lines at a point where a newline would terminate it, you can continue it by ending the first line with a backslash character, ‘\’. This is allowed absolutely anywhere in the statement, even in the middle of a string or regular expression. For example:

awk '/This program is too long, so continue it\
 on the next line/ { print $1 }'

We have generally not used backslash continuation in the sample programs in this manual. Since there is no limit on the length of a line, it is never strictly necessary; it just makes programs prettier. We have preferred to make them even more pretty by keeping the statements short. Backslash continuation is most useful when your awk program is in a separate source file, instead of typed in on the command line.

Warning: this does not work if you are using the C shell. Continuation with backslash works for awk programs in files, and also for one–shot programs provided you are using the Bourne shell, the Korn shell, or the Bourne–again shell. But the C shell used on Berkeley Unix behaves differently! There, you must use two backslashes in a row, followed by a newline.

When awk statements within one rule are short, you might want to put more than one of them on a line. You do this by separating the statements with semicolons, ‘;’. This also applies to the rules themselves. Thus, the above example program could have been written:

/12/ { print $0 } ; /21/ { print $0 }

Note: It is a new requirement that rules on the same line require semicolons as a separator in the awk language; it was done for consistency with the statements in the action part of rules.


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2.7 When to Use awk

What use is all of this to me, you might ask? Using additional operating system utilities, more advanced patterns, field separators, arithmetic statements, and other selection criteria, you can produce much more complex output. The awk language is very useful for producing reports from large amounts of raw data, like summarizing information from the output of standard operating system programs such as ls. (See section A More Complex Example.)

Programs written with awk are usually much smaller than they would be in other languages. This makes awk programs easy to compose and use. Often awk programs can be quickly composed at your terminal, used once, and thrown away. Since awk programs are interpreted, you can avoid the usually lengthy edit–compile–test–debug cycle of software development.

Complex programs have been written in awk, including a complete retargetable assembler for 8–bit microprocessors (see section Glossary for more information) and a microcode assembler for a special purpose Prolog computer. However, awk’s capabilities are strained by tasks of such complexity.

If you find yourself writing awk scripts of more than, say, a few hundred lines, you might consider using a different programming language. Emacs Lisp is a good choice if you need sophisticated string or pattern matching capabilities. The shell is also good at string and pattern matching; in addition it allows powerful use of the standard utilities. More conventional languages like C, C++, or Lisp offer better facilities for system programming and for managing the complexity of large programs. Programs in these languages may require more lines of source code than the equivalent awk programs, but they will be easier to maintain and usually run more efficiently.


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3 Reading Files (Input)

In the typical awk program, all input is read either from the standard input (usually the keyboard) or from files whose names you specify on the awk command line. If you specify input files, awk reads data from the first one until it reaches the end; then it reads the second file until it reaches the end, and so on. The name of the current input file can be found in the special variable FILENAME (see section Special Variables).

The input is split automatically into records, and processed by the rules one record at a time. (Records are the units of text mentioned in the introduction; by default, a record is a line of text.) Each record read is split automatically into fields, to make it more convenient for a rule to work on parts of the record under consideration.

On rare occasions you will need to use the getline command, which can do explicit input from any number of files.


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3.1 How Input is Split into Records

The awk language divides its input into records and fields. Records are separated from each other by the record separator. By default, the record separator is the newline character. Therefore, normally, a record is a line of text.

Sometimes you may want to use a different character to separate your records. You can use different characters by changing the special variable RS.

The value of RS is a string that says how to separate records; the default value is "\n", the string of just a newline character. This is why lines of text are the default record. Although RS can have any string as its value, only the first character of the string will be used as the record separator. The other characters are ignored. RS is exceptional in this regard; awk uses the full value of all its other special variables.

The value of RS is changed by assigning it a new value (see section Assignment Operators). One way to do this is at the beginning of your awk program, before any input has been processed, using the special BEGIN pattern (see section BEGIN and END Special Patterns). This way, RS is changed to its new value before any input is read. The new value of RS is enclosed in quotation marks. For example:

awk 'BEGIN { RS = "/" } ; { print $0 }' BBS-list

changes the value of RS to ‘/’, the slash character, before reading any input. Records are now separated by a slash. The second rule in the awk program (the action with no pattern) will proceed to print each record. Since each print statement adds a newline at the end of its output, the effect of this awk program is to copy the input with each slash changed to a newline.

Another way to change the record separator is on the command line, using the variable–assignment feature (see section Details of the awk Command Line).

awk '…' RS="/" source-file

RS will be set to ‘/’ before processing source-file.

The empty string (a string of no characters) has a special meaning as the value of RS: it means that records are separated only by blank lines. See section Multiple–Line Records, for more details.

The awk utility keeps track of the number of records that have been read so far from the current input file. This value is stored in a special variable called FNR. It is reset to zero when a new file is started. Another variable, NR, is the total number of input records read so far from all files. It starts at zero but is never automatically reset to zero.

If you change the value of RS in the middle of an awk run, the new value is used to delimit subsequent records, but the record currently being processed (and records already finished) are not affected.


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3.2 Examining Fields

When awk reads an input record, the record is automatically separated or parsed by the interpreter into pieces called fields. By default, fields are separated by whitespace, like words in a line. Whitespace in awk means any string of one or more spaces and/or tabs; other characters such as newline, formfeed, and so on, that are considered whitespace by other languages are not considered whitespace by awk.

The purpose of fields is to make it more convenient for you to refer to these pieces of the record. You don’t have to use them—you can operate on the whole record if you wish—but fields are what make simple awk programs so powerful.

To refer to a field in an awk program, you use a dollar–sign, ‘$’, followed by the number of the field you want. Thus, $1 refers to the first field, $2 to the second, and so on. For example, suppose the following is a line of input:

This seems like a pretty nice example.

Here the first field, or $1, is ‘This’; the second field, or $2, is ‘seems’; and so on. Note that the last field, $7, is ‘example.’. Because there is no space between the ‘e’ and the ‘.’, the period is considered part of the seventh field.

No matter how many fields there are, the last field in a record can be represented by $NF. So, in the example above, $NF would be the same as $7, which is ‘example.’. Why this works is explained below (see section Non-constant Field Numbers). If you try to refer to a field beyond the last one, such as $8 when the record has only 7 fields, you get the empty string.

Plain NF, with no ‘$’, is a special variable whose value is the number of fields in the current record.

$0, which looks like an attempt to refer to the zeroth field, is a special case: it represents the whole input record. This is what you would use when you aren’t interested in fields.

Here are some more examples:

awk '$1 ~ /foo/ { print $0 }' BBS-list

This example contains the matching operator ~ (see section Comparison Expressions). Using this operator, all records in the file ‘BBS-list’ whose first field contains the string ‘foo’ are printed.

By contrast, the following example:

awk '/foo/ { print $1, $NF }' BBS-list

looks for the string ‘foo’ in the entire record and prints the first field and the last field for each input record containing the pattern.

The following program will search the system password file, and print the entries for users who have no password.

awk -F: '$2 == ""' /etc/passwd

This program uses the ‘-F’ option on the command line to set the file separator. (Fields in ‘/etc/passwd’ are separated by colons. The second field represents a user’s encrypted password, but if the field is empty, that user has no password.)


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3.3 Non-constant Field Numbers

The number of a field does not need to be a constant. Any expression in the awk language can be used after a ‘$’ to refer to a field. The awk utility evaluates the expression and uses the numeric value as a field number. Consider this example:

awk '{ print $NR }'

Recall that NR is the number of records read so far: 1 in the first record, 2 in the second, etc. So this example will print the first field of the first record, the second field of the second record, and so on. For the twentieth record, field number 20 will be printed; most likely this will make a blank line, because the record will not have 20 fields.

Here is another example of using expressions as field numbers:

awk '{ print $(2*2) }' BBS-list

The awk language must evaluate the expression ‘(2*2)’ and use its value as the field number to print. The ‘*’ sign represents multiplication, so the expression ‘2*2’ evaluates to 4. This example, then, prints the hours of operation (the fourth field) for every line of the file ‘BBS-list’.

When you use non–constant field numbers, you may ask for a field with a negative number. This always results in an empty string, just like a field whose number is too large for the input record. For example, ‘$(1-4)’ would try to examine field number -3; it would result in an empty string.

If the field number you compute is zero, you get the entire record.

The number of fields in the current record is stored in the special variable NF (see section Special Variables). The expression ‘$NF’ is not a special feature: it is the direct consequence of evaluating NF and using its value as a field number.


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3.4 Changing the Contents of a Field

You can change the contents of a field as seen by awk within an awk program; this changes what awk perceives as the current input record. (The actual input is untouched: awk never modifies the input file.)

Look at this example:

awk '{ $3 = $2 - 10; print $2, $3 }' inventory-shipped

The ‘-’ sign represents subtraction, so this program reassigns field three, $3, to be the value of field two minus ten, ‘$2 - 10’. (See section Arithmetic Operators.) Then field two, and the new value for field three, are printed.

In order for this to work, the text in field $2 must make sense as a number; the string of characters must be converted to a number in order for the computer to do arithmetic on it. The number resulting from the subtraction is converted back to a string of characters which then becomes field 3. See section Conversion of Strings and Numbers.

When you change the value of a field (as perceived by awk), the text of the input record is recalculated to contain the new field where the old one was. $0 will from that time on reflect the altered field. Thus,

awk '{ $2 = $2 - 10; print $0 }' inventory-shipped

will print a copy of the input file, with 10 subtracted from the second field of each line.

You can also assign contents to fields that are out of range. For example:

awk '{ $6 = ($5 + $4 + $3 + $2)/4) ; print $6 }' inventory-shipped

We’ve just created $6, whose value is the average of fields $2, $3, $4, and $5. The ‘+’ sign represents addition, and the ‘/’ sign represents division. For the file ‘inventory-shipped$6 represents the average number of parcels shipped for a particular month.

Creating a new field changes what awk interprets as the current input record. The value of $0 will be recomputed. This recomputation affects and is affected by features not yet discussed, in particular, the Output Field Separator, OFS, which is used to separate the fields (see section Output Separators), and NF (the number of fields; see section Examining Fields). For example, the value of NF will be set to the number of the highest out–of–range field you create.

Note, however, that merely referencing an out–of–range field will not change the value of either $0 or NF. Referencing an out–of–range field merely produces a null string. For example:

if ($(NF+1) != "")
    print "can't happen"
else
    print "everything is normal"

should print ‘everything is normal’. (See section The if Statement, for more information about awk’s ‘if-else’ statements.)


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3.5 Specifying How Fields Are Separated

You can change the way awk splits a record into fields by changing the value of the field separator. The field separator is represented by the special variable FS in an awk program, and can be set by ‘-F’ on the command line. The awk language scans each input line for the field separator character to determine the positions of fields within that line. Shell programmers take note! awk uses the variable FS, not IFS.

The default value of the field separator is a string containing a single space. This value is actually a special case; as you know, by default, fields are separated by whitespace sequences, not by single spaces: two spaces in a row do not delimit an empty field. “Whitespace” is defined as sequences of one or more spaces or tab characters.

You change the value of FS by assigning it a new value. You can do this using the special BEGIN pattern (see section BEGIN and END Special Patterns). This pattern allows you to change the value of FS before any input is read. The new value of FS is enclosed in quotations. For example, set the value of FS to the string ‘","’:

awk 'BEGIN { FS = "," } ; { print $2 }'

and use the input line:

John Q. Smith, 29 Oak St., Walamazoo, MI 42139

This awk program will extract the string ‘29 Oak St.’.

Sometimes your input data will contain separator characters that don’t separate fields the way you thought they would. For instance, the person’s name in the example we’ve been using might have a title or suffix attached, such as ‘John Q. Smith, LXIX’. If you assigned FS to be ‘,’ then:

awk 'BEGIN { FS = "," } ; { print $2 }

would extract ‘LXIX’, instead of ‘29 Oak St.’. If you were expecting the program to print the address, you would be surprised. So, choose your data layout and separator characters carefully to prevent problems like this from happening.

You can assign FS to be a series of characters. For example, the assignment:

FS = ", \t"

makes every area of an input line that consists of a comma followed by a space and a tab, into a field separator. (‘\t’ stands for a tab.)

If FS is any single character other than a blank, then that character is used as the field separator, and two successive occurrences of that character do delimit an empty field.

If you assign FS to a string longer than one character, that string is evaluated as a regular expression (see section Regular Expressions as Patterns). The value of the regular expression is used as a field separator.

FS can be set on the command line. You use the ‘-F’ argument to do so. For example:

awk -F, 'program' input-files

sets FS to be the ‘,’ character. Notice that the argument uses a capital ‘F’. Contrast this with ‘-f’, which specifies a file containing an awk program. Case is significant in command options: the ‘-F’ and ‘-f’ options have nothing to do with each other. You can use both options at the same time to set the FS argument and get an awk program from a file.

As a special case, if the argument to ‘-F’ is ‘t’, then FS is set to the tab character. (This is because if you type ‘-F\t’, without the quotes, at the shell, the ‘\’ gets deleted, so awk figures that you really want your fields to be separated with tabs, and not ‘t’s. Use FS="t" if you really do want to separate your fields with ‘t’s.)

For example, let’s use an awk program file called ‘baud.awk’ that contains the pattern ‘/300/’, and the action ‘print $1’. We’ll use the operating system utility cat to “look” at our program:

% cat baud.awk
/300/   { print $1 }

Let’s also set FS to be the ‘-’ character. We will apply all this information to the file ‘BBS-list’. This awk program will now print a list of the names of the bulletin boards that operate at 300 baud and the first three digits of their phone numbers.

awk -F- -f baud.awk BBS-list

produces this output:

aardvark     555
alpo
barfly       555
bites        555
camelot      555
core         555
fooey        555
foot         555
macfoo       555
sdace        555
sabafoo      555

Note the second line of output. If you check the original file, you will see that the second line looked like this:

alpo-net     555-3412     2400/1200/300     A

The ‘-’ as part of the system’s name was used as the field separator, instead of the ‘-’ in the phone number that was originally intended. This demonstrates why you have to be careful in choosing your field and record separators.


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3.6 Multiple–Line Records

In some data bases, a single line cannot conveniently hold all the information in one entry. Then you will want to use multi–line records.

The first step in doing this is to choose your data format: when records are not defined as single lines, how will you want to define them? What should separate records?

One technique is to use an unusual character or string to separate records. For example, you could use the formfeed character (written ‘\f’ in awk, as in C) to separate them, making each record a page of the file. To do this, just set the variable RS to "\f" (a string containing the formfeed character), or whatever string you prefer to use.

Another technique is to have blank lines separate records. By a special dispensation, a null string as the value of RS indicates that records are separated by one or more blank lines. If you set RS to the null string, a record will always end at the first blank line encountered. And the next record won’t start until the first nonblank line that follows—no matter how many blank lines appear in a row, they will be considered one record–separator.

The second step is to separate the fields in the record. One way to do this is to put each field on a separate line: to do this, just set the variable FS to the string "\n". (This simple regular expression matches a single newline.) Another idea is to divide each of the lines into fields in the normal manner; the regular expression "[ \t\n]+" will do this nicely by treating the newlines inside the record just like spaces.

When RS is set to the null string, the newline character always acts as a field separator. This is in addition to whatever value FS has. The probable reason for this rule is so that you get rational behavior in the default case (i.e. FS == " "). This can be a problem if you really don’t want the newline character to separate fields, since there is no way to do that. However, you can work around this by using the split function to manually break up your data (see section Built–in Functions for String Manipulation).

Here is how to use records separated by blank lines and break each line into fields normally:

awk 'BEGIN { RS = ""; FS = "[ \t\n]+" } ; { print $0 }' BBS-list

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3.7 Assigning Variables on the Command Line

You can include variable assignments among the file names on the command line used to invoke awk (see section Details of the awk Command Line). Such assignments have the form:

variable=text

and allow you to change variables either at the beginning of the awk run or in between input files. The variable assignment is performed at a time determined by its position among the input file arguments: after the processing of the preceding input file argument. For example:

awk '{ print $n }' n=4 inventory-shipped n=2 BBS-list

prints the value of field number n for all input records. Before the first file is read, the command line sets the variable n equal to 4. This causes the fourth field of the file ‘inventory-shipped’ to be printed. After the first file has finished, but before the second file is started, n is set to 2, so that the second field of the file ‘BBS-list’ will be printed.

