Project: /_project.yaml Book: /_book.yaml
This page covers the benefits and basic usage of Starlark configurations, Bazel's API for customizing how your project builds. It includes how to define build settings and provides examples.
This makes it possible to:
--define
--compilation_mode=opt
or --cpu=arm
)//my:android_app
with a specified SDK)and more, all completely from .bzl files (no Bazel release required). See the bazelbuild/examples
repo for examples{: .external}.
A build setting is a single piece of configuration information. Think of a configuration as a key/value map. Setting --cpu=ppc
and --copt="-DFoo"
produces a configuration that looks like {cpu: ppc, copt: "-DFoo"}
. Each entry is a build setting.
Traditional flags like cpu
and copt
are native settings — their keys are defined and their values are set inside native bazel java code. Bazel users can only read and write them via the command line and other APIs maintained natively. Changing native flags, and the APIs that expose them, requires a bazel release. User-defined build settings are defined in .bzl
files (and thus, don‘t need a bazel release to register changes). They also can be set via the command line (if they’re designated as flags
, see more below), but can also be set via user-defined transitions.
End to end example{: .external}
build_setting
rule()
parameter {:#rule-parameter}Build settings are rules like any other rule and are differentiated using the Starlark rule()
function's build_setting
attribute.
# example/buildsettings/build_settings.bzl string_flag = rule( implementation = _impl, build_setting = config.string(flag = True) )
The build_setting
attribute takes a function that designates the type of the build setting. The type is limited to a set of basic Starlark types like bool
and string
. See the config
module documentation for details. More complicated typing can be done in the rule's implementation function. More on this below.
The config
module‘s functions takes an optional boolean parameter, flag
, which is set to false by default. if flag
is set to true, the build setting can be set on the command line by users as well as internally by rule writers via default values and transitions. Not all settings should be settable by users. For example, if you as a rule writer have some debug mode that you’d like to turn on inside test rules, you don't want to give users the ability to indiscriminately turn on that feature inside other non-test rules.
Like all rules, build setting rules have implementation functions. The basic Starlark-type value of the build settings can be accessed via the ctx.build_setting_value
method. This method is only available to ctx
objects of build setting rules. These implementation methods can directly forward the build settings value or do additional work on it, like type checking or more complex struct creation. Here's how you would implement an enum
-typed build setting:
# example/buildsettings/build_settings.bzl TemperatureProvider = provider(fields = ['type']) temperatures = ["HOT", "LUKEWARM", "ICED"] def _impl(ctx): raw_temperature = ctx.build_setting_value if raw_temperature not in temperatures: fail(str(ctx.label) + " build setting allowed to take values {" + ", ".join(temperatures) + "} but was set to unallowed value " + raw_temperature) return TemperatureProvider(type = raw_temperature) temperature = rule( implementation = _impl, build_setting = config.string(flag = True) )
Note: if a rule depends on a build setting, it will receive whatever providers the build setting implementation function returns, like any other dependency. But all other references to the value of the build setting (such as in transitions) will see its basic Starlark-typed value, not this post implementation function value.
String settings have an additional allow_multiple
parameter which allows the flag to be set multiple times on the command line or in bazelrcs. Their default value is still set with a string-typed attribute:
# example/buildsettings/build_settings.bzl allow_multiple_flag = rule( implementation = _impl, build_setting = config.string(flag = True, allow_multiple = True) )
# example/buildsettings/BUILD load("//example/buildsettings:build_settings.bzl", "allow_multiple_flag") allow_multiple_flag( name = "roasts", build_setting_default = "medium" )
Each setting of the flag is treated as a single value:
$ bazel build //my/target --//example:roasts=blonde \ --//example:roasts=medium,dark
The above is parsed to {"//example:roasts": ["blonde", "medium,dark"]}
and ctx.build_setting_value
returns the list ["blonde", "medium,dark"]
.
Rules defined with the build_setting
parameter have an implicit mandatory build_setting_default
attribute. This attribute takes on the same type as declared by the build_setting
param.
