In some databases, a single line cannot conveniently hold all the information in one entry. In such cases, you can use multiline records. The first step in doing this is to choose your data format.
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, an empty string as the value of RS
indicates that
records are separated by one or more blank lines. When RS
is set
to the empty string, each record always ends at the first blank line
encountered. The next record doesn’t start until the first nonblank
line that follows. No matter how many blank lines appear in a row, they
all act as one record separator.
(Blank lines must be completely empty; lines that contain only
whitespace do not count.)
You can achieve the same effect as ‘RS = ""’ by assigning the
string "\n\n+"
to RS
. This regexp matches the newline
at the end of the record and one or more blank lines after the record.
In addition, a regular expression always matches the longest possible
sequence when there is a choice
(see How Much Text Matches?).
So, 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.
However, there is an important difference between ‘RS = ""’ and ‘RS = "\n\n+"’. In the first case, leading newlines in the input data file are ignored, and if a file ends without extra blank lines after the last record, the final newline is removed from the record. In the second case, this special processing is not done. (d.c.)
Now that the input is separated into records, the second step is to
separate the fields in the records. One way to do this is to divide each
of the lines into fields in the normal manner. This happens by default
as the result of a special feature. When RS
is set to the empty
string and FS
is set to a single character,
the newline character always acts as a field separator.
This is in addition to whatever field separations result from
FS
.
NOTE: When
FS
is the null string (""
) or a regexp, this special feature ofRS
does not apply. It does apply to the default field separator of a single space: ‘FS = " "’.Note that language in the POSIX specification implies that this special feature should apply when
FS
is a regexp. However, Unixawk
has never behaved that way, nor hasgawk
. This is essentially a bug in POSIX.
The original motivation for this special exception was probably to provide
useful behavior in the default case (i.e., FS
is equal
to " "
). This feature can be a problem if you really don’t
want the newline character to separate fields, because there is no way to
prevent it. However, you can work around this by using the split()
function to break up the record manually
(see String-Manipulation Functions).
If you have a single-character field separator, you can work around
the special feature in a different way, by making FS
into a
regexp for that single character. For example, if the field
separator is a percent character, instead of
‘FS = "%"’, use ‘FS = "[%]"’.
Another way to separate fields is to
put each field on a separate line: to do this, just set the
variable FS
to the string "\n"
.
(This single-character separator matches a single newline.)
A practical example of a data file organized this way might be a mailing
list, where blank lines separate the entries. Consider a mailing
list in a file named addresses, which looks like this:
Jane Doe 123 Main Street Anywhere, SE 12345-6789 John Smith 456 Tree-lined Avenue Smallville, MW 98765-4321 ...
A simple program to process this file is as follows:
# addrs.awk --- simple mailing list program # Records are separated by blank lines. # Each line is one field. BEGIN { RS = "" ; FS = "\n" } { print "Name is:", $1 print "Address is:", $2 print "City and State are:", $3 print "" }
Running the program produces the following output:
$ awk -f addrs.awk addresses -| Name is: Jane Doe -| Address is: 123 Main Street -| City and State are: Anywhere, SE 12345-6789 -| -| Name is: John Smith -| Address is: 456 Tree-lined Avenue -| City and State are: Smallville, MW 98765-4321 -| ...
See Printing Mailing Labels for a more realistic program dealing with
address lists. The following list summarizes how records are split,
based on the value of
RS
:
RS == "\n"
Records are separated by the newline character (‘\n’). In effect, every line in the data file is a separate record, including blank lines. This is the default.
RS == any single character
Records are separated by each occurrence of the character. Multiple successive occurrences delimit empty records.
RS == ""
Records are separated by runs of blank lines.
When FS
is a single character, then
the newline character
always serves as a field separator, in addition to whatever value
FS
may have. Leading and trailing newlines in a file are ignored.
RS == regexp
Records are separated by occurrences of characters that match regexp.
Leading and trailing matches of regexp delimit empty records.
(This is a gawk
extension; it is not specified by the
POSIX standard.)
If not in compatibility mode (see Command-Line Options), gawk
sets
RT
to the input text that matched the value specified by RS
.
But if the input file ended without any text that matches RS
,
then gawk
sets RT
to the null string.