Geek Gadgets 1/ADE-1.bin/ade-dist/gawk-2.15.6-bin.lha/info/gawk.info-2

GNU Info File | 1996-10-12 | 51KB | 945 lines

This is Info file gawk.info, produced by Makeinfo-1.55 from the input
file /gnu-src/gawk-2.15.6/gawk.texi.
   This file documents `awk', a program that you can use to select
particular records in a file and perform operations upon them.
   This is Edition 0.15 of `The GAWK Manual',
for the 2.15 version of the GNU implementation
of AWK.
   Copyright (C) 1989, 1991, 1992, 1993 Free Software Foundation, Inc.
   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.
File: gawk.info,  Node: Statements/Lines,  Next: When,  Prev: Comments,  Up: Getting Started
`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:
     ,    {    ?    :    ||    &&    do    else
A newline at any other point is considered the end of the statement.
(Splitting lines after `?' and `:' is a minor `gawk' extension.  The
`?' and `:' referred to here is the three operand conditional
expression described in *Note Conditional Expressions: Conditional Exp.)
   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 in `gawk' 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.  You should also note that many `awk'
implementations are more picky about where you may use backslash
continuation.  For maximal portability of your `awk' programs, it is
best not to split your lines in the middle of a regular expression or a
string.
   *Warning: backslash continuation does not work as described above
with the C shell.*  Continuation with backslash works for `awk'
programs in files, and also for one-shot programs *provided* you are
using a POSIX-compliant shell, such as the Bourne 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 a semicolon, `;'.  This also applies to the rules
themselves.  Thus, the previous program could have been written:
     /12/ { print $0 } ; /21/ { print $0 }
*Note:* the requirement that rules on the same line must be separated
with a semicolon is a recent change in the `awk' language; it was done
for consistency with the treatment of statements within an action.
File: gawk.info,  Node: When,  Prev: Statements/Lines,  Up: Getting Started
When to Use `awk'
=================
   You might wonder how `awk' might be useful for you.  Using additional
utility programs, 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, such as summarizing information
from the output of other utility programs like `ls'.  (*Note A More
Complex Example: More Complex.)
   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 (*note 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 system
utilities.  More conventional languages, such as C, C++, and 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 are easier
to maintain and usually run more efficiently.
File: gawk.info,  Node: Reading Files,  Next: Printing,  Prev: Getting Started,  Up: Top
Reading Input Files
*******************
   In the typical `awk' program, all input is read either from the
standard input (by default the keyboard, but often a pipe from another
command) or from files whose names you specify on the `awk' command
line.  If you specify input files, `awk' reads them in order, reading
all the data from one before going on to the next.  The name of the
current input file can be found in the built-in variable `FILENAME'
(*note Built-in Variables::.).
   The input is read in units called records, and processed by the
rules one record at a time.  By default, each record is one line.  Each
record is split automatically into fields, to make it more convenient
for a rule to work on its parts.
   On rare occasions you will need to use the `getline' command, which
can do explicit input from any number of files (*note Explicit Input
with `getline': Getline.).
* Menu:
* Records::                     Controlling how data is split into records.
* Fields::                      An introduction to fields.
* Non-Constant Fields::         Non-constant Field Numbers.
* Changing Fields::             Changing the Contents of a Field.
* Field Separators::            The field separator and how to change it.
* Constant Size::               Reading constant width data.
* Multiple Line::               Reading multi-line records.
* Getline::                     Reading files under explicit program control
                                using the `getline' function.
* Close Input::                 Closing an input file (so you can read from
                                the beginning once more).
File: gawk.info,  Node: Records,  Next: Fields,  Prev: Reading Files,  Up: Reading Files
How Input is Split into Records
===============================
   The `awk' language divides its input into records and fields.
Records are separated by a character called the "record separator".  By
default, the record separator is the newline character, defining a
record to be a single line of text.
   Sometimes you may want to use a different character to separate your
records.  You can use a different character by changing the built-in
variable `RS'.  The value of `RS' is a string that says how to separate
records; the default value is `"\n"', the string containing just a
newline character.  This is why records are, by default, single lines.
   `RS' can have any string as its value, but only the first character
of the string is 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 built-in variables.
