Make can build dependencies in parallel sub-processes, via its --jobs
flag (or its -j
abbreviation) which specifies the number of sub-processes to
use e.g.
$ make --jobs 4 results.txt
If we have independent dependencies then these can be built at the
same time. For example, abyss.dat
and isles.dat
are mutually
independent and can both be built at the same time. Likewise for
abyss.png
and isles.png
. If you’ve got a bunch of independent
branches in your analysis, this can greatly speed up your build
process.
For more information see the GNU Make manual chapter on Parallel Execution.
Some Makefiles may contain :=
instead of =
. Your Makefile may
behave differently depending upon which you use and how you use it:
A variable defined using =
is a recursively expanded
variable. Its value is calculated only when its value is
requested. If the value assigned to the variable itself contains
variables (e.g. A = $(B)
) then these variables’ values are only
calculated when the variable’s value is requested (e.g. the value of
B
is only calculated when the value of A
is requested via
$(A)
. This can be termed lazy setting.
A variable defined using :=
is a simply expanded variable. Its
value is calculated when it is declared. If the value assigned to
the variable contains variables (e.g. A = $(B)
) then these
variables’ values are also calculated when the variable is declared
(e.g. the value of B
is calculated when A
is assigned
above). This can be termed immediate setting.
For a detailed explanation, see:
Imagine that we manage our Makefiles using a version control system such as Git.
Let’s say we’d like to run the workflow developed in this lesson
for three different word counting scripts, in order to compare their
speed (e.g. wordcount.py
, wordcount2.py
, wordcount3.py
).
To do this we could edit config.mk
each time by replacing
COUNT_SRC=wordcount.py
with COUNT_SRC=wordcount2.py
or
COUNT_SRC=wordcount3.py
,
but this would be detected as a change by the version control system.
This is a minor configuration change, rather than a change to the
workflow, and so we probably would rather avoid committing this change
to our repository each time we decide to test a different counting script.
An alternative is to leave config.mk
untouched, by overwriting the value
of COUNT_SRC
at the command line instead:
$ make variables COUNT_SRC=wordcount2.py
The configuration file then simply contains the default values for the workflow, and by overwriting the defaults at the command line you can maintain a neater and more meaningful version control history.
Makefiles embed shell scripts within them, as the actions that are executed to update an object. More complex actions could well include shell variables. There are several ways in which make variables and shell variables can be confused and can be in conflict.
Make actually accepts three different syntaxes for variables: $N
,
$(NAME)
, or ${NAME}
.
The single character variable names are most commonly used for automatic variables, and there are many of them. But if you happen upon a character that isn’t pre-defined as an automatic variable, make will treat it as a user variable.
The ${NAME}
syntax is also used by the unix shell in cases where
there might be ambiguity in interpreting variable names, or for
certain pattern substitution operations. Since there are only
certain situations in which the unix shell requires this syntax,
instead of the more common $NAME
, it is not familiar to many users.
Make does variable substitution on actions before they are passed to
the shell for execution. That means that anything that looks like a
variable to make will get replaced with the appropriate value. (In
make, an uninitialized variable has a null value.) To protect a
variable you intend to be interpreted by the shell rather than make,
you need to “quote” the dollar sign by doubling it ($$
). (This the
same principle as escaping special characters in the unix shell
using the backslash (\
) character.) In
short: make variables have a single dollar sign, shell variables
have a double dollar sign. This applies to anything that looks like
a variable and needs to be interpreted by the shell rather than
make, including awk positional parameters (e.g., awk '{print $$1}'
instead of awk '{print $1}'
) or accessing environment variables
(e.g., $$HOME
).
Detailed Example of Shell Variable Quoting
Say we had the following
Makefile
(and the .dat files had already been created):BOOKS = abyss isles .PHONY: plots plots: for book in $(BOOKS); do python plotcount.py $book.dat $book.png; done
the action that would be passed to the shell to execute would be:
for book in abyss isles; do python plotcount.py ook.dat ook.png; done
Notice that make substituted
$(BOOKS)
, as expected, but it also substituted$book
, even though we intended it to be a shell variable. Moreover, because we didn’t use$(NAME)
(or${NAME}
) syntax, make interpreted it as the single character variable$b
(which we haven’t defined, so it has a null value) followed by the text “ook”.In order to get the desired behavior, we have to write
$$book
instead of$book
:BOOKS = abyss isles .PHONY: plots plots: for book in $(BOOKS); do python plotcount.py $$book.dat $$book.png; done
which produces the correct shell command:
for book in abyss isles; do python plotcount.py $book.dat $book.png; done
Blog articles, papers, and tutorials on automating commonly occurring research activities using Make:
minimal make by Karl Broman. A minimal tutorial on using Make with R and LaTeX to automate data analysis, visualization and paper preparation. This page has links to Makefiles for many of his papers.
Why Use Make by Mike Bostock. An example of using Make to download and convert data.
Makefiles for R/LaTeX projects by Rob Hyndman. Another example of using Make with R and LaTeX.
GNU Make for Reproducible Data Analysis by Zachary Jones. Using Make with Python and LaTeX.
Shaun Jackman’s Using Make to Increase Automation & Reproducibility video lesson, and accompanying example.
Lars Yencken’s Driving experiments with make. Using Make to sandbox Python dependencies and pull down data sets from Amazon S3.
Askren MK, McAllister-Day TK, Koh N, Mestre Z, Dines JN, Korman BA, Melhorn SJ, Peterson DJ, Peverill M, Qin X, Rane SD, Reilly MA, Reiter MA, Sambrook KA, Woelfer KA, Grabowski TJ and Madhyastha TM (2016) Using Make for Reproducible and Parallel Neuroimaging Workflow and Quality-Assurance. Front. Neuroinform. 10:2. doi: 10.3389/fninf.2016.00002
Li Haoyi’s What’s in a Build Tool? A review of popular build tools (including Make) in terms of their strengths and weaknesses for common build-related use cases in software development.
.PHONY
target behaviourUp to date
vs Nothing to be done
is discussed in
episode 2.
A more detailed discussion can be read on issue 98.