Prefer DAMP BUILD files over DRY
The DRY principle — "Don't Repeat Yourself" — encourages uniqueness by introducing abstractions such as variables and functions to avoid redundancy in code.
In contrast, the DAMP principle — "Descriptive and Meaningful Phrases" — encourages readability over uniqueness to make files easier to understand and maintain.
BUILD
files aren't code, they are configurations. They aren't tested like
code, but do need to be maintained by people and tools. That makes DAMP better
for them than DRY.
BUILD.bazel file formatting
BUILD
file formatting follows the same approach as Go, where a standardized
tool takes care of most formatting issues.
Buildifier is a tool that parses and
emits the source code in a standard style. Every BUILD
file is therefore
formatted in the same automated way, which makes formatting a non-issue during
code reviews. It also makes it easier for tools to understand, edit, and
generate BUILD
files.
BUILD
file formatting must match the output of buildifier
.
Formatting example
# Test code implementing the Foo controller.
package(default_testonly = True)
py_test(
name = "foo_test",
srcs = glob(["*.py"]),
data = [
"//data/production/foo:startfoo",
"//foo",
"//third_party/java/jdk:jdk-k8",
],
flaky = True,
deps = [
":check_bar_lib",
":foo_data_check",
":pick_foo_port",
"//pyglib",
"//testing/pybase",
],
)
File structure
Recommendation: Use the following order (every element is optional):
Package description (a comment)
All
load()
statementsThe
package()
function.Calls to rules and macros
Buildifier makes a distinction between a standalone comment and a comment attached to an element. If a comment is not attached to a specific element, use an empty line after it. The distinction is important when doing automated changes (for example, to keep or remove a comment when deleting a rule).
# Standalone comment (such as to make a section in a file)
# Comment for the cc_library below
cc_library(name = "cc")
References to targets in the current package
Files should be referred to by their paths relative to the package directory
(without ever using up-references, such as ..
). Generated files should be
prefixed with ":
" to indicate that they are not sources. Source files
should not be prefixed with :
. Rules should be prefixed with :
. For
example, assuming x.cc
is a source file:
cc_library(
name = "lib",
srcs = ["x.cc"],
hdrs = [":gen_header"],
)
genrule(
name = "gen_header",
srcs = [],
outs = ["x.h"],
cmd = "echo 'int x();' > $@",
)
Target naming
Target names should be descriptive. If a target contains one source file,
the target should generally have a name derived from that source (for example, a
cc_library
for chat.cc
could be named chat
, or a java_library
for
DirectMessage.java
could be named direct_message
).
The eponymous target for a package (the target with the same name as the containing directory) should provide the functionality described by the directory name. If there is no such target, do not create an eponymous target.
Prefer using the short name when referring to an eponymous target (//x
instead of //x:x
). If you are in the same package, prefer the local
reference (:x
instead of //x
).
Avoid using "reserved" target names which have special meaning. This includes
all
, __pkg__
, and __subpackages__
, these names have special
semantics and can cause confusion and unexpected behaviors when they are used.
In the absence of a prevailing team convention these are some non-binding recommendations that are broadly used at Google:
- In general, use "snake_case"
- For a
java_library
with onesrc
this means using a name that is not the same as the filename without the extension - For Java
*_binary
and*_test
rules, use "Upper CamelCase". This allows for the target name to match one of thesrc
s. Forjava_test
, this makes it possible for thetest_class
attribute to be inferred from the name of the target.
- For a
- If there are multiple variants of a particular target then add a suffix to
disambiguate (such as.
:foo_dev
,:foo_prod
or:bar_x86
,:bar_x64
) - Suffix
_test
targets with_test
,_unittest
,Test
, orTests
- Avoid meaningless suffixes like
_lib
or_library
(unless necessary to avoid conflicts between a_library
target and its corresponding_binary
) - For proto related targets:
proto_library
targets should have names ending in_proto
- Languages specific
*_proto_library
rules should match the underlying proto but replace_proto
with a language specific suffix such as:cc_proto_library
:_cc_proto
java_proto_library
:_java_proto
java_lite_proto_library
:_java_proto_lite
Visibility
Visibility should be scoped as tightly as possible, while still allowing access
by tests and reverse dependencies. Use __pkg__
and __subpackages__
as
appropriate.
Avoid setting package default_visibility
to //visibility:public
.
//visibility:public
should be individually set only for targets in the
project's public API. These could be libraries that are designed to be depended
on by external projects or binaries that could be used by an external project's
build process.
Dependencies
Dependencies should be restricted to direct dependencies (dependencies needed by the sources listed in the rule). Do not list transitive dependencies.
Package-local dependencies should be listed first and referred to in a way compatible with the References to targets in the current package section above (not by their absolute package name).
Prefer to list dependencies directly, as a single list. Putting the "common" dependencies of several targets into a variable reduces maintainability, makes it impossible for tools to change the dependencies of a target, and can lead to unused dependencies.
Globs
Indicate "no targets" with []
. Do not use a glob that matches nothing: it
is more error-prone and less obvious than an empty list.
Recursive
Do not use recursive globs to match source files (for example,
glob(["**/*.java"])
).
Recursive globs make BUILD
files difficult to reason about because they skip
subdirectories containing BUILD
files.
Recursive globs are generally less efficient than having a BUILD
file per
directory with a dependency graph defined between them as this enables better
remote caching and parallelism.