   You can change the value of `RS' in the `awk' program with the
assignment operator, `=' (*note Assignment Expressions: Assignment
Ops.).  The new record-separator character should be enclosed in
quotation marks to make a string constant.  Often the right time to do
this is at the beginning of execution, before any input has been
processed, so that the very first record will be read with the proper
separator.  To do this, use the special `BEGIN' pattern (*note `BEGIN'
and `END' Special Patterns: BEGIN/END.).  For example:
     awk 'BEGIN { RS = "/" } ; { print $0 }' BBS-list
changes the value of `RS' to `"/"', before reading any input.  This is
a string whose first character is a slash; as a result, records are
separated by slashes.  Then the input file is read, and the second rule
in the `awk' program (the action with no pattern) prints 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 (*note Invoking `awk': Command
Line.).
     awk '{ print $0 }' RS="/" BBS-list
This sets `RS' to `/' before processing `BBS-list'.
   Reaching the end of an input file terminates the current input
record, even if the last character in the file is not the character in
`RS'.
   The empty string, `""' (a string of no characters), has a special
meaning as the value of `RS': it means that records are separated only
by blank lines.  *Note Multiple-Line Records: Multiple Line, for more
details.
   The `awk' utility keeps track of the number of records that have
been read so far from the current input file.  This value is stored in a
built-in variable called `FNR'.  It is reset to zero when a new file is
started.  Another built-in variable, `NR', is the total number of input
records read so far from all files.  It starts at zero but is never
automatically reset to zero.
   If you change the value of `RS' in the middle of an `awk' run, the
new value is used to delimit subsequent records, but the record
currently being processed (and records already processed) are not
affected.
File: gawk.info,  Node: Fields,  Next: Non-Constant Fields,  Prev: Records,  Up: Reading Files
Examining Fields
================
   When `awk' reads an input record, the record is automatically
separated or "parsed" by the interpreter into chunks called "fields".
By default, fields are separated by whitespace, like words in a line.
Whitespace in `awk' means any string of one or more spaces and/or tabs;
other characters such as newline, formfeed, and so on, that are
considered whitespace by other languages are *not* considered
whitespace by `awk'.
   The purpose of fields is to make it more convenient for you to refer
to these pieces of the record.  You don't have to use them--you can
operate on the whole record if you wish--but fields are what make
simple `awk' programs so powerful.
   To refer to a field in an `awk' program, you use a dollar-sign, `$',
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
(*note Non-constant Field Numbers: Non-Constant Fields.).  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 built-in 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 if you weren't interested in fields.
   Here are some more examples:
     awk '$1 ~ /foo/ { print $0 }' BBS-list
This example prints each record in the file `BBS-list' whose first
field contains the string `foo'.  The operator `~' is called a
"matching operator" (*note Comparison Expressions: Comparison Ops.); it
tests whether a string (here, the field `$1') matches a given regular
expression.
   By contrast, the following example:
     awk '/foo/ { print $1, $NF }' BBS-list
looks for `foo' in *the entire record* and prints the first field and
the last field for each input record containing a match.
File: gawk.info,  Node: Non-Constant Fields,  Next: Changing Fields,  Prev: Fields,  Up: Reading Files
Non-constant Field Numbers
==========================
   The number of a field does not need to be a constant.  Any
expression in the `awk' language can be used after a `$' to refer to a
field.  The value of the expression specifies the field number.  If the
value is a string, rather than a number, it is converted to a 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 prints the first field
of the first record, the second field of the second record, and so on.
For the twentieth record, field number 20 is printed; most likely, the
record has fewer than 20 fields, so this prints a blank line.
   Here is another example of using expressions as field numbers:
     awk '{ print $(2*2) }' BBS-list
   The `awk' language must evaluate the expression `(2*2)' and use its
value as the number of the field to print.  The `*' sign represents
multiplication, so the expression `2*2' evaluates to 4.  The
parentheses are used so that the multiplication is done before the `$'
operation; they are necessary whenever there is a binary operator in
the field-number expression.  This example, then, prints the hours of
operation (the fourth field) for every line of the file `BBS-list'.
   If the field number you compute is zero, you get the entire record.
Thus, `$(2-2)' has the same value as `$0'.  Negative field numbers are
not allowed.
   The number of fields in the current record is stored in the built-in
variable `NF' (*note Built-in Variables::.).  The expression `$NF' is
not a special feature: it is the direct consequence of evaluating `NF'
and using its value as a field number.