Command line arguments are made available for explicit examination by the awk program in an array named ARGV (see section Special Variables).


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3.8 Explicit Input with getline

So far we have been getting our input files from awk’s main input stream—either the standard input (usually your terminal) or the files specified on the command line. The awk language has a special built–in function called getline that can be used to read input under your explicit control.

This command is quite complex and should not be used by beginners. The command (and its variations) is covered here because this is the section about input. The examples that follow the explanation of the getline command include material that has not been covered yet. Therefore, come back and attempt the getline command after you have reviewed the rest of this manual and have a good knowledge of how awk works.

When retrieving input, getline returns a 1 if it found a record, and a 0 if the end of the file was encountered. If there was some error in getting a record, such as a file that could not be opened, then getline returns a -1.

In the following examples, command stands for a string value that represents a shell command.

getline

The getline function can be used by itself, in an awk program, to read input from the current input. All it does in this case is read the next input record and split it up into fields. This is useful if you’ve finished processing the current record, but you want to do some special processing right now on the next record. Here’s an example:

awk '{
     if (t = index($0, "/*")) {
          if(t > 1)
               tmp = substr($0, 1, t - 1)
          else
               tmp = ""
          u = index(substr($0, t + 2), "*/")
          while (! u) {
               getline
               t = -1
               u = index($0, "*/")
          }
          if(u <= length($0) - 2)
               $0 = tmp substr($0, t + u + 3)
          else
               $0 = tmp
     }
     print $0
}'

This awk program deletes all comments, ‘/* … */’, from the input. By replacing the ‘print $0’ with other statements, you could perform more complicated processing on the de–commented input, such as search it for matches for a regular expression.

This form of the getline command sets NF (the number of fields; see section Examining Fields), NR (the number of records read so far), the FNR variable (see section How Input is Split into Records), and the value of $0.

Note: The new value of $0 will be used in testing the patterns of any subsequent rules. The original value of $0 that triggered the rule which executed getline is lost. By contrast, the next statement reads a new record but immediately begins processing it normally, starting with the first rule in the program. See section The next Statement.

getline var

This form of getline reads a record into the variable var. This is useful when you want your program to read the next record from the input file, but you don’t want to subject the record to the normal input processing.

For example, suppose the next line is a comment, or a special string, and you want to read it, but you must make certain that it won’t accidentally trigger any rules. This version of getline will allow you to read that line and store it in a variable so that the main read–a–line–and–check–each–rule loop of awk never sees it.

The following example swaps every two lines of input. For example, given:

wan
tew
free
phore

it outputs:

tew
wan
phore
free

Here’s the program:

awk '{
     if ((getline tmp) > 0) {
          print tmp
          print $0
     } else
          print $0
}'

The getline function used in this way sets only NR and FNR (and of course, var). The record is not split into fields, so the values of the fields (including $0) and the value of NF do not change.

getline < file

This form of the getline function takes its input from the file file. Here file is a string–valued expression that specifies the file name.

This form is useful if you want to read your input from a particular file, instead of from the main input stream. For example, the following program reads its input record from the file ‘foo.input’ when it encounters a first field with a value equal to 10 in the current input file.

awk '{
if ($1 == 10) {
     getline < "foo.input"
     print
} else
     print
}'

Since the main input stream is not used, the values of NR and FNR are not changed. But the record read is split into fields in the normal manner, so the values of $0 and other fields are changed. So is the value of NF.

This does not cause the record to be tested against all the patterns in the awk program, in the way that would happen if the record were read normally by the main processing loop of awk. However the new record is tested against any subsequent rules, just as when getline is used without a redirection.

getline var < file

This form of the getline function takes its input from the file file and puts it in the variable var. As above, file is a string–valued expression that specifies the file to read from.

In this version of getline, none of the built–in variables are changed, and the record is not split into fields. The only variable changed is var.

For example, the following program copies all the input files to the output, except for records that say @include filename. Such a record is replaced by the contents of the file filename.

awk '{
     if (NF == 2 && $1 == "@include") {
          while ((getline line < $2) > 0)
               print line
          close($2)
     } else
          print
}'

Note here how the name of the extra input file is not built into the program; it is taken from the data, from the second field on the ‘@include’ line.

The close command is used to ensure that if two identical ‘@include’ lines appear in the input, the entire specified file is included twice. See section Closing Input Files.

One deficiency of this program is that it does not process nested ‘@include’ statements the way a true macro preprocessor would.

command | getline

You can pipe the output of a command into getline. A pipe is simply a way to link the output of one program to the input of another. In this case, the string command is run as a shell command and its output is piped into awk to be used as input. This form of getline reads one record from the pipe.

For example, the following program copies input to output, except for lines that begin with ‘@execute’, which are replaced by the output produced by running the rest of the line as a shell command:

awk '{
     if ($1 == "@execute") {
          tmp = substr($0, 10)
          while ((tmp | getline) > 0)
               print
          close(tmp)
     } else
          print
}'

The close command is used to ensure that if two identical ‘@execute’ lines appear in the input, the command is run again for each one. See section Closing Input Files.

Given the input:

foo
bar
baz
@execute who
bletch

the program might produce:

foo
bar
baz
hack     ttyv0   Jul 13 14:22
hack     ttyp0   Jul 13 14:23     (gnu:0)
hack     ttyp1   Jul 13 14:23     (gnu:0)
hack     ttyp2   Jul 13 14:23     (gnu:0)
hack     ttyp3   Jul 13 14:23     (gnu:0)
bletch

Notice that this program ran the command who and printed the result. (If you try this program yourself, you will get different results, showing you logged in.)

This variation of getline splits the record into fields, sets the value of NF and recomputes the value of $0. The values of NR and FNR are not changed.

command | getline var

The output of the command command is sent through a pipe to getline and into the variable var. For example, the following program reads the current date and time into the variable current_time, using the utility called date, and then prints it.

awk 'BEGIN {
     "date" | getline current_time
     close("date")
     print "Report printed on " current_time
}'

In this version of getline, none of the built–in variables are changed, and the record is not split into fields.


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3.8.1 Closing Input Files

If the same file name or the same shell command is used with getline more than once during the execution of the awk program, the file is opened (or the command is executed) only the first time. At that time, the first record of input is read from that file or command. The next time the same file or command is used in getline, another record is read from it, and so on.

What this implies is that if you want to start reading the same file again from the beginning, or if you want to rerun a shell command (rather that reading more output from the command), you must take special steps. What you can do is use the close statement:

close (filename)

This statement closes a file or pipe, represented here by filename. The string value of filename must be the same value as the string used to open the file or pipe to begin with.

Once this statement is executed, the next getline from that file or command will reopen the file or rerun the command.


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4 Printing Output

One of the most common things that actions do is to output or print some or all of the input. For simple output, use the print statement. For fancier formatting use the printf statement. Both are described in this chapter.


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4.1 The print Statement

The print statement does output with simple, standardized formatting. You specify only the strings or numbers to be printed, in a list separated by commas. They are output, separated by single spaces, followed by a newline. The statement looks like this:

print item1, item2, …

The entire list of items may optionally be enclosed in parentheses. The parentheses are necessary if any of the item expressions uses a relational operator; otherwise it could be confused with a redirection (see section Redirecting Output of print and printf). The relational operators are ‘==’, ‘!=’, ‘<’, ‘>’, ‘>=’, ‘<=’, ‘~’ and ‘!~’ (see section Comparison Expressions).

The items printed can be constant strings or numbers, fields of the current record (such as $1), variables, or any awk expressions. The print statement is completely general for computing what values to print. With one exception (see section Output Separators), what you can’t do is specify how to print them—how many columns to use, whether to use exponential notation or not, and so on. For that, you need the printf statement (see section Using printf Statements For Fancier Printing).

To print a fixed piece of text, write a string constant as one item, such as "Hello there". If you forget to use the double–quote characters, your text will be taken as an awk expression, and you will probably get an error. Keep in mind that a space will be printed between any two items.

The simple statement ‘print’ with no items is equivalent to ‘print $0’: it prints the entire current record. To print a blank line, use ‘print ""’, where "" is the null, or empty, string.

Most often, each print statement makes one line of output. But it isn’t limited to one line. If an item value is a string that contains a newline, the newline is output along with the rest of the string. A single print can make any number of lines this way.


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4.2 Examples of print Statements

Here is an example that prints the first two fields of each input record, with a space between them:

awk '{ print $1, $2 }' inventory-shipped

Its output looks like this:

Jan 13
Feb 15
Mar 15
…

A common mistake in using the print statement is to omit the comma between two items. This often has the effect of making the items run together in the output, with no space. The reason for this is that juxtaposing two string expressions in awk means to concatenate them. For example, without the comma:

awk '{ print $1 $2 }' inventory-shipped

prints:

Jan13
Feb15
Mar15
…

Neither example’s output makes much sense to someone unfamiliar with the file ‘inventory-shipped’. A heading line at the beginning would make it clearer. Let’s add some headings to our table of months ($1) and green crates shipped ($2). We do this using the BEGIN pattern (see section BEGIN and END Special Patterns) to cause the headings to be printed only once:

awk 'BEGIN {  print "Month Crates"
              print "----- ------" }
           {  print $1, $2 }' inventory-shipped

Did you already guess what will happen? This program prints the following:

Month Crates
----- ------
Jan 13
Feb 15
Mar 15
…

The headings and the table data don’t line up! We can fix this by printing some spaces between the two fields:

awk 'BEGIN { print "Month Crates"
             print "----- ------" }
           { print $1, "     ", $2 }' inventory-shipped

You can imagine that this way of lining up columns can get pretty complicated when you have many columns to fix. Counting spaces for two or three columns can be simple, but more than this and you can get “lost” quite easily. This is why the printf statement was created (see section Using printf Statements For Fancier Printing); one of its specialties is lining up columns of data.


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4.3 Output Separators

As mentioned previously, a print statement contains a list of items, separated by commas. In the output, the items are normally separated by single spaces. But they do not have to be spaces; a single space is only the default. You can specify any string of characters to use as the output field separator, by setting the special variable OFS. The initial value of this variable is the string " ".

The output from an entire print statement is called an output record. Each print statement outputs one output record and then outputs a string called the output record separator. The special variable ORS specifies this string. The initial value of the variable is the string "\n" containing a newline character; thus, normally each print statement makes a separate line.

You can change how output fields and records are separated by assigning new values to the variables OFS and/or ORS. The usual place to do this is in the BEGIN rule (see section BEGIN and END Special Patterns), so that it happens before any input is processed. You may also do this with assignments on the command line, before the names of your input files.

The following example prints the first and second fields of each input record separated by a semicolon, with a blank line added after each line:

awk 'BEGIN { OFS = ";"; ORS = "\n\n" }
           { print $1, $2 }'  BBS-list

If the value of ORS does not contain a newline, all your output will be run together on a single line, unless you output newlines some other way.


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4.4 Redirecting Output of print and printf

So far we have been dealing only with output that prints to the standard output, usually your terminal. Both print and printf can be told to send their output to other places. This is called redirection.

A redirection appears after the print or printf statement. Redirections in awk are written just like redirections in shell commands, except that they are written inside the awk program.

Here are the three forms of output redirection. They are all shown for the print statement, but they work for printf also.

print items > output-file

This type of redirection prints the items onto the output file output-file. The file name output-file can be any expression. Its value is changed to a string and then used as a filename (see section Actions: Expressions).

When this type of redirection is used, the output-file is erased before the first output is written to it. Subsequent writes do not erase output-file, but append to it. If output-file does not exist, then it is created.

For example, here is how one awk program can write a list of BBS names to a file ‘name-list’ and a list of phone numbers to a file ‘phone-list’. Each output file contains one name or number per line.

awk '{ print $2 > "phone-list"
       print $1 > "name-list" }' BBS-list
print items >> output-file

This type of redirection prints the items onto the output file output-file. The difference between this and the single–‘>’ redirection is that the old contents (if any) of output-file are not erased. Instead, the awk output is appended to the file.

print items | command

It is also possible to send output through a pipe instead of into a file. This type of redirection opens a pipe to command and writes the values of items through this pipe, to another process created to execute command.

The redirection argument command is actually an awk expression. Its value is converted to a string, whose contents give the shell command to be run.

For example, this produces two files, one unsorted list of BBS names and one list sorted in reverse alphabetical order:

awk '{ print $1 > "names.unsorted"
       print $1 | "sort -r > names.sorted" }' BBS-list

Here the unsorted list is written with an ordinary redirection while the sorted list is written by piping through the sort utility.

Here is an example that uses redirection to mail a message to a mailing list ‘bug-system’. This might be useful when trouble is encountered in an awk script run periodically for system maintenance.

print "Awk script failed:", $0 | "mail bug-system"
print "processing record number", FNR, "of", FILENAME  | "mail bug-system"
close ("mail bug-system")

We use a close statement here because it’s a good idea to close the pipe as soon as all the intended output has been sent to it. See section Closing Output Files and Pipes, for more information on this.

Redirecting output using ‘>’, ‘>>’, or ‘|’ asks the system to open a file or pipe only if the particular file or command you’ve specified has not already been written to by your program.


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4.4.1 Closing Output Files and Pipes

When a file or pipe is opened, the filename or command associated with it is remembered by awk and subsequent writes to the same file or command are appended to the previous writes. The file or pipe stays open until awk exits. This is usually convenient.

Sometimes there is a reason to close an output file or pipe earlier than that. To do this, use the close command, as follows:

close (filename)

or

close (command)

The argument filename or command can be any expression. Its value must exactly equal the string used to open the file or pipe to begin with—for example, if you open a pipe with this:

print $1 | "sort -r > names.sorted"

then you must close it with this:

close ("sort -r > names.sorted")

Here are some reasons why you might need to close an output file:


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4.5 Using printf Statements For Fancier Printing

If you want more precise control over the output format than print gives you, use printf. With printf you can specify the width to use for each item, and you can specify various stylistic choices for numbers (such as what radix to use, whether to print an exponent, whether to print a sign, and how many digits to print after the decimal point). You do this by specifying a format string.


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4.5.1 Introduction to the printf Statement

The printf statement looks like this:

printf format, item1, item2, …

The entire list of items may optionally be enclosed in parentheses. The parentheses are necessary if any of the item expressions uses a relational operator; otherwise it could be confused with a redirection (see section Redirecting Output of print and printf). The relational operators are ‘==’, ‘!=’, ‘<’, ‘>’, ‘>=’, ‘<=’, ‘~’ and ‘!~’ (see section Comparison Expressions).

The difference between printf and print is the argument format. This is an expression whose value is taken as a string; its job is to say how to output each of the other arguments. It is called the format string.

The format string is essentially the same as in the C library function printf. Most of format is text to be output verbatim. Scattered among this text are format specifiers, one per item. Each format specifier says to output the next item at that place in the format.

The printf statement does not automatically append a newline to its output. It outputs nothing but what the format specifies. So if you want a newline, you must include one in the format. The output separator variables OFS and ORS have no effect on printf statements.


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4.5.2 Format–Control Characters

A format specifier starts with the character ‘%’ and ends with a format–control letter; it tells the printf statement how to output one item. (If you actually want to output a ‘%’, write ‘%%’.) The format–control letter specifies what kind of value to print. The rest of the format specifier is made up of optional modifiers which are parameters such as the field width to use.

Here is a list of them:

c

This prints a number as an ASCII character. Thus, ‘printf "%c", 65’ outputs the letter ‘A’. The output for a string value is the first character of the string.

d

This prints a decimal integer.

e

This prints a number in scientific (exponential) notation. For example,

printf "%4.3e", 1950

prints ‘1.950e+03’, with a total of 4 significant figures of which 3 follow the decimal point. The ‘4.3’ are modifiers, discussed below.

f

This prints a number in floating point notation.

g

This prints either scientific notation or floating point notation, whichever is shorter.

o

This prints an unsigned octal integer.

s

This prints a string.

x

This prints an unsigned hexadecimal integer.

