Pipes and Filters
Last updated on 2024-05-23 | Edit this page
Estimated time: 35 minutes
Overview
Questions
- How can I combine existing commands to produce a desired output?
- How can I show only part of the output?
Objectives
- Explain the advantage of linking commands with pipes and filters.
- Combine sequences of commands to get new output
- Redirect a command’s output to a file.
- Explain what usually happens if a program or pipeline isn’t given any input to process.
Now that we know a few basic commands, we can finally look at the
shell’s most powerful feature: the ease with which it lets us combine
existing programs in new ways. We’ll start with the directory
shell-lesson-data/exercise-data/alkanes
that contains six
files describing some simple organic molecules. The .pdb
extension indicates that these files are in Protein Data Bank format, a
simple text format that specifies the type and position of each atom in
the molecule.
OUTPUT
cubane.pdb methane.pdb pentane.pdb
ethane.pdb octane.pdb propane.pdb
Let’s run an example command:
OUTPUT
20 156 1158 cubane.pdb
wc
is the ‘word count’ command: it counts the number of
lines, words, and characters in files (returning the values in that
order from left to right).
If we run the command wc *.pdb
, the *
in
*.pdb
matches zero or more characters, so the shell turns
*.pdb
into a list of all .pdb
files in the
current directory:
OUTPUT
20 156 1158 cubane.pdb
12 84 622 ethane.pdb
9 57 422 methane.pdb
30 246 1828 octane.pdb
21 165 1226 pentane.pdb
15 111 825 propane.pdb
107 819 6081 total
Note that wc *.pdb
also shows the total number of all
lines in the last line of the output.
If we run wc -l
instead of just wc
, the
output shows only the number of lines per file:
OUTPUT
20 cubane.pdb
12 ethane.pdb
9 methane.pdb
30 octane.pdb
21 pentane.pdb
15 propane.pdb
107 total
The -m
and -w
options can also be used with
the wc
command to show only the number of characters or the
number of words, respectively.
Why Isn’t It Doing Anything?
What happens if a command is supposed to process a file, but we don’t give it a filename? For example, what if we type:
but don’t type *.pdb
(or anything else) after the
command? Since it doesn’t have any filenames, wc
assumes it
is supposed to process input given at the command prompt, so it just
sits there and waits for us to give it some data interactively. From the
outside, though, all we see is it sitting there, and the command doesn’t
appear to do anything.
If you make this kind of mistake, you can escape out of this state by holding down the control key (Ctrl) and pressing the letter C once: Ctrl+C. Then release both keys.
Capturing output from commands
Which of these files contains the fewest lines? It’s an easy question to answer when there are only six files, but what if there were 6000? Our first step toward a solution is to run the command:
The greater than symbol, >
, tells the shell to
redirect the command’s output to a file instead of
printing it to the screen. This command prints no screen output, because
everything that wc
would have printed has gone into the
file lengths.txt
instead. If the file doesn’t exist prior
to issuing the command, the shell will create the file. If the file
exists already, it will be silently overwritten, which may lead to data
loss. Thus, redirect commands require caution.
ls lengths.txt
confirms that the file exists:
OUTPUT
lengths.txt
We can now send the content of lengths.txt
to the screen
using cat lengths.txt
. The cat
command gets
its name from ‘concatenate’ i.e. join together, and it prints the
contents of files one after another. There’s only one file in this case,
so cat
just shows us what it contains:
OUTPUT
20 cubane.pdb
12 ethane.pdb
9 methane.pdb
30 octane.pdb
21 pentane.pdb
15 propane.pdb
107 total
Output Page by Page
We’ll continue to use cat
in this lesson, for
convenience and consistency, but it has the disadvantage that it always
dumps the whole file onto your screen. More useful in practice is the
command less
(e.g. less lengths.txt
). This
displays a screenful of the file, and then stops. You can go forward one
screenful by pressing the spacebar, or back one by pressing
b
. Press q
to quit.
Filtering output
Next we’ll use the sort
command to sort the contents of
the lengths.txt
file. But first we’ll do an exercise to
learn a little about the sort command:
What Does sort -n
Do?
The file shell-lesson-data/exercise-data/numbers.txt
contains the following lines:
10
2
19
22
6
If we run sort
on this file, the output is:
OUTPUT
10
19
2
22
6
If we run sort -n
on the same file, we get this
instead:
OUTPUT
2
6
10
19
22
Explain why -n
has this effect.
The -n
option specifies a numerical rather than an
alphanumerical sort.
We will also use the -n
option to specify that the sort
is numerical instead of alphanumerical. This does not change
the file; instead, it sends the sorted result to the screen:
OUTPUT
9 methane.pdb
12 ethane.pdb
15 propane.pdb
20 cubane.pdb
21 pentane.pdb
30 octane.pdb
107 total
We can put the sorted list of lines in another temporary file called
sorted-lengths.txt
by putting
> sorted-lengths.txt
after the command, just as we used
> lengths.txt
to put the output of wc
into
lengths.txt
. Once we’ve done that, we can run another
command called head
to get the first few lines in
sorted-lengths.txt
:
OUTPUT
9 methane.pdb
Using -n 1
with head
tells it that we only
want the first line of the file; -n 20
would get the first
20, and so on. Since sorted-lengths.txt
contains the
lengths of our files ordered from least to greatest, the output of
head
must be the file with the fewest lines.