File: gawk.info,  Node: Changing Fields,  Next: Field Separators,  Prev: Non-Constant Fields,  Up: Reading Files
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.)
   Consider 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'.  (*Note
Arithmetic Operators: Arithmetic Ops.) 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 three.  *Note Conversion of Strings and Numbers:
Conversion.
   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.  Therefore, `$0' changes to reflect the altered field.
Thus,
     awk '{ $2 = $2 - 10; print $0 }' inventory-shipped
prints 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) ; print $6 }' inventory-shipped
We've just created `$6', whose value is the sum of fields `$2', `$3',
`$4', and `$5'.  The `+' sign represents addition.  For the file
`inventory-shipped', `$6' represents the total number of parcels
shipped for a particular month.
   Creating a new field changes the internal `awk' copy of the current
input record--the value of `$0'.  Thus, if you do `print $0' after
adding a field, the record printed includes the new field, with the
appropriate number of field separators between it and the previously
existing fields.
   This recomputation affects and is affected by several features not
yet discussed, in particular, the "output field separator", `OFS',
which is used to separate the fields (*note Output Separators::.), and
`NF' (the number of fields; *note Examining Fields: Fields.).  For
example, the value of `NF' is set to the number of the highest field
you create.
   Note, however, that merely *referencing* an out-of-range field does
*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', because `NF+1' is certain to be
out of range.  (*Note The `if' Statement: If Statement, for more
information about `awk''s `if-else' statements.)
   It is important to note that assigning to a field will change the
value of `$0', but will not change the value of `NF', even when you
assign the null string to a field.  For example:
     echo a b c d | awk '{ OFS = ":"; $2 = "" ; print ; print NF }'
prints
     a::c:d
     4
The field is still there, it just has an empty value.  You can tell
because there are two colons in a row.
File: gawk.info,  Node: Field Separators,  Next: Constant Size,  Prev: Changing Fields,  Up: Reading Files
Specifying how Fields are Separated
===================================
   (This section is rather long; it describes one of the most
fundamental operations in `awk'.  If you are a novice with `awk', we
recommend that you re-read this section after you have studied the
section on regular expressions, *Note Regular Expressions as Patterns:
Regexp.)
   The way `awk' splits an input record into fields is controlled by
the "field separator", which is a single character or a regular
expression.  `awk' scans the input record for matches for the
separator; the fields themselves are the text between the matches.  For
example, if the field separator is `oo', then the following line:
     moo goo gai pan
would be split into three fields: `m', ` g' and ` gai  pan'.
   The field separator is represented by the built-in variable `FS'.
Shell programmers take note!  `awk' does not use the name `IFS' which
is used by the shell.
   You can change the value of `FS' in the `awk' program with the
assignment operator, `=' (*note Assignment Expressions: Assignment
Ops.).  Often the right time to do this is at the beginning of
execution, before any input has been processed, so that the very first
record will be read with the proper separator.  To do this, use the
special `BEGIN' pattern (*note `BEGIN' and `END' Special Patterns:
BEGIN/END.).  For example, here we set the value of `FS' to the string
`","':
     awk 'BEGIN { FS = "," } ; { print $2 }'
Given the input line,
     John Q. Smith, 29 Oak St., Walamazoo, MI 42139
this `awk' program extracts 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'.  From input containing
such a name:
     John Q. Smith, LXIX, 29 Oak St., Walamazoo, MI 42139
the previous sample program 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 such problems.
   As you know, by default, fields are separated by whitespace sequences
(spaces and tabs), not by single spaces: two spaces in a row do not
delimit an empty field.  The default value of the field separator is a
string `" "' containing a single space.  If this value were interpreted
in the usual way, each space character would separate fields, so two
spaces in a row would make an empty field between them.  The reason
this does not happen is that a single space as the value of `FS' is a
special case: it is taken to specify the default manner of delimiting
fields.
   If `FS' is any other single character, such as `","', then each
occurrence of that character separates two fields.  Two consecutive
occurrences delimit an empty field.  If the character occurs at the
beginning or the end of the line, that too delimits an empty field.  The
space character is the only single character which does not follow these
rules.
   More generally, the value of `FS' may be a string containing any
regular expression.  Then each match in the record for the regular
expression separates fields.  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.)
   For a less trivial example of a regular expression, suppose you want
single spaces to separate fields the way single commas were used above.