%

This isn’t really a format–control letter, but it does have a meaning when used after a ‘%’: the sequence ‘%%’ outputs one ‘%’. It does not consume an argument.


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4.5.3 Modifiers for printf Formats

A format specification can also include modifiers that can control how much of the item’s value is printed and how much space it gets. The modifiers come between the ‘%’ and the format–control letter. Here are the possible modifiers, in the order in which they may appear:

-

The minus sign, used before the width modifier, says to left–justify the argument within its specified width. Normally the argument is printed right–justified in the specified width.

width

This is a number representing the desired width of a field. Inserting any number between the ‘%’ sign and the format control character forces the field to be expanded to this width. The default way to do this is to pad with spaces on the left.

.prec

This is a number that specifies the precision to use when printing. This specifies the number of digits you want printed to the right of the decimal place.

The C library printf’s dynamic width and prec capability (for example, "%*.*s") is not supported. However, it can be easily simulated using concatenation to dynamically build the format string.


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4.5.4 Examples of Using printf

Here is how to use printf to make an aligned table:

awk '{ printf "%-10s %s\n", $1, $2 }' BBS-list

prints the names of bulletin boards ($1) of the file ‘BBS-list’ as a string of 10 characters, left justified. It also prints the phone numbers ($2) afterward on the line. This will produce an aligned two–column table of names and phone numbers, like so:

aardvark   555-5553
alpo-net   555-3412
barfly     555-7685
bites      555-1675
camelot    555-0542
core       555-2912
fooey      555-1234
foot       555-6699
macfoo     555-6480
sdace      555-3430
sabafoo    555-2127

Did you notice that we did not specify that the phone numbers be printed as numbers? They had to be printed as strings because the numbers are separated by a dash. This dash would be interpreted as a minus sign if we had tried to print the phone numbers as numbers. This would have led to some pretty confusing results.

We did not specify a width for the phone numbers because they are the last things on their lines. We don’t need to put spaces after them.

We could make our table look even nicer by adding headings to the tops of the columns. To do this, use the BEGIN pattern (see section BEGIN and END Special Patterns) to cause the header to be printed only once, at the beginning of the awk program:

awk 'BEGIN { print "Name      Number"
             print "----      ------" }
      { printf "%-10s %s\n", $1, $2 }' BBS-list

Did you notice that we mixed print and printf statements in the above example? We could have used just printf statements to get the same results:

awk 'BEGIN { printf "%-10s %s\n", "Name", "Number"
             printf "%-10s %s\n", "----", "------" }
     { printf "%-10s %s\n", $1, $2 }' BBS-list

By outputting each column heading with the same format specification used for the elements of the column, we have made sure that the headings will be aligned just like the columns.

The fact that the same format specification is used can be emphasized by storing it in a variable, like so:

awk 'BEGIN { format = "%-10s %s\n"
             printf format, "Name", "Number"
             printf format, "----", "------" }
     { printf format, $1, $2 }' BBS-list

See if you can use the printf statement to line up the headings and table data for our ‘inventory-shipped’ example covered earlier in the section on the print statement (see section The print Statement).


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5 Useful “One-liners”

Useful awk programs are often short, just a line or two. Here is a collection of useful, short programs to get you started. Some of these programs contain constructs that haven’t been covered yet. The description of the program will give you a good idea of what is going on, but please read the rest of the manual to become an awk expert!

awk '{ num_fields = num_fields + NF }
END { print num_fields }'

This program prints the total number of fields in all input lines.

awk 'length($0) > 80'

This program prints every line longer than 80 characters. The sole rule has a relational expression as its pattern, and has no action (so the default action, printing the record, is used).

awk 'NF > 0'

This program prints every line that has at least one field. This is an easy way to delete blank lines from a file (or rather, to create a new file similar to the old file but from which the blank lines have been deleted).

awk '{ if (NF > 0) print }'

This program also prints every line that has at least one field. Here we allow the rule to match every line, then decide in the action whether to print.

awk 'BEGIN { for (i = 1; i <= 7; i++)
print int(101 * rand()) }'

This program prints 7 random numbers from 0 to 100, inclusive.

ls -l files | awk '{ x += $4 } ; END { print "total bytes: " x }'

This program prints the total number of bytes used by files.

expand file | awk '{ if (x < length()) x = length() }
END { print "maximum line length is " x }'

This program prints the maximum line length of file. The input is piped through the expand program to change tabs into spaces, so the widths compared are actually the right–margin columns.


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6 Patterns

Patterns control the execution of rules: a rule is executed when its pattern matches the input record. The awk language provides several special patterns that are described in the sections that follow. Patterns include:

null

The empty pattern, which matches every input record. (See section The Empty Pattern.)

/regular expression/

A regular expression as a pattern. It matches when the text of the input record fits the regular expression. (See section Regular Expressions as Patterns.)

condexp

A single comparison expression. It matches when it is true. (See section Comparison Expressions as Patterns.)

BEGIN
END

Special patterns to supply start–up or clean–up information to awk. (See section Specifying Record Ranges With Patterns.)

pat1, pat2

A pair of patterns separated by a comma, specifying a range of records. (See section Specifying Record Ranges With Patterns.)

condexp1 boolean condexp2

A compound pattern, which combines expressions with the operators ‘and’, &&, and ‘or’, ||. (See section Boolean Operators and Patterns.)

! condexp

The pattern condexp is evaluated. Then the ! performs a boolean “not” or logical negation operation; if the input line matches the pattern in condexp then the associated action is not executed. If the input line did not match that pattern, then the action is executed. (See section Boolean Operators and Patterns.)

(expr)

Parentheses may be used to control how operators nest.

pat1 ? pat2 : pat3

The first pattern is evaluated. If it is true, the input line is tested against the second pattern, otherwise it is tested against the third. (See section Conditional Patterns.)


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6.1 The Empty Pattern

An empty pattern is considered to match every input record. For example, the program:

awk '{ print $1 }' BBS-list

prints just the first field of every record.


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6.2 Regular Expressions as Patterns

A regular expression, or regexp, is a way of describing classes of strings. When enclosed in slashes (/), it makes an awk pattern that matches every input record that contains a match for the regexp.

The simplest regular expression is a sequence of letters, numbers, or both. Such a regexp matches any string that contains that sequence. Thus, the regexp ‘foo’ matches any string containing ‘foo’. (More complicated regexps let you specify classes of similar strings.)


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6.2.1 How to use Regular Expressions

When you enclose ‘foo’ in slashes, you get a pattern that matches a record that contains ‘foo’. For example, this prints the second field of each record that contains ‘foo’ anywhere:

awk '/foo/ { print $2 }' BBS-list

Regular expressions can also be used in comparison expressions. Then you can specify the string to match against; it need not be the entire current input record. These comparison expressions can be used as patterns or in if and while statements.

exp ~ /regexp/

This is true if the expression exp (taken as a character string) is matched by regexp. The following example matches, or selects, all input records with the letter ‘J’ in the first field:

awk '$1 ~ /J/' inventory-shipped

So does this:

awk '{ if ($1 ~ /J/) print }' inventory-shipped
exp !~ /regexp/

This is true if the expression exp (taken as a character string) is not matched by regexp. The following example matches, or selects, all input records whose first field does not contain the letter ‘J’:

awk '$1 !~ /J/' inventory-shipped

The right hand side of a ~ or !~ operator need not be a constant regexp (i.e. a string of characters between ‘/’s). It can also be computed, or dynamic. For example:

identifier = "[A-Za-z_][A-Za-z_0-9]+"
$0 ~ identifier

sets identifier to a regexp that describes awk variable names, and tests if the input record matches this regexp.

A dynamic regexp may actually be any expression. The expression is evaluated, and the result is treated as a string that describes a regular expression.


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6.2.2 Regular Expression Operators

You can combine regular expressions with the following characters, called regular expression operators, or metacharacters, to increase the power and versatility of regular expressions. This is a table of metacharacters:

\

This is used to suppress the special meaning of a character when matching. For example:

\$

matches the character ‘$’.

^

This matches the beginning of the string or the beginning of a line within the string. For example:

^@chapter

matches the ‘@chapter’ at the beginning of a string, and can be used to identify chapter beginnings in Texinfo source files.

$

This is similar to ^, but it matches only at the end of a string or the end of a line within the string. For example:

/p$/

as a pattern matches a record that ends with a ‘p’.

.

This matches any single character except a newline. For example:

.P

matches any single character followed by a ‘P’ in a string. Using concatenation we can make regular expressions like ‘U.A’, which matches any three–character string that begins with ‘U’ and ends with ‘A’.

[…]

This is called a character set. It matches any one of a group of characters that are enclosed in the square brackets. For example:

[MVX]

matches any of the characters ‘M’, ‘V’, or ‘X’ in a string.

Ranges of characters are indicated by using a hyphen between the beginning and ending characters, and enclosing the whole thing in brackets. For example:

[0-9]

matches any string that contains a digit.

Note that special patterns have to be followed to match the characters, ‘]’, ‘-’, and ‘^’ when they are enclosed in the square brackets. To match a ‘]’, make it the first character in the set. For example:

[]d]

matches either ‘]’, or ‘d’.

To match ‘-’, write it as ‘---’, which is a range containing only ‘-’. You may also make the ‘-’ be the first or last character in the set. To match ‘^’, make it any character except the first one of a set.

[^ …]

This is the complemented character set. The first character after the ‘[must be a ‘^’. This matches any characters except those in the square brackets. For example:

[^0-9]

matches any characters that are not digits.

|

This is the alternation operator and it is used to specify alternatives. For example:

^P|[0-9]

matches any string that matches either ‘^P’ or ‘[0-9]’. This means it matches any string that contains a digit or starts with ‘P’.

(…)

Parentheses are used for grouping in regular expressions as in arithmetic. They can be used to concatenate regular expressions containing the alternation operator, ‘|’.

*

This symbol means that the preceding regular expression is to be repeated as many times as possible to find a match. For example:

ph*

applies the * symbol to the preceding ‘h’ and looks for matches to one ‘p’ followed by any number of ‘h’’s. This will also match just ‘p’ if no ‘h’’s are present.

The * means repeat the smallest possible preceding expression in order to find a match. The awk language processes a * by matching as many repetitions as can be found. For example:

awk '/\(c[ad][ad]*r x\)/ { print }' sample

matches every record in the input containing a string of the form ‘(car x)’, ‘(cdr x)’, ‘(cadr x)’, and so on.

+

This symbol is similar to *, but the preceding expression must be matched at least once. This means that:

wh+y

would match ‘why’ and ‘whhy’ but not ‘wy’, whereas ‘wh*y’ would match all three of these strings. And this is a simpler way of writing the last ‘*’ example:

awk '/\(c[ad]+r x\)/ { print }' sample
?

This symbol is similar to *, but the preceding expression can be matched once or not at all. For example:

fe?d

will match ‘fed’ or ‘fd’, but nothing else.

In regular expressions, the *, +, and ? operators have the highest precedence, followed by concatenation, and finally by |. As in arithmetic, parentheses can change how operators are grouped.

Any other character stands for itself. However, it is important to note that case in regular expressions is significant, both when matching ordinary (i.e. non–metacharacter) characters, and inside character sets. Thus a ‘w’ in a regular expression matches only a lower case ‘w’ and not either an uppercase or lowercase ‘w’. When you want to do a case–independent match, you have to use a character set: ‘[Ww]’.


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6.3 Comparison Expressions as Patterns

Comparison patterns use relational operators to compare strings or numbers. The relational operators are the same as in C. Here is a table of them:

x < y

True if x is less than y.

x <= y

True if x is less than or equal to y.

x > y

True if x is greater than y.

x >= y

True if x is greater than or equal to y.

x == y

True if x is equal to y.

x != y

True if x is not equal to y.

Comparison expressions can be used as patterns to control whether a rule is executed. The expression is evaluated for each input record read, and the pattern is considered matched if the condition is true.

The operands of a relational operator are compared as numbers if they are both numbers. Otherwise they are converted to, and compared as, strings (see section Conversion of Strings and Numbers). Strings are compared by comparing the first character of each, then the second character of each, and so on. Thus, "10" is less than "9".

The following example prints the second field of each input record whose first field is precisely ‘foo’.

awk '$1 == "foo" { print $2 }' BBS-list

Contrast this with the following regular expression match, which would accept any record with a first field that contains ‘foo’:

awk '$1 ~ "foo" { print $2 }' BBS-list

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6.4 Specifying Record Ranges With Patterns

A range pattern is made of two patterns separated by a comma: ‘begpat, endpat’. It matches ranges of consecutive input records. The first pattern begpat controls where the range begins, and the second one endpat controls where it ends.

They work as follows: begpat is matched against every input record; when a record matches begpat, the range pattern becomes turned on. The range pattern matches this record. As long as it stays turned on, it automatically matches every input record read. But meanwhile, endpat is matched against every input record, and when it matches, the range pattern is turned off again for the following record. Now we go back to checking begpat against each record. For example:

awk '$1 == "on", $1 == "off"'

prints every record between on/off pairs, inclusive.

The record that turns on the range pattern and the one that turns it off both match the range pattern. If you don’t want to operate on these records, you can write if statements in the rule’s action to distinguish them.

It is possible for a pattern to be turned both on and off by the same record, if both conditions are satisfied by that record. Then the action is executed for just that record.


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6.5 BEGIN and END Special Patterns

BEGIN and END are special patterns. They are not used to match input records. Rather, they are used for supplying start–up or clean–up information to your awk script. A BEGIN rule is executed, once, before the first input record has been read. An END rule is executed, once, after all the input has been read. For example:

awk 'BEGIN { print "Analysis of ``foo'' program" }
     /foo/ { ++foobar }
     END   { print "``foo'' appears " foobar " times." }' BBS-list

This program finds out how many times the string ‘foo’ appears in the input file ‘BBS-list’. The BEGIN pattern prints out a title for the report. There is no need to use the BEGIN pattern to initialize the counter foobar to zero, as awk does this for us automatically (see section Variables). The second rule increments the variable foobar every time a record containing the pattern ‘foo’ is read. The last rule prints out the value of foobar at the end of the run.

The special patterns BEGIN and END do not combine with other kinds of patterns.

An awk program may have multiple BEGIN and/or END rules. The contents of multiple BEGIN or END rules are treated as if they had been enclosed in a single rule, in the order that the rules are encountered in the awk program. (This feature was introduced with the new version of awk.)

Multiple BEGIN and END sections are also useful for writing library functions that need to do initialization and/or cleanup of their own. Note that the order in which library functions are named on the command line will affect the order in which their BEGIN and END rules will be executed. Therefore you have to be careful how you write your library functions. (See section Details of the awk Command Line, for more information on using library functions.)

If an awk program only has a BEGIN rule, and no other rules, then the program will exit after the BEGIN rule has been run. Older versions of awk used to read their input until end of file was seen. However, if an END rule exists as well, then the input will be read, even if there are no other rules in the program.

BEGIN and END rules must have actions; there is no default action for these rules since there is no current record when they run.


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6.6 Boolean Operators and Patterns

A boolean pattern is a combination of other patterns using the boolean operators “or” (‘||’), “and” (‘&&’), and “not” (‘!’), along with parentheses to control nesting. Whether the boolean pattern matches an input record is computed from whether its subpatterns match.

The subpatterns of a boolean pattern can be regular expressions, matching expressions, comparisons, or other boolean combinations of such. Range patterns cannot appear inside boolean operators, since they don’t make sense for classifying a single record, and neither can the special patterns BEGIN and END, which never match any input record.

