Overview
Questions
Objectives
grep
to select lines from text files that match simple patterns.find
to find files whose names match simple patterns.Keypoints
find
finds files with specific properties that match patterns.grep
selects lines in files that match patterns.--help
is an option supported by many bash commands, and programs that can be run from within Bash, to display more information on how to use these commands or programs.man command
displays the manual page for a given command.$(command)
inserts a command’s output in place.In the same way that many of us now use “Google” as a verb meaning “to find”, Unix programmers often use the word “grep”. “grep” is a contraction of “global/regular expression/print”, a common sequence of operations in early Unix text editors. It is also the name of a very useful command-line program.
grep
finds and prints lines in files that match a pattern.
For our examples,
we will use a file that contains three haikus taken from a
1998 competition in Salon magazine. For this set of examples,
we’re going to be working in the writing subdirectory:
Input:
$ cd
$ cd Desktop/data-shell/writing
$ cat haiku.txt
We haven’t linked to the original haikus because they don’t appear to be on Salon’s site any longer. As Jeff Rothenberg said, “Digital information lasts forever — or five years, whichever comes first.” Luckily, popular content often has backups.
Let’s find lines that contain the word “not”:
Input:
$ grep not haiku.txt
Output:
Is not the true Tao, until
'My Thesis' not found
Today it is not working
Here, not is the pattern we are searching for. The grep command searches through the file, looking for matches to the pattern specified. To use it type grep
, then the pattern we’re searching for and finally the name of the file (or files) we’re searching in.
The output is the three lines in the file that contain the letters “not”.
By default, grep searches for a pattern in a case-sensitive way. In addition, the search pattern we have selected does not have to form a complete word, as we will see in the next example.
Let us search for the pattern: “The”.
Input:
$ grep The haiku.txt
Output:
The Tao that is seen
"My Thesis" not found.
This time, two lines that include the letters “The” are outputted, one of which contained our search pattern within a larger word, “Thesis”.
To restrict matches to lines containing the word “The” on its own,
we can give grep
with the -w
option.
This will limit matches to word boundaries.
Later in this lesson, we will also see how we can change the search behavior of grep with respect to its case sensitivity.
Input:
$ grep -w The haiku.txt
Output:
The Tao that is seen
Note that a “word boundary” includes the start and end of a line, so not
just letters surrounded by spaces.
Sometimes we do not
want to search for a single word, but a phrase. This is also easy to do with
grep
by putting the phrase in quotes.
$ grep -w "is not" haiku.txt
Today it is not working
We have now seen that you do not have to have quotes around single words, but it is useful to use quotes when searching for multiple words. It also helps to make it easier to distinguish between the search term or phrase and the file being searched. We will use quotes in the remaining examples.
Another useful option is -n
, which numbers the lines that match:
$ grep -n "it" haiku.txt
5:With searching comes loss
9:Yesterday it worked
10:Today it is not working
Here, we can see that lines 5, 9, and 10 contain the letters “it”.
We can combine options (i.e. flags) as we do with other Unix commands.
For example, let us find the lines that contain the word “the”. We can combine
the option -w
to find the lines that contain the word “the” and -n
to number the lines that match:
$ grep -n -w "the" haiku.txt
2:Is not the true Tao, until
6:and the presence of absence:
Now we want to use the option -i
to make our search case-insensitive:
$ grep -n -w -i "the" haiku.txt
2:Is not the true Tao, until
1:The Tao that is seen
2:Is not the true Tao, until
6:and the presence of absence:
Now, we want to use the option -v
to invert our search, i.e., we want to output
the lines that do not contain the word “the”.
$ grep -n -w -v "the" haiku.txt
1:The Tao that is seen
3:You bring fresh toner.
4:
5:With searching comes loss
7:"My Thesis" not found.
8:
9:Yesterday it worked
10:Today it is not working
11:Software is like that.
grep
has lots of other options. To find out what they are, we can type:
$ grep --help
Usage: grep [OPTION]... PATTERN [FILE]...
Search for PATTERN in each FILE or standard input.
PATTERN is, by default, a basic regular expression (BRE).
Example: grep -i 'hello world' menu.h main.c
Regexp selection and interpretation:
-E, --extended-regexp PATTERN is an extended regular expression (ERE)
-F, --fixed-strings PATTERN is a set of newline-separated fixed strings
-G, --basic-regexp PATTERN is a basic regular expression (BRE)
-P, --perl-regexp PATTERN is a Perl regular expression
-e, --regexp=PATTERN use PATTERN for matching
-f, --file=FILE obtain PATTERN from FILE
-i, --ignore-case ignore case distinctions
-w, --word-regexp force PATTERN to match only whole words
-x, --line-regexp force PATTERN to match only whole lines
-z, --null-data a data line ends in 0 byte, not newline
Miscellaneous:
... ... ...