You can set `FS' to `"[ ]"'.  This regular expression matches a single
space and nothing else.
   `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.
   The value used for the argument to `-F' is processed in exactly the
same way as assignments to the built-in variable `FS'.  This means that
if the field separator contains special characters, they must be escaped
appropriately.  For example, to use a `\' as the field separator, you
would have to type:
     # same as FS = "\\"
     awk -F\\\\ '...' files ...
Since `\' is used for quoting in the shell, `awk' will see `-F\\'.
Then `awk' processes the `\\' for escape characters (*note Constant
Expressions: Constants.), finally yielding a single `\' to be used for
the field separator.
   As a special case, in compatibility mode (*note Invoking `awk':
Command Line.), 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 `-v
FS="t"' on the command line 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'.  Here is the
program:
     /300/   { print $1 }
   Let's also set `FS' to be the `-' character, and run the program on
the file `BBS-list'.  The following command prints 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
It 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.
   The following program searches the system password file, and prints
the entries for users who have no password:
     awk -F: '$2 == ""' /etc/passwd
Here we use the `-F' option on the command line to set the field
separator.  Note that 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.
   According to the POSIX standard, `awk' is supposed to behave as if
each record is split into fields at the time that it is read.  In
particular, this means that you can change the value of `FS' after a
record is read, but before any of the fields are referenced.  The value
of the fields (i.e. how they were split) should reflect the old value
of `FS', not the new one.
   However, many implementations of `awk' do not do this.  Instead,
they defer splitting the fields until a field reference actually
happens, using the *current* value of `FS'!  This behavior can be
difficult to diagnose. The following example illustrates the results of
the two methods.  (The `sed' command prints just the first line of
`/etc/passwd'.)
     sed 1q /etc/passwd | awk '{ FS = ":" ; print $1 }'
will usually print
     root
on an incorrect implementation of `awk', while `gawk' will print
something like
     root:nSijPlPhZZwgE:0:0:Root:/:
   There is an important difference between the two cases of `FS = " "'
(a single blank) and `FS = "[ \t]+"' (which is a regular expression
matching one or more blanks or tabs).  For both values of `FS', fields
are separated by runs of blanks and/or tabs.  However, when the value of
`FS' is `" "', `awk' will strip leading and trailing whitespace from
the record, and then decide where the fields are.
   For example, the following expression prints `b':
     echo ' a b c d ' | awk '{ print $2 }'
However, the following prints `a':
     echo ' a b c d ' | awk 'BEGIN { FS = "[ \t]+" } ; { print $2 }'
In this case, the first field is null.
   The stripping of leading and trailing whitespace also comes into
play whenever `$0' is recomputed.  For instance, this pipeline
     echo '   a b c d' | awk '{ print; $2 = $2; print }'
produces this output:
        a b c d
     a b c d
The first `print' statement prints the record as it was read, with
leading whitespace intact.  The assignment to `$2' rebuilds `$0' by
concatenating `$1' through `$NF' together, separated by the value of
`OFS'.  Since the leading whitespace was ignored when finding `$1', it
is not part of the new `$0'.  Finally, the last `print' statement
prints the new `$0'.
   The following table summarizes how fields are split, based on the
value of `FS'.
`FS == " "'
     Fields are separated by runs of whitespace.  Leading and trailing
     whitespace are ignored.  This is the default.
`FS == ANY SINGLE CHARACTER'
     Fields are separated by each occurrence of the character.  Multiple
     successive occurrences delimit empty fields, as do leading and
     trailing occurrences.
`FS == REGEXP'
     Fields are separated by occurrences of characters that match
     REGEXP.  Leading and trailing matches of REGEXP delimit empty
     fields.
File: gawk.info,  Node: Constant Size,  Next: Multiple Line,  Prev: Field Separators,  Up: Reading Files
Reading Fixed-width Data
========================
   (This section discusses an advanced, experimental feature.  If you
are a novice `awk' user, you may wish to skip it on the first reading.)
   `gawk' 2.13 introduced a new facility for dealing with fixed-width
fields with no distinctive field separator.  Data of this nature arises
typically in one of at least two ways:  the input for old FORTRAN
programs where numbers are run together, and the output of programs
that did not anticipate the use of their output as input for other
programs.