# example/buildsettings/build_settings.bzl FlavorProvider = provider(fields = ['type']) def _impl(ctx): return FlavorProvider(type = ctx.build_setting_value) flavor = rule( implementation = _impl, build_setting = config.string(flag = True) )
# example/buildsettings/BUILD load("//example/buildsettings:build_settings.bzl", "flavor") flavor( name = "favorite_flavor", build_setting_default = "APPLE" )
End to end example{: .external}
The Skylib{: .external} library includes a set of predefined settings you can instantiate without having to write custom Starlark.
For example, to define a setting that accepts a limited set of string values:
# example/BUILD load("@bazel_skylib//rules:common_settings.bzl", "string_flag") string_flag( name = "myflag", values = ["a", "b", "c"], build_setting_default = "a", )
For a complete list, see Common build setting rules{: .external}.
If a target would like to read a piece of configuration information, it can directly depend on the build setting via a regular attribute dependency.
# example/rules.bzl load("//example/buildsettings:build_settings.bzl", "FlavorProvider") def _rule_impl(ctx): if ctx.attr.flavor[FlavorProvider].type == "ORANGE": ... drink_rule = rule( implementation = _rule_impl, attrs = { "flavor": attr.label() } )
# example/BUILD load("//example:rules.bzl", "drink_rule") load("//example/buildsettings:build_settings.bzl", "flavor") flavor( name = "favorite_flavor", build_setting_default = "APPLE" ) drink_rule( name = "my_drink", flavor = ":favorite_flavor", )
Languages may wish to create a canonical set of build settings which all rules for that language depend on. Though the native concept of fragments
no longer exists as a hardcoded object in Starlark configuration world, one way to translate this concept would be to use sets of common implicit attributes. For example:
# kotlin/rules.bzl _KOTLIN_CONFIG = { "_compiler": attr.label(default = "//kotlin/config:compiler-flag"), "_mode": attr.label(default = "//kotlin/config:mode-flag"), ... } ... kotlin_library = rule( implementation = _rule_impl, attrs = dicts.add({ "library-attr": attr.string() }, _KOTLIN_CONFIG) ) kotlin_binary = rule( implementation = _binary_impl, attrs = dicts.add({ "binary-attr": attr.label() }, _KOTLIN_CONFIG)
Similar to most native flags, you can use the command line to set build settings that are marked as flags. The build setting's name is its full target path using name=value
syntax:
$ bazel build //my/target --//example:string_flag=some-value # allowed $ bazel build //my/target --//example:string_flag some-value # not allowed
Special boolean syntax is supported:
$ bazel build //my/target --//example:boolean_flag $ bazel build //my/target --no//example:boolean_flag
You can set an alias for your build setting target path to make it easier to read on the command line. Aliases function similarly to native flags and also make use of the double-dash option syntax.
Set an alias by adding --flag_alias=ALIAS_NAME=TARGET_PATH
to your .bazelrc
. For example, to set an alias to coffee
:
# .bazelrc build --flag_alias=coffee=//experimental/user/starlark_configurations/basic_build_setting:coffee-temp
Best Practice: Setting an alias multiple times results in the most recent one taking precedence. Use unique alias names to avoid unintended parsing results.
To make use of the alias, type it in place of the build setting target path. With the above example of coffee
set in the user's .bazelrc
:
$ bazel build //my/target --coffee=ICED
instead of
$ bazel build //my/target --//experimental/user/starlark_configurations/basic_build_setting:coffee-temp=ICED
Best Practice: While it possible to set aliases on the command line, leaving them in a .bazelrc
reduces command line clutter.
End to end example{: .external}
Unlike other build settings, label-typed settings cannot be defined using the build_setting
rule parameter. Instead, bazel has two built-in rules: label_flag
and label_setting
. These rules forward the providers of the actual target to which the build setting is set. label_flag
and label_setting
can be read/written by transitions and label_flag
can be set by the user like other build_setting
rules can. Their only difference is they can't customely defined.
Label-typed settings will eventually replace the functionality of late-bound defaults. Late-bound default attributes are Label-typed attributes whose final values can be affected by configuration. In Starlark, this will replace the configuration_field
API.