What Does >>
Mean?
We have seen the use of >
, but there is a similar
operator >>
which works slightly differently. We’ll
learn about the differences between these two operators by printing some
strings. We can use the echo
command to print strings
e.g.
OUTPUT
The echo command prints text
Now test the commands below to reveal the difference between the two operators:
and:
Hint: Try executing each command twice in a row and then examining the output files.
In the first example with >
, the string ‘hello’ is
written to testfile01.txt
, but the file gets overwritten
each time we run the command.
We see from the second example that the >>
operator also writes ‘hello’ to a file (in this case
testfile02.txt
), but appends the string to the file if it
already exists (i.e. when we run it for the second time).
Appending Data
We have already met the head
command, which prints lines
from the start of a file. tail
is similar, but prints lines
from the end of a file instead.
Consider the file
shell-lesson-data/exercise-data/animal-counts/animals.csv
.
After these commands, select the answer that corresponds to the file
animals-subset.csv
:
- The first three lines of
animals.csv
- The last two lines of
animals.csv
- The first three lines and the last two lines of
animals.csv
- The second and third lines of
animals.csv
Option 3 is correct. For option 1 to be correct we would only run the
head
command. For option 2 to be correct we would only run
the tail
command. For option 4 to be correct we would have
to pipe the output of head
into tail -n 2
by
doing
head -n 3 animals.csv | tail -n 2 > animals-subset.csv
Passing output to another command
In our example of finding the file with the fewest lines, we are
using two intermediate files lengths.txt
and
sorted-lengths.txt
to store output. This is a confusing way
to work because even once you understand what wc
,
sort
, and head
do, those intermediate files
make it hard to follow what’s going on. We can make it easier to
understand by running sort
and head
together:
OUTPUT
9 methane.pdb
The vertical bar, |
, between the two commands is called
a pipe. It tells the shell that we want to use the
output of the command on the left as the input to the command on the
right.
This has removed the need for the sorted-lengths.txt
file.
Combining multiple commands
Nothing prevents us from chaining pipes consecutively. We can for
example send the output of wc
directly to
sort
, and then send the resulting output to
head
. This removes the need for any intermediate files.
We’ll start by using a pipe to send the output of wc
to
sort
:
OUTPUT
9 methane.pdb
12 ethane.pdb
15 propane.pdb
20 cubane.pdb
21 pentane.pdb
30 octane.pdb
107 total
We can then send that output through another pipe, to
head
, so that the full pipeline becomes:
OUTPUT
9 methane.pdb
This is exactly like a mathematician nesting functions like
log(3x) and saying ‘the log of three times x’. In our
case, the algorithm is ‘head of sort of line count of
*.pdb
’.
The redirection and pipes used in the last few commands are illustrated below:
Piping Commands Together
In our current directory, we want to find the 3 files which have the least number of lines. Which command listed below would work?
wc -l * > sort -n > head -n 3
wc -l * | sort -n | head -n 1-3
wc -l * | head -n 3 | sort -n
wc -l * | sort -n | head -n 3
Option 4 is the solution. The pipe character |
is used
to connect the output from one command to the input of another.
>
is used to redirect standard output to a file. Try it
in the shell-lesson-data/exercise-data/alkanes
directory!
Tools designed to work together
This idea of linking programs together is why Unix has been so
successful. Instead of creating enormous programs that try to do many
different things, Unix programmers focus on creating lots of simple
tools that each do one job well, and that work well with each other.
This programming model is called ‘pipes and filters’. We’ve already seen
pipes; a filter is a program like wc
or
sort
that transforms a stream of input into a stream of
output. Almost all of the standard Unix tools can work this way. Unless
told to do otherwise, they read from standard input, do something with
what they’ve read, and write to standard output.
The key is that any program that reads lines of text from standard input and writes lines of text to standard output can be combined with every other program that behaves this way as well. You can and should write your programs this way so that you and other people can put those programs into pipes to multiply their power.
Pipe Reading Comprehension
A file called animals.csv
(in the
shell-lesson-data/exercise-data/animal-counts
folder)
contains the following data:
2012-11-05,deer,5
2012-11-05,rabbit,22
2012-11-05,raccoon,7
2012-11-06,rabbit,19
2012-11-06,deer,2
2012-11-06,fox,4
2012-11-07,rabbit,16
2012-11-07,bear,1
What text passes through each of the pipes and the final redirect in
the pipeline below? Note, the sort -r
command sorts in
reverse order.