Exercise: Using grep
Which command would result in the following output:
and the presence of absence:
grep "of" haiku.txt
grep -E "of" haiku.txt
grep -w "of" haiku.txt
grep -i "of" haiku.txt
The correct answer is 3, because the ‘-w’ option looks only for whole-word matches. The other options will also match “of” when part of another word.
grep
’s real power doesn’t come from its options, though; it comes from
the fact that patterns can include wildcards. (The technical name for
these is regular expressions, which
is what the “re” in “grep” stands for.) Regular expressions are both complex
and powerful; if you want to do complex searches, please look at the lesson
on our website. As a taster, we can
find lines that have an ‘o’ in the second position like this:
Input:
$ grep -E '^.o' haiku.txt
Output:
You bring fresh toner.
Today it is not working
Software is like that.
We use the -E
option and put the pattern in quotes to prevent the shell
from trying to interpret it. (If the pattern contained a *
, for
example, the shell would try to expand it before running grep
.) The
^
in the pattern anchors the match to the start of the line. The .
matches a single character (just like ?
in the shell), while the o
matches an actual ‘o’.
Leah has several hundred data files saved in one directory, each of which is formatted like this:
Output:
2013-11-05,deer,5
2013-11-05,rabbit,22
2013-11-05,raccoon,7
2013-11-06,rabbit,19
2013-11-06,deer,2
She wants to write a shell script that takes a species as the first command-line argument
and a directory as the second argument. The script should return one file called species.txt
containing a list of dates and the number of that species seen on each date.
For example using the data shown above, rabbit.txt
would contain:
Output:
2013-11-05,22
2013-11-06,19
Exercise: Help Leah
Put these commands and pipes in the right order to achieve Leah’s goal:
cut -d : -f 2
|
grep -w $1 -r $2
|
$1.txt
cut -d , -f 1,3
Hint: use man grep
to look for how to grep text recursively in a directory
and man cut
to select more than one field in a line.
An example of such a file is provided in data-shell/data/animal-counts/animals.txt
grep -w $1 -r $2 | cut -d : -f 2 | cut -d , -f 1,3 $1.txt
You would call the script above like this:
$ bash count-species.sh bear
Extra credit: Little Women
You and your friend, having just finished reading Little Women by
Louisa May Alcott, are in an argument. Of the four sisters in the
book, Jo, Meg, Beth, and Amy, your friend thinks that Jo was the
most mentioned. You, however, are certain it was Amy. Luckily, you
have a file LittleWomen.txt
containing the full text of the novel
(data-shell/writing/data/LittleWomen.txt
).
Using a for
loop, how would you tabulate the number of times each
of the four sisters is mentioned?
Hint: one solution might employ
the commands grep
and wc
and a |
, while another might utilize
grep
options.
There is often more than one way to solve a programming task, so a
particular solution is usually chosen based on a combination of
yielding the correct result, elegance, readability, and speed.
for sis in Jo Meg Beth Amy
do
echo $sis:
grep -ow $sis LittleWomen.txt | wc -l
done
Alternative, slightly inferior solution:
for sis in Jo Meg Beth Amy
do
echo $sis:
grep -ocw $sis LittleWomen.txt
done
This solution is inferior because grep -c
only reports the number of lines matched.
The total number of matches reported by this method will be lower if there is more
than one match per line.
Perceptive observers may have noticed that character names sometimes appear in all-uppercase in chapter titles (e.g. “MEG GOES TO VANITY FAIR”).
If you wanted to count these as well, you could add the -i
option for case-insensitivity
(though in this case, it doesn’t affect the answer to which sister is mentioned most frequently).
While grep
finds lines in files,
the find
command finds files themselves.
Again,
it has a lot of options;
to show how the simplest ones work, we’ll use the directory tree shown below.
Nelle’s writing
directory contains one file called haiku.txt
and three subdirectories:
thesis
(which contains a sadly empty file, empty-draft.md
);
data
(which contains three files LittleWomen.txt
, one.txt
and two.txt
);
and a tools
directory that contains the programs format
and stats
,
and a subdirectory called old
, with a file oldtool
.
For our first command,
let’s run find .
(remember to run this command from the data-shell/writing
folder).
Input:
$ find .
Output:
.
./data
./data/one.txt
./data/LittleWomen.txt
./data/two.txt
./tools
./tools/format
./tools/old
./tools/old/oldtool
./tools/stats
./haiku.txt
./thesis
./thesis/empty-draft.md
As always,
the .
on its own means the current working directory,
which is where we want our search to start.
find
’s output is the names of every file and directory
under the current working directory.
This can seem useless at first but find
has many options
to filter the output and in this lesson we will discover some
of them.
The first option in our list is
-type d
that means “things that are directories”.
Sure enough,
find
’s output is the names of the five directories in our little tree
(including .
):
Input:
$ find . -type d
Output:
./
./data
./thesis
./tools
./tools/old
Notice that the objects find
finds are not listed in any particular order.
If we change -type d
to -type f
,
we get a listing of all the files instead:
Input:
$ find . -type f
Output:
./haiku.txt
./tools/stats
./tools/old/oldtool
./tools/format
./thesis/empty-draft.md
./data/one.txt
./data/LittleWomen.txt
./data/two.txt
Now let’s try matching by name:
Input:
$ find . -name *.txt
Output:
./haiku.txt
We expected it to find all the text files,
but it only prints out ./haiku.txt
.