Here are descriptions of the three boolean operators.

pat1 && pat2

Matches if both pat1 and pat2 match by themselves. For example, the following command prints all records in the input file ‘BBS-list’ that contain both ‘2400’ and ‘foo’.

awk '/2400/ && /foo/' BBS-list

Whether pat2 matches is tested only if pat1 succeeds. This can make a difference when pat2 contains expressions that have side effects: in the case of ‘/foo/ && ($2 == bar++)’, the variable bar is not incremented if there is no ‘foo’ in the record.

pat1 || pat2

Matches if at least one of pat1 and pat2 matches the current input record. For example, the following command prints all records in the input file ‘BBS-list’ that contain either2400’ or ‘foo’, or both.

awk '/2400/ || /foo/' BBS-list

Whether pat2 matches is tested only if pat1 fails to match. This can make a difference when pat2 contains expressions that have side effects.

!pat

Matches if pat does not match. For example, the following command prints all records in the input file ‘BBS-list’ that do not contain the string ‘foo’.

awk '! /foo/' BBS-list

Note that boolean patterns are built from other patterns just as boolean expressions are built from other expressions (see section Boolean Operators). Any boolean expression is also a valid boolean pattern. But the converse is not true: simple regular expression patterns such as ‘/foo/’ are not allowed in boolean expressions. Regular expressions can appear in boolean expressions only in conjunction with the matching operators, ‘~’ and ‘!~’.


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6.7 Conditional Patterns

Patterns may use a conditional expression much like the conditional expression of the C language. This takes the form:

pat1 ? pat2 : pat3

The first pattern is evaluated. If it evaluates to true, then the input record is tested against pat2. Otherwise it is tested against pat3. The conditional pattern matches if pat2 or pat3 (whichever one is selected) matches.


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7 Actions: The Basics

The action part of an awk rule tells awk what to do once a match for the pattern is found. An action consists of one or more awk statements, enclosed in curly braces (‘{’ and ‘}’). The curly braces must be used even if the action contains only one statement, or even if it contains no statements at all. Action statements are separated by newlines or semicolons.

Besides the print statements already covered (see section Printing Output), there are four kinds of action statements: expressions, control statements, compound statements, and function definitions.


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8 Actions: Expressions

Expressions are the basic building block of awk actions. An expression evaluates to a value, which you can print, test, store in a variable or pass to a function.

But, beyond that, an expression can assign a new value to a variable or a field, with an assignment operator.

An expression can serve as a statement on its own. Most other action statements are made up of various combinations of expressions. As in other languages, expressions in awk include variables, array references, constants, and function calls, as well as combinations of these with various operators.


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8.1 Constant Expressions

There are two types of constants: numeric constants and string constants.

The numeric constant is a number. This number can be an integer, a decimal fraction, or a number in scientific (exponential) notation. Note that all numeric values are represented within awk in double–precision floating point. Here are some examples of numeric constants, which all have the same value:

105
1.05e+2
1050e-1

A string constant consists of a sequence of characters enclosed in double–quote marks. For example:

"parrot"

represents the string constant ‘parrot’. Strings in gawk can be of any length and they can contain all the possible 8–bit ASCII characters including ASCII NUL. Other awk implementations may have difficulty with some character codes.

Some characters cannot be included literally in a string. You represent them instead with escape sequences, which are character sequences beginning with a backslash (‘\’).

One use of the backslash is to include double–quote characters in a string. Since a plain double–quote would end the string, you must use ‘\"’. Backslash itself is another character that can’t be included normally; you write ‘\\’ to put one backslash in the string.

Another use of backslash is to represent unprintable characters such as newline. While there is nothing to stop you from writing these characters directly in an awk program, they may look ugly.

\b

Represents a backspaced, ‘H’.

\f

Represents a formfeed, ‘L’.

\n

Represents a newline, ‘J’.

\r

Represents a carriage return, ‘M’.

\t

Represents a horizontal tab, ‘I’.

\v

Represents a vertical tab, ‘K’.

\nnn

Represents the octal value nnn, where nnn is one to three digits between 0 and 7. For example, the code for the ASCII ESC (escape) character is ‘\033’.


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8.2 Variables

Variables let you give names to values and refer to them later. You have already seen variables in many of the examples. The name of a variable must be a sequence of letters, digits and underscores, but it may not begin with a digit. Case is significant in variable names; a and A are distinct variables.

A variable name is a valid expression by itself; it represents the variable’s current value. Variables are given new values with assignment operators and increment operators. See section Assignment Operators.

A few variables have special built–in meanings, such as FS, the field separator, and NF, the number of fields in the current input record. See section Special Variables, for a list of them. Special variables can be used and assigned just like all other variables, but their values are also used or changed automatically by awk. Each special variable’s name is made entirely of upper case letters.

Variables in awk can be assigned either numeric values or string values. By default, variables are initialized to the null string, which has the numeric value zero. So there is no need to “initialize” each variable explicitly in awk, the way you would need to do in C or most other traditional programming languages.


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8.3 Arithmetic Operators

The awk language uses the common arithmetic operators when evaluating expressions. All of these arithmetic operators follow normal precedence rules, and work as you would expect them to. This example divides field 3 by field 4, adds field 2, stores the result into field 1, and prints the results:

awk '{ $1 = $2 + $3 / $4; print }' inventory-shipped

The arithmetic operators in awk are:

x + y

Addition.

x - y

Subtraction.

- x

Negation.

x / y

Division. Since all numbers in awk are double–precision floating point, the result is not rounded to an integer: ‘3 / 4’ has the value 0.75.

x * y

Multiplication.

x % y

Remainder. The quotient is rounded toward zero to an integer, multiplied by y and this result is subtracted from x. This operation is sometimes known as “trunc–mod”. The following relation always holds:

b * int(a / b) + (a % b) == a

One undesirable effect of this definition of remainder is that x % y is negative if x is negative. Thus,

-17 % 8 = -1
x ^ y
x ** y

Exponentiation: x raised to the y power. ‘2 ^ 3’ has the value 8. The character sequence ‘**’ is equivalent to ‘^’.


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8.4 String Concatenation

There is only one string operation: concatenation. It does not have a specific operator to represent it. Instead, concatenation is performed by writing expressions next to one another, with no operator. For example:

awk '{ print "Field number one: " $1 }' BBS-list

produces, for the first record in ‘BBS-list’:

Field number one: aardvark

If you hadn’t put the space after the ‘:’, the line would have run together. For example:

awk '{ print "Field number one:" $1 }' BBS-list

produces, for the first record in ‘BBS-list’:

Field number one:aardvark

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8.5 Comparison Expressions

Comparison expressions use relational operators to compare strings or numbers. The relational operators are the same as in C. Here is a table of them:

x < y

True if x is less than y.

x <= y

True if x is less than or equal to y.

x > y

True if x is greater than y.

x >= y

True if x is greater than or equal to y.

x == y

True if x is equal to y.

x != y

True if x is not equal to y.

x ~ regexp

True if regexp regexp matches the string x.

x !~ regexp

True if regexp regexp does not match the string x.

subscript in array

True if array array has an element with the subscript subscript.

Comparison expressions have the value 1 if true and 0 if false.

The operands of a relational operator are compared as numbers if they are both numbers. Otherwise they are converted to, and compared as, strings (see section Conversion of Strings and Numbers). Strings are compared by comparing the first character of each, then the second character of each, and so on. Thus, "10" is less than "9".

For example,

$1 == "foo"

has the value of 1, or is true, if the first field of the current input record is precisely ‘foo’. By contrast,

$1 ~ /foo/

has the value 1 if the first field contains ‘foo’.


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8.6 Boolean Operators

A boolean expression is combination of comparison expressions or matching expressions, using the boolean operators “or” (‘||’), “and” (‘&&’), and “not” (‘!’), along with parentheses to control nesting. The truth of the boolean expression is computed by combining the truth values of the component expressions.

Boolean expressions can be used wherever comparison and matching expressions can be used. They can be used in if and while statements. They have numeric values (1 if true, 0 if false).

In addition, every boolean expression is also a valid boolean pattern, so you can use it as a pattern to control the execution of rules.

Here are descriptions of the three boolean operators, with an example of each. It may be instructive to compare these examples with the analogous examples of boolean patterns (see section Boolean Operators and Patterns), which use the same boolean operators in patterns instead of expressions.

boolean1 && boolean2

True if both boolean1 and boolean2 are true. For example, the following statement prints the current input record if it contains both ‘2400’ and ‘foo’.

if ($0 ~ /2400/ && $0 ~ /foo/) print

The subexpression boolean2 is evaluated only if boolean1 is true. This can make a difference when boolean2 contains expressions that have side effects: in the case of ‘$0 ~ /foo/ && ($2 == bar++)’, the variable bar is not incremented if there is no ‘foo’ in the record.

boolean1 || boolean2

True if at least one of boolean1 and boolean2 is true. For example, the following command prints all records in the input file ‘BBS-list’ that contain either2400’ or ‘foo’, or both.

awk '{ if ($0 ~ /2400/ || $0 ~ /foo/) print }' BBS-list

The subexpression boolean2 is evaluated only if boolean1 is true. This can make a difference when boolean2 contains expressions that have side effects.

!boolean

True if boolean is false. For example, the following program prints all records in the input file ‘BBS-list’ that do not contain the string ‘foo’.

awk '{ if (! ($0 ~ /foo/)) print }' BBS-list

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8.7 Assignment Operators

An assignment is an expression that stores a new value into a variable. For example, let’s assign the value 1 to the variable z:

z = 1

After this expression is executed, the variable z has the value 1. Whatever old value z had before the assignment is forgotten.

The = sign is called an assignment operator. It is the simplest assignment operator because the value of the right–hand operand is stored unchanged.

The left–hand operand of an assignment can be a variable (see section Variables), a field (see section Changing the Contents of a Field) or an array element (see section Actions: Using Arrays in awk). These are all called lvalues, which means they can appear on the left side of an assignment operator. The right–hand operand may be any expression; it produces the new value which the assignment stores in the specified variable, field or array element.

Assignments can store string values also. For example, this would store the value "this food is good" in the variable message:

thing = "food"
predicate = "good"
message = "this " thing " is " predicate

(This also illustrates concatenation of strings.)

It is important to note that variables do not have permanent types. The type of a variable is simply the type of whatever value it happens to hold at the moment. In the following program fragment, the variable foo has a numeric value at first, and a string value later on:

foo = 1
print foo
foo = "bar"
print foo

When the second assignment gives foo a string value, the fact that it previously had a numeric value is forgotten.

An assignment is an expression, so it has a value: the same value that is assigned. Thus, ‘z = 1’ as an expression has the value 1. One consequence of this is that you can write multiple assignments together:

x = y = z = 0

stores the value 0 in all three variables. It does this because the value of ‘z = 0’, which is 0, is stored into y, and then the value of ‘y = z = 0’, which is 0, is stored into x.

You can use an assignment anywhere an expression is called for. For example, it is valid to write ‘x != (y = 1)’ to set y to 1 and then test whether x equals 1. But this style tends to make programs hard to read; except in a one–shot program, you should rewrite it to get rid of such nesting of assignments. This is never very hard.

Aside from =, there are several other assignment operators that do arithmetic with the old value of the variable. For example, the operator += computes a new value by adding the right–hand value to the old value of the variable. Thus, the following assignment adds 5 to the value of foo:

foo += 5

This is precisely equivalent to the following:

foo = foo + 5

Use whichever one makes the meaning of your program clearer.

Here is a table of the arithmetic assignment operators. In each case, the right–hand operand is an expression whose value is converted to a number.

lvalue += increment

Adds increment to the value of lvalue to make the new value of lvalue.

lvalue -= decrement

Subtracts decrement from the value of lvalue.

lvalue *= coefficient

Multiplies the value of lvalue by coefficient.

lvalue /= quotient

Divides the value of lvalue by quotient.

lvalue %= modulus

Sets lvalue to its remainder by modulus.

lvalue ^= power
lvalue **= power

Raises lvalue to the power power.


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8.8 Increment Operators

Increment operators increase or decrease the value of a variable by 1. You could do the same thing with an assignment operator, so the increment operators add no power to the awk language; but they are convenient abbreviations for something very common.

The operator to add 1 is written ++. There are two ways to use this operator: pre–incrementation and post–incrementation.

To pre–increment a variable v, write ++v. This adds 1 to the value of v and that new value is also the value of this expression. The assignment expression v += 1 is completely equivalent.

Writing the ++ after the variable specifies post–increment. This increments the variable value just the same; the difference is that the value of the increment expression itself is the variable’s old value. Thus, if foo has value 4, then the expression foo++ has the value 4, but it changes the value of foo to 5.

The post–increment foo++ is nearly equivalent to writing ‘(foo += 1) - 1’. It is not perfectly equivalent because all numbers in awk are floating point: in floating point, foo + 1 - 1 does not necessarily equal foo. But the difference will be minute as long as you stick to numbers that are fairly small (less than a trillion).

Any lvalue can be incremented. Fields and array elements are incremented just like variables.

The decrement operator -- works just like ++ except that it subtracts 1 instead of adding. Like ++, it can be used before the lvalue to pre–decrement or after it to post–decrement.

Here is a summary of increment and decrement expressions.

++lvalue

This expression increments lvalue and the new value becomes the value of this expression.

lvalue++

This expression causes the contents of lvalue to be incremented. The value of the expression is the old value of lvalue.

--lvalue

Like ++lvalue, but instead of adding, it subtracts. It decrements lvalue and delivers the value that results.

lvalue--

Like lvalue++, but instead of adding, it subtracts. It decrements lvalue. The value of the expression is the old value of lvalue.


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8.9 Conversion of Strings and Numbers

Strings are converted to numbers, and numbers to strings, if the context of your awk statement demands it. For example, if the values of foo or bar in the expression foo + bar happen to be strings, they are converted to numbers before the addition is performed. If numeric values appear in string concatenation, they are converted to strings. Consider this:

two = 2; three = 3
print (two three) + 4

This eventually prints the (numeric) value ‘27’. The numeric variables two and three are converted to strings and concatenated together, and the resulting string is converted back to a number before adding ‘4’. The resulting numeric value ‘27’ is printed.

If, for some reason, you need to force a number to be converted to a string, concatenate the null string with that number. To force a string to be converted to a number, add zero to that string. Strings that can’t be interpreted as valid numbers are given the numeric value zero.

The exact manner in which numbers are converted into strings is controlled by the awk special variable OFMT (see section Special Variables). Numbers are converted using a special version of the sprintf function (see section Built–in functions) with OFMT as the format specifier.

OFMT’s default value is "%.6g", which prints a value with at least six significant digits. You might want to change it to specify more precision, if your version of awk uses double precision arithmetic. Double precision on most modern machines gives you 16 or 17 decimal digits of precision.

Strange results can happen if you set OFMT to a string that doesn’t tell sprintf how to format floating point numbers in a useful way. For example, if you forget the ‘%’ in the format, all numbers will be converted to the same constant string.


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8.10 Conditional Expressions

A conditional expression is a special kind of expression with three operands. It allows you to use one expression’s value to select one of two other expressions.

The conditional expression looks the same as in the C language:

selector ? if-true-exp : if-false-exp

There are three subexpressions. The first, selector, is always computed first. If it is “true” (not zero) then if-true-exp is computed next and its value becomes the value of the whole expression. Otherwise, if-false-exp is computed next and its value becomes the value of the whole expression.

For example, this expression produces the absolute value of x:

x > 0 ? x : -x

Each time the conditional expression is computed, exactly one of if-true-exp and if-false-exp is computed; the other is ignored. This is important when the expressions contain side effects. For example, this conditional expression examines element i of either array a or array b, and increments i.

x == y ? a[i++] : b[i++]

This is guaranteed to increment i exactly once, because each time one or the other of the two increment expressions will be executed and the other will not be.


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8.11 Function Calls

A function is a name for a particular calculation. Because it has a name, you can ask for it by name at any point in the program. For example, the function sqrt computes the square root of a number.

A fixed set of functions are built in, which means they are available in every awk program. The sqrt function is one of these. See section Built–in functions, for a list of built–in functions and their descriptions. In addition, you can define your own functions in the program for use elsewhere in the same program. See section User–defined Functions, for how to do this.

The way to use a function is with a function call expression, which consists of the function name followed by a list of arguments in parentheses. The arguments are expressions which give the raw materials for the calculation that the function will do. When there is more than one argument, they are separated by commas. If there are no arguments, write just ‘()’ after the function name.