Hint: build the pipeline up one command at a time to test your understanding
The head
command extracts the first 5 lines from
animals.csv
. Then, the last 3 lines are extracted from the
previous 5 by using the tail
command. With the
sort -r
command those 3 lines are sorted in reverse order.
Finally, the output is redirected to a file: final.txt
. The
content of this file can be checked by executing
cat final.txt
. The file should contain the following
lines:
2012-11-06,rabbit,19
2012-11-06,deer,2
2012-11-05,raccoon,7
Pipe Construction
For the file animals.csv
from the previous exercise,
consider the following command:
The cut
command is used to remove or ‘cut out’ certain
sections of each line in the file, and cut
expects the
lines to be separated into columns by a Tab character. A
character used in this way is called a delimiter. In
the example above we use the -d
option to specify the comma
as our delimiter character. We have also used the -f
option
to specify that we want to extract the second field (column). This gives
the following output:
OUTPUT
deer
rabbit
raccoon
rabbit
deer
fox
rabbit
bear
The uniq
command filters out adjacent matching lines in
a file. How could you extend this pipeline (using uniq
and
another command) to find out what animals the file contains (without any
duplicates in their names)?
Which Pipe?
The file animals.csv
contains 8 lines of data formatted
as follows:
OUTPUT
2012-11-05,deer,5
2012-11-05,rabbit,22
2012-11-05,raccoon,7
2012-11-06,rabbit,19
...
The uniq
command has a -c
option which
gives a count of the number of times a line occurs in its input.
Assuming your current directory is
shell-lesson-data/exercise-data/animal-counts
, what command
would you use to produce a table that shows the total count of each type
of animal in the file?
sort animals.csv | uniq -c
sort -t, -k2,2 animals.csv | uniq -c
cut -d, -f 2 animals.csv | uniq -c
cut -d, -f 2 animals.csv | sort | uniq -c
cut -d, -f 2 animals.csv | sort | uniq -c | wc -l
Option 4. is the correct answer. If you have difficulty understanding
why, try running the commands, or sub-sections of the pipelines (make
sure you are in the
shell-lesson-data/exercise-data/animal-counts
directory).
Nelle’s Pipeline: Checking Files
Nelle has run her samples through the assay machines and created 17
files in the north-pacific-gyre
directory described
earlier. As a quick check, starting from the
shell-lesson-data
directory, Nelle types:
The output is 18 lines that look like this:
OUTPUT
300 NENE01729A.txt
300 NENE01729B.txt
300 NENE01736A.txt
300 NENE01751A.txt
300 NENE01751B.txt
300 NENE01812A.txt
... ...
Now she types this:
OUTPUT
240 NENE02018B.txt
300 NENE01729A.txt
300 NENE01729B.txt
300 NENE01736A.txt
300 NENE01751A.txt
Whoops: one of the files is 60 lines shorter than the others. When she goes back and checks it, she sees that she did that assay at 8:00 on a Monday morning — someone was probably in using the machine on the weekend, and she forgot to reset it. Before re-running that sample, she checks to see if any files have too much data:
OUTPUT
300 NENE02040B.txt
300 NENE02040Z.txt
300 NENE02043A.txt
300 NENE02043B.txt
5040 total
Those numbers look good — but what’s that ‘Z’ doing there in the third-to-last line? All of her samples should be marked ‘A’ or ‘B’; by convention, her lab uses ‘Z’ to indicate samples with missing information. To find others like it, she does this:
OUTPUT
NENE01971Z.txt NENE02040Z.txt
Sure enough, when she checks the log on her laptop, there’s no depth
recorded for either of those samples. Since it’s too late to get the
information any other way, she must exclude those two files from her
analysis. She could delete them using rm
, but there are
actually some analyses she might do later where depth doesn’t matter, so
instead, she’ll have to be careful later on to select files using the
wildcard expressions NENE*A.txt NENE*B.txt
.
Removing Unneeded Files
Suppose you want to delete your processed data files, and only keep
your raw files and processing script to save storage. The raw files end
in .dat
and the processed files end in .txt
.
Which of the following would remove all the processed data files, and
only the processed data files?
rm ?.txt
rm *.txt
rm * .txt
rm *.*
This would remove
.txt
files with one-character namesThis is the correct answer
The shell would expand
*
to match everything in the current directory, so the command would try to remove all matched files and an additional file called.txt
The shell expands
*.*
to match all filenames containing at least one.
, including the processed files (.txt
) and raw files (.dat
)
Key Points
-
wc
counts lines, words, and characters in its inputs. -
cat
displays the contents of its inputs. -
sort
sorts its inputs. -
head
displays the first 10 lines of its input. -
tail
displays the last 10 lines of its input. -
command > [file]
redirects a command’s output to a file (overwriting any existing content). -
command >> [file]
appends a command’s output to a file. -
[first] | [second]
is a pipeline: the output of the first command is used as the input to the second. - The best way to use the shell is to use pipes to combine simple single-purpose programs (filters).