It is good practice to author a BUILD
file in each directory and define a
dependency graph between them.
Non-recursive
Non-recursive globs are generally acceptable.
Avoid list comprehensions
Avoid using list comprehensions at the top level of a BUILD.bazel
file.
Automate repetitive calls by creating each named target with a separate
top-level rule or macro call. Give each a short name
parameter for clarity.
List comprehension reduces the following:
- Maintainability. It's difficult or impossible for human maintainers and large scale automated changes to update list comprehensions correctly.
- Discoverability. Since the pattern doesn't have
name
parameters, it's hard to find the rule by name.
A common application of the list comprehension pattern is to generate tests. For example:
[[java_test(
name = "test_%s_%s" % (backend, count),
srcs = [ ... ],
deps = [ ... ],
...
) for backend in [
"fake",
"mock",
]] for count in [
1,
10,
]]
We recommend using simpler alternatives. For example, define a macro that
generates one test and invoke it for each top-level name
:
my_java_test(name = "test_fake_1",
...)
my_java_test(name = "test_fake_10",
...)
...
Don't use deps variables
Don't use list variables to encapsulate common dependencies:
COMMON_DEPS = [
"//d:e",
"//x/y:z",
]
cc_library(name = "a",
srcs = ["a.cc"],
deps = COMMON_DEPS + [ ... ],
)
cc_library(name = "b",
srcs = ["b.cc"],
deps = COMMON_DEPS + [ ... ],
)
Similarly, don't use a library target with
exports
to group dependencies.
Instead, list the dependencies separately for each target:
cc_library(name = "a",
srcs = ["a.cc"],
deps = [
"//a:b",
"//x/y:z",
...
],
)
cc_library(name = "b",
srcs = ["b.cc"],
deps = [
"//a:b",
"//x/y:z",
...
],
)
Let Gazelle and other tools maintain them. There will be repetition, but you won't have to think about how to manage the dependencies.
Prefer literal strings
Although Starlark provides string operators for concatenation (+
) and
formatting (%
), use them with caution. It is tempting to factor out common
string parts to make expressions more concise or break long lines. However,
It is harder to read broken-up string values at a glance.
Automated tools such as buildozer and Code Search have trouble finding values and updating them correctly when the values broken up.
In
BUILD
files, readability is more important than avoiding repetition (see DAMP versus DRY).This Style Guide warns against splitting label-valued strings and explicitly permits long lines.
Buildifier automatically fuses concatenated strings when it detects that they are labels.
Therefore, prefer explicit, literal strings over concatenated or formatted
strings, especially in label-type attributes such as name
and deps
. For
example, this BUILD
fragment:
NAME = "foo"
PACKAGE = "//a/b"
proto_library(
name = "%s_proto" % NAME,
deps = [PACKAGE + ":other_proto"],
alt_dep = "//surprisingly/long/chain/of/package/names:" +
"extravagantly_long_target_name",
)
would be better rewritten as
proto_library(
name = "foo_proto",
deps = ["//a/b:other_proto"],
alt_dep = "//surprisingly/long/chain/of/package/names:extravagantly_long_target_name",
)
Limit the symbols exported by each .bzl
file
Minimize the number of symbols (rules, macros, constants, functions) exported by
each public .bzl
(Starlark) file. We recommend that a file should export
multiple symbols only if they are certain to be used together. Otherwise, split
it into multiple .bzl
files, each with its own bzl_library.
Excessive symbols can cause .bzl
files to grow into broad "libraries" of
symbols, causing changes to single files to force Bazel to rebuild many targets.
Other conventions
Use uppercase and underscores to declare constants (such as
GLOBAL_CONSTANT
), use lowercase and underscores to declare variables (such asmy_variable
).Labels should never be split, even if they are longer than 79 characters. Labels should be string literals whenever possible. Rationale: It makes find and replace easy. It also improves readability.
The value of the name attribute should be a literal constant string (except in macros). Rationale: External tools use the name attribute to refer a rule. They need to find rules without having to interpret code.
When setting boolean-type attributes, use boolean values, not integer values. For legacy reasons, rules still convert integers to booleans as needed, but this is discouraged. Rationale:
flaky = 1
could be misread as saying "deflake this target by rerunning it once".flaky = True
unambiguously says "this test is flaky".
Differences with Python style guide
Although compatibility with Python style guide is a goal, there are a few differences:
No strict line length limit. Long comments and long strings are often split to 79 columns, but it is not required. It should not be enforced in code reviews or presubmit scripts. Rationale: Labels can be long and exceed this limit. It is common for
BUILD
files to be generated or edited by tools, which does not go well with a line length limit.Implicit string concatenation is not supported. Use the
+
operator. Rationale:BUILD
files contain many string lists. It is easy to forget a comma, which leads to a complete different result. This has created many bugs in the past. See also this discussion.Use spaces around the
=
sign for keywords arguments in rules. Rationale: Named arguments are much more frequent than in Python and are always on a separate line. Spaces improve readability. This convention has been around for a long time, and it is not worth modifying all existingBUILD
files.By default, use double quotation marks for strings. Rationale: This is not specified in the Python style guide, but it recommends consistency. So we decided to use only double-quoted strings. Many languages use double-quotes for string literals.
Use a single blank line between two top-level definitions. Rationale: The structure of a
BUILD
file is not like a typical Python file. It has only top-level statements. Using a single-blank line makesBUILD
files shorter.