It is recommended to use Bazelisk installed as bazel
, to avoid Bazel compatibility issues.
On Linux, run the following commands:
sudo wget -O /usr/local/bin/bazel https://github.com/bazelbuild/bazelisk/releases/latest/download/bazelisk-linux-amd64
sudo chmod +x /usr/local/bin/bazel
On macOS, run the following command:
brew install bazelbuild/tap/bazelisk
On Windows, run the following commands:
mkdir %USERPROFILE%\bazel
powershell Invoke-WebRequest https://github.com/bazelbuild/bazelisk/releases/latest/download/bazelisk-windows-amd64.exe -OutFile %USERPROFILE%\bazel\bazel.exe
set PATH=%PATH%;%USERPROFILE%\bazel
If you're building from an revision of Envoy prior to August 2019, which doesn't contains a .bazelversion
file, run ci/run_envoy_docker.sh "bazel version"
to find the right version of Bazel and set the version to USE_BAZEL_VERSION
environment variable to build.
To build Envoy with Bazel in a production environment, where the Envoy dependencies are typically independently sourced, the following steps should be followed:
- Configure, build and/or install the Envoy dependencies.
bazel build -c opt //source/exe:envoy-static
from the repository root.
As a developer convenience, a WORKSPACE and rules for building a recent version of the various Envoy dependencies are provided. These are provided as is, they are only suitable for development and testing purposes. The specific versions of the Envoy dependencies used in this build may not be up-to-date with the latest security patches. See this doc for how to update or override dependencies.
-
Install external dependencies.
On Ubuntu, run the following:
sudo apt-get install \ libtool \ cmake \ automake \ autoconf \ make \ ninja-build \ curl \ unzip \ virtualenv
On Fedora (maybe also other red hat distros), run the following:
dnf install cmake libtool libstdc++ libstdc++-static libatomic ninja-build lld patch aspell-en
On Linux, we recommend using the prebuilt Clang+LLVM package from LLVM official site. Extract the tar.xz and run the following:
bazel/setup_clang.sh <PATH_TO_EXTRACTED_CLANG_LLVM>
This will setup a
clang.bazelrc
file in Envoy source root. If you want to make clang as default, run the following:echo "build --config=clang" >> user.bazelrc
Note: Either
libc++
orlibstdc++-7-dev
(or higher) must be installed. These are typically available via a package manager, but may not be available in default repositories depending on OS version. To build againstlibc++
build with the--config=libc++
instead of the--config=clang
flag.On macOS, you'll need to install several dependencies. This can be accomplished via Homebrew:
brew install coreutils wget cmake libtool go bazel automake ninja clang-format autoconf aspell
notes:
coreutils
is used forrealpath
,gmd5sum
andgsha256sum
Xcode is also required to build Envoy on macOS. Envoy compiles and passes tests with the version of clang installed by Xcode 11.1: Apple clang version 11.0.0 (clang-1100.0.33.8).
In order for bazel to be aware of the tools installed by brew, the PATH variable must be set for bazel builds. This can be accomplished by setting this in your
user.bazelrc
file:build --action_env=PATH="/usr/local/bin:/opt/local/bin:/usr/bin:/bin"
Alternatively, you can pass
--action_env
on the command line when runningbazel build
/bazel test
.Having the binutils keg installed in Brew is known to cause issues due to putting an incompatible version of
ar
on the PATH, so if you run into issues building third party code like luajit consider uninstalling binutils.On Windows, you'll need to install several dependencies manually.