The problem is that the shell expands wildcard characters like *
before commands run.
Since *.txt
in the current directory expands to haiku.txt
,
the command we actually ran was:
$ find . -name haiku.txt
find
did what we asked; we just asked for the wrong thing.
To get what we want,
let’s do what we did with grep
:
put *.txt
in single quotes to prevent the shell from expanding the *
wildcard.
This way,
find
actually gets the pattern *.txt
, not the expanded filename haiku.txt
:
Input:
$ find . -name '*.txt'
Output:
./data/one.txt
./data/LittleWomen.txt
./data/two.txt
./haiku.txt
ls
and find
can be made to do similar things given the right options,
but under normal circumstances,
ls
lists everything it can,
while find
searches for things with certain properties and shows them.
As we said earlier,
the command line’s power lies in combining tools.
We’ve seen how to do that with pipes;
let’s look at another technique.
As we just saw,
find . -name '*.txt'
gives us a list of all text files in or below the current directory.
How can we combine that with wc -l
to count the lines in all those files?
The simplest way is to put the find
command inside $()
:
Input:
$ wc -l $(find . -name '*.txt')
Output:
11 ./haiku.txt
300 ./data/two.txt
21022 ./data/LittleWomen.txt
70 ./data/one.txt
21403 total
When the shell executes this command,
the first thing it does is run whatever is inside the $()
.
It then replaces the $()
expression with that command’s output.
Since the output of find
is the four filenames ./data/one.txt
, ./data/LittleWomen.txt
, ./data/two.txt
, and ./haiku.txt
,
the shell constructs the command:
$ wc -l ./data/one.txt ./data/LittleWomen.txt ./data/two.txt ./haiku.txt
which is what we wanted.
This expansion is exactly what the shell does when it expands wildcards like *
and ?
,
but lets us use any command we want as our own “wildcard”.
It’s very common to use find
and grep
together.
The first finds files that match a pattern;
the second looks for lines inside those files that match another pattern.
Here, for example, we can find PDB files that contain iron atoms
by looking for the string “FE” in all the .pdb
files above the current directory:
$ grep "FE" $(find .. -name '*.pdb')
../data/pdb/heme.pdb:ATOM 25 FE 1 -0.924 0.535 -0.518
Exercise: matching
The -v
option to grep
inverts pattern matching, so that only lines
which do not match the pattern are printed. Given that, which of
the following commands will find all files in /data
whose names
end in s.txt
(e.g., animals.txt
or planets.txt
), but do
not contain the word net
?
find data -name '*s.txt' | grep -v net
find data -name *s.txt | grep -v net
grep -v "temp" $(find data -name '*s.txt')
Once you have thought about your answer, you can test the commands in the data-shell
directory.
The correct answer is 1. Putting the match expression in quotes prevents the shell expanding it, so it gets passed to the ‘find’ command.
Option 2 is incorrect because the shell expands ‘*s.txt’ instead of passing the wildcard expression to ‘find’.
Option 3 is incorrect because it searches the contents of the files for lines which do not match “temp”, rather than searching the file names.
Note: Binary Files
We have focused exclusively on finding patterns in text files. What if your data is stored as images, in databases, or in some other format?
A handful of tools extend grep
to handle a few non text formats. But a
more generalizable approach is to convert the data to text, or
extract the text-like elements from the data. On the one hand, it makes simple
things easy to do. On the other hand, complex things are usually impossible. For
example, it’s easy enough to write a program that will extract X and Y
dimensions from image files for grep
to play with, but how would you
write something to find values in a spreadsheet whose cells contained
formulas?
A last option is to recognize that the shell and text processing have their limits, and to use another programming language. When the time comes to do this, don’t be too hard on the shell: many modern programming languages have borrowed a lot of ideas from it, and imitation is also the sincerest form of praise.
The Unix shell is older than most of the people who use it. It has survived so long because it is one of the most productive programming environments ever created — maybe even the most productive. Its syntax may be cryptic, but people who have mastered it can experiment with different commands interactively, then use what they have learned to automate their work. Graphical user interfaces may be better at the first, but the shell is still unbeaten at the second. And as Alfred North Whitehead wrote in 1911, “Civilization advances by extending the number of important operations which we can perform without thinking about them.”
find
Pipeline Reading ComprehensionExercise: Test your understanding
Write a short explanatory comment for the following shell script:
wc -l $(find . -name '*.dat') | sort -n
# 1. Find all files with a `.dat` extension recursively from the current directory
# 2. Count the number of lines each of these files contains
# 3. Sort the output from step 2. numerically
Exercise: find with properties
The find
command can be given several other criteria known as “tests”
to locate files with specific attributes, such as creation time, size,
permissions, or ownership. Use man find
to explore these, and then
write a single command to find all files in or below the current directory
that are owned by the user ahmed
and were modified in the last 24 hours.
Hint 1: you will need to use three tests: -type
, -mtime
, and -user
.
Hint 2: The value for -mtime
will need to be negative—why?
Assuming that Nelle’s home is our working directory we type:
$ find ./ -type f -mtime -1 -user ahmed