Do not put any space between the function name and the open–parenthesis! A user–defined function name looks just like the name of a variable, and space would make the expression look like concatenation of a variable with an expression inside parentheses. Space before the parenthesis is harmless with built–in functions, but it is best not to get into the habit of using space, lest you do likewise for a user–defined function one day by mistake.

Each function needs a particular number of arguments. For example, the sqrt function must be called with a single argument, like this:

sqrt(argument)

The argument is the number to take the square root of.

Some of the built–in functions allow you to omit the final argument. If you do so, they will use a reasonable default. See section Built–in functions, for full details. If arguments are omitted in calls to user–defined functions, then those arguments are treated as local variables, initialized to the null string (see section User–defined Functions).

Like every other expression, the function call has a value, which is computed by the function based on the arguments you give it. In this example, the value of sqrt(argument) is the square root of the argument. A function can also have side effects, such as assigning the values of certain variables or doing I/O.

Here is a command to read numbers, one number per line, and print the square root of each one:

awk '{ print "The square root of", $1, "is", sqrt($1) }'

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9 Actions: Statements

Control statements such as if, while, and so on control the flow of execution in awk programs. Most of the control statements in awk are patterned on similar statements in C.

The simplest kind of statement is an expression. The other kinds of statements start with special keywords such as if and while, to distinguish them from simple expressions.

In all the examples in this chapter, body can be either a single statement or a group of statements. Groups of statements are enclosed in braces, and separated by newlines or semicolons.


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9.1 The if Statement

The if-else statement is awk’s decision–making statement. The else part of the statement is optional.

if (condition) body1 else body2

Here condition is an expression that controls what the rest of the statement will do. If condition is true, body1 is executed; otherwise, body2 is executed (assuming that the else clause is present). The condition is considered true if it is nonzero or nonnull.

Here is an example:

awk '{ if (x % 2 == 0)
           print "x is even"
       else
           print "x is odd" }'

In this example, if the statement containing x is found to be true (that is, x is divisible by 2), then the first print statement is executed, otherwise the second print statement is performed.

If the else appears on the same line as body1, and body1 is a single statement, then a semicolon must separate body1 from else. To illustrate this, let’s rewrite the previous example:

awk '{ if (x % 2 == 0) print "x is even"; else
        print "x is odd" }'

If you forget the ‘;’, awk won’t be able to parse it, and you will get a syntax error.

We would not actually write this example this way, because a human reader might fail to see the else if it were not the first thing on its line.


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9.2 The while Statement

In programming, a loop means a part of a program that is (or at least can be) executed two or more times in succession.

The while statement is the simplest looping statement in awk. It repeatedly executes a statement as long as a condition is true. It looks like this:

while (condition)
  body

Here body is a statement that we call the body of the loop, and condition is an expression that controls how long the loop keeps running.

The first thing the while statement does is test condition. If condition is true, it executes the statement body. After body has been executed, condition is tested again and this process is repeated until condition is no longer true. If condition is initially false, the body of the loop is never executed.

awk '{ i = 1
       while (i <= 3) {
           print $i
           i++
       }
}'

This example prints the first three input fields, one per line.

The loop works like this: first, the value of i is set to 1. Then, the while tests whether i is less than or equal to three. This is the case when i equals one, so the i-th field is printed. Then the i++ increments the value of i and the loop repeats.

When i reaches 4, the loop exits. Here body is a compound statement enclosed in braces. As you can see, a newline is not required between the condition and the body; but using one makes the program clearer unless the body is a compound statement or is very simple.


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9.3 The dowhile Statement

The do loop is a variation of the while looping statement. The do loop executes the body once, then repeats body as long as condition is true. It looks like this:

do
  body
while (condition)

Even if condition is false at the start, body is executed at least once (and only once, unless executing body makes condition true). Contrast this with the corresponding while statement:

while (condition)
  body

This statement will not execute body even once if condition is false to begin with.

Here is an example of a do statement:

awk '{ i = 1
       do {
          print $0
          i++
       } while (i <= 10)
}'

prints each input record ten times. It isn’t a very realistic example, since in this case an ordinary while would do just as well. But this is normal; there is only occasionally a real use for a do statement.


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9.4 The for Statement

The for statement makes it more convenient to count iterations of a loop. The general form of the for statement looks like this:

for (initialization; condition; increment)
  body

This statement starts by executing initialization. Then, as long as condition is true, it repeatedly executes body and then increment. Typically initialization sets a variable to either zero or one, increment adds 1 to it, and condition compares it against the desired number of iterations.

Here is an example of a for statement:

awk '{ for (i = 1; i <= 3; i++)
          print $i
}'

This prints the first three fields of each input record, one field per line.

In the for statement, body stands for any statement, but initialization, condition and increment are just expressions. You cannot set more than one variable in the initialization part unless you use a multiple assignment statement such as x = y = 0, which is possible only if all the initial values are equal. (But you can initialize additional variables by writing their assignments as separate statements preceding the for loop.)

The same is true of the increment part; to increment additional variables, you must write separate statements at the end of the loop. The C compound expression, using C’s comma operator, would be useful in this context, but it is not supported in awk.

Most often, increment is an increment expression, as in the example above. But this is not required; it can be any expression whatever. For example, this statement prints odd numbers from 1 to 100:

# print odd numbers from 1 to 100
for (i = 1; i <= 100; i += 2)
  print i

Any of the three expressions following for may be omitted if you don’t want it to do anything. Thus, ‘for (;x > 0;)’ is equivalent to ‘while (x > 0)’. If the condition part is empty, it is treated as true, effectively yielding an infinite loop.

In most cases, a for loop is an abbreviation for a while loop, as shown here:

initialization
while (condition) {
  body
  increment
}

(The only exception is when the continue statement (see section The continue Statement) is used inside the loop; changing a for statement to a while statement in this way can change the effect of the continue statement inside the loop.)

The awk language has a for statement in addition to a while statement because often a for loop is both less work to type and more natural to think of. Counting the number of iterations is very common in loops. It can be easier to think of this counting as part of looping rather than as something to do inside the loop.

The next section has more complicated examples of for loops.

There is an alternate version of the for loop, for iterating over all the indices of an array:

for (i in array)
    process array[i]

See section Actions: Using Arrays in awk, for more information on this version of the for loop.


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9.5 The break Statement

The break statement jumps out of the innermost for, while, or dowhile loop that encloses it. The following example finds the smallest divisor of any number, and also identifies prime numbers:

awk '# find smallest divisor of num
     { num = $1
       for (div = 2; div*div <= num; div++)
         if (num % div == 0)
           break
       if (num % div == 0)
         printf "Smallest divisor of %d is %d\n", num, div
       else
         printf "%d is prime\n", num  }'

When the remainder is zero in the first if statement, awk immediately breaks out of the containing for loop. This means that awk proceeds immediately to the statement following the loop and continues processing. (This is very different from the exit statement (see section The exit Statement) which stops the entire awk program.)

Here is another program equivalent to the previous one. It illustrates how the condition of a for or while could just as well be replaced with a break inside an if:

awk '# find smallest divisor of num
     { num = $1
       for (div = 2; ; div++) {
         if (num % div == 0) {
           printf "Smallest divisor of %d is %d\n", num, div
           break
         }
         if (div*div > num) {
           printf "%d is prime\n", num
           break
         }
       }
}'

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9.6 The continue Statement

The continue statement, like break, is used only inside for, while, and dowhile loops. It skips over the rest of the loop body, causing the next cycle around the loop to begin immediately. Contrast this with break, which jumps out of the loop altogether. Here is an example:

# print names that don't contain the string "ignore"

# first, save the text of each line
{ names[NR] = $0 }

# print what we're interested in
END {
   for (x in names) {
       if (names[x] ~ /ignore/)
           continue
       print names[x]
   }
}

If any of the input records contain the string ‘ignore’, this example skips the print statement and continues back to the first statement in the loop.

This isn’t a practical example of continue, since it would be just as easy to write the loop like this:

for (x in names)
  if (x !~ /ignore/)
    print x

The continue statement causes awk to skip the rest of what is inside a for loop, but it resumes execution with the increment part of the for loop. The following program illustrates this fact:

awk 'BEGIN {
     for (x = 0; x <= 20; x++) {
         if (x == 5)
             continue
         printf ("%d ", x)
     }
     print ""
}'

This program prints all the numbers from 0 to 20, except for 5, for which the printf is skipped. Since the increment x++ is not skipped, x does not remain stuck at 5.


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9.7 The next Statement

The next statement forces awk to immediately stop processing the current record and go on to the next record. This means that no further rules are executed for the current record. The rest of the current rule’s action is not executed either.

Contrast this with the effect of the getline function (see section Explicit Input with getline). That too causes awk to read the next record immediately, but it does not alter the flow of control in any way. So the rest of the current action executes with a new input record.

At the grossest level, awk program execution is a loop that reads an input record and then tests each rule pattern against it. If you think of this loop as a for statement whose body contains the rules, then the next statement is analogous to a continue statement: it skips to the end of the body of the loop, and executes the increment (which reads another record).

For example, if your awk program works only on records with four fields, and you don’t want it to fail when given bad input, you might use the following rule near the beginning of the program:

NF != 4 {
  printf ("line %d skipped: doesn't have 4 fields", FNR) > "/dev/tty"
  next
}

so that the following rules will not see the bad record. The error message is redirected to ‘/dev/tty’ (the terminal), so that it won’t get lost amid the rest of the program’s regular output.


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9.8 The exit Statement

The exit statement causes awk to immediately stop executing the current rule and to stop processing input; any remaining input is ignored.

If an exit statement is executed from a BEGIN rule the program stops processing everything immediately. No input records will be read. However, if an END rule is present, it will be executed (see section BEGIN and END Special Patterns).

If exit is used as part of an END rule, it causes the program to stop immediately.

An exit statement that is part an ordinary rule (that is, not part of a BEGIN or END rule) stops the execution of any further automatic rules, but the END rule is executed if there is one. If you don’t want the END rule to do its job in this case, you can set a variable to nonzero before the exit statement, and check that variable in the END rule.

If an argument is supplied to exit, its value is used as the exit status code for the awk process. If no argument is supplied, exit returns status zero (success).

For example, let’s say you’ve discovered an error condition you really don’t know how to handle. Conventionally, programs report this by exiting with a nonzero status. Your awk program can do this using an exit statement with a nonzero argument. Here’s an example of this:

BEGIN {
       if (("date" | getline date_now) < 0) {
         print "Can't get system date"
         exit 4
       }
}

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10 Actions: Using Arrays in awk

An array is a table of various values, called elements. The elements of an array are distinguished by their indices. Names of arrays in awk are strings of alphanumeric characters and underscores, just like regular variables.

You cannot use the same identifier as both a variable and as an array name in one awk program.


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10.1 Introduction to Arrays

The awk language has one–dimensional arrays for storing groups of related strings or numbers. Each array must have a name; valid array names are the same as valid variable names, and they do conflict with variable names: you can’t have both an array and a variable with the same name at any point in an awk program.

Arrays in awk superficially resemble arrays in other programming languages; but there are fundamental differences. In awk, you don’t need to declare the size of an array before you start to use it. What’s more, in awk any number or even a string may be used as an array index.

In most other languages, you have to declare an array and specify how many elements or components it has. In such languages, the declaration causes a contiguous block of memory to be allocated for that many elements. An index in the array must be a positive integer; for example, the index 0 specifies the first element in the array, which is actually stored at the beginning of the block of memory. Index 1 specifies the second element, which is stored in memory right after the first element, and so on. It is impossible to add more elements to the array, because it has room for only as many elements as you declared. (Some languages have arrays whose first index is 1, others require that you specify both the first and last index when you declare the array. In such a language, an array could be indexed, for example, from -3 to 17.) A contiguous array of four elements might look like this, conceptually, if the element values are 8, "foo", "" and 30:

+---------+---------+--------+---------+
|    8    |  "foo"  |   ""   |    30   |    value
+---------+---------+--------+---------+
     0         1         2         3        index

Only the values are stored; the indices are implicit from the order of the values. 8 is the value at index 0, because 8 appears in the position with 0 elements before it.

Arrays in awk are different: they are associative. This means that each array is a collection of pairs: an index, and its corresponding array element value:

Element 4     Value 30
Element 2     Value "foo"
Element 1     Value 8
Element 3     Value ""

We have shown the pairs in jumbled order because their order doesn’t mean anything.

One advantage of an associative array is that new pairs can be added at any time. For example, suppose we add to that array a tenth element whose value is "number ten". The result is this:

Element 10    Value "number ten"
Element 4     Value 30
Element 2     Value "foo"
Element 1     Value 8
Element 3     Value ""

Now the array is sparse (i.e. some indices are missing): it has elements number 4 and 10, but doesn’t have an element 5, 6, 7, 8, or 9.

Another consequence of associative arrays is that the indices don’t have to be positive integers. Any number, or even a string, can be an index. For example, here is an array which translates words from English into French:

Element "dog" Value "chien"
Element "cat" Value "chat"
Element "one" Value "un"
Element 1     Value "un"

Here we decided to translate the number 1 in both spelled–out and numeral form—thus illustrating that a single array can have both numbers and strings as indices.

When awk creates an array for you, e.g. with the split built–in function (see section Built–in Functions for String Manipulation), that array’s indices start at the number one.


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10.2 Referring to an Array Element

The principal way of using an array is to refer to one of its elements. An array reference is an expression which looks like this:

array[index]

Here array is the name of an array. The expression index is the index of the element of the array that you want. The value of the array reference is the current value of that array element.

For example, ‘foo[4.3]’ is an expression for the element of array foo at index 4.3.

If you refer to an array element that has no recorded value, the value of the reference is "", the null string. This includes elements to which you have not assigned any value, and elements that have been deleted (see section The delete Statement). Such a reference automatically creates that array element, with the null string as its value. (In some cases, this is unfortunate, because it might waste memory inside awk).

You can find out if an element exists in an array at a certain index with the expression:

index in array

This expression tests whether or not the particular index exists, without the side effect of creating that element if it is not present. The expression has the value 1 (true) if array[subscript] exists, and 0 (false) if it does not exist.

For example, to find out whether the array frequencies contains the subscript "2", you would ask:

if ("2" in frequencies) print "Subscript \"2\" is present."

Note that this is not a test of whether or not the array frequencies contains an element whose value is "2". (There is no way to that except to scan all the elements.) Also, this does not create frequencies["2"], while the following (incorrect) alternative would:

if (frequencies["2"] != "") print "Subscript \"2\" is present."

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10.3 Assigning Array Elements

Array elements are lvalues: they can be assigned values just like awk variables:

array[subscript] = value

Here array is the name of your array. The expression subscript is the index of the element of the array that you want to assign a value. The expression value is the value you are assigning to that element of the array.


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10.4 Basic Example of an Array

The following program takes a list of lines, each beginning with a line number, and prints them out in order of line number. The line numbers are not in order, however, when they are first read: they are scrambled. This program sorts the lines by making an array using the line numbers as subscripts. It then prints out the lines in sorted order of their numbers. It is a very simple program, and will get confused if it encounters repeated numbers, gaps, or lines that don’t begin with a number.

BEGIN {
  max=0
}

{
  if ($1 > max)
    max = $1
  arr[$1] = $0
}

END {
  for (x = 1; x <= max; x++)
    print arr[x]
}

The first rule just initializes the variable max. (This is not strictly necessary, since an uninitialized variable has the null string as its value, and the null string is effectively zero when used in a context where a number is required.)

The second rule keeps track of the largest line number seen so far; it also stores each line into the array arr, at an index that is the line’s number.

The third rule runs after all the input has been read, to print out all the lines.

When this program is run with the following input:

5  I am the Five man
2  Who are you?  The new number two!
4  . . . And four on the floor
1  Who is number one?
3  I three you.

its output is this:

1  Who is number one?
2  Who are you?  The new number two!
3  I three you.
4  . . . And four on the floor
5  I am the Five man

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10.5 Scanning All Elements of an Array

In programs that use arrays, often you need a loop that will execute once for each element of an array. In other languages, where arrays are contiguous and indices are limited to positive integers, this is easy: the largest index is one less than the length of the array, and you can find all the valid indices by counting from zero up to that value. This technique won’t do the job in awk, since any number or string may be an array index. So awk has a special kind of for statement for scanning an array:

for (var in array)
  body

This loop executes body once for each different value that your program has previously used as an index in array, with the variable var set to that index.

Here is a program that uses this form of the for statement. The first rule scans the input records and notes which words appear (at least once) in the input, by storing a 1 into the array used with the word as index. The second rule scans the elements of used to find all the distinct words that appear in the input. It prints each word that is more than 10 characters long, and also prints the number of such words. See section Built–in functions, for more information on the built–in function length.

# Record a 1 for each word that is used at least once.
{
  for (i = 0; i < NF; i++)
    used[$i] = 1
}

# Find number of distinct words more than 10 characters long.
END {
  num_long_words = 0
  for (x in used)
    if (length(x) > 10) {
      ++num_long_words
      print x
  }
  print num_long_words, "words longer than 10 characters"
}

See section Sample Program, for a more detailed example of this type.

The order in which elements of the array are accessed by this statement is determined by the internal arrangement of the array elements within awk and cannot be controlled or changed. This can lead to problems if new elements are added to array by statements in body; you cannot predict whether or not the for loop will reach them. Similarly, changing var inside the loop can produce strange results. It is best to avoid such things.


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10.6 The delete Statement

You can remove an individual element of an array using the delete statement:

delete array[index]

When an array element is deleted, it is as if you had never referred to it and had never given it any value. Any value the element formerly had can no longer be obtained.

Here is an example of deleting elements in an array:

awk '{ for (i in frequencies)
            delete frequencies[i]
}'

This example removes all the elements from the array frequencies.

If you delete an element, the for statement to scan the array will not report that element, and the in operator to check for the presence of that element will return 0:

delete foo[4]
if (4 in foo)
  print "This will never be printed"

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10.7 Multi–dimensional arrays

A multi–dimensional array is an array in which an element is identified by a sequence of indices, not a single index. For example, a two–dimensional array requires two indices. The usual way (in most languages, including awk) to refer to an element of a two–dimensional array named grid is with grid[x,y].

Multi–dimensional arrays are supported in awk through concatenation of indices into one string. What happens is that awk converts the indices into strings (see section Conversion of Strings and Numbers) and concatenates them together, with a separator between them. This creates a single string that describes the values of the separate indices. The combined string is used as a single index into an ordinary, one–dimensional array. The separator used is the value of the special variable SUBSEP.

For example, suppose the value of SUBSEP is "," and the expression ‘foo[5,12]="value"’ is executed. The numbers 5 and 12 will be concatenated with a comma between them, yielding "5,12"; thus, the array element foo["5,12"] will be set to "value".

Once the element’s value is stored, awk has no record of whether it was stored with a single index or a sequence of indices. The two expressions foo[5,12] and foo[5 SUBSEP 12] always have the same value.

The default value of SUBSEP is not a comma; it is the string "\034", which contains a nonprinting character that is unlikely to appear in an awk program or in the input data.

The usefulness of choosing an unlikely character comes from the fact that index values that contain a string matching SUBSEP lead to combined strings that are ambiguous. Suppose that SUBSEP is a comma; then foo["a,b", "c"] and foo["a", "b,c"] will be indistinguishable because both are actually stored as foo["a,b,c"]. Because SUBSEP is "\034", such confusion can actually happen only when an index contains the character "\034", which is a rare event.

You can test whether a particular index–sequence exists in a “multi–dimensional” array with the same operator in used for single dimensional arrays. Instead of a single index as the left–hand operand, write the whole sequence of indices, separated by commas, in parentheses:

(subscript1, subscript2, …) in array

The following example treats its input as a two–dimensional array of fields; it rotates this array 90 degrees clockwise and prints the result. It assumes that all lines have the same number of elements.

awk 'BEGIN {
     max_nf = max_nr = 0
}

{
     if (max_nf < NF)
          max_nf = NF
     max_nr = NR
     for (x = 1; x <= NF; x++)
          vector[x, NR] = $x
}

END {
     for (x = 1; x <= max_nf; x++) {
          for (y = max_nr; y >= 1; --y)
               printf("%s ", vector[x, y])
          printf("\n")
     }
}'

When given the input:

1 2 3 4 5 6
2 3 4 5 6 1
3 4 5 6 1 2
4 5 6 1 2 3

it produces:

4 3 2 1
5 4 3 2
6 5 4 3
1 6 5 4
2 1 6 5
3 2 1 6

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10.8 Scanning Multi–dimensional Arrays

There is no special for statement for scanning a “multi–dimensional” array; there cannot be one, because in truth there are no multi–dimensional arrays or elements; there is only a multi–dimensional way of accessing an array.

However, if your program has an array that is always accessed as multi–dimensional, you can get the effect of scanning it by combining the scanning for statement (see section Scanning All Elements of an Array) with the split built–in function (see section Built–in Functions for String Manipulation). It works like this:

for (combined in array) {
  split (combined, separate, SUBSEP)
  …
}

This finds each concatenated, combined index in the array, and splits it into the individual indices by breaking it apart where the value of SUBSEP appears. The split–out indices become the elements of the array separate.

Thus, suppose you have previously stored in array[1, "foo"]; then an element with index "1\034foo" exists in array. (Recall that the default value of SUBSEP contains the character with code 034.) Sooner or later the for statement will find that index and do an iteration with combined set to "1\034foo". Then the split function will be called as follows:

split ("1\034foo", separate, "\034")

The result of this is to set separate[1] to 1 and separate[2] to "foo". Presto, the original sequence of separate indices has been recovered.


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11 Built–in functions

Built–in functions are functions always available for your awk program to call. This chapter defines all the built–in functions that exist; some of them are mentioned in other sections, but they are summarized here for your convenience. (You can also define new functions yourself. See section User–defined Functions.)

In most cases, any extra arguments given to built–in functions are ignored. The defaults for omitted arguments vary from function to function and are described under the individual functions.

The name of a built–in function need not be followed immediately by the opening left parenthesis of the arguments; whitespace is allowed. However, it is wise to write no space there, since user–defined functions do not allow space.

When a function is called, expressions that create the function’s actual parameters are evaluated completely before the function call is performed. For example, in the code fragment:

i = 4
j = myfunc(i++)

the variable i will be set to 5 before myfunc is called with a value of 4 for its actual parameter.


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11.1 Numeric Built–in Functions

The general syntax of the numeric built–in functions is the same for each. Here is an example of that syntax:

awk '# Read input records containing a pair of points: x0, y0, x1, y1.
     # Print the points and the distance between them.
     { printf "%f %f %f %f %f\n", $1, $2, $3, $4,
             sqrt(($2-$1) * ($2-$1) + ($4-$3) * ($4-$3)) }'

This calculates the square root of a calculation that uses the values of the fields. It then prints the first four fields of the input record and the result of the square root calculation.

Here is the full list of numeric built–in functions:

int(x)

This gives you the integer part of x, truncated toward 0. This produces the nearest integer to x, located between x and 0.

For example, int(3) is 3, int(3.9) is 3, int(-3.9) is -3, and int(-3) is -3 as well.

sqrt(x)

This gives you the positive square root of x. It reports an error if x is negative.

exp(x)

This gives you the exponential of x, or reports an error if x is out of range. The range of values x can have depends on your machine’s floating point representation.

log(x)

This gives you the natural logarithm of x, if x is positive; otherwise, it reports an error.

sin(x)

This gives you the sine of x, with x in radians.

cos(x)

This gives you the cosine of x, with x in radians.

atan2(y, x)

This gives you the arctangent of y/x, with both in radians.

rand()

This gives you a random number. The values of rand() are uniformly–distributed between 0 and 1. The value is never 0 and never 1.

Often you want random integers instead. Here is a user–defined function you can use to obtain a random nonnegative integer less than n:

function randint(n) {
     return int(n * rand())
}

The multiplication produces a random real number at least 0, and less than n. We then make it an integer (using int) between 0 and n-1.

Here is an example where a similar function is used to produce random integers between 1 and n:

awk '
# Function to roll a simulated die.
function roll(n) { return 1 + int(rand() * n) }

# Roll 3 six--sided dice and print total number of points.
{
      printf("%d points\n", roll(6)+roll(6)+roll(6))
}'

Note that rand() starts generating numbers from the same point, or seed, each time you run awk. This means that the same program will produce the same results each time you run it. The numbers are random within one awk run, but predictable from run to run. This is convenient for debugging, but if you want a program to do different things each time it is used, you must change the seed to a value that will be different in each run. To do this, use srand.

srand(x)

The function srand(x) sets the starting point, or seed, for generating random numbers to the value x.

Each seed value leads to a particular sequence of “random” numbers. Thus, if you set the seed to the same value a second time, you will get the same sequence of “random” numbers again.

If you omit the argument x, as in srand(), then the current date and time of day are used for a seed. This is the way to get random numbers that are truly unpredictable.

The return value of srand() is the previous seed. This makes it easy to keep track of the seeds for use in consistently reproducing sequences of random numbers.


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11.2 Built–in Functions for String Manipulation

index(in, find)

This searches the string in for the first occurrence of the string find, and returns the position where that occurrence begins in the string in. For example:

awk 'BEGIN { print index("peanut", "an") }'

prints ‘3’. If find is not found, index returns 0.

length(string)

This gives you the number of characters in string. If string is a number, the length of the digit string representing that number is returned. For example, length("abcde") is 5. Whereas, length(15 * 35) works out to 3. How? Well, 15 * 35 = 525, and 525 is then converted to the string ‘"525"’, which has three characters.

match(string, regexp)

The match function searches the string, string, for the longest, leftmost substring matched by the regular expression, regexp. It returns the character position, or index, of where that substring begins (1, if it starts at the beginning of string). If no match if found, it returns 0.

The match function sets the special variable RSTART to the index. It also sets the special variable RLENGTH to the length of the matched substring. If no match is found, RSTART is set to 0, and RLENGTH to -1.

For example:

awk '{
       if ($1 == "FIND")
         regex = $2
       else {
         where = match($0, regex)
         if (where)
           print "Match of", regex, "found at", where, "in", $0
       }
}'

This program looks for lines that match the regular expression stored in the variable regex. This regular expression can be changed. If the first word on a line is ‘FIND’, regex is changed to be the second word on that line. Therefore, given:

FIND fo*bar
My program was a foobar
But none of it would doobar
FIND Melvin
JF+KM
This line is property of The Reality Engineering Co.
This file was created by Melvin.

awk prints:

Match of fo*bar found at 18 in My program was a foobar
Match of Melvin found at 26 in This file was created by Melvin.
split(string, array, field_separator)

This divides string up into pieces separated by field_separator, and stores the pieces in array. The first piece is stored in array[1], the second piece in array[2], and so forth. The string value of the third argument, field_separator, is used as a regexp to search for to find the places to split string. If the field_separator is omitted, the value of FS is used. split returns the number of elements created.

The split function, then, splits strings into pieces in a manner similar to the way input lines are split into fields. For example:

split("auto-da-fe", a, "-")

splits the string ‘auto-da-fe’ into three fields using ‘-’ as the separator. It sets the contents of the array a as follows:

a[1] = "auto"
a[2] = "da"
a[3] = "fe"

The value returned by this call to split is 3.

sprintf(format, expression1,…)

This returns (without printing) the string that printf would have printed out with the same arguments (see section Using printf Statements For Fancier Printing). For example:

sprintf("pi = %.2f (approx.)", 22/7)

returns the string "pi = 3.14 (approx.)".

sub(regexp, replacement_string, target_variable)

The sub function alters the value of target_variable. It searches this value, which should be a string, for the leftmost substring matched by the regular expression, regexp, extending this match as far as possible. Then the entire string is changed by replacing the matched text with replacement_string. The modified string becomes the new value of target_variable.

This function is peculiar because target_variable is not simply used to compute a value, and not just any expression will do: it must be a variable, field or array reference, so that sub can store a modified value there. If this argument is omitted, then the default is to use and alter $0.

For example:

str = "water, water, everywhere"
sub(/at/, "ith", str)

sets str to "wither, water, everywhere", by replacing the leftmost, longest occurrence of ‘at’ with ‘ith’.

The sub function returns the number of substitutions made (either one or zero).

The special character, ‘&’, in the replacement string, replacement_string, stands for the precise substring that was matched by regexp. (If the regexp can match more than one string, then this precise substring may vary.) For example:

awk '{ sub(/candidate/, "& and his wife"); print }'

will change the first occurrence of “candidate” to “candidate and his wife” on each input line.

The effect of this special character can be turned off by preceding it with a backslash (‘\&’). To include a backslash in the replacement string, it too must be preceded with a (second) backslash.

Note: if you use sub with a third argument that is not a variable, field or array element reference, then it will still search for the pattern and return 0 or 1, but the modified string is thrown away because there is no place to put it. For example:

sub(/USA/, "United States", "the USA and Canada")

will indeed produce a string "the United States and Canada", but there will be no way to use that string!

gsub(regexp, replacement_string, target_variable)

This is similar to the sub function, except gsub replaces all of the longest, leftmost, non–overlapping matching substrings it can find. The “g” in gsub stands for global, which means replace everywhere. For example:

awk '{ gsub(/Britain/, "United Kingdom"); print }'

replaces all occurrences of the string ‘Britain’ with ‘United Kingdom’ for all input records.

The gsub function returns the number of substitutions made. If the variable to be searched and altered, target_variable, is omitted, then the entire input record, $0, is used.

The characters ‘&’ and ‘\’ are special in gsub as they are in sub (see immediately above).

substr(string, start, length)

This returns a length–character–long substring of string, starting at character number start. The first character of a string is character number one. For example, substr("washington", 5, 3) returns ‘"ing"’.

If length is not present, this function returns the whole suffix of string that begins at character number start. For example, substr("washington", 5) returns ‘"ington"’.


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11.3 Built–in Functions for I/O to Files and Commands

close(filename)

Close the file filename. The argument may alternatively be a shell command that was used for redirecting to or from a pipe; then the pipe is closed.

See section Closing Input Files, regarding closing input files and pipes. See section Closing Output Files and Pipes, regarding closing output files and pipes.

system(command)

The system function allows the user to execute operating system commands and then return to the awk program. The system function executes the command given by the string value of command. It returns, as its value, the status returned by the command that was executed. This is known as returning the exit status.

For example, if the following fragment of code is put in your awk program:

END {
     system("mail -s 'awk run done' operator < /dev/null")
}

the system operator will be sent mail when the awk program finishes processing input and begins its end–of–input processing.

Note that much the same result can be obtained by redirecting print or printf into a pipe. However, if your awk program is interactive, this function is useful for cranking up large self–contained programs, such as a shell or an editor.


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12 User–defined Functions

Complicated awk programs can often be simplified by defining your own functions. User–defined functions can be called just like built–in ones (see section Function Calls), but it is up to you to define them—to tell awk what they should do.


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12.1 Syntax of Function Definitions

The definition of a function named name looks like this:

function name (parameter-list) {
     body-of-function
}

A valid function name is like a valid variable name: a sequence of letters, digits and underscores, not starting with a digit.

Such function definitions can appear anywhere between the rules of the awk program. The general format of an awk program, then, is now modified to include sequences of rules and user–defined function definitions.

The function definition need not precede all the uses of the function. This is because awk reads the entire program before starting to execute any of it.

The parameter-list is a list of the function’s local variable names, separated by commas. Within the body of the function, local variables refer to arguments with which the function is called. If the function is called with fewer arguments than it has local variables, this is not an error; the extra local variables are simply set as the null string.

The local variable values hide or shadow any variables of the same names used in the rest of the program. The shadowed variables are not accessible in the function definition, because there is no way to name them while their names have been taken away for the local variables. All other variables used in the awk program can be referenced or set normally in the function definition.

The local variables last only as long as the function is executing. Once the function finishes, the shadowed variables come back.

The body-of-function part of the definition is the most important part, because this is what says what the function should actually do. The local variables exist to give the body a way to talk about the arguments.

Functions may be recursive, i.e., they can call themselves, either directly, or indirectly (via calling a second function that calls the first again).

The keyword ‘function’ may also be written ‘func’.


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12.2 Function Definition Example

Here is an example of a user–defined function, called myprint, that takes a number and prints it in a specific format.

function myprint(num)
{
     printf "%6.3g\n", num
}

To illustrate, let’s use the following awk rule to use, or call, our myprint function:

$3 > 0     { myprint($3) }'

This program prints, in our special format, all the third fields that contain a positive number in our input. Therefore, when given:

 1.2   3.4   5.6   7.8
 9.10 11.12 13.14 15.16
17.18 19.20 21.22 23.24

this program, using our function to format the results, will print:

   5.6
  13.1
  21.2

Here is a rather contrived example of a recursive function. It prints a string backwards:

function rev (str, len) {
    if (len == 0) {
        printf "\n"
        return
    }
    printf "%c", substr(str, len, 1)
    rev(str, len - 1)
}

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12.3 Caveats of Function Calling

Note that there cannot be any blanks between the function name and the left parenthesis of the argument list, when calling a function. This is so awk can tell you are not trying to concatenate the value of a variable with the value of an expression inside the parentheses.

When a function is called, it is given a copy of the values of its arguments. This is called passing by value. The caller may use a variable as the expression for the argument, but the called function does not know this: all it knows is what value the argument had. For example, if you write this code:

foo = "bar"
z = myfunc(foo)

then you should not think of the argument to myfunc as being “the variable foo”. Instead, think of the argument as the string value, "bar".

If the function myfunc alters the values of its local variables, this has no effect on any other variables. In particular, if myfunc does this:

function myfunc (win) {
  print win
  win = "zzz"
  print win
}

to change its first argument variable win, this does not change the value of foo in the caller. The role of foo in calling myfunc ended when its value, "bar", was computed. If win also exists outside of myfunc, this definition will not change it—that value is shadowed during the execution of myfunc and cannot be seen or changed from there.

However, when arrays are the parameters to functions, they are not copied. Instead, the array itself is made available for direct manipulation by the function. This is usually called passing by reference. Changes made to an array parameter inside the body of a function are visible outside that function. This can be very dangerous if you don’t watch what you are doing. For example:

function changeit (array, ind, nvalue) {
     array[ind] = nvalue
}

BEGIN {
           a[1] = 1 ; a[2] = 2 ; a[3] = 3
           changeit(a, 2, "two")
           printf "a[1] = %s, a[2] = %s, a[3] = %s\n", a[1], a[2], a[3]
      }

will print ‘a[1] = 1, a[2] = two, a[3] = 3’, because the call to changeit stores "two" in the second element of a.


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12.4 The return statement

The body of a user–defined function can contain a return statement. This statement returns control to the rest of the awk program. It can also be used to return a value for use in the rest of the awk program. It looks like:

return expression

The expression part is optional. If it is omitted, then the returned value is undefined and, therefore, unpredictable.

A return statement with no value expression is assumed at the end of every function definition. So if control reaches the end of the function definition, then the function returns an unpredictable value.

Here is an example of a user–defined function that returns a value for the largest number among the elements of an array:

function maxelt (vec,   i, ret) {
     for (i in vec) {
          if (ret == "" || vec[i] > ret)
               ret = vec[i]
     }
     return ret
}

You call maxelt with one argument, an array name. The local variables i and ret are not intended to be arguments; while there is nothing to stop you from passing two or three arguments to maxelt, the results would be strange.

When writing a function definition, it is conventional to separate the parameters from the local variables with extra spaces, as shown above in the definition of maxelt.

Here is a program that uses, or calls, our maxelt function. This program loads an array, calls maxelt, and then reports the maximum number in that array:

awk '
function maxelt (vec,   i, ret) {
     for (i in vec) {
          if (ret == "" || vec[i] > ret)
               ret = vec[i]
     }
     return ret
}

# Load all fields of each record into nums.
{
          for(i = 1; i <= NF; i++)
               nums[NR, i] = $i
}

END {
     print maxelt(nums)
}'

Given the following input:

 1 5 23 8 16
44 3 5 2 8 26
256 291 1396 2962 100
-6 467 998 1101
99385 11 0 225

our program tells us (predictably) that:

99385

is the largest number in our array.


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13 Special Variables

Most awk variables are available for you to use for your own purposes; they will never change except when your program assigns them, and will never affect anything except when your program examines them.

A few variables have special meanings. Some of them awk examines automatically, so that they enable you to tell awk how to do certain things. Others are set automatically by awk, so that they carry information from the internal workings of awk to your program.

Most of these variables are also documented in the chapters where their areas of activity are described.


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13.1 Special Variables That Control awk

This is a list of the variables which you can change to control how awk does certain things.

FS

FS is the input field separator (see section Specifying How Fields Are Separated). The value is a regular expression that matches the separations between fields in an input record.

The default value is " ", a string consisting of a single space. As a special exception, this value actually means that any sequence of spaces and tabs is a single separator. It also causes spaces and tabs at the beginning or end of a line to be ignored.

You can set the value of FS on the command line using the ‘-F’ option:

awk -F, 'program' input-files
OFMT

This string is used by awk to control conversion of numbers to strings (see section Conversion of Strings and Numbers). It works by being passed, in effect, as the first argument to the sprintf function. Its default value is "%.6g".

OFS

This is the output field separator (see section Output Separators). It is output between the fields output by a print statement. Its default value is " ", a string consisting of a single space.

ORS

This is the output record separator (see section Output Separators). It is output at the end of every print statement. Its default value is the newline character, often represented in awk programs as ‘\n’.

RS

This is awk’s record separator (see section How Input is Split into Records). Its default value is a string containing a single newline character, which means that an input record consists of a single line of text.

SUBSEP

SUBSEP is a subscript separator (see section Multi–dimensional arrays). It has the default value of "\034", and is used to separate the parts of the name of a multi–dimensional array. Thus, if you access foo[12,3], it really accesses foo["12\0343"].


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13.2 Special Variables That Convey Information to You

This is a list of the variables that are set automatically by awk on certain occasions so as to provide information for your program.

ARGC
ARGV

The command–line arguments available to awk are stored in an array called ARGV. ARGC is the number of command–line arguments present. ARGV is indexed from zero to ARGC - 1. For example:

awk '{ print ARGV[$1] }' inventory-shipped BBS-list

In this example, ARGV[0] contains "awk", ARGV[1] contains "inventory-shipped", and ARGV[2] contains "BBS-list". ARGC is 3, one more than the index of the last element in ARGV since the elements are numbered from zero.

Notice that the awk program is not treated as an argument. The ‘-f’ ‘filename’ option, and the ‘-F’ option, are also not treated as arguments for this purpose.

Variable assignments on the command line are treated as arguments, and do show up in the ARGV array.

Your program can alter ARGC the elements of ARGV. Each time awk reaches the end of an input file, it uses the next element of ARGV as the name of the next input file. By storing a different string there, your program can change which files are read. You can use ‘-’ to represent the standard input. By storing additional elements and incrementing ARGC you can cause additional files to be read.

If you decrease the value of ARGC, that eliminates input files from the end of the list. By recording the old value of ARGC elsewhere, your program can treat the eliminated arguments as something other than file names.

To eliminate a file from the middle of the list, store the null string ("") into ARGV in place of the file’s name. As a special feature, awk ignores file names that have been replaced with the null string.

ENVIRON

This is an array that contains the values of the environment. The array indices are the environment variable names; the values are the values of the particular environment variables. For example, ENVIRON["HOME"] might be ‘/u/close’. Changing this array does not affect the environment passed on to any programs that awk may spawn via redirection or the system function. (This may not work under operating systems other than MS-DOS, Unix, or GNU.)

FILENAME

This is the name of the file that awk is currently reading. If awk is reading from the standard input (in other words, there are no files listed on the command line), FILENAME is set to "-". FILENAME is changed each time a new file is read (see section Reading Files (Input)).

FNR

FNR is the current record number in the current file. FNR is incremented each time a new record is read (see section Explicit Input with getline). It is reinitialized to 0 each time a new input file is started.

NF

NF is the number of fields in the current input record. NF is set each time a new record is read, when a new field is created, or when $0 changes (see section Examining Fields).

NR

This is the number of input records awk has processed since the beginning of the program’s execution. (see section How Input is Split into Records). NR is set each time a new record is read.

RLENGTH

RLENGTH is the length of the string matched by the match function (see section Built–in Functions for String Manipulation). RLENGTH is set by invoking the match function. Its value is the length of the matched string, or -1 if no match was found.

RSTART

RSTART is the start of the string matched by the match function (see section Built–in Functions for String Manipulation). RSTART is set by invoking the match function. Its value is the position of the string where the matched string starts, or 0 if no match was found.


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Appendix A Sample Program

The following example is a complete awk program, which prints the number of occurrences of each word in its input. It illustrates the associative nature of awk arrays by using strings as subscripts. It also demonstrates the for x in array construction. Finally, it shows how awk can be used in conjunction with other utility programs to do a useful task of some complexity with a minimum of effort. Some explanations follow the program listing.

awk '
# Print list of word frequencies
{
    for (i = 1; i <= NF; i++)
        freq[$i]++
}

END {
    for (word in freq)
        printf "%s\t%d\n", word, freq[word]
}'

The first thing to notice about this program is that it has two rules. The first rule, because it has an empty pattern, is executed on every line of the input. It uses awk’s field–accessing mechanism (see section Examining Fields) to pick out the individual words from the line, and the special variable NF (see section Special Variables) to know how many fields are available.

For each input word, an element of the array freq is incremented to reflect that the word has been seen an additional time.

The second rule, because it has the pattern END, is not executed until the input has been exhausted. It prints out the contents of the freq table that has been built up inside the first action.

Note that this program has several problems that would prevent it from being useful by itself on real text files:

The way to solve these problems is to use other operating system utilities to process the input and output of the awk script. Suppose the script shown above is saved in the file ‘frequency.awk’. Then the shell command:

tr A-Z a-z < file1 | tr -cd 'a-z\012' \
  | awk -f frequency.awk \
  | sort +1 -nr

produces a table of the words appearing in ‘file1’ in order of decreasing frequency.

The first tr command in this pipeline translates all the upper case characters in ‘file1’ to lower case. The second tr command deletes all the characters in the input except lower case characters and newlines. The second argument to the second tr is quoted to protect the backslash in it from being interpreted by the shell. The awk program reads this suitably massaged data and produces a word frequency table, which is not ordered.

The awk script’s output is now sorted by the sort command and printed on the terminal. The options given to sort in this example specify to sort by the second field of each input line (skipping one field), that the sort keys should be treated as numeric quantities (otherwise ‘15’ would come before ‘5’), and that the sorting should be done in descending (reverse) order.

See the general operating system documentation for more information on how to use the tr and sort commands.


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Appendix B Implementation Notes

This appendix contains information mainly of interest to implementors and maintainers of gawk. Everything in it applies specifically to gawk, and not to other implementations.


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B.1 GNU Extensions to the AWK Language

Several new features are in a state of flux. They are described here merely to document them somewhat, but they will probably change. We hope they will be incorporated into other versions of awk, too.

All of these features can be turned off either by compiling gawk with ‘-DSTRICT’, or by invoking gawk as ‘awk’.

The AWKPATH environment variable

When opening a file supplied via the ‘-f’ option, if the filename does not contain a ‘/’, gawk will perform a path search for the file, similar to that performed by the shell. gawk gets its search path from the AWKPATH environment variable. If that variable does not exist, it uses the default path ".:/usr/lib/awk:/usr/local/lib/awk".

Case Independent Matching

Two new operators have been introduced, ~~, and !~~. These perform regular expression match and no-match operations that are case independent. In other words, ‘A’ and ‘a’ would both match ‘/a/’.

The ‘-i’ option

This option causes the ~ and !~ operators to behave like the ~~ and !~~ operators described above.

The ‘-v’ option

This option prints version information for this particular copy of gawk. This is so you can determine if your copy of gawk is up to date with respect to whatever the Free Software Foundation is currently distributing. It may disappear in a future version of gawk.


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B.2 Extensions Likely To Appear In A Future Release

Here are some more extensions that indicate the directions we are currently considering for gawk. Like the previous section, this section is also subject to change. None of these are implemented yet.

The IGNORECASE special variable

If IGNORECASE is non–zero, then all regular expression matching will be done in a case–independent fashion. The ‘-i’ option and the ~~ and !~~ operators will go away, as this mechanism generalizes those facilities.

More Escape Sequences

The ANSI C ‘\a’, and ‘\x’ escape sequences will be recognized. Unix awk does not recognize ‘\v’, although gawk does.

RS as a regexp

The meaning of RS will be generalized along the lines of FS.

Transliteration Functions

We are planning on adding toupper and tolower functions which will take string arguments, and return strings where the case of each letter has been transformed to upper– or lower–case respectively.

Access To System File Descriptors

gawk will recognize the special file names ‘/dev/stdin’, ‘/dev/stdout’, ‘/dev/stderr’, and ‘/dev/fd/N’ internally. These will allow access to inherited file descriptors from within an awk program.


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B.3 Suggestions for Future Improvements

Here are some projects that would–be gawk hackers might like to take on. They vary in size from a few days to a few weeks of programming, depending on which one you choose and how fast a programmer you are. Please send any improvements you write to the maintainers at the GNU project.

  1. State machine regexp matcher: At present, gawk uses the backtracking regular expression matcher from the GNU subroutine library. If a regexp is really going to be used a lot of times, it is faster to convert it once to a description of a finite state machine, then run a routine simulating that machine every time you want to match the regexp. You could use the matching routines used by GNU egrep.
  2. Compilation of awk programs: gawk uses a Bison (YACC–like) parser to convert the script given it into a syntax tree; the syntax tree is then executed by a simple recursive evaluator. Both of these steps incur a lot of overhead, since parsing can be slow (especially if you also do the previous project and convert regular expressions to finite state machines at compile time) and the recursive evaluator performs many procedure calls to do even the simplest things.

    It should be possible for gawk to convert the script’s parse tree into a C program which the user would then compile, using the normal C compiler and a special gawk library to provide all the needed functions (regexps, fields, associative arrays, type coercion, and so on).

    An easier possibility might be for an intermediate phase of awk to convert the parse tree into a linear byte code form like the one used in GNU Emacs Lisp. The recursive evaluator would then be replaced by a straight line byte code interpreter that would be intermediate in speed between running a compiled program and doing what gawk does now.


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B.4 Suggestions For Future Improvements of This Manual

  1. An error message section has not been included in this version of the manual. Perhaps some nice beta testers will document some of the messages for the future.
  2. A summary page has not been included, as the “man”, or help, page that comes with the gawk code should suffice.

    GNU only supports Info, so this manual itself should contain whatever forms of information it would be useful to have on an Info summary page.

  3. A function and variable index has not been included as we are not sure what to put in it.
  4. A section summarizing the differences between V7 awk and System V Release 4 awk would be useful for long–time awk hackers.

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Appendix C Glossary

Action

A series of awk statements attached to a rule. If the rule’s pattern matches an input record, the awk language executes the rule’s action. Actions are always enclosed in curly braces.

Amazing awk assembler

Henry Spencer at the University of Toronto wrote a retargetable assembler completely as awk scripts. It is thousands of lines long, including machine descriptions for several 8–bit microcomputers. It is distributed with gawk and is a good example of a program that would have been better written in another language.

Assignment

An awk expression that changes the value of some awk variable or data object. An object that you can assign to is called an lvalue.

Built-in function

The awk language provides built–in functions that perform various numerical and string computations. Examples are sqrt (for the square root of a number) and substr (for a substring of a string).

C

The system programming language that most of GNU is written in. The awk programming language has C–like syntax, and this manual points out similarities between awk and C when appropriate.

Compound statement

A series of awk statements, enclosed in curly braces. Compound statements may be nested.

Concatenation

Concatenating two strings means sticking them together, one after another, giving a new string. For example, the string ‘foo’ concatenated with the string ‘bar’ gives the string ‘foobar’.

Conditional expression

A relation that is either true or false, such as (a < b). Conditional expressions are used in if and while statements, and in patterns to select which input records to process.

Curly braces

The characters ‘{’ and ‘}’. Curly braces are used in awk for delimiting actions, compound statements, and function bodies.

Data objects

These are numbers and strings of characters. Numbers are converted into strings and vice versa, as needed.

Escape Sequences

A special sequence of characters used for describing non–printable characters, such as ‘\n’ for newline, or ‘\033’ for the ASCII ESC (escape) character.

Field

When awk reads an input record, it splits the record into pieces separated by whitespace (or by a separator regexp which you can change by setting the special variable FS). Such pieces are called fields.

Format

Format strings are used to control the appearance of output in the printf statement. Also, data conversions from numbers to strings are controlled by the format string contained in the special variable OFMT.

Function

A specialized group of statements often used to encapsulate general or program–specific tasks. awk has a number of built–in functions, and also allows you to define your own.

gawk

The GNU implementation of awk.

awk language

The language in which awk programs are written.

awk program

An awk program consists of a series of patterns and actions, collectively known as rules. For each input record given to the program, the program’s rules are all processed in turn. awk programs may also contain function definitions.

awk script

Another name for an awk program.

Input record

A single chunk of data read in by awk. Usually, an awk input record consists of one line of text.

Keyword

In the awk language, a keyword is a word that has special meaning. Keywords are reserved and may not be used as variable names.

The keywords are: if, else, while, do…while, for, for…in, break, continue, delete, next, function, func, and exit.

Lvalue

An expression that can appear on the left side of an assignment operator. In most languages, lvalues can be variables or array elements. In awk, a field designator can also be used as an lvalue.

Number

A numeric valued data object. The gawk implementation uses double precision floating point to represent numbers.

Pattern

Patterns tell awk which input records are interesting to which rules.

A pattern is an arbitrary conditional expression against which input is tested. If the condition is satisfied, the pattern is said to match the input record. A typical pattern might compare the input record against a regular expression.

Range (of input lines)

A sequence of consecutive lines from the input file. A pattern can specify ranges of input lines for awk to process, or it can specify single lines.

Recursion

When a function calls itself, either directly or indirectly. If this isn’t clear, refer to the entry for “recursion”.

Redirection

Redirection means performing input from other than the standard input stream, or output to other than the standard output stream.

You can redirect the output of the print and printf statements to a file or a system command, using the >, >>, and | operators. You can redirect input to the getline statement using the < and | operators.

Regular Expression

See “regexp”.

Regexp

Short for regular expression. A regexp is a pattern that denotes a set of strings, possibly an infinite set. For example, the regexp ‘R.*xp’ matches any string starting with the letter ‘R’ and ending with the letters ‘xp’. In awk, regexps are used in patterns and in conditional expressions.

Rule

A segment of an awk program, that specifies how to process single input records. A rule consists of a pattern and an action. awk reads an input record; then, for each rule, if the input record satisfies the rule’s pattern, awk executes the rule’s action. Otherwise, the rule does nothing for that input record.

Special Variable

The variables ARGC, ARGV, ENVIRON, FILENAME, FNR, FS, NF, NR, OFMT, OFS, ORS, RLENGTH, RSTART, RS, SUBSEP, have special meaning to awk. Changing some of them affects awk’s running environment.

Stream Editor

A program that reads records from an input stream and processes them one or more at a time. This is in contrast with batch programs, which may expect to read their input files in entirety before starting to do anything, and with interactive programs, which require input from the user.

String

A datum consisting of a sequence of characters, such as ‘I am a string’. Constant strings are written with double–quotes in the awk language, and may contain escape sequences.

Whitespace

A sequence of blank or tab characters occurring inside an input record or a string.


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Index

Jump to:   #   $   -   >   |  
A   B   C   D   E   F   G   H   I   L   M   N   O   P   R   S   T   U   V   W  
Index Entry  Section

#
#! 2.4.4 Executable awk Programs

$
$ (field operator) 3.2 Examining Fields
$NF, last field in record 3.2 Examining Fields

-
-f option 2.4.3 Running Long Programs

>
> 4.4 Redirecting Output of print and printf
>> 4.4 Redirecting Output of print and printf

|
| 4.4 Redirecting Output of print and printf

A
Accessing fields 3.2 Examining Fields
Acronym History of awk and gawk
Action, curly braces 2 Getting Started With awk
Action, curly braces 7 Actions: The Basics
Action, default 2.1 A Very Simple Example
Action, definition of 2 Getting Started With awk
Action, general 7 Actions: The Basics
Action, separating statements 7 Actions: The Basics
Applications of awk 2.7 When to Use awk
Arguments in function call 8.11 Function Calls
Arguments, Command Line 2.4.5 Details of the awk Command Line
Arithmetic operators 8.3 Arithmetic Operators
Array assignment 10.3 Assigning Array Elements
Array reference 10.2 Referring to an Array Element
Arrays 10.1 Introduction to Arrays
Arrays, definition of 10.1 Introduction to Arrays
Arrays, deleting an element 10.6 The delete Statement
Arrays, determining presence of elements 10.2 Referring to an Array Element
Arrays, multi-dimensional subscripts 10.7 Multi–dimensional arrays
Arrays, special for statement 10.5 Scanning All Elements of an Array
Assignment operators 8.7 Assignment Operators
Associative arrays 10.1 Introduction to Arrays
awk language 1 Using This Manual
awk program 1 Using This Manual

B
Backslash Continuation 2.6 awk Statements versus Lines
Basic function of gawk 2 Getting Started With awk
BBS-list’ file 1.1 Input Files for the Examples
BEGIN, special pattern 6.5 BEGIN and END Special Patterns
Body of a loop 9.2 The while Statement
Boolean expressions 8.6 Boolean Operators
Boolean operators 8.6 Boolean Operators
Boolean patterns 6.6 Boolean Operators and Patterns
break statement 9.5 The break Statement
Built-in functions, list of 11 Built–in functions
Built-in variables 8.2 Variables

C
Calling a function 8.11 Function Calls
Case sensitivity and gawk 2.4.2 Running awk without Input Files
Changing contents of a field 3.4 Changing the Contents of a Field
Changing the record separator 3.1 How Input is Split into Records
close statement for input 3.8.1 Closing Input Files
close statement for output 4.4.1 Closing Output Files and Pipes
Closing files and pipes 4.4.1 Closing Output Files and Pipes
Command Line 2.4.5 Details of the awk Command Line
Command line formats 2.4 How to Run awk Programs
Command line, setting FS on 3.5 Specifying How Fields Are Separated
Comments 2.5 Comments in awk Programs
Comparison expressions 8.5 Comparison Expressions
Comparison expressions as patterns 6.3 Comparison Expressions as Patterns
Compound statements 7 Actions: The Basics
Computed Regular Expressions 6.2.1 How to use Regular Expressions
Concatenation 8.4 String Concatenation
Conditional expression 8.10 Conditional Expressions
Conditional Patterns 6.7 Conditional Patterns
Constants, types of 8.1 Constant Expressions
continue statement 9.6 The continue Statement
Continuing statements on the next line 2.6 awk Statements versus Lines
Conversion of strings and numbers 8.9 Conversion of Strings and Numbers
Curly braces 2 Getting Started With awk
Curly braces 7 Actions: The Basics

D
Default action 2.1 A Very Simple Example
Default pattern 2.1 A Very Simple Example
delete statement 10.6 The delete Statement
Deleting elements of arrays 10.6 The delete Statement
Differences between gawk and awk 8.1 Constant Expressions
Differences between gawk and awk 8.3 Arithmetic Operators
Documenting awk programs 2.5 Comments in awk Programs
Dynamic Regular Expressions 6.2.1 How to use Regular Expressions

E
Element assignment 10.3 Assigning Array Elements
Element of array 10.2 Referring to an Array Element
Emacs Lisp 2.7 When to Use awk
Empty pattern 6.1 The Empty Pattern
END, special pattern 6.5 BEGIN and END Special Patterns
Escape sequence notation 8.1 Constant Expressions
Examining fields 3.2 Examining Fields
Executable Scripts 2.4.4 Executable awk Programs
exit statement 9.8 The exit Statement
Expression, conditional 8.10 Conditional Expressions
Expressions 7 Actions: The Basics
Expressions, boolean 8.6 Boolean Operators
Expressions, comparison 8.5 Comparison Expressions

F
Field separator, choice of 3.5 Specifying How Fields Are Separated
Field separator, FS 3.5 Specifying How Fields Are Separated
Field separator, setting on command line 3.5 Specifying How Fields Are Separated
Field, changing contents of 3.4 Changing the Contents of a Field
Fields 3.2 Examining Fields
Fields, negative-numbered 3.3 Non-constant Field Numbers
Fields, semantics of 3.5 Specifying How Fields Are Separated
Fields, separating 3.5 Specifying How Fields Are Separated
file, awk program 2.4.3 Running Long Programs
for (x in …) 10.5 Scanning All Elements of an Array
for statement 9.4 The for Statement
Format specifier 4.5.2 Format–Control Characters
Format string 4.5.1 Introduction to the printf Statement
Formatted output 4.5 Using printf Statements For Fancier Printing
Function call 8.11 Function Calls
Function definitions 7 Actions: The Basics
Functions, user-defined 12 User–defined Functions

G
General input 3 Reading Files (Input)

H
History of awk History of awk and gawk
How gawk works 2.2 An Example with Two Rules

I
if statement 9.1 The if Statement
Increment operators 8.8 Increment Operators
Input file, sample 1.1 Input Files for the Examples
Input, general 3 Reading Files (Input)
Input, getline function 3.8 Explicit Input with getline
Input, multiple line records 3.6 Multiple–Line Records
Input, standard 2.4.2 Running awk without Input Files
Input, standard 3 Reading Files (Input)
Interaction of awk with other programs 11.3 Built–in Functions for I/O to Files and Commands
inventory-shipped’ file 1.1 Input Files for the Examples
Invocation of gawk 2.4.5 Details of the awk Command Line

L
Language, awk 1 Using This Manual
Loop 9.2 The while Statement
Loops, breaking out of 9.5 The break Statement
Lvalue 8.7 Assignment Operators

M
Manual, using this 1 Using This Manual
Metacharacters 6.2.2 Regular Expression Operators
Mod function, semantics of 8.3 Arithmetic Operators
Modifiers (in format specifiers) 4.5.3 Modifiers for printf Formats
Multiple line records 3.6 Multiple–Line Records
Multiple passes over data 2.4.5 Details of the awk Command Line
Multiple statements on one line 2.6 awk Statements versus Lines

N
Negative-numbered fields 3.3 Non-constant Field Numbers
next statement 9.7 The next Statement
Number of fields, NF 3.2 Examining Fields
Number of records, FNR 3.1 How Input is Split into Records
Number of records, NR 3.1 How Input is Split into Records
Numerical constant 8.1 Constant Expressions
Numerical value 8.1 Constant Expressions

O
One-liners 5 Useful “One-liners”
Operator, Ternary 6.7 Conditional Patterns
Operators, $ 3.2 Examining Fields
Operators, arithmetic 8.3 Arithmetic Operators
Operators, assignment 8.7 Assignment Operators
Operators, boolean 8.6 Boolean Operators
Operators, increment 8.8 Increment Operators
Operators, regular expression matching 6.2.1 How to use Regular Expressions
Operators, relational 6.3 Comparison Expressions as Patterns
Operators, relational 8.5 Comparison Expressions
Operators, string 8.4 String Concatenation
Operators, string-matching 6.2.1 How to use Regular Expressions
Options, Command Line 2.4.5 Details of the awk Command Line
Output 4 Printing Output
Output field separator, OFS 4.3 Output Separators
Output record separator, ORS 4.3 Output Separators
Output redirection 4.4 Redirecting Output of print and printf
Output, formatted 4.5 Using printf Statements For Fancier Printing
Output, piping 4.4 Redirecting Output of print and printf

P
Passes, Multiple 2.4.5 Details of the awk Command Line
Pattern, case sensitive 2.4.2 Running awk without Input Files
Pattern, comparison expressions 6.3 Comparison Expressions as Patterns
Pattern, default 2.1 A Very Simple Example
Pattern, definition of 2 Getting Started With awk
Pattern, empty 6.1 The Empty Pattern
Pattern, regular expressions 6.2 Regular Expressions as Patterns
Patterns, BEGIN 6.5 BEGIN and END Special Patterns
Patterns, boolean 6.6 Boolean Operators and Patterns
Patterns, Conditional 6.7 Conditional Patterns
Patterns, definition of 6 Patterns
Patterns, END 6.5 BEGIN and END Special Patterns
patterns, range 6.4 Specifying Record Ranges With Patterns
Patterns, types of 6 Patterns
Pipes for output 4.4 Redirecting Output of print and printf
print $0 2.1 A Very Simple Example
print statement 4.1 The print Statement
printf statement, format of 4.5.1 Introduction to the printf Statement
printf, format-control characters 4.5.2 Format–Control Characters
printf, modifiers 4.5.3 Modifiers for printf Formats
Printing, general 4 Printing Output
program file 2.4.3 Running Long Programs
Program, awk 1 Using This Manual
Program, definition of 2 Getting Started With awk
Program, Self contained 2.4.4 Executable awk Programs
Programs, documenting 2.5 Comments in awk Programs

R
Range pattern 6.4 Specifying Record Ranges With Patterns
Reading files, general 3 Reading Files (Input)
Reading files, getline function 3.8 Explicit Input with getline
Reading files, multiple line records 3.6 Multiple–Line Records
Record separator, RS 3.1 How Input is Split into Records
Records, multiple line 3.6 Multiple–Line Records
Redirection of output 4.4 Redirecting Output of print and printf
Reference to array 10.2 Referring to an Array Element
Regexp 6.2 Regular Expressions as Patterns
regexp search operators 6.2.1 How to use Regular Expressions
Regular expression matching operators 6.2.1 How to use Regular Expressions
Regular expression, metacharacters 6.2.2 Regular Expression Operators
Regular expressions as patterns 6.2 Regular Expressions as Patterns
Regular Expressions, Computed 6.2.1 How to use Regular Expressions
Regular Expressions, Dynamic 6.2.1 How to use Regular Expressions
Regular expressions, field separators and 3.5 Specifying How Fields Are Separated
Relational operators 6.3 Comparison Expressions as Patterns
Relational operators 8.5 Comparison Expressions
Removing elements of arrays 10.6 The delete Statement
return statement 12.4 The return statement
Rule, definition of 2 Getting Started With awk
Running gawk programs 2.4 How to Run awk Programs
running long programs 2.4.3 Running Long Programs

S
Sample input file 1.1 Input Files for the Examples
Scanning an array 10.5 Scanning All Elements of an Array
Script, definition of 2 Getting Started With awk
Scripts, Executable 2.4.4 Executable awk Programs
Scripts, Shell 2.4.4 Executable awk Programs
Self contained Programs 2.4.4 Executable awk Programs
Separator character, choice of 3.5 Specifying How Fields Are Separated
Shell Scripts 2.4.4 Executable awk Programs
Single quotes, why they are needed 2.4.1 One–shot Throw–away awk Programs
Special variables, user modifiable 13.1 Special Variables That Control awk
Standard input 2.4.2 Running awk without Input Files
Standard input 3 Reading Files (Input)
Statements 7 Actions: The Basics
Statements 9 Actions: Statements
String constants 8.1 Constant Expressions
String operators 8.4 String Concatenation
String value 8.1 Constant Expressions
String-matching operators 6.2.1 How to use Regular Expressions
Subscripts, multi-dimensional in arrays 10.7 Multi–dimensional arrays

T
Ternary Operator 6.7 Conditional Patterns

U
Use of comments 2.5 Comments in awk Programs
User-defined functions 12 User–defined Functions
User-defined variables 8.2 Variables
Uses of awk Preface
Using this manual 1 Using This Manual

V
Variables, built-in 8.2 Variables
Variables, user-defined 8.2 Variables

W
What is awk Preface
When to use awk 2.7 When to Use awk
while statement 9.2 The while Statement

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