python3: Specifically, the Windows-native flavor. The POSIX flavor available via MSYS2 will not work, nor will the Windows Store flavor. You need to add a symlink for
python3.exe
pointing to the installedpython.exe
for Bazel rules which follow POSIX conventions. Be sure to addpip.exe
to the PATH and install thewheel
package.mklink %USERPROFILE%\Python38\python3.exe %USERPROFILE%\Python38\python.exe set PATH=%PATH%;%USERPROFILE%\Python38 set PATH=%PATH%;%USERPROFILE%\Python38\Scripts pip install wheel
Build Tools for Visual Studio 2019: For building with MSVC (the
msvc-cl
config option), you must install at least the VC++ workload. You may also download Visual Studio 2019 and use the Build Tools packaged with that installation. Earlier versions of VC++ Build Tools/Visual Studio are not recommended at this time. If installed in a non-standard filesystem location, be sure to set theBAZEL_VC
environment variable to the path of the VC++ package to allow Bazel to find your installation of VC++. Use caution to ensure thelink.exe
that resolves on your PATH is from VC++ Build Tools and not MSYS2.set BAZEL_VC=%USERPROFILE%\VSBT2019\VC set PATH=%PATH%;%USERPROFILE%\VSBT2019\VC\Tools\MSVC\14.26.28801\bin\Hostx64\x64
Ensure
CMake
andninja
binaries are on the PATH. The versions packaged with VC++ Build Tools are sufficient.set PATH=%PATH%;%USERPROFILE%\VSBT2019\Common7\IDE\CommonExtensions\Microsoft\CMake\CMake\bin set PATH=%PATH%;%USERPROFILE%\VSBT2019\Common7\IDE\CommonExtensions\Microsoft\CMake\Ninja
MSYS2 shell: Set the
BAZEL_SH
environment variable to the path of the installed MSYS2bash.exe
executable. Additionally, setting theMSYS2_ARG_CONV_EXCL
environment variable to a value of*
is often advisable to ensure argument parsing in the MSYS2 shell behaves as expected.set PATH=%PATH%;%USERPROFILE%\msys64\usr\bin set BAZEL_SH=%USERPROFILE%\msys64\usr\bin\bash.exe set MSYS2_ARG_CONV_EXCL=*
In addition, because of the behavior of the
rules_foreign_cc
component of Bazel, set theTMPDIR
environment variable to a path usable as a temporary directory (e.g.C:\Windows\TEMP
). This variable is used frequently bymktemp
from MSYS2 in the Envoy Bazel build and can cause problems if not set to a value outside the MSYS2 filesystem. Note that using theci/windows_ci_steps.sh
script (to build and run tests) will create a directory symlink linkingC:\c
toC:\
in order to enable build scripts run via MSYS2 to access dependencies in the temporary directory specified above. If you are not using that script, you will need to create that symlink manually.set TMPDIR=C:\Windows\TEMP mklink /d C:\c C:\
In the MSYS2 shell, install additional packages via pacman:
pacman -S diffutils patch unzip zip
Git: The version installable via MSYS2 is also sufficient.
set PATH=%PATH%;%USERPROFILE%\Git\bin
Lastly, persist environment variable changes.
setx PATH "%PATH%" setx BAZEL_SH "%BAZEL_SH%" setx MSYS2_ARG_CONV_EXCL "%MSYS2_ARG_CONV_EXCL%" setx BAZEL_VC "%BAZEL_VC%" setx TMPDIR "%TMPDIR%"
-
Install Golang on your machine. This is required as part of building BoringSSL and also for Buildifer which is used for formatting bazel BUILD files.
-
go get -u github.com/bazelbuild/buildtools/buildifier
to install buildifier. You may need to setBUILDIFIER_BIN
to$GOPATH/bin/buildifier
in your shell for buildifier to work. -
go get -u github.com/bazelbuild/buildtools/buildozer
to install buildozer. You may need to setBUILDOZER_BIN
to$GOPATH/bin/buildozer
in your shell for buildozer to work. -
bazel build //source/exe:envoy-static
from the Envoy source directory.
Envoy can also be built with the Docker image used for CI, by installing Docker and executing the following.
On Linux, run:
./ci/run_envoy_docker.sh './ci/do_ci.sh bazel.dev'
On Windows:
./ci/run_envoy_docker_windows.sh './ci/windows_ci_steps.sh'
See also the documentation for developer use of the CI Docker image.
Envoy can also be built with Bazel Remote Execution, part of the CI is running with the hosted GCP RBE service.
To build Envoy with a remote build services, run Bazel with your remote build service flags and with --config=remote-clang
.
For example the following command runs build with the GCP RBE service used in CI:
bazel build //source/exe:envoy-static --config=remote-clang \
--remote_cache=grpcs://remotebuildexecution.googleapis.com \
--remote_executor=grpcs://remotebuildexecution.googleapis.com \
--remote_instance_name=projects/envoy-ci/instances/default_instance
Change the value of --remote_cache
, --remote_executor
and --remote_instance_name
for your remote build services. Tests can
be run in remote execution too.
Note: Currently the test run configuration in .bazelrc
doesn't download test binaries and test logs,
to override the behavior set --experimental_remote_download_outputs
accordingly.