# example/rules.bzl MyProvider = provider(fields = ["my_field"]) def _dep_impl(ctx): return MyProvider(my_field = "yeehaw") dep_rule = rule( implementation = _dep_impl ) def _parent_impl(ctx): if ctx.attr.my_field_provider[MyProvider].my_field == "cowabunga": ... parent_rule = rule( implementation = _parent_impl, attrs = { "my_field_provider": attr.label() } )
# example/BUILD load("//example:rules.bzl", "dep_rule", "parent_rule") dep_rule(name = "dep") parent_rule(name = "parent", my_field_provider = ":my_field_provider") label_flag( name = "my_field_provider", build_setting_default = ":dep" )
End to end example{: .external}
Users can configure attributes on build settings by using select()
. Build setting targets can be passed to the flag_values
attribute of config_setting
. The value to match to the configuration is passed as a String
then parsed to the type of the build setting for matching.
config_setting( name = "my_config", flag_values = { "//example:favorite_flavor": "MANGO" } )
A configuration transition maps the transformation from one configured target to another within the build graph.
Important: Transitions have memory and performance impact.
Rules that set them must include a special attribute:
"_allowlist_function_transition": attr.label( default = "@bazel_tools//tools/allowlists/function_transition_allowlist" )
By adding transitions you can pretty easily explode the size of your build graph. This sets an allowlist on the packages in which you can create targets of this rule. The default value in the codeblock above allowlists everything. But if you‘d like to restrict who is using your rule, you can set that attribute to point to your own custom allowlist. Contact bazel-discuss@googlegroups.com if you’d like advice or assistance understanding how transitions can affect on your build performance.
Transitions define configuration changes between rules. For example, a request like “compile my dependency for a different CPU than its parent” is handled by a transition.
Formally, a transition is a function from an input configuration to one or more output configurations. Most transitions are 1:1 such as “override the input configuration with --cpu=ppc
”. 1:2+ transitions can also exist but come with special restrictions.
In Starlark, transitions are defined much like rules, with a defining transition()
function and an implementation function.
# example/transitions/transitions.bzl def _impl(settings, attr): _ignore = (settings, attr) return {"//example:favorite_flavor" : "MINT"} hot_chocolate_transition = transition( implementation = _impl, inputs = [], outputs = ["//example:favorite_flavor"] )
The transition()
function takes in an implementation function, a set of build settings to read(inputs
), and a set of build settings to write (outputs
). The implementation function has two parameters, settings
and attr
. settings
is a dictionary {String
:Object
} of all settings declared in the inputs
parameter to transition()
.
attr
is a dictionary of attributes and values of the rule to which the transition is attached. When attached as an outgoing edge transition, the values of these attributes are all configured post-select() resolution. When attached as an incoming edge transition, attr
does not include any attributes that use a selector to resolve their value. If an incoming edge transition on --foo
reads attribute bar
and then also selects on --foo
to set attribute bar
, then there's a chance for the incoming edge transition to read the wrong value of bar
in the transition.
Note: Since transitions are attached to rule definitions and select()
s are attached to rule instantiations (such as targets), errors related to select()
s on read attributes will pop up when users create targets rather than when rules are written. It may be worth taking extra care to communicate to rule users which attributes they should be wary of selecting on or taking other precautions.
The implementation function must return a dictionary (or list of dictionaries, in the case of transitions with multiple output configurations) of new build settings values to apply. The returned dictionary keyset(s) must contain exactly the set of build settings passed to the outputs
parameter of the transition function. This is true even if a build setting is not actually changed over the course of the transition - its original value must be explicitly passed through in the returned dictionary.
End to end example{: .external}
Outgoing edge transition can map a single input configuration to two or more output configurations. This is useful for defining rules that bundle multi-architecture code.
1:2+ transitions are defined by returning a list of dictionaries in the transition implementation function.