   An example of the latter is a table where all the columns are lined
up by the use of a variable number of spaces and *empty fields are just
spaces*.  Clearly, `awk''s normal field splitting based on `FS' will
not work well in this case.  (Although a portable `awk' program can use
a series of `substr' calls on `$0', this is awkward and inefficient for
a large number of fields.)
   The splitting of an input record into fixed-width fields is
specified by assigning a string containing space-separated numbers to
the built-in variable `FIELDWIDTHS'.  Each number specifies the width
of the field *including* columns between fields.  If you want to ignore
the columns between fields, you can specify the width as a separate
field that is subsequently ignored.
   The following data is the output of the `w' utility.  It is useful
to illustrate the use of `FIELDWIDTHS'.
      10:06pm  up 21 days, 14:04,  23 users
     User     tty       login  idle   JCPU   PCPU  what
     hzuo     ttyV0     8:58pm            9      5  vi p24.tex
     hzang    ttyV3     6:37pm    50                -csh
     eklye    ttyV5     9:53pm            7      1  em thes.tex
     dportein ttyV6     8:17pm  1:47                -csh
     gierd    ttyD3    10:00pm     1                elm
     dave     ttyD4     9:47pm            4      4  w
     brent    ttyp0    26Jun91  4:46  26:46   4:41  bash
     dave     ttyq4    26Jun9115days     46     46  wnewmail
   The following program takes the above input, converts the idle time
to number of seconds and prints out the first two fields and the
calculated idle time.  (This program uses a number of `awk' features
that haven't been introduced yet.)
     BEGIN  { FIELDWIDTHS = "9 6 10 6 7 7 35" }
     NR > 2 {
         idle = $4
         sub(/^  */, "", idle)   # strip leading spaces
         if (idle == "") idle = 0
         if (idle ~ /:/) { split(idle, t, ":"); idle = t[1] * 60 + t[2] }
         if (idle ~ /days/) { idle *= 24 * 60 * 60 }

         print $1, $2, idle
     }
   Here is the result of running the program on the data:
     hzuo      ttyV0  0
     hzang     ttyV3  50
     eklye     ttyV5  0
     dportein  ttyV6  107
     gierd     ttyD3  1
     dave      ttyD4  0
     brent     ttyp0  286
     dave      ttyq4  1296000
   Another (possibly more practical) example of fixed-width input data
would be the input from a deck of balloting cards.  In some parts of
the United States, voters make their choices by punching holes in
computer cards.  These cards are then processed to count the votes for
any particular candidate or on any particular issue.  Since a voter may
choose not to vote on some issue, any column on the card may be empty.
An `awk' program for processing such data could use the `FIELDWIDTHS'
feature to simplify reading the data.
   This feature is still experimental, and will likely evolve over time.
File: gawk.info,  Node: Multiple Line,  Next: Getline,  Prev: Constant Size,  Up: Reading Files
Multiple-Line Records
=====================
   In some data bases, a single line cannot conveniently hold all the
information in one entry.  In such cases, you can 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 do 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).  Any other character could equally
well be used, as long as it won't be part of the data in a record.
   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 always ends at the first blank line
encountered.  And the next record doesn't start until the first nonblank
line that follows--no matter how many blank lines appear in a row, they
are considered one record-separator. (End of file is also considered a
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 way to separate fields is to divide each of the lines into
fields in the normal manner.  This happens by default as a result of a
special feature: when `RS' is set to the null string, the newline
character *always* acts as a field separator.  This is in addition to
whatever field separations result from `FS'.
   The original motivation for this special exception was probably so
that you get useful behavior in the default case (i.e., `FS == " "').
This feature can be a problem if you really don't want the newline
character to separate fields, since there is no way to prevent it.
However, you can work around this by using the `split' function to
break up the record manually (*note Built-in Functions for String
Manipulation: String Functions.).
File: gawk.info,  Node: Getline,  Next: Close Input,  Prev: Multiple Line,  Up: Reading Files
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 command 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.
It is covered here because this is the chapter on input.  The examples
that follow the explanation of the `getline' command include material
that has not been covered yet.  Therefore, come back and study the
`getline' command *after* you have reviewed the rest of this manual and
have a good knowledge of how `awk' works.
   `getline' returns 1 if it finds a record, and 0 if the end of the
file is encountered.  If there is some error in getting a record, such
as a file that cannot be opened, then `getline' returns -1.  In this
case, `gawk' sets the variable `ERRNO' to a string describing the error
that occurred.