Building Envoy with Docker sandbox uses the same Docker image used in CI with fixed C++ toolchain configuration. It produces more consistent output which is not depending on your local C++ toolchain. It can also help debugging issues with RBE. To build Envoy with Docker sandbox:
bazel build //source/exe:envoy-static --config=docker-clang
Tests can be run in docker sandbox too. Note that the network environment, such as IPv6, may be different in the docker sandbox so you may want set different options. See below to configure test IP versions.
To link Envoy against libc++, follow the quick start to setup Clang+LLVM and run:
bazel build --config=libc++ //source/exe:envoy-static
Or use our configuration with Remote Execution or Docker sandbox, pass --config=remote-clang-libc++
or
--config=docker-clang-libc++
respectively.
If you want to make libc++ as default, add a line build --config=libc++
to the user.bazelrc
file in Envoy source root.
By setting the CC
and LD_LIBRARY_PATH
in the environment that Bazel executes from as
appropriate, an arbitrary compiler toolchain and standard library location can be specified. One
slight caveat is that (at the time of writing), Bazel expects the binutils in $(dirname $CC)
to be
unprefixed, e.g. as
instead of x86_64-linux-gnu-as
.
Note: this configuration currently doesn't work with Remote Execution or Docker sandbox, you have to generate a custom toolchains configuration for them. See bazelbuild/bazel-toolchains for more details.
We now require Clang >= 5.0 due to known issues with std::string thread safety and C++14 support. GCC >= 7 is also known to work. Currently the CI is running with Clang 10.
By default Clang drops some debug symbols that are required for pretty printing to work correctly.
More information can be found here. The easy solution
is to set --copt=-fno-limit-debug-info
on the CLI or in your .bazelrc file.
If you don't want your debug or release binaries to contain debug info
to reduce binary size, pass --define=no_debug_info=1
when building.
This is primarily useful when building envoy as a static library. When
building a linked envoy binary you can build the implicit .stripped
target from cc_binary
or pass --strip=always
instead.
All the Envoy tests can be built and run with:
bazel test //test/...
An individual test target can be run with a more specific Bazel label, e.g. to build and run only the units tests in test/common/http/async_client_impl_test.cc:
bazel test //test/common/http:async_client_impl_test
To observe more verbose test output:
bazel test --test_output=streamed //test/common/http:async_client_impl_test
It's also possible to pass into an Envoy test additional command-line args via --test_arg
. For
example, for extremely verbose test debugging:
bazel test --test_output=streamed //test/common/http:async_client_impl_test --test_arg="-l trace"
By default, testing exercises both IPv4 and IPv6 address connections. In IPv4 or IPv6 only environments, set the environment variable ENVOY_IP_TEST_VERSIONS to "v4only" or "v6only", respectively.
bazel test //test/... --test_env=ENVOY_IP_TEST_VERSIONS=v4only
bazel test //test/... --test_env=ENVOY_IP_TEST_VERSIONS=v6only
By default, tests are run with the gperftools heap checker enabled in "normal" mode to detect leaks. For other mode options, see the gperftools heap checker documentation. To disable the heap checker or change the mode, set the HEAPCHECK environment variable:
# Disables the heap checker
bazel test //test/... --test_env=HEAPCHECK=
# Changes the heap checker to "minimal" mode
bazel test //test/... --test_env=HEAPCHECK=minimal
If you see a leak detected, by default the reported offsets will require addr2line
interpretation.
You can run under --config=clang-asan
to have this automatically applied.
Bazel will by default cache successful test results. To force it to rerun tests:
bazel test //test/common/http:async_client_impl_test --cache_test_results=no
Bazel will by default run all tests inside a sandbox, which disallows access to the
local filesystem. If you need to break out of the sandbox (for example to run under a
local script or tool with --run_under
),
you can run the test with --strategy=TestRunner=local
, e.g.:
bazel test //test/common/http:async_client_impl_test --strategy=TestRunner=local --run_under=/some/path/foobar.sh
Envoy can produce backtraces on demand and from assertions and other fatal actions like segfaults. Where supported, stack traces will contain resolved symbols, though not include line numbers. On systems where absl::Symbolization is not supported, the stack traces written in the log or to stderr contain addresses rather than resolved symbols. If the symbols were resolved, the address is also included at the end of the line.
The tools/stack_decode.py
script exists to process the output and do additional symbol
resolution including file names and line numbers. It requires the addr2line
program be
installed and in your path. Any log lines not relevant to the backtrace capability are
passed through the script unchanged (it acts like a filter). File and line information
is appended to the stack trace lines.
The script runs in one of two modes. To process log input from stdin, pass -s
as the first
argument, followed by the executable file path. You can postprocess a log or pipe the output
of an Envoy process. If you do not specify the -s
argument it runs the arguments as a child
process. This enables you to run a test with backtrace post processing. Bazel sandboxing must
be disabled by specifying local execution. Example command line with
run_under
:
bazel test -c dbg //test/server:backtrace_test
--run_under=`pwd`/tools/stack_decode.py --strategy=TestRunner=local
--cache_test_results=no --test_output=all
Example using input on stdin:
bazel test -c dbg //test/server:backtrace_test --cache_test_results=no --test_output=streamed |& tools/stack_decode.py -s bazel-bin/test/server/backtrace_test
You will need to use either a dbg
build type or the opt
build type to get file and line
symbol information in the binaries.
By default main.cc will install signal handlers to print backtraces at the
location where a fatal signal occurred. The signal handler will re-raise the
fatal signal with the default handler so a core file will still be dumped after
the stack trace is logged. To inhibit this behavior use
--define=signal_trace=disabled
on the Bazel command line. No signal handlers will
be installed.
bazel build -c dbg //test/common/http:async_client_impl_test
gdb bazel-bin/test/common/http/async_client_impl_test
Without the -c dbg
Bazel option at the end of the command line the test
binaries will not include debugging symbols and GDB will not be very useful.
Some tests may require privileges (e.g. CAP_NET_ADMIN) in order to execute. One option is to run
them with elevated privileges, e.g. sudo test
. However, that may not always be possible,
particularly if the test needs to run in a CI pipeline. tools/bazel-test-docker.sh
may be used in
such situations to run the tests in a privileged docker container.
The script works by wrapping the test execution in the current repository's circle ci build
container, then executing it either locally or on a remote docker container. In both cases, the
container runs with the --privileged
flag, allowing it to execute operations which would otherwise
be restricted.
The command line format is:
tools/bazel-test-docker.sh <bazel-test-target> [optional-flags-to-bazel]
The script uses two optional environment variables to control its behaviour:
RUN_REMOTE=<yes|no>
: chooses whether to run on a remote docker server.LOCAL_MOUNT=<yes|no>
: copy/mount local libraries onto the docker container.
Use RUN_REMOTE=yes
when you don't want to run against your local docker instance. Note that you
will need to override a few environment variables to set up the remote docker. The list of variables
can be found in the Documentation.
Use LOCAL_MOUNT=yes
when you are not building with the Envoy build container. This will ensure
that the libraries against which the tests dynamically link will be available and of the correct
version.
Running the http integration test in a privileged container:
tools/bazel-test-docker.sh //test/integration:integration_test --jobs=4 -c dbg
Running the http integration test compiled locally against a privileged remote container:
setup_remote_docker_variables
RUN_REMOTE=yes MOUNT_LOCAL=yes tools/bazel-test-docker.sh //test/integration:integration_test \
--jobs=4 -c dbg
In general, there are 3 compilation modes that Bazel supports:
fastbuild
:-O0
, aimed at developer speed (default).opt
:-O2 -DNDEBUG -ggdb3
, for production builds and performance benchmarking.dbg
:-O0 -ggdb3
, no optimization and debug symbols.
You can use the -c <compilation_mode>
flag to control this, e.g.
bazel build -c opt //source/exe:envoy-static
To override the compilation mode and optimize the build for binary size, you can
use the sizeopt
configuration:
bazel build //source/exe:envoy-static --config=sizeopt
To build and run tests with the gcc compiler's address sanitizer (ASAN) and undefined behavior (UBSAN) sanitizer enabled:
bazel test -c dbg --config=asan //test/...
The ASAN failure stack traces include line numbers as a result of running ASAN with a dbg
build above. If the
stack trace is not symbolized, try setting the ASAN_SYMBOLIZER_PATH environment variable to point to the
llvm-symbolizer binary (or make sure the llvm-symbolizer is in your $PATH).
If you have clang-5.0 or newer, additional checks are provided with:
bazel test -c dbg --config=clang-asan //test/...
Similarly, for thread sanitizer (TSAN) testing:
bazel test -c dbg --config=clang-tsan //test/...
For memory sanitizer (MSAN) testing, it has to be run under the docker sandbox which comes with MSAN instrumented libc++:
bazel test -c dbg --config=docker-msan //test/...
To run the sanitizers on OS X, prefix macos-
to the config option, e.g.:
bazel test -c dbg --config=macos-asan //test/...
Log verbosity is controlled at runtime in all builds.
The following optional features can be disabled on the Bazel build command-line:
- Hot restart with
--define hot_restart=disabled
- Google C++ gRPC client with
--define google_grpc=disabled
- Backtracing on signals with
--define signal_trace=disabled
- Active stream state dump on signals with
--define signal_trace=disabled
or--define disable_object_dump_on_signal_trace=disabled
- tcmalloc with
--define tcmalloc=disabled
- deprecated features with
--define deprecated_features=disabled
The following optional features can be enabled on the Bazel build command-line:
- Exported symbols during linking with
--define exported_symbols=enabled
. This is useful in cases where you have a lua script that loads shared object libraries, such as those installed via luarocks. - Perf annotation with
--define perf_annotation=enabled
(see source/common/common/perf_annotation.h for details). - BoringSSL can be built in a FIPS-compliant mode with
--define boringssl=fips
(see FIPS 140-2 for details). - ASSERT() can be configured to log failures and increment a stat counter in a release build with
--define log_debug_assert_in_release=enabled
. The default behavior is to compile debug assertions out of release builds so that the condition is not evaluated. This option has no effect in debug builds. - memory-debugging (scribbling over memory after allocation and before freeing) with
--define tcmalloc=debug
. Note this option cannot be used with FIPS-compliant mode BoringSSL. - Default path normalization with
--define path_normalization_by_default=true
. Note this still could be disable by explicit xDS config. - Manual stamping via VersionInfo with
--define manual_stamp=manual_stamp
. This is needed if theversion_info_lib
is compiled via a non-binary bazel rules, e.genvoy_cc_library
. Otherwise, the linker will fail to resolve symbols that are included via thelinktamp
rule, which is only available to binary targets. This is being tracked as a feature in: envoyproxy#6859. - Process logging for Android applications can be enabled with
--define logger=android
. - Excluding assertions for known issues with
--define disable_known_issue_asserts=true
. A KNOWN_ISSUE_ASSERT is an assertion that should pass (like all assertions), but sometimes fails for some as-yet unidentified or unresolved reason. Because it is known to potentially fail, it can be compiled out even when DEBUG is true, when this flag is set. This allows Envoy to be run in production with assertions generally enabled, without crashing for known issues. KNOWN_ISSUE_ASSERT should only be used for newly-discovered issues that represent benign violations of expectations.
Envoy uses a modular build which allows extensions to be removed if they are not needed or desired. Extensions that can be removed are contained in extensions_build_config.bzl. Use the following procedure to customize the extensions for your build:
- The Envoy build assumes that a Bazel repository named
@envoy_build_config
exists which contains the file@envoy_build_config//:extensions_build_config.bzl
. In the default build, a synthetic repository is created containing extensions_build_config.bzl. Thus, the default build has all extensions. - Start by creating a new Bazel workspace somewhere in the filesystem that your build can access.
This workspace should contain:
- Empty WORKSPACE file.
- Empty BUILD file.
- A copy of extensions_build_config.bzl.
- Comment out any extensions that you don't want to build in your file copy.
To have your local build use your overridden configuration repository there are two options:
- Use the
--override_repository
CLI option to override the@envoy_build_config
repo. - Use the following snippet in your WORKSPACE before you load the Envoy repository. E.g.,
workspace(name = "envoy")
local_repository(
name = "envoy_build_config",
# Relative paths are also supported.
path = "/somewhere/on/filesystem/envoy_build_config",
)
local_repository(
name = "envoy",
# Relative paths are also supported.
path = "/somewhere/on/filesystem/envoy",
)
...
Release builds should be built in opt
mode, processed with strip
and have a
.note.gnu.build-id
section with the Git SHA1 at which the build took place.
They should also ignore any local .bazelrc
for reproducibility. This can be
achieved with:
bazel --bazelrc=/dev/null build -c opt //source/exe:envoy-static.stripped
One caveat to note is that the Git SHA1 is truncated to 16 bytes today as a result of the workaround in place for bazelbuild/bazel#2805.
To generate coverage results, make sure you are using a clang toolchain and have llvm-cov
and
llvm-profdata
in your PATH
. Then run:
test/run_envoy_bazel_coverage.sh
The summary results are printed to the standard output and the full coverage
report is available in generated/coverage/coverage.html
.