# example/transitions/transitions.bzl def _impl(settings, attr): _ignore = (settings, attr) return [ {"//example:favorite_flavor" : "LATTE"}, {"//example:favorite_flavor" : "MOCHA"}, ] coffee_transition = transition( implementation = _impl, inputs = [], outputs = ["//example:favorite_flavor"] )
They can also set custom keys that the rule implementation function can use to read individual dependencies:
# example/transitions/transitions.bzl def _impl(settings, attr): _ignore = (settings, attr) return { "Apple deps": {"//command_line_option:cpu": "ppc"}, "Linux deps": {"//command_line_option:cpu": "x86"}, } multi_arch_transition = transition( implementation = _impl, inputs = [], outputs = ["//command_line_option:cpu"] )
End to end example{: .external}
Transitions can be attached in two places: incoming edges and outgoing edges. Effectively this means rules can transition their own configuration (incoming edge transition) and transition their dependencies' configurations (outgoing edge transition).
NOTE: There is currently no way to attach Starlark transitions to native rules. If you need to do this, contact bazel-discuss@googlegroups.com for help with figuring out workarounds.
Incoming edge transitions are activated by attaching a transition
object (created by transition()
) to rule()
's cfg
parameter:
# example/rules.bzl load("example/transitions:transitions.bzl", "hot_chocolate_transition") drink_rule = rule( implementation = _impl, cfg = hot_chocolate_transition, ...
Incoming edge transitions must be 1:1 transitions.
Outgoing edge transitions are activated by attaching a transition
object (created by transition()
) to an attribute's cfg
parameter:
# example/rules.bzl load("example/transitions:transitions.bzl", "coffee_transition") drink_rule = rule( implementation = _impl, attrs = { "dep": attr.label(cfg = coffee_transition)} ...
Outgoing edge transitions can be 1:1 or 1:2+.
See Accessing attributes with transitions for how to read these keys.
End to end example{: .external}
Warning: Long term, the plan is to reimplement all native options as build settings. When that happens, this syntax will be deprecated. Currently other issues are blocking that migration but be aware you may have to migrate your transitions at some point in the future.
Starlark transitions can also declare reads and writes on native build configuration options via a special prefix to the option name.
# example/transitions/transitions.bzl def _impl(settings, attr): _ignore = (settings, attr) return {"//command_line_option:cpu": "k8"} cpu_transition = transition( implementation = _impl, inputs = [], outputs = ["//command_line_option:cpu"]
Bazel doesn't support transitioning on --define
with "//command_line_option:define"
. Instead, use a custom build setting. In general, new usages of --define
are discouraged in favor of build settings.
Bazel doesn't support transitioning on --config
. This is because --config
is an “expansion” flag that expands to other flags.
Crucially, --config
may include flags that don‘t affect build configuration, such as --spawn_strategy
. Bazel, by design, can’t bind such flags to individual targets. This means there's no coherent way to apply them in transitions.
As a workaround, you can explicitly itemize the flags that are part of the configuration in your transition. This requires maintaining the --config
's expansion in two places, which is a known UI blemish.
When setting build settings that allow multiple values, the value of the setting must be set with a list.
# example/buildsettings/build_settings.bzl string_flag = rule( implementation = _impl, build_setting = config.string(flag = True, allow_multiple = True) )
# example/BUILD load("//example/buildsettings:build_settings.bzl", "string_flag") string_flag(name = "roasts", build_setting_default = "medium")
# example/transitions/rules.bzl def _transition_impl(settings, attr): # Using a value of just "dark" here will throw an error return {"//example:roasts" : ["dark"]}, coffee_transition = transition( implementation = _transition_impl, inputs = [], outputs = ["//example:roasts"] )
If a transition returns {}
, []
, or None
, this is shorthand for keeping all settings at their original values. This can be more convenient than explicitly setting each output to itself.
# example/transitions/transitions.bzl def _impl(settings, attr): _ignore = (attr) if settings["//example:already_chosen"] is True: return {} return { "//example:favorite_flavor": "dark chocolate", "//example:include_marshmallows": "yes", "//example:desired_temperature": "38C", } hot_chocolate_transition = transition( implementation = _impl, inputs = ["//example:already_chosen"], outputs = [ "//example:favorite_flavor", "//example:include_marshmallows", "//example:desired_temperature", ] )
End to end example{: .external}
When attaching a transition to an outgoing edge (regardless of whether the transition is a 1:1 or 1:2+ transition), ctx.attr
is forced to be a list if it isn't already. The order of elements in this list is unspecified.
# example/transitions/rules.bzl def _transition_impl(settings, attr): return {"//example:favorite_flavor" : "LATTE"}, coffee_transition = transition( implementation = _transition_impl, inputs = [], outputs = ["//example:favorite_flavor"] ) def _rule_impl(ctx): # Note: List access even though "dep" is not declared as list transitioned_dep = ctx.attr.dep[0] # Note: Access doesn't change, other_deps was already a list for other dep in ctx.attr.other_deps: # ... coffee_rule = rule( implementation = _rule_impl, attrs = { "dep": attr.label(cfg = coffee_transition) "other_deps": attr.label_list(cfg = coffee_transition) })
If the transition is 1:2+
and sets custom keys, ctx.split_attr
can be used to read individual deps for each key:
# example/transitions/rules.bzl def _impl(settings, attr): _ignore = (settings, attr) return { "Apple deps": {"//command_line_option:cpu": "ppc"}, "Linux deps": {"//command_line_option:cpu": "x86"}, } multi_arch_transition = transition( implementation = _impl, inputs = [], outputs = ["//command_line_option:cpu"] ) def _rule_impl(ctx): apple_dep = ctx.split_attr.dep["Apple deps"] linux_dep = ctx.split_attr.dep["Linux deps"] # ctx.attr has a list of all deps for all keys. Order is not guaranteed. all_deps = ctx.attr.dep multi_arch_rule = rule( implementation = _rule_impl, attrs = { "dep": attr.label(cfg = multi_arch_transition) })
See complete example here.
Many native flags today, like --cpu
and --crosstool_top
are related to toolchain resolution. In the future, explicit transitions on these types of flags will likely be replaced by transitioning on the target platform.
Adding transitions, and therefore new configurations, to your build comes at a cost: larger build graphs, less comprehensible build graphs, and slower builds. It's worth considering these costs when considering using transitions in your build rules. Below is an example of how a transition might create exponential growth of your build graph.
Figure 1. Scalability graph showing a top level target and its dependencies.
This graph shows a top level target, //pkg:app, which depends on two targets, a //pkg:1_0 and //pkg:1_1. Both these targets depend on two targets, //pkg:2_0 and //pkg:2_1. Both these targets depend on two targets, //pkg:3_0 and //pkg:3_1. This continues on until //pkg:n_0 and //pkg:n_1, which both depend on a single target, //pkg:dep.
Building //pkg:app
requires \(2n+2\) targets:
//pkg:app
//pkg:dep
//pkg:i_0
and //pkg:i_1
for \(i\) in \([1..n]\)Imagine you implement) a flag --//foo:owner=<STRING>
and //pkg:i_b
applies
depConfig = myConfig + depConfig.owner="$(myConfig.owner)$(b)"
In other words, //pkg:i_b
appends b
to the old value of --owner
for all its deps.
This produces the following configured targets:
//pkg:app //foo:owner="" //pkg:1_0 //foo:owner="" //pkg:1_1 //foo:owner="" //pkg:2_0 (via //pkg:1_0) //foo:owner="0" //pkg:2_0 (via //pkg:1_1) //foo:owner="1" //pkg:2_1 (via //pkg:1_0) //foo:owner="0" //pkg:2_1 (via //pkg:1_1) //foo:owner="1" //pkg:3_0 (via //pkg:1_0 → //pkg:2_0) //foo:owner="00" //pkg:3_0 (via //pkg:1_0 → //pkg:2_1) //foo:owner="01" //pkg:3_0 (via //pkg:1_1 → //pkg:2_0) //foo:owner="10" //pkg:3_0 (via //pkg:1_1 → //pkg:2_1) //foo:owner="11" ...
//pkg:dep
produces \(2^n\) configured targets: config.owner=
“\(b_0b_1...b_n\)” for all \(b_i\) in \({0,1}\).
This makes the build graph exponentially larger than the target graph, with corresponding memory and performance consequences.
TODO: Add strategies for measurement and mitigation of these issues.
For more details on modifying build configurations, see: