---
title: 'Bazel Tutorial: Configure C++ Toolchains'
---


This tutorial uses an example scenario to describe how to configure C++
toolchains for a project.

## What you'll learn

In this tutorial you learn how to:

*   Set up the build environment
*   Use `--toolchain_resolution_debug` to debug toolchain resolution
*   Configure the C++ toolchain
*   Create a Starlark rule that provides additional configuration for the
    `cc_toolchain` so that Bazel can build the application with `clang`
*   Build the C++ binary by running `bazel build //main:hello-world` on a
    Linux machine
*   Cross-compile the binary for android by running `bazel build
    //main:hello-world --platforms=//:android_x86_64`

## Before you begin

This tutorial assumes you are on Linux and have successfully built C++
applications and installed the appropriate tooling and libraries. The tutorial
uses `clang version 19`, which you can install on your system.

### Set up the build environment

Set up your build environment as follows:

1.  If you have not already done so, [download and install Bazel
    7.0.2](https://bazel.build/install) or later.

2.  Add an empty `MODULE.bazel` file at the root folder.

3.  Add the following `cc_binary` target to the `main/BUILD` file:

    ```python
    cc_binary(
        name = "hello-world",
        srcs = ["hello-world.cc"],
    )
    ```

    Because Bazel uses many internal tools written in C++ during the build, such
    as `process-wrapper`, the pre-existing default C++ toolchain is specified
    for the host platform. This enables these internal tools to build using that
    toolchain of the one created in this tutorial. Hence, the `cc_binary` target
    is also built with the default toolchain.

4.  Run the build with the following command:

    ```bash
    bazel build //main:hello-world
    ```

    The build succeeds without any toolchain registered in `MODULE.bazel`.

    To further see what's under the hood, run:

    ```bash
    bazel build //main:hello-world --toolchain_resolution_debug='@bazel_tools//tools/cpp:toolchain_type'

    INFO: ToolchainResolution: Target platform @@platforms//host:host: Selected execution platform @@platforms//host:host, type @@bazel_tools//tools/cpp:toolchain_type -> toolchain @@bazel_tools+cc_configure_extension+local_config_cc//:cc-compiler-k8
    ```

    Without specifying `--platforms`, Bazel builds the target for
    `@platforms//host` using
    `@bazel_tools+cc_configure_extension+local_config_cc//:cc-compiler-k8`.

## Configure the C++ toolchain

To configure the C++ toolchain, repeatedly build the application and eliminate
each error one by one as described as following.

Note: This tutorial assumes you're using Bazel 7.0.2 or later. If you're using
an older release of Bazel, use `--incompatible_enable_cc_toolchain_resolution`
flag to enable C++ toolchain resolution.

It also assumes `clang version 9.0.1`, although the details should only change
slightly between different versions of clang.

1.  Add `toolchain/BUILD` with

    ```python
    filegroup(name = "empty")

    cc_toolchain(
        name = "linux_x86_64_toolchain",
        toolchain_identifier = "linux_x86_64-toolchain",
        toolchain_config = ":linux_x86_64_toolchain_config",
        all_files = ":empty",
        compiler_files = ":empty",
        dwp_files = ":empty",
        linker_files = ":empty",
        objcopy_files = ":empty",
        strip_files = ":empty",
        supports_param_files = 0,
    )

    toolchain(
        name = "cc_toolchain_for_linux_x86_64",
        toolchain = ":linux_x86_64_toolchain",
        toolchain_type = "@bazel_tools//tools/cpp:toolchain_type",
        exec_compatible_with = [
            "@platforms//cpu:x86_64",
            "@platforms//os:linux",
        ],
        target_compatible_with = [
            "@platforms//cpu:x86_64",
            "@platforms//os:linux",
        ],
    )
    ```

    Then add appropriate dependencies and register the toolchain with
    `MODULE.bazel` with

    ```python
    bazel_dep(name = "platforms", version = "0.0.10")
    register_toolchains(
        "//toolchain:cc_toolchain_for_linux_x86_64"
    )
    ```

    This step defines a `cc_toolchain` and binds it to a `toolchain` target for
    the host configuration.

2.  Run the build again. Because the `toolchain` package doesn't yet define the
    `linux_x86_64_toolchain_config` target, Bazel throws the following error:

    ```bash
    ERROR: toolchain/BUILD:4:13: in toolchain_config attribute of cc_toolchain rule //toolchain:linux_x86_64_toolchain: rule '//toolchain:linux_x86_64_toolchain_config' does not exist.
    ```

3.  In the `toolchain/BUILD` file, define an empty filegroup as follows:

    ```python
    package(default_visibility = ["//visibility:public"])

    filegroup(name = "linux_x86_64_toolchain_config")
    ```

4.  Run the build again. Bazel throws the following error:

    ```bash
    '//toolchain:linux_x86_64_toolchain_config' does not have mandatory providers: 'CcToolchainConfigInfo'.
    ```

    `CcToolchainConfigInfo` is a provider that you use to configure your C++
    toolchains. To fix this error, create a Starlark rule that provides
    `CcToolchainConfigInfo` to Bazel by making a
    `toolchain/cc_toolchain_config.bzl` file with the following content:

    ```python
    def _impl(ctx):
        return cc_common.create_cc_toolchain_config_info(
            ctx = ctx,
            toolchain_identifier = "k8-toolchain",
            host_system_name = "local",
            target_system_name = "local",
            target_cpu = "k8",
            target_libc = "unknown",
            compiler = "clang",
            abi_version = "unknown",
            abi_libc_version = "unknown",
        )

    cc_toolchain_config = rule(
        implementation = _impl,
        attrs = {},
        provides = [CcToolchainConfigInfo],
    )
    ```

    `cc_common.create_cc_toolchain_config_info()` creates the needed provider
    `CcToolchainConfigInfo`. To use the `cc_toolchain_config` rule, add a load
    statement to `toolchain/BUILD` right below the package statement:

    ```python
    load(":cc_toolchain_config.bzl", "cc_toolchain_config")
    ```

    And replace the "linux_x86_64_toolchain_config" filegroup with a declaration
    of a `cc_toolchain_config` rule:

    ```python
    cc_toolchain_config(name = "linux_x86_64_toolchain_config")
    ```

5.  Run the build again. Bazel throws the following error:

    ```bash
    .../BUILD:1:1: C++ compilation of rule '//:hello-world' failed (Exit 1)
    src/main/tools/linux-sandbox-pid1.cc:421:
    "execvp(toolchain/DUMMY_GCC_TOOL, 0x11f20e0)": No such file or directory
    Target //:hello-world failed to build`
    ```

    At this point, Bazel has enough information to attempt building the code but
    it still does not know what tools to use to complete the required build
    actions. You will modify the Starlark rule implementation to tell Bazel what
    tools to use. For that, you need the `tool_path()` constructor from
    [`@bazel_tools//tools/cpp:cc_toolchain_config_lib.bzl`](https://source.bazel.build/bazel/+/4eea5c62a566d21832c93e4c18ec559e75d5c1ce:tools/cpp/cc_toolchain_config_lib.bzl;l=400):

    ```python
    # toolchain/cc_toolchain_config.bzl:
    # NEW
    load("@bazel_tools//tools/cpp:cc_toolchain_config_lib.bzl", "tool_path")

    def _impl(ctx):
        tool_paths = [ # NEW
            tool_path(
                name = "gcc",  # Compiler is referenced by the name "gcc" for historic reasons.
                path = "/usr/bin/clang",
            ),
            tool_path(
                name = "ld",
                path = "/usr/bin/ld",
            ),
            tool_path(
                name = "ar",
                path = "/usr/bin/ar",
            ),
            tool_path(
                name = "cpp",
                path = "/bin/false",
            ),
            tool_path(
                name = "gcov",
                path = "/bin/false",
            ),
            tool_path(
                name = "nm",
                path = "/bin/false",
            ),
            tool_path(
                name = "objdump",
                path = "/bin/false",
            ),
            tool_path(
                name = "strip",
                path = "/bin/false",
            ),
        ]

        return cc_common.create_cc_toolchain_config_info(
            ctx = ctx,
            toolchain_identifier = "local",
            host_system_name = "local",
            target_system_name = "local",
            target_cpu = "k8",
            target_libc = "unknown",
            compiler = "clang",
            abi_version = "unknown",
            abi_libc_version = "unknown",
            tool_paths = tool_paths, # NEW
        )
    ```

    Make sure that `/usr/bin/clang` and `/usr/bin/ld` are the correct paths for
    your system. Note that the compiler is referenced by the name "gcc" for
    historic reasons.

6.  Run the build again. Bazel throws the following error:

    ```bash
    ERROR: main/BUILD:3:10: Compiling main/hello-world.cc failed: absolute path inclusion(s) found in rule '//main:hello-world':
    the source file 'main/hello-world.cc' includes the following non-builtin files with absolute paths (if these are builtin files, make sure these paths are in your toolchain):
      '/usr/include/c++/13/ctime'
      '/usr/include/x86_64-linux-gnu/c++/13/bits/c++config.h'
      '/usr/include/x86_64-linux-gnu/c++/13/bits/os_defines.h'
      ...
    ```

    Bazel needs to know where to search for included headers. There are multiple
    ways to solve this, such as using the `includes` attribute of `cc_binary`,
    but here this is solved at the toolchain level with the
    [`cxx_builtin_include_directories`](/rules/lib/toplevel/cc_common#create_cc_toolchain_config_info)
    parameter of `cc_common.create_cc_toolchain_config_info`. Beware that if you
    are using a different version of `clang`, the include path will be
    different. These paths may also be different depending on the distribution.

    Modify the return value in `toolchain/cc_toolchain_config.bzl` to look like
    this:

    ```python
    return cc_common.create_cc_toolchain_config_info(
        ctx = ctx,
        cxx_builtin_include_directories = [ # NEW
            "/usr/lib/llvm-19/lib/clang/19/include",
            "/usr/include",
        ],
        toolchain_identifier = "local",
        host_system_name = "local",
        target_system_name = "local",
        target_cpu = "k8",
        target_libc = "unknown",
        compiler = "clang",
        abi_version = "unknown",
        abi_libc_version = "unknown",
        tool_paths = tool_paths,
    )
    ```

7.  Run the build command again, you will see an error like:

    ```bash
    /usr/bin/ld: bazel-out/k8-fastbuild/bin/main/_objs/hello-world/hello-world.o: in function `print_localtime()':
    hello-world.cc:(.text+0x68): undefined reference to `std::cout'
    ```

    The reason for this is because the linker is missing the C++ standard
    library and it can't find its symbols. There are many ways to solve this,
    such as using the `linkopts` attribute of `cc_binary`. Here it is solved by
    making sure that any target using the toolchain doesn't have to specify this
    flag.

    Copy the following code to `toolchain/cc_toolchain_config.bzl`:

    ```python
    # NEW
    load("@bazel_tools//tools/build_defs/cc:action_names.bzl", "ACTION_NAMES")
    # NEW
    load(
        "@bazel_tools//tools/cpp:cc_toolchain_config_lib.bzl",
        "feature",    # NEW
        "flag_group", # NEW
        "flag_set",   # NEW
        "tool_path",
    )

    all_link_actions = [ # NEW
        ACTION_NAMES.cpp_link_executable,
        ACTION_NAMES.cpp_link_dynamic_library,
        ACTION_NAMES.cpp_link_nodeps_dynamic_library,
    ]

    def _impl(ctx):
        tool_paths = [
            tool_path(
                name = "gcc",  # Compiler is referenced by the name "gcc" for historic reasons.
                path = "/usr/bin/clang",
            ),
            tool_path(
                name = "ld",
                path = "/usr/bin/ld",
            ),
            tool_path(
                name = "ar",
                path = "/bin/false",
            ),
            tool_path(
                name = "cpp",
                path = "/bin/false",
            ),
            tool_path(
                name = "gcov",
                path = "/bin/false",
            ),
            tool_path(
                name = "nm",
                path = "/bin/false",
            ),
            tool_path(
                name = "objdump",
                path = "/bin/false",
            ),
            tool_path(
                name = "strip",
                path = "/bin/false",
            ),
        ]

        features = [ # NEW
            feature(
                name = "default_linker_flags",
                enabled = True,
                flag_sets = [
                    flag_set(
                        actions = all_link_actions,
                        flag_groups = ([
                            flag_group(
                                flags = [
                                    "-lstdc++",
                                ],
                            ),
                        ]),
                    ),
                ],
            ),
        ]

        return cc_common.create_cc_toolchain_config_info(
            ctx = ctx,
            features = features, # NEW
            cxx_builtin_include_directories = [
                "/usr/lib/llvm-19/lib/clang/19/include",
                "/usr/include",
            ],
            toolchain_identifier = "local",
            host_system_name = "local",
            target_system_name = "local",
            target_cpu = "k8",
            target_libc = "unknown",
            compiler = "clang",
            abi_version = "unknown",
            abi_libc_version = "unknown",
            tool_paths = tool_paths,
        )

    cc_toolchain_config = rule(
        implementation = _impl,
        attrs = {},
        provides = [CcToolchainConfigInfo],
    )
    ```

    Note that this code uses the GNU C++ library libstdc++. If you want to use
    the LLVM C++ library, use "-lc++" instead of "-lstdc++".

8.  Running `bazel build //main:hello-world`, it should finally build the binary
    successfully for host.

9.  In `toolchain/BUILD`, copy the `cc_toolchain_config`, `cc_toolchain`, and
    `toolchain` targets and replace `linux_x86_64` with `android_x86_64`in
    target names.

    In `MODULE.bazel`, register the toolchain for android

    ```python
    register_toolchains(
        "//toolchain:cc_toolchain_for_linux_x86_64",
        "//toolchain:cc_toolchain_for_android_x86_64"
    )
    ```

10.  Run `bazel build //main:hello-world
    --android_platforms=//toolchain:android_x86_64` to build the binary for
    Android.

In practice, Linux and Android should have different C++ toolchain configs. You
can either modify the existing `cc_toolchain_config` for the differences or
create a separate rules (i.e. `CcToolchainConfigInfo` provider) for separate
platforms.

## Review your work

In this tutorial you learned how to configure a basic C++ toolchain, but
toolchains are more powerful than this example.

The key takeaways are:

-   You need to specify a matching `platforms` flag in the command line for
    Bazel to resolve to the toolchain for the same constraint values on the
    platform. The documentation holds more [information about language specific
    configuration flags](/concepts/platforms).
-   You have to let the toolchain know where the tools live. In this tutorial
    there is a simplified version where you access the tools from the system. If
    you are interested in a more self-contained approach, you can read about
    [external dependencies](/external/overview). Your tools could come from a
    different module and you would have to make their files available to the
    `cc_toolchain` with target dependencies on attributes, such as
    `compiler_files`. The `tool_paths` would need to be changed as well.
-   You can create features to customize which flags should be passed to
    different actions, be it linking or any other type of action.

## Further reading

For more details, see [C++ toolchain
configuration](/docs/cc-toolchain-config-reference)