   In the following examples, COMMAND stands for a string value that
represents a shell command.
`getline'
     The `getline' command can be used without arguments to read input
     from the current input file.  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 == 0) {
                         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 C-style comments, `/* ...  */',
     from the input.  By replacing the `print $0' with other
     statements, you could perform more complicated processing on the
     decommented input, like searching for matches of a regular
     expression.  (This program has a subtle problem--can you spot it?)
     This form of the `getline' command sets `NF' (the number of
     fields; *note Examining Fields: Fields.), `NR' (the number of
     records read so far; *note How Input is Split into Records:
     Records.), `FNR' (the number of records read from this input
     file), and the value of `$0'.
     *Note:* the new value of `$0' is 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.  *Note The `next' Statement: 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 current 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 trigger any rules.  This version of `getline' allows 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 the variables
     `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.  `< FILE' is called a "redirection" since it directs
     input to come from a different place.
     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 from which to
     read.
     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' function is called to ensure that if two identical
     `@include' lines appear in the input, the entire specified file is
     included twice.  *Note Closing Input Files and Pipes: Close Input.
     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' function is called to ensure that if two identical
     `@execute' lines appear in the input, the command is run for each
     one.  *Note Closing Input Files and Pipes: Close Input.
     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 who is logged in on your system.)
     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 `date' utility, 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.
File: gawk.info,  Node: Close Input,  Prev: Getline,  Up: Reading Files
Closing Input Files and Pipes
=============================
   If the same file name or the same shell command is used with
`getline' more than once during the execution of an `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.
   This implies that if you want to start reading the same file again
from the beginning, or if you want to rerun a shell command (rather than
reading more output from the command), you must take special steps.
What you must do is use the `close' function, as follows:
     close(FILENAME)
     close(COMMAND)
   The argument FILENAME or COMMAND can be any expression.  Its value
must exactly equal the string that was used to open the file or start
the command--for example, if you open a pipe with this:
     "sort -r names" | getline foo
then you must close it with this:
     close("sort -r names")
   Once this function call is executed, the next `getline' from that
file or command will reopen the file or rerun the command.
   `close' returns a value of zero if the close succeeded.  Otherwise,
the value will be non-zero.  In this case, `gawk' sets the variable
`ERRNO' to a string describing the error that occurred.
File: gawk.info,  Node: Printing,  Next: One-liners,  Prev: Reading Files,  Up: Top
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.
* Menu:
* Print::                       The `print' statement.
* Print Examples::              Simple examples of `print' statements.
* Output Separators::           The output separators and how to change them.
* OFMT::                        Controlling Numeric Output With `print'.
* Printf::                      The `printf' statement.
* Redirection::                 How to redirect output to multiple
                                files and pipes.
* Special Files::               File name interpretation in `gawk'.
                                `gawk' allows access to
                                inherited file descriptors.
File: gawk.info,  Node: Print,  Next: Print Examples,  Prev: Printing,  Up: Printing
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
(*note Redirecting Output of `print' and `printf': Redirection.).  The
relational operators are `==', `!=', `<', `>', `>=', `<=', `~' and `!~'
(*note Comparison Expressions: Comparison Ops.).
   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 two exceptions, you cannot specify *how* to print
them--how many columns, whether to use exponential notation or not, and
so on.  (*Note Output Separators::, and *Note Controlling Numeric
Output with `print': OFMT.) For that, you need the `printf' statement
(*note Using `printf' Statements for Fancier Printing: Printf.).
   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.
   To print a fixed piece of text, use a string constant such as
`"Hello there"' as one item.  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 is printed
between any two items.
   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.
File: gawk.info,  Node: Print Examples,  Next: Output Separators,  Prev: Print,  Up: Printing
Examples of `print' Statements
==============================
   Here is an example of printing a string that contains embedded
newlines:
     awk 'BEGIN { print "line one\nline two\nline three" }'
produces output like this:
     line one
     line two
     line three
   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
(*note `BEGIN' and `END' Special Patterns: BEGIN/END.) to force the
headings to be printed only once:
     awk 'BEGIN {  print "Month Crates"
                   print "----- ------" }
                {  print $1, $2 }' inventory-shipped
Did you already guess what happens?  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
(*note Using `printf' Statements for Fancier Printing: Printf.); one of
its specialties is lining up columns of data.