Coverage for every PR is available in Circle in the "artifacts" tab of the coverage job. You will need to navigate down and open "coverage.html" but then you can navigate per normal. NOTE: We have seen some issues with seeing the artifacts tab. If you can't see it, log out of Circle, and then log back in and it should start working.
The latest coverage report for master is available here.
It's also possible to specialize the coverage build to a specified test or test dir. This is useful
when doing things like exploring the coverage of a fuzzer over its corpus. This can be done by
passing coverage targets as the command-line arguments and using the VALIDATE_COVERAGE
environment
variable, e.g.:
VALIDATE_COVERAGE=false test/run_envoy_bazel_coverage.sh //test/common/common:base64_fuzz_test
bazel clean
will nuke all the build/test artifacts from the Bazel cache for
Envoy proper. To remove the artifacts for the external dependencies run
bazel clean --expunge
.
If something goes really wrong and none of the above work to resolve a stale build issue, you can
always remove your Bazel cache completely. It is likely located in ~/.cache/bazel
.
See the developer guide for writing Envoy Bazel rules.
If the (virtual) machine that is performing the build is low on memory or CPU
resources, you can override Bazel's default job parallelism determination with
--jobs=N
to restrict the build to at most N
simultaneous jobs, e.g.:
bazel build --jobs=2 //source/exe:envoy-static
When trying to understand what Bazel is doing, the -s
and --explain
options
are useful. To have Bazel provide verbose output on which commands it is executing:
bazel build -s //source/exe:envoy-static
To have Bazel emit to a text file the rationale for rebuilding a target:
bazel build --explain=file.txt //source/exe:envoy-static
To get more verbose explanations:
bazel build --explain=file.txt --verbose_explanations //source/exe:envoy-static
Sometimes it's useful to see real system paths in bazel error message output (vs. symbolic links).
tools/path_fix.sh
is provided to help with this. See the comments in that file.
Run tools/gen_compilation_database.py
to generate
a JSON Compilation Database. This could be used
with any tools (e.g. clang-tidy) compatible with the format. It is recommended to run this script
with TEST_TMPDIR
set, so the Bazel artifacts doesn't get cleaned up in next bazel build
or bazel test
.
The compilation database could also be used to setup editors with cross reference, code completion. For example, you can use You Complete Me or clangd with supported editors.
For example, use following command to prepare a compilation database:
TEST_TMPDIR=/tmp tools/gen_compilation_database.py --run_bazel_build
The easiest way to run the clang-format check/fix commands is to run them via docker, which helps ensure the right toolchain is set up. However you may prefer to run clang-format scripts on your workstation directly:
- It's possible there is a speed advantage
- Docker itself can sometimes go awry and you then have to deal with that
- Type-ahead doesn't always work when waiting running a command through docker
To run the tools directly, you must install the correct version of clang. This may change over time, check the version of clang in the docker image. You must also have 'buildifier' installed from the bazel distribution.
Edit the paths shown here to reflect the installation locations on your system:
export CLANG_FORMAT="$HOME/ext/clang+llvm-10.0.0-x86_64-linux-gnu-ubuntu-18.04/bin/clang-format"
export BUILDIFIER_BIN="/usr/bin/buildifier"
Once this is set up, you can run clang-format without docker:
./tools/code_format/check_format.py check
./tools/spelling/check_spelling.sh check
./tools/code_format/check_format.py fix
./tools/spelling/check_spelling.sh fix
Setting up an HTTP cache for Bazel output helps optimize Bazel performance and resource usage when using multiple compilation modes or multiple trees.
You may use any Remote Caching backend as an alternative to this.
This requires Go 1.11+, follow the instructions to install if you don't have one. To start the cache, run the following from the root of the Envoy repository (or anywhere else that the Go toolchain can find the necessary dependencies):
go run github.com/buchgr/bazel-remote --dir ${HOME}/bazel_cache --host 127.0.0.1 --port 28080 --max_size 64
See Bazel remote cache for more information on the parameters.
The command above will setup a maximum 64 GiB cache at ~/bazel_cache
on port 28080. You might
want to setup a larger cache if you run ASAN builds.
NOTE: Using docker to run remote cache server described in remote cache docs will likely have slower cache performance on macOS due to slow disk performance on Docker for Mac.
Adding the following parameter to Bazel everytime or persist them in .bazelrc
.
--remote_http_cache=http://127.0.0.